Find Academic Supervisors

Constantin A. RothkopfView profile

Professor

• Perception and Action
• Computational Neuroscience
• Machine Learning
• +3 more

Prof. Constantin A. Rothkopf is a W3 Professor at the Department of Psychology, Technische Universität Darmstadt, and a secondary member of the Department of Computer Science. He serves as Founding Director of the Centre for Cognitive Science and founding member of the Hessisches Zentrum für Künstliche Intelligenz (hessian.ai). He is also part of the European Laboratory for Learning and Intelligent Systems (ELLIS) and the DAAD Konrad Zuse Schools of Excellence in Artificial Intelligence (ELIZA). His research focuses on the interplay between perception and action, using computational models and experimental studies in humans. Current work includes eye-tracking studies in naturalistic environments, inverse optimal control models, and developing algorithms for virtual agents. Education: Ph.D. in Neuroscience and Informatics from the University of Rochester, followed by postdoctoral research at Frankfurt Institute for Advanced Studies (FIAS). He has held visiting professorships at Central European University (2017) and Columbia University (2023). Awards include an ERC Consolidator Grant (2022) and SCENE Project Funding (2025). Research Interests: Active vision, decision-making under uncertainty, sensorimotor control, and computational modeling. Key themes include how humans use sensory input to form beliefs, make decisions, and act in dynamic environments. Grants/Awards: ERC Consolidator Grant (2022), SCENE Funding (2025) Labs/Teams: Centre for Cognitive Science, hessian.ai, ELLIS Unit Darmstadt

Oliver StaadtView profile

Professor

• Virtual Reality
• Augmented Reality
• Computer Graphics
• +7 more

Prof. Dr. sc. techn. ETH Oliver Staadt is Full Professor of Computer Science and Chair of Visual Computing at the University of Rostock , Germany. Since 2023 he also serves as Director of the Institute for Visual and Analytic Computing within the Faculty of Computer Science and Electrical Engineering . Previously he was Dean (2016–2018) and Vice Dean (2010–2016) of the same faculty. Education Ph.D. in Computer Science, ETH Zürich (2001) M.Sc. in Computer Science, TU Darmstadt (1994) Research Interests Prof. Staadt’s research spans virtual and augmented reality , computer graphics , visualization , telepresence , immersive analytics , and human–computer interaction . A particular focus lies on real-time rendering and display technologies for large high-resolution display systems, depth-image enhancement for RGB-D sensors, and interaction techniques that leverage spatial cognition and eye-tracking. His work is frequently applied to collaborative settings and microgravity environments, including experiments aboard parabolic flights and the International Space Station. Recent Publication Trends Between 2019 and 2021 his output centers on foveated rendering , AR viewpoint guidance , collaborative analytics on wall-sized displays , and embodied interaction metaphors . Earlier work addressed bandwidth-efficient telepresence, depth-image filtering, and physically-based animation. The corpus reveals a steady evolution from fundamental graphics algorithms toward applied immersive systems. Scientific Awards & Honors Fellow of the Eurographics Association Associate Editor, IEEE Transactions on Visualization and Computer Graphics (past) Associate Editor, Computers & Graphics (past) Associate Editor, Computer Animation and Virtual Worlds (past) Associate Editor, Frontiers in Virtual Reality (current) Chair, Expert Group on Virtual & Augmented Reality, German Informatics Society (2013–2020) Advising & Funding He has successfully supervised more than ten PhD graduates whose dissertations range from collision detection and physically-based animation to 3D interaction in microgravity and predictive user modeling. Current PhD researchers include Bipul Mohanto, Mana Takhsha, and Sven Kluge. His projects are supported by national and EU programs such as EVOCATION, SMOOTH, ARGuide, 3DPick, DIVA, and Telepresence. Labs & Teams Prof. Staadt leads the Visual Computing Group at Rostock, operating state-of-the-art facilities including large tiled display walls, VR/AR laboratories, and motion-capture systems. The institute hosts interdisciplinary collaborations with partners in visualization, computer vision, psychology, and aerospace engineering.

• Eye-tracking
• Virtual Reality
• Extended Reality (XR)
• +7 more

Eakta Jain is an Associate Professor in the Department of Computer & Information Science & Engineering at the University of Florida's College of Engineering. Her research centers on human-computer interaction with a specialized focus on eye-tracking technologies, virtual reality, and privacy-preserving techniques in immersive environments. With over 15 years of sustained academic contributions, she has established herself as a leading researcher in gaze analysis and its applications across multiple domains. Dr. Jain's research interests span eye-tracking, virtual reality, extended reality (XR), privacy in immersive technologies, human-computer interaction, computer vision, and animation. Her work demonstrates a consistent trajectory from fundamental gaze analysis techniques to practical applications addressing critical privacy concerns in emerging technologies. She has made significant contributions to understanding how gaze data can be used to enhance user experience while simultaneously developing methods to protect user privacy in these systems. Analysis of her recent publications reveals a strong focus on privacy challenges in XR environments, with particular attention to gaze data protection, face-swapping technologies, and the psychological impacts of continuous monitoring. Her research bridges theoretical insights with practical implementations, often resulting in novel algorithms and frameworks that address real-world problems in immersive technologies. The interdisciplinary nature of her work connects computer science with cognitive psychology and human factors research. Dr. Jain has received recognition through publications in top-tier venues including IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Applied Perception, and the Symposium on Eye Tracking Research and Applications. Her work has been influential in shaping the discourse around privacy in immersive environments and has practical implications for the development of ethical XR systems. She actively mentors students and collaborators, with several junior researchers appearing as co-authors on her publications. Her research group appears to focus on the intersection of computer vision, graphics, and human-centered computing, with projects spanning from fundamental gaze analysis to applied privacy-preserving techniques in commercial VR systems. Current projects suggest strong industry connections and potential grant funding supporting her privacy-focused XR research.

• Information visualization
• Visual analytics
• Eye tracking
• +10 more

Tanja Blascheck is a PostDoc Researcher and Margarete von Wrangell Fellow at the Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart. Her work focuses on visual analytics , eye tracking , and microvisualizations for smartwatches and other wearable devices.

• Data Visualization
• Immersive Analytics
• Human-Computer Interaction
• +3 more

Sarah Goodwin is an academic affiliated with Monash University in Australia, specializing in data visualization, immersive analytics, and human-computer interaction. She holds a PhD in Visualisation for Household Energy Analysis from City University London (2015). Her research focuses on developing innovative visualization techniques for complex data, particularly in energy systems, healthcare, and geographic information. Key contributions include the Australian Cancer Atlas project (2024), which addressed geostatistical uncertainty visualization, and work on mixed-reality technologies embedding human values (2025). She collaborates extensively with researchers like Tim Dwyer and leads the Data Visualisation and Immersive Analytics Research Lab at Monash. Her publications span journals like IEEE Transactions on Visualization and Computer Graphics and conferences such as CHI and IEEE VAST. Research highlights include gaze analytics tools (VETA), tangible immersive systems (Uplift), and energy consumption visualization frameworks.

Judith JosupeitView profile

Lecturer

• Interindividual Differences in Experiencing Telepresence
• Eye Tracking in Virtual Reality
• Learning and Teaching with Digital Media
• +1 more

Judith Josupeit (Dr. rer. nat.) is a Lecturer at the Faculty of Psychology, Technische Universität Dresden, Germany. She specializes in human factors research within virtual reality environments, focusing on interindividual differences in cybersickness susceptibility and physiological indicators of VR-induced discomfort.

• Biomedical Engineering
• Medical Statistics
• Ophthalmology
• +3 more

Prof. Konstantin Kotliar is a Professor at Aachen University of Applied Sciences, specializing in Biomedical Engineering and Medical Statistics. He teaches courses in Mathematics, Advanced Medical Statistics, and Space Physiology. His research focuses on retinal vessel analysis to study microvascular dysfunction in diseases such as Fabry disease, diabetes, and Alzheimer’s. Kotliar’s work bridges ophthalmology, neuroscience, and cardiovascular science, with a particular interest in developing non-invasive diagnostic tools for early disease detection. His studies often involve collaborations with global health initiatives and clinical trials, such as the EndoAfrica-NWU Study. He has contributed to understanding neurovascular coupling mechanisms and their implications for neurological disorders. Research interests include retinal vessel dynamics, cardiovascular risk stratification, and the application of statistical methods in medical diagnostics. Kotliar’s methodologies span from biomechanical modeling to machine learning-driven image analysis, emphasizing translational research with clinical relevance. His work has implications for improving therapies and preventive measures in chronic diseases.

• Robotics
• Industrial Automation
• Control Systems
• +6 more

Petter Falkman is a researcher at Chalmers University of Technology, specializing in robotics, industrial automation, and control systems. His work bridges theoretical advancements with practical applications in manufacturing, leveraging technologies like digital twins, eye tracking, and virtual reality. Key Research Areas: Robotics, Industrial Automation, Control Systems, Digital Twins, Human-Computer Interaction, Machine Learning. Collaborations: Frequently works with Bengt Lennartson, Kristofer Bengtsson, Martin Dahl, and colleagues across institutions. Publication Trends: Recent articles focus on gaze-based human intention prediction, ROS2 control architectures, and compositional automated planning. His work integrates machine learning with industrial control systems, emphasizing event-driven design and virtual commissioning. Methodologies: Develops frameworks like EPypes for data pipelines, contributes to STEP AP214 model generation, and explores energy optimization in multi-robot systems.

Fumihiro KanoView profile

Researcher

• Comparative Psychology
• Animal Cognition
• Social Intelligence
• +4 more

Fumihiro Kano is a comparative psychologist at the Centre for the Advanced Study of Collective Behavior, University of Konstanz, and an Affiliated Scientist at the Max Planck Institute of Animal Behavior. His research focuses on the evolutionary origins of social intelligence, using cutting-edge technologies like eye-tracking, motion-capture, and thermal imaging to study social cognition in great apes, monkeys, and birds. Education: PhD in Biological Sciences (Primate Research Institute, Kyoto University) Key Collaborations: Max-Planck Institute for Evolutionary Anthropology, University of Oxford, Kumamoto Sanctuary (Kyoto University) Kano’s work spans comparative analysis of gaze behavior, emotional processing, and collective decision-making. He has developed wearable sensors for free-flying pigeons and non-invasive methods for studying primates in sanctuaries. His studies on the human eye’s uniformly white sclera have provided experimental support for the gaze signaling hypothesis . Recent research integrates large-scale motion-capture systems with gaze-tracking to analyze interspecies interactions in pigeons, crows, and humans. He specializes in quantifying attention dynamics during collective behavior, including vigilance in birds and social cognition in apes. Scientific Awards: Heidelberg Academy of Sciences Manfred Fuchs Preis (2023) APA Division 6 Early Carrier Investigator Award (2020) Japanese Psychological Association International Award (2018) Kano leads interdisciplinary teams combining computer vision, psychology, and behavioral ecology. His work bridges evolutionary biology and technological innovation, with applications for understanding human uniqueness and animal cognition.

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.

• Machine Learning
• Computer Vision
• Image Processing
• +3 more

Matthias O. Franz is a Professor in the Department of Computer Science at Hochschule Konstanz University of Applied Sciences, Konstanz, Germany, since 2007. His academic work spans theoretical and applied research in Machine Learning, Computer Vision, and Computational Neuroscience. Research Interests His research focuses on interdisciplinary applications of computational methods, including: Machine Learning algorithms for image analysis and signal processing Computer Vision techniques in object recognition and 3D reconstruction Computational Neuroscience studies on echolocation and visual saliency Quantum Physics applications in space missions Notable contributions include kernel methods for image modeling, steganalysis frameworks, and biomimetic navigation systems inspired by biological processes. Publication Trends Dr. Franz’s 15 most recent publications (2022–2011) demonstrate a trajectory from foundational work in nonlinear system modeling to applications in space technology, computer vision, and acoustic signal analysis. Key trends include: 2022: Image novelty detection using mean-shift algorithms for sensor technology 2015: Dual-species atom interferometry for space-based physics and hybrid image registration 2014: Geometric primitive classification in point clouds and multi-camera stereo matching 2013–2011: Steganalysis, Gaussian process calibration, and computational models of echolocation 2008–2007: Early work on Wiener series and visual saliency prediction

Alessandro GulbertiView profile

Research Fellow

• Neurology
• Deep Brain Stimulation (DBS)
• Parkinson's Disease
• +4 more

Alessandro Gulberti is a Research Fellow in the Department of Neurology at the Universitätsklinikum Eppendorf (UKE) in Hamburg, affiliated with the Faculty of Medicine. His work focuses on the neurophysiological and clinical aspects of Parkinson’s disease, particularly the effects of deep brain stimulation (DBS) on motor and cognitive functions. He investigates neural mechanisms underlying gait disorders, speech impairment, and cognitive deficits in Parkinson’s patients, leveraging advanced techniques like electrophysiology, neuroimaging, and computational modeling. Key research interests include DBS efficacy in modulating cortical and subcortical networks, the role of beta oscillations in Parkinsonian symptoms, and the application of virtual reality for gait rehabilitation. His studies often involve collaborations with neurologists, neurosurgeons, and engineers to optimize DBS protocols and understand disease mechanisms. Gulberti’s work has contributed to understanding the anatomical and functional targets of DBS, such as the subthalamic nucleus and substantia nigra, and their impact on axial symptoms, speech, and cognitive performance. Publications highlight his exploration of DBS-induced changes in neural networks, including studies on gait symmetry, pupil fluctuations in progressive supranuclear palsy, and the use of theta-burst stimulation. He has also evaluated the perioperative effects of safinamide in DBS patients and developed frameworks for improving eye-tracking data quality. His research bridges clinical neurology with translational neuroscience, aiming to enhance therapeutic outcomes through precision stimulation and personalized medicine.

• Cognitive Robotics
• Augmented Reality
• Traffic Telematics
• +3 more

Prof. Dr.-Ing. Gerd-Jürgen Giefing serves as Professor of Information and Communication Technology at Georg Agricola University of Applied Sciences since 2003, concurrently leading the Electrical and Information Engineering Master's Program, Digital Signal Processing Laboratory, and serving as Deputy Head of the Software Engineering Laboratory. His academic foundation includes: Electrical engineering studies with data processing focus at University of Karlsruhe and Technical University of Munich (1983-1988) Doctorate in neuroinformatics and technical vision from Ruhr University Bochum (1988-1993) Research spans cognitive robotics with emphasis on behavior-oriented scene analysis and distributed communication frameworks, augmented reality systems, and traffic telematics applications including driver face recognition. His foundational work in biologically inspired computer vision established video-based facial capture systems using multiprocessor architectures, later evolving into cognitive robotics frameworks. Current investigations focus on brain-computer interfaces and nomadic point cloud calibration for mobile robotics. Publication trends reveal a progression from neurobiological vision models (1990s) to cognitive robotics infrastructure (2010s), consistently addressing real-world applications in automation and human-machine interaction through IEEE conference proceedings. Key recognitions: Innovation Award '94 from Bochum Technology Transfer Association European Information Technology Award 1996 from European Council for Applied Sciences and Engineering As IEEE Systems Man and Cybernetics Society member, he maintains active research leadership without documented grant specifics. His laboratory direction fosters applied research in signal processing and software engineering for cognitive systems development.

• Human-Computer Interaction
• Affective Computing
• Multimodal Interaction
• +4 more

Overview Gualtiero Volpe is a Professor affiliated with the Department of Informatics at the University of Genoa, Italy. His research focuses on Human-Computer Interaction (HCI), Affective Computing, and Multimodal Interaction, with particular emphasis on analyzing social interactions, embodied cognition, and expressive movement qualities in contexts such as music performance and education. He has collaborated extensively with researchers like Antonio Camurri, contributing to interdisciplinary projects that bridge computer science, cognitive science, and the arts. Research Interests Analysis of human movement and affect through computational methods Design of multimodal interactive systems for education and healthcare Investigation of laughter and social dynamics in human interactions Development of technologies for music performance and collaborative creativity Key Contributions Volpe's work spans over 140 publications in top-tier venues such as IEEE Transactions on Affective Computing, ACM Conference on Human Factors in Computing Systems (CHI), and International Conference on Multimodal Interaction (ICMI). His research has led to innovations in: Automated analysis of movement qualities using machine learning Sonification platforms for exergames and rehabilitation Embodied interaction frameworks for children's education Computational models of group cohesion and synchronization Recent Trends in Publications Recent studies emphasize the integration of cognitive science principles into movement analysis and the application of multimodal systems to address challenges in post-pandemic social interaction (e.g., digital commensality). His work on 'Embodied Multisensory Training' and 'Hybrid Co-Working in Industry 5.0' highlights a growing focus on real-world applications of HCI research. Awards & Grants No specific awards or grants are explicitly mentioned in the provided data, though his prolific publication record and leadership in collaborative projects suggest sustained academic recognition and funding support. Labs & Teams Volpe is part of the EyesWeb XMI research group at the University of Genoa, developing open-source platforms for real-time multimodal interaction analysis. He collaborates with institutions like the University of Trento and Goldsmiths, University of London on projects related to music technology and social robotics.

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