جست‌وجوی استاد و پژوهشگر

• Serious Games
• Gamification in Healthcare
• Medical Informatics
• +۵ مورد دیگر

Rene Baranyi is a PostDoc Researcher at TU Wien's Institute of Information Systems Engineering, affiliated with the Faculty of Informatics. He holds a Dr.techn. (PhD) and Dipl.-Ing. (Master's) in Technical Informatics. His primary roles include contributing to the Faculty Council as a Substitute Member and serving on the Curriculum Commission for Informatics. Baranyi's research focuses on integrating Serious Games and Gamification into healthcare, with over 60 developed applications in medical informatics, rehabilitation, and lifestyle medicine. Key areas include exergame development for physical therapy, mobile health solutions for chronic disease management, and digital platforms for medical education. His work bridges game design principles with medical needs, addressing rehabilitation (e.g., stroke, wrist injuries), nutrition awareness, and mental health support. Recent innovations include VR-based wrist therapy systems, gamified stress reduction apps, and AI-driven boxing technique analysis gloves. His research emphasizes accessibility, user-centered design, and cross-disciplinary collaboration with clinicians and engineers. Baranyi has supervised over 20 diploma theses on topics ranging from smart wake-up systems to self-sovereign identity infrastructure for eHealth. He teaches advanced courses on healthcare IT infrastructure and health care information systems at TU Wien. His lab work involves developing low-cost, scalable solutions for rehabilitation and prevention using consumer electronics (e.g., Wii Balance Board). Current projects explore gamified apps for multiple sclerosis patients and AI-enhanced motion analysis in sports medicine.

John K. Tsotsosمشاهده پروفایل

استاد پژوهشی

• Computer Vision
• Visual Attention
• Active Visual Search
• +۵ مورد دیگر

John K. Tsotsos is a Distinguished Research Professor at York University's Lassonde School of Engineering, holding positions in both the Department of Electrical Engineering & Computer Science and the Centre for Vision Research (CVR). His work bridges computer science, cognitive science, and neuroscience with a focus on visual attention and active vision systems. Dr. Tsotsos's research interests center on visual attention mechanisms, active visual search, and visuospatial reasoning. His work explores how humans and machines process visual information, with applications in autonomous driving, robotics, and human-computer interaction. He investigates the computational principles underlying visual attention, comparing biological systems with artificial implementations. His research has significant implications for developing more human-like computer vision systems that can effectively navigate and interpret complex visual environments. Analysis of his recent publications reveals a strong focus on active vision systems where observers dynamically control their viewpoints during visual search tasks. His work spans both theoretical foundations of visual attention and practical applications in autonomous vehicles. A significant portion of his recent research addresses driver attention modeling, gaze prediction, and the challenges of real-world visual processing where traditional computer vision approaches often fail. His work consistently bridges cognitive theory with practical engineering applications. Dr. Tsotsos has made substantial contributions to the field of computational vision through his theoretical work on attentional mechanisms and their implementation in artificial systems. His research has influenced both academic understanding of visual processing and practical applications in autonomous systems and human-machine interfaces. As a faculty member at York University, Dr. Tsotsos contributes to the vibrant research ecosystem of the Centre for Vision Research, where interdisciplinary teams work on cutting-edge problems in visual perception, cognitive modeling, and machine vision. His work exemplifies the integration of cognitive science principles with advanced computational techniques to solve complex visual processing challenges.

Mark A. Minorمشاهده پروفایل

دانشیار

• Robotics
• Mobile Robotics
• Autonomous Vehicles
• +۵ مورد دیگر

Mark A. Minor is an Associate Professor in the Department of Mechanical Engineering at the University of Utah's College of Engineering, where he serves as Director of the Robotics Systems Lab and Coordinator of the Robotics Track within Mechanical Engineering. His research spans multiple domains of robotics including climbing robots, terrain adaptable mobile robots, virtual interfaces, autonomous vehicles, and flying robots. The Robotics Systems Lab under his direction synergizes design, modeling, and control to create novel robotic embodiments with enhanced adaptability, mobility, and immersion. Dr. Minor's research focuses on the synergistic integration of design, modeling, and control of robotic systems. His lab specializes in several types of robotic systems including climbing robots, terrain adaptable mobile robots, virtual interfaces, autonomous vehicles, and flying robots. With extensive expertise in the design and control of under-actuated nonholonomic systems, kinematic motion control, dynamic motion control, state estimation, sensor development, and data fusion, his work pushes the boundaries of what robotic systems can achieve in challenging environments. His research portfolio demonstrates a consistent focus on practical robotic applications across multiple domains. Recent work shows increasing emphasis on immersive virtual environments with wind, olfactory, and thermal displays, as well as sophisticated control systems for autonomous vehicles and terrain-adaptive locomotion. The integration of haptic feedback, multi-sensory stimulation, and soft robotics components represents an emerging trend in his research trajectory, bridging the gap between physical robotics and human perception. Dr. Minor has successfully advised numerous graduate students through completion of their degrees, with alumni now working at institutions including Harbin Institute of Technology, University of Utah, Orbital Sciences Corporation, and Western Digital Corporation. His research has been supported by prestigious sponsors including the National Science Foundation, NASA, Army Night Vision Lab, and industry partners such as ATK Launch System and Kairos Autonomi. The Robotics Systems Lab, directed by Dr. Minor, maintains several active research projects including Hybrid Mobility Research (investigating robots capable of rolling, walking, and climbing), Autonomous Vehicle Research (particularly related to the DARPA Urban Challenge), Traction Sensing and Control in Wheeled Mobile Robots, Immersive Virtual Environments (including the TreadPort Active Wind Tunnel), and Compliant Framed Modular Mobile Robots. The lab continues to push the boundaries of robotic mobility, control, and human-robot interaction.

Gunar Schirnerمشاهده پروفایل

دانشیار

• Embedded Systems
• Cyber-Physical Systems
• Hardware/Software Co-Design
• +۴ مورد دیگر

Gunar Schirner is an Associate Professor of Electrical and Computer Engineering at Northeastern University's College of Engineering . He holds a Ph.D. and M.S. from the University of California, Irvine, and a B.Sc. from Berufsakademie Berlin. His research focuses on embedded systems, cyber-physical systems, and hardware/software co-design, with emphasis on embedded vision and system-level methodologies. Education: Ph.D. & M.S. in Electrical and Computer Engineering, University of California, Irvine (2008, 2005) Bachelor's in Computer Engineering, Berufsakademie Berlin, Germany (1998) Research Interests: Embedded system modeling, real-time AI on edge devices, accelerator-rich computing architectures, and assistive robotics. His work bridges algorithm design with system-level implementation, including projects on neural-controlled prosthetics and marine mammal monitoring via passive acoustic sensing. Grants & Collaborations: Schirner leads/navigate grants totaling over $2M from the National Science Foundation (NSF), U.S. Army, and Office of Naval Research, including a $13M Army contract for distributed sensing research. He co-directs the Embedded Systems Laboratory , advancing heterogeneous platform design and embedded vision systems. Students & Impact: His advisees, including Mo Han and Yagmur Gunay, have won best paper awards at PETRA 2019. He actively integrates industry experience (e.g., Alcatel-Lucent) into teaching, mentoring students in both academia and industry.

• Sound Synthesis
• Physical Modeling
• Virtual Reality Audio
• +۶ مورد دیگر

Cumhur Erkut is an Associate Professor in the Sound and Music Computing group within the Department of Architecture, Design and Media Technology at Aalborg University, Copenhagen, Denmark. With a publication record spanning over two decades from 2000 to present, his research bridges computer science, audio engineering, and creative arts. His primary research interests include Sound Synthesis, Physical Modeling of musical instruments, Virtual Reality Audio, Sonic Interaction Design, and Embodied Interaction. His work demonstrates a consistent focus on the intersection of technology and human experience, particularly in how sound and movement interact in digital environments. His recent publications show a strong shift toward AI-driven audio processing, voice conversion, and differentiable digital signal processing techniques. Dr. Erkut's publication trends reveal an evolution from traditional physical modeling of musical instruments (particularly string instruments like tanbur, clavichord, and guitar) toward more contemporary applications in virtual reality, embodied interaction, and AI-powered audio processing. His work consistently emphasizes real-time performance considerations and human-centered design principles. He has served in significant academic roles, including organizing the 17th International Conference on New Interfaces for Musical Expression (NIME 2017) at Aalborg University, demonstrating his leadership within the international research community. His collaborative network is extensive, with frequent co-authorship with Stefania Serafin, Vesa Välimäki, Antti Jylhä, Rolf Nordahl, and other prominent researchers in the sound and music computing field. These collaborations span multiple institutions across Europe, reflecting the international nature of his research.

• Virtual Reality
• Computer Graphics
• Augmented Reality
• +۴ مورد دیگر

Arnulph Fuhrmann is a Professor in Computer Science at Technische Universität Darmstadt. His research focuses on Virtual Reality (VR), Augmented Reality (AR), and advanced rendering techniques. He holds a Ph.D. in Computer Science (2006) from TU Darmstadt, with his dissertation titled Interaktive Animation textiler Materialien (Interactive Animation of Textile Materials). His work spans topics such as real-time rendering optimization, collision detection for deformable objects, and immersive systems for sign language communication. Notable contributions include studies on diffraction phenomena simulation, impostor-based rendering acceleration, and hybrid rendering techniques combining rasterization and ray-tracing. His research often addresses challenges in visual quality, performance, and user interaction in VR/AR environments. Recent articles highlight advancements in diminished reality systems, facial feature enhancement for avatars, and collaborative mixed reality frameworks. Fuhrmann collaborates extensively with institutions like RWTH Aachen and researchers in fields like human-computer interaction and computer vision. His work emphasizes practical applications of theoretical advancements, such as tools for software visualization in VR and accessibility solutions for deaf/hard-of-hearing users.

• Virtual Reality
• Augmented Reality
• Educational Technology
• +۷ مورد دیگر

Roghayeh Barmaki is a researcher with extensive publications in virtual reality, augmented reality, and educational technology. Her work spans rehabilitation systems, autism therapy, and neuroimaging analysis using fNIRS. She collaborates with institutions including Georgia Institute of Technology and University of Florida. Key Collaborators : Anjana Bhat, Jicheng Li, Shayla Sharmin, Vuthea Chheang Research Themes : Wearable sensors, LSL framework, movement synchrony, multimodal learning analytics Research Interests She focuses on immersive technologies for education and therapy, with expertise in: Functional Near-Infrared Spectroscopy (fNIRS) for cognitive engagement Wearable sensor integration in rehabilitation Gender perspectives in AR/VR education Multimodal affect analysis for autism Privacy-preserving behavioral analytics 3D visualization for anatomy training Publication Trends Recent work emphasizes fNIRS applications in gaming environments and hybrid deep learning models for cognitive analysis. Earlier studies focused on gesture recognition, movement synchrony estimation, and autism intervention datasets. Impactful Projects She developed the MMASD dataset for autism research and contributed to VR therapy systems. Her collaborations include: Georgia Tech's Autism Technology Research University of Florida's TeachLivE virtual classroom Germany's AIxVR conference contributions International collaborations on sensor systems

• Human-Computer Interaction (HCI)
• Human-AI Interaction
• Information Visualization
• +۴ مورد دیگر

Professor Damien Masson is an Assistant Professor in Human-Computer Interaction (HCI) at the Université de Montréal , affiliated with Mila and IVADO . He leads the Montréal HCI group and focuses on interactive systems for AI, document interaction, and software learning. His research bridges HCI principles with AI to enhance user experience in complex applications. Education : PhD in Computer Science (University of Waterloo, 2019-2023), MSc in Computer Science (Université de Lille, France), BSc in Computer Science (Université de Lille, France). Research Interests : Designing intelligent systems (e.g., DirectGPT), visualizing information (e.g., Charagraph/ChartDetective), and augmenting digital documents (e.g., Chameleon). He explores how interface metaphors and direct manipulation can improve interactions with AI and data. Recent Work : His 2025 CHI papers introduced Textoshop (drawing-inspired text editing) and linked writing tools to user needs. In 2024, DirectGPT demonstrated faster LLM interactions via direct manipulation. Earlier work includes Statslator (statistical reporting) and ChartDetective (data extraction from vector charts). Awards : 2024 Bill Buxton Award (best HCI dissertation), 2023 CHI Best Paper (ChartDetective), and 2020 CHI People's Choice Award (Chameleon demo). Lab & Collaborations : Based in the André-Aisenstadt building, his group collaborates with institutions like Mila and UWaterloo. He actively mentors students in HCI and AI-related projects.

Hillel Chielمشاهده پروفایل

استاد

• Neural Networks
• Electrophysiology
• Biomechanics
• +۷ مورد دیگر

Hillel Chiel is a Professor at Case Western Reserve University with joint appointments in the Department of Biology (College of Arts and Sciences), Department of Neurosciences (School of Medicine), Department of Biomedical Engineering (Case School of Engineering), and the Neural Engineering Center. His office is located in DeGrace Hall Room 304. Dr. Chiel leads a research laboratory focused on understanding how the brain and body generate adaptive behavior through neurophysiology, computational modeling, biomechanics, and robotics. Key research areas include: Neural control of feeding in Aplysia californica using MRI and 3D modeling Biologically-inspired robotic systems mimicking animal mechanics Wireless neural recording/stimulation techniques Infrared neural inhibition and thermal modulation of neural activity Neuromechanics of multifunctional behaviors His recent publications (2019-2021) demonstrate strong interdisciplinary focus on: computational neuroscience, infrared neural modulation techniques, biomechanics of invertebrate feeding systems, biomimetic robotics, and neuroprosthetic applications. Research consistently integrates experimental neurobiology with engineering principles.

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

Dr Theo Teo is a Research Fellow at the University of South Australia , specializing in Virtual Reality , Augmented Reality , and Human-Computer Interaction . He is affiliated with the UniSA STEM division and actively supervises research degrees. His research explores multimodal interaction , virtual embodiment , and remote collaboration in immersive environments. Recent work focuses on EEG-based preference decoding , gaze-oriented parallel views , and haptic feedback systems . Theo's publications span VR collaboration techniques , AR input interfaces , and embodiment experiments , emphasizing sensory feedback , social interaction , and task optimization in virtual environments.

David Soutoمشاهده پروفایل

مدرس

• Vision Science
• Psychophysics
• Eye Movement Control
• +۶ مورد دیگر

Dr. David Souto is a Lecturer in Vision Science and the Research Group Lead of the Vision Sciences Research Group at the University of Leicester's School of Psychology and Vision Sciences. He holds a PhD from the University of Geneva (2009) and has conducted postdoctoral research at University College London (UCL). His work focuses on dynamic vision mechanisms, using psychophysical methods and eye-tracking to investigate how humans perceive motion and select task-relevant visual information during eye movements. Applied research includes assistive communication technology (collaborating with Barnsley Hospital and Dundee University) and pedestrian road-crossing perception. Education PhD in Vision Science, University of Geneva, 2009 Postdoctoral Research at UCL, followed by a lectureship at the University of Leicester since 2013 Research Interests Eye movement control and visuo-motor learning Perception of motion during smooth pursuit Applications in human-computer interaction and road safety Open Science advocacy and methodology Awards & Grants Alexander von Humboldt-Stiftung Fellowship British Academy and Swiss National Science Foundation grants ESRC (IAA) funding for gaze-typing research Advising & Labs Supervises PhD students in vision science and assistive technology Directs the VisuoMotor Lab, exploring visuo-motor interactions in naturalistic and VR environments

Elizabeth Jochumمشاهده پروفایل

دانشیار

• Human-Robot Interaction
• Health Technology
• Art and Technology
• +۴ مورد دیگر

Elizabeth Jochum is an Associate Professor at the Department of Communication and Psychology, Aalborg University, within the Faculty of Social Sciences and Humanities. She heads the Research Laboratory for Art and Technology (RELATE) and coordinates projects like the European ABRA initiative on Artificial Biology, Robotics, and Art, and the ImprovAIze project linking machine learning with dance and wearables. Her research bridges visual/performing arts with robotics and assistive technologies to foster human-centered, value-sensitive designs addressing societal needs. Education: PhD in Theatre (University of Colorado Boulder, 2013), MA in Theatre (2008), BA in Theatre and Italian (Wellesley College, 2001). Research focuses on transdisciplinary collaboration in human-robot interaction, health, and engineering. Notable projects include CRERoB (Center for Rehabilitation Robotics) and AHH (Arts, Health, and Humanities cluster). She also serves as a Part-Time Lecturer at IT University of Copenhagen (2016). Awards: Recognized among the Top 50 Women in Robotics by Robohub (2021). Key contributions span creative robotics in theatre, socially assistive robots for mental health, and AI-driven dance improvisation. Administrative roles include Semester Coordinator for Art and Technology, Study Board Member for KUNST (Art, Health, and Technology), and coordinator for Erasmus Mundus Joint Masters in Media Arts Cultures. Her work emphasizes ethical, inclusive, and artistic approaches to technology.

Andreas Kornmaaler Hansenمشاهده پروفایل

استادیار

• Industry 4.0
• Digital Transformation
• Robotics (Manufacturing)
• +۴ مورد دیگر

Andreas Kornmaaler Hansen is an Assistant Professor at the Department of Architecture, Design and Media Technology within Aalborg University's Technical Faculty of IT and Design. His primary affiliation is with the AAU Design Lab. He holds a PhD in Human-Centred Production and focuses on Industry 4.0, manufacturing innovation, and human-robot interaction. His work addresses digital transformation challenges in SMEs, workforce competency development, and assistive robotics applications. Research interests include: Robotization in manufacturing work environments Human-centred design of industrial technologies SME digitalization barriers and solutions Collaborative robotics training methodologies Recent publications highlight participatory studies in socially assistive robotics for mental health, thematic analysis of manufacturing robotization, and interpretive structural models for SME production improvements. He contributes to projects like ZeroWaste (2024-2028) and Innovation Factory North (2019-2022), focusing on transforming manufacturing ecosystems. Key collaborations involve interdisciplinary teams addressing Industry 4.0 challenges through learning factories and sandbox approaches. His work emphasizes bridging technological innovation with human-centric considerations in production systems.

• Condensed Matter Physics
• Liquid Crystal Theory
• Geometric Modeling
• +۳ مورد دیگر

Fulvio Bisi is a Full Professor in the Department of Mathematics at the University of Pavia, specializing in mathematical modeling of condensed matter systems. His primary research group focuses on Mathematical Models for Condensed Matter , with significant contributions to liquid crystal theory and geometric modeling. His research spans Condensed Matter Physics and Mathematical Physics , with emphasis on nematic liquid crystals, biaxial phase transitions, and steric interactions in molecular systems. Key areas include: Biaxial-uniaxial phase transitions Steric effects in polar nematics Excluded-volume potentials for complex molecular symmetries Geometric modeling of orientational order Tricritical phenomena in ordered phases His recent publications reveal a consistent focus on mathematical frameworks for liquid crystal behavior, particularly analyzing molecular symmetry effects and phase diagram topologies. Professor Bisi teaches courses in Geometry and Algebra, Physics and Mathematics, and Euclidean Plane Geometry. His teaching materials include downloadable resources for MOOC students and corrected exam materials. Office hours are held Tuesday 4-5 PM and Wednesday 2-3 PM via Zoom or in person at office C6 (Dip Mate). Contact information: Email: fulvio.bisi@unipv.it Telephone: +39.0382.985618 Website: http://smmm.unipv.it/teaching.html

Won-Jae Yiمشاهده پروفایل

عضو هیئت علمی

• Internet of Things (IoT)
• Wireless Body Sensor Networks
• Wearable Devices for Health Monitoring
• +۷ مورد دیگر

Won-Jae Yi is an Associate Teaching Professor of Electrical and Computer Engineering at the Illinois Institute of Technology (Illinois Tech), part of the Armour College of Engineering. He holds a B.S., M.S., and Ph.D. in Computer Engineering from Illinois Tech, completed in 2010, 2012, and 2017, respectively. In addition to his teaching role, Yi serves as the Undergraduate Laboratory and Computing Facilities Supervisor in the Department of Electrical and Computer Engineering. He has over 13 years of experience in research focusing on IoT, wireless sensor networks, wearable devices for health monitoring, FPGAs, cyber-physical systems, and edge computing. Education: B.S. in Computer Engineering (cum laude, 2010), Illinois Tech M.S. in Computer Engineering (2012), Illinois Tech Ph.D. in Computer Engineering (2017), Illinois Tech Research Interests: Yi’s work spans IoT-enabled systems, AI-driven smart devices, cybersecurity for embedded systems, and assistive technologies for visually impaired individuals. His research emphasizes practical applications such as smart home automation, wearable health monitoring, and real-time data fusion for IoT systems. He consistently integrates his expertise in hardware-software co-design, including FPGAs and SoCs, to create robust, low-power solutions. Teaching Contributions: Yi teaches undergraduate and graduate courses in Software Engineering, Internet of Things, Cybersecurity, and Artificial Intelligence. His teaching excellence was recognized with the 2023 Bauer Family Excellence in Undergraduate Teaching Award. Labs and Facilities: As Laboratory Supervisor, Yi manages computing facilities and oversees the development of experimental setups for student projects in IoT, embedded systems, and AI. His lab focuses on prototyping smart systems that bridge theoretical concepts with real-world applications.