Find Academic Supervisors

Jan Michael BoelmannView profile

Professor

• Literature Didactics
• Media Education
• Digital Education
• +7 more

Professor Jan Michael Boelmann holds a Professorship for Literature and Media Didactics at Pädagogische Hochschule Freiburg, where he also serves as Director of the Center for Didactic Computer Game Research (ZfdC) and is a co-founding director of the Center for Interdisciplinary Research on Digital Education (CIRDE). His work bridges German literature education with digital media, particularly focusing on how narrative computer games and other digital tools can enhance literary understanding in educational settings. Professor Boelmann's research interests center on literature didactics, digital education, and the integration of computer games into teaching practices. He has developed the influential BOLIVE model for measuring literary competence and has published extensively on how narrative computer games can foster literary understanding, particularly in primary education contexts. His current research explores cognitive activation through digital learning tools and how students' media affinities affect their literary competence development. His recent publications (2021-2024) show a consistent focus on practical applications of digital media in education, with particular emphasis on computer games in primary school settings, digital learning journals, and the assessment of literary competence through digital means. The publications reveal a strong interdisciplinary approach combining literary studies, educational psychology, and media studies. Professor Boelmann currently leads multiple research projects including the Di.ge.LL-II research college on digital teaching methods and the MABEL project on media affinities. He supervises numerous doctoral candidates working on topics related to digital literary education and maintains active collaborations with Albert-Ludwigs-Universität Freiburg. Through the Center for Didactic Computer Game Research and the 'Aus erster Hand' lecture series, Professor Boelmann creates valuable opportunities for students to engage with both theoretical research and practical applications of digital media in education, connecting academic work with industry professionals including game developers, authors, and media specialists.

• Modern German Literature
• Digital Humanities
• German-Jewish Modernism
• +6 more

Burkhard Meyer-Sickendiek is a Senior Lecturer at the Institute for German and Dutch Philology , Free University of Berlin , specializing in Modern German Literature and Digital Humanities. He leads the international research group "Rhythm Detector" (2017-2020), focused on computational prosody analysis. Research Focus: German-Jewish Modernism, Satire/Irony, Neurocognitive Poetics, 18th Century Affect Theory, Experimental Prose, and Digital Humanities methodologies. Grants: DFG Heisenberg Scholarship (2010-2015), Volkswagen Foundation Research Group (2017-2020, €450,000), multiple Thyssen and DFG conference grants. Publications include monographs on Zärtlichkeit (2016), Lyrisches Gespür (2011), and Tiefe (2010). His work connects cognitive science with literary analysis, examining rhythmic structures in free verse. Scientific Awards: 2013/14 Heidelberg University Berufungsliste (ranked #3), 2015 Klagenfurt Berufungsliste (ranked #2), 2017-2020 Volkswagen research leadership. Academic Leadership includes coordinating Munich's graduate literature program (2001-2003), organizing conferences like "Stimmung und Methode" (2012) and "Der jüdische Witz" (2013), and developing the Rhythmicalizer digital tool for prosody analysis.

Carlos Gonzalez DiazView profile

Research Fellow

• Human-Centered Artificial Intelligence
• Human-Computer Interaction
• Affective Computing
• +3 more

Dr. Carlos Gonzalez Diaz is a scientific assistant at the Chair of Human-Centered Artificial Intelligence within the Faculty of Applied Computer Science at the University of Augsburg. His work focuses on integrating emotional, social, and cognitive aspects into AI systems. Institute of Computer Science, University of Augsburg Human-Centered Artificial Intelligence research group His research interests include: Human-Computer Interaction Affective Computing Social Robotics User Experience Design Key projects associated with his team include: FORSocialRobots THERAPAI CEEds ARIA-Valuspa Kristina ILHAIRE Contact: Email: carlos.gonzalez.diaz@uni-a.de Phone: +49 821 598 2341 Office: Universitätsstraße 6a, Augsburg

Michael DietzView profile

Researcher

• Human Computer Interaction
• Mobile Assistive Systems
• Signal Processing
• +3 more

Dr. Michael Dietz is a Researcher at the Chair of Human-Centered Artificial Intelligence ( University of Augsburg , Faculty of Applied Informatics, Institute of Informatics). His work focuses on Human-Computer Interaction , Mobile Assistive Systems , and Signal Processing with Machine Learning applications. Key research trends include: Development of mobile frameworks for real-time affective feedback (SSJ Framework, SenseEmotion) Augmented reality applications for public spaces and ambient media Privacy-preserving machine learning on mobile devices Physiological signal analysis for stress detection in older adults Eye-tracking innovations for visual search detection Explainable AI techniques in facial expression recognition Projects: EmmA (Emotional mobile Avatar) Glassistant (Smart Glasses for MCI patients) SenseEmotion (Multisensorial emotion recognition) SSJ Framework (Social Signal Processing)

Bhargavi MaheshView profile

Researcher

• Human-Computer Interaction
• Artificial Intelligence
• Affective Computing
• +3 more

Bhargavi Mahesh is a Scientific Associate at the Chair of Human-Centered Artificial Intelligence within the Faculty of Applied Computer Science at the University of Augsburg. Her work focuses on interdisciplinary research bridging artificial intelligence, affective computing, and social robotics. Institution: University of Augsburg Department: Chair of Human-Centered Artificial Intelligence Research Interests: Human-Computer Interaction, Social Robotics, Affective Computing, User Experience Design She contributes to projects exploring emotionally intelligent systems, including social robots for healthcare (MindBot, Glassistant), affective interaction frameworks (DEEP, AVASAG), and personalized virtual agents (ARIA-Valuspa, Kristina). Her research emphasizes empathy, trust, and cultural adaptability in AI systems, with applications in mental health, education, and elderly care. Current projects include FORSocialRobots, BIGEKO, TherapAI, and ViLeArn_more, which investigate multimodal emotion recognition (SenseEmotion), empathic data systems (CEEDs), and context-aware recommendation systems (CARE). She collaborates on interdisciplinary initiatives like eCute, Humaine, and IRIS, integrating AI with education and human-centric design.

Sonja NiemannView profile

Researcher

• Generative AI
• Human-AI Interaction
• Trust in AI
• +4 more

Sonja Niemann serves as a Scientific Officer Research and research associate at the Bavarian Foundation for Science, Technology and Society (bidt), specializing in human-AI co-creation systems with emphasis on code generation within the pAIrProg research project. Her academic background includes: Bachelor's degree in Psychology from University of Trier Master's degree in Computing in the Humanities from Otto-Friedrich University of Bamberg, focusing on cognitive systems and AI Niemann's research centers on trust dynamics in human-AI collaboration for programming tasks, examining how user expertise levels affect performance outcomes. She actively investigates ethical dimensions of generative AI systems and develops frameworks for equitable human-AI co-creation, integrating cognitive science methodologies with practical AI implementation. Her work bridges technical AI development and human-centered design principles to address real-world adoption challenges. Her 2025 publication analyzes prompt engineering strategies for optimizing user-AI interactions, demonstrating how structured questioning techniques significantly improve output quality from language models. This research reveals consistent patterns where domain-specific prompt templates outperform generic queries across diverse user skill levels. As a core contributor to bidt's pAIrProg project, she designs experimental protocols studying human-AI code collaboration. Her public engagement includes co-hosting workshops like 'AI is not neutral – you can change that!' at TINCON 2025, where she demonstrates bias mitigation techniques and advocates for inclusive AI development practices through hands-on coding exercises.

• Psychophysiology
• Brain Dynamics
• Network Topology
• +3 more

Victor Müller is a Research Associate at the Max Planck Institute for Human Development (MPIB) in Berlin, affiliated with the Developmental Psychology department. He has held research positions at MPIB since 2004, following prior roles at Saarland University and the University of Tübingen. Müller earned his Doctorate in Social Sciences from the University of Tübingen in 1996. His research investigates neural and physiological mechanisms of interpersonal coordination, with emphasis on: Psychophysiology of lifespan aging and social interactions Hyper-brain networks during synchronized activities (e.g., music performance) Complexity in brain dynamics and topological network analysis Genetic bases of neuronal plasticity and phase synchrony Müller's recent publications (2014–2024) predominantly explore interbrain synchronization during collaborative tasks, using hyperscanning techniques to analyze guitar quartets, choir singing, and piano duets. Key trends include network topology dynamics, cross-frequency coupling, and physiological coordination in social contexts. Awards include: Nordmark Neuropharmaka Award for Parkinson's research (1994) Visiting Fellowship at Washington University School of Medicine (2008) He contributes to the Developmental Psychology team at MPIB, investigating group-level brain dynamics through experimental paradigms involving music and joint action tasks.

Katja GutscheView profile

Professor

• Engineering Asset Management
• Maintenance Management
• Service Operation
• +4 more

Prof. Dr.-Ing. Katja Gutsche is a Full Professor at Furtwangen University in the Faculty of Engineering Management since 2016. She serves as Program Manager for "Innovation Engineering" (M.Sc.), International Representative for Faculty I, and Rectorate Representative for Deutschlandstipendium. Her academic journey includes being a Visiting Professor at Alfred University/USA (2011-2016), Professor in Industrial Services and Dean of Studies at Ruhr West University of Applied Sciences, and Research Associate at the German Aerospace Center. Her educational background includes a Doctorate in Engineering from Technical University of Braunschweig (2009), studies in Industrial Engineering with specialization in Production from TU Ilmenau and École nationale supérieure de physique de Strasbourg, and professional experience at Continental AG. She completed her doctoral work at the Technical University of Braunschweig while serving as a Research Associate at the German Aerospace Center. Professor Gutsche's research focuses on the intersection of engineering asset management, service technologies, and human factors in industrial services. Her work explores how digital transformation impacts service operations, particularly in maintenance and asset management contexts. She investigates the balance between technological innovation and human performance, examining how smart tools and information systems affect service quality and technician experience. Her research demonstrates strong connections between theoretical frameworks and practical industrial applications, with particular relevance to railway infrastructure and manufacturing sectors. Her recent publications show a clear trajectory toward increasingly sophisticated applications of digital technologies in service contexts, including neural network applications for predicting equipment behavior and comprehensive failure detection systems. She has made significant contributions to understanding how information digitalization impacts asset availability and how smart tools can enhance service quality. Engineering Asset Management Maintenance Management Service Operation and Productivity Human Factors in Industrial Services Digital Transformation in Service Engineering Smart Tools for Service Development Professor Gutsche leads the Industrial Solutions Lab at Furtwangen University, where she and her team explore innovative approaches to service engineering and asset management. Her work connects academic research with industrial applications, focusing on practical solutions for real-world challenges in service operations and maintenance management. She has published 49 papers with 2,958 reads and 97 citations, demonstrating significant impact in her field.

Peter SchilkeView profile

Professor

• High-Mass Star Formation
• Astrochemistry
• Molecular Cloud Formation
• +2 more

Professor Peter Schilke is a distinguished astrophysicist at the University of Cologne's Institute of Physics I, where he has been faculty since March 2009. He serves as chair of the Bachelor of Science Examination Board and leads an active research group focused on high-mass star formation and astrochemistry. His work involves advanced observational techniques across multiple wavelengths and sophisticated modeling approaches. PhD from University of Bonn (1992) Research Fellow at Caltech (1992-1995) Postdoc at I. Physikalisches Institut (1995-1997) Scientist at Max-Planck-Institut for Radioastronomy (1997-2009) Professor Schilke's research focuses on the formation processes of high-mass stars, astrochemistry, and the evolution of molecular clouds. His work particularly emphasizes the modeling of observational data to understand physical and chemical processes in star-forming regions. He investigates how material is transported from large-scale molecular clouds to dense cores, how feedback mechanisms from newly-born stars affect this process, and how chemistry evolves from the diffuse interstellar medium to dense star-forming regions. His group has expanded studies to include clusters surrounding high-mass stars and extragalactic star formation in the Large Magellanic Cloud. Analysis of his recent publications reveals a strong focus on large-scale observational programs, particularly the ALMAGAL survey using ALMA to study high-mass protocluster formation across the Galaxy. His work combines observations from multiple facilities including ALMA, APEX, IRAM instruments, SOFIA, and SMA. The research spans both observational and computational approaches, with significant emphasis on developing software tools for data analysis and modeling. Albertus-Magnus teaching award in physics (2020) Professor Schilke actively mentors PhD students, with current advisees including Akash Gupta, Han-Tsung Lee, and Eleonore Rodrigues da Costa, among others. He has successfully supervised recent PhD graduates including Fanyi Meng, Mahya Sadaghiani, and Andreas Schwörer. His research is supported by multiple significant grants, including leadership of Project C3 in the SFB 956, involvement in projects A4 and A6, and participation in the ALMAGAL large program. He previously served as co-I of Herschel/HIFI and was involved in the HEXOS and CHESS key programs. His research group develops and maintains several important astronomical software packages including STATCONT for continuum level determination, MAGIX for model optimization, and XCLASS for spectral line analysis. The group actively participates in major observational campaigns using ALMA, planning for CCAT-prime, and analyzing data from previous missions like Herschel. They maintain strong collaborations with international partners through projects like the SFB 956 and various ALMA committees.

Naser Al MadiView profile

Assistant Professor

• Eye Tracking
• Program Comprehension
• Human-Computer Interaction
• +3 more

Naser Al Madi is an Assistant Professor of Computer Science at Colby College, where he teaches core courses including Data Structures and Algorithms (CS231) and Software Engineering (CS321). His research integrates eye tracking with software engineering to enhance source code comprehension through analysis of developer behavior and eye movement patterns during software development. His educational background includes a PhD from Kent State University (2020), followed by a visiting research scholar position at Harvard University's School of Engineering and Applied Science and Schepens Eye Research Institute in 2023. Prior to joining Colby, he began his teaching career at Hamilton College where he taught Operating Systems and Wearable Technology courses. PhD, Kent State University, 2020 Visiting Research Scholar, Harvard University, 2023 Began teaching career at Hamilton College Dr. Al Madi's research focuses on the intersection of eye tracking technology and software engineering, particularly examining how developers comprehend source code through eye movement analysis. His work extends to Human-Computer Interaction applications in clinical rehabilitation settings and the impact of AI tools like GitHub Copilot on code readability and developer workflows. He maintains an active research blog discussing cognitive aspects of programming and regularly collaborates with undergraduate students on research projects. His recent publications analyze lexical similarity in identifier names, the readability of AI-generated code, and longitudinal eye tracking studies of developers progressing from novice to expert levels. These works collectively explore how cognitive processes affect software development practices and how tools can be designed to better support developer cognition. Dr. Al Madi is deeply committed to inclusive computer science education, advocating that 'anyone can become a computer scientist if they work hard' regardless of background. He actively mentors undergraduate researchers, emphasizing the importance of diversity in technology development to prevent exclusionary design patterns. His teaching philosophy integrates modern software engineering practices with critical analysis of AI tools, requiring students to understand and verify all AI-generated code rather than using it uncritically. Based in the Davis Science Center at Colby College, he maintains an active presence in the software engineering research community, serving on program committees for major conferences including ASE and FSE. His blog features practical career advice for students, including guidance on resume building, internship applications, and navigating the tech industry.

Amiangshu BosuView profile

Associate Professor

• Empirical Software Engineering
• Code Reviews
• Software Security
• +8 more

Amiangshu Bosu is a tenured Associate Professor in the Department of Computer Science at Wayne State University's College of Engineering. Previously, he served as a tenure-track Assistant Professor at Southern Illinois University Carbondale from 2016-2018. His academic journey includes completing his Ph.D. at the University of Alabama in 2015 under Professor Jeffrey Carver, followed by postdoctoral research with Dr. Danfeng Yao at Virginia Tech. His educational background reflects a strong foundation in software engineering research, with his doctoral work focusing on empirical approaches to software development practices. This foundation has enabled his current research trajectory examining human aspects of software engineering. Bosu's research program centers on empirical software engineering with particular emphasis on code review dynamics, toxicity detection in developer communications, and diversity issues in open source communities. His work bridges technical analysis with social science perspectives, investigating how communication patterns affect participation, especially regarding gender dynamics in OSS projects. Recent work increasingly incorporates natural language processing and machine learning techniques to build tools like ToxiCR for automated toxicity detection in code reviews. Analysis of his publication record reveals a clear evolution toward examining social dynamics in software development, with growing emphasis on gender bias, toxicity, and diversity issues. His research consistently applies empirical methods to understand real-world developer experiences while developing practical tools to improve code review processes and community health. His scientific recognition includes the prestigious NSF CAREER award (2024), NSF CRII award (2019), and Wayne State University's College of Engineering Research Excellence award (2025). He maintains senior membership status in both ACM and IEEE, reflecting his standing in the computing community. NSF CRII award (2019) NSF CAREER award (2024) College of Engineering Research Excellence award (2025) Senior Member of ACM Senior Member of IEEE Bosu actively contributes to the software engineering research community through service on program committees for major conferences including ICSE, ASE, ESEC/FSE, and ESEM. His GitHub presence (amiangshu.me) demonstrates active engagement with research tools and datasets, particularly those related to code review analysis and toxicity detection. While specific lab structure isn't detailed in the provided materials, his research group appears focused on empirical studies of software development practices with strong connections to industry through collaborations on projects like Chromium OS security analysis.

Maxim EgorovView profile

Professor

• Ethical leadership
• Leadership development
• Business Ethics
• +6 more

Dr. Maxim Egorov is a Professor for Responsible Leadership at Munich Business School and a postdoctoral fellow at the Leadership Excellence Institute Zeppelin (LEIZ) at Zeppelin University in Friedrichshafen and at the Department of Finance at the University of Zurich. He has extensive academic experience as a research associate, senior lecturer, leadership trainer, and executive coach at the TUM Executive Education Center, the University of St. Gallen, and other business schools. Dr. Egorov earned his doctorate from the Technical University of Munich (TUM) School of Management with a research focus on ethical leadership and leadership development. He also holds a degree in psychology from the University of Koblenz-Landau. Dr. Egorov's research focuses on ethical leadership, moral intuition, moral foundations, and ethically-oriented leadership development. His work explores how moral foundations congruence affects ethical and unethical leadership perception, the role of moral intuition in leadership development, and the application of virtual reality in leadership training. He has made significant contributions to the understanding of how values and ethics shape leadership in business and academic contexts through publications in leading journals like the Journal of Business Ethics and various encyclopedia entries. His diverse research portfolio spans theoretical investigations of moral psychology in leadership contexts and practical applications in business ethics and sustainable business practices. He has conducted notable survey research on German business leaders' values during digital transformation and explored innovative leadership development approaches using virtual reality technology. Dr. Egorov is also the editor of the journal "Developing Human Resources in Higher Education and Research." His work bridges academic research and practical application, as he also works as an independent consultant, executive coach, and trainer, supporting individuals, companies, and academic organizations in their development and transformation processes. He has considerable experience in the consulting sector, having worked as a partner and member of the management team at Manres AG. At Munich Business School, he teaches across Bachelor International Business, Master International Business, and MBA General Management programs with a focus on Responsible Leadership, Business Ethics and Sustainable Business, and Soft Skills and Personal Development.

• Cognitive Psychology
• Executive Control
• Volition
• +4 more

Professor Thomas Goschke is a full-time faculty member at Dresden University of Technology, where he holds the Chair of General Psychology within the Faculty of Mathematics and Natural Sciences. His research examines cognitive control mechanisms through interdisciplinary approaches. Research Focus: Goschke's work spans: Volitional dysfunctions in addiction and everyday behavior Neurocomputational modeling of cognitive control Dynamic interactions between executive functions Emotion-cognition interactions Implicit learning systems Grant Leadership: He has directed major DFG-funded initiatives including: Collaborative Research Center 940 (Volition and Cognitive Control) Priority Program on executive control mechanisms Transregio project on cognitive mediators of drinking behavior International Research Training Group on affective disorders His lab employs behavioral paradigms, neuroimaging, and computational modeling to investigate cognitive flexibility, intention shielding, and reward processing.

• Nursing Science
• Healthcare Workforce
• Person-Centered Care
• +7 more

Christoph Bräutigam is a Researcher at the Institute for Work and Technology (IAT) at Westphalian University of Applied Sciences, specializing in nursing science and healthcare work design. He has been working at the IAT since 2005, initially in health economics and quality of life research (2005-2016), and since 2017 in the research focus area of Work & Change. Bräutigam graduated in nursing science in 2001 after working as a nurse since 1989. His research interests span person- and human-centered work, professionalism in care, intra- and interprofessional cooperation, vocational training and skills development, and digitalization in healthcare settings. His work frequently addresses challenges in nursing workforce development, care for elderly migrants (particularly Turkish communities), and organizational transformations in healthcare. His recent publications (2021-2025) demonstrate a strong focus on qualification-heterogeneous nursing teams, digital transformation in hospitals, international nursing recruitment, and leadership development in care settings. The articles reveal a consistent theme of balancing technological innovation with human-centered work design, particularly examining how digital tools impact nurse workflows and patient care quality. Bräutigam is actively involved in multiple research projects including Lateral entry into care (QuerWege), Health-friendly work in outpatient care (GAB-EVAL), and the introduction of Primary Nursing systems. As a member of both the German Society for Nursing Science (DGP) and International Philosophy of Nursing Society (IPONS), he contributes to professional discourse in nursing science and healthcare work design. His research methodology often combines empirical studies with practical implementation, focusing on how work organization changes affect both healthcare professionals and patients. Recent work particularly emphasizes the need for differentiated approaches to care that recognize diversity in both care recipients and care providers.

OU-YANG HuiView profile

Professor

• Asset Pricing
• Corporate Finance
• Fixed Income
• +5 more

OU-YANG Hui serves as the Dean's Distinguished Chair Professor of Finance and Senior Associate Dean at Cheung Kong Graduate School of Business (CKGSB). With dual PhDs from UC Berkeley and Tulane University, he brings extensive academic expertise combined with significant industry experience from his roles as Managing Director at UBS, Lehman Brothers, and Nomura Securities where he led quantitative strategies teams. His educational background includes: PhD in Finance, University of California, Berkeley PhD in Chemical Physics, Tulane University Postdoctoral Training in Chemical Physics, California Institute of Technology (under Nobel Laureate Rudy Marcus) Professor Ou-Yang's research focuses on the development of asset pricing and corporate finance models, with particular expertise in Asset Pricing, Corporate Finance, Fixed Income, Integrated Models of Asset Pricing, Internet Finance, Moral Hazard, Quantitative Strategies and Research, and Risk Management . His work bridges theoretical finance with practical applications, often exploring how market participants process information and how this affects asset prices and trading strategies. A significant portion of his research examines the interaction between different types of market participants, information asymmetry, and how these factors influence market efficiency and price formation. His extensive publication record demonstrates a consistent focus on understanding market dynamics through rigorous quantitative approaches. His work spans theoretical modeling, empirical analysis, and practical applications in both traditional and emerging financial markets. Professor Ou-Yang has made significant contributions to understanding portfolio delegation, strategic trading, differences of opinion among market participants, and the application of continuous-time models to financial problems. His more recent work has increasingly focused on Chinese financial markets and the unique challenges and opportunities presented by China's economic development and financial innovation. Professor Ou-Yang has received numerous prestigious awards for his scholarly contributions: Barclays Global Investors/Michael Brennan Runner-Up Award for the best paper published in the Review of Financial Studies Outstanding Professor Award (Professor of the Year), Global Executive MBA, Fuqua Business School, Duke University (2004) The Society of Quantitative Analysts Award (2005 Western Finance Association Meetings) Third place award for the best paper at the 2004 China International Finance Association Meeting With his extensive industry experience as a managing director at major financial institutions, Professor Ou-Yang brings practical insights to his academic work and teaching. He has developed various structured products and trading strategies during his industry career, including "Hedging and Outperforming Inflations in China, Hong Kong, Korea, Malaysia, Singapore and Thailand," "Asset Allocation using Macro Signals," and "Relative Value Commodity Strategies." His industry experience informs his research on practical financial problems and enhances his ability to mentor students interested in both academic and industry careers in finance. While the text doesn't explicitly mention specific labs or research teams he leads at CKGSB, his role as Senior Associate Dean and Dean's Distinguished Chair Professor suggests he plays a significant leadership role in shaping the research direction of the finance faculty at CKGSB. His work on Chinese financial markets, internet finance, and the international expansion of Chinese companies indicates he likely oversees research initiatives focused on China's evolving financial landscape and its integration with global markets.