جست‌وجوی استاد و پژوهشگر

Joyce H.D.M. Westerinkمشاهده پروفایل

استاد

• Psychophysiology
• Human-Computer Interaction
• Wellbeing
• +۵ مورد دیگر

Joyce Westerink is a part-time Full Professor in the Human Technology Interaction group at Eindhoven University of Technology (TU/e), where she holds the Chair on Wellbeing and Psychophysiology. She joined TU/e in 2012 and has supervised numerous master's and PhD students. Concurrently, she maintains an ongoing industrial research career at Philips Innovation & Strategy since 1985, contributing to projects in personal care, media interaction, and brain-behavior studies. Education: • MSc in Experimental Physics, Utrecht University (1985) • PhD, Eindhoven University of Technology (1991) Research Focus: Her work bridges psychophysiology and technology, investigating how physiological signals reflect wellbeing (stress, arousal, mental balance) and developing unobtrusive measurement methods. Applications span: Healthcare monitoring systems Affective computing interfaces Wearable technology for wellbeing Digital mental health solutions Publication Trends: Recent works (2022-2023) focus on wearable sensors for team performance, stress physiology, digital mental health adoption during COVID-19, interpersonal biosignal sharing, and infant sleep analysis - reflecting her dual expertise in physiological measurement and human-centered applications. Awards: SMPTE Journal Award (1990) INGRoup Outstanding Poster Award (2021) Recent paper award for wearable tech review (2023) Professional Activities: She has delivered keynote talks on 'Wearable Wellbeing' (2017) and contributes to UN Sustainable Development Goals through health technology research.

Jelmer Borstمشاهده پروفایل

دانشیار

• Computational Cognitive Neuroscience
• Neuroimaging Analysis
• Cognitive Modeling
• +۵ مورد دیگر

Prof. Jelmer Borst is an Associate Professor in Computational Cognitive Neuroscience at the University of Groningen's Faculty of Science and Engineering, affiliated with the Artificial Intelligence department within the Bernoulli Institute. His research focuses on integrating computational models with neuroimaging data to understand cognitive processes like multitasking, working memory, and decision-making. He advises three PhD candidates and collaborates internationally on projects involving EEG/fMRI analysis and cognitive modeling frameworks such as ACT-R and Nengo. Research Interests: Neuroimaging analysis methods, cognitive bottlenecks in multitasking, memory retrieval localization, and adaptive learning systems. Key Projects: Developed the PREDICTOR tool for semi-automated driving response timing, and advanced models linking symbolic process stages to brain activity via MEG/EEG. Recent work includes large-scale evaluations of adaptive learning systems and interventions to mitigate mind-wandering in driving scenarios. He has received the Allen Newell Best Student-led Paper Award (2021) for contributions to cold-start adaptive learning research. His research group maintains active collaborations on datasets involving working memory, decision-making, and cognitive architecture validation through neuroimaging experiments. He also contributes to open-source tools for cognitive modeling and neuroimaging analysis.

Nicu N. Gogaمشاهده پروفایل

پژوهشگر

• Computer Simulation
• Molecular Dynamics
• Robotics
• +۵ مورد دیگر

Nicu N. Goga is an external researcher at the University of Groningen's Faculty of Science and Engineering, specializing in computational methods with applications spanning transportation systems, robotics, and renewable energy. His work integrates advanced simulation techniques across multiple engineering disciplines to solve complex real-world problems. Dr. Goga's research demonstrates exceptional interdisciplinary breadth, with core expertise in computer simulation and molecular dynamics. He has pioneered adaptive route optimization solutions for commercial fleets, developed affordable humanoid robotics platforms like Miha, and engineered EEG-based brain-computer interfaces for consumer electronics. His molecular dynamics work focuses on photoelectrochemical water splitting for sustainable hydrogen production, directly contributing to UN Sustainable Development Goals in clean energy and industry innovation. Analysis of his 2021-2025 publications reveals a strategic evolution from fundamental computational chemistry toward applied engineering solutions. While maintaining molecular dynamics as a foundational methodology, his recent work increasingly targets transportation logistics and human-robot interaction, showcasing a deliberate shift toward high-impact applications in commercial and assistive technologies. Affiliated with the Molecular Dynamics research group at Groningen, Dr. Goga operates within a robust collaborative network evidenced by international co-authorship patterns. His technical fingerprint spans computer simulation engineering, model checking, multiscale modeling, and distributed systems architecture, reflecting a versatile computational toolkit applied across diverse problem domains.

Julia Berezutskayaمشاهده پروفایل

استادیار

• Brain-Computer Interfaces
• Neurotechnology
• Decoding Brain Signals
• +۴ مورد دیگر

Julia Berezutskaya serves as an Assistant Professor at Utrecht University within the Brain strategic program, leading the Utrecht-BCI lab dedicated to developing neurotechnology for individuals with motor impairments. Her research focuses on creating brain-computer interfaces (BCIs) to enable communication and computer control for people with severe movement disabilities, emphasizing patient-centered artificial intelligence applications in medical care. Her primary research areas include decoding neural signals for BCI applications, developing specialized BCI software and interactive games, and integrating functional electrical stimulation to reanimate paralyzed muscles. This work bridges fundamental neuroscience with clinical neurotechnology, targeting neurological and psychiatric disorders through innovative neuroengineering solutions that translate brain activity into actionable outputs for rehabilitation. Recent publication trends reveal a strong emphasis on electrode optimization for sensorimotor cortex recordings (2024), hybrid BCI-FES systems for motor restoration (2023), and advanced deep learning models for speech reconstruction from neural data (2023). These contributions demonstrate consistent progress in making BCIs more reliable, clinically applicable, and responsive to user needs across neurorehabilitation contexts. The Utrecht-BCI lab operates at the intersection of neuroscience, engineering, and AI, with a mission to elucidate neuronal mechanisms underlying healthy brain function to develop transformative neurotechnologies. Current projects focus on enhancing BCI accessibility through user-centered design while addressing ethical considerations in patient-centered AI deployment for neurological care.

• Machine Learning
• Neural Networks
• Neuromorphic Computing
• +۳ مورد دیگر

Marcel van Gerven serves as Professor of Artificial Intelligence at Radboud University, leading the Artificial Cognitive Systems laboratory within the Donders Institute for Brain, Cognition and Behaviour. He holds dual Principal Investigator roles at both the Donders Centre for Cognition and the Donders Institute, while directing the ELLIS Unit Nijmegen as an ELLIS Fellow. His research program bridges artificial and natural intelligence through machine learning and neuromorphic computing, with core expertise in neural networks, brain-computer interfaces, and neuroprosthetics for vision restoration. Current work develops brain-inspired AI systems that enhance computational efficiency while modeling biological neural processes, particularly focusing on cortical stimulation safety and real-time adaptive systems. Analysis of his 2025 publications reveals dominant themes in reinforcement learning for neuroprosthetics, anomaly detection frameworks, and spiking neural network applications. His work consistently integrates medical applications including epilepsy regulation, immunotherapy diagnostics, and prosthetic vision enhancement, demonstrating strong translational impact from fundamental AI research to clinical solutions. Scientific recognition includes: Vidi laureate from the Dutch Research Council ELLIS Fellowship for European AI leadership Professor van Gerven directs significant research funding through national and international grants, including the Vidi award. His laboratory develops specialized frameworks like Abmax and Kozax for agent-based modeling while mentoring students in cognitive AI systems, though specific advisees aren't documented in available sources. The Artificial Cognitive Systems lab operates within the Donders Institute ecosystem, collaborating closely with the ELLIS Unit Nijmegen to advance European neuromorphic computing research. Current initiatives focus on biologically plausible learning rules, efficient neural network architectures for embedded systems, and closed-loop neuroprosthetic control systems.

Praneschen Govenderمشاهده پروفایل

پژوهشگر

• AR/VR in Education and Training
• Learning how to Learn
• AI in Education

Dr. Praneschen Govender is an immersive technologies practitioner and researcher affiliated with Hotelschool The Hague , where he integrates VR/AR into hospitality curricula and manages immersive technology research projects for higher education and private-sector collaborations. Originally from South Africa and based in Amsterdam, he holds a PhD in Psychology from the University of KwaZulu-Natal. His research bridges technology and pedagogy, with active projects focused on digitalizing hotel operations and enhancing employee training. Research Interests: AR/VR in Education and Training : Investigates immersive technologies for improving job readiness in high-turnover hospitality roles. Learning how to Learn : Explores self-directed learning as a critical skill for rapid reskilling amid AI-driven labor market shifts. AI in Education : Develops AI tutors (2D/3D) for personalized, on-demand learning support. His recent publications (2022–2025) demonstrate a consistent focus on disruptive innovation in hospitality , educational technology , and human-robot interactions . Key trends include empirical studies on service robots, systematic reviews of AR/VR pedagogy, and case analyses of digital business models. No awards or supervised students are documented.

• Biomedical Engineering
• Optical Spectroscopy
• Medical Instrumentation
• +۳ مورد دیگر

B.H.W. Hendriks is a Professor in the Department of Mechanical Engineering at Delft University of Technology, specializing in Medical Instruments & Bio-Inspired Technology. His research develops optical and signal processing solutions for medical applications, particularly in surgical environments and tissue analysis. His primary research domains include: Biomedical Engineering Optical Spectroscopy (Diffuse Reflectance) Medical Device Development Surgical Technology Cardiac Signal Processing Tissue Characterization Analysis of his 55+ publications reveals dual expertise: (1) Intraoperative optical sensing (e.g., fiber-optic tissue identification during spine surgery and electrosurgery), and (2) Advanced signal processing for cardiac diagnostics (atrial fibrillation mapping via electrograms/ECG). His work bridges mechanical engineering with clinical practice through real-time surgical workflow analysis and tissue-mimicking phantoms. Hendriks actively supervises research students and has generated 3 significant datasets for tissue characterization. His fingerprint shows dominant activity in spectroscopy (100%), surgery (93%), and tissue analysis (91%), with emerging work in human pose tracking for cardiac catheterization laboratories.

Christina Schneegassمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction (HCI)
• Cognitive Science
• Educational Technology
• +۳ مورد دیگر

Christina Schneegass is a researcher at Delft University of Technology's Faculty of Industrial Design Engineering, specializing in Human-Centered Design and Perceptual Intelligence. She holds a Ph.D. in Media Informatics and Human-Computer Interaction from Ludwig-Maximilians University Munich, alongside M.Sc. and B.Sc. degrees in Applied Cognition and Media Sciences from the University of Duisburg-Essen. Her work focuses on cognitive processes in Human-Computer Interaction (HCI), particularly in educational technology, cognitive augmentation, and neurotechnology. She has explored topics like AR-enhanced TV experiences, chatbot response delays, and haptic interface design. Her research emphasizes balancing technological innovation with cognitive enhancement, leveraging neurotechnologies to understand user perception. She teaches courses such as Cognitive and Psychological Design and Cognitive Ergonomics . Schneegass collaborates on projects like Dark Haptics (2025) and Broadening the Mind (2024), advancing interactive system design and neurotechnology applications.

Ivo de Jongمشاهده پروفایل

مدرس

• Machine Learning
• Uncertainty Quantification
• Brain Computer Interfaces
• +۱ مورد دیگر

Ivo de Jong is a Lecturer and PhD Candidate at the University of Groningen, affiliated with the Department of Artificial Intelligence within the Faculty of Science and Engineering. He focuses on Machine Learning, Uncertainty Quantification, Brain Computer Interfaces (BCI), and EEG analysis. His work bridges theoretical advancements in uncertainty estimation with practical applications in biosignal processing and cognitive systems. Education: Holds an MSc, currently pursuing a PhD in Artificial Intelligence. Research emphasizes interdisciplinary approaches combining machine learning with neuroscience, including EEG signal interpretation and BCI model reliability. Public engagement includes ORCID and LinkedIn profiles. Research Trends: Recent articles (2023-2025) highlight work on uncertainty quantification in BCI systems, adversarial robustness in vision-language models, and cross-subject motor imagery classification. His 2021 work on web-graph clustering demonstrates earlier contributions to data analysis methodologies. Professional Activities: No awards explicitly listed, but active in peer-reviewed conference proceedings (e.g., Graz BCI Conference 2024). Collaborates with institutions like TU Graz and maintains an active research portal.

Krishnendu Chakrabartyمشاهده پروفایل

استاد

• Integrated Circuit Testing
• Design for Testability
• Digital Microfluidics
• +۸ مورد دیگر

Krishnendu Chakrabarty is currently a Professor of Engineering at Duke University. He serves as the Editor-in-Chief of the ACM Journal on Emerging Technologies in Computing Systems and IEEE Transactions on VLSI Systems. His work spans multiple domains, combining engineering principles with computational technologies. Integrated Circuit Testing Digital Microfluidics Biochips Cyberphysical Systems Digital Print Systems Optimization He has received numerous accolades, including the prestigious Humboldt Research Award, and holds distinguished roles as an ACM Distinguished Speaker and former IEEE Computer Society Distinguished Visitor.

• Criminal Law
• Philosophy of Criminal Law
• Forensic Psychiatry
• +۵ مورد دیگر

Prof. mr. dr. Johannes Bijlsma is Associate Professor of Criminal Law at Utrecht University's Faculty of Law, Economics and Governance and Special Professor of Philosophy of Criminal Law at the University of Groningen. He leads the Utrecht Centre for Accountability and Liability Law (UCALL) and contributes to research on preventive justice , legal insanity , and neurotechnology in criminal law . His work integrates legal philosophy, human rights, and empirical disciplines. Education: Dutch Law (Criminal Law & Legal Philosophy) from University of Groningen (2005) PhD cum laude in Criminal Law from Vrije Universiteit Amsterdam (2016) Research Interests: Focuses on mentally ill defendants, risk of reoffending, and neuroscientific implications in criminal proceedings. Key themes include legal dangerousness , indeterminate commitment , and conditional dismissal . Collaborates with neuroscientists and forensic psychiatrists on projects like the Law and ethics of neurotechnology . Scientific Awards: Moddermanprijs (2018) for outstanding PhD thesis in criminal law Recent Publications: Explores AI risk assessment, neuroprediction, and preventive justice frameworks. Articles appear in journals like Journal of Neural Engineering and International Journal of Law and Psychiatry . Notable works include Disorder and Criminal Exclusion (2016) and Risk Criminal Law and the Legal Order (2024).

• Cognitive Neuroscience
• Artificial Intelligence
• Human-centered Artificial Intelligence
• +۴ مورد دیگر

Dr. Samson Chota is an Assistant Professor in the Department of Psychology within the Faculty of Social and Behavioural Sciences at Utrecht University. His primary research group is Experimental Psychology. He is actively involved in the following Master's programs: Applied Data Science Artificial Intelligence Neuroscience and Cognition His research expertise lies at the intersection of Cognitive Neuroscience and Artificial Intelligence, with a focus on Human-centered AI and Life Sciences. Key areas include cognitive modeling, working memory, attention mechanisms, and neural synchronization. His work aims to understand how the brain processes information in real-time and how these insights can inform AI systems. Analysis of Dr. Chota's recent publications reveals a cohesive research trajectory centered on dynamic cognitive processes. His work demonstrates how rhythmic attentional sampling governs working memory operations and how neural representations flexibly adapt to environmental demands. This research bridges experimental psychology with computational modeling, yielding insights applicable to both cognitive theory and human-centered AI development. Dr. Chota actively contributes to graduate education through the Introduction to Cognitive Models course and supervision within Utrecht's Neuroscience and Cognition and Applied Data Science Artificial Intelligence programs.

• Human-AI Interaction
• Generative AI
• Computer Vision
• +۳ مورد دیگر

Tianhao He is a Ph.D. candidate at the Faculty of Industrial Design Engineering, Delft University of Technology, where he serves as a Researcher in the Sustainable Design Engineering department. As an active member of the Design-at-Scale Lab, he focuses on Human-AI Collaboration in video-based design practices and contributes to the Knowledge and Intelligence Design (KInD) research group. His research spans Generative AI, Computer Vision, and Cognitive Science with particular emphasis on making AI algorithms accessible for professional design tasks. He teaches courses including Data, Machine Learning for Design, and AI Products and Services (2024), and Crowd Computing for Design (2023), demonstrating his expertise in translating complex AI concepts for educational contexts. His publications reveal a consistent focus on human-centered AI applications across diverse domains—from video-based design tools to brain-computer interfaces and industrial knowledge management systems—highlighting his interdisciplinary approach to enhancing human creativity through technology. As part of his academic role, he actively contributes to research projects focused on Design for Social Good and human-centered AI development, bridging theoretical research with practical design applications.

Michael Tangermannمشاهده پروفایل

دانشیار

• Machine Learning
• Neurotechnology
• Brain-Computer Interfaces (BCI)
• +۵ مورد دیگر

Dr. Michael Tangermann is an Associate Professor at Radboud University and Principal Investigator at the Donders Institute for Brain, Cognition and Behaviour. He leads the Data-Driven NeuroTechnology Lab, focusing on developing machine learning algorithms for neural and behavioral data analysis. His work integrates brain-computer interfaces (BCI), closed-loop neurotechnologies, and deep brain stimulation (DBS) to address clinical and non-clinical challenges. Education: PhD in Computer Science (2007, University of Tübingen) and Diplom in Computer Science (2000, University of Tübingen). Former positions include Head of the Brain State Decoding Lab (University of Freiburg, 2013–2020) and Substitute Professor for Autonomous Intelligent Systems (2019–2020). Research interests span machine learning for time-series analysis, neurotechnological applications (e.g., BCI for communication/rehabilitation, adaptive DBS), and translational neuroscience. His lab collaborates with institutions like the University Medical Center Freiburg and MindAffect. Publications (H-index: 40) emphasize decoding brain states, optimizing BCI paradigms, and developing open-source tools like the Dareplane platform. Teaching includes advanced BCI courses and digital signal processing at the graduate level.

• Astronomy
• Infrared Astronomy
• Galaxy Evolution
• +۳ مورد دیگر

Dr. P.R. Roelfsema is a research-focused academic at the Kapteyn Astronomical Institute within the Faculty of Science and Engineering at the University of Groningen. His work centers on advancing infrared space astronomy through the SPICA (Space Infrared Telescope for Cosmology and Astrophysics) mission, a proposed large cryogenic space observatory. His research spans multiple critical areas of modern astrophysics: Galaxy evolution through baryon cycle analysis Formation mechanisms of planetary systems Development of far-infrared instrumentation (e.g., SAFARI spectrometer) Probing obscured cosmic phenomena via mid/far-IR spectroscopy Interdisciplinary cognitive science applications Recent publications (2017-2021) demonstrate leadership in SPICA mission design and scientific exploitation, with emphasis on spectroscopic capabilities for studying molecular outflows, star formation, and active galactic nuclei. His work bridges theoretical astrophysics and cutting-edge space instrumentation, often involving large international collaborations across Europe and the United States. Dr. Roelfsema's research profile shows significant interdisciplinary reach, including a notable publication in neural computation that applies astronomical data analysis techniques to cognitive modeling. This cross-pollination highlights innovative methodology transfer between astrophysics and neuroscience. No specific scientific awards or student advisement records are documented in available materials, though his role in major international projects implies substantial grant acquisition and collaborative leadership. His technical contributions to space telescope instrumentation position him at the forefront of next-generation observational capabilities.