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Andrea Megela Simmons is a Professor at Brown University in the Department of Cognitive, Linguistic, and Psychological Sciences with a secondary appointment in the Department of Neuroscience . She is a member of the Carney Institute for Brain Science and serves as a Principal Investigator on an ONR MURI project. Education : A.B. from the University of Pennsylvania (1973), Ph.D. from Harvard University (1978), Postdoctoral research at Cornell University Simmons specializes in cognitive and neural mechanisms of sound perception and communication across species including frogs, bats, dolphins, and humans. Her work bridges behavioral neuroscience, comparative neurology, and developmental studies to explore auditory processing, echolocation, and sensory integration. Her recent publications highlight interdisciplinary trends in auditory neuroscience, focusing on sound exposure effects, metamorphic neurodevelopment, and sensory-motor coordination in cluttered environments. Key subfields include echolocation, lateral line function, tectal connectivity, and acoustic adaptation across species. Scientific Awards : Fellow, Acoustical Society of America Simmons has received grants from the Office of Naval Research (ONR) for MURI projects and has taught courses such as Animal Behavior , Evolution and Development of the Brain , and Auditory Perception Laboratory .

• Behavioral Neuroscience
• Comparative Neuroscience
• Development
• +5 more

Prof. Dr. Nadine Lehnen is a Research Group Leader at the Department of Psychosomatic Medicine , Faculty of Medicine, Technical University of Munich (TUM). Her work bridges computational neuroscience and psychosomatic disorders, focusing on the central nervous system (CNS) mechanisms underlying functional symptoms that lack organic explanations. Research Focus : Functional somatic disorders, sensorimotor processing, vestibular system dysfunction, and computational modeling of symptom pathogenesis. Key Collaborations : EURONET-SOMA Group, interdisciplinary teams in neuroscience and clinical psychology. Her recent studies explore sensorimotor dysregulation in irritable bowel syndrome, post-COVID symptoms, and functional dizziness, emphasizing transdiagnostic mechanisms. Publications highlight translational approaches combining computational and experimental methods to redefine understanding of persistent physical symptoms. She mentors students such as Dr. Lena Schröder and Dr. Dina von Werder, contributing to training in psychosomatic research. While no specific awards are listed, her work has been supported by institutional affiliations and collaborative grants.

• Neurobiology of psychosomatic disease
• Computational and translational psychosomatics
• Sensorimotor gaze control
• +3 more

Nicolas Davidenko is an Associate Professor in the Department of Psychology at the University of California, Santa Cruz (UCSC). He leads the High Level Perception Lab, focusing on behavioral and computational studies of human perception, particularly face recognition, spatial orientation, and visual ambiguity. His work emphasizes 'top-down' processes like attention and expectations. Davidenko holds a Ph.D. in Psychology from Stanford University (2006), an M.S. in Statistics from Stanford (2004), and an A.B. in Mathematics from Harvard (1998). His research explores how humans perceive and interpret complex visual information, including studies on illusions, virtual reality, and misophonia. He has developed parametric models of faces to study memory encoding and drawing accuracy. Notable achievements include a Top-10 Finalist placement in the 2015 Best Illusion of the Year Contest for his 'Mind-controlled motion' research. He teaches courses such as PSYC 121 (Perception), PSYC 139K (Face Recognition), and advanced cognitive research seminars. Davidenko also runs the CSASS Matlab Workshops, training researchers in statistical tools. His lab includes graduate students and postdocs, with alumni like Jennifer Day (Ph.D. ’19) and Pat Samermit (Ph.D. ’18). Recent projects include investigations into vection in VR environments, cross-sensory modulation of aversive sounds, and time perception in virtual reality. His work bridges cognitive psychology, neuroscience, and computational modeling, contributing to understanding how perception shapes human interaction with the environment.

• Cognitive Psychology
• Perception
• Face Recognition
• +5 more

Mihir Gupta, MD, is an Assistant Professor of Neurosurgery at Yale School of Medicine. As a fellowship-trained spine surgeon with dual expertise in neurosurgery and orthopedics, he performs both traditional and minimally invasive procedures for complex spinal disorders including degenerative conditions, deformities, tumors, infections, and trauma-related issues. Dr. Gupta also specializes in revision spine surgeries for patients with persistent or new problems following previous operations. Dr. Gupta's educational background includes a BA from Harvard College, an MD from Stanford University School of Medicine, neurosurgical residency at the University of California San Diego, postdoctoral studies at Harvard Medical School, and an orthopedic spine surgery fellowship at Johns Hopkins University. His clinical philosophy emphasizes understanding each patient's unique story through thorough evaluation and physical examination before developing personalized treatment plans. His research interests focus on understanding how genetics contribute to different spinal disorders and how care can be personalized. Dr. Gupta's publications demonstrate expertise across multiple domains including brain tumor diagnostics (particularly CNS lymphoma and glioblastoma), spine surgery outcomes, gender diversity in academic medicine, and neuroimmunology. His work often bridges clinical practice with molecular diagnostics, emphasizing rapid testing methods that accelerate treatment decisions for brain tumor patients. Dr. Gupta collaborates extensively with multidisciplinary teams including physical therapists, pain management specialists, anesthesiologists, and interventional radiologists to develop comprehensive treatment approaches. He emphasizes that surgery is often the last resort, prioritizing nonsurgical options when appropriate. His clinical work at Yale Medicine focuses on highly personalized spine procedures using advanced robotics, navigation, and minimally invasive techniques to tailor solutions for individual patients.

• Spine Surgery
• Neurosurgery
• Orthopedics
• +4 more

Sunil K. Agrawal is a Professor of Mechanical Engineering and Professor of Rehabilitation and Regenerative Medicine at Columbia University, where he directs a highly interdisciplinary rehabilitation robotics program bridging the School of Engineering and Applied Sciences and the College of Physicians and Surgeons. His research focuses on developing robotic systems to restore and enhance human mobility for individuals with neurological disorders, pediatric conditions, and age-related decline. Education: PhD in Mechanical Engineering, Stanford University, 1990 MS in Mechanical Engineering, Ohio State University, 1986 BS in Mechanical Engineering, Indian Institute of Technology (IIT) Kanpur, 1984 Research Focus: Dr. Agrawal’s work centers on rehabilitation robotics , where he integrates dynamic systems, control theory, and optimization to create robotic devices that assist in gait training, balance improvement, and functional movement restoration. His studies span stroke, Parkinson’s disease, cerebral palsy, vestibular disorders, and spinal cord injury, using devices like the Tethered Pelvic Assist Device (TPAD) and robotic exoskeletons. Scientific Honors: Machine Design Award, ASME (2016) Robotics and Mechanisms Award, ASME (2016) Fellow, American Institute of Medical and Biological Engineering (AIMBE) (2016) Fellow, American Society of Mechanical Engineers (ASME) (2004) Alexander von Humboldt Foundation U.S. Senior Scientist Award (2007) Friedrich Wilhelm Bessel Research Award (2002) Presidential Faculty Fellow Award, The White House (1994) Research Collaborations & Funding: Dr. Agrawal collaborates with faculty across Neurology, Rehabilitation Medicine, Pediatric Orthopedics, Otolaryngology, Geriatrics, and Psychiatry. His work is supported by the National Science Foundation, National Institutes of Health, and the Spinal Cord Injury Research Board. Laboratory & Outreach: He leads an active research group focused on translational robotic systems, with ongoing clinical trials for stroke, Parkinson’s, cerebral palsy, and elderly fall prevention. His lab develops novel robotic braces, exoskeletons, and VR-integrated training platforms.

• Rehabilitation Robotics
• Dynamic Systems and Control
• Optimization
• +6 more

Andréanne Sharp, PhD, is Assistant Professor at Université Laval’s Faculty of Medicine, Department of Rehabilitation, where she leads the Clinical and Cognitive Neuroscience research axis. Her program explores auditory and multisensory processing across the lifespan, with emphasis on music perception, hearing loss, cochlear implants and vibrotactile technologies. Research interests: Auditory-vibrotactile interactions and sensory substitution Music cognition and neural plasticity in musicians Aging, hearing impairment and rehabilitation Temporal processing and EEG correlates of perception Clinical translation toward improved prosthetic and therapeutic devices Recent work (2023-2025) combines psychophysics, electrophysiology and qualitative methods to understand how musical experience protects perceptual skills in older adults with hearing loss, how frequency cues modulate auditory illusions, and how COVID-19 public-health measures affected communication in the hearing-impaired community. Sharp’s output appears in high-impact journals including Brain Research , Cerebral Cortex , Ear & Hearing , JSLHR and Psychological Research , demonstrating a trajectory that bridges basic cognitive neuroscience and clinical audiology. She maintains an active interdisciplinary laboratory, mentoring numerous graduate students and collaborating with engineering and rehabilitation teams to develop vibrotactile gloves and other sensory-augmentation devices. Grant and funding details are not disclosed in the supplied text.

• Clinical and Cognitive Neuroscience
• Auditory rehabilitation
• Music perception
• +5 more

Rob van Beers is an Assistant Professor at the Faculty of Behavioural and Movement Sciences at Vrije Universiteit Amsterdam, with affiliations to Neurocontrol, IBBA, and AMS - Sports. His research focuses on human motor control, spatial perception, and computational modeling using Bayesian approaches to understand sensory-motor integration under uncertainty. He holds ancillary roles as a Researcher at Radboud University (Nijmegen) since 2015 and serves on the Editorial Board of the Journal of Neurophysiology since 2015. His work contributes to UN Sustainable Development Goals related to health and well-being. Key research interests include motor learning dynamics, sensorimotor adaptation, and the neural basis of spatial orientation. Recent studies explore Alzheimer’s impacts on motor adaptation and Bayesian inference in vestibular path integration. Teaching responsibilities include courses on linear systems dynamics, physical measurement techniques, and motor systems regulation. His work spans 42 peer-reviewed articles, with datasets published on platforms like Dryad and Zenodo.

• Motor Control
• Motor Learning
• Spatial Perception
• +3 more

Robert S. Allison is a Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. His research focuses on human perceptual responses in virtual environments, stereoscopic vision, and eye movement analysis. He is affiliated with the York Centre for Vision Research, Sensorium (Digital Arts & Technology), and the Centre for Innovation in Computing at Lassonde. His research interests include depth perception in natural and virtual environments, human-computer interface design for VR, machine vision applications, and the measurement of human motion. He has supervised multiple graduate students and contributed to over 260 publications. His work spans topics like cybersickness mitigation, display lag effects, and perceptual adaptation in VR. Key grants include NSERC-funded projects on perception in virtual environments and collaborations with institutions like the Australian Research Council. His teaching includes courses on human perception in human-computer interaction and digital logic design. Recent articles highlight advancements in understanding motion perception, VR-induced sickness, and multisensory integration. He collaborates widely, with affiliations including the VISTA program and York's Connected Minds initiative.

• Virtual Reality
• Human-Computer Interaction
• Computer Vision
• +4 more

Jean Laurens is a Group Leader at the Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society in Frankfurt, Germany, where he heads the Laurens Lab. His research focuses on understanding how we sense our own motion and orient ourselves in three-dimensional space through neural mechanisms. His research interests include: Three-dimensional navigation and the neural basis of the 'brain compass' through head-direction cells in the limbic system Sensory signals for spatial navigation and how the brain integrates self-motion signals with visual landmarks Self-motion sensation and how the brain merges multiple sensory signals from the inner ear, vision, and proprioception with motor commands Laurens employs a multidisciplinary approach combining mathematical modeling and extracellular neuronal recordings in behaving Marmoset monkeys. His work spans computational neuroscience, systems neuroscience, and vestibular research, with significant contributions to understanding 3D orientation coding, gravity sensing in neural circuits, and spatial cognition. Recent publications demonstrate his focus on neural attractor networks, multisensory integration, and the representation of spatial orientation relative to gravity. His laboratory team includes researchers Francesca Lanzarini, Farzad Ziaie Nezhad, and Deepak Surendran, with Sogand Ghiasi managing laboratory operations. The Laurens Lab has been featured in media outlets including Süddeutsche Zeitung, with coverage of their work on balance mechanisms published in November 2020 and an article titled 'Du kannst mich Affe nennen' published on August 30, 2024.

• Neuroscience
• Spatial Navigation
• Vestibular Systems
• +5 more

Phil Pavilionis is an Associate Professor of Kinesiology in the School of Public Health at the University of Nevada, Reno. With over 20 years of clinical experience as a Certified Athletic Trainer (ATC) and Certified Strength and Conditioning Specialist (CSCS), he bridges academic research with practical applications in sports medicine. His roles include teaching undergraduate/graduate courses, conducting research in the Neuromechanics Laboratory, and serving as an adjunct clinical athletic trainer for Nevada Sports Medicine. Education: Ph.D. in Neuroscience, University of Nevada, Reno (2024) M.S. in Exercise Science, California University of Pennsylvania (2007) B.S. in Health Science, University of Nevada, Reno (1995) Dr. Pavilionis specializes in head injury prevention and virtual reality applications for concussion evaluation. His research leverages clinical experience to develop standardized assessment protocols, focusing on vestibular-ocular motor screening (VOMS) using virtual reality to reduce administrator variability. Key investigations include oculomotor deficits following concussion, head impact biomechanics in football using instrumented mouthguards, and minimal detectable change metrics for neurocognitive tests like ImPACT. His work integrates neuroscience, kinesiology, and engineering to improve concussion diagnosis and management. Analysis of his 45 publications (2022-2025) reveals three dominant trends: (1) Virtual reality standardization of concussion assessments, particularly VOMS protocols; (2) Head impact monitoring using instrumented mouthguards to evaluate protective equipment like Guardian Caps; and (3) Machine learning applications for objective concussion detection through eye-tracking and biomechanical data. These studies consistently address the critical need for objective, standardized tools to overcome subjective symptom reporting in sports concussion management. Dr. Pavilionis actively collaborates with the Neuromechanics Laboratory and Nevada Sports Medicine, translating research into clinical practice. While no specific grants are documented in the provided materials, his extensive publication record (including 15 articles in 2023 alone) demonstrates sustained research productivity and interdisciplinary collaboration across neuroscience, engineering, and sports medicine disciplines.

• Concussion Research
• Head Injury Prevention
• Virtual Reality Applications
• +3 more

Felix Schweizer is Professor of Neurobiology at the David Geffen School of Medicine, University of California, Los Angeles, and concurrently serves as Interim Director of the Brain Research Institute and Chair of the Graduate Interdepartmental Program for Neuroscience, reflecting his leadership in both research and graduate training. Education Ph.D. in Biochemistry (summa cum laude), University of Basel, 1989 Research Interests Schweizer’s laboratory focuses on the molecular mechanisms of synaptic transmission and neuronal communication. Using electrophysiology, optical imaging, and quantitative proteomics, his group investigates how protein ubiquitination dynamically regulates neurotransmitter release and neuronal excitability. Recent projects explore microbial metabolite sensing by vagal afferents, the synaptic impact of environmental toxicants linked to Parkinson’s disease, and how gravitational load alters vestibular synaptic architecture. Collaborations with Drs. James Wohlschlegel (multiplexed SILAC proteomics), David Krantz (pesticide neurotoxicology), and Larry Hoffman (vestibular biology in altered gravity) extend the lab’s reach from molecular mechanisms to systems-level neuroscience. Scientific Awards No specific awards are listed in the provided text. Advising & Grants As Chair of the Graduate Interdepartmental Program for Neuroscience, Schweizer oversees interdisciplinary Ph.D. training across UCLA. The laboratory continuously hosts post-doctoral fellows and graduate students, and recent funding supports work on ubiquitin-mediated synaptic modulation, pesticide-induced neurodegeneration, and spaceflight-induced synaptic plasticity in the vestibular system. Labs & Teams The Schweizer laboratory, located in the Center for Health Sciences at UCLA, integrates electrophysiology, advanced imaging (serial EM and EM tomography), and biochemical approaches to dissect synaptic function across rodent, Drosophila, and human tissue models.

• Neurobiology
• Synaptic transmission
• Neurotransmitter release
• +5 more

Dr. Lin Su is a Lecturer in Engineering Biology at Queen Mary University of London, leading the Biohybrids group. His research focuses on biohybrid systems in synthetic biology, particularly electron transfer mechanisms between microorganisms and materials, with applications in bioelectrical systems and artificial photosynthesis. Dr. Su holds a PhD in Biomedical Engineering from Southeast University (2021), with postdoctoral research at the University of Cambridge (2021–present). His work includes collaborations with Lawrence Berkeley National Lab and Rice University (2016–2021). He is a Leverhulme Early Career Fellow (2022–2025) and an Isaac Newton Trust Grant recipient. He also serves as a Fellow at Lucy Cavendish College, Cambridge. Research interests span synthetic biology, microbial-material interfaces, and energy-related bioengineering. His lab develops novel platforms integrating living and non-living components for sustainable technologies. Awards: Leverhulme Early Career Fellowship Isaac Newton Trust Grant Fellow of Lucy Cavendish College Grants: Collaborative funding via Leverhulme Trust and Isaac Newton Trust. Labs/Teams: Director of the Biohybrids Group (https://biohybrids.group/), focusing on interdisciplinary engineering-biology research.

• Synthetic Biology
• Engineering Biology
• Biohybrid Systems
• +3 more

Allon Guez is a Professor in the Department of Electrical and Computer Engineering at Drexel University. His research focuses on control systems, robotics, artificial intelligence, medical robotics, and automated decision making. He actively bridges academia and industry through high-tech entrepreneurship. Education PhD in Electrical Engineering, University of Florida MS in Electrical Engineering, University of Florida MBA in Finance, Drexel University BS in Electrical Engineering, Technion - Israel Institute of Technology His research portfolio spans medical robotics, automated decision making systems, and advanced control algorithms. Key areas include wearable safety devices, radiation control in imaging systems, and closed-loop brain stimulation technologies. Notable contributions include founding ControlRad (radiation reduction systems) and GraceFall (fall detection technology). His work demonstrates a strong emphasis on translating academic research into commercial medical devices. Recent publications highlight innovations in: Fetal brainwave monitoring Postural disturbance detection Seizure prediction algorithms Magnetic microrobotics Dynamic CT collimation Cardiac tissue modeling

• Control Systems
• Robotics
• Artificial Intelligence
• +7 more

Michael L. Madigan is a Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech. His research focuses on human factors engineering, biomechanics, and ergonomics, particularly addressing issues related to slips, trips, falls, and musculoskeletal disorders. He leads the Madigan Biomechanics Group, which investigates the biomechanics of human motion and neuromuscular control to enhance occupational safety and elderly health. Education: Ph.D., Biomedical Engineering, Virginia Commonwealth University, 2001 M.S., Bioengineering, Texas A&M University, 1996 B.S., Bioengineering, Texas A&M University, 1994 Research Interests: Obesity’s impact on mobility, aging-related biomechanics, workplace ergonomics, and biomechanical interventions for fall prevention. His work combines experimental and computational methods to develop preventive measures like exercise interventions and ergonomic designs. Professional Roles: Editor-in-Chief, Journal of Applied Biomechanics (2017–present) Formerly Editor, Medicine and Science in Sports and Exercise (2013–2017) Secretary, American Society of Biomechanics (2009–2012) Awards: Kevin P. Granata Faculty Fellow (2013–2014) Virginia Tech College of Engineering Certificate of Teaching Excellence (2014) Finalist for International Society of Biomechanics Clinical Award (2005) Advising & Grants: Advised over 20 doctoral and undergraduate students since 2007. His grants support studies on obesity-related falls, exoskeleton design, and biomechanical modeling. Collaborates with the Virginia Tech-Wake Forest School of Biomedical Engineering and Sciences. Labs/Teams: Director of the Madigan Biomechanics Group and core member of the Occupational Ergonomics and Biomechanics Laboratories. Active in developing smart prosthetics and wearable technologies for injury prevention.

• Human Factors Engineering
• Ergonomics
• Occupational Biomechanics
• +6 more

Dr. Alexander Breuss is part of the Sensory-Motor Systems Professorship at ETH Zürich, focusing on developing innovative robotic and sensor technologies for medical applications, particularly in sleep disorder treatment and home healthcare. His work integrates biomedical engineering, robotics, and machine learning to address challenges in sleep medicine and cardiovascular diagnostics. Key projects include the Somnomat Care robotic bed for vestibular stimulation and the Somnomat Casa system for nocturnal interventions. His research spans sensorized devices for sleep monitoring, clinical trials for rhythmic movement disorders, and cardiovascular disease prognosis using imaging and hemodynamic analysis. Dr. Breuss collaborates on interdisciplinary projects, combining engineering and clinical insights to advance healthcare technologies. His research interests include the design of medical devices for home environments, non-invasive monitoring systems, and closed-loop robotic systems for therapeutic applications. Notable contributions include lightweight wearable sensors for movement disorders and automated sleep position classification using neural networks. He has published extensively on topics such as pleural effusion in aortic stenosis and ECG-based cardiac prognosis, highlighting his cross-disciplinary approach to biomedical challenges. No scientific awards are explicitly mentioned for Dr. Breuss. His work is centered at the Sensory-Motor Systems Lab, where he contributes to advancing technologies that improve patient care and sleep quality through robotics and sensor innovation.

• Biomedical Engineering
• Robotics in Healthcare
• Sleep Disorders
• +3 more