Find Academic Supervisors

• Dental Education
• Virtual Reality
• Educational Technology
• +3 more

JM Vervoorn is a Visiting Fellow at the Academic Centre for Dentistry Amsterdam, affiliated with the Oral Radiology department. He focuses on integrating advanced technologies like virtual reality (VR) and haptics into dental education. His research emphasizes student learning environments, clinical training transitions, and the global impact of scientific advancements on oral health. He has contributed to peer-reviewed articles analyzing VR implementation, force feedback effects, and educational system improvements. Dr. Vervoorn’s work spans studies on technological adoption in dental curricula, the psychological aspects of student perception during clinical training, and qualitative assessments of patient-centered VR methodologies. His articles consistently highlight the transformative potential of VR in dentistry and healthcare education. Advised 2 PhD theses (names not disclosed). Organized international events such as the Simodont Forum ADEA/ADEE 2017 and the ADEE Special Interest Group on Emerging Technologies in Vilnius, Lithuania. Active in collaborative initiatives, including research on global oral health advancements and simulation-based educational frameworks.

Amir GrinsteinView profile

Associate Professor

• Pro-social Marketing
• Demarketing
• Sustainability
• +4 more

Amir Grinstein is an Associate Professor of Marketing at the Vrije Universiteit Amsterdam (since 2012) and Northeastern University (since 2015). He holds a PhD from the Hebrew University of Jerusalem and a post-doctorate from Harvard Business School. Research Themes : Pro-social marketing and demarketing Sustainability and environmental behavior Health communication and consumer well-being International marketing strategy His work explores how marketing intersects with public policy, particularly in promoting green behaviors and resolving conflicts in health communication. Recent publications focus on gamification, message tone, and corporate activism. Scientific Awards : EMAC Susan P. Douglas award (2013) Thomas C. Kinnear award (2020) Outstanding AE for Journal of International Marketing (2021) Outstanding Reviewer - Journal of Marketing (2022) Teaching Innovation Award (2021) The Socially Responsible CMO Project (2016) Grants : TCR seed-money grants (2014) Editorial Roles : Associate Editor for Journal of International Marketing (2016–present) Member of editorial board, International Journal of Research in Marketing (2021–present)

Ahmet BörüteceneView profile

Assistant Professor

• Artificial Intelligence
• Human-Computer Interaction
• Virtual Reality
• +5 more

Dr. Ahmet Börütecene is an Assistant Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Media and Information Technology (MIT) research group. His work bridges human-computer interaction (HCI), artificial intelligence (AI), and design innovation, with a focus on embodied interaction, smart urban technologies, and participatory design methods. He holds an email address at ahmet.borutecene@liu.se. Research Interests: Börütecene explores AI integration in control environments, VR ideation tools, and the social impact of smart city technologies. His work emphasizes playful prototyping (e.g., glow sticks for VR design) and inclusive urban planning strategies. Recent projects include non-humanoid AI colleague interfaces, embodied interaction with LLMs (e.g., QuillGPT), and sensor-driven urban systems. Publications: His 2025 paper on nonhuman AI colleagues in control rooms and 2024 VR design studies highlight trends in hybrid physical-digital systems. Earlier work includes studies on coffee ground-based speculative design and tangible tools for multi-stakeholder collaboration. Collaborations and Labs: As part of MIT at ITN, he contributes to interdisciplinary projects in visualization, interaction design, and sustainable technology. His research often involves cross-disciplinary teams, including collaborations with artists and urban planners.

• Biomedical Engineering
• Medical Robotics
• Implantable Devices
• +5 more

Izadyar Tamadon is an Assistant Professor specializing in Biomedical Device Design and Production Technology, contributing to the TechMed Centre. Their research focuses on medical robotics, implantable devices, and surgical systems, with a particular emphasis on innovations in artificial pancreas systems, telerobotic surgery, and non-invasive medical technologies. Tamadon’s work addresses UN Sustainable Development Goals related to healthcare and well-being through advancements in robotic manipulators, implantable drug delivery systems, and diagnostic tools. Key research areas include robotic-assisted surgery, hysteresis compensation in medical devices, and sensor integration for surgical safety. Notable contributions include developing magnetically docked ingestible capsules for implant refilling, optimizing artificial pancreas systems, and improving transesophageal echocardiography through multi-sensor technology. Tamadon has authored over 30 publications and holds patents in implantable device design. Recent work (2023–2025) highlights advancements in minimally invasive surgical techniques, early cancer detection via pulse oximetry, and biomechanical analysis of compression therapy for chronic venous insufficiency. Their research bridges engineering and clinical practice, with applications in cardiology, diabetes management, and surgical robotics.

Uriel Martinez HernandezView profile

Senior Lecturer

• Robotics
• Human-Robot Interaction
• Machine Learning
• +3 more

Uriel Martinez Hernandez is a Senior Lecturer in the Department of Electronic & Electrical Engineering at the University of Bath. He is affiliated with multiple research centers including the UKRI CDT in Accountable, Responsible and Transparent AI, The Foundry, Bath Institute for the Augmented Human, and the Centre for Bioengineering & Biomedical Technologies (CBio). His expertise spans robotics, autonomous systems, and machine learning, with a focus on tactile and vision perception, wearable assistive robotics, and human-robot interaction. Dr. Hernandez holds a PhD in Robotics and Machine Learning from the University of Sheffield (2015), an MSc in Computer Science from CINVESTAV (2008), and a BEng in Communications and Electronics Engineering from the National Polytechnic Institute (IPN) (2005). He has been a Visiting Researcher at Sheffield Robotics Laboratory since 2016. His research addresses challenges in multimodal sensor integration, robot learning, and assistive technologies for healthcare and manufacturing. His work contributes to UN Sustainable Development Goals related to Industry, Innovation & Infrastructure and Good Health & Well-being. Current research projects include multimodal human-robot collaboration systems, wearable robotics for telepresence, and AI-driven quality control in manufacturing. He has supervised over a dozen doctoral students and actively engages in interdisciplinary collaborations across engineering and biomedical fields.

Lars KooijmanView profile

Research Fellow

• Virtual Reality
• Psychophysiology
• Eye-tracking
• +4 more

Lars Kooijman is a Research Fellow at Impact Labs and a member of the Steering Committee at the Monash Business Behavioural Laboratory at Monash University. He holds a Doctoral Degree in Engineering from Deakin University (2020–2024), specializing in Vibrotactile stimulation for self-motion sensations in Virtual Reality. His research focuses on Virtual Reality methodologies, psychophysiology, and human factors, with contributions to neuropsychological assessment tools and workplace safety interventions. Key research areas include eye-tracking, multisensory processing, traffic psychology, and the application of Virtual Reality in education and healthcare. He has co-authored projects funded by the Australian Department of Social Services, focusing on leveraging VR for employment support for individuals with intellectual disabilities. His work addresses challenges in user experience safety, wearable medical devices, and algorithm optimization for motion cueing systems. He has received the Applied Ergonomics Journal Best Paper Award 2021 for contributions to human factors research. Collaborations span international institutions, with active involvement in driving simulation and pedestrian-vehicle interaction studies.

Dema GovallaView profile

Visiting Assistant Professor

• Medical Devices
• Artificial Intelligence
• Sensor Design
• +2 more

Dr. Dema Govalla is a Visiting Assistant Professor in Electrical and Computer Engineering at University of Nevada, Las Vegas. Her research focuses on medical device development with expertise in haptic feedback systems for robotic surgery. Research areas include biosymbiotic interfaces, tactile feedback mechanisms for minimally invasive procedures, and AI-assisted surgical systems. Publications demonstrate consistent focus on improving human-machine interactions in medical contexts through sensor technology innovations. Expert areas include: Research and Development of Medical Devices, Integrated Circuit Design, Digital Signal Processing, Artificial Intelligence, Sensor Design, Human-robot Interaction and Python Development.

Paul GreenView profile

Lecturer

• Bayesian Data Analysis
• Categorical Data Analysis
• Transportation Engineering
• +3 more

Paul Green is a Lecturer II in the Department of Statistics at the University of Michigan, affiliated with the College of Literature, Science, and the Arts. He earned his Ph.D. in Biostatistics from the same university in 1995. His research focuses on Bayesian data analysis, categorical data analysis, and applications in transportation systems. Key areas include driver behavior analysis, human factors in automotive interfaces, and emotion recognition via EEG signals. Education: Ph.D. in Biostatistics, University of Michigan, 1995 Research Interests: Bayesian statistical methodologies Driver cognitive load and fatigue Autonomous vehicle decision-making EEG-based emotion recognition Human factors in transportation safety Recent publications emphasize driver-brain interactions in high-speed rail environments, autonomous vehicle lane-change strategies using deep reinforcement learning, and tactile intervention systems for fatigue mitigation. His work bridges biostatistics with engineering, particularly in automotive human factors and simulation technologies. No scientific awards or grants are explicitly listed. No advisee students are recorded in the provided materials. His research extends to interdisciplinary topics like lifestyle mobilities of aging populations and standardization of driver evaluation protocols.

Marco GilardiView profile

Lecturer

• Immersive Technologies
• Extended Realities (XR)
• 3D Reconstructions
• +9 more

Marco Gilardi is a Lecturer in the School of Computing, Engineering and Physical Sciences at the University of the West of Scotland. His research expertise lies in Extended Realities (XR) and Spatial Computing, with a focus on developing accessible XR tools for education, industrial training, and cultural heritage applications. External Examiner, University of Chester (2021–present) Advisory Board Member, The VR Hive (2021–2022) Research interests include: XR Accessibility for non-technical audiences Immersive heritage experiences (e.g., Cutty Sark VR) Haptic feedback integration in VR XR applications in nursing education and mathematics Xr trends in publications: 2025: VR sign language studies, eye-controlled 3D viewers 2024: Pedagogical XR implementation challenges 2023: Gamified AR training, Industry 4.0 design reviews Scientific recognition includes Vice-Chancellor's Innovation Fund awards and Scottish Knowledge Exchange nominations. Collaborations span Smartify, Swagelok Scotland, and cultural institutions like the Scottish Crannog Centre.

Camilo Perez QuinteroView profile

Research Fellow

• Human-Robot Interaction
• Augmented Reality
• Virtual Reality
• +3 more

Camilo Perez Quintero is a Research Fellow at the University of British Columbia's CARIS laboratory, specializing in Human-Robot Interaction systems. His current work includes developing augmented reality multimodal interfaces for aerospace manufacturing in collaboration with the German DLR and creating sidewalk navigation solutions for delivery robots through a Mitacs industry partnership. Education: Ph.D. in Computing Science, University of Alberta, Canada (2017) His research centers on communication mechanisms for human-robot collaboration, with expertise in augmented reality interfaces, haptic feedback systems, and gesture-based control. He excels at translating theoretical concepts into functional prototypes through multidisciplinary teamwork, focusing on mission-critical applications in manufacturing and urban environments where safety and intuitive interaction are paramount. Analysis of his 15 most recent publications (2017-2022) reveals consistent innovation in robot trajectory programming through multimodal interfaces, with significant contributions to safe human-robot collaboration in manufacturing via virtual barriers and pedestrian-aware navigation for sidewalk robots. His work bridges computer vision, robotics, and human-centered design, demonstrating particular strength in integrating tactile feedback with AR/VR systems for industrial applications. Grants and Programs: Mitacs Accelerate program developing HRI systems for sidewalk mobile robots with industrial partner German DLR collaboration on aerospace manufacturing interfaces He operates within UBC's CARIS laboratory, collaborating with mechanical engineering researchers and international partners to advance practical robotics solutions for real-world deployment in constrained environments.

Oussama KhatibView profile

Professor

• Robotics
• Humanoid Robotics
• Human-Robot Interaction
• +5 more

Oussama Khatib is a Professor in the Department of Computer Science at Stanford University and Director of the Stanford Robotics Lab. His research focuses on advanced robotics control, human-friendly designs, and interactive systems. Key areas include humanoid robotics, haptic feedback, underwater exploration (e.g., OceanOne), and neuroscientific applications like Haptic fMRI. He leads a lab with over 50 students and alumni, contributing to projects such as the Simulation and Active Interfaces (SAI) framework and hybrid actuation systems. Research interests span control architectures, human-robot interaction, and applications in healthcare, disaster response, and oceanic discovery. Khatib’s work emphasizes safety, adaptability, and collaboration between robots and humans. Notable projects include OceanOne, a humanoid underwater robot that recovered artifacts from a 17th-century shipwreck, and the development of compliant control frameworks for multi-contact scenarios. His lab’s contributions include the SAI open-source framework for robotics simulation and control, as well as advancements in elastic planning and real-time motion adaptation. Khatib teaches courses like CS 223-A (Intro to Robotics) and CS 327-A (Advanced Robotics), emphasizing theoretical foundations and practical applications. Collaborations involve neuroscientists, engineers, and industry partners to bridge robotics with human capabilities. Current efforts explore next-generation human-centered robotics, including safer actuators and systems for surgical and assistive applications.

Skylar TibbitsView profile

Associate Professor

• Self-Assembly Technologies
• Programmable Materials
• 4D Printing
• +4 more

Skylar Tibbits is an Associate Professor of Design Research at MIT's Department of Architecture, where he leads undergraduate programs and co-directs the Self-Assembly Lab. His roles include teaching design studios and coordinating MIT's undergraduate Design programs. He is also an Assistant Director for Education at the Morningside Academy for Design. His work focuses on programmable materials and self-assembly technologies for manufacturing, construction, and product innovation. Education: Bachelor of Architecture (Professional Degree) from Philadelphia University with a minor in experimental computation Master of Science in Design Computation from MIT Master of Science in Computer Science from MIT, advised by Patrick Winston, Terry Knight, Erik Demaine, and Neil Gershenfeld Research Interests: Self-assembly systems and programmable material technologies 4D printing and shape-changing materials Robotics, smart manufacturing, and architectural applications Material agency and adaptive systems His lab explores innovations like reversible textile transformation, active haptic knits, and gel-supported 3D printing. Key Awards: R&D Magazine's 2015 Innovator of the Year National Geographic Emerging Explorer (2015) WIRED Fellow (2014) Fast Company Innovation by Design Award (2013) Advising & Labs: Director of MIT's undergraduate Design programs Founder and co-director of the Self-Assembly Lab Collaborates with industry leaders in architecture, robotics, and materials science Future Work: Expanding applications of programmable matter in construction, healthcare, and wearable technologies.

Guillaume MoreauView profile

Professor

• Computer Science
• Virtual Reality
• Augmented Reality
• +2 more

Guillaume Moreau is a Professor of Computer Science and Director of Research and Innovation at IMT Atlantique. He holds a PhD from the University of Rennes I and an engineering degree from ENSIIE. His research focuses on virtual/augmented reality at Lab-STICC, where he has authored 35+ publications and supervised 30+ theses. His work bridges fundamental computer science with industrial applications in training, urban representation, and human-computer interaction. Research spans virtual reality perception, industrial VR applications, assistive technologies, and human factors in immersive environments. Recent work investigates sensory feedback mechanisms, embodiment in VR, and applications in autonomous vehicles and healthcare. Publications demonstrate consistent focus on improving VR/AR interfaces through human-centered design and empirical validation. Collaborative projects frequently address industry-specific challenges in shipbuilding, training, and urban planning. Leads multidisciplinary teams at Lab-STICC to advance immersive technology foundations while maintaining strong industry partnerships.

• Computer Engineering
• Machine Learning
• Radar Signal Processing
• +2 more

Piotr Łuczak is a Researcher at the Institute of Applied Computer Science, Faculty of Electrical, Electronic, Computer and Control Engineering, Lodz University of Technology. His work bridges computer engineering, machine learning, and biomedical applications. Research spans VLSI systems for radar-based health monitoring, thermal imaging for industrial control, hyperdimensional computing frameworks, and neuromorphic approaches. Recent publications demonstrate strong interdisciplinary focus on hardware-efficient AI implementations. Article analysis shows consistent evolution in: (1) Radar-based biomedical sensing with novel signal processing; (2) Thermal imaging for industrial automation; (3) Hybrid AI models combining neural networks with symbolic methods; (4) Neuromorphic computing for edge devices; (5) Optimization techniques for efficient neural architectures; (6) Human-machine interaction systems.

Gerrit MeixnerView profile

Research Professor

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +3 more

Prof. Dr.-Ing. Gerrit Meixner is a Research Professor for Human-Computer Interaction at Heilbronn University's Faculty of Computer Science. He serves as Managing Director of the UniTyLab and Program Dean for the SEM Faculty. His research focuses on Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), and innovative interaction technologies, with applications in health, industrial training, and software development. He leads projects addressing usability engineering, rehabilitation systems, and AR/VR integration in industry 4.0 environments. Prof. Meixner's work emphasizes practical applications, including VR-based therapy for cerebral palsy, gamified alcohol disorder treatments, and ergonomic training solutions using HoloLens 2. He actively contributes to advancing AR/VR tools for CAD design, automotive interfaces, and smart factory systems. His research also explores human factors in virtual environments, including motion sickness mitigation in automated driving simulations and user experience optimization for industrial workflows. As a program dean, he oversees academic programs while advancing interdisciplinary research through the UniTyLab. Notable collaborations include projects with Audi AG for smartglass applications in manufacturing and AR systems for medical training. His contributions bridge academic research with real-world implementations, focusing on usability, accessibility, and technological innovation.