جستجوی استاد راهنمای دانشگاهی

• Animal Behaviour
• Social Behaviour
• Fish Ecology
• +۳ مورد دیگر

Professor Ashley Ward is a Professor of Animal Behaviour at the University of Sydney's School of Life and Environmental Sciences. His research focuses on social behaviour, collective animal behaviour, and the ecology of fish, particularly in group-living species. He leads the Animal Behaviour Lab and has authored influential books like Sociality: The Behaviour of Group-Living Animals (2016) and Questions and Answers on Aquarium Fishes (2007–2008). His work integrates experimental and theoretical approaches to understand how animals make decisions in groups, navigate risks, and adapt to environmental challenges. Research interests include predator-prey dynamics, immune system effects on social behavior, and the role of social context in camouflage. Notable grants include 'Understanding animals through movement' (2018) and 'Advancing fauna conservation in post-fire landscapes' (2021). His recent studies explore collective decision-making, immune-challenge responses in fish, and the impact of environmental cues on shoaling behavior. Awards and recognitions are not explicitly listed, but his contributions to fish behavior research are widely cited. He advises on grants and collaborates internationally, with over 100 peer-reviewed articles and books. His lab emphasizes field and laboratory experiments, combining behavioral observations with computational modeling to uncover principles of collective behavior and social organization.

Agnieszka Roginskaمشاهده پروفایل

استاد

• Immersive Audio
• 3D Audio Technology
• Spatial Sound
• +۵ مورد دیگر

Agnieszka Roginska is a Professor of Music Technology at the Steinhardt School, New York University, specializing in immersive audio, spatial sound, and auditory displays. Her work integrates acoustic science with virtual reality and medical applications, including postural stability studies for vestibular rehabilitation. She holds leadership roles as AES President-Elect and co-edited the authoritative book 'Immersive Sound'. Education: B.A. in Piano Performance and Computer Applications in Music (McGill University, 1996); M.M. in Music Technology (NYU, 1998); Ph.D. in Music Technology (Northwestern University, 2004). Research focuses on 3D audio technologies, auditory displays for virtual environments, and sensory integration studies. She leads NYU's Music and Audio Research Lab (MARL) and advises the Society for Women in TeCHnology (SWiTCH) at NYU. Awards include AES Fellowship and leadership in international audio engineering societies. Recent publications emphasize audio's role in postural control, distributed music performance frameworks (Holodeck), and VR sound design. Her work bridges technical innovation with artistic applications, including collaborative music systems in mixed reality.

Jim Tørresenمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Biology-Inspired Computing
• +۶ مورد دیگر

Jim Tørresen is a Professor of Computer Science at the Department of Informatics, University of Oslo, where he has been employed since 1999 (Associate Professor 1999-2005, Professor since 2006). He serves as group leader for the Robotics and Intelligent Systems (ROBIN) research group and is also a Principal Investigator at the Centre for Interdisciplinary Studies in Rhythm, Time and Motion (RITMO). His academic career includes visiting positions at Cornell University's Creative Machines Lab (2010-2011) and Kyoto University in Japan (1993-1994). His educational background includes a Dr.ing. (Ph.D.) in Computer Architecture from the Norwegian University of Science and Technology (1996) and an M.Sc. in Computer Architecture from the same institution (1991). Before his academic career, he worked in industry at Navia Aviation (1998-1999) and NERA Telecommunications (1996-1998). Tørresen's research spans artificial intelligence, robotics, and bio-inspired computing. His work focuses on biology-inspired algorithms, programmable logic (FPGA), robotics (simulation, prototyping, control), and human-robot interaction. He has made significant contributions to areas including evolutionary computing, reconfigurable hardware, and adaptive systems. His research often bridges theoretical computer science with practical applications in healthcare, music, and industrial settings. His recent publications demonstrate a strong focus on human-robot interaction, particularly in healthcare contexts for elderly care, as well as applications in sports science, musical robotics, and geological engineering. His work shows a consistent pattern of interdisciplinary research that combines machine learning techniques with domain-specific challenges. Tørresen has also authored a popular science book on artificial intelligence in the "what is" series by Universitetsforlaget, which discusses fundamental concepts, methods, future perspectives, and ethical aspects of AI. He has been active in academic leadership, serving as General Chair for the 22nd International Conference on Field Programmable Logic and Applications (FPL) in 2012 and the 9th Joint IEEE International Conference of Developmental Learning and Epigenetic Robotics in 2019. As group leader of ROBIN, he oversees research on intelligent systems that operate in dynamic environments requiring runtime adaptation. The group works at both fundamental and applied levels, using evolutionary algorithms for robot learning and machine learning techniques for classification and recognition tasks in various application domains.

Bradley Hayesمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۵ مورد دیگر

Bradley Hayes is an Associate Professor in the Department of Computer Science at the University of Colorado Boulder, affiliated with the College of Engineering and Applied Science. He leads the Collaborative AI and Robotics (CAIRO) Lab, focusing on creating autonomous robots that collaborate effectively with humans through advances in explainable AI, machine learning, and human-robot interaction. His prior research includes foundational work at MIT's Interactive Robotics Group and Yale's Social Robotics Lab. Research interests span Explainable AI, Learning from Demonstration, Hierarchical Reinforcement Learning, Computer Vision, Natural Language Processing, and Cognitive Science. His work emphasizes making human-robot teams more efficient and safe through innovations like emotionally expressive robotic motion, socially aware navigation, and AR-based collaboration tools. Key contributions include techniques for robust robotic exploration, generative occupancy mapping, and systems for improving human trust through predictable robot behavior. His work has been applied to teleoperation training, surgical assistance, and space exploration scenarios. Grants and partnerships support development of assistive robotic canes and AR interfaces for collaborative tasks. Lab activities emphasize translating theoretical advancements into practical systems through close collaboration between researchers, engineers, and end-users. Education efforts include developing foundational robotics curricula addressing autonomy, perception, and control systems.

Raymond H. Cuijpersمشاهده پروفایل

دانشیار

• Cognitive Robotics
• Human-Robot Interaction
• Socially Assistive Robotics
• +۵ مورد دیگر

Raymond H. Cuijpers is an Associate Professor at Eindhoven University of Technology in the Human Technology Interaction group. His research focuses on Cognitive Robotics , Human-Robot Interaction , and Artificial Intelligence for cognitive agents, with applications in healthcare robotics and aging population support. PhD in Physics of Man from Utrecht University (2000) Postdoctoral research at Erasmus MC Rotterdam and Radboud University Nijmegen Key research areas include: Developing socially intelligent robots with proper social cue interpretation Hybrid AI approaches for real-world complexity handling Visual-haptic perception integration in human motor control Service robots for COPD patient assistance (KSERA project) Rescue robotics and tele-operation applications Recent research output (2025) includes studies on: Personalization in human-robot communication Optimal lighting for elderly visual perception Human-robot bonding mechanisms Interactive sensorized platforms for homecare (GUARDIAN) Audiovisual temporal integration in virtual environments He coordinates large-scale European projects like GUARDIAN and previously KSERA, contributes to sustainable development goals through healthcare robotics, and serves on editorial boards of leading journals including International Journal of Social Robotics . His work spans both technical robotics development and human-centric interaction studies.

H.F. Machiel Van der Loosمشاهده پروفایل

دانشیار

• Rehabilitation Robotics
• Roboethics
• Design Methodology
• +۳ مورد دیگر

H.F. Machiel Van der Loos is an Associate Professor and Associate Head – External at the Department of Mechanical Engineering, University of British Columbia. He holds a PhD from Stanford University (1992) in human-robot interaction and a Diplôme d'Ingénieur from École Polytechnique Fédérale de Lausanne (EPFL). As Director of the CARIS Lab, his research focuses on rehabilitation robotics, roboethics, design methodology, and human-robot interaction in industrial contexts. He has authored over 50 peer-reviewed journal articles and 100 conference papers, and serves as Associate Editor for the Journal of Assistive Technology . His teaching includes core design courses such as the Capstone Design Project and cross-disciplinary 'Designing for People' courses spanning Computer Science, Applied Science, and Library Science. Van der Loos organized major conferences including IEEE ICORR 2013 and ICED17 at UBC. His work includes developing assistive technologies like power-assisted wheelchairs, AR interfaces for human-robot collaboration, and rehabilitation robots. The CARIS Lab emphasizes ethical considerations in corporeal robotics and user-centered design principles. Current research projects involve multimodal robot programming through AR, gesture-based interaction, and adaptive wheelchair control systems. His lab has collaborated with industry partners like JDQ Systems Inc. and Tableau to advance practical robotics solutions.

Kirill Zaychikمشاهده پروفایل

استاد پژوهش

• Human perceptual system
• Man-Machine system interaction
• Human-in-the-loop modeling
• +۷ مورد دیگر

Dr. Kirill Zaychik is a Research Professor in the Department of Mechanical Engineering at Binghamton University (SUNY). He holds an M.S. in Aerospace Engineering from the Moscow Institute of Physics and Technology (2001) and a Ph.D. in Mechanical Engineering from Binghamton University (2009). His career includes industry experience at Bombardier Aerospace (Montreal, Canada) focusing on Fly-by-Wire Control Systems before joining academia in 2012. Education: M.S., Aerospace Engineering, Moscow Institute of Physics and Technology (2001) Ph.D., Mechanical Engineering, Binghamton University (2009) His research interests span human perceptual systems, man-machine interaction, control systems design, and machine learning applications. Key areas include flight/vehicle simulation, human-in-the-loop modeling, and parameter estimation using numerical methods. He has contributed to projects for NASA and the U.S. Airforce, authoring 19 technical papers. Dr. Zaychik’s publications (2003–2023) focus on advancing control systems, human operator modeling, and simulation technologies. Recent work explores real-time pilot identification via biometrics and adaptive control algorithms. Earlier studies addressed turbulence simulation, vection phenomena, and simulator sickness mitigation. While no scientific awards are mentioned, his research demonstrates significant industry-academic collaboration. He has advised no listed students but contributes to curricula like ME 212 (Mechanical Engineering Programming). No affiliated labs/teams are explicitly noted, though his work aligns with aerospace and mechanical engineering systems research at Binghamton’s Watson School.

Jennifer Nelsonمشاهده پروفایل

مدرس ارشد

• Virtual Reality
• Human-Machine Interaction
• Human Movement Behavior
• +۳ مورد دیگر

Jennifer Nelson is a Senior Lecturer in the Department of Earth, Atmospheric, and Planetary Sciences at Purdue University, located in West Lafayette, Indiana. Her office is situated in HAMP 4284. She is affiliated with the College of Science and maintains active research in human-virtual interaction systems. Her research focuses on understanding how humans interact with virtual environments, particularly in crowded scenarios. Key themes include analyzing avoidance behaviors in response to virtual characters, studying the effects of rendering styles on human movement, and developing frameworks to model human-crowd interactions in immersive virtual reality settings. Recent work emphasizes the impact of virtual character dynamics (speed, density, direction) on human navigation patterns, as well as perceptual factors like gesture recognition and proximity effects. Her studies often involve creating experimental frameworks to quantify behavioral responses under varying virtual conditions. No scientific awards or grants are explicitly listed in the provided materials. While no advising information is available, her publications suggest involvement in collaborative research teams focused on virtual reality applications. She contributes to Purdue's initiatives in computational behavioral studies and immersive technology development.

Ana Paivaمشاهده پروفایل

استاد

• Social Robotics
• Affective Computing
• Virtual Agents
• +۵ مورد دیگر

Ana Paiva is a Full Professor in the Department of Computer Science and Engineering at the University of Lisbon's Instituto Superior Técnico (IST), and coordinator of the GAIPS research group at INESC-ID, now focused on AI for People and Society. She holds a Katherine Hampson Bessell Fellowship at Harvard University's Radcliffe Institute for Advanced Study. Her work centers on creating socially intelligent AI and robots through agent-based approaches, emphasizing emotional and cultural competencies. Key research areas include Social Robotics, Affective Computing, and Pro-social Computing. She leads projects like the EU-funded ANIMATAS ITN network and Portugal's AMIGOS/AGENTS initiatives. Notable contributions include the FAtiMA Toolkit for developing emotional AI agents and pioneering work in hybrid human-machine societies. She has received awards such as the EurAI Fellowship (2019) and the Blue Sky Ideas Award at AAAI’18. Her research explores how machines can foster prosocial behaviors like altruism and cooperation, with applications in education, therapy, and ethical AI design. Her advising includes PhD students like Fernando Santos (Victor Lesser Award winner) and Elmira Yadollahi (ACM award recipient). Current projects focus on inclusive robotics for mixed-ability classrooms and ethical frameworks for human-robot collaboration.

Takao Sasakiمشاهده پروفایل

دانشیار

• Collective animal behavior
• Collective learning
• Animal cognition
• +۳ مورد دیگر

Takao Sasaki is an Associate Professor in the Department of Brain and Cognitive Sciences at the University of Rochester. His research focuses on collective cognition in animal groups, particularly using homing pigeons and acorn ants as model organisms. He explores how groups achieve higher cognitive abilities than individuals through information pooling and decision-making processes. His work combines field observations with mathematical modeling and computational simulations to uncover principles of collective intelligence. Research interests include collective animal behavior, collective learning mechanisms, and decision-making strategies in social insects. He investigates how environmental cues, colony size, and quorum thresholds influence group decisions during tasks like nest relocation and foraging. His methodologies involve cutting-edge tools such as GPS tracking, high-resolution video analysis, and hidden Markov models. Recent articles highlight studies on fire ant pontoon bridge dynamics, reversal learning in ant colonies, and the impact of tagging on recruitment behavior. These studies emphasize local information processing and self-organization principles in swarm systems. Sasaki’s contributions bridge behavioral ecology, cognitive science, and systems biology. No scientific awards are explicitly listed in the provided materials. His research also examines the role of individual diversity (e.g., ‘naïve’ individuals) in enhancing group exploration efficiency in homing pigeons. He explores historical influences on decision-making and the anchoring effect’s role in nest site selection.

Joseph J. LaViola Jr.مشاهده پروفایل

استاد

• Computer Science
• Virtual Reality (VR)
• Augmented Reality (AR)
• +۶ مورد دیگر

Joseph J. LaViola Jr. is the Charles N. Millican Professor of Computer Science at the University of Central Florida's Department of Computer Science. He is also affiliated with the Institute for Simulation and Training. His research focuses on 3D user interfaces (3DUI), virtual reality (VR), augmented reality (AR), pen-based computing, human motion estimation, and human-robot interaction. He serves as the director of the Interactive Computing Experiences Research Cluster and has authored influential textbooks like 3D User Interfaces: Theory and Practice . LaViola leads research initiatives in immersive technologies, emphasizing practical applications in gaming, education, and collaborative environments. His work spans gesture interaction design, spatial navigation, and AR/VR system development. He actively mentors students at undergraduate, master's, and Ph.D. levels, encouraging creativity and dedication in research projects. His recent publications explore topics such as redirected walking in VR, dual-camera interactions for smartphone AR, and perceptual studies in immersive environments. He emphasizes bridging academic research with real-world applications, particularly in healthcare, civil engineering, and human-centered systems. LaViola's contributions include advancing gesture recognition techniques, optimizing VR/AR interfaces for accessibility, and fostering interdisciplinary collaboration through his lab and authored tools like AffordIt! and MathPad 2 .

Miiamaaria Kujalaمشاهده پروفایل

پژوهشگر ارشد

• social cognition
• emotionality
• comparative cognitive neuroscience
• +۱۰ مورد دیگر

Miiamaaria Kujala is an Academy Research Fellow at the Department of Psychology, University of Jyväskylä. Her research focuses on social cognition and emotionality in humans and non-human animals, particularly domestic dogs, through interdisciplinary collaboration across psychology, cognitive science, biology, veterinary medicine, and biomedical engineering. Academy Research Fellow (2024) Docent in Comparative Cognitive Neuroscience Her work employs non-invasive physiological methods such as eye gaze tracking, EEG/ERPs, thermal imaging, and fMRI to study emotional expressions, cross-species interaction, and the neural basis of social perception. Key themes include the development of expertise in decoding nonverbal cues, human-animal bond dynamics, and One Health/One Welfare frameworks. Recent publications highlight interdisciplinary approaches to canine emotionality, pharmacological behavior management in pets, and advanced sensor technologies for behavior classification. Her 2024 articles explore olfaction, empathy, and activity tracking in dogs, while older works examine contagious behaviors, social brain circuits, and developmental psychology in human-animal interactions. Scientific awards include the Academy Research Fellow fellowship. She leads the "Interaction of Dogs and Humans" research group, integrating expertise from psychology, veterinary medicine, and engineering to advance understanding of emotional and cognitive processes across species.

Judith Josupeitمشاهده پروفایل

مدرس

• Interindividual Differences in Experiencing Telepresence
• Eye Tracking in Virtual Reality
• Learning and Teaching with Digital Media
• +۱ مورد دیگر

Judith Josupeit (Dr. rer. nat.) is a Lecturer at the Faculty of Psychology, Technische Universität Dresden, Germany. She specializes in human factors research within virtual reality environments, focusing on interindividual differences in cybersickness susceptibility and physiological indicators of VR-induced discomfort.

Bastien Berretمشاهده پروفایل

استاد

• Neuroscience
• Biomechanics
• Robotics
• +۵ مورد دیگر

Bastien Berret is a Full Professor at the University of Paris-Saclay, where he leads the MHAPS research team within the Faculty of Sports Sciences. His academic career has progressed from Assistant Professor at Univ. Paris-Sud (2012-present) to Associate Professor with Habilitation à Diriger des Recherches (HDR) in 2017, and finally to Full Professor in September 2020. His research focuses on understanding how the central nervous system controls voluntary movements through a multidisciplinary approach combining neuroscience, biomechanics, and robotics. From a fundamental perspective, he identifies computational principles to explain human behavior in various motor tasks, with practical applications in human-exoskeleton interactions. His work employs computational tools including stochastic optimal control, numerical optimization, and machine learning methods, alongside experimental tools such as motion capture devices, force platforms, and electromyography systems. Berret's publication record shows consistent output since 2008, with particular productivity in recent years (2020-2023). His research trends indicate a strong focus on motor control theory, gravity effects on movement, human-exoskeleton interaction, and computational modeling of neural processes. Recent publications demonstrate increasing interdisciplinary collaboration across neuroscience, robotics, and biomechanics. Notable scientific achievements: Junior member of the prestigious Institut Universitaire de France (IUF) from 2017-2022 Coordinator of the ANR project "EXOMAN" (2020-2024) Extensive publication record in high-impact journals including Science Advances, PLoS Computational Biology, and Journal of Neurophysiology Berret maintains active research collaborations with institutions including INSERM, Istituto Italiano di Tecnologia, and various neuroscience laboratories. His work on stochastic optimal control and muscle activity decomposition has contributed significantly to computational neuroscience methodology. As team leader of MHAPS, he directs research on motor control principles and their applications in rehabilitation and robotics.

• Biomechanics
• Wearable Sensor Technology
• Gait Analysis
• +۳ مورد دیگر

Prof. Giuseppe Vannozzi is a Full Professor at the University of Rome Foro Italico, based in the Department of Human Motor Sciences and Health. His research focuses on biomechanics, wearable sensor technology, and gait analysis in neurological and运动 disorders. He has contributed to studies on stroke recovery, Parkinson’s disease, multiple sclerosis, and pediatric conditions like cerebral palsy. His work integrates machine learning with clinical assessment, emphasizing wearable sensors for real-world applications. Research interests include motor control, neurorehabilitation strategies, and the application of inertial measurement units (IMUs) in movement analysis. Key areas include gait variability, postural stability, and upper limb recovery. Recent studies explore the use of auditory cues in Parkinson’s gait improvement and sensor-based interventions for stroke survivors. His publications span over a decade, with recent focus on advanced metrics for gait quality, instrumented clinical tests (e.g., iTUG), and the role of biomechanical parameters in aging populations. He has pioneered sensor fusion algorithms for yoga and sports performance evaluation, and his work on Golden Ratio-based auditory cues highlights interdisciplinary创新. He contributes to academic governance as a member of the University Quality Assurance Committee and has collaborated on EU-funded projects. Teaching responsibilities include courses on research methodology, movement therapy, and motor function assessment in health sciences.