جست‌وجوی استاد و پژوهشگر

• Brain-Computer Interfaces (BCI)
• Neurotechnology
• Electroencephalography (EEG)
• +۳ مورد دیگر

Jordy Thielen is an Assistant Professor at the Donders Institute for Brain, Cognition and Behaviour and the Artificial Intelligence Department at Radboud University, Netherlands. His work focuses on advancing Brain-Computer Interface (BCI) technology using code-modulated visual evoked potentials (c-VEP) and EEG signal processing. He leads the development of open-source tools like PyntBCI and Dareplane, which are critical for BCI research and clinical applications. His research integrates neurophysiological insights with machine learning to improve BCI efficiency, user comfort, and real-world applicability. Research interests emphasize BCI design, neurotechnology, and signal processing. Key contributions include studies on stimulus sequence optimization for c-VEP BCIs, Bayesian dynamic stopping methods for real-time decoding, and addressing BCI inefficiency through neurophysiological predictors. He also explores applications in clinical settings like objective EEG audiometry and sEEG-based BCIs. Recent work highlights a modular open-source platform (Dareplane) for closed-loop BCI research and innovative approaches to calibration-free decoding. His interdisciplinary approach bridges artificial intelligence, neuroscience, and engineering, making significant impacts in both academic research and clinical practice.

• Veterinary Diagnostic Imaging
• Equine Medicine
• Musculoskeletal Disorders in Horses
• +۳ مورد دیگر

Dr. A.J.M. (AJ) van den Belt is a Visiting Researcher at the Faculty of Veterinary Medicine , Utrecht University , specializing in Clinical Sciences . With a focus on Veterinary Diagnostic Imaging , their work integrates Magnetic Resonance Imaging (MRI) , Computed Tomography (CT) , and Radiology to address equine musculoskeletal and respiratory disorders. Research interests include: Equine lameness and foot asymmetry Diagnostic imaging techniques for cervical spine and navicular bone Osteochondrosis in Warmblood foals Neuromuscular and locomotor disorders Clinical assessment of competitive fitness in horses Publications span 2001–2020 , emphasizing horse musculoskeletal health , respiratory disease , and oncological conditions . Key activities involve advising in legal proceedings and participating in international conferences like the International Conference on Equine Exercise Physiology and World Equine Veterinary Association Congress . They hold accreditation as an EBVS® European Specialist in Veterinary Diagnostic Imaging .

• Artificial Intelligence
• Neurotechnology
• Perception
• +۵ مورد دیگر

Dr. Yağmur Güçlütürk is an Assistant Professor and Principal Investigator at the Donders Centre for Cognition and the Donders Institute for Brain, Cognition and Behaviour . She leads the Neural Engineering Lab , focusing on interdisciplinary research at the intersection of artificial intelligence, neurotechnology, and perception. Her work emphasizes computational approaches to interface with human sensory experiences and develop neuroprosthetics like visual prostheses and cochlear implants. Research interests include: Neurotechnology : advancing neural decoding techniques and implants Perception : exploring visual, auditory, and crossmodal aesthetic experiences Artificial Intelligence : applying machine learning and computer vision to sensory restoration Her recent publications focus on neural decoding, computer vision, and neuroprosthetics, with applications in emotion recognition, stimulus complexity modeling, and deep adversarial learning for brain-computer interfaces. She has secured significant research grants, including the H2020 FET Open and NWO Crossover Grant , and holds an Adjunct Professor position at Yeditepe University since 2019.

U. Güçlüمشاهده پروفایل

پژوهشگر

• NeuroAI
• Neural Coding
• Deep Learning
• +۳ مورد دیگر

Dr. U. Güçlü is a Principal Investigator at the Donders Institute for Brain, Cognition and Behaviour at Radboud University, Netherlands. He leads the Neural Coding Lab and Donders AI for Neurotech Lab , focusing on bridging neuroscience and AI to simulate in vivo neural computation using in silico connectionism for "brain reading" and "brain writing." He ranks among the top 10 most-cited researchers in Neural Decoding, Neural Encoding, and NeuroAI on Google Scholar (H-index: 29). University: Radboud University Institution: Donders Institute Rank: Researcher His research interests include NeuroAI , Neural Coding , and Neurotechnology , particularly for restoring sensory and cognitive functions (e.g., vision in the blind, audition in the deaf). His articles highlight advancements in neural decoding, encoding models, and AI-driven prosthetic vision. He is an ELLIS Scholar and Computable Laureate . Scientific Awards : Computable Laureate Grants : 2023: ≈€250k internal research grant (co-applicant) 2022: ≈€20M NWO Gravitation grant (consortium member) 2020: ≈€500k internal grant (€250k co-applicant) 2019: ≈€250k internal grant 2016: ≈€1.5M NWO Perspective grant (consortium member)

• Neuroscience
• Neuromodulation
• Calcium Imaging
• +۶ مورد دیگر

Eric Lowet is an Assistant Professor at Erasmus MC specializing in Neurosciences. His research focuses on neural dynamics and brain stimulation techniques. Active research areas include Local Field Potential analysis, Neuromodulation, Calcium Imaging, and Confocal Microscopy Recent work explores sensory processing in visual cortex, spiking resonance mechanisms, high-frequency electrical stimulation effects, and advanced voltage imaging technologies. Key publication trends show interdisciplinary approaches combining electrophysiology, computational modeling, and optical imaging to understand brain function.

Lynda Hardmanمشاهده پروفایل

استاد

• Multimedia Discourse Interaction
• Augmented Reality
• User-Centric Design
• +۳ مورد دیگر

Roles: Lynda Hardman is a part-time Professor of Multimedia Discourse Interaction at the University of Utrecht's Interaction Technology group within the Institute of Information and Computing Sciences. She concurrently serves as a Research & Strategy Manager at the Centrum Wiskunde & Informatica (CWI) in Amsterdam, leading the Human-Centered Data Analytics research group. She directs Amsterdam Data Science (ADS), fostering collaboration between academia, industry, and government in data science. Research: Hardman's work focuses on user-centric technologies, including augmented reality applications for neuroscience (e.g., Linked Brain Data), semantic web integration (LinkedTV, Fish4Knowledge), and interactive media systems. Her research bridges multimedia, AI, and human-computer interaction, emphasizing ethical digital humanism through initiatives like the Vienna Manifesto. Past projects include EventMedia, K-Space NoE, and MultimediaN/E-Culture, advancing automated media linking and user interface design. Leadership: As former president of Informatics Europe (2016-2019), she championed women's roles in informatics through the 'More Women in Informatics Research & Education' initiative. She also led EIT Digital's ICT-mediated Human Activity action line (2011-2012), promoting European ICT innovation. Publications: Her recent work explores AR tools for neuroscience literature analysis (DatAR), digital humanism frameworks, and bias in digital archives. These contributions highlight interdisciplinary approaches to technology's societal impact.

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۵ مورد دیگر

Mark Billinghurst is a Professor specializing in Augmented Reality (AR), Virtual Reality (VR), and Human-Computer Interaction. His research focuses on advanced 3D user interfaces, wearable computing, and empathic mixed reality systems. A former Research Associate at the HIT Lab US, he holds a PhD in Electrical Engineering from the University of Washington and degrees from Waikato University in New Zealand. Education: Bachelor of Computing and Mathematical Science (First Class Honours), Waikato University, 1990 Master of Philosophy (Applied Mathematics & Physics), Waikato University, 1992 PhD in Electrical Engineering, University of Washington, 2002 Research Interests: Wearable Computing and Spatial Interfaces Augmented Reality for Collaboration (e.g., SharedSpace, Mini-Me avatars) Multimodal Input (voice, gestures, gaze) Empathic VR/AR interfaces using physiological data (e.g., Empathy Glasses) Remote Collaboration Systems (SharedSphere, Snow Dome) Key Projects: TBI Cafe (VR therapy for brain injury patients), Haptic Hongi (cultural interaction via AR), RadarHand (gesture interaction with radar sensing), and Mixed Reality collaboration tools like Pinpointing and Empathy in VR. Awards: Discover Magazine Award (2001) for Magic Book World Technology Award Nominee (2004) New Zealand Government’s Growth and Innovation Advisory Board (2005) Grants & Labs: Active in developing AR/VR systems for healthcare, education, and industrial applications. Collaborates on projects like KiwiRescuer (museum exhibits) and TARPLE (AR programming education).

Regina Luttgeمشاهده پروفایل

دانشیار

• Biomedical Microsystems
• Brain-on-Chip Technology
• Micro-Nanofabrication
• +۵ مورد دیگر

Regina Luttge is an Associate Professor at Eindhoven University of Technology (TU/e) in the Department of Mechanical Engineering and Chair of Neuro-Nanoscale Engineering. Her research focuses on developing biomimetic brain-on-chip systems through micro-nanofabrication, combining tissue engineering with microfluidics for studying neurodegenerative diseases. ERC Starting Grant (2011) and Proof of Concept Grant (2015) Chief Scientific Officer at MyLife Technologies BV since 2012 Research Interests : Temporal/spatial cellular microenvironment control Directional neuronal network formation via nanogrooves Hydrogel scaffolds for 3D neural cultures Clinically relevant preclinical models Microfabrication for neurotechnology Recent Publications demonstrate trends in mechanodynamic brain-on-chip , epileptic seizure modeling , and neurodegenerative assembloids , with keywords spanning Biomedical Microsystems, Nanofabrication, and Neurotechnology. Scientific Awards ERC Starting Grant (2011) for "Chatting with Neurons" ERC Proof of Concept Grant (2015) for "Sieving Neuronal Networks" Education & Supervision : PhD from Imperial College London (2003), former researcher at Institut für Mikrotechnik Mainz. Supervised 38 student theses including T. Labeur's hydrogel bead trapping research and T.A. Roza's automated Brain-on-Chip feedback-loop system. Industry Collaboration : Co-founded MyLife Technologies BV, bridging academic research with commercial microsystem development while mentoring student entrepreneurship through TU/e's challenge-based learning initiatives.

Evangelos Niforatosمشاهده پروفایل

استادیار

• AI-Powered Human Augmentation
• Human-Computer Interaction (HCI)
• Ubiquitous Computing
• +۳ مورد دیگر

Evangelos Niforatos is an Assistant Professor of AI-Powered Human Augmentation at the Sustainable Design Engineering Department within the Faculty of Industrial Design Engineering at TU Delft. His research focuses on developing AI systems to enhance human perception and cognition, with particular attention to neuro-adaptive systems and large language models (LLMs) for human augmentation. Education: Ph.D. in Ubiquitous Computing and HCI, Universitá della Svizzera italiana (USI), Switzerland (2014–2018) M.Sc. in Computer Networks and Communications, Ionian University, Greece (2009–2011) B.Sc. in Informatics, Ionian University, Greece (2004–2008) Research Interests: Evangelos explores AI applications in human augmentation, including wearable technologies, brain-computer interfaces (BCIs), and generative AI tools for design and manufacturing. He emphasizes ethical considerations in AI, such as appropriate trust and bias mitigation, while addressing challenges like cognitive assistants in industrial settings and EEG integration in head-mounted devices. Key Projects: Developed Focals smart glasses at North Inc. (now Google), pioneering socially acceptable AR eyewear. Launched the Design at Scale (D@S) Lab and contributed to the COALA (H2020) research project. Secured grants for AI Augmented Engineering Education initiatives. Labs & Collaborations: Active in the Design at Scale (D@S) Lab and collaborates internationally on projects like COALA, focusing on scalable design methodologies and human-centric AI solutions.

Vincent C. Müllerمشاهده پروفایل

استاد

• Philosophy of AI
• Ethics of Technology
• Cognitive Science
• +۲ مورد دیگر

Vincent C. Müller is AvH Professor for Philosophy and Ethics of AI at FAU Erlangen-Nürnberg, directing the Centre for Philosophy and AI Research. He holds visiting positions at TU Eindhoven and maintains affiliations with Alan Turing Institute. Research Focus: His work examines philosophical foundations of artificial intelligence, consciousness in machines, and ethical implications of human enhancement technologies. Recent Publications: Explore cognitive architectures, ethical frameworks for AI governance, and human-machine collaboration paradigms through interdisciplinary approaches bridging philosophy and computer science.

Marco Fattoriمشاهده پروفایل

استادیار

• Analog Circuit Design
• Flexible Electronics
• Large-Area Electronics
• +۲ مورد دیگر

Marco Fattori is Assistant Professor in the Integrated Circuits group at Eindhoven University of Technology. His research focuses on analog/mixed-signal circuit design, flexible electronics, and machine learning applications in circuit optimization. Co-founder and CTO of MicroAlign. Research areas: Analog front-ends for biosensors Thin-film transistor circuits Large-area electronics manufacturing Low-power ADC designs Recent projects include biomedical interfaces for brain-computer interfaces, printed proximity sensors, and ultra-low power converters. Leads research on metal-oxide thin-film transistors for smart sensor surfaces.

Rob M.C. Mestromمشاهده پروفایل

استادیار

• Medical Engineering
• Electromagnetic Field Modeling
• Neurostimulation
• +۵ مورد دیگر

Rob M.C. Mestrom is an Assistant Professor in the Electrical Engineering Department at Eindhoven University of Technology (TU/e), specializing in electromagnetic field modeling for medical applications. His research focuses on neurostimulation (e.g., TMS, tDCS), hyperthermia treatment optimization, and multiphysics modeling in clinical contexts. He holds an MSc (cum laude) and PhD from TU/e, with postdoctoral work on RF-MEMS antenna technology. His affiliations include the Electromagnetics for Care+Cure Research Lab (EM4Care+Cure) and the NeuroPlatform, alongside roles in education management. Education: MSc in Mechanical Engineering (TU/e, 2005, cum laude) PhD in Dynamics & Control (TU/e, 2009) Research interests include electromagnetic applications in healthcare, such as personalized neurostimulation protocols, thermal modeling for hyperthermia, and clinical device development. His work bridges engineering and medicine, with projects like HD-EEG-based epilepsy treatment and collaborations with clinical partners. Recent publications (2025–2024) explore wideband dielectric tissue characterization via MRI, uncertainty analysis in ultrasound stimulation, and mechanisms of tDCS. His contributions span 82+ research outputs, 4 major projects, and 18 supervised works. Projects: Personalized Neurostimulation for Epilepsy (2019–2023) PANAMA (RF-MEMS Antenna Research, 2009–2011) Labs/Teams: EM4Care+Cure Lab, NeuroPlatform, and the Eindhoven MedTech Innovation Center. Teaching includes courses on electromagnetic modeling, neurophysiology, and physics for engineering.

• Artificial Intelligence
• Health Informatics
• Knowledge Graphs
• +۴ مورد دیگر

Prof. Zhisheng Huang is a Visiting Professor at the Faculty of Science, Vrije Universiteit Amsterdam. His research focuses on AI-driven solutions for healthcare challenges, particularly leveraging knowledge graphs for mental health analysis, biomedical informatics, and social media monitoring. He actively contributes to UN Sustainable Development Goals related to health and well-being (SDG 3). Key Research Areas: Knowledge graphs for dietary nutrition and disease analysis Suicide risk detection via social media (e.g., "Tree Hole" project) Medical Q&A systems for geriatric diseases AI applications in mental health diagnostics His work integrates ontology engineering, machine learning, and big data analytics to address complex health issues. Notable projects include the KG4NH knowledge graph and hypertension early warning systems. Collaborations span international institutions, focusing on interdisciplinary health informatics solutions. Recent Focus: Exploring microbiota-gut-brain axis relationships, depression etiology, and family dynamics in postpartum mental health. His research bridges computational methods with clinical practice to improve healthcare outcomes.

Anton Nijholtمشاهده پروفایل

استاد

• Human-Computer Interaction
• Affective Computing
• Augmented Reality
• +۶ مورد دیگر

Anton Nijholt is a Professor specializing in non-traditional Human-Computer Interaction (HCI) research. His work focuses on areas such as affective computing, augmented reality, brain-computer interfaces (BCI), and playable cities. He has held academic positions across universities in Belgium and the Netherlands and has contributed to over 800 research outputs. As Chief Editor of Frontiers in Psychology and Frontiers in Computer Science, he leads the Human-Media Interaction section and serves on editorial boards for Springer's Gaming Media and Social Effects series. Nijholt has supervised approximately fifty Ph.D. students and has been a scientific advisor to Philips Research and a research fellow at institutions like McMaster University (Canada), the Netherlands Institute for Advanced Study, and the Imagineering Institute (Malaysia). His research interests span humor engineering, multisensory human-food interaction, and leveraging AR/VR technologies to enhance urban environments. He has organized major international conferences and workshops in affective computing, entertainment computing, and BCI applications, including recent edited books like Playable Cities: The City as a Digital Playground (2022) and Brain Art: BCI for Artistic Expression (2019). Nijholt emphasizes playful and humorous interactions in smart cities, advocating for technology that improves social-emotional development and urban livability. Nijholt’s recent talks and activities highlight his commitment to exploring AR’s societal impact, ethical implications of extended realities, and BCI applications beyond clinical settings. He collaborates internationally, contributing to the development of frameworks for BCI games and multisensorial augmented reality systems. Despite no explicit mention of awards, his editorial roles and conference leadership reflect his significant contributions to the academic community.

• e-Health
• Human-Computer Interaction
• Behavioral Change
• +۳ مورد دیگر

Femke Nijboer is an Assistant Professor affiliated with the TechMed Centre and Digital Society Institute, focusing on e-Health technologies, behavioral change, and neuroethics. Her work bridges healthcare, technology, and ethics, particularly in assistive technologies for locked-in syndrome patients and aging populations. Research interests include co-design methodologies for older adults, brain-computer interface (BCI) usability, and ethical implications of neurotechnology. She actively collaborates with interdisciplinary teams to develop user-centered solutions addressing late-life loneliness and healthcare accessibility. Key contributions include studies on BCI preferences for locked-in syndrome patients and frameworks for managing emotional requirements in software ecosystems. Her work is driven by UN Sustainable Development Goals related to health equity and innovation. Public engagement includes media contributions discussing aging, technology ethics, and participatory design. Supervision and grant activities are ongoing but details are currently limited. Labs/teams: TechMed Centre (BCI applications), Digital Society Institute (eHealth innovation), and collaborative networks in gerontechnology and neuroethics.