Find Academic Supervisors

• Information Systems
• Human-AI Collaboration
• Explainable AI
• +9 more

Philipp Toussaint is a PhD student in Information Systems at the Karlsruhe Institute of Technology (KIT) and an affiliated researcher at the Chair of Information Infrastructures at the Technical University of Munich (TUM). He is part of the Helmholtz Information & Data Science School for Health (Heidelberg) and affiliated with the German Cancer Research Center (DKFZ). His research spans behavioral and design-oriented methods in information systems, integrating medical informatics and computer science. Education: Bachelor's and Master's in Information Systems from the University of Cologne (2016–2020). Work Experience: Research associate at KIT (2020–present), research assistant at KIT and University of Kassel (2017–2020). Research Interests include human-AI collaboration, explainable AI (XAI), healthcare IT, gamification in AI evaluation, and blockchain applications in genomics. His current project , 'XAI-Omics,' applies XAI to life science data analysis. Recent Publications focus on privacy trade-offs in genetic data sharing, gamification for AI evaluation, and blockchain in genomics. His work has appeared in top journals like Briefings in Bioinformatics and Journal of the American Medical Informatics Association . Scientific Awards: Best Paper Nomination (HICSS 2024), Dean's Award (University of Cologne, 2019). Academic Services include reviewing roles for journals/conferences (THCI, HPT, ECIS, etc.). He has delivered invited talks on XAI in clinical decision support systems (Nov. 2024).

Maximilian AltmeyerView profile

Professor

• Human-Computer Interaction
• User Experience (UX)
• Player Experience (PX)
• +6 more

Prof. Dr. Maximilian Altmeyer is a faculty member at Saarland University of Applied Sciences , where he serves as Professor of Web Development and Mobile Applications Engineering. His research focuses on Human-Computer Interaction, User Experience (UX), Player Experience (PX), Gamification, and Digital Health. Head of Interaction Experience Group Member of Faculty Council Deputy Head of Production Informatics His teaching includes courses on Web Development , Game Development , and Interactive Systems . He supervises B.Sc. and M.Sc. theses on gamification topics and collaborates with research institutions like centigrade. Research Trends : Recent publications examine personalized gamification in fitness applications, user-created gamification systems, and behavioral interventions through interactive technologies. Key areas include Hexad user type analysis, health behavior modification, and live-streaming UX. Special Recognition at CHI PLAY 2020 Special Recognition at CHI PLAY 2019 Special Recognition at CHI PLAY 2022 He advises on ongoing theses about gamified meditation and customization vs. personalization , while serving as committee member for conferences like CHI, MobileHCI, and IEEE VR.

• Digital Humanities
• Computational Humanities
• Text Mining
• +10 more

Manuel Burghardt is a full-time Professor of Computational Humanities at the Institute of Computer Science , Leipzig University . He coordinates the Bachelor's and Master's programs in Digital Humanities and serves as a spokesperson for the GI's Computer Science and Digital Humanities Group and the Forum for Digital Humanities Leipzig . PhD in Information Science (summa cum laude) from University of Regensburg Magisterstudium in Information Science, English Linguistics, General Linguistics, and Corpus Linguistics at University of Regensburg Burghardt's research spans multiple Computational Humanities domains: Digital Environmental Humanities : Integrating Computational Literary Studies with Biodiversity Research via NLP and Information Retrieval Immersive Humanities : Applying AR/VR/XR, Eye Tracking, and Tangible Interfaces for Digital Humanities Text Mining & NLP : Focused on text reuse detection, similarity analysis, and sentiment modeling Video Analytics : Analyzing news videos and cinematic media through Distant Viewing techniques Theory of Digital Humanities : Investigating methodological foundations and scientometric trends Computational Game Studies : Multimodal empirical analysis of games Computational Spatial Humanities : Spatial data analysis in humanities contexts His recent publications demonstrate strong focus on: Improving OCR for historical documents (2015-2020) Computational drama analysis using sentiment and text mining techniques (2016-2019) Music information retrieval applications in folk song and manuscript analysis (2015-2019) Development of specialized tools for humanities data processing

Joachim BaumeisterView profile

Professor

• Semantic Information Systems
• Knowledge Graphs
• Deep Learning
• +5 more

Joachim Baumeister is a Professor at the Chair of Computer Science VI - Artificial Intelligence and Knowledge Systems within the Institute of Computer Science at the University of Würzburg's Faculty of Mathematics and Computer Science. While his primary employment since September 2010 has been at denkbares GmbH, a company specializing in knowledge-based systems, he continues to regularly give lectures at the university. His research focuses on Semantic Information Systems, Knowledge Graphs, Deep Learning applications, Natural Language Processing, and Knowledge-based Configuration for Industry 4.0. Professor Baumeister's work bridges theoretical AI research with practical industry applications, particularly in knowledge-based configuration systems and semantic technologies. His recent publications (2020-2024) reveal a strong emphasis on product configuration systems, semantic knowledge representation, regulatory document processing, and knowledge-based systems. His research has evolved from foundational work on semantic wikis and knowledge engineering to more recent applications involving deep learning and large language models, demonstrating adaptability to emerging technologies while maintaining focus on practical knowledge representation problems. Professor Baumeister's work demonstrates significant contributions to case-based reasoning, knowledge configuration, and semantic technologies, with applications spanning regulatory compliance, industrial configuration systems, and document processing. His current research areas include: Semantic Information Systems and Knowledge Graphs Deep Learning for Image Recognition and Language Understanding Knowledge-based Configuration for Industry 4.0 Natural Language Processing Intelligent Personal Assistants and Chat Bots Though specific students aren't listed in the provided information, Professor Baumeister actively invites students to contact him regarding projects, bachelor theses, and master theses in his areas of expertise. His work at denkbares GmbH focuses on the design, implementation, and evolution of knowledge-based systems and semantic information systems.

Benjamin C. PierceView profile

Professor

• Programming Languages
• Type Systems
• Language-based Security
• +5 more

Benjamin C. Pierce is the Henry Salvatori Professor of Computer and Information Science in the School of Engineering and Applied Science at the University of Pennsylvania. As a Fellow of the ACM, he has made significant contributions to programming language theory and formal methods. His academic leadership includes previous editorial roles as co-Editor in Chief of the Journal of Functional Programming and Managing Editor for Logical Methods in Computer Science. His research spans multiple interconnected domains in programming language theory, with particular emphasis on type systems and their applications to security and verification. Pierce's work bridges theoretical foundations with practical implementations, most notably through his development of the Unison file synchronization tool and contributions to the Clowdr virtual conference platform. His research interests form a cohesive trajectory from foundational type theory to applied security and verification techniques. Pierce's scholarly output shows consistent focus on property-based testing, type systems, and formal verification methods. His recent publications demonstrate evolving interests in differential privacy verification, synchronization technologies, and the practical challenges of implementing formal methods in real-world systems. The progression of his work reflects both theoretical depth and practical relevance to software development challenges. Fellow of the ACM Author of influential textbooks Types and Programming Languages and Software Foundations Lead designer of the Unison file synchronizer Co-developer of the Clowdr virtual conference platform Former editorial leadership for multiple prominent programming languages journals As an educator and mentor, Pierce has contributed to the Programming Languages Mentoring Workshop (PLMW) and has served on numerous conference program committees. His academic service extends to SIGPLAN leadership roles including SIGPLAN Vice Chair and Steering Committee membership. His textbook Software Foundations has become a standard resource for teaching formal methods and proof assistants.

• Artificial Intelligence
• Human-Machine Interaction
• Cognitive Science
• +3 more

Ali Alhosseini is a Research Fellow at the Center for Humans and Machines , affiliated with the Max Planck Institute for Human Development in Berlin. His work focuses on the intersection of artificial intelligence, cognitive science, and human-machine interaction. Research Interests: His research spans disciplines such as Artificial Intelligence Human-Machine Interaction Computational Neuroscience Data Science These interests align with the Center's mission to explore the dynamics between humans and machines in evolving technological landscapes. Contact: He can be reached at alhosseini@mpib-berlin.mpg.de .

Aljaž BožičView profile

Researcher

• Computer Vision
• Computer Graphics
• Artificial Intelligence
• +7 more

Aljaž Božič is a Research Scientist at Meta Reality Labs Research , focusing on neural rendering, 3D reconstruction, and AI-driven geometry modeling. He earned his Ph.D. in Computer Science from the Technical University of Munich (TUM) and holds a Master's in Computer Science from TUM and a Bachelor's in Mathematics from the University of Ljubljana . His research spans computer vision, graphics, and artificial intelligence , with a focus on neural rendering , generative AI , and 3D deformable object modeling , targeting applications in VR/AR and robotics. His work includes time-consistent dynamic scene reconstruction (SceNeRFlow), volumetric hair appearance modeling, and high-fidelity walkable VR spaces (VR-NeRF), alongside efficient NeRF distillation and calibration methods (Neural Lens Modeling). Key article trends include Transformer-based monocular reconstruction (TransformerFusion), neural parametric shape models (NPMs), and self-supervised non-rigid tracking (Neural Deformation Graphs). He has contributed to open-source projects like the TransformerFusion GitHub repository , emphasizing MIT-licensed tools for scene reconstruction. At TUM, he served as a Teaching Assistant for courses such as 3D Scanning and Spatial Learning and 3D Vision Seminar , bridging academic instruction with research innovation. His work integrates advanced neural networks with practical optimization techniques, advancing fields like RGB-D reconstruction (DeepDeform) and variational SLAM.

• Human-robot interaction
• Motion planning
• Data analysis for user-centered product development
• +1 more

Dr.-Ing. Jakob Reinhardt is a postdoctoral researcher at the Chair of Ergonomics (Technical University of Munich) since May 2025, leading the Robotics for Life and Healthcare research group. His interdisciplinary work bridges robotics and medical technology. Human-robot interaction Motion planning Data analysis for user-centered product development Robotics in medical applications His research focuses on developing legible robot movements through data-driven methods, analyzing emergency service device usage, and enhancing user trust in autonomous systems. Publications span robotics, psychology, and ergonomics , addressing topics like motion identity and cooperative automation in transportation. He mentors students in human factors engineering and engages in dynamic mock-up lab projects.

Leonardo BanhView profile

Researcher

• Generative AI
• Artificial Intelligence
• Machine Learning
• +6 more

Leonardo Banh is a Researcher at the University of Duisburg-Essen within the Faculty of Computer Science and its Chair of Business Information Systems and Software Engineering . M.Sc. in Business Information Systems (University of Duisburg-Essen, 2022) B.Sc. in Business Information Systems (University of Duisburg-Essen, 2020) Semester abroad at Instituto Superior Técnico, Lisbon (2021) His research focuses on Generative AI and its socio-technical implications, particularly in Machine Learning and Deep Learning applications. He explores intersections with NeuroIS , Smart Tourism , and E-commerce Ecosystems , emphasizing sustainability and digital transformation. Recent publications analyze Generative AI in Software Engineering , AI in Music Sentiment Analysis , and AI-Based Sign Language Translation . His work often involves design science research and grounded theory frameworks. Best Paper in Track Award (ICIS 2024) Nominated for Best Paper Award (ICIS 2024) Outstanding Reviewer (ICIS 2024) As advisor, he supervises theses on topics including AI-Based Mental Health Chatbots , Generative AI in HR , and Smart Tourism Applications . He also contributes to the Institute of Computer Science and Information Systems and serves on appointment/habilitation committees.

Michael HarrView profile

Researcher

• Artificial Intelligence
• Recruiting
• Digitalization and digital Transformation of Human Resource Management
• +4 more

Michael Harr is a doctoral researcher and research assistant at the University of Duisburg-Essen, affiliated with the Faculty of Computer Science and the Chair of Business Informatics and Integrated Information Systems. His work focuses on artificial intelligence, digital transformation of HR management, enterprise systems, new work arrangements, and digital communication. He has published extensively on these topics in leading journals and conferences. Education: M.Sc. in Business Information Systems (2020-2023), University of Duisburg-Essen B.Sc. in Business Information Systems (2016-2020), University of Duisburg-Essen His research explores the intersection of AI and human-centric systems, including studies on retail service robots, intelligent HRIS, generative AI in MOOCs, and user annoyances in voice assistants. Recent publications analyze digital communication trends and digitalization challenges in the construction sector. Publications: Harr has contributed to key areas such as retail automation, HRIS optimization, and AI-driven e-learning, with a focus on practical applications and theoretical frameworks. Supervised Theses: Exploring ChatGPT for MOOCs AI in Knowledge Management Technostress and Quiet Quitting Taxonomy of AI Recruitment Tools Talent Recruitment on Social Networks Labs and Teams: Harr is involved in the Retail Artificial Intelligence Lab (retAIL) and SAP Innovation Lab, contributing to projects on digital transformation and enterprise systems.

• Intelligent Information Systems
• Human-Centered & Generative AI
• Internet of Things (IoT) & Smart Services
• +4 more

Gero Strobel is an Assistant Professor at the Chair of Business Informatics and Software Engineering, Faculty of Computer Science, University of Duisburg-Essen. His research focuses on intelligent information systems, generative AI, and IoT-enabled smart services with applications in sustainability, healthcare, and industrial transformation. Academic Roles: Assistant Professor (2022–present), Postdoctoral Researcher (2021), Research Assistant (2017–2021) Key Research Areas: Generative AI, Smart Service Systems, E-commerce Ecosystems, Digital Health, Sustainable Business Models His work develops design principles for VR training systems, AI healthcare communication, and smart agriculture architectures. He leads the SOFTEC IoT Innovation Lab and contributes to data ecosystems research as guest editor of Electronic Markets (2024 special issue). Scientific Recognition: 2021 Science Prize of Sparkasse Essen 2021 University of Duisburg-Essen Dissertation Prize Best Paper in Track Award at ICIS 2021 Strobel co-edits the Electronic Markets special issue on data ecosystems (2024) and serves as track chair for data ecosystems at HICSS and AMCIS. His research combines design science methodology with empirical studies across 135+ e-commerce initiatives, 100+ AI startup analyses, and 183 IoT architectures.

• Cognitive Psychology
• Human-Computer Interaction
• Applied Cognitive Science
• +1 more

Eva Gößwein serves as a Researcher at the Department of General Psychology: Cognition within the Department of Human-Centered Computing and Cognitive Science at the Faculty of Computer Science, University of Duisburg-Essen, Germany. Her role focuses on interdisciplinary research bridging cognitive science and computational systems. Her academic qualifications include: 2022: M.Sc. in Applied Cognitive and Media Science from University of Duisburg-Essen 2018: BA in Instructional, Learning, and Training Psychology from University of Erfurt 2014: BA in Political Science from Technical University of Dresden Her research centers on cognitive processes in technology-mediated environments, with emphasis on human-computer interaction frameworks, cognitive modeling for media applications, and empirical studies of user cognition. This work integrates experimental psychology methodologies with computational approaches to analyze how individuals process information through digital interfaces, contributing to adaptive system design and cognitive ergonomics. No scientific awards were documented in available sources. Current information does not indicate active student supervision or external grant management. Her research operates within the departmental structure under Prof. Dr. Matthias Brand's leadership, with no separate laboratory or team affiliations specified beyond her departmental role.

Dirk EversView profile

Professor

• Protestant Dogmatics
• Theology and Natural Sciences
• Philosophy of Religion
• +5 more

Prof. Dr. Dirk Evers is a Professor of Systematic Theology/Dogmatics at the Theological Faculty of Martin Luther University Halle-Wittenberg since 2010. He previously served as Dean of the Theological Faculty from 2016-2018 and as President of the European Society for the Study of Science and Theology (ESSSAT) from 2014-2022. He also holds a research associate position at the University of Pretoria, South Africa. Evers is Managing Editor of the journal "Philosophy, Theology and the Sciences" and has edited numerous book series on science and religion. His educational background includes theological studies in Münster, Tübingen, and Madurai (South India) from 1983-1989, followed by pastoral training and service in the Württemberg Regional Church. He earned his doctorate in 1999 (awarded the ESSSAT prize in 2002) and completed his habilitation in Systematic Theology in 2005. Prof. Evers' research focuses on Protestant Dogmatics, the relationship between Theology and Natural Sciences (particularly cosmology, evolution theory, brain research, and physics), Philosophy of Religion (with emphasis on Leibniz, Kant, analytic philosophy, and modal logic), and Hermeneutical Theology. His work bridges theological inquiry with scientific understanding, exploring how contemporary scientific discoveries interact with traditional theological concepts. He has made significant contributions to discussions on creation theology, human identity, and the dialogue between science and religion. His recent publications demonstrate a consistent engagement with the interface of theology and science, addressing topics from artificial intelligence and dataism to resurrection theology and human identity. Evers approaches these subjects with a hermeneutical perspective that values both scientific rigor and theological depth. Among his notable awards are the ESSSAT prize in 2002 and the Bad Herrenalber Academy Prize in 2009. He is also active in numerous academic societies including the Wissenschaftliche Gesellschaft für Theologie (serving as Chair of the Systematic Theology section from 2021-2024), the International Society for Science & Religion, and the Gottfried Wilhelm Leibniz Society. Prof. Evers serves as a liaison professor for the German Academic Scholarship Foundation and is a deputy member of the Ethics Commission of Saxony-Anhalt. His editorial work includes serving on the boards of "Zygon: Journal of Religion & Science" and the book series "Studien zur Interdisziplinären Anthropologie."

Maysa ItoView profile

Researcher

• Marine Ecology
• Ecosystem Modeling
• Climate Change Impact
• +3 more

Maysa Ito is a postdoctoral researcher at the GEOMAR Helmholtz Centre for Ocean Research Kiel (Germany) since 2022, affiliated with the Marine Evolutionary Ecology - Ecosystem Modelling Working Group . She previously worked at Ifremer Channel and North Sea (France, 2020-2021). Education: Ph.D. in Biological Oceanography (GEOMAR, 2020), M.Sc. in Ecohydrology (Erasmus Mundus, 2014), B.Sc. in Marine Biology (Brazil, 2008). Her research integrates experimental and computational approaches to study global change impacts on marine biodiversity and ecosystem functioning. Key areas include climate change effects on ecological interactions and human activity impacts on marine food webs. Current projects include BMBF DAM sustainMare iSeal (2022–present) and the MARCO project (2020–2021). Recent publications focus on marine heatwaves , temperature variability effects , and ecosystem modeling , spanning journals like Philosophical Transactions of the Royal Society B and Global Change Biology .

Filipp SchmidtView profile

Research Fellow

• Visual Perception
• Cognitive Psychology
• Material Recognition
• +2 more

Filipp Schmidt is a Post-Doctoral Research Fellow at the Department of General Psychology within the Department 06 Psychology and Sports Science of Justus-Liebig-Universität Gießen. His research focuses on visual perception and cognition, particularly how humans integrate perceptive features into unified environmental representations through computer graphics, psychophysics, and modeling. PhD from Technische Universität Kaiserslautern (2014) Diploma in Psychology from Justus-Liebig-Universität Gießen (2009) Research interests span material recognition, shape transformations, and perceptual organization of naturalistic materials. Current projects combine behavioral experiments, machine learning, and fMRI to decode material categorization hierarchies and visual-semantic interactions. Recent publications analyze wood material perception (2023), gloss prediction (2024), animacy inference from shape (2017), and one-shot generalization via drawing tasks (2022). Collaborates with Prof. Roland W. Fleming on DFG-funded project C1. Email: Filipp.Schmidt@psychol.uni-giessen.de Advises PhD students Henning Tiedemann and Emily A-Izzeddin. Uses big data approaches to train machine learning models for material properties.