Find Academic Supervisors

• Neuroinformatics
• Cognitive Robotics
• Tactile Sensing
• +4 more

Prof. Dr. Helge Ritter is a distinguished Professor at the University of Bielefeld, holding multiple key positions across several departments and research centers. He is primarily affiliated with the Faculty of Engineering as part of the Neuroinformatics Group, and also serves as a CITEC Coordinator at the Center for Cognitive Interaction Technology. His work spans the Faculty of Psychology and Sport Science in the Department of Psychology (Unit 01 - Neurocognitive Psychology), and he contributes to the Joint Research Center on Cooperative and Cognition-enabled AI. His academic journey has positioned him at the forefront of interdisciplinary research that bridges engineering, cognitive science, and robotics. As a member of the Habilitation Committee and serving as Personal Deputy for Prof. Dr.-Ing. Ulrich Rückert on the Examination Boards for Biomechatronics (Master), he plays a significant role in academic governance and curriculum development. Research Interests Prof. Ritter's research spans the cutting-edge intersection of neuroinformatics, robotics, and artificial intelligence. His work focuses on cognitive robotics , tactile sensing systems , and human-robot interaction , with particular emphasis on how machines can perceive and interact with the physical world through touch and movement. His investigations into modular neural architectures and biologically inspired learning systems have significant implications for both theoretical neuroscience and practical robotics applications. His current research trajectory demonstrates a strong focus on transfer learning between simulation and reality , multi-fingered manipulation , and adaptive kinematic modeling . These efforts contribute to the broader Socio-Technical World research area at Bielefeld University, which 'researches capabilities and mechanisms that enable agents such as humans, robots and AI to act, communicate and learn in complex environments.' Academic Contributions Coordinator at the Center for Cognitive Interaction Technology (CITEC) Member of the Habilitation Committee in the Faculty of Engineering Personal Deputy for Examination Boards in Biomechatronics (Master) Contributor to the Joint Research Center on Cooperative and Cognition-enabled AI Prof. Ritter's work exemplifies Bielefeld University's commitment to 'Transcending Boundaries' between disciplines, people, and science and society. His research bridges theoretical neuroscience with practical robotics applications, creating innovative solutions for human-robot collaboration and cognitive systems.

Mike Y ChenView profile

Professor

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +5 more

Mike Y Chen is a full Professor in the Department of Computer Science and Information Engineering at National Taiwan University (NTU), where he leads the Mobile Human-Computer Interface Laboratory (NTU HCI Lab). He holds a PhD in Computer Science from UC Berkeley and a Certificate in Management of Technology from the Haas School of Business, UC Berkeley. His research sits at the intersection of human-computer interaction, AI, design, psychology, and mobile/wearable/VR/AR systems . Education PhD in Computer Science, UC Berkeley Certificate in Management of Technology, Haas School of Business, UC Berkeley Research Interests Professor Chen’s group explores future user interfaces that seamlessly blend digital and physical experiences. Core themes include: Advanced haptic feedback systems for VR/AR, using air jets, EMS, and novel actuators to create realistic sensations. Mobile and wearable interaction , including smart glasses, on-body sensors, and handheld devices. AI-driven design tools that leverage generative models to support creative workflows. Accessibility & ergonomics , crafting personalized and inclusive interactions. Publication Trends His recent work (2020-2025) focuses on haptics in VR/AR and AI-assisted design . Notable contributions include award-winning papers on air-propelled force feedback (AirRacket) , EMS-based haptics (Paired-EMS) , and generative-AI interior design tools (RoomDreaming) . The lab consistently publishes at top venues—ACM CHI, UIST, DIS, SIGGRAPH—demonstrating leadership in both technical innovation and user experience. Scientific Awards & Honors ACM CHI Best Paper Awards (2020, 2022) ACM CHI Honorable Mention Awards (2020, 2021, 2023) ACM DIS 2024 Best Paper Award UIST Best Talk Award 科技部吳大猷研究獎 Outstanding Young Researcher Award Google & Microsoft rank NTU HCI Lab in top 25 of 2000 NTU research groups Academic Service & Outreach Professor Chen has served as Journals Chair for CHI 2025, Sub-committee Chair for CHI 2020 & 2021, and Program Co-chair for MobileHCI 2019. He actively mentors students through the university research+culture summer internship program , guiding them toward top graduate schools and Silicon Valley careers. Labs & Teams He directs the Mobile Human-Computer Interface Laboratory (R336, NTU), an interdisciplinary group that integrates design thinking, AI, psychology, and hardware-software co-design to create next-generation interactive systems.

Lorenzo RosascoView profile

Professor

• Machine Learning
• Artificial Intelligence
• Robotics
• +5 more

Lorenzo Rosasco is a Full Professor at the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS) at the University of Genoa. He holds roles including University contact for the thematic area "Artificial Intelligence" and membership on the Department Board. His research focuses on machine learning theory, kernel methods, optimization, robotics, and their applications in control systems, domain adaptation, and interdisciplinary fields like biomedical engineering. His educational background includes advanced expertise in mathematical foundations of machine learning, though specific academic credentials are not detailed here. Teaching responsibilities include courses such as MACHINE LEARNING, SEQUENTIAL PREDICTION AND REINFORCEMENT LEARNING, and INFORMATION THEORY AND INFERENCE at both undergraduate and graduate levels. Research interests revolve around developing efficient algorithms for large-scale machine learning, including iterative regularization, transfer learning, and control systems using Koopman operator theory. Notable contributions include work on fast kernel methods, optimization in neural networks, and applications in robotics for tasks like humanoid locomotion and tactile sensing. Recent publications explore topics such as double descent phenomena, sim-to-real transfer learning, and adaptive control strategies. His work bridges theoretical insights with practical applications, emphasizing computational efficiency and interdisciplinary impact.

• Computer Vision
• Generative Modeling
• Multimodal Foundation Models
• +4 more

Jiankang Deng is a Lecturer in the Department of Computing at Imperial College London, within the Faculty of Engineering. His research focuses on multi-modality foundation models, generative modeling of physical entities, and computer vision applications. He leads projects such as InsightFace.ai for facial analysis and synthesis. Previously, he earned his PhD (2020) from Imperial College under Prof. Stefanos Zafeiriou, focusing on deep face analysis and modeling. Education: PhD in Computing (2016-2020) from Imperial College London. Research interests include photorealistic facial reconstruction, generative adversarial networks, and multimodal learning. His work bridges computer vision with practical technologies for societal impact. Publications reflect expertise in 3D reconstruction, diffusion models, and cross-modal systems. Notable areas include hand motion analysis, face reflectance estimation, and tactile robotics. His work emphasizes scalability and real-world applicability. No awards listed explicitly, but his research contributions are evident through active publications and industry collaborations. Advising and lab work involve the IBUG research group, focusing on facial recognition and generative AI systems. Labs/Teams: Part of the Imaging and Biomedical Engineering Group (IBUG), collaborating on projects like FaceMAE for privacy-preserving recognition and MogFace for advanced face detection systems.

• Neuroscience Nursing
• Biomimetics
• Wound Care
• +3 more

Andrea Shepherd is a Senior Lecturer and Head of the School of Nursing and Paramedic Science at Ulster University, specializing in neuroscience nursing, biomimetics, and interprofessional education. She works at the Derry~Londonderry campus and contributes to the Institute of Nursing and Health Research. Role: Senior Lecturer, Head of School of Nursing and Paramedic Science Institution: Ulster University Location: Derry~Londonderry campus, Londonderry, United Kingdom Contact: a.shepherd@ulster.ac.uk, +44 28 7167 5197 Her research explores neurological assessment tools, such as the Glasgow Coma Scale, and biomimetic technologies for vital sign monitoring. She investigates brain-computer interfaces for disorders of consciousness and family experiences in critical care. Key trends in her recent publications include advancements in neuroscience nursing, interprofessional education models, wound care innovations, and tactile sensing technologies for clinical diagnostics. Collaborative international research features prominently. Notable Work: International standardization of neurological assessments Technologies: Biomimetic fingertip sensors for pulse and capillary refill time measurement Educational Contributions: COIL initiatives to enhance interprofessional learning She organizes academic events like the Interprofessional Education (IPE) Festival, fostering interdisciplinary collaboration. Her work aligns with UN Sustainable Development Goals in global health and education equity.

Ferat SahinView profile

Professor

• Collaborative Robotics
• Human Compliant Robotics Systems
• Deep Learning
• +8 more

Dr. Ferat Sahin is a Professor and Department Head of Electrical and Microelectronic Engineering at the Kate Gleason College of Engineering, Rochester Institute of Technology (RIT). He directs the Multi Agent Bio-Robotics Laboratory and Century Mold Collaborative Robotics Laboratory. His research focuses on collaborative robotics, machine learning, and system of systems engineering. He has over 140 publications, co-authored two books, and secured over $2 million in research funding. Dr. Sahin is a senior member of IEEE, holding leadership roles such as Deputy Editor-in-Chief of International Journal of Computers and Electrical Engineering and former Secretary of IEEE SMC Society. He received the Outstanding Contribution Award in 2007 and 2015 for his service. Education: Bachelor’s degree from Istanbul Technical University Master’s and Ph.D. from Virginia Polytechnic Institute and State University Research Interests: Dr. Sahin’s work spans collaborative robotics , human-compliant systems , deep learning for biosignals , and fault analysis . His labs develop advanced robotics solutions with applications in manufacturing and healthcare. Recent projects include human comfort index estimation and emotion-aware human-robot collaboration frameworks. Grants & Funding: Key grants include support from MKS ENI Inc. ($29,907–$48,674) and NYSTAR ($60k–$64k) for robotics and materials research. He also secured industry partnerships through RoboCamps and company gifts. Labs & Teams: Directs two robotics labs at RIT, fostering interdisciplinary projects with students and industry. Current initiatives include multi-agent systems and tactile sensing for industrial robots.

Eelke FolmerView profile

Professor

• Human-Computer Interaction (HCI)
• Virtual Reality
• Accessibility Technology
• +5 more

Eelke Folmer is a Professor and Chair in the Department of Computer Science & Engineering at the University of Nevada, Reno (UNR), part of the College of Engineering. He leads the HCI Lab, which focuses on human-computer interaction, virtual reality (VR), and accessibility technologies. His research addresses challenges such as VR-induced sickness, spatial navigation, and neurovestibular perception in collaboration with UNR's Neuroscience department. Research interests include virtual locomotion, accessibility for visually impaired users, eye-tracking applications, and sensory substitution systems. His work is supported by grants from the National Science Foundation (NSF), Google, Mozilla Foundation, and UNR. Key projects include developing low-cost VR positional tracking (StereoTrack), studying gender differences in VR experiences, and creating navigation aids for blind users. Notable contributions include the design of accessible exergames for children with visual impairments and the development of Haptic Target Acquisition systems. His lab also explores underwater VR systems for neutral buoyancy training and has published extensively on telepresence, tactile feedback, and non-visual interfaces. Advising highlights include mentoring Nathan in VR locomotion research. Collaborations span interdisciplinary teams in computer science, neuroscience, and engineering. The lab's work emphasizes real-world applications, such as drone-guided navigation for athletes and inclusive gaming interfaces.

Seongkook HeoView profile

Assistant Professor

• Human-Computer Interaction
• Haptics
• Sensing Technologies
• +3 more

Seongkook Heo is the Alfred Weaver Career Enhancement Assistant Professor in the Department of Computer Science at the University of Virginia. His primary research focuses on Human-Computer Interaction (HCI), with an emphasis on developing novel sensing techniques, haptic feedback systems, and interactive technologies. He directs the Ultimate User Interface Lab, aiming to bridge physical and digital worlds through advanced interaction methods. He holds a Ph.D. in Computer Science from KAIST (2017), supervised by Prof. Geehyuk Lee. Prior roles include postdoctoral research at the University of Toronto's DGP Lab under Prof. Daniel Wigdor and industry internships at Samsung Advanced Institute of Technology, Microsoft Research, and Autodesk Research. Key research areas include tactile interfaces, gesture recognition, and assistive technologies. His work has been recognized with awards such as the ACM CHI Best Paper Award, ACM MobileCHI Best Paper Award, and the Meta Research Award. He teaches courses on HCI and interactive technologies at UVA. His Ultimate User Interface Lab explores cutting-edge projects like MoiréTag for tangible interactions, Thing2Reality for XR communication, and Take My Hand for visually impaired navigation. Collaborative tools like Openmic and ThingShare enhance remote collaboration through spatial and object-sharing innovations.

Abhinav GuptaView profile

Professor

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +5 more

Abhinav Gupta is a Professor at Carnegie Mellon University's Robotics Institute, specializing in Computer Vision, Machine Learning, and Robotics. His research focuses on scene understanding, human-centric vision, and language-vision interactions. He leads projects like NEIL and has developed tactile skins like ReSkin. His work emphasizes self-supervised learning, robot manipulation, and visual learning. Education & Positions: PhD from CMU, postdoc at CMU, former affiliations with UMD and UPenn. Current roles include teaching courses like Visual Learning and Recognition. Research Interests: 3D scene representation, affordances, visual-language links, and robotics applications. His lab explores topics like tactile sensing, robot exploration, and generalizable manipulation through projects such as Track2act and Gen2act. Awards & Recognition: Includes the JK Aggarwal Prize (2020), ONR Young Investigator Award (2018), and Okawa Grant. His work on NEIL earned CNN's Top 10 Ideas of 2013. Students & Collaborations: Advised over 20 PhD/Master's students and postdocs. Notable former advisees include David Fouhey, Xiaolong Wang, and Lerrel Pinto. Collaborations with institutions like Meta AI and UIUC. Key Projects: NEIL (Never Ending Image Learner), Curious Robot, and ReSkin tactile skins. His research bridges theory and practice, with applications in robotics, computer vision, and AI systems.

Mark CutkoskyView profile

Professor

• Robotics
• Biomimetics
• Tactile Sensing
• +5 more

Mark Cutkosky is the Fletcher Jones Professor in the School of Engineering at Stanford University. His research focuses on bioinspired robotics, tactile sensing, and advanced manufacturing. He leads the Biomimetics and Dexterous Manipulation Lab, developing innovative robotic systems for applications in healthcare, space exploration, and industrial automation. Education: PhD in Mechanical Engineering, Carnegie Mellon University (1985) Research Interests: Cutkosky designs robots and sensors inspired by biological systems, such as gecko-inspired adhesives and whisker-like tactile sensors. His work emphasizes practical applications, including MRI-compatible teleoperators for medical procedures, miniature implantable sensors for cardiac monitoring, and robots for Martian cave exploration. He also explores soft robotics, haptic interfaces, and rapid prototyping tools. Key Projects: ReachBot: A compact robot for extreme environments like Martian lava tubes Gecko-inspired adhesives for space and industrial gripping VITALS: Implantable sensor networks for post-surgical cardiac care Grants & Labs: His lab has pioneered tactile sensor networks and bioinspired design frameworks. Current work includes collaborative projects on surgical robotics, biomedical devices, and materials science.

• MEMS Resonators
• Haptic Actuators
• Nanomechanical Systems
• +1 more

Dong Su is Professor of Particle Physics and Astrophysics at Stanford University, affiliated with the SLAC National Accelerator Laboratory. His research focuses on microelectromechanical systems (MEMS), including resonant sensors, haptic actuators, and thermal management solutions. Research spans the development of tunable haptic devices for enhanced tactile feedback, MEMS resonator optimization for improved stability and efficiency, and thermal management in silicon-based systems. Recent innovations include resonant frequency tuning techniques and vibration amplification methods. Publications demonstrate consistent focus on improving MEMS performance through material engineering, structural optimization, and control systems. Work shows strong applications in human-computer interfaces, sensing technologies, and precision instrumentation.

Katrin WolfView profile

Professor

• Human-Computer Interaction
• Virtual Reality
• Augmented and Mixed Reality
• +4 more

Prof. Dr.-Ing. Katrin Wolf is a Professor of Human-Computer Interaction at Berlin University of Applied Sciences and Technology (BHT). Previously, she held professorships at Hamburg University of Applied Sciences and Berlin University of Art and Design, serving as Vice Dean of Research. Her work focuses on novel technologies in HCI, including VR/AR/MR, wearable systems, and interactive exhibitions. She has led projects funded by DFG, BMBF, and EU, such as Real-time Intersensory Discomfort Compensation (DFG) and HapticIO (BMBF). Wolf’s research emphasizes intuitive interaction paradigms for digital tools, with applications in healthcare, cultural education, and smart environments. Education: PhD from T-Labs (TU Berlin), Postdoc at University of Stuttgart (2014-2015) Key roles: Program Chair (CHI 2021, TEI 2021), General Chair (MuC 2019) Research interests span haptic feedback, gesture control, and mixed reality interfaces. Notable projects include WINK (gesture wristband) and KIMRA (mixed reality exhibition design). Her work bridges art and science, as seen in exhibitions like 'art meets science' (2014) and 'Media Spaces' (ARS Electronica 2016). Publications emphasize multimodal interaction, including haptic surfaces, microgestures, and avatar-based self-perception. Awards include recognition through conference leadership and funded projects totaling over €10M in grants.

• Autonomous Systems
• Vehicle Dynamics
• Control Engineering
• +7 more

Katzourakis Diomidis is an Assistant Professor at the School of Production Engineering and Management (PEM) at the Technical University of Crete. His work focuses on autonomous systems, vehicle dynamics, and control engineering with an emphasis on automotive safety and fault-tolerant architectures. He holds an academic appointment within the PEM department and contributes to systems engineering research for cyber-physical vehicles. Research interests prominently feature autonomous driving optimization, actuator redundancy strategies, haptic feedback systems, and safety-critical control protocols. His publications span topics like motion planning constraints, steering assistance interfaces, and emergency maneuver mitigation. Recent work explores AI supervision frameworks (SSuperLLM) for autonomous vehicles and yaw rate-based suspension control systems. Key technical contributions include sensor fusion strategies for degraded position estimation, variable motion control envelopes, and redundant actuator architectures. He has developed experimental platforms for stability control validation and collaborated on open-source scaled automobile testbeds.

Raimund EdlingerView profile

Researcher

• Robotics
• Autonomous Systems
• Rescue Robotics
• +2 more

Raimund Edlinger is a research-focused academic at the University of Applied Sciences Upper Austria, Wels campus, affiliated with the Research Center Wels. He leads the Center of Excellence for Automotive/Mobility and Smart Production, with specialized focus areas in Digital Transformation, Rail Automation, Telematics, and Smart Automation and Robotics. His interdisciplinary work bridges engineering and practical robotics applications across diverse environments. Edlinger's research centers on advancing robotics for real-world challenges, particularly in GNSS-denied scenarios and hazardous environments. His expertise spans autonomous navigation, sensor fusion (LiDAR, thermal imaging, tactile systems), and human-robot interaction, with significant contributions to rescue robotics, underground mapping, and space analog missions. Recent work emphasizes digital twin applications for Mars simulations and tactile terrain assessment to enhance robot mobility in complex terrains. Analysis of his publication trends reveals a strategic shift toward multi-sensor integration for reliability in adverse conditions (e.g., smoke, narrow tunnels, Mars analogs). His 2022-2025 output shows concentrated effort in practical deployment challenges: casualty evacuation systems, nuclear disaster response, and cost-effective sensing solutions, reflecting strong industry and emergency response collaboration. His competitive robotics achievements include: 1st place EnRicH 2021 (Manipulation category) Multiple RoboCup podium finishes (2015-2022) in Rescue League and Best-in-Class Manipulation German Open championship recognitions across five consecutive years Edlinger directs significant research initiatives including the active MOBES project (Mobile Erdstall Scanner, 2025-2026), MARK Racing Team, and Autility platform development, funded by Austria's Climate and Energy Fund and ICT programs. He supervises student research while contributing to national robotics strategy through activities like ÖBFV Führungsseminar workshops on digitalization. His work is operationalized through the RRT-Roboto-Racing Team and specialized labs within Research Center Wels, featuring underground structure simulators, Mars analog testbeds, and sensor calibration facilities for extreme environments. Current projects integrate 5G communication and AI-driven manipulation for next-generation rescue systems.

• Haptics
• Virtual Reality
• Human-Computer Interaction
• +7 more

Victor Adriel de Jesus Oliveira is a Lecturer at the Department of Media and Digital Technologies , Institute of Creative Media and Technologies , St. Pölten University of Applied Sciences . He holds a PhD in Computer Science (2018) and MSc/BSc in Computer Science from Brazilian institutions. Research Focus: Haptics, 3D user interfaces, virtual reality, tactile communication systems, and tele-rehabilitation technologies. Projects: Involved in EU-funded initiatives like AniVision , CLEA , and IoT4LAC , focusing on smart data applications and environmental action. His recent publications emphasize multimodal visualization for facility management, sonification in rehabilitation, and data experience through comics. He contributes to IEEE and Springer conferences, bridging human-computer interaction and clinical applications .