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Miao WangView profile

Associate Professor

• Computer Graphics
• Virtual Reality
• Augmented Reality
• +12 more

Miao Wang is an Associate Professor at the State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University. He earned his PhD in Computer Science and Technology from Tsinghua University in 2016 under the supervision of Prof. Shi-Min Hu, following a bachelor's degree from Xidian University in 2011. He conducted postdoctoral research at Tsinghua University from 2016 to 2018 before joining Beihang University in 2018. PhD in Computer Science and Technology, Tsinghua University (2011–2016) Bachelor of Computer Science and Technology, Xidian University (2007–2011) His primary research interests include computer graphics, virtual and augmented reality, visual media computing, and computer vision. He focuses on 3D AIGC for extended reality (XR), digital avatars, redirected locomotion, and immersive collaborative interaction in VR/AR environments. His work bridges algorithmic innovation with practical immersive applications. The recent publications highlight a strong trend in neural rendering, avatar synthesis, and intelligent interaction in virtual environments. Key themes include 3D Gaussian representations, neural fields for real-time avatar generation, semantic-aware locomotion adaptation, and redirected walking techniques. These works are published in top venues such as CVPR, IEEE TVCG, ACM TOG, and IEEE VR, reflecting cutting-edge contributions in graphics and immersive systems. IEEE VR 2025 Best Paper Award CAD/Graphics 2023 Best Paper Award CVMJ 2019 Honorable Mention Award National Science and Technology Progress Award (2nd Prize, rank 9) Higher Education Teaching Achievement Incentive Program (Special Class, rank 2) Xiaomi Young Scholar Beihang University Young Talent Miao Wang actively supervises PhD and master’s students, hosts undergraduate interns, and leads a vibrant research team. He has secured funding from the National Natural Science Foundation of China and participates in key national and regional projects. His team maintains strong international collaborations with researchers from Tsinghua University, Cardiff University, Universität Hamburg, and others. He also contributes to the academic community through service on program committees of IEEE VR, ISMAR, Pacific Graphics, and CVM, and holds leadership roles in the China Computer Society and China Graphics Society. He leads research in the State Key Laboratory of Virtual Reality Technology and Systems at Beihang University, where his team develops tools and frameworks for immersive media, including OpenRDW, a library for redirected walking. The group fosters innovation through interdisciplinary collaboration and international engagement.

Hoam ChungView profile

Lecturer

• Autonomous Systems
• Model Predictive Control (MPC)
• Robotics
• +7 more

Dr. Hoam Chung is a Lecturer in the Department of Mechanical and Aerospace Engineering at Monash University, specializing in autonomous systems, model predictive control (MPC), and robotics. His research focuses on UAV navigation, human-swarm interaction, medical diagnostics through motion analysis, and optimization algorithms. He leads the Monash Unmanned Aerial Systems (MUAS) and Monash Connected Autonomous Vehicles (MCAV) teams, advancing projects like aerial perching for inspection and shared autonomy in multi-robot systems. Research interests: MPC theory, autonomous vehicles, medical motion diagnostics, semi-infinite optimization Key collaborations: BErkeley AeRobot (BEAR) project (2000–2009), projects with Soft Robotics and Multi-Robot Systems His work contributes to UN SDGs through advancements in sustainable transportation (SDG 9, 11) and health innovations (SDG 3). Recent studies include Parkinson’s disease detection via gait analysis and UAV-based agricultural monitoring.

Zonghe ChuaView profile

Assistant Professor

• Robotics
• Haptic Interfaces
• Teleoperator Systems
• +3 more

Zonghe Chua is an Assistant Professor in the Department of Electrical, Computer, and Systems Engineering at Case School of Engineering, Case Western Reserve University. His research focuses on developing intelligent telerobotic systems that enhance human-robot interaction through advanced haptic feedback and machine learning. He holds a PhD in Mechanical Engineering from Stanford University (2022), an MS from Stanford (2020), and a BS from the University of Illinois at Urbana-Champaign (2015). Education: PhD in Mechanical Engineering, Stanford University, 2022 MS in Mechanical Engineering, Stanford University, 2020 BS in Mechanical Engineering, University of Illinois at Urbana-Champaign, 2015 Research Interests: Development of haptic interfaces and sensors for teleoperator systems Medical robotics integration and control Machine learning applications for robot perception and feedback systems Awards and Memberships: Thinkbox Faculty Fellow (2023) Member of IEEE/RAS Technical Committees on Telerobotics and Haptics Advising and grants information is not specified in the provided text. No lab or team affiliations are explicitly mentioned.

• Robotics
• Haptics Technology
• Control Systems
• +3 more

Gregory S. Lee is an Assistant Professor in the Department of Electrical, Computer, and Systems Engineering at Case School of Engineering (Case Western Reserve University). His teaching interests include Robotics, Haptics, Control Systems, and Embedded Systems. Research focuses on Mobile Robotics, Manipulation Robotics, and Haptics Technology. He holds a PhD in an unspecified field. Key contributions include work on speech therapy applications using biofeedback and sensor technology, as evidenced by publications in The Journal of the Acoustical Society of America. He received the 2015 Case School of Engineering Undergraduate Teaching Award for instructional excellence. His research bridges robotics and biomedical engineering, emphasizing practical applications in speech rehabilitation and sensory-motor systems.

Jing XiaoView profile

Professor

• Robotics
• Haptics
• Multi-Modal Perception
• +3 more

Jing Xiao is a Professor and Department Head of Robotics Engineering at Worcester Polytechnic Institute (WPI). She also serves as the Site Director of NSF I/UCRC ROSE-HUB and leads the AIR Lab . Her research spans robotics, haptics, multi-modal perception, and AI, focusing on contact interaction and real-time adaptiveness in dynamic environments. Education : PhD in Computer, Information, and Control Engineering (1990), MS (1985), and BS in Physics and Electrical Engineering (1983) from Beijing Normal University. Her work integrates robotics with artificial intelligence to address challenges in compliant motion planning, continuum manipulation, and real-time adaptive motion planning (RAMP). Recent publications highlight advancements in autonomous robotic assembly, human-robot collaboration, and 3D coverage path planning. Scientific recognition includes IEEE Fellow and the William B. Smith Distinguished Fellowship . She contributed to the award-winning Handbook of Robotics , which received two PROSE Awards from the American Association of Publishers. Her research involves interdisciplinary collaboration, including a $3M NSF grant for human-robot interaction studies. She mentors students like PhD candidate Alexandra Valiton and collaborates across departments, including Computer Science and Electrical & Computer Engineering .

Evelyn MuschterView profile

Researcher

• Neuroscience
• Human Perception
• Multisensory Integration
• +5 more

Dr. Evelyn Muschter is a postdoctoral researcher at the Chair of Lifespan Developmental Neuroscience at Technische Universität Dresden, part of the Centre for Tactile Internet with Human-in-the-loop (CeTI) . Her work focuses on integrating human perception science with technological advancements in the Tactile Internet, particularly addressing tactile and multisensory systems, attention mechanisms, and lifespan developmental aspects of perception. She employs experimental techniques like psychophysics and neurophysiological measurements to bridge neuroscience and technology. Dr. Muschter holds a PhD in Brain and Cognitive Science from the University of Trento, Italy, and a Master’s in Cognitive Science from the same institution, alongside a Bachelor’s in Psychology from Cleveland State University, USA. Her current research emphasizes human-in-the-loop technology development, including haptic codecs, human-guided machine learning, and evaluation of TaHiL devices. Key projects involve creating large-scale kinematic datasets (e.g., CeTI-Age) to study aging-related changes in human motion and perception. She collaborates across disciplines to address challenges in tactile signal compression, wearable device design, and inclusive technology standards (e.g., IEEE 1918.1.1-2024). Her work underscores the importance of human-centered design for diverse populations. Dr. Muschter values CeTI’s interdisciplinary environment, which enables methodological innovation and cross-field collaboration. Future research priorities include exploring how societal adoption of the Tactile Internet evolves over time and across generations.

Mandayam A. SrinivasanView profile

Research Professor

• Haptics
• Human-Machine Interaction
• Virtual Reality
• +3 more

Mandayam A. Srinivasan is a Hans Fischer Senior Fellow at the Technical University of Munich (TUM) and holds a position as Senior Research Scientist in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). He directs MIT's Laboratory for Human and Machine Haptics (Touch Lab), part of the Research Laboratory of Electronics. His research focuses on haptics, integrating biomechanics, neurophysiology, and engineering to advance tactile interactions in virtual environments and medical applications. Education: B.E., Bangalore University, 1975 M.E. in Aeronautical Engineering, Indian Institute of Science, 1977 M.S. and Ph.D. in Mechanical Engineering, Yale University, 1979 and 1984 Research Interests: Srinivasan’s work explores the computational and cognitive foundations of touch, with applications in virtual reality, surgical training, and robotics. He pioneers haptic technologies for medical simulations, wearable devices, and autonomous systems, emphasizing the biomechanical and neurophysiological underpinnings of tactile perception. Publications: His articles span haptic rendering algorithms, surgical simulation methodologies, and actuator design, reflecting a focus on interdisciplinary solutions for tactile interaction challenges. Scientific Awards: 2005 Fellowship Award, Engineering and Physical Sciences Research Council (EPSRC), UK 2001 Class 1 NASA Tech Brief Award 1997 and 1998 Computers & Graphics Best Paper Awards Advising & Grants: While no explicit student advisees are listed, Srinivasan collaborates extensively with co-authors on projects such as surgical simulation and haptic robotics. His work is supported by institutional and industry partnerships. Labs & Affiliations: As director of MIT’s Touch Lab, he leads a global hub for haptic innovation, contributing to the MIT Virtual Environment & Teleoperator Research Consortium and fostering cross-disciplinary research.

Shamin SadrafshariView profile

Researcher

• Biomedical Engineering
• Mechanical Engineering
• Neural Engineering
• +3 more

Shamin Sadrafshari is a Researcher at the University of Bath, affiliated with the Department of Mechanical Engineering. He is part of the Foundry: Centre for Digital, Manufacturing & Design and the Centre for Bioengineering & Biomedical Technologies (CBio), as well as the Bath Institute for the Augmented Human. His research focuses on biomedical engineering, neural interfaces, and energy harvesting technologies. Current projects include improving tactile display systems through the IAA-funded 'Improving User Experience on Sensory Substitution Tactile Display Pad' (2023-2023). Research interests span urinary bladder physiology, neural signal processing, piezoelectric energy harvesting, and MEMS-based actuators. His work bridges mechanical engineering with bioelectronics, focusing on applications like spinal cord injury rehabilitation and industrial tool monitoring. Notable contributions include advancements in tool condition monitoring using machine learning, velocity-selective neural processing systems, and vibration-based energy harvesting designs. Collaborations span veterinary medicine, microelectronics, and human-computer interaction. Ongoing work aims to develop neural interfaces for bladder control systems and optimize manufacturing processes through real-time tool wear analysis. His research portfolio includes 15 peer-reviewed publications since 2011, with recent focus on biomedical device design and smart manufacturing solutions. Current affiliations emphasize interdisciplinary innovation in augmented human technologies and bioengineering.

Vicent Girbés JuanView profile

Associate Professor

• Robotics
• Human-Robot Interaction
• Intelligent Vehicles
• +12 more

Vicent Girbés Juan is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, Universitat de València. His research is centered in the HRI Human-Robot Interaction Group, where he contributes to advanced robotics, intelligent vehicles, and human-centered automation systems. He earned his PhD from Universitat Politècnica de València in 2016 with a thesis on clothoid-based planning and control in autonomous and manual-assisted driving systems, supervised by Dr. Josep Tornero Montserrat and Dr. Leopoldo Armesto Ángel. His research interests span robotics, control systems, path planning for UAVs, visible light communication, haptic feedback in teleoperation, and educational innovation in engineering. He has published extensively on smooth trajectory generation, dual-arm robot control, sensor fusion, and V2V communications. His recent work shows a growing emphasis on integrating pedagogical innovation with engineering education, including flipped evaluation, peer assessment, and hackathon-based programming learning. His publications from 2021 to 2024 reveal a dual focus: advancing industrial robotics and intelligent transportation systems, while simultaneously innovating in teaching methodologies and student engagement in higher education. Key technical areas include clothoid-based 3D path planning, cautious Bayesian optimization, VLC positioning, and haptic-assisted teleoperation. He actively collaborates on interdisciplinary projects involving human-robot cooperation, industrial automation, and educational technology, reflecting a commitment to both technological advancement and pedagogical excellence. His email is vicent.girbes@uv.es .

Robert VolcicView profile

Associate Professor

• Neuroscience
• Cognitive Systems
• Multisensory Perception
• +11 more

Robert Volcic is an Associate Professor of Psychology at New York University Abu Dhabi (NYUAD) and a Global Network Associate Professor in the Faculty of Arts and Science at NYU. He leads the Volcic Lab , which investigates multisensory perception and the integration of perception and action, particularly focusing on vision and haptics in spatial perception and grasping. Affiliation: NYU Abu Dhabi, Science Division Position: Associate Professor of Psychology Lab: Volcic Lab Volcic earned his PhD from Utrecht University and a Laurea (MSc) from the University of Trieste. Prior to joining NYUAD in 2015, he was a postdoctoral researcher at the University of Münster (Germany) and the Istituto Italiano di Tecnologia (Italy). He teaches key courses including Statistics for Psychology , Perception , Lab in Multisensory Perception and Action , and Capstone Project in Psychology . His research lies at the intersection of neuroscience, cognitive systems, and sensorimotor control . Using psychophysics, movement tracking, virtual reality, and computational modeling, he explores how humans integrate visual and haptic information to guide actions like reaching and grasping. A recurring theme in his work is the application of Weber’s Law to motor behavior and the role of sensory uncertainty in multisensory integration. His recent publications, spanning journals like Journal of Experimental Psychology: General , Cognition , and Scientific Reports , reveal a strong focus on visuo-haptic integration, grasping under uncertainty, sensory recalibration, and depth perception . He has also developed the open-source MOTOM toolbox for motion tracking in Matlab, widely used in experimental neuroscience. Tool-sensed object information in grasping Perception of depth from blurred contours Neural signatures of motor imagery in VR Grasping compliance with Weber’s law Calibration of reach-to-grasp actions Volcic actively mentors students and postdoctoral researchers and presents his work at leading conferences such as Vision Sciences Society (VSS) and European Conference on Visual Perception (ECVP). His lab fosters interdisciplinary research, combining psychology, engineering, and computational methods to understand human perception and action. He has advised numerous undergraduate capstone students and research assistants, contributing significantly to student training in experimental psychology and neuroscience. His work continues to advance our understanding of how the brain integrates multiple sensory streams to guide precise motor behavior.

• Automotive Engineering
• Human Factors and Ergonomics

Vivek Bhise is a Lecturer in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn's College of Engineering and Computer Science. His work bridges automotive engineering, human factors, and systems design methodologies. Ph.D. in Industrial and Systems Engineering (Ohio State University) M.S. in Industrial Engineering (University of California, Berkeley) B. of Technology in Mechanical Engineering (Indian Institute of Technology) Dr. Bhise specializes in automotive engineering and human factors/ergonomics , focusing on driver interface design, visibility analysis, and product quality assessment. His research integrates systems engineering principles with user-centered design approaches. His publications (2004-2013) demonstrate sustained contributions to automotive safety , human-computer interaction , and industrial systems . Key topics include windshield glare analysis, storage system integration, and simulation-based interface evaluation.

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

Shujie Deng is a Researcher affiliated with Bournemouth University under the Faculty of Media and Communication . Her work focuses on Human-Computer Interaction and Virtual Reality , particularly exploring multimodal interaction , eye tracking , and gesture control in immersive environments. Research Trends Developing semantic frameworks for interactive animation and digital storytelling Investigating gaze-informed mid-air gestures for 3D object manipulation Advancing haptic feedback in serious games and virtual environments Her publications highlight collaborations with colleagues like Hui Liang, Jian Chang, and Jian Jun Zhang, emphasizing multimodal interaction and virtual puppetry .

Farhad FarzbodView profile

Associate Professor

• Acoustic Metamaterials
• Biologically Inspired Materials
• Mechatronics
• +4 more

Farhad Farzbod is an Associate Professor in the Department of Mechanical Engineering at the University of Mississippi's School of Engineering Education, where he has been a faculty member since 2015. He directs the Mechatronics & Vibration Lab (i-mechanics.com) and specializes in wave propagation, actuator design, and smart materials. His research integrates vibrations, mechatronics, and ultrasonic characterization techniques for applications in metamaterials and bio-inspired systems. Education: B.Sc. Mechanical Engineering, University of Tehran (2000) M.A.Sc. Mechanical Engineering, University of Toronto (2003) M.S. Mathematics, Georgia Institute of Technology (2009) M.S. Electrical Engineering, Georgia Institute of Technology (2010) Ph.D. Mechanical Engineering, Georgia Institute of Technology (2010) Dr. Farzbod's research explores acoustic metamaterials through periodic structures for sound manipulation; biologically inspired materials focusing on thermal fatigue resistance; novel electromechanical actuators using soft materials; and resonant ultrasound spectroscopy for material characterization. His work bridges theoretical modeling with experimental validation for aerospace, biomedical, and energy applications. His publications focus on wave dynamics, material characterization, and mechatronic systems, with recurring themes in resonant ultrasound spectroscopy, periodic structures, and actuator innovation. Recent work emphasizes adjustable wave filters, bio-material fatigue analysis, and anisotropic material properties. Teaching: Courses include Dynamics (ME 325), Linear Systems and Control (ME 543), Mechatronics (ME 537), and Vibration Analysis (Engr 558). Detailed syllabi are available via i-mechatronics.com and his YouTube channel. Patents: US #9547175: Adaptive piezoelectric array for bone conduction US #9596536: Microphone arrangement for voice isolation

• Reinforcement Learning
• Artificial Intelligence
• Computer Vision
• +6 more

C. H. T. Child is an Associate Professor in the Department of Computer Science at City, University of London, with a distinguished research career spanning over two decades. The academic maintains an active research profile with publications extending through 2025, demonstrating continued scholarly contributions across multiple domains of computer science and artificial intelligence. Child's primary research interests center around Reinforcement Learning , Artificial Intelligence , and Computer Vision , with specialized expertise in non-Euclidean geometry applications for gaming environments, medical informatics, and human-computer interaction. The research portfolio reveals a consistent trajectory from foundational work in reinforcement learning algorithms to applied research in game AI, medical informatics, and scene representation learning. A notable research thread involves the application of non-Euclidean geometry to create novel gaming experiences, while another significant strand focuses on developing advanced AI systems for non-player characters with personality modeling capabilities. Analysis of the most recent publications (2019-2025) shows an evolution toward more sophisticated deep learning architectures applied to complex problems in medical informatics and scene representation. The work has increasingly incorporated transformer networks, attention mechanisms, and advanced feature extraction techniques, reflecting broader trends in the field while maintaining the researcher's distinctive focus on reinforcement learning fundamentals. The publication record demonstrates successful translation of theoretical AI concepts into practical applications across gaming, healthcare, and computer vision domains. Child has supervised multiple doctoral students and research collaborators, with several co-authors appearing consistently across publications as first authors on significant works. The research has been supported through university resources and likely external funding, though specific grant details are not provided in the available materials. The academic maintains an active presence in both theoretical and applied research communities, with publications spanning top conferences and journals in computer science and AI. The researcher leads work in the Extreme AI Personality Engine project and contributes to computer vision research with applications in hand pose estimation and medical imaging. These research streams are well-integrated, with reinforcement learning principles providing a unifying theoretical framework across diverse application domains.

Benjamin De BariView profile

Assistant Professor

• Thermodynamics
• Complexity Science
• Cognitive Science
• +3 more

Benjamin De Bari is an Assistant Professor at DeSales University , affiliated with the College of Sciences . His research bridges thermodynamics, complexity science, and cognitive psychology to explore the physical foundations of biological intelligence. BS in Cognitive Science, University of Connecticut (2016) PhD in Experimental Psychology, University of Connecticut (2021) Dr. De Bari investigates generic psychological processes shared across living systems, such as intentionality, perception-action coupling, and self-maintenance. He employs the concept of dissipative structures (self-organized non-equilibrium systems) to model these phenomena. His recent work focuses on thermodynamic principles in postural control , cortical dynamics during virtual tasks, and the application of dissipative systems to interpersonal coordination. Publications highlight interdisciplinary approaches to ecological psychology and cognitive science.