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Dissertations / Theses on the topic 'IT Service Management (ITSM)'

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Lukavcová, Kateřina. "Problematika implementace ITSM." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-165191.

Rabbi, Md Forhad. "An IT Service Taxonomy for Elaborating IT Service Catalog." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3440.

Antalík, Dominik. "Návrh zavedení ITSM s využitím rámce ITIL se zaměřením na bezpečnost." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-378360.

Gryc, Václav. "Integrace ITSM aplikací prostřednictvím webových služeb a IBM cloudu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442350.

Šimčík, Vlastimil. "Model Incident managementu v dialogovém rozhraní e-commerce." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2011. http://www.nusl.cz/ntk/nusl-223118.

Ramachandran, Selvakumar, and Lavanya Santapoor. "An Exploratory Study on the Relationship between Software Management and IT Service Management." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3163.

Assad, Muhammad Imran, and Mian Abbas Ahmad. "Guidelines for ITIL Implementation : A Framework for IT Service Management." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-28764.

Grewal, Sandeep Kaur, and n/a. "Issues in IT Governance & IT service management - a study of their adoption in Australian universities." University of Canberra. Information Sciences & Engineering, 2006. http://erl.canberra.edu.au./public/adt-AUC20060804.092632.

Soukup, Zdeněk. "Technická podpora managementu incidentů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-412870.

Platil, Josef. "Možnosti poskytování služeb veřejné správy pomocí metodiky ITIL." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-85234.

Vaněk, Michal. "Technická podpora managementu změn." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236210.

Bergonzoni, Lisa. "Gestione di infrastrutture IT secondo lo standard ITIL: Case Study implementazione processo Transform." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

黎慕儀 and Mo-yi Lai. "Private sector involvement and its impact on service provider and service deliverers." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B42576416.

Wielgosz, Wojciech, and Anna Tourlova. "Introduction of POSO concept by WILO AB and its Benefits for the Company." Licentiate thesis, Växjö University, School of Management and Economics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1299.

The Swedish branch of the WILO Group and the daughter of the WILO AG, which is one of the biggest producer of pumps worldwide, is going to introduce a new business organization concept in Sweden and evolve the present company's structure into a more customer-oriented one (Project-Oriented-Service-Organization) based on the experiences of the parental company in Germany – WILO AG.

A new service approach is going to be introduced by a company, which deals with business-to-business customers. Although manufacturers of industrial goods and equipment turn their interest from single transactions to doing business on the long-term scale with their customers, but still not many companies are in this process

Lindström, Håkan. "Analys och förslag till förbättringar med avseende på GUI och funktion ur ett användbarhetsperpektiv av programvaran Service Desk Manager." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78477.

Mabomba, Annie Chisomo. "Examining Malawi's administrative reform and its impact on service delivery." Thesis, University of Fort Hare, 2011. http://hdl.handle.net/10353/d1001249.

Mok, Tsz-oon, and 莫梓湲. "Shoppers' evaluation of service quality and its impact on shopping centre management." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/194927.

Sheehan, Conor. "Emotional self-management and its significance for well-being in service work." Thesis, University of Brighton, 2017. https://research.brighton.ac.uk/en/studentTheses/e0c0941b-4fb5-48a9-bcf5-03e15b4f55e8.

Guo, Jia. "Trust-based Service Management of Internet of Things Systems and Its Applications." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/82854.

Chan, Hon-sang, and 陳漢生. "The estate management service of the Housing Department: a study of its privatization." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31966111.

Chan, Hon-sang. "The estate management service of the Housing Department : a study of its privatization /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22050607.

Kondamudi, Harini. "Web Service for Knowledge Management Information Tool (KMIT) Hotline module and its Security." FIU Digital Commons, 2010. http://digitalcommons.fiu.edu/etd/262.

Wang, Yating. "Trust-Based Service Management for Service-Oriented Mobile Ad Hoc Networks and Its Application to Service Composition and Task Assignment with Multi-Objective Optimization Goals." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/70965.

CARMO, ANNIBAL JOSE RORIS RODRIGUEZ SCAVARDA DO. "EVOCATIVE METHODOLOGY FOR CAUSAL MAPPING AND ITS PERSPECTIVE IN THE OPERATIONS MANAGEMENT WITH INTERNET-BASED APPLICATIONS FOR SUPPLY CHAIN MANAGEMENT AND SERVICE MANAGEMENT." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5331@1.

Lam, Kit Peng. "Service quality and its implications to management : a case of Luso International Banking Ltd." Thesis, University of Macau, 1999. http://umaclib3.umac.mo/record=b1636736.

Albadry, Omaima Munawar. "Strategic management and its impact on university's service quality : the role of organisational commitment." Thesis, University of Plymouth, 2016. http://hdl.handle.net/10026.1/4254.

Ferrel, Tyrone H. "Rapid, value-based, evolutionary acquisition and its application to a USMC tactical service orientated architecture." Thesis, Monterey, Calif. : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Jun/09Jun%5FFerrel.pdf.

Dixon, John. "The reform of the Australian Public Service : commercialisation and its implications for public management education /." View thesis, 1995. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030818.114628/index.html.

Jouvenot, Martin. "Structural complexity in service-oriented systems and its effects on system evolution and performance : a multi-cases study." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122439.

El, Shafeey Tarek. "Radical service innovation capabilities and competences and its performance measurement in the Egyptian banking sector." Thesis, University of Portsmouth, 2013. https://researchportal.port.ac.uk/portal/en/theses/radical-service-innovation-capabilities-and-competences-and-its-performance-measurement-in-the-egyptian-banking-sector(eff013ba-0aed-440a-bd37-b2cd3dbf24f2).html.

Tsang, Mon-wah. "Civil service reform : its impact on human resource management of the 'street-level bureaucrats' of the Immigration Department in Hong Kong /." Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B2513971.

Lao, Lai Lai. "Service quality and its relationship with customer behavioral intentions in Macau electricity industry : case of CEM." Thesis, University of Macau, 2004. http://umaclib3.umac.mo/record=b1636739.

Hibert, Sanchez Abel Mauro. "A dominant firm strategy and its effect on the capital structure of non-dominant firms in the self service discount stores industry and auctions for radio spectrum to mobile services in Mexico." Thesis, Instituto Tecnologico y de Estudios Superiores de Monterrey (Mexico), 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3585550.

In an industry characterized by oligopolistic market structures there are generally firms that have enough market power as to influence the pricing and output decisions of all participants, forcing others to follow the strategies decided by the dominant firm(s) with very little opportunity to do otherwise (Besanko et al 2010, Tirole 1990). When a dominant firm is at the same time part of a larger corporation, and due to the financial support it is likely to have from its parent, it has the capacity to support an above-average, constant long-term investment strategy as a logical reaction to protect (or minimize) the loss of market share, and the rest of the participants in the industry are expected to also make an attempt to increase their investments, permanently affecting their long-term capital structure strategy (Chevalier 1995). This dissertation’s contribution to the literature in the field consists on presenting an empirical analysis of the capital structure decisions of the non-dominant firms in the Self-Service Discount Stores Industry (SSDSI) that result from the rapid expansion of Wal-Mart in the Mexican market, as well as an empirical analysis of the investment decisions in radiofrequencies of the incumbents firms in the capital structure of the other firms in the Mobile sector in Mexico.

Keywords (Industrial organization, Economics of Strategy, market structure, oligopolistic competition, capital structure, conditioned investment, market concentration, supermarket sector, spectrum auctions).

曾滿華 and Mon-wah Tsang. "Civil service reform: its impact on human resource management of the 'street-level bureaucrats' of theImmigration Department in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31967036.

Butterfield, Reginald A. "The introduction of new public management in the police service : its impact on the role of the police sergeant supervisor." Thesis, Kingston University, 2001. http://eprints.kingston.ac.uk/20672/.

Sonnet, Maria Claudia. "Cost of stockouts in the microprocessor business and its impact in determining the optimal service level/." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34863.

Daxböck, Birgit Verfasser], Sven M. [Gutachter] Laudien, Patrick [Gutachter] [Spieth, and Till [Gutachter] Talaulicar. "Multiple perspectives on product-service transition and its influence on business model design in manufacturing firms / Birgit Daxböck ; Gutachter: Sven M. Laudien, Patrick Spieth, Till Talaulicar." Erfurt : Universität Erfurt, 2016. http://d-nb.info/1215976828/34.

Lui, Tak Ching. "Service quality of information systems development : its impacts on system success and an initial attempt to develop a new measurement instrument." HKBU Institutional Repository, 2000. http://repository.hkbu.edu.hk/etd_ra/231.

Chiu, Hua-chan, and 邱華誠. "A study of service quality & its applications for the management of the shopping centers of the Hong Kong Housing Authority." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31968752.

Phillips, Claudia Goetz. "An Evaluation of Ecosystem Management and Its Application to the National Environmental Policy Act: The Case of the U.S. Forest Service." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30579.

Mapoka, Trust Tshepo. "Location based authenticated multi-services group key management for cyber security in high speed broadband wireless multicast communications : multi-service group key management scheme with location based handover authentication for multi-handoffs participating in multi-group service subscriptions, its performance evaluation and security correctness in high speed broadband wireless multicast communications." Thesis, University of Bradford, 2015. http://hdl.handle.net/10454/14468.

Hao, Shuai, and Limin Chen. "Exploring Coopetition in Single Firm and Its Contribution to Service Management : A case study in Red Star Macalline and IKEA China." Thesis, Linköpings universitet, Företagsekonomi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78973.

Chiu, Hua-chan. "A study of service quality & its applications for the management of the shopping centers of the Hong Kong Housing Authority." Click to view the E-thesis via HKUTO, 2000. http://sunzi.lib.hku.hk/hkuto/record/B31968752.

Farmand, Mohammadreza. "Proposing a comprehensive framework for ITSM efficiency." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17238.

Båth, Johan, and Jakob Köhler. "Innovation Management in Business-to-Business Software as a Service Startups: : Investigating the Lean Startup Methodology and its Shortcomings around Selecting Ideas." Thesis, KTH, Industriell Marknadsföring och Entreprenörskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-212071.

Båth, Båth, and Jakob Köhler. "Innovation Management in Business-to-Business Software as a Service Startups: Investigating the Lean Startup Methodology and its Shortcomings around Selecting Ideas." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223889.

Choudhry, Waseem Uddin. "To enhance service performance by using Feedback and Compalint Management operation by involving customers : A case study of container terminal and its customers." Thesis, Karlstads universitet, Avdelningen för företagsekonomi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-14628.

Samarasekera, Dharmabandhu Nandadeva. "The establishment of an anorectal physiology service and its impact on the management of women with pelvic floor dysfunction and obstetric anal sphincter injury." Thesis, University of East Anglia, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430600.

Mokhine, Ntime Samson. "South African police service deploys its first peacekeepers to Darfur, Sudan : a descriptive study on the deployment preparations and the role of the South African police peacekeepers in African union mission in Sudan (AMIS)." Thesis, Nelson Mandela Metropolitan University, 2008. http://hdl.handle.net/10948/1027.

Yilmaz, Okan. "A Class of Call Admission Control Algorithms for Resource Management and Reward Optimization for Servicing Multiple QoS Classes in Wireless Networks and Its Applications." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/29732.

Main Content

Topic list for final theses.

On this page you will find suggested topics by the Research Group of Technology and Innovation Management for bachelor and master theses, subdivided into topic areas. If you want to write your thesis on a topic of your own choice or in a subject area not listed below, you are welcome to send us an unsolicited application (including an exposé on the proposed topic). The content of the application can be based on the topics covered in a lecture and the current research projects of the research group.

A. Strategic Management of Technology and Innovation

Inhalt ausklappen inhalt einklappen a3: corporate venture modes: a literature review of existing corporate venture typologies and their efficiency with regard to knowledge transfer, inhalt ausklappen inhalt einklappen a4: corporate venturing activities as a source of external knowledge: analysis of start-up/corporate relationship and knowledge transfer mechanisms, inhalt ausklappen inhalt einklappen a5: corporate venture program design: analyzing the rationale of corporate venture design across different industries, inhalt ausklappen inhalt einklappen a6: national culture and radical innovation: a cross-cultural comparison of organizational behavior.

Bachelor/Master (prefered)

B. Management and Economics of Intellectual Property

Inhalt ausklappen inhalt einklappen b2: "brand and patenting strategies of firms: are trademarks and patents substitute or complementary instruments to protect intellectual property an empirical investigation of thebrand and patent portfolios of firms in high-tech industries".

Literature recommendations: 

Esch, F.-R. (2018): Strategie und Technik der Markenführung, 9. Vollständig überarbeitete und erweiterte Auflage, Verlag Franz Vahlen, München.

Grazzi, M./Piccardo, C./Vergari, C. (2020): Concordance and complementarity in IP instruments, in: Industry and Innovation, Vol. 27, No. 7, pp. 756-788, DOI: 10.1080/13662716.2020.1726728.

Llerena, P./Millot, V. (2020): Are two better than one? Modelling the complementarity between patents and trademarks across industries, in: Industry and Innovation, Vol 27, No. 1-2, pp. 52-79, DOI: 10.1080/13662716.2019.1688137.

Thoma, G. (2020): The valuation of patent-trademark pairing as IP strategy: evidence from the USPTO, in: Industry and Innovation, Vol. 27, No. 1-2, pp. 80-104, DOI: 10.1080/13662716.2019.1633281.

Inhalt ausklappen Inhalt einklappen B3: A Patent Landscape Analysis in the Field of Agricultural Biotechnology

Bachelor/Master

Literature recommendations:

Burr, W./Stephan, M. et al. (2007): Patentmanagement, Schaeffer-Poeschel Verlag, Stuttgart 2008.

Trippe, A. (2015): Guidelines for Preparing Patent Landscape Reports, WIPO Publication No. 946E. Geneva, World Intellectual Property Office.

Inhalt ausklappen Inhalt einklappen B5: A Case Study on Patents on Beer: A Multi-Stakeholder Perspective

Burr, W./Stephan, M. et al. (2007): Patentmanagement, Schaeffer-Poeschel Verlag, Stuttgart.

Stephan, M./Dietrich, A. (2020): IP Protection in Biotech, Chapter 8, IPM-Lecture WS 2019/20.

C. Innovation Culture and Entrepreneurship

Inhalt ausklappen inhalt einklappen c2: the micro-geography of corporate accelerator programs: facilitating explorative learning.

Literature recommendations: On request 

Inhalt ausklappen Inhalt einklappen C3: Sports and the Entrepreneurial Cognition: An experimental approach on the influence of sport on the entrepreneurail process

Inhalt ausklappen inhalt einklappen.

Master Literature recommendations: On request

D. Service and Business Model Innovation

No topics offered at the moment 

E. Industry and Company Specific Studies on Innovation Management

Inhalt ausklappen inhalt einklappen e1: organizing for open innovation.

Bachelor/ Master

a) A Comparative Analysis of the Telefonica and Telekom Case Studies b) A Comparative Analysis of the Bayer and Merck Case Studies

Literature recommendations: On request

Inhalt ausklappen Inhalt einklappen E2: Examining the Link between Market Structure and Innovation: An Analysis Based on the Corporate Landscape in the Seed Industry

Master/ Bachelor

Literature recommendation:

OECD (2018): Concentration in Seed Markets: Potential Effects and Policy Responses, OECD Publishing, Paris.

Final theses already completed

• Contact/Imprint

Humboldt-Universität zu Berlin - Faculty of Mathematics and Natural Sciences - Process Management and Information Systems

Bachelor and master thesis.

General Information

Our team offers bachelor and master thesis topics as well as student projects to be written in English.

There are two application windows in a year in which new topics are available. The first window is open from February 1st until April 1st. The second window is open from July 1st until October 1st. During these windows students can express their interest in a topic by sending an email Dr. Saimir Bala (firstname[dot]lastname[at]hu-berlin.de).

There are biannually  info sessions  where we explain the process of writing a thesis with our team. The next info session is scheduled for Februray 21 st , 2024 [zoom link we be available soon].

The last info session took place on September 28th, 2023. Here you can find the slides ( part I ,  part II ) and recordings ( part I ,  part II ) of previous info sessions . 

Furthermore, find below a summary of guidelines for working on your thesis with us.

Process Overview

• There are two main time windows in which the team proposes new topics: Feb 1st ­– Apr 1st and Jul 1st – Oct 1st
• Within these windows students can apply for an open topic (see list of open topics below)
• Application is done by sending an email to Dr. Saimir Bala (firstname[dot]lastname[at]hu-berlin.de).
• We collect your applications and make a topic-student assignment in two rounds. First round on March, second round after the deadline.
• Once a student has been matched to a supervisor, a meeting is scheduled to scope the topic.
• Then, students must submit a research proposal to the supervisor within a month.
• If the proposal is graded as passed, the supervision is officially registered
• Once the thesis work is concluded, the thesis defense is scheduled within a dedicated defense slot.

Important Dates

09.02.2024: New topics released. Students can express their interest.

21.02.2024: Info session at 12:00 [Zoom link here ]

01.03.2024: Topic assignment (1st round)

01.04.2024: Expression of interest deadline

08.04.2024: Topic assignment (2nd round)

08.05.2024: Research proposal submission

15.05.2024: Official start (if proposal sufficient)

Please consider the following hints and guidelines for working on your thesis:

• Templates for thesis and proposal: https://www.informatik.hu-berlin.de/de/studium/formulare/vorlagen
• Page limits are as follows
• page limit is for Bachelor Informatik 40 pages and for Kombibachelor Lehramt Informatik 30 pages
• page limit is for Master Informatik 80 pages and for Master Information Systems 60 pages
• The limits do not include cover, table of content, references, and appendices.

Prerequisites

The candidate is expected to be familiar with the general rules of writing a scientific paper. Some general references are helpful for framing any thesis, no matter which topic:

• Wil van der Aalst:  How to Write Beautiful Process and Data Science Papers?  Archive Report (2022).
• Jan Recker:  Scientific Research in Information Systems: A Beginner's Guide  . Springer, Heidelberg, Germany (2021).
• Jan Mendling, Benoit Depaire, Henrik Leopold: Methodology of Algorithm Engineering . Archive Report (2023).
• Claes Wohlin, Pär Runeson, Martin Höst, Magnus Ohlsson, Björn Regnell, Anders Wesslén  Experimentation in software engineering  . Springer Science & Business Media (2012).
• Ken Peffers, Tuure Tuunanen, Marcus A. Rothenberger, Samir Chatterjee:  A Design Science Research Methodology for Information Systems Research  . J of Management Information Systems 24(3): 45-77 (2008).
• Barbara Kitchenham, Rialette Pretorius, David Budgen, Pearl Brereton, Mark Turner, Mahmood Niazi, Stephen G. Linkman:  Systematic literature reviews in software engineering - A tertiary study  . Information & Software Technology 52(8): 792-805 (2010).
• Lagendijk, Ad.  Survival Guide for Scientists: Writing, Presentation, Email  . Amsterdam University Press (2008).
• Adam LeBrocq: Journal of the Association for Information Systems Style Guide.  https://aisel.aisnet.org/cais/cais_style_guide.pdf

In agreement with the supervisor an individual list of expected readings should be studied by the student in preparation of the actual work on the thesis.

The grading of the thesis takes various criteria into account, relating both to the thesis as a product and the process of establishing its content. These include, but are not limited to:

• Correctness of spelling and grammar
• Aesthetic appeal of documents and figures
• Compliance with formal rules
• Appropriateness of thesis structure
• Coverage of relevant literature
• Appropriateness of research question and method
• Diligence of own research work
• Significance of research results
• Punctuality of work progress
• Proactiveness of handling research progress

Recent Topics

If you are interested in one of the following topics, please send an email expressing your interest to Dr. Saimir Bala (firstname[dot]lastname[at]hu-berlin.de).  Please explain  why this topic is interesting for you and how it fits your prior studies. Also explain what are your strengths in your studies and in which semester of your studies you are.

Topic 1: Actionable Recommendation for Learner in Learning Management System based on Process Mining (Bachelor/Master) 

This study explores the advantages of process mining in learning management systems to provide actionable recommendations to learners. By leveraging data-driven insights, it aims to enhance the learning experience by offering personalized guidance and suggestions to learners, ultimately improving their educational outcomes. This research delves into the potential benefits of process mining in the educational context, highlighting its capacity to empower learners on their educational journeys.

Initial References :

• Wambsganss, Thiemo; Schmitt, Anuschka; Mahnig, Thomas; Ott, Anja; Soellner, Sigitai; Ngo, Ngoc Anh; and Geyer-Klingeberg, Jerome, "The Potential of Technology-Mediated Learning Processes: A Taxonomy and Research Agenda for Educational Process Mining" (2021). ICIS 2021 Proceedings. 1. https://aisel.aisnet.org/icis2021/diglearn_curricula/diglearn_curricula/1
• AlQaheri, H.; Panda, M. An Education Process Mining Framework: Unveiling Meaningful Information for Understanding Students’ Learning Behavior and Improving Teaching Quality. Information 2022, 13, 29. https://doi.org/10.3390/info13010029
• Bala, S., Revoredo, K., Mendling, J. (2023). Process Mining for Analyzing Open Questions Computer-Aided Examinations. In: Montali, M., Senderovich, A., Weidlich, M. (eds) Process Mining Workshops. ICPM 2022. Lecture Notes in Business Information Processing, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-27815-0_41

Supervisor: Rachmadita Andre Swari

Topic 2: Process discovery based on undesirable traces (Bachelor/Master)

Background : Process discovery techniques have been used to automatically learn a process model using observed traces (i.e., event logs). The traces are assumed correct and the final process model is expected to explain all the traces (i.e., desirable fitness of 1). However, the final model may also explain behaviors that are known by the specialist to be undesirable.

Research problem : The core research problem addressed is: How to learn a process model considering undesirable traces?

The aim is to propose a method to process discovery that learns using desirable and undesirable trace data.

Requirements : The candidate must have previous knowledge of process mining and software development. Further desirable requirements are pro-activity and self-organization. Initial Reference

• Revoredo, K.: On the use of domain knowledge for process model repair. Softw. Syst. Model. (2022)

Supervisor: Kate Cerqueira Revoredo

Topic 3: Context-aware process monitoring  (Bachelor/Master)

Background : Business process monitoring is one of the phases of the BPM cycle concerned with extracting insights from the execution of a process. The digitization of the processes of an organisation has made available a vast amount of trace data about the execution of these processes, which allows for the use of data-driven process monitoring techniques. Given that, in many situations, it is not enough to just directly use the activities information present in the trace data of the process to achieve an accurate output, recent approaches have considered other sources of information combined with activities information, such as sensors data, or domain knowledge. However,, in most situations, additional data is used in a non-systematic way.

Research problem : The core research problem addressed is: How can contextual data be used for process monitoring? The aim is to propose a method to process monitoring using contextual data.

Requirements : The candidate must have previous knowledge of process mining and software development. Further desirable requirements are pro-activity and self-organization. Initial References:

• da Cunha Mattos, T., Santoro, F.M., Revoredo, K., Nunes, V.T.: A formal representation for context-aware business processes. Computers in Industry 65(8) (2014) 1193–1214
• Chamorro, A.E.M., Revoredo, K., Resinas, M., del-R ́ıo-Ortega, A., Santoro, F.M., Ruiz-Cort ́es, A.: Context-aware process performance indicator prediction. IEEE Access 8 (2020) 222050–222063
• Bayomie, D., Revoredo, K., Mendling, J.: Multi-perspective process analysis: Mining the association between control flow and data objects. In: CAiSE. Volume 13295 of Lecture Notes in Computer Science., Springer (2022) 72–89

Topics 4: Uses of Models in Agile Software Development (Bachelor/Master)

Motivation & problem : Modeling is a key topic in software engineering. In software development projects, among other aspects, modeling supports the developer in understanding the design by providing an overview and a tool for communication with fellow developers and other stakeholders. The benefits of models for supporting system analysis and design activities have been highlighted regarding their cognitive effectiveness, often in the context of traditional methodologies. However, these benefits have also been discussed in the agile scene, but it is still not clear to what extent models are used in agile software development projects.

Objectives : conduct a systematic review of the literature, identify the uses of models in agile software development, categorize and prioritize them, and propose a framework to support agile software development based on these findings. The findings shall be evaluated according to the perspective of practitioners.

Prerequisites : (1) Basic knowledge of agile software development methodologies; (2) Intermediate knowledge of models used in software development; (3) Pro-activity, self-organization, attention to detail (desirable).

Initial References:

• Ambler, Scott W. The object primer: Agile model-driven development with UML 2.0. Cambridge University Press, 2004.
• Alfraihi, Hessa Abdulrahman A., and Kevin Charles Lano. "The integration of agile development and model driven development: A systematic literature review." The 5th International Confrence on Model-Driven Engineeing and Software Development (2017).
• Wagner, Stefan, Daniel Méndez Fernández, Michael Felderer, Antonio Vetrò, Marcos Kalinowski, Roel Wieringa, Dietmar Pfahl et al. "Status quo in requirements engineering: A theory and a global family of surveys." ACM Transactions on Software Engineering and Methodology (TOSEM) 28, no. 2 (2019): 1-48.
• Petre, Marian. "UML in practice." In 2013 35th international conference on software engineering (icse), pp. 722-731. IEEE, 2013.

Supervisor: Cielo González Moyano

Topic 5: Artificial Intelligence in Project Management for Software Development Projects (Master)

Motivation & problem : Artificial intelligence is applied in software engineering management for taking decisions, estimating, managing technical debt, and planning, just to provide some examples. These applications have been widely studied by researchers. However, there is no study that presents a deep overview of how artificial intelligence is used for management activities in software development projects. Given the rising interest in artificial intelligence and the need of optimizing management in software projects, having a holistic overview can potentially be beneficial for practitioners and researchers.

Objectives : conduct a systematic review of the literature to identify the status quo on the topic. The findings shall be evaluated from the perspective of practitioners. The results shall be used to provide a framework that supports project managers of software development projects.

Prerequisites : (1) Basic knowledge of project management for software development projects; (2) Intermediate knowledge of artificial intelligence; (3) Pro-activity, self-organization, attention to detail (desirable).

Initial references:

• Perkusich, Mirko, et al. "Intelligent software engineering in the context of agile software development: A systematic literature review." Information and Software Technology 119 (2020): 106241.
• Kotti, Z., Galanopoulou, R., & Spinellis, D. (2023). Machine learning for software engineering: A tertiary study. ACM Computing Surveys, 55(12), 1-39.
• Fridgeirsson, Thordur Vikingur, et al. "An authoritative study on the near future effect of artificial intelligence on project management knowledge areas." Sustainability 13.4 (2021): 2345.

Topic 6: Literature Review on Business Intelligence and Human Factors (Bachelor or Master in Information Systems)

Motivation & problem : New types of analytical tools fundamentally change the way how process analysts do their work, with the expectation to drastically impact various professional services including auditing or business process management. Recent years have seen an increasing uptake of process mining tools by corporations and by professional services companies, where they are used to support the analysis of business processes. Recent research on the organisational impact of process mining highlights benefits for process awareness and overall value creation, but potential negative effects are hardly understood.

Primary objective : Review the literature on business intelligence and big data analytics and investigate where negative effects as discussed by Sutton et al (2023) and Parasuraman et al (2000) are discussed.

Prerequisites : (1) Basic knowledge of process mining; (2) Basic knowledge of business process management; (3) Interest in human-computer interaction and engineering psychology.

• Sutton, S. G., Arnold, V., & Holt, M. (2023). An extension of the theory of technology dominance: Capturing the underlying causal complexity. International Journal of Accounting Information Systems, 50, 100626.
• Grover, V., Chiang, R. H., Liang, T. P., & Zhang, D. (2018). Creating strategic business value from big data analytics: A research framework. Journal of management information systems, 35(2), 388-423.
• Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000). A model for types and levels of human interaction with automation. IEEE Transactions on systems, man, and cybernetics-Part A: Systems and Humans, 30(3), 286-297.
• Zimmermann, L., Zebra, F., & Weber, B. (2023). What makes life for process mining analysts difficult? A reflection of challenges. Software and Systems Modeling, 1-29.

Supervisor: Jan Mendling

Topic 7: Visualizing Cyclic Time Arrangements in Process Graphs (Bachelor/Master)

Time is essential to understanding processes, yet most process mining approaches are limited to depicting time within a process graph as textual cues or color schemes. Adapting the visual appearance of process graphs to various time arrangements may enhance the accessibility for finding bottlenecks or delays. An example is aligning process graphs along a linear timeline [1]. In cases where processes involve repetitive patterns, such as in chronic health care or crop management, a cyclic arrangement may be useful. However, for the latter, an adequate solution in process mining is needed.

This thesis aims to develop and exemplify a design method for a visual solution in process mining that allows for exploring a cyclic time arrangement in a process graph. We will adapt the research objectives to align with the experience and study goals of the student.

• H. Kaur, J. Mendling, C. Rubensson, and T. Kampik, “Timeline-based Process Discovery,” CoRR, abs/2401.04114, 2024. Available: https://doi.org/10.48550/arXiv.2401.04114
• A. Yeshchenko and J. Mendling, “A Survey of Approaches for Event Sequence Analysis and Visualization using the ESeVis Framework.,” CoRR, abs/2202.07941, 2022. Available: https://arxiv.org/abs/2202.07941
• W. Aigner, S. Miksch, H. Schumann, and C. Tominski, Visualization of Time-Oriented Data. in Human-Computer Interaction Series. London: Springer London, 2011. Available: https://doi.org/10.1007/978-0-85729-079-3.

Supervisor: Christoffer Rubensson

Topic 8: Advanced Resource Analysis in Process Mining (Bachelor/Master)

In the last decade, process mining techniques have been developed to study human behavior in event data, such as the strength of collaboration between co-workers or even stress levels at a workplace. Since measuring human behavior is complex, this is a welcoming alternative to more labor-intensive methods like surveys. Still, most techniques are relatively simple but could be improved by applying theoretical frameworks from social science.

This thesis aims to develop a resource analysis approach (e.g., a metric, a concept, or a framework) in process mining grounded in an existing theory from social science. We will adapt the research objectives to align with the experience and study goals of the student.

• J. Nakatumba and W. M. P. van der Aalst, “Analyzing Resource Behavior Using Process Mining,” in Business Process Management Workshops. BPM 2009. Lecture Notes in Business Information Processing, S. Rinderle-Ma, S. Sadiq, and F. Leymann, Eds., Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. Available: https://doi.org/10.1007/978-3-642-12186-9_8.
• A. Pika, M. Leyer, M. T. Wynn, C. J. Fidge, A. H. M. Ter Hofstede, and W. M. P. Van der Aalst, “Mining Resource Profiles from Event Logs,” in ACM Transactions on Management Information Systems, vol. 8, no. 1, 1:1-30, 2017. Available: https://doi.org/10.1145/3041218.
• Z. Huang, X. Lu, and H. Duan, “Resource behavior measure and application in business process management,” in Expert Systems with Applications, vol. 39, no. 7, 6458–6468, 2012. Available: https://doi.org/10.1016/j.eswa.2011.12.061.

Topic 9: Anthropomorphic Perceptions of Large Language Models: what is the gender of ChatGPT and its Counterparts? (Bachelor/Master)

Description : In today's digital era, Large Language Models (LLMs) like ChatGPT are transforming the way we interact with technology, often blurring the boundaries between machine and human cognition. This thesis delves into the intriguing realm of anthropomorphism, the human tendency to attribute human-like qualities to non-human entities. Specifically, this research aims to uncover laypeople's underlying beliefs and implicit conceptions about ChatGPT and similar models concerning an implicit gender attribution. By designing and conducting a survey, the thesis will gain insights into individuals' perception of these cutting-edge technologies. The findings can potentially illuminate not only our relationship with LLMs but also the broader implications of human-machine interactions in an increasingly AI-driven world.

• Deshpande, A., Rajpurohit, T., Narasimhan, K., & Kalyan, A. (2023). Anthropomorphization of AI: Opportunities and Risks (arXiv:2305.14784). arXiv. https://doi.org/10.48550/arXiv.2305.14784
• Farina, M., & Lavazza, A. (2023). ChatGPT in society: Emerging issues. Frontiers in Artificial Intelligence, 6. https://www.frontiersin.org/articles/10.3389/frai.2023.1130913
• Aşkın, G., Saltık, İ., Boz, T. E., & Urgen, B. A. (2023). Gendered Actions with a Genderless Robot: Gender Attribution to Humanoid Robots in Action. International Journal of Social Robotics, 15(11), 1915–1931. https://doi.org/10.1007/s12369-022-00964-0

Supervisor: Jennifer Haase

Topic 10: Process prediction using object-centric event log (Bachelor/Master)

Business process prediction involves forecasting specific details, such as the next activity to be performed, the time remaining for the completion of a process instance, or key process indicators, for an ongoing process instance. Currently, the techniques rely on XES event logs as input data. However, the field of process mining is shifting towards utilizing object-centric event logs, which offer a comprehensive multidimensional view of the data. Despite this advancement, object-centric event logs have been underutilized as input for process prediction.

Research problem:  The core research problem addressed is: How can process prediction benefit from an object-centric event log? The aim is to propose a method to process prediction using object-centric event log.

Requirements:  The candidate must have previous knowledge of process mining and software development. Further desirable requirements are pro-activity and self-organization.

Initial references

• An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs. ACM Trans. Intell. Syst. Technol. 11(6): 68:1-68:34 (2020)
• Uncovering Object-Centric Data in Classical Event Logs for the Automated Transformation from XES to OCEL. BPM 2022: 379-396
• Benedikt Knopp, Wil M. P. van der Aalst:Order Management Object-centric Event Log in OCEL 2.0 Standard. Zenodo, 2023

Supervisor: Kate Revoredo

Topic 11: Causation discovery for process prediction (Bachelor/Master)

Business process prediction involves forecasting specific details, such as the next activity to be performed, the time remaining for the completion of a process instance, or key process indicators, for an ongoing process instance. Currently, most techniques rely on the order in which the events happened without considering the cause-effect relation among them.

Research problem : The core research problem addressed is: How can process prediction benefit from the cause-effect relation among the events? The aim is to propose a method to discover the cause relation among events and use this information for process prediction.

Requirements:  The candidate must have previous knowledge of process mining, statistics, and software development. Further desirable requirements are pro-activity and self-organization.

•  An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs. ACM Trans. Intell. Syst. Technol. 11(6): 68:1-68:34 (2020)
• Jens Brunk, Matthias Stierle, Leon Papke, Kate Revoredo, Martin Matzner, Jörg Becker: Cause vs. effect in context-sensitive prediction of business process instances. Inf. Syst. 95: 101635 (2021)
• Pearl,J.(2011).Bayesiannetworks.

Topic 12: Literature review on quality characteristics in dashboards, business intelligence systems, balanced scorecards, and other reporting solutions: a study of visualization methods (Bachelor)

This bachelor thesis aims to conduct a comprehensive literature review on quality characteristics in dashboards, business intelligence systems, balanced scorecards, and other reporting solutions. The focus will be on comparing various visualization methods employed in these systems. The study intends to provide insights into the key features that contribute to the effectiveness and user satisfaction of visual reporting tools, helping to guide the selection and implementation of suitable solutions in diverse organizational contexts. Initial references :

• Burstein, F., & Holsapple, C. W. (2008). Handbook on Decision Support Systems 2. https://www.academia.edu/83497312/Handbook_on_Decision_Support_Systems_2
• Trieu, V.-H. (2023). Towards an understanding of actual business intelligence technology use: An individual user perspective. Information Technology & People, 36(1), 409–432.
• Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS Quarterly, xiii–xxiii.

Supervisor: Kristina Schneider

Topic 13: Analysis of theoretical explanations and scientific theories on transitioning from dashboards to decision making in organizational contexts (Bachelor)

This bachelor thesis seeks to analyze theoretical explanations and scientific theories concerning the transition from dashboards to decision-making processes. Dashboards are widely used tools in organizational contexts for decision-making. The study aims to examine the levels of management where dashboards are employed and how they contribute to the decision-making process within organizations. Initial references :

• Maynard, S., Burstein, F., & Arnott, D. (2001). A multi-faceted decision support system evaluation approach. Journal of Decision Systems, 10(3–4), 395–428.
• Mintzberg, H., Raisinghani, D., & Theoret, A. (1976). The Structure of “Unstructured” Decision Processes. Administrative Science Quarterly, 21(2), 246. https://doi.org/10.2307/2392045

Topic 14: Enhancing Student Engagement in Online Learning Environments through Process Mining (Bachelor/Master)

This study investigates how process mining techniques can be leveraged to enhance student engagement within online learning environments. It explores the utilization of data-driven insights to optimize learning pathways, identify patterns of student interaction, and design personalized interventions to foster greater engagement and participation in digital educational platforms.

• Rohani, N., Gal, K., Gallagher, M., Manataki, A. (2023). Discovering Students’ Learning Strategies in a Visual Programming MOOC Through Process Mining Techniques. In: Montali, M., Senderovich, A., Weidlich, M. (eds) Process Mining Workshops. ICPM 2022. Lecture Notes in Business Information Processing, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-27815-0_39
• Umer, R., Susnjak, T., Mathrani, A. and Suriadi, S. (2017), "On predicting academic performance with process mining in learning analytics", Journal of Research in Innovative Teaching & Learning, Vol. 10 No. 2, pp. 160-176. https://doi.org/10.1108/JRIT-09-2017-0022
• Nkomo, L.M., Nat, M. Student Engagement Patterns in a Blended Learning Environment: an Educational Data Mining Approach. TechTrends 65, 808–817 (2021). https://doi.org/10.1007/s11528-021-00638-0

Topic 15: Runtime Prediction of Alignment Construction Algorithms (Bachelor/Master)

Conformance Checking relates a process model to recorded instances of the execution of the process, typically stored in event logs, to determine where expected and actual behaviour deviate from each other. In this context alignment algorithms are regarded as the de facto standard method, due to their interpretability and accuracy in highlighting precise problem areas in the process. Yet, typically run times for alignment construction are prohibitively large, typically caused by a handful of traces in the log, for which the construction of an alignment is especially complex. One possible solution to this problem could lie in predicting the expected runtime of aligning single traces in the log, for instance using regression-based methods and then ignoring traces, that are expected to take long.

In this thesis, the student will:

• derive a methodology for predicting the runtime of alignment construction between event logs and process models
• evaluate the accuracy of the predictor
• assess the factors that influence the runtime of alignments

The student is expected to have knowledge of process mining, conformance checking, and basic knowledge of regression analysis, or willingness to dive deep into these topics.

• Carmona, J., van Dongen, B., Solti, A., & Weidlich, M. (2018). Conformance checking. Switzerland: Springer.
• Backhaus, K., Erichson, B., Weiber, R., Plinke, W. (2016). Regressionsanalyse. In: Multivariate Analysemethoden. Springer Gabler, Berlin, Heidelberg.

Supervisor: Martin Kabierski

Topic 16: Biodiversity-based Saturation for Grounded Theory (Master)

Grounded theory is a research methodology usually applied in qualitative analysis. It involves the collection of data (usually through interviews, surveys, ...), and the deduction of concepts, categories, and ultimately theories that emerge from the collected data. A central question to this iterative data collection-evaluation process is when to stop collecting data. Usually one stops when the categories are saturated, i.e. when no new insights are obtained. Determining when exactly this point has been reached is a topic of discussion and research. Species richness estimators, that estimate the completeness of samples, could be utilized to give saturation estimates that are data-driven and grounded in statistics.

• assess the applicability of species richness estimation for determining saturation in grounded theory
• implement and apply the estimator to qualitative interview data
• evaluate the feasibility of the approach and discuss potential limitations

The student is expected to have a solid understanding of statistics and ideally preliminary experience in the analysis of qualitative data. Note, that the student is not expected to collect data for the thesis. These will be provided by us.

• Strauss, A., & Corbin, J. (1994). Grounded theory methodology: An overview. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of qualitative research (pp. 273–285). Sage Publications, Inc.
• Saunders, Benjamin, et al. (2018). Saturation in qualitative research: exploring its conceptualization and operationalization. In: Qual Quant 52 (pp. 1893-1907). Springer
• Colwell, Robert K., et al. "Models and estimators linking individual-based and sample-based rarefaction, extrapolation and comparison of assemblages." _Journal of plant ecology_ 5.1 (2012): 3-21

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Master Thesis Topics

On this page you can find a list of possible research topics for a master thesis. This list is not exhaustive, but can be supplemented with your own topic suggestions or extensions to our proposed topics. For an insight into the expertise and research interests of our team members, also take a look at the personal pages in the "Team" section of our website and feel free to directly get in touch with the person that best fits your suggested topic or interests.

Available projects

Can data integration improve consumer demand planning in the photovoltaic industry.

Forecasting customer demand is a critical business process in most industries. Forecasting solutions in business practice often focus on manual forecasting (“expert forecasts”) or timeseries forecasting. However, these approaches neglect the explanatory power of important external factors for customer demand and may thus lead to poor forecast accuracy in the volatile business environment of the PV industry.

The goal of this work is to assess whether integrating internal and auxiliary data (e.g., historical data, seasonalities, expert forecasts, time series forecasts, customer demand signals, market data, price developments, Google trends, …) can be leveraged to build a feature-driven demand forecasting model and to improve the demand forecast accuracy at BayWa r.e. Solar Energy Systems.

This thesis requires solid knowledge of and experience with R / Python as well as experience with Machine Learning.

Supervisior: Prof. Dr. Dominik Papies with Dr. David Scheuermann (BayWa r.e. Solar Energy Systems)

Can ChatGPT read and interpret the Terms of Service of other platforms and services

Many platforms and services provide Terms of Service and Privacy Policy and that are many pages long and that would take hours and hours to read and understand. This leads to the undesirable situation that many users accept these policies and terms without reading them.

The goal of this work is to assess whether we can leverage large language models (LLMs like ChatGPT) to understand, interpret, and summarize these terms and conditions for us.

This thesis requires knowledge of and experience with R / python as well as experience with Machine Learning

Supervisor: Prof. Dr. Dominik Papies

The problem of zero in log-log regressions

The workhorse model in applied econometrics, economics, marketing, and other disciplines is a regression model that involves taking the log of one or more variables. This, however, is difficult if one or more values of the relevant variables involve zeros because the natural logarithm of zero is infinity. It is not obvious whether adding a (small) positive constant to zero is a generally valid solution.

The goal of this work is to assess different approaches (e.g., Poisson regression) of how to deal with this problem on simulated and real data sets and to provide guidance and best practice recommendations to applied researchers.

This thesis requires knowledge of and experience with R / python as well as good econometric knowledge.

Competition in the German gasoline market

The German gasoline market differs from other gasoline markets because it is characterized by a very high frequency of price changes, i.e., a typical gas station changes its prices multiple times a day. The question that arises is to what extent these price changes are predictable and whether dynamic cycles of price increases or decreases are always initiated by the same stations or brands, or whether these patterns are entirely unpredictable.

To address these questions, the thesis will analyze a large data set that contains all price changes of all stations in the German gasoline market over several years. 

This thesis requires knowledge of R and reasonable econometric knowledge.

Supervisor: Jun.-Prof. Dr. Wiebke Keller

New (machine learning) methods for causal inference  

• In recent years, a multitude of new methods for causal inference from observational data have been developed by researchers from very different fields (econometrics, machine learning, computer science, epidemiology, ...). Examples include, among others, double machine learning, causal forests, deep instrumental variables, front-door adjustment, causal discovery, and targeted maximum likelihood. In many cases, these methods have laid the theoretical groundwork, but have not yet been applied widely to typical questions from business or economics.   
• The goal of this thesis is to select from these methods and a) compare multiple methods from different disciplines that have the same goal, and/or b) assess the applicability of one of the new methods to typical research questions and datasets from business and economics, and/or c) explore how results from influential studies in business and economics (using traditional methods) would change, when one of the new methods is applied.  
• This thesis is suitable for students who have experience with empirical work, good programming skills in R or Python, and reasonable econometric knowledge.  
• Supervisor: Prof. Dr. Dominik Papies with Jonathan Fuhr, M.Sc.

Finished Projects

• The impact of humanlike cues in chatbots on user-related outcomes: a meta-analysis
• Emotional Cues and Music Streaming
• How useful are Machine Learning techniques for marketing problems?
• Job market requirements for business students
• Package size supply and socio-economic status
• Analyzing firm-generated CSR reports
• Specification curve
• PSD2 - Marketing Implications of a European Union Directive for Financial Markets
• Extracting tax evasion sentiment from online social networks
• Modellierung dynamischer Effekte
• Effects of External Reference Prices (Empirical Work)
• Die Auswirkungen des Abgasskandals (Empirische Arbeit)
• Shuttle zum Flughafen Stuttgart - Eine Analyse des Marktpotentials (Empirische Arbeit)
• Customer Experience in der Informationsarbeit der Universitätsbibliothek Tübingen (Empirische Arbeit); German required
• How to predict new movie success (Empirical Work); thesis in English is possible
• Hat der Katalog als Bestellgrundlage ausgedient? (Empirische Arbeit); German required
• Modellierung von Google Trends Daten in Absatzmodellen
• Empirische Generalisierung der Determinanten von Kreuzpreiselastizitäten – Ein bayesianischer Ansatz
• Empirische Analyse von Kreuzpreiseffekten
• Kundenzufriedenheitsanalyse eines B2B-Anbieters
• Ahnungslos, heuristisch, oder doch irgendwie rational? Konsumentenentscheidungen für Finanzmarktprodukte
• Was machen Kunden, wenn die Konkurrenz die Preise erhöht? Eine Meta-Analyse
• Paywalls bei deutschen Tageszeitungen
• Mediation in Experimentalstudien
• Youtube – Friend or Foe?

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Technology and Innovation Management

Theses at the TIM department

The Chair of Technology and Innovation Management announces theses (Bachelor-/Master Theses) regularly. If you are interested in writing a theses on one of the topics announced, please submit your application. Principally, you can also suggest your own topic.

Application

Your application should include a current transcript of records and CV. If applicable, please also explain your motivation for choosing a certain topic or state your topics of interest. In the next step, we will meet to discuss details.

Theses in cooperation with practice partners

The Department of Technology and Innovation Management offers the possibility to write theses in cooperation with the international consulting firm Campana & Schott and other practitioner partners. For further information on external theses, please contact Christian Tschiedel by e-mail. Please attach your CV, transcript of records and (if available) proposed topic.

Current theses

Thank you for your interest in writing a thesis at the Department of Technology and Innovation Management. In addition to the topics for theses advertised here (Bachelor's & Master's theses), you are welcome to contact one of our research assistants with your own topic suggestions. Please send us your CV and transcript of records, as well as your areas of interest and/or suggested topics.

Data2Value: Success factors in cultural change for data-based decision-making on the store floor at the Döhler Group

Master thesis

Mit Praxispartner ETA-Solutions: Hemmnis- und Erfolgsfaktorenanalyse der externen Abwärmenutzung in der Industrie

Bachelor thesis, Master thesis, Studienarbeit, Master thesis (15 CP), Master thesis (30 CP)

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Jadena Bechtel , M.Sc.

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Tim Feiter , M.Sc.

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Dr. Carsten Kaufmann

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Dr. Christian Resch

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Master Thesis

You are very welcome to write your master thesis with us. We always have a collection of open topics available but also encourage students to propose own topics, as long as these relate to our research interests. Please see the details below if you want to apply.

Requirements:

We are looking for students who have a particular interest in Operations & Supply Chain Management (OSCM) and participated in several lectures and seminars within this field. You should possess fundamental mathematical and technical knowledge as well as the modeling and programming skills required to tackle advanced topics in OSCM.

Application:

If you are interested in doing your Master’s Thesis with us, please send an e-mail to [email protected]  with the following information:

• Curriculum Vitae (incl. finished projects, programming skills/references)
• Transcript of records (Bachelor and Master)
• Own topic: write a short topic description including a motivation, a description of the research gap, and a possible solution approach.
• General interest: write a motivation letter that outlines your interests and a favored research field.
• List of relevant courses attended
• Preferred time frame (earliest possible start 4 weeks after application)

Due to a high workload of ongoing theses, we prioritize applications of students who successfully participated in a course or seminar offered by our chair.

Theses can only be registered on the 1 st of a month and the students need to send their documents for application at least one month in advance.

Guidelines:

Guidelines for how to write a thesis are part of our LaTeX template. We would advise you to use LaTeX for your writings for which we can provide the most support.

We ask you to meet with your supervisor on a regular basis to provide updates on your progress and ensure you receive valuable feedback. Your thesis will be graded according to the following criteria:

• Overall structure of your work
• Motivation of the research question and discussion of the current literature
• Selection and application of scientific methods
• Discussion of your results and conclusions
• Code quality and documentation

Registration at TUM School of Management:

Once you finalized the topic with your supervisor, you will be officially registered through the TUM-SoM Portal. You will receive an email to confirm the registration - please make sure to do so as soon as possible.

Open Topics

• n.A.: Resolution of charge-scheduling conflicts in the strategic planning of autonomous electric bus fleets. Masterarbeit, 2023 mehr… Volltext (mediaTUM)
• n.A.: Staggered Routing In Autonomous Mobility-on-Demand. Masterarbeit, 2023 mehr… Volltext (mediaTUM)
• n.A.: Day-Ahead Planning for A Hybrid Two-Echelon City Logistics System with Swap Body Micro-hubs. Masterarbeit, 2023 mehr… Volltext (mediaTUM)

Completed Theses

• Huang, Yi-Hsi Lawrence: A Comparative Study of Open Set Classification Approaches For Analyzing Customer Order Behavior in the Semiconductor Industry. Masterarbeit, 2023 mehr…
• Meng-Hsuan Lin: A Comparative Study of Time Series Forecast for Complaint Management in the Semiconductor Industry. Masterarbeit, 2023 mehr…
• Chun Hei Chung: Applying Deep Reinforcement Learning to Optimize Robotic Dispatcher's Policy in a Discrete Event Simulation: Use Case of a Tool Buffer System in Semiconductor Manufacturing. Masterarbeit, 2023 mehr…
• Vsevolod Kompantsev: Dynamic spend distribution across several advertisement exchanges over multiple time slots with constrained budgets. Masterarbeit, 2023 mehr…
• Mudit Srivastava: Improving Demand Forecasting Measures in Semiconductor Supply Chains through Sophisticated Machine Learning Models and Customer Order Behaviors. Masterarbeit, 2023 mehr…
• Faria Haider: Market optimal distribution of energy for aggregated portfolios of electric vehicles in the context of bi-directional vehicle-to-grid integration. Masterarbeit, 2023 mehr…
• Robin Maximilian Köhler: Prediction of Charging Point Utilization Using a Machine Learning-Based Surrogate Model of a Multi-Agent Simulation. Masterarbeit, 2023 mehr…
• Lukas Scheurich: Two-Stage Stochastic Program for the Scheduling and Location Problem in a Flexible Layout. Masterarbeit, 2023 mehr…
• Ecem Ataç: Optimal Auction Design for Promoting Sustainable Practices in Industrial Procurement. Masterarbeit, 2023 mehr…
• Franz Felix Heim: A neural network enriched framework for conditional two-stage stochastic optimization problems. Masterarbeit, 2023 mehr…
• Alexander David Koch: Deep reinforcement learning for last-mile crowdsourced delivery. Masterarbeit, 2023 mehr…
• Heiko Hoppe: Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems. Masterarbeit, 2023 mehr…
• Jochen Madler: Optimization Techniques for Home Energy Management Systems in Novel Power Markets: A Comparative Analysis. Masterarbeit, 2023 mehr…
• Julian Schmid: Optimization of Demand Adaptive Systems at the Operational Level. Masterarbeit, 2023 mehr…
• Christopher Dudel: Selecting Operators in LNS with Reinforcement Learning. Masterarbeit, 2023 mehr…
• Jee Hyung Kim: Decision Support System Based on State-of-the-Art Deep Reinforcement Learning Models for Vendor Managed Inventory. Masterarbeit, 2022 mehr…
• Claire Schwartz: Deriving Auction Designs from Performance Pricing Value Graphs in Industrial Procurement. Masterarbeit, 2022 mehr…
• Philipp Merz: Optimizing multimodal public transportation systems. Masterarbeit, 2022 mehr…
• Finn Kern: A flexible sustainable urban same-day last-mile multi-pickup and single-delivery system. Masterarbeit, 2022 mehr…
• Kim-Kira Scheder: Decarbonization of the BMW Group: Develeoping a Strategy for the Location-Dependent Replacement of Natural Gas Using Multi Objective Optimization. Masterarbeit, 2022 mehr…
• Lena Fiedler: Electric Autonomous Bus Fleet Design with Operational Constraints. Masterarbeit, 2022 mehr…
• Maximilian Janetschek: Hybrid Flow Shop Scheduling with Integrated Maintenance Planning - A Battery Cell Case Study. Masterarbeit, 2022 mehr…
• Philipp Hohmann: The Split Delivery Vehicle Routing Problem with Truck Platooning. Masterarbeit, 2022 mehr…
• Jonas Grundler: Assembly Line Balancing with high Product Diversity and Process Variance. Masterarbeit, 2022 mehr…
• Hashmatullah Sadid: Waiting time estimation using spatio-temporal graph neural network. Masterarbeit, 2022 mehr…
• Isilsu Diedem Sahin: Development of a Decision-Making Mechanism for Revenue Management with Customer Order Behavior and Forecast Accuracy in the Semiconductor Industry. Masterarbeit, 2021 mehr…
• Marc Kaufeld: The Vehicle Routing Problem With Truck Platooning. Masterarbeit, 2021 mehr…
• Leopold Demleitner: Controlling Autonoumous Mobility-on-Demand Using a Deep Actor-Critic Algorithm: Approaches to Solve the Multi-Agent Setting. Masterarbeit, 2021 mehr…
• Maximilian Jaenichen: Supervised Machine Learning for Disruption Evaluation in End-to-End Semiconductor Supply Chains. Masterarbeit, 2021 mehr…
• Paul Stadler: A Large Neighborhood Search Algorithm for the Multi-Trip Vehicle Routing Problem with Modular Multi-Compartment Vehicles. Masterarbeit, 2020 mehr…
• Daniel Nientiedt: An Adaptive Large Neighborhood Search for Multidrone Delivery with Battery swapping at Mobile Platforms. Masterarbeit, 2020 mehr…
• Timothy Hönig: An Iterative Filtering Algorithm to Solve a Heterogeneous Locationrouting Problem for a Micro-Hub Cargo Bike Network. Masterarbeit, 2020 mehr…
• Christina Liepold: Production as a Service: On the Impact of Partial Production Capacity Sharing. Masterarbeit, 2020 mehr…
• Jose Pastor: Production schedule optimization of an automotive hot stamp line under uncertainty. Masterarbeit, 2020 mehr…
• Niklas Herzel: Solving Hub Network Design Problems. Masterarbeit, 2020 mehr…
• Shilp Patel: Supply Chain Processes for Smart Textile - Semiconductors and Textile - Within the Scope of Genus Tex with Measures to Reduce Bullwhip Effect. Masterarbeit, 2020 mehr…
• Sarah Laamimach: Autonomous Unmanned Ground Vehicles for Urban Logistics - Integration with Public Transportation. Masterarbeit, 2019 mehr…
• Robert zur Bonsen: Fair Matchings for the Taxi Sharing Problem. Masterarbeit, 2019 mehr…
• Lorenz Hansbauer: Measuring and Counteracting the Bullwhip Effect with Big Data and Artificial Intelligence. Masterarbeit, 2019 mehr…

M.Sc. in Media Informatics

Examples of done master's theses topics.

• Interactive Path Planning and Real-Time Motion Synthesis for Articulated Humanoid Characters in Virtual Environments
• Model Driven Approach in VoiceXML Application Development 
• Security Aspects Analysis in Mobile Web Service Provisioning
• Awareness Visualization of BSCW Server
• A Comparative Study of Static Software Analysis Tools with a Special Focus on Software Visualization
• Building Semanticmodel for Common Document Formats With Optimized Searching
• Creating and Exploiting Ontology for Flexible and Natural Multimodal & Voice Dialogs
• A Multimodal Digital Map System with Mutual Disambiguation 
• User Centered Requirements Engineering for Highly Situated Collaborative Activities (Early Prototyping of a Wearable Computing System for Fire Fighters)
• Tracking with Ultrasonic Model Recognition, an Approach towards Ultrasonic Vision
• Designing an Information Service for Grid Environments
• A Reliable Grid Information Service Using a Unified Information Model
• Accessibility Analysis of Dynamically Changing Online Applications
• Data Policy Aware Scheduling in Grid Computing Environments
• Secure Distribution of closed group data for the  BSCW System
• Matching Operators for Models represented in a Generic Meta Model
• Building an Internet Community for Cooperative Work and Information Sharing 
• Location-Awareness and Tracking to improve Museum Experience
• Incorporating E-Accessibility in the Workflow and Design Process of Content Management Systems
• Sensor Fusion for Location Awareness
• Quality of Service Enhancement and Interface Development for Disaster Time Communication Network using WIMAX and Wi-Fi
• Advanced Mobility Management for seamless Voice Call Handover in the IMS
• Generic Activity Recognition for Real-World Application
• Contextualization of Office Artifacts using RFID
• Community-Collaboration using Online-maps
• Development of a Model-Based Workflow-Designer
• Developing an Interactive Software Visualization and Navigation Framework for Eclipse
• Implementation and Performance Analyzis of a UDP Binding for SOAP
• Improving Schema Matching by Exploiting Semantic Information
• Development of robust video recognition system and alignment tool
• Deployment and Evaluation of GMPLS Networks in Context of Scalability
• Automatic RTL Implementation of Reconfigurable ASIPs from High-level Description
• Realization and Evaluation of an Asynchronous Service Access Protocol for Mobile Web Services
• Effective Bandwidth Management for Roaming Users in an 802.11 Wireless MAN
• An Advanced Map Service for Cultural Heritage Communities
• Adapting User Interfaces to Mobile Input Devices
• Music Recommendation Based on Album Reviews
• Development of a Newspaper Image Understanding System
• Dynamic Awareness for Shared Workspaces
• SCA Compliant Waveform Design for future Software Defined Radios
• QoS-aware Publish Subscribe System using Spatial Indexes
• Word Dependant Scaling Factors in Automatic Speech Recognition
• Haptic Palpation based on Anatomical Simulation for Virtual Environments
• Predictive Filtering & Effects on Human System Interaction in Virtual Environments
• Integration of Smart Caching and Overlay Networks for Wireless Communication Networks
• Feature Selection and Extraction: A Video Retrieval Perspective
• Context-Based Navigation Support for Commuters
• Device and Route Discovery in Hetrogeneous ZigBee-IP Networks
• Visualization of Parameter Data
• Improving User's Awareness of Diet and Physical Activity Using Mobile Persuasive Technologies
• Design and Implementation of Peer-to-Peer based on Virtual Private Network
• An integrated approach to biological data management based on ER modelling
• Web based multi user annotation framework for multimedia data
• Transformation of Modelling Language on Medical Domain into Excecutable Language: The Case of GLIF to JPDL
• Diagnostic Analysis of Control Plane Signalling in Optical Networks
• Web Browser Service Continuity on Portable Storage Devices with Utility-Based Evaluation for Personal Privacy Tradeoff
• Clustering Photos to Improve Visualization of Collections
• PLEM: A Web 2.0 Driven Service for Personal Learning Management
• A Neural Network Approach to Learning the Benavior of a Kicking Device in the Gazebo
• A Toolkit to support Dynamic Social Network Visualization
• Dynamic Data Flow Analysis for MPSoC Software Development
• Dynamic Patterns for the Analysis of Cultural Science Discourses
• View Planning for Robot-Based 3D Reconstruction
• Composition of Mappings for a Generic Meta-Model
• Generic Schema Merging Based on Complex Mappings
• Computer-supported Shape Modeling by Re-Combination of Geometric Components
• Human Computer Interaction Using Vision Based Gesture Recognition with Depth Maps
• Personalizing Music in Public Places for Individuals and Groups
• Time-Based Video Annotation and Time-based Video Linking - A Concept Analysis Realized with the Joomla! Framework
• IdeaBall: A Physical Artifact for Moderating and Analyzing Brainstorming Sessions
• Evaluation and Improvement of Security in Zigbee Networks
• Component Deployment System for Roles
• Data Classification in Wireless Sensor Networks for Habitat Monitoring
• Mobile User Interface for Outdoor Sports Applications
• Dynamically Coupling ERP Information Pieces by Task Flow
• Identity Based Encryption: Security Notions and New Identity Based Encryption Schemes based on Sakai-Kasahara Key Construction
• Speech Technology for Computer Assisted Captioning of TV Programs
• Disk-based Interface for Semantic Composition
• Mobile Interaction in Ubiquitious Computing Environments - Exploration of an Interacton Mechanism Based on Map Views
• Online Data Exchange of Automation Systems for the Mining Industry
• Internet Congestion Control Equilibra: A Strategy-Proof Approach
• Frequency-Dependent Resource Signalling and Scheduling for an OFDMA based Data Link Layer
• Web 2.0: A Classification Framework Based on Technology and Application
• Influence of Magnification to Distance Pointing
• Rich Tactile Output and Feedback on Mobile Devices
• Process Modelling Support in the Disaster Management Domain
• Mobile Cocktail Party - Exploring Interaction with Spatial Audio Applications on Mobile Devices
• Handwrite: A Text Input Technique for Multitouch Tabletops Using Hand Gestures
• Software Configuration Management for Change-Sensitive Real-Time Simulation Software with Many Variants
• Modelling and Simulation of Network Architectures for Triple-Play Services
• An Evaluation of Salience-Driven 3D Shape Retrieval Methods
• Investigating the Effect of Age and Parkinson's Disease on Touch-based Selection and Scrolling Tasks
• NetLearn: Social Network Analysis and Visualisations for Learning
• Distributed Meta-Learning for Document Classification
• Design, Implementation and Evaluation of a Framework for Mobile Phone Interaction with Personalized Web Application and Asynchronous Communication Back Channel
• Linear Discriminant Analysis in a Log-Linear Framework for Speech Recognition
• Evaluating Parallel Programming Models
• Evaluating the Effectiveness of Information Presentation Methods in Spoken Dialogue Systems
• Transformation and Visualization of Mappings between Models
• An Enhanced Mechanism for Content Distribution in Next Generation Networks
• Pyragrid: Integrating Peer to Peer and Grid Architectures
• Updating XML
• Realtime Nocturnal Rendering
• Plans from Proofs
• Multimodal Search Interface for Next gEneration sEarch engine for Digital Libraries (NEEDLE)
• Mixup: A Design Tool for the Rapid Integration of Presentation components
• Tailorability of personalized web services composition
• Development of Interaction Interfaces between 3D Games and Markerless Hand-Tracking
• Exchange of Graphical Data between Application Specific Software and COTS Software
• Physics Abstraction Layer for Virtual and Augmented Reality Applications
• Application of SIOC Ontology for the Development of Workspace Interoperability in MS Sharepoint
• Development of a Semiautomatic Graffiti Tag Identification System
• Robust logo recogniton from color documents using region-based shape descriptors
• Application of (indoor) Positioning Technology to Support Cooperative Tasks and Intergration of Selected Positioning Systems into a Groupware System (FIT-Tracker)
• Semi-Formal Process Models to Executable Workflows
• Semantic Web Service Selection supporting QoS and Context Awareness
• Computation of Saliency Maps in Street Videos acquired by a moving Camera
• Development of Error Concealment Algorithms for H-264/AVC Scalable Video Coding
• Counterfeit Detection by Mining Product Traces
• Design and evaluation of a minimally-distraction in-car video communication system
• Supporting Collaboration in Meetings based on Interactive Paper Documents and a Tabletop
• Activity Recognition in Still Images
• Visual Micro Blogging for self-reflection
• Comparison of Local Detectors and Descriptors for Pose Estimation
• Predicting Aesthetics in Photographic Images
• Concept and Implementation for Context-Based Documents within Groupware Systems
• A Metadata-Based Media Player for Viewing and Sharing of Streaming Content
• Asynchronous Distributed Indexing of Large Media Collections
• Magic Lense Tracking with an Infrared Grid
• The HomeMedia Project: Studying Mobile Interaction in Ubiquitous Home
• Perceptual Evaluation of BTF Compression Techniques
• Towards a Flexible, Modular Geodata Visualization System
• Design of a Personal Data Service with Collaborative Capabilities
• Characterisation and Applications of MANET Routing Algorithms in Wireless Sensor Networks
• Semi-Automatic Validation of Semantic Business Process Models
• Image Clustering Using Machine Learning Algorithms
• Process Support in the Emergency Management Domain
• A comparative study of record matching algorithms
• Software Framework for Computing Semantic Relatednessusing Explicit Semantic Analysis (ESA)
• Resource Allocation and Access Control in a Dynamic Process Management System
• Prototyping Real-Time Collaborative Applications
• Practical Evaluation of Polygonization Algorithms
• Web Application Attacks and Adversarial Modelling: A new Approach for Classification and Attacker-Centric Formalization of Web Aplications Attacks
• Mobile Contexts: Network Fingerprinting and Auto Configuration
• Design of a Presentation State Manager for Displaying Characterictics of Medical Images
• Interlinking cross-application desktop hierarchies to overcome their semantic lacuna
• Coupled Sonar Inertial Navigation System for Pedestriam Tracking
• Cryptanalysis of Hash Funcions
• The UbiLens Approach - A Visualization and Interaction Technique for Real World Objects in Smart Environments trhourgh a Mobile Phone Camera
• A Social Web Service Adaptation Portal Driven by User Context
• Trained Graph Cut for Image Segmentation
• Exploring Task Information through BSCW with Interactive Visualization
• A Platform for Event-Based Provisioning of NGN Services
• Anomaly Detection in Different Contexts on Smart Phones
• A Supporting Environment for Review Management Systems Analysis in Scientific Publication
• Design and Evaluation of a Mobile Device as a Smart Metering Display
• Human Age Recognition on Portraits
• Lying Posture Recogniton in Still Images
• Development of a Mobile Display and Analysis Unit for the IPANEMA Body Sensor Network
• Incremental evaluation of XML views (relational subsystem)
• Certain and Maybe Answers in Data Exchange
• Performance Evaluation of Handoff and Connectivity Optimization Techniques for Wi-Fi based Mobile Access Networks
• Complex Action Selection in Spoken Dialogue Systems
• Web-based Mobile Text Retrievval
• Modeling Design Patterns with Description Logic
• Combinatory Categorial Grammar Parser in Natural Language Toolkit
• Realistic Garment Replacement in Images
• JPEG 2000 Region of Interest Encoding in Broadcast Applications
• A SIP-Based Framework for Context-Aware Service Provisioning in Converging Environments
• Object Oriented Data Model ot the Semiconductor Industry aligned to SCOR on the example of Infineon with focus on product
• Estimation of 3D Human Pose and Motion from a Video Sequence
• My Sessions Tool - Context Aware Monitoring of Computer User Resources
• Supporting Mobile Users of Shared Workspaces
• Brainstorming Using Multi-Touch Tabletop
• Visualization of Large Process Models
• Fly – Expressive and Conveying Planar Presentations
• Increasing Energy Awareness in Office Spaces: A Pervasive Game-Based Approach
• Twitter Author Analysis (Tweets - Stylistic Pattern Recognition)
• Matrix Factorization for Graph Link Prediction
• Efficient Multi-View Object Detection and Segmentation
• Perceptually Tuned Color Reduction for Document Images
• Image Retrieval, Annotation and Classification Using Data in Multiple Modality
• Exploring Mobile Augmented Reality Instructions to Assist Operating Physical Interfaces
• Building an Effective Rewarding System based on Reputation
• Human Action Recognition in Still Images
• Passing-by Interaction in Public
• Concept and Evaluation of Mobile Application Server for IP Multimedia Subsystem
• Novel Approaches for Touchless Interaction With Mobile and Desktop Devices in Digital Entertainment
• Comparision and Evaluation of Procedureal and Stereo Modeling Techniques for Rapid Prototyping of Real Cities
• Perceptual Video Similarity
• Using semantic web technologies for data update
• Implementation and Analysis of Join Algorithms to handle skew for the Hadoop Map/Reduce Framework
• 3D Buildings Extraction from Aerial Images
• Design and Evaluation of Different Smoothness Constraints for Scene Flow Estimation
• Prototyping Power Loading for CSMA-based Wireless Networks
• Using Background Knowledge in Schema Matching and Ontology Alignment
• A Global Oneway Control Channel for Opportunistic Networking
• Emergent Gameplay through a Collaborative and Competitive Location-based Mobile Game
• Influence Analysis of UbiComp Systems on Large-Scale Emergency Scenarios Using Agent-Based Simulation
• Signal-based Estimation of the Number of Simultaneous Speakers
• Residual Prediction in High Efficiency Video Coding
• Semi-Supervised Online Learning for Low-Level Tracking
• A Course Mapping Tool for Collaborative Learning
• Real-time Area Lights with GPU-based Voxelization and Cone Tracing
• Certificateless Encryption Scheme Using Biometric Identity
• Extracting Expertise, Interests and Social Networks from User Actions in a Cooperation Platform
• Robust Expert Ranking in Community-based Fake Multimedia Detection Systems
• Tag-Based Collaborative Filtering Recommendation in PLEM (Personal Learning Environment Manager)
• Sentence Boundary Detection for Broadcast News Recordings
• Agent-Based Simulation of Effectual and Casual Behaviors of Entrepreneurs
• Design and Implementation of a Flat SGSN Functionality for 3GPP Release 11 Evolved Packet
• Improved Visualization of Evolutionary Bridge Design Pattern Library
• Detecting and Visualizing Overlapping Facebook Communities with Node XL
• Requirements and Evaluation of an Open Assessment Framework
• Collaborative Checklist System for Mobile Users in Emergency Response
• Automatic classification of polarized light microscopic images for high throughput protein crystallization screening
• Efficient DBSCAN Clustering with MapReduce
• Collective Activity Recognition Based on Spatio-Temporal Distribution of Objects
• Discovery of Semantic Relationships in Schema Matching
• Analyzing Causes of Privacy Mismatches in Service Oriented Architecture
• Mining Correlation Clusters in Subspaces of HighDimensional Databases
• Similarity Matching and Summarization for Uncertain Time Series
• Design and Implementation of a Content Rating and Recommender System for a Collaborative Work Environment
• The impact of body posture on couchtable accuracy 
• Individual and Group Interest Mining in Academic Networks
• Efficient Retrieval of Mobility Patterns on Mobile Devices
• Developing a Domain-Specific Mashup Tool
• Natural head-motion synthesis for animated talking faces
• Fabiji: A tablet kiosk to facilitate creating and sharing documentation at fab labs
• Interest Mining in Social Networks
• Application and Gamification in BSCW system to enhance user behavior
• HeapVision: Debugging by Interactive Heap Navigation
• Code Mixer: A Visual Approach to Code Comprehension and Information Foraging
• Learning Analytics tool for Video-Based Learning in L2P
• Quality of Service Evaluation of IP Multimedia Services based on service differentiation over the mobile networks
• Realization of Peer Review Assessment in L2P
• Supporting Users in Creating Customized Trust Queries
• Network-based Classification of Application Behaviour
• A Collaborative Evolution Process for an Evolutionary Design Pattern Library
• Requirements Identification with Open Source Software
• A Web Dashboard for Community-Regulated Microlearning
• An Open Assessment Support Tool for L2P
• Evaluation of the Relevance of the Source IP Address for Collected Malware
• Monitoring and Analysing the Communication Activity of eProfessionals
• Non-Local Scene Flow with Soft Segmentation
• Design and Implementation of a Software Infrastructure for Relevance Feedback Applied to Big Data from Simulations
• Parallelization of a geological reservoir simulation software package
• Rapid Prototyping Tool for Mapping Physical Sensors to Domain Models
• Sniper Pointing: Above the Surface Pointing in Mid-Air
• A Japanese Sign Language / International Signs Teaching System with Kinect
• Concept and Evaluation of Semi-Automatic Tagging for Emails
• Improving Awareness at the Workplace Using Colorful Light
• TextiPad: Implementation and Evaluation of a Wearable Textile Touchpad
• Adding Document Management Support to Email Communication
• Conjunctive Triple Queries Over Unstructured Data
• An Interactive Platform for Collaborative Stroytelling - The Storybroad System
• A Framework For Inexpensive And Unobtrusive Tracking Of Everyday Objects And Single-Touch Detection
• Computing with infinite groups
• Large-scale Image-based localization using learnt projection for local features
• Building an appearance based hand gesture recognition system using the Microsoft Kinect
• Movement analysis of visitors using location-aware guides in museums
• Establishing invariant parameters for the OBJECT image schema in gestures through motion-capture data analysis
• Exploring the use of physical surfaces for extension of a digital working environment
• Resolving Ambiguities in Modulated Phase Shifting for Multi-View Stereo Reconstruction
• Opposable Thumbs: A Bare-hands Text Input Technique
• A Business Process for Continuity and Recovery in Virtualized Systems and Mitigating the Risks and Threats of Virtualization
• Visualizations of Learner Models
• Syntactic Smoothing of Hierarchical Translation Models
• Generating a Reputation System for Wireless Mesh Networks by Profiling Expected Node Behaviour
• Device Proxy Discovery and Ontology-Based Domain Model Middleware
• Micro-architectural Error Propagation Analysis through Probabilistic Error Masking Matrices in Approximate Computing
• 2D Visualization of 3D Medical Images within a Distributed System for Cancer Treatment using Hybrid Computation Approach
• User Decisions about the Security of Mobile Applications
• TrendNexus: Analysis and Visualization of Twitter Hashtags and their Correlation
• Redesigning Web Applications for Collaboration: A Widgettizing Methodology
• Methods for Leaf Segmentation and Feature Analysis
• Increasing User Awareness for Genomic Privacy
• Random Forests for 3D Pose Estimation from 2D Images
• Application-Centric Deployment of Low-Power Wireless Networks
• BAMBI: Bio Analysis Multi-tracking Based Integration System for BioLab
• Evaluating Interactive Diagrams for the Analysis of Neuron Activity Data
• Integrated Banner Visualization to Improve Asynchronous Workspace Awareness Suppport in a Collaborative Application
• Collaborative and situation dependent management of public screen content
• A Toolkit for Data Collection, Management and Analytics in Academic Networks
• Public Display Ahthentication
• A Study of the possible Scenarios for Rendering on a Tiled Display Wall using a Single PC
• Movement Patterns in Location-based Multiplayer Games
• Improvement of 3D Models in Image-Guided Positioning
• Grippo: Using Grip Gestures to Repurpose Everyday Objects as Controllers
• VisiStat: Visualization-driven interactive statistical analysis
• Interest-based Recommendation in Academic Networks using Social Network Analysis
• User Centered Design Approach to Visualise Opportunities For Collaboration in Large Organisations
• Modelling of XAx-Process Chains
• Mobile Shopping Experiences and Purchases on Google Glass
• Protecting Users from Co-Location Disclosures in Online Social Networks
• Improving Depth based Poeple Detection for Mobile Robotics
• Semantic Segmentation using Context Sensitive Decisioin Forest
• Editing 3D segmentations of pleural thickenings combining image information and user-interaction
• Adapting Speech Act Theory to Support Organization of Email-based Conversations
• Implementation and Feasibility Study of a Cooperative Mobile Network Connectiviity System
• Real-time collaborative IMS Learning Design Authoring Tool
• Design and Development of a Web Automation Framework for Manual/Automatic Testing of Modern Web Applications
• Digital Music Instrument: Analyzing Hand Gesture To Understand Hand Movement Towards Music Parameters
• Exploiting Gamification for Geographical Entity Matching
• Visual Bookmarking with Mindmap Method
• Simplifying the Understanding of Trust Management for Non-Security Experts
• Social Media Filtering based on Linked Open Data
• Heterogeneous Spreading in Complex Networks with Community Structure
• GazeTouch: Using Gaze Tracking to Select Indirect Touch Targets
• Symphony of Modalities for Interaction in Augmented Reality
• A Semantic Content-based Recommender System using Bayesian Networks
• Investigating Local Symmetries for Image Ratings Prediction
• A Gestural Interaction Model to Classify Deformable Everyday Objects
• WatchRing: Fast and eyes-free scrolling method for smart watches
• Quantifying Similarity and Predictions in Location-Based Social Networks
• Development of an Adaptive Indoor Localization Support System for People with Special Needs
• Nato Generic Vehicle Architecture (NGVA) Sensor Integration for Adaptable Crew Assistance, Alarm and Event Prediction System
• Design and Evaluation of an Augmented Flute forBeginners
• Seat occupancy detection using data fusion at car sensors
• Autoencoder networks for detection of fraudulent financial activities in ERP systems
• Rotationally Invariant Classification of Symmetric Functions on the Sphere
• Designing a seamless UI between PRIME apps
• Designing a Seamless Application Architecture in the Android Platform for the PRIME Apps
• Contribution of Optical Flow in Stereo Object Detection
• A RESTful Web-based Expert Recommender Framework
• Conveying Feedback in Skill Movement Acquisition
• Data-driven motion synthesis of virtual dance partners
• Fast Projection to the Birckhoff Polytope
• User-centered Design of Tools for Dynamic Tagging of Environment to Support Firefighters in Disaster Scenarios
• Retrieving Indoor Routes using iBeacons
• Animation of Primitives Sketches: From Gathering Dataset to 2D Animation with Use of Motion Caption Database
• BundleMAP: Anatomically Localized Classification Regression and Statistical Analysis in Diffusion MRI
• A Framework for Predictive Analysis of Time Evolving and Overlapping Communities
• Random Forests for Stroke-Based Design of High-Diminsional Transfer Functions
• Free decoding parameter optimization for automatic speech recognition
• Analysis and Detection of Android Malware with a special focus on Droid KungFu
• Patch-Based Nonrigid Registration of Triangle Meshes and Point Clouds
• Time Series Prediction using Echo State
• Holistic History User Interface in HCM Cloud Applications
• Usability, Modularity and Extensibility Improvement in CourseMapper
• Visualizing Whole Brain Tractography on a Head Mounted Display
• Prediction and control of thermal energy demand of commercial buildings using neural networks
• Hierarchical Archetypal Analysis for Image Recognition
• Open-world Short-term People Re-identification
• Crease Enhancement Using Fourth Order Nonlinear Anisotropic Diffusion Equations
• Facial Landmark Localisation with Random Forests Under Occlusion
• Detecting Appliances and Faults in Appliances based on Power Usage Data
• Usability Evaluation of Ontology Engineering Tools

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• Noginsk Museum and Exhibition Center
• Fairy Tale Children's Model Puppet Theater
• Fifth House Gallery
• Church of Vladimir
• Malakhovka Museum of History and Culture