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Ben SidawayView profile

Professor

• Motor Control
• Motor Learning
• Biomechanics
• +5 more

Ben Sidaway, PhD, is the Geneva Allen ’49 Professor in Health Sciences at Husson University’s College of Health and Pharmacy, School of Physical Therapy. He holds a B.Sc. (Hons) in Sports Science and Ecology from Liverpool University, an M.A. in Motor Behavior and Biomechanics from the University of North Carolina, and a Ph.D. in Motor Control/Learning from Penn State University. Prior to Husson, he was a Professor in Louisiana State University’s Kinesiology Department and director of their motor behavior lab. His research focuses on applying motor control and learning principles to clinical populations, particularly improving gait in older adults and Parkinson’s patients. He collaborates with mechanical engineers to develop wearable haptic feedback systems for gait rehabilitation. Notable grants include NIH funding for interlimb neural coupling in gait rehabilitation ($551,912) and Husson University funding for Parkinson’s gait analysis ($1,896). Key research areas include mediolateral stability in fall prevention, haptic feedback applications, and motor skill learning in aging populations. His peer-reviewed work spans over 100 publications, emphasizing biomechanical and neurological aspects of human movement. Collaborations with institutions like the University of Maine and University of Southern California underscore his interdisciplinary approach to motor behavior research. Dr. Sidaway’s teaching expertise includes Motor Control/Learning, Biomechanics, Anatomy, and Neuroscience. His lab work and grants highlight a commitment to translating research into clinical practice for improved mobility outcomes.

Adriana Jessica Sanchez GarciaView profile

Researcher

• Data Science
• Healthcare AI
• Machine Learning in Medicine
• +3 more

Adriana Jessica Sanchez Garcia is a Researcher and Graduate Student affiliated with the Data Science +X Graduate School , working in the Calgo Lab under the supervision of Prof. Dr. Felix Bießmann. Her research focuses on cutting-edge applications of artificial intelligence in healthcare, cell biology, and human-computer interaction. Key projects include clinical assertion classification, outcome prediction from patient data, and virtual reality solutions for medical training (e.g., AnorexiaVR). She contributes to interdisciplinary initiatives funded by German and EU research bodies (DFG, BMBF, BMG). Her work spans AI-driven health analytics, such as vessel segmentation algorithms and prediction models for medical conditions like renal transplant outcomes. She also explores green AI applications in biodiversity and HCI innovations like haptic interfaces and gesture-based control systems (e.g., WINK project). Adriana’s contributions are part of collaborative efforts with institutions in Berlin and beyond, reflecting her commitment to advancing AI ethics and data quality in machine learning systems.

Julian SeifertView profile

Researcher

• Human-Computer Interaction (HCI)
• Mobile Computing
• Pervasive Computing
• +3 more

Dr. Julian Seifert is a former research associate at Ulm University's Institute of Media Informatics (Department of Media Informatics). His work focuses on Human-Computer Interaction (HCI), particularly in mobile computing, pervasive displays, and collaborative systems. He completed his PhD in 2015 with a dissertation on Mobile Mediated Interaction with Pervasive Displays , recognized for its contributions to the field. Key research areas include autonomous displays (Hover Pad), privacy-respecting mobile interactions (From the Private Into the Public), and hybrid device ecosystems (MobiSurf). His work often explores how mobile devices can seamlessly integrate with interactive surfaces and public displays to enhance collaboration and user experience. Notable achievements include an Honorable Mention Award (2014) for the AMP-D project and a Best Note Award (2013) for the Penbook system. His research bridges theoretical HCI principles with practical applications in domestic environments and healthcare workflows.

Rasoul SadeghianView profile

Researcher

• Soft Robotics
• Deep Learning
• Control Systems
• +3 more

Rasoul Sadeghian is a Researcher at the Royal College of Art (RCA), specializing in robotics and autonomous systems since 2019. He holds an MSc in Mechatronics Engineering (Islamic Azad University, 2015) and a BSc in Applied Mathematics (Vali E Asr University, 2012). Prior to RCA, he served as a Research Fellow/Instructor at Tehran University's TaarLab (2013–2018) and Senior Researcher at INGV Co., Italy (2018–2019). His research focuses on Soft Robotics, Deep Learning, and Control Systems , with an emphasis on autonomous systems for extreme environments. He leads the MIMRee project , developing robotic solutions for offshore wind turbine inspection and repair. His work integrates vision-based control, adaptive gripping, and decision-making algorithms for robotics. Rasoul has published extensively on topics including robotic anchoring systems, telerobotics, and AI-driven medical imaging. His expertise spans robotics hardware design, simulation (ROS/Gazebo), and machine learning applications in automation. Current affiliations include the RCA Robotics Laboratory and contributions to the Multi-Platform Inspection Maintenance & Repair In Extreme Environment (MIMRee) initiative. His research bridges theory and practice, addressing challenges in robotics for renewable energy and industrial maintenance.

Atieh TaheriView profile

Researcher

• Accessibility and Assistive Technology
• Human-Computer Interaction
• User-Centered Design
• +3 more

Atieh Taheri is a Presidential Postdoctoral Fellow at Carnegie Mellon University's Human-Computer Interaction Institute (HCII), working with Professors Jeffrey Bigham and Patrick Carrington. She holds a PhD in Electrical and Computer Engineering from UC Santa Barbara, advised by Misha Sra. Her research focuses on accessibility and assistive technologies, particularly in immersive environments like AR/VR, emphasizing participatory design involving disabled users. She has pioneered solutions such as hands-free gaming controllers and tactile feedback systems for individuals with motor impairments. Education: PhD in Electrical & Computer Engineering, UC Santa Barbara (2024) MSc in Electrical & Computer Engineering, UC Santa Barbara (2019) BSc in Computer Engineering, Sharif University of Technology (2011) Research Interests: Accessibility, inclusive design, assistive technologies, AR/VR/XR, user-centered approaches, and human-computer interaction. Her work bridges assistive technology with cutting-edge interfaces, prioritizing holistic experiences that address both functional and sensory needs. Key Contributions: Developed facial expression-based gaming controllers, tactile feedback devices (e.g., MouseClicker), and accessible conversational AI (Virtual Buddy). Her research has been recognized through awards like the UIST 2023 People's Choice Award and CHI 2021 Student Game Competition victory. Professional Experience: Student Researcher at Google (2022-2023) Associate roles at Apple (2016-2017) Software Engineer Intern at Magic Leap (2015) Service & Advocacy: Organized workshops like EC3V (CVPR 2023), served on committees for NeurIPS WiML (2019), and contributed to fundraising for Spinal Muscular Atrophy (SMA) research. She actively promotes accessibility in technology through interdisciplinary collaboration.

Loraine ClarkeView profile

Lecturer

• Human Computer Interaction
• Design Research
• Tangible Interaction
• +5 more

Loraine Clarke is a Lecturer in the School of Computer Science Institute of Engineering at the University of St Andrews. Her research focuses on Human-Computer Interaction (HCI), design research, and tangible interaction, with an emphasis on sustainable technologies and community empowerment. She holds a PhD in HCI from the University of Strathclyde, where she studied social interaction at museum exhibits. Key research interests include tangible physical interaction, decentralised digital futures, and participatory design. She leads projects like Decentralising Digital , co-creating narratives for rural Indian communities to challenge dominant tech narratives, and Our Friends Electric , advocating for ethical voice-enabled internet practices with Superflux and Mozilla. Her teaching includes CS5041: Interactive Software and Hardware (prototype development) and CS5042: User-Centred Interaction Design . She actively collaborates with global institutions and invites PhD applications in sustainable design and tangible interaction. Loraine’s work contributes to UN Sustainable Development Goals, emphasizing equitable technology and environmental stewardship through design research.

• Medical Robotics
• Soft Robotics
• Surgical Robotics
• +3 more

Olivier Piccin is a Lecturer at INSA Strasbourg, affiliated with the Automatic Vision and Robotics team at the LSIIT (CNRS & University of Strasbourg). He holds a DEA in Robotics from Paris-6 University and a doctoral thesis from LAAS in Toulouse. His roles include teaching in mechanical engineering and mechatronics, as well as administrative leadership positions such as Mechanical Platform Manager at INSA. Research focuses on medical robotics, particularly in interventional radiology and minimally invasive surgery, with contributions to soft robotics, robotic control systems, and surgical tool design. Education: National School of Arts and Crafts (Arts&Métiers ParisTech), 1989–1992 DEA in Robotics, Paris-6 University, 1991–1992 Doctoral Thesis, LAAS, Toulouse, 1992–1995 Research Interests: Medical robotics, soft robotics, surgical robotics, robotic control systems, and biomedical engineering. His work advances applications in minimally invasive surgery and robotized medical devices, leveraging material science and advanced control theory. Key Contributions: Over 30 publications since 2005, including studies on cable-driven robotics, soft actuator fabrication, and haptic feedback systems for surgical tools. Active collaboration with IRCAD’s medical robotics platform. Administration: Mechanical Platform Manager (since 1999) Elected member of LGeCo lab council (2005–2008) INSA Board of Directors member (2007–2011) Labs/Teams: Automatic Vision and Robotics team at LSIIT, collaborating with IRCAD’s medical robotics platform for surgical innovation.

Filipe VeigaView profile

Assistant Professor

• Robotics
• Machine Learning
• Tactile Sensing
• +4 more

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
• +5 more

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
• +6 more

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 LoucaView profile

Professor

• Dental Education
• Prosthodontic/Restorative Dentistry
• Assessment Methods in Dentistry
• +3 more

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 BednarikView profile

Professor

• Human-Computer Interaction
• Medical Imaging
• Machine Learning
• +4 more

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
• +5 more

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 ButnariuView profile

Professor

• Machine Parts
• Finite Element Analysis
• Engineering in Cultural Heritage
• +3 more

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 PolygerinosView profile

Associate Professor

• Soft Robotics
• Mechatronics
• Medical Devices
• +3 more

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.