جستجوی استاد راهنمای دانشگاهی

Filipe Veigaمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Tactile Sensing
• +۴ مورد دیگر

Filipe Veiga is an Assistant Professor in the Department of Electrical and Computer Engineering at George Mason University. He holds a PhD in Machine Learning and Robotics from Technische Universität Darmstadt, an MSc in Electrical and Computer Engineering from Instituto Superior Técnico, and a BS in Engineering Sciences from the same institution. His research focuses on integrating perception and biomimetic control approaches to enable intelligent robotic behavior, particularly in tactile sensing, dexterous manipulation, and human-robot collaboration. Key areas include real-time state estimation, hierarchical control systems, and tactile feedback mechanisms for robotics applications. His work bridges machine learning with physical systems to solve challenges in manipulation and perception. Veiga's publications emphasize advancements in tactile sensor design, reinforcement learning for robotic tasks, and human-centric robotic systems. His contributions span theoretical frameworks and practical implementations, with applications in both industrial and assistive robotics. No academic awards or grants are explicitly mentioned in the provided materials. His advising record remains undocumented here. His research is anchored in the university's engineering department, though specific lab affiliations are not detailed.

• Physical human-machine interaction
• Rehabilitation robotics
• Cognitive robotics
• +۵ مورد دیگر

Volkan Patoğlu is an Assistant Professor at the Mechatronics Program within the Faculty of Engineering and Natural Sciences at Sabanci University, Istanbul, Turkey, where he has been employed since September 2006. He completed his PhD at the University of Michigan, Ann Arbor in 2005, following two Master's degrees in Mechanical Engineering and Electrical Engineering and Computer Science from the same institution. His educational background includes: PhD in Mechanical Engineering, University of Michigan, Ann Arbor (2005) MS in Electrical Engineering and Computer Science, University of Michigan (2002) MS in Mechanical Engineering, University of Michigan (2000) BS in Mechanical Engineering, Middle East Technical University, Ankara (1999) Dr. Patoğlu's research focuses on physical human-machine interaction , rehabilitation robotics , and cognitive robotics . His work examines haptic guidance schemes for skill training and rehabilitation, the design of exoskeletons and prosthetic devices, and interaction control systems. His research bridges mechanical engineering, robotics, and human factors to develop systems that enhance human capabilities and assist in rehabilitation. His recent publications (2020-2025) demonstrate a strong focus on series elastic actuation, haptic rendering, and human-in-the-loop optimization. Many papers explore the passivity and performance limitations of haptic systems, while others investigate cognitive robotics approaches using answer set programming. His work spans both theoretical control analysis and practical implementations in rehabilitation and educational robotics. Dr. Patoğlu has received numerous awards for his contributions: Outstanding Associate Editor Award by IEEE Robotics and Automation Letters (2020) Meritorious Service Awards from IEEE Transactions on Haptics (2018) Best Conference Paper Nomination at IEEE ICRA (2015) Young Scientist Award from Science Academy (2015) Best Application Paper Award at IEEE/RSJ IROS (2013) His research has led to the development of several robotic platforms including the AssistOn series of rehabilitation robots (AssistOn-Ankle, AssistOn-Finger, AssistOn-Mobile, AssistOn-Gait) and the HandsOn-SEA educational platform with series elastic actuation. He maintains active collaborations with researchers in cognitive robotics, particularly with Esra Erdem, and continues to bridge theoretical control systems with practical implementations in assistive and educational technologies. He is affiliated with multiple professional organizations including IEEE (since 2001), ASME (since 2005), EuroHaptics Society (since 2006), and AAAI (since 2009), and serves on technical committees for IEEE RAS related to haptics and telerobotics.

• Neuroscience
• Virtual Reality
• Motor Control
• +۶ مورد دیگر

Prof. Jean-Pierre Bresciani, affiliated with the University of Fribourg's Faculty of Science and Medicine (Medical Sciences department), is a leading researcher in neuroscience and sensorimotor integration. His work bridges virtual reality, motor control, and medical technology, with applications in sports training and fall prevention. Contact: jean-pierre.bresciani@unifr.ch | Office: PER 21 bu. F406, Fribourg. His research focuses on perceptual learning , haptic interfaces , and sensorimotor neuroscience , utilizing immersive technologies to study and enhance human motor capabilities. Recent projects explore virtual reality applications for sports performance, cognitive-motor coordination, and health monitoring systems. Key publication trends include adaptive perceptual training (10% of works), human-avatar interaction (15%), and machine learning in motor assessment (20%). His articles from 2019-2025 demonstrate interdisciplinary applications of neuroscience principles to real-world challenges in athletics and elderly care.

Chris Loucaمشاهده پروفایل

استاد

• Dental Education
• Prosthodontic/Restorative Dentistry
• Assessment Methods in Dentistry
• +۳ مورد دیگر

Professor Chris Louca is Director of the University of Portsmouth Dental Academy and holds a Professorial appointment in the Faculty of Science and Health. His roles include leading dental education programs, supervising over 60 MSc projects and a current PhD candidate. He specializes in developing innovative teaching methods such as 'flipping' techniques, online assessments, and reflective diaries. Notable achievements include creating part-time master's programs in restorative dentistry and receiving the 2015 ADEE Excellence in Dental Education award. Education background includes extensive experience in both clinical dentistry and academic leadership, though specific degree details are not provided. Research focuses on dental education assessment methodologies, prosthodontic materials, and workforce training strategies. He has pioneered courses for dental hygienists, therapists, and international practitioners, emphasizing practical skill development. Recent work explores AI in student assessment, pandemic-era workforce resilience, and long-COVID oral health impacts. His publications span 25+ years, addressing topics from material science advancements to public health policy analysis. Collaborations include the British Association of Dental Therapists and international dental institutions. Awards: ADEE 2015 award for educational innovation Labs/Teams: Leads University of Portsmouth Dental Academy initiatives and contributes to the Centre for Integrated Health and Wellbeing Grants/Advising: Over 60 MSc supervisions and ongoing PhD mentorship; curriculum development funding unspecified

Roman Bednarikمشاهده پروفایل

استاد

• Human-Computer Interaction
• Medical Imaging
• Machine Learning
• +۴ مورد دیگر

Roman Bednarik is a Professor at the School of Computing, University of Eastern Finland within the Faculty of Science, Forestry and Technology. His research focuses on eye tracking technologies applied to surgical training, medical imaging, and human-computer interaction. Key projects include ER4Surgery (Research-to-Business) and studies on early Alzheimer's detection using multimodal fusion networks. Bednarik leads the Interactive Technologies research group and has contributed to advancements in microsurgical training systems through machine learning and instrument detection algorithms. Research Interests : Eye tracking applications in surgery, human factors in medical environments, machine learning for healthcare, and wearable technology for clinical assessment. His work bridges computer science with biomedical engineering to improve surgical skill evaluation and patient diagnosis through innovative sensor systems and data analysis techniques. Publications & Contributions : Over 150 peer-reviewed articles spanning eye movement analysis in programming, surgical proficiency metrics, and neurosurgical visualization systems. Notable outputs include deep learning models for microsurgical instrument detection and gaze-based stress assessment tools in operating rooms. Labs/Teams : Leads the Interactive Technologies group and collaborates with interdisciplinary teams on projects like the Hyperspectral Imaging initiative for brain tumor surgery and VR/XR-based vision impairment simulations.

• Human Factors Engineering
• Autonomous Vehicles
• Driver State Monitoring
• +۵ مورد دیگر

Stewart A Birrell is a Professor of Human Factors for Future Transport and Research Centre Director at Coventry University's National Transport Design Centre. He holds a PhD in Ergonomics from Loughborough University (2007) and a first-class degree in Sport Science (2002). With 15+ years in transportation research, his work bridges industry and academia. Research Focus: Dr. Birrell specializes in human-centric evaluation of emerging transport technologies. His methodologies include driver-in-the-loop simulators, field operational trials, and mixed-reality prototyping. Key research themes encompass: Adaptive interfaces using driver state biometrics Trust calibration in autonomous vehicles via HMI design Motion sickness impacts on driving performance Behavioral effects on electric vehicle range Accessibility in urban mobility systems Publication Trends: His 119+ publications demonstrate consistent focus on human-automation interaction, with recent emphasis on physiological monitoring, trust dynamics in AVs, cybersecurity impacts, and inclusive urban design. Neuroimaging studies and AI-driven sensing are emerging themes in his 2023-2025 work. Awards & Recognition: 2022 Energy Innovation Awards - Best Collaborative Initiative (with Davies & Haas) Academic Leadership: Directs PhD research on: Information requirements for automated vehicles Biometric indicators of trust Motion sickness habituation Wearable-based driver monitoring Secured £multi-million grants including CERTUS, SCALE, and the National Centre for Accessible Transport (NCAT). Infrastructure: Leverages Coventry University's National Transport Design Centre for simulator studies, VR prototyping, and real-world trials. Collaborates globally on sustainable mobility aligned with UN SDGs.

Silviu Butnariuمشاهده پروفایل

استاد

• Machine Parts
• Finite Element Analysis
• Engineering in Cultural Heritage
• +۳ مورد دیگر

Silviu Butnariu is a Professor at the Technical University of Brașov, affiliated with the Department of Automotive and Transport Engineering under the Faculty of Mechanical Engineering. His research spans automotive engineering, cultural heritage preservation, and human-machine interaction. He is based in Brașov, Romania, with offices in Building L (room LII11) and Building G (room GP2). Research focuses include finite element analysis of mechanical systems, VR applications for cultural heritage (e.g., reconstructing ancient tools and sounds), and autonomous vehicle safety through driver-in-the-loop simulations. He also explores wearable sensor systems for posture monitoring and medical applications like robotic prostate biopsy planning. Key trends in publications emphasize cross-disciplinary work: combining VR/AR with engineering methods to preserve heritage, integrating haptic feedback for interactive learning, and advancing autonomous vehicle safety through personalized driving style modeling. Recent work addresses eco-driving strategies and rural transport optimization. His lab develops systems like interactive archery simulators and VR multisensory exhibits. Collaborations include projects on spine posture tracking and robotic surgery planning using haptic interfaces. No specific grants or awards are listed, though his work suggests strong industry and institutional support.

Panagiotis Polygerinosمشاهده پروفایل

دانشیار

• Soft Robotics
• Mechatronics
• Medical Devices
• +۳ مورد دیگر

Panagiotis Polygerinos is an Associate Professor specializing in soft robotics and mechatronics. His research develops compliant robotic systems for medical and assistive applications, including soft actuators, rehabilitation exosuits, and minimally invasive surgical tools. His work integrates soft pneumatic actuators, fabric-based composites, and novel control systems to create devices such as inflatable exosuits for knee rehabilitation, soft robotic orthoses, and tactile surgical instruments. Recent projects include aerial robots with impact-resistant soft bodies and underwater gliders using muscle-actuated buoyancy control. Dr. Polygerinos' publications demonstrate consistent innovation in soft actuation methods with applications spanning rehabilitation, industrial automation, and medical interventions. His research group focuses on bio-inspired designs leveraging compliant materials for safe human-robot interaction.

Conor Keighreyمشاهده پروفایل

مدرس

• Virtual Reality
• Quality of Experience
• Augmented Reality
• +۲ مورد دیگر

Conor Keighrey is a Lecturer in the Department of Computer and Software Engineering within the Faculty of Engineering and Informatics. His research focuses on immersive technologies, including Virtual Reality quality of experience, human-computer interaction, and assistive applications. Key interests involve optimizing collaborative VR systems and developing accessible XR solutions. Recent publications emphasize VR applications in industrial design, accessibility tools for visually impaired users, and physiological metrics in collaborative environments, demonstrating a consistent focus on user-centered extended reality systems.

Leila Takayamaمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction (HRI)
• Human-Computer Interaction (HCI)
• Telepresence
• +۴ مورد دیگر

Leila Takayama is a Human-Robot Interaction (HRI) researcher and currently serves as a Hans Fischer Fellow at the Technical University of Munich's (TUM) Institute for Advanced Study (TUM-IAS). Her work focuses on the psychological and social aspects of human interactions with robots and technologies, emphasizing the design of systems that are intuitive and unobtrusive. Prior to her fellowship, she held a tenured professorship at the University of California, Santa Cruz (2016–2022), and has extensive industry experience with roles at GoogleX, Willow Garage, and her consulting firm Hoku Labs. Leila earned her PhD in Communication from Stanford University (2008) and holds minors in Psychology. Her research spans HRI fundamentals, telepresence systems, and ubiquitous computing, aiming to bridge technical innovation with human-centered design principles. She has contributed to over a dozen commercial robotic products across aerial, ground, and underwater domains, advocating for robots to become 'invisible-in-use' to enhance human experience. Her awards include the IEEE Robotics Early Career Award (2015), MIT TR35 (2012), and recognition as a World Economic Forum Young Global Leader (2013). Her work explores how robots can collaboratively assist in medical, industrial, and oceanic contexts, with recent TUM-IAS projects focusing on human-in-the-loop ocean robotics and telepresence for deep-sea exploration. Education: PhD in Communication, Stanford University, 2008 MA in Communication, Stanford University BAs in Psychology and Cognitive Science, UC Berkeley, 2003 Leila's research interests include the psychology of HRI, telepresence systems, and the ethical implications of ubiquitous computing. Her recent publications highlight advancements in underwater robotics teleoperation, force feedback interfaces, and collaborative human-robot systems. She has also pioneered methodologies for translating academic research into practical robotic designs for diverse industries.

Nikolaus Correllمشاهده پروفایل

دانشیار

• Robotics
• Soft Robotics
• Autonomous Systems
• +۶ مورد دیگر

Nikolaus Correll is an Associate Professor in the Department of Computer Science, holding a courtesy appointment in the AES (likely Aerospace Engineering Sciences) department. His research focuses on robotics, soft robotics, and autonomous systems, with a particular emphasis on integrating machine learning, tactile sensing, and material science into robotic systems. He explores topics such as forceful robotic manipulation, swarm robotics, and human-robot interaction through projects like SIRONA and advanced prosthetic designs. His recent work emphasizes embedded neural networks, tactile sensors for robotic hands, and the ethical implications of dual-use robotics technologies. Notable contributions include advancements in soft actuators (e.g., HASEL actuators) and methodologies for fault prediction in robotic assembly. Correll’s research bridges theoretical foundations with practical applications, addressing challenges in both industrial robotics and assistive technologies. While no specific awards or grants are listed, his publications span foundational robotics journals and conferences, reflecting a prolific output in both hardware and algorithmic innovations. His team’s work on distributed sensor networks and shape-changing materials underscores a vision of robotics as deeply integrated with smart materials and adaptive systems.

• Rehabilitation Engineering
• Biomechanics
• Human-Computer Interaction
• +۶ مورد دیگر

Xianta Jiang is a research-focused academic at Simon Fraser University's School of Computing Science, specializing in rehabilitation engineering and biomedical computing. With a prolific publication record spanning from 2006 to 2025, Jiang has established expertise in force myography, prosthetic control systems, and human-computer interaction for medical applications. Jiang's research interests center on biomechanics, wearable sensor technologies, and surgical training systems. Their work bridges computer vision with rehabilitation engineering, particularly in facial image processing applications for medical contexts. Recent publications demonstrate a strong focus on diffusion models and generative AI techniques applied to medical image restoration and prosthetic control. The research trajectory shows a clear evolution from fundamental biomechanics research (early work on ankle joint power estimation and gait analysis) to more complex applications involving AI-driven prosthetic control and facial image processing. The 2023-2025 publications reveal a strategic pivot toward leveraging advanced computer vision techniques for medical applications. Jiang collaborates extensively with M. Stella Atkins, Bin Zheng, and Carlo Menon, forming a core research group at Simon Fraser University focused on biomedical computing applications. This collaborative network spans multiple publications in high-impact venues including IEEE Transactions, Sensors, and Frontiers journals.

Filip De Turckمشاهده پروفایل

استاد

• Resilient Networks
• Anomaly Detection
• Large-Scale Data Processing
• +۳ مورد دیگر

Filip De Turck is a Professor at Ghent University's Department of Information Technology , leading the network and service management team. With a PhD in Engineering (2002) and a visiting postdoc at Columbia University (2003), his research focuses on resilient softwarized networks , anomaly detection , and adaptive large-scale data processing . He has supervised 38 PhD students and currently mentors 8, with an h-index of 40 and over 8952 citations. Research Interests : Resilient networks, anomaly detection, edge computing, Kubernetes orchestration, SDN, and adaptive data processing. Education : Master in Electrical Engineering (1997), PhD in Engineering (2002) from Ghent University. Leadership : Co-authored 180 Web of Science journal papers and 500+ peer-reviewed works, leading the IDLab network and service management team. Publications : Recent studies span reinforcement learning for container orchestration, haptic-enabled VR systems, and knowledge graphs for network security. Impact : Innovations in cloud-native edge computing, volumetric video delivery, and federated learning for intrusion detection.

Keiko Katsuragawaمشاهده پروفایل

استادیار مدعو

• Human-Computer Interaction
• Augmented Reality
• Accessibility Technology
• +۲ مورد دیگر

Keiko Katsuragawa is an Adjunct Assistant Professor at the Cheriton School of Computer Science within the University of Waterloo. Her research focuses on human-computer interaction, augmented reality systems, and assistive technologies for neurodiverse populations. She specializes in developing interactive systems such as hand-anchored AR interfaces, neurofeedback training games for children with autism spectrum disorders, and accessibility technologies for aging populations. Her work integrates AI, sensor technologies, and interaction design to create impactful solutions. Research publications primarily explore AR/VR interfaces, accessible technology design, and computational social science approaches. Key trends include gesture-based interaction, therapeutic applications for neurodevelopmental conditions, and IoT solutions for independent living. Laboratory Focus: Human-Computer Interaction Lab Augmented Reality Research Group Accessibility Technology Initiative

Steve Martinمشاهده پروفایل

پژوهشگر

• Robotics
• Autonomous Systems
• Computer Vision
• +۴ مورد دیگر

Steve Martin is a Researcher at the QUT Centre for Robotics, Queensland University of Technology. He holds a Bachelor of Mechatronics (QUT, 2009) and was a former PhD student under Professors Gordon Wyeth and Peter Corke at the QUT Cyphy Lab. Since rejoining QUT in 2016, he has contributed to the Australian Centre for Robotic Vision’s engineering projects, focusing on robotics maintenance, software development, and electrical design. His work spans diverse applications including autonomous agricultural systems for weed control, semi-automated power infrastructure inspection, and robotic coral reef monitoring. Key projects include the 'Mini Autonomous Vehicles' initiative (AOS: Kelpie) and coral reef surveillance systems. Research interests emphasize real-time perception, long-term robot navigation, and energy-efficient robotic systems. He has developed solutions for traversability mapping, proprioceptive sensing, and distributed object tracking. Notable contributions include pandemic-related ventilator design and light field camera adapters. Steve collaborates across disciplines, bridging robotics engineering with environmental and medical applications. Advising and grants: While no current advisees are listed, his PhD supervision experience at QUT and contributions to large-scale robotic projects highlight his mentorship role. He actively engages with industry partnerships, particularly in agricultural and infrastructure robotics. Labs/Teams: Core member of the QUT Centre for Robotics, contributing to cross-disciplinary research in autonomous systems and robotic vision.