Find Academic Supervisors

• Cognitive Psychology
• Human-Computer Interaction
• Artificial Intelligence
• +7 more

Maria Wirzberger is a tenure-track Assistant Professor at the University of Stuttgart, Germany. She serves as spokesperson for the Stuttgart Research Focus “Interchange Forum for Reflecting on Intelligent Systems” (SRF IRIS), head of the Department of Teaching and Learning with Intelligent Systems, and co-director of the Artificial Intelligence Software Academy (AISA). Her research team operates within the Cyber Valley ecosystem, Europe’s largest AI research consortium. Her work sits at the interdisciplinary intersection of cognitive psychology, human-computer interaction, instructional design, and artificial intelligence. She employs experimental lab, field, and online studies alongside user-centered software development and modeling approaches to design responsible, user-adaptive assistive technologies. Initially focused on learning contexts, her research now extends to single-pilot operations, digital health, sustainable product development, and industrial robotics. Current projects investigate cognitive processes, user characteristics, and contextual factors through modeling human cognition (cognitive/connectionist approaches), advanced statistical analysis (multilevel models, time series, SEM), and multimodal cognitive load assessment (eye tracking, physiological measures, speech analysis). Key initiatives include designing adaptive assistive systems using predictive analytics, studying distraction/resumption patterns, supporting neurodiversity in HCI, and examining trust mechanisms and AI bias in human-AI interaction. Professor Wirzberger leads interdisciplinary collaborations through Cyber Valley and actively seeks research partners and students. Her leadership in the SRF IRIS forum and AISA demonstrates commitment to advancing responsible AI development while addressing critical human factors in emerging technical domains.

• 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

Stefan MünzerView profile

Professor

• Multimedia Learning
• Self-Regulated Learning
• Spatial Reasoning
• +2 more

Prof. Dr. Stefan Münzer leads the Chair of Educational Psychology at the Faculty of Social Sciences, University of Mannheim. His research focuses on multimedia learning , self-regulated learning , and spatial reasoning , with applications in teacher training and digital education. Collaborates with Dr. Benedict Fehringer on eye-tracking studies for spatial thinking Develops digital tools like the CoTutor system to enhance first-semester students' learning strategies Investigates aptitude-treatment interactions (APT), emotional content in education, and cognitive load optimization Their research includes experiments on animations vs. static visuals and partnerships with the Working Group on Profession and School Research. Team members include Hatice Dedetas, Samuel Wissel, and Dr. Benedict Fehringer.

Maria A. MartinView profile

Researcher

• Climate Change Modeling
• Glaciology
• Numerical Simulation
• +3 more

Dr. Maria A. Martin has been affiliated with the Potsdam Institute for Climate Impact Research (PIK) since 2008, initially as a doctoral student and later transitioning to a post-doctoral researcher. Since 2014, she has served as a Research Analyst within the Scientific Directors' Staff department. Her academic background includes a physics degree from the University of Potsdam and Université Pierre-et-Marie-Curie in Paris, where her doctoral thesis focused on synchronization in quantum-optical resonators. At PIK, she co-developed the Parallel Ice Sheet Model and conducted pioneering research on Antarctic ice-flow dynamics using numerical modeling techniques. Dr. Martin's research interests span climate modeling, glaciology, and environmental science, with a particular emphasis on understanding the mechanisms driving ice-sheet dynamics and their implications for sea-level rise. Her work integrates advanced computational models with observational data to address critical questions in climate science. Beyond technical contributions, she has engaged in science communication through initiatives like the children's podcast Pinselohr . Her professional network and collaborations are reflected in her participation in interdisciplinary projects at PIK, including contributions to policy advice and software development related to climate impact research. She holds an ORCID identifier (0000-0002-1443-0891) and maintains active involvement in academic discourse through peer-reviewed publications and institutional outreach activities.

Olaf DimigenView profile

Assistant Professor

• Visual Cognition
• Neuroscience
• Cognitive Psychology
• +3 more

Olaf Dimigen is a tenured Assistant Professor of Experimental Psychology at the University of Groningen, Netherlands. Previously, he held a visiting professorship for Biological Psychology at Humboldt University Berlin (2018-2022) and conducted research at the Max Planck Institute for Human Development. His research focuses on understanding how the brain integrates eye movements with visual perception and cognition, leveraging EEG/eye-tracking co-registration and advanced signal analysis techniques. Key affiliations: Faculty of Behavioural and Social Sciences, Department of Experimental Psychology Education: PhD in Psychology from Humboldt University Berlin (2014) Research interests include: Neural mechanisms of active vision Fixation-related potentials (FRPs) and microsaccade-related activity EEG artifact correction and deconvolution modeling Cross-linguistic reading processes Development of open-source analysis tools (EYE-EEG, UNFOLD, OPTICAT) Selected contributions: Pioneered methods for analyzing temporally overlapping EEG signals using deconvolution (UNFOLD toolbox) Optimized ICA-based ocular artifact removal for free viewing EEG (OPTICAT method) Discovered cognitive modulation of microsaccade-related potentials as attention markers His work bridges cognitive psychology, neuroscience, and computational methods, with applications in language processing, scene perception, and cultural neuroscience.

Manfred ReichertView profile

Professor

• Business Process Management (BPM)
• Service-Oriented Architectures
• E-health
• +7 more

Prof. Manfred Reichert is a full professor at the University of Ulm, serving as Director of the Institute of Databases and Information Systems and Dean of Studies at the Faculty of Engineering and Computer Science. He holds dual expertise in Computer Science and Mathematics, with academic leadership roles including chairing examination boards and strategic research initiatives. His interdisciplinary affiliations include co-opted membership in the Faculty of Mathematics and Economic Sciences. Reichert's research focuses on Business Process Management (BPM), IoT-driven processes, service-oriented architectures, and e-health applications. Notable contributions include co-developing the ADEPT process management system and pioneering object-centric process modeling. He has led over 20 international research projects (EU FP7, DFG, Industry) and authored >200 peer-reviewed papers, earning an h-index of 60+ and prestigious awards like the Merckle Forschungspreis. Education: PhD in Computer Science & Mathematics Diploma Leadership: Former associate professor at University of Twente, former director of CTIT research center Service: Conference chair for BPM, CoopIS, EDOC; steering committee member for GI SIG Databases Recent work explores IoT integration in BPM, generative AI for process models, and neuroscience-informed usability studies. His research bridges technical innovation with human-centric design, addressing challenges in process lifecycle management, federated learning, and mobile health interventions. Awards: IFIP TC2 Manfred Paul Award, doIT Software Award Key Projects: BPMN extensions for IoT, data-driven healthcare solutions

Simon VölkerView profile

Researcher

• Human-Computer Interaction (HCI)
• Ubiquitous Computing
• Touch Input Systems
• +5 more

Dr. Simon Völker is the Head of the Study Center Computer Science at RWTH Aachen University and an Affiliated Researcher at the Media Computing Group. He holds a Ph.D. (2016) and a Diploma (2010) in Computer Science from RWTH Aachen University. His research focuses on Human-Computer Interaction (HCI), including ubiquitous computing, touch input systems, interactive surfaces, and tangible user interfaces. He has coordinated roles in university governance, including leading the Examination Board for Computer Science and teaching courses like the Game Development Lab and Introduction to Computer Science. His work spans over 50 publications in top venues like CHI, UIST, and SUI, with notable awards such as the CHI 2018 Honorable Mention and ITS 2011 Best Note Award. He advises students on bachelor/master theses in HCI and contributes to innovations in AR, wearable interfaces, and educational tools like Flowboard. Key projects include GazeConduits (cross-device collaboration), Springlets (on-skin tactile interfaces), and FabricFaces (textile-3D hybrid fabrication). His work bridges academic research with practical applications in education, robotics, and manufacturing.

• Scientific Visualization
• Computer Graphics
• Virtual Reality
• +3 more

Guido Reina is a Senior Academic Councillor at the Visualization Institute of the University of Stuttgart (VISUS), affiliated with the Ertl Working Group. His research focuses on scientific visualization, computer graphics, and virtual reality, with a particular emphasis on rendering techniques for particle data, foveated visualization, and reproducibility in visualization workflows. His work spans interdisciplinary applications, including porous media analysis, energy-efficient rendering, and integration of visualizations into gaming consoles. He has contributed to frameworks like MegaMol and explored adaptive resolution scaling for high-performance 2D visualization. Guido is also a co-author of the EGPGV 2023 Best Paper Award. EGPGV 2023 Best Paper Award Guido collaborates with teams at VISUS and the University of Stuttgart, advancing immersive analytics and in situ visualization methodologies. His publications highlight the evolution of visualization research toward handling large-scale datasets, optimizing rendering pipelines, and enhancing user interaction in augmented/virtual reality environments.

• Statistics
• Applied Mathematics
• Systems Biology
• +2 more

Dr. Hannes Matuschek is a Researcher in the Department of Applied Mathematics at the University of Potsdam, Germany, with office space 2.09.1.24 and contact email hannes.matuschek@uni-potsdam.de. He actively participates in the institute's academic events including working group seminars and colloquia. Research Interests: His work spans Statistics, Applied Mathematics, Systems Biology, and Biomechanics. Key contributions include statistical methodology for linear mixed models (addressing Type I error/power tradeoffs and interaction effects), smoothing spline ANOVA for eye movement analysis in reading, stochastic modeling of gene regulatory networks, and vector field manipulations on spherical domains. His research bridges theoretical frameworks with applications in cognitive science, systems biology, and fraud detection. Publication Trends: His 12 publications (2012-2019) reveal a trajectory from computational systems biology (stochastic biochemical kinetics tools like iNA) toward statistical methodology development. Early work focused on noise approximation in gene networks, evolving into eye-tracking analysis and vector field mathematics, demonstrating consistent integration of advanced statistics with domain-specific challenges across biological and cognitive sciences. Scientific Awards: No awards were mentioned in the provided materials. Advising and Grants: No information was provided regarding student supervision, grant funding, or research collaborations. Labs and Teams: He operates within the Applied Mathematics research group at the University of Potsdam, contributing to seminars and events in analysis and interdisciplinary applications as evidenced by his institutional presence.

Mario NadjView profile

Professor

• Artificial Intelligence
• Information Systems
• Explainable AI
• +6 more

Mario Nadj is a full Professor holding the Chair for Information Systems and Artificial Intelligence (AI) in Marketing at the University of Duisburg-Essen's Faculty of Computer Science. Previously, he served as an assistant professor and chairholder for Business & Information Systems Engineering at TU Dortmund University and held two deputy professorships at the Karlsruhe Institute of Technology (KIT), where he was also head of the Intelligent Enterprise Systems department. Bachelor's degree in Information Systems from the University of Bamberg Master's degree in Finance and Information Management from Goethe University Frankfurt Doctorate from KIT with highest praise (summa cum laude) Professor Nadj's research spans the intersection of artificial intelligence, information systems, and cognitive science. His work primarily focuses on three interconnected areas: understanding information systems through AI and neuroscience tools, investigating explainability of AI decisions to open the 'black box,' and exploring effective human-AI interaction paradigms. His research integrates methods from neurophysiology and cognitive psychology to study workplace phenomena like flow states and cognitive load in knowledge workers. His publication portfolio shows a clear trend toward human-centered AI systems, with recent work emphasizing interactive explainable AI, physiological computing for flow detection, and human-in-the-loop machine learning systems. The research spans disciplines including information systems, human-computer interaction, cognitive psychology, and data science, with a strong emphasis on empirical validation through laboratory experiments and eye-tracking studies. Vinton G. Cerf Best Student Paper Award at the International Conference on Design Science Research in Information Systems and Technology (2025) Judges' Award for the Accessibility Challenge of the International Web for All Conference (2023) Best Demo Paper Award of the International Conference on Advanced Information Systems Engineering (2021) Business Intelligence Systems among the eleven best rated lectures at KIT Department of Economics and Management (WS 2020/2021) Teaching Award of the Hector School of Engineering & Management - 2nd Place (Intake 2019) Professor Nadj's research is supported by major German companies from the automotive and software industries. His work on interactive labeling systems, physiological computing for workplace flow, and explainable AI has attracted significant industry interest. He collaborates extensively with researchers across Europe, particularly with Alexander Maedche and colleagues at the University of Mannheim. His projects often bridge theoretical information systems research with practical applications in business intelligence, data science, and human-AI collaboration. His research group at Duisburg-Essen focuses on neuro information systems, combining traditional information systems research with neuroscience methodologies. The team has developed tools like brownieR, an R-package for neuro information systems research, and has conducted pioneering work on using EEG to detect flow states in knowledge workers. Current projects emphasize making AI systems more transparent and interactive while optimizing human-AI collaboration in business contexts.

Werner KönigView profile

Researcher

• User Experience (UX)
• Human-Computer Interaction (HCI)
• Digital Experience Design
• +5 more

Werner König is affiliated with the Interdisciplinary Center for Digital Experience Design (IZEd) at Worms University of Applied Sciences. His research focuses on User Experience (UX), Human-Computer Interaction (HCI), and immersive technologies. He leads projects such as the Immersive Flight Simulation platform, emergency response tools like the KESSEL project, and cultural storytelling apps ( SchUM , Experience Worms ). He has collaborated with institutions like the German Red Cross and 8devs GmbH, and his work is funded by organizations including the German Foundation for Engagement and Volunteering. Key projects include the development of mobile apps for aviation communication training, gamified heritage exploration, and AR-based training systems. He holds a European patent for Adaptive Pointing technology. König advises numerous students on topics ranging from eye-tracking systems for disabled users to AR applications. His research has been exhibited in venues like the ZKM in Karlsruhe (e.g., CloudBrowsing and Globorama ), blending art and technology. Awards include the European Patent EP2226707, recognizing innovations in adaptive input devices.

• Translation Technologies
• Machine Translation
• Post-editing Evaluation
• +4 more

Mihaela Vela is a Senior Lecturer at the Department of Language Science and Technology at Saarland University. Her research focuses on machine translation evaluation, post-editing strategies, and translation technologies. Prior to her academic role, she worked as a researcher at the Language Technology Lab of DFKI (2007–2011), contributing to projects like ontology schema extraction from financial news. She holds a PhD in Computational Linguistics (2011) from Saarland University, supervised by Hans Uszkoreit and Thierry Declerck, and a Licentiate degree in Linguistics from West University of Timisoara. Her teaching portfolio includes courses such as Translation and Content Management , Applied Language Technologies , and Machine Translation , reflecting her expertise in integrating computational methods with translation practice. She has developed tools like TeLeMaCo (a collaborative teaching repository) and Catalog (a post-editing interface). Her work emphasizes improving translation workflows through better CAT tool design, metadata preservation, and cognitive load analysis in post-editing tasks. Key contributions include the SubCo corpus of learner translations and studies on post-editing effort in low-resource languages. Her research bridges theoretical linguistics with practical applications, addressing challenges in legal text classification, parliamentary discourse analysis, and neural post-editing systems.

• Virtual Reality
• Human-Computer Interaction
• Affective Computing
• +4 more

Matias Volonte is a researcher affiliated with Northeastern University , Boston, MA, USA, focusing on virtual reality, human-computer interaction, and affective computing. His work investigates visual attention, emotion contagion, and behavioral modeling in VR environments. Key research areas: Virtual Human behavior, gaze analysis, user perception, and AI-driven interactions Collaborates with experts like Andrew T. Duchowski, Sabarish V. Babu, and Deyrel Diaz Research Trends : Recent publications (2025-2018) emphasize VR-based studies on embodied agents, including path modeling of attention , demographic bias evaluation , and emotional contagion in digital crowds . His work spans healthcare applications, educational AI, and cognitive modeling in immersive environments. Notable Contributions : Co-developed the HeadBox toolkit for facial blendshape animation in VR and explored trust dynamics with AI instructors. He also contributes to standardization of gaze analysis and multimodal interaction frameworks.

Daniel SonntagView profile

Professor

• Intelligent User Interfaces
• Natural Language Processing
• Information Retrieval
• +7 more

Prof. Dr.-Ing. Daniel Sonntag serves as Scientific Director of Interactive Machine Learning at the German Research Center for Artificial Intelligence (DFKI) and holds an Endowed Chair of Applied Artificial Intelligence at University of Oldenburg. He leads multiple significant research initiatives including No-IDLE (Interactive Deep Learning Enterprise), MASTER (Mixed reality ecosystem for teaching robotics), Ophthalmo-AI (intelligent eye care diagnostics), pAItient (AI applications in medicine), and XAINES (explainable AI with narratives). His research spans intelligent user interfaces, natural language processing, information retrieval, dialogue systems, common-sense modeling, and explainable machine learning methods for cognitive computing. His work particularly focuses on multimodal-multisensor interfaces for medical and health systems and Industry 4.0 applications. His research has had industrial impact, with SmartWeb's multimodal interaction design forming the technical infrastructure for Apple's Siri. His recent publications demonstrate strong trends in medical AI applications, particularly in eye tracking, radiology report generation with enhanced interpretability, and interactive federated learning frameworks. His work consistently bridges theoretical AI advances with practical medical and industrial applications. German High Tech Champion Award (2011) As a principal investigator, Sonntag leads national and European projects funded by the Federal Ministry of Education and Research, Federal Ministry for Economic Affairs and Energy, Federal Ministry of Health, and Horizon Europe. He has supervised numerous researchers including Michael Barz, Jan Zacharias, and Alexander Prange across multiple projects. His research group has successfully transitioned technologies to industry, with former researchers joining companies like Apple, Wacom, and Semvox. Sonntag's laboratory work centers on the Interactive Machine Learning department at DFKI, with strong connections to medical institutions and industry partners. His team develops cognitive assistance systems, mixed reality applications for smart factories, and AI-based diagnostic support tools, particularly in ophthalmology and radiology.

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +12 more

Enes Yigitbas is a researcher at the University of Paderborn, Germany, affiliated with the Department of Computer Science within the Faculty of Computer Science, Electrical Engineering and Mathematics. His research focuses on human-computer interaction, augmented and virtual reality, model-driven engineering, and self-adaptive user interfaces. Research Interests: Human-Computer Interaction (HCI) Augmented and Virtual Reality (AR/VR) Model-Driven Development Self-Adaptive and Context-Aware UIs Usability Evaluation Digital Twins End-User Development Gamification in Education Collaborative Software Modeling The recent publications (2024–2025) demonstrate a strong trend toward applying AR/VR in education, industrial training, healthcare, and software engineering. His work often integrates model-driven approaches with immersive technologies, focusing on usability, collaboration, and adaptation. He has contributed to frameworks for AR-assisted robot programming, VR training environments, and privacy-aware collaborative AR systems. Scientific Awards: No awards listed in the provided text. Advising and Grants: No explicit information about students or advisees. No direct mention of grants, but active research output suggests involvement in funded projects, likely within collaborative German or EU initiatives. Labs and Teams: Enes Yigitbas is part of a strong research group at the University of Paderborn, collaborating closely with Prof. Gregor Engels, Stefan Sauer, and others. His work is often associated with software engineering, modeling, and interactive systems research teams, contributing to tools like ProConAR and VREUD.