Eisa Anwar is a Lecturer at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science. He teaches the second-year undergraduate module Design and Build Project in Robotics Engineering (Robotics II) , focusing on robotics hardware/software integration, teamwork, and project management. His research explores wearable robotics for human balance support, hybrid mobile robots, and biomechanical systems. His teaching emphasizes technical skills (e.g., robotics design) and soft skills (e.g., leadership and project planning). Research interests include robotic tail designs for human augmentation, biomechanical modeling, and control systems for assistive technologies. No awards or grants are explicitly mentioned in the provided texts. Advising activities and lab affiliations are not detailed in the available information.
Tjitske Heida is an Associate Professor in the Biomedical Signals and Systems department at the TechMed Centre. Her research focuses on movement disorders, particularly Parkinson’s disease and essential tremor, with a focus on neuroengineering solutions such as deep brain stimulation (DBS), functional MRI analysis, and wearable sensor technologies. She explores neural mechanisms underlying motor control and develops innovative diagnostic and therapeutic tools. Her work integrates neuroimaging (fMRI), electrophysiological recordings, and computational modeling to study sensorimotor pathways and network connectivity. Recent projects include ankle sensor-based detection of freezing of gait, intraoperative tremor quantification using accelerometry, and novel fMRI approaches to manipulate sensorimotor loops in tremor patients. Her research contributes to UN Sustainable Development Goals related to health and well-being. Collaborations span neurology, biomedical engineering, and clinical neurophysiology. While no explicit awards or grants are listed, her extensive publication record (117+ outputs) demonstrates sustained academic impact. She oversees research activities involving advanced technologies like augmented reality cues for gait improvement and directional DBS electrode modeling. Her team’s work bridges clinical needs with engineering innovation to address unmet challenges in movement disorder management.
Shai M. Rozen is an Assistant Professor in the Department of Plastic Surgery at UT Southwestern Medical Center. His clinical expertise spans both reconstructive and cosmetic plastic surgery, with a focus on complex facial paralysis, peripheral nerve surgery, and diabetic neuropathy. He completed his general surgery training at Johns Hopkins Hospital, followed by plastic surgery residency and advanced fellowships in craniofacial reconstruction and peripheral nerve surgery under Dr. Kenneth Salyer and Dr. Lee Dellon. Research interests include nerve decompression for diabetic neuropathy, facial reanimation techniques, and outcomes analysis of surgical procedures for facial paralysis. Key clinical areas include post-surgical nerve pain management, facial nerve trauma, and aesthetic procedures like facelifts and breast augmentation. Dr. Rozen’s work emphasizes translational research bridging anatomy, neurology, and surgery. Over 90 peer-reviewed publications highlight his contributions to facial nerve microanatomy, synkinesis treatment, and craniofacial reconstruction outcomes. His clinical practice integrates innovative surgical approaches with evidence-based medicine to address complex reconstructive challenges.
Dr. Robert Scheidt is a Professor in the Joint Department of Biomedical Engineering at Marquette University and the Medical College of Wisconsin (MCW), and holds a joint appointment in the MCW Department of Neurology. He earned his B.S. in Electrical Engineering from Marquette University (1989), followed by M.S. and Ph.D. in Biomedical Engineering from Northwestern University (1992, 1998). His research focuses on human motor control, rehabilitation engineering, and sensorimotor adaptation, with applications in stroke recovery and neurorehabilitation. He leads the NeuroMotor Control Laboratory (NMCL), which explores neural mechanisms of movement control and develops assistive technologies for impaired populations. Dr. Scheidt teaches courses such as BIEN 3300 (Signals & Systems for Biomedical Engineering) and BIEN 6600 (Neuromotor Control), emphasizing engineering principles applied to biomedical systems. His recent grants include NIH-funded projects addressing post-stroke arm non-use and kinesthetic feedback interventions. Key publications (2023–2025) investigate vibrotactile feedback training, wearable systems for rehabilitation, and neural mechanisms of motor adaptation. His work bridges clinical and engineering challenges, aiming to improve sensorimotor function through technology and neuroscience insights. Education: Ph.D., Biomedical Engineering, Northwestern University (1998) M.S., Biomedical Engineering, Northwestern University (1992) B.S., Electrical Engineering, Marquette University (1989) Research Themes: Human motor control, rehabilitation robotics, sensorimotor adaptation, wearable technologies, post-stroke recovery. Grants: NIH R21: Addressing arm non-use post-stroke (2022–2024) NICHD R15: Kinesthetic feedback for hemiparetic arm control (2017–2024) Lab: Founder & Co-Director, NeuroMotor Control Laboratory (NMCL).
Louiza Voniati is an Associate Professor and Acting Deputy Dean at the School of Sciences, European University Cyprus, where she leads the Department of Speech and Language Therapy. She holds a Doctorate from the Open University of London (2009–2013) and has extensive clinical experience as a Speech and Language Therapist in Cyprus and Greece. Her research focuses on language assessment in children, telepractice in therapy, and communication disorders in neurodevelopmental conditions like Rett Syndrome and Autism Spectrum Disorder. Her academic roles include coordinating the undergraduate Speech and Language Therapy program at European University Cyprus (2016–2021), leading the Erasmus+ iDecide project team (2017–2020), and serving on national councils such as the Registration Council of Speech-Language Pathologists (2014–present). She has authored over 30 peer-reviewed publications and led 15+ research projects, including validations of clinical tools like the Arizona Battery for Communication Disorders of Dementia. Key research themes include: (1) Telepractice adaptations during the pandemic, (2) Assessment methodologies for Cypriot-Greek-speaking children, and (3) Interdisciplinary approaches to feeding and swallowing disorders. Her work emphasizes culturally responsive clinical practices, evidenced by adaptations of assessment tools for Greek and Cypriot populations. Notable awards include the 2020 Excellence in Teaching Award from European University Cyprus and the 2017 Ministry of Education Award for contributions to special education. She currently chairs the scientific committees of non-profits addressing rare diseases and autism spectrum disorder. Her professional networks span international collaborations, including presentations at the ASHA Convention (USA) and European Speech-Language Therapy Congresses. She has pioneered the use of nasalance measurement in Greek-speaking children and validated assistive technologies like the Novafon pulse therapy system for pediatric populations.
Dr. Regis Kopper is an Assistant Professor of Computer Science at Iowa State University, leading the Interactive Realities Laboratory (IRLab). He holds a PhD from Virginia Tech and prior faculty positions at UNC Greensboro and Duke University. His research focuses on Extended Reality (XR) interfaces, user experience (UX), and immersive systems for healthcare, public safety, and training. Notable contributions include modular AR interfaces for first responders, VR surgery guidance tools, and studies on visual search patterns in medical diagnostics. Education: PhD in Computer Science (Virginia Tech, 2011); MS & BA in Computer Science (Pontifical University of Rio Grande do Sul, Brazil, 2006 & 2004). Research Interests: Design of 3D UIs, VR/AR applications in healthcare, and reducing VR discomfort. Key achievements include Best Paper Awards at IEEE 3DUI and the IEEE VR Grand Prize. Current projects aim to democratize healthcare access via immersive tech. Grants: NSF, NIH, NIST, DoD, FLAD-Portugal, FAPESP Awards: IEEE 3DUI Best Paper, FLAD Fellowship Labs: Interactive Realities Lab (IRLab), Duke immersive Virtual Environment (DiVE) Recent work explores equitable healthcare solutions through XR, including virtual colonoscopy viewers and nutrition education programs.
Timothy Reissman is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Dayton’s School of Engineering. He is a full-time faculty member actively engaged in research, teaching, and professional service. His work bridges engineering and healthcare, focusing on human-machine interfaces and assistive technologies. Education: Ph.D., Mechanical Engineering, Cornell University, 2013 M.S., Mechanical Engineering, Cornell University, 2008 B.S., Mechanical and Aerospace Engineering, Cornell University, 2002 Dr. Reissman's research centers on developing mechatronic systems to improve medical and assistive devices such as prostheses, exoskeletons, rollator walkers, and canes. His work integrates biomechanics, control systems, and wearable technology. He maintains clinical collaborations with physical therapy faculty and hospitals in the Dayton area, ensuring real-world relevance. His group also investigates coupled electromechanical systems and energy harvesting for autonomous devices. His recent publications span from 2025 to 2020, showing sustained productivity in interdisciplinary areas including rehabilitation engineering, robotics, smart thermostats, and engineering education. The research demonstrates a strong trend toward human-centered design, sensor integration, and the application of virtual reality and wearable sensors in mobility assessment. Scientific Awards: University Teaching Fellow, University of Dayton, 2017–2018 Kern Entrepreneurial Engineering Network Faculty Fellow, 2017 National Institutes of Health NRSA T32 Postdoctoral Fellow, 2013–2015 Intelligence Community Research Fellow, Department of Defense, 2010–2012 Dr. Reissman advises student research and teaches courses such as Mechatronics, Robotics, and Dynamic Systems. He has secured research grants related to assistive technology and engineering education, including NSF IUSE grants. He serves as an Associate Editor for the Journal of Assistive Technology and is active in ASME, IEEE, and ASEE. His work is supported by strong institutional and clinical partnerships. He leads a research group focused on autonomous systems and human augmentation, with access to labs in Kettering Laboratories. His team develops novel solutions such as smart prosthetic liners, energy-harvesting structures, and feedback devices for mobility aids. Future work includes expanding the use of VR and AI in rehabilitation and enhancing the functionality of wearable assistive devices.
Yalda Shahriari is an Associate Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island . Her research focuses on neural engineering , biomedical signal processing , and brain-computer interfaces for assistive technology. Education Postdoctoral Research Associate, University of California, San Francisco (2016) Ph.D., Biomedical Engineering, Old Dominion University (2015) M.Sc., Biomedical Engineering, Iran University of Science and Technology (2011) B.Sc., Electrical Engineering, Ferdowsi University of Mashad (2008) Research Interests include graph-based neural dynamics modeling, multimodal neuroimaging (EEG/fNIRS), and machine learning for healthcare. She develops hybrid BCI systems to assist patients with amyotrophic lateral sclerosis (ALS) and parkinson’s disease , emphasizing personalized algorithms and nonlinear neural modeling . Publication Trends show a focus on graph theory , machine learning , and hybrid BCI systems for neurological disorders. Her work integrates fNIRS , EEG , and motion capture to study brain-body interactions. Grants include multiple National Science Foundation (NSF) projects as Principal Investigator , covering smart textile NICU monitoring , auditory processing dynamics , and personalized BCI algorithms for ALS patients.
Gionata Salvietti is an Associate Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena, specializing in collaborative robotics, assistive devices, and haptics. He serves as Associate Editor for IEEE Transactions on Robotics (since 2022) and IEEE Transactions on Haptics (since 2020), and leads major European research initiatives including the Erasmus+ project 'Immersive Surgical Edu' and PRIN project 'ARTIS'. Education: PhD in Information Engineering, University of Siena, 2012 Master's degree in Computer Engineering, University of Siena, 2009 Research Focus: Salvietti pioneers human-robot collaboration through haptic interfaces, developing wearable systems for surgical training and industrial applications. His work integrates virtual reality, augmented reality, and neurophysiological principles to enhance human performance in healthcare and manufacturing environments, with emphasis on quantifying user experience and sensorimotor control. Publication Trends: Recent work demonstrates convergence of haptics, immersive technologies, and soft robotics—evident in surgical training systems, warehouse automation tools, and neurorehabilitation techniques. Key themes include hand reflex analysis in human-robot interaction, stochastic resonance for motor control, and pneumatic soft grippers enabling new sensing modalities. Projects: Principal Investigator, Erasmus+ 'Immersive Surgical Edu' (2024-present) Principal Investigator, PRIN 'ARTIS' (2023-present) Teaching & Operations: Teaches Automatic Controls (Bachelor's level) and Industrial Robotics (Master's level) across academic years 2020-2026. Maintains active research laboratory (Lab. 237) with Tuesday office hours 2:00-5:00 PM, requiring email pre-appointment.
Prof. Richard Hahnloser is a Full Professor at ETH Zürich's Department of Information Technology and Electrical Engineering, affiliated with the Institute for Neuroinformatics. He holds a PhD in Physics from ETH Zurich (1999, awarded the ETH Medal) and conducted postdoctoral research at MIT, Howard Hughes Medical Institute, and Bell Labs. His research focuses on neural mechanisms underlying vocal learning in songbirds, particularly auditory-motor signal processing and synaptic plasticity in neural networks. Education: Physics studies at ETH Lausanne and Zurich (Diploma 1996, PhD 1999). Career highlights include roles as a Swiss National Science Foundation Professor (2004–2007) before becoming a Full Professor at ETH Zurich in 2007. He explores interdisciplinary approaches combining experimental neuroscience, theoretical modeling, and bioimaging. Research interests include decoding neural networks of song systems, studying motor control via X-ray CT and Neuropixels recordings, and applying machine learning to vocal behavior analysis. Recent work highlights vocal plasticity, sleep-related neural dynamics, and neurotechnology for chronic neural recording. Notable achievements include the ETH Medal for his PhD and contributions to understanding syrinx anatomy and sensorimotor adaptation. His lab develops tools like MODOC for scientific text analysis and employs correlative microscopy techniques to study neural circuits.
Professor Trevor Darrell is a faculty member in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. He leads research in computer vision, machine learning, and robotics, focusing on algorithms for visual recognition and perception-based interfaces. His affiliations include the Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Center for Responsible, Decentralized Intelligence (RDI), and the International Computer Science Institute (ICSI). Education: PhD, MIT (1996) BSE in Computer Science, University of Pennsylvania (1988) Research Interests: Professor Darrell’s work spans Artificial Intelligence , Computer Vision , Robotics , and Multimodal Learning . His recent efforts emphasize vision-language models, embodied AI, and ethical AI frameworks for healthcare and robotics. Notable Contributions: His articles in 2025 highlight advancements in multimodal generation, humanoid control, and model alignment. Trends include leveraging vision-language integration for robotics tasks and addressing AI bias and hallucination. Awards: ICML Test of Time Award (2024) ACM SIGMM Test of Time Paper Award (2024) CVPR Longuet-Higgins Prize (2024) Labs & Collaborations: Leads BAIR and RDI, advancing responsible AI and geospatial analysis through initiatives like Berkeley Deep Drive and the CITRIS People and Robots (CPAR) program.
Anil Seth is Professor of Cognitive and Computational Neuroscience at the University of Sussex, where he serves as Director of the Sussex Centre for Consciousness Science. He is also Co-Director of the Canadian Institute for Advanced Research (CIFAR) Program on Brain, Mind, and Consciousness. His research bridges psychology, philosophy, computer science, AI, physics, mathematics, psychiatry, and neurology to determine the biological basis of conscious experience. Dr. Seth completed his MA in Natural Sciences at Cambridge University in 1996, followed by an MSc in Knowledge-Based Systems and a DPhil in Computer Science & Artificial Intelligence, both at the University of Sussex. He worked as a postdoctoral researcher at The Neurosciences Institute in San Diego from 2001-2006 before returning to Sussex. Seth's research is guided by two key principles: that consciousness science should account for properties of subjective experience in terms of neural mechanisms, and that basic experiences of conscious selfhood depend on close connections between brain and body. His lab develops mathematical measures of information flow and neuronal complexity as markers of conscious level, investigates how conscious perception depends on neural mechanisms underlying 'predictive processing' in the Bayesian brain, and explores how prediction of bodily signals underlies basic experiences of selfhood using virtual reality and psychophysiology. These insights are translated into new approaches for understanding disturbances of conscious experience in psychiatric disorders. His publications reveal a consistent focus on the neural basis of consciousness, with recent work expanding into consciousness in artificial intelligence, ethics of brain-computer interfaces, and stroboscopically-induced hallucinations. His research spans theoretical frameworks, empirical studies, and practical applications across multiple domains. Clarivate Highly Cited Researcher (2019-2024) Royal Society's Michael Faraday Prize (2023) Prospect Magazine Top 25 Thinkers for 2024 Royal Society Young People's Book Prize (2014) BBC Radio Drama Awards Best Single Drama (2016) 2019 KidSpirit Perspective prize 2023 Segerfalk Prize from the University of Lund Seth has received significant research funding including an EPSRC Leadership Fellowship, an ERC Advanced Investigator Grant, support from the Wellcome Trust, and funding from CIFAR. He was previously a Wellcome Trust Engagement Fellow (2016-2020) and founding Editor-in-Chief of Neuroscience of Consciousness (2014-2024). His book 'Being You: A New Science of Consciousness' (2021) became a Sunday Times Top 10 Bestseller and was named Book of the Year by multiple publications including The Economist and The New Statesman. His 2017 TED Talk has garnered over 15 million views and is among TED's most popular science talks. He leads the Sussex Centre for Consciousness Science and collaborates extensively with international researchers, including through the CIFAR Program on Brain, Mind, and Consciousness. His work increasingly intersects with artists and creators, as evidenced by projects like Dreamachine, an innovative immersive experience combining art, neuroscience, architecture, and music.
Solaiman Shokur is a Senior Scientist at the Translational Neuroengineering Laboratory at École Polytechnique Fédérale de Lausanne (EPFL), holding the Bertarelli Foundation Chair in Translational Neuroengineering in Geneva. He is affiliated with EPFL's School of Engineering and leads the CHRONOS project, a multi-center European initiative developing chronically implanted prosthetic hands for transradial amputees. His work spans the NCCR Robotics program focusing on bi-directional control of supernumerary limbs. Dr. Shokur's research interests center on neuroengineering solutions for sensory-motor restoration. His expertise includes virtual reality for rehabilitation, invasive and non-invasive brain-machine interfaces, and haptic devices. His work particularly focuses on restoring sensory feedback for prosthetic users, including thermal, tactile, and wetness perception. He has pioneered approaches to remap phantom thermal sensations in amputees and develop devices that provide natural temperature feedback through prosthetic hands. His research also extends to robotic body augmentation, investigating how humans can control extra robotic limbs without compromising natural motor functions. An analysis of his recent publications reveals a strong focus on sensory restoration in neuroprosthetics, particularly thermal and wetness perception for upper limb amputees. His work bridges engineering and neuroscience, with significant contributions to understanding neural resource allocation when controlling extra robotic limbs. His research spans clinical applications for Parkinson's disease gait analysis, spinal cord injury rehabilitation, and innovative human-machine interfaces using auricular muscles and other biosignals. As Team Leader of the CHRONOS project and a key researcher in the NCCR Robotics program, Dr. Shokur directs significant research efforts in translational neuroengineering. His laboratory develops and validates technologies for restoring sensory-motor functions in patients with complete paraplegia and upper arm amputation. The Translational Neuroengineering Laboratory at Campus Biotech serves as the hub for his research, where he collaborates with clinicians and engineers to translate laboratory findings into clinical applications.
Thomas Stieglitz is a Professor and Director of the Professorship for Biomedical Microtechnology at the Faculty of Engineering, University of Freiburg. He maintains strong affiliations with the Bernstein Center Freiburg, the Institute for Microsystems Technology (IMTEK), BrainLinks-BrainTools, and the Intelligent Machine-Brain Interfacing Technology initiative. His research program focuses on developing advanced neural interfaces and biomedical microsystems for restoring lost body functions after neurological injury or amputation. Professor Stieglitz's research spans multiple cutting-edge areas in neural engineering. His work centers on neural implants for long-term stable interface with the nervous system, brain-computer interfaces for restoring communication and control, and neuroprosthetics for restoring sensory and motor functions. He investigates microfabrication techniques for creating biocompatible neural interfaces, wireless power and data transfer methods for implantable devices, and sensory feedback systems for prosthetic limbs. His research also addresses neuromodulation approaches for treating neurological conditions and biomechanical analysis of human movement in amputees and patients with neurological disorders. His recent publications reveal a strong emphasis on developing miniaturized neural interfaces with improved biocompatibility, enhancing wireless communication for implantable devices, and creating advanced neuroprosthetic systems with sensory feedback. The research spans from fundamental materials science for neural interfaces to clinical applications in rehabilitation, with particular focus on long-term stability of neural implants and restoring natural sensory experiences in prosthetic users. Among his notable scientific achievements is being named an IEEE Fellow in 2022, recognizing his significant contributions to biomedical engineering and neural interface technology. This prestigious honor places him among the top researchers in his field worldwide. Professor Stieglitz has advised 37 doctoral and master's students throughout his career. He has managed an impressive portfolio of 25 research projects, serving as project manager for 14 major initiatives including AI-Hand, Active Stents, and BaroLoop. His leadership extends to significant administrative roles including Geschäftsführender Direktor of IMTEK (2021-2025), membership in the University Senate, chairing the admissions committee for BSc/MSc programs, and serving as General Co-Chair for major international conferences. He leads the Intelligent Machine-Brain Interfacing Technology research group and collaborates extensively with the BrainLinks-BrainTools cluster of excellence. His laboratory combines expertise in microsystem technology, neuroscience, and clinical rehabilitation to develop next-generation neural interfaces that bridge engineering and medicine, with the ultimate goal of restoring natural function to individuals with neurological impairments.
Prof. Dr. Martin Diers is a Professor in the Research Section for Clinical and Experimental Behavioral Medicine at the Department of Psychosomatic Medicine and Psychotherapy, Faculty of Medicine, Ruhr University Bochum (RUB). He is affiliated with the LWL University Hospital Bochum, where he conducts research on pain mechanisms and innovative treatment approaches. Dr. Diers' research focuses on the psychobiological mechanisms of chronic musculoskeletal pain syndromes (including chronic back pain and fibromyalgia) and neuropathic pain (particularly phantom limb pain). His work spans multiple domains including pain physiology, endogenous pain inhibition mechanisms, attentional effects on pain perception, and novel treatment approaches. He employs both traditional behavioral therapy techniques and experimental procedures utilizing body illusions such as the mirror box illusion, rubber hand illusion, and real-time visual feedback. His laboratory integrates advanced technologies including virtual reality, augmented reality, electroencephalography (EEG), and functional magnetic resonance imaging (fMRI) to investigate pain phenomena and develop innovative interventions. Analysis of Dr. Diers' recent publications reveals a consistent focus on visual and multisensory approaches to pain management. His research demonstrates how manipulating body representation through visual feedback can significantly alter pain perception. The publications span multiple pain conditions including fibromyalgia, phantom limb pain, and chronic back pain, showing the broad applicability of his approaches. His work bridges basic neuroscience with clinical applications, translating experimental findings into potential therapeutic interventions. At Ruhr University Bochum, Dr. Diers is part of the Research Department of Neuroscience, contributing to interdisciplinary research efforts focused on understanding and treating neurological and pain-related conditions. His work connects psychological, neurological, and physiological aspects of pain, positioning him at the intersection of multiple scientific disciplines.
