Find Academic Supervisors

• Cognitive Neuroscience
• Psychophysiology
• Cerebral Electrophysiology
• +3 more

Francesco Russo is a Full Professor in the Department of Human Motor Sciences and Health at the University of Rome 'Foro Italico'. His research focuses on cognitive neuroscience, psychophysiology, and cerebral electrophysiology, particularly exploring neural mechanisms underlying cognitive processes and brain plasticity induced by motor activity and sport. He leads the Laboratory of Cognitive and Action Neuroscience and contributes to the University Quality Committee. His research interests include the neural basis of action anticipation, sensory-motor integration, and the effects of cognitive-motor training on brain function. Notable projects include studies on anxiety reduction through dual-task exercises and the electrophysiological correlates of decision-making in athletes. Key Research Themes: Anticipatory brain activity, motor-cognitive interactions, neuroplasticity in sport Lab Affiliation: Laboratory of Cognitive and Action Neuroscience Recent Focus: ERP analysis of sensory-motor tasks, aging-related cognitive interventions His work spans experimental psychology, clinical neuroscience, and sports science, with publications analyzing brain dynamics in athletes, aging populations, and neurological patients. Current trends emphasize translational research bridging neural mechanisms and practical applications in rehabilitation and sports performance.

Trevor DarrellView profile

Professor

• Artificial Intelligence
• Computer Vision
• Machine Learning
• +3 more

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.

Maria MAKAROVView profile

Associate Professor

• Robotics
• Control Systems
• Human-Machine Interaction
• +5 more

Maria MAKAROV is an Associate Professor at CentraleSupélec, affiliated with the Control Department at L2S (Laboratoire des signaux et systèmes), part of Université Paris-Saclay. Her research focuses on robust control methods for interactive robotic systems, human motor control modeling, and bio-inspired control strategies. She holds a PhD in Automatic Control from SUPELEC and a Master's in Electrical Engineering from KTH Royal Institute of Technology. Research Interests: Robust control of uncertain robotic systems Human-robot interaction and safety Dynamic stability and impedance estimation in human motion Bio-inspired control for humanoid robotics Key Projects: Ongoing work includes the ANR HERMIN project and contributions to the SYCOMORE research team. Her recent publications explore human arm impedance dynamics, octorotor state estimation, and collaborative robotics evaluation.

Davy LarocheView profile

Professor

• Rehabilitation Sciences
• Neuromuscular Protocols
• Biomechanics
• +4 more

Davy Laroche is a Full Professor of Rehabilitation Science at the University of Burgundy, France. He serves as Director of the Department of Rehabilitation Professions within the Health Sciences Faculty (UFR Sciences de Santé). His expertise lies in developing innovative neuromuscular and biomechanical protocols to optimize motor function recovery in patients undergoing rehabilitation. Key roles include Vice-President of the STARTER research network focused on AI-driven motor rehabilitation strategies. Education: Masters in Biomechanics (2003), PhD in Neuroscience (2006), and HDR (Habilitation) in Rehabilitation Science (2019) from the University of Burgundy's INSERM CAPS lab. Research focuses on: Physiology of Movement, Biomechanical Optimization, Neurorehabilitation Technologies, and Sensorimotor Deficiencies. Over 80 peer-reviewed publications since 2003, with recent emphasis on eccentric cycling protocols in cardiac patients, gait analysis post-surgery, and post-stroke vibration therapy. Notable contributions include developing the Frail’BESTest balance assessment tool and pioneering IMU insole technology for gait analysis. Active in collaborative projects involving 3D motion datasets and clinical trial protocols for functional recovery metrics.

Veit StuphornView profile

Associate Professor

• Systems Neuroscience
• Cognitive Neuroscience
• Computational Neuroscience
• +12 more

Veit Stuphorn is an Associate Professor of Neuroscience at The Johns Hopkins University, affiliated with the Zanvyl Krieger Mind/Brain Institute and the Department of Psychological and Brain Sciences. His research bridges systems, cognitive, and computational neuroscience, focusing on the neural basis of decision-making and self-control. His research interests lie in understanding the neurophysiological mechanisms of higher executive functions, particularly decision-making and self-control. Using neurophysiological recordings in awake primates during cognitive tasks such as the countermanding paradigm, he investigates how neurons in the frontal cortex—specifically the frontal eye field (FEF), supplementary eye field (SEF), and anterior cingulate cortex (ACC)—encode signals related to action initiation, suppression, error detection, and reward evaluation. He also extends these studies to human subjects using fMRI, enabling cross-species comparisons. His work suggests that medial frontal areas like ACC and SEF form a secondary executive control system that monitors performance and adjusts behavior based on outcomes. The 15 most recent publications reflect a consistent focus on executive control, inhibitory processing, and neural correlates of decision-making. These works span primate neurophysiology, human behavioral neuroscience, and theoretical neuroeconomics, with recurring themes in performance monitoring, error signaling, and the role of frontal-basal ganglia networks in cognitive control. Key techniques include single-neuron recording, local field potential analysis, and fMRI, applied across species to validate findings. Dr. Stuphorn has not been mentioned with any scientific awards in the provided text. He advises graduate students through the Neuroscience Training Program and Psychological and Brain Sciences at Johns Hopkins. While specific grants are not listed, his research is supported by long-term investigations into executive function, suggesting sustained funding. His lab conducts parallel animal and human studies, indicating interdisciplinary collaboration and resource investment. His lab is based at the Zanvyl Krieger Mind/Brain Institute at Johns Hopkins, where he leads a research team focused on neural circuits underlying decision-making and self-control. The lab combines electrophysiological recordings in primates with human neuroimaging to explore executive functions across species.

Cynthia MossView profile

Professor

• Systems Neuroscience
• Cognitive Neuroscience
• Computational Neuroscience
• +14 more

Cynthia Moss is a Professor of Psychological and Brain Sciences at The Johns Hopkins University, where she leads a research laboratory focused on systems, cognitive, and computational neuroscience. Her work is affiliated with the Neuroscience Training Program and the Psychological & Brain Sciences graduate program. She conducts pioneering research on echolocating bats to understand spatial perception, attention, and memory in natural behaviors. Research Interests: Dr. Moss investigates how the brain integrates sensory input with motor output during complex behaviors such as flight and navigation. Her primary model system is the echolocating big brown bat, which uses biological sonar to navigate and hunt. She studies neural mechanisms in key brain regions including the hippocampus, midbrain superior colliculus, and somatosensory cortex. Her research spans spatial perception , attention , memory formation , sensorimotor integration , and tactile feedback in flight control . She employs wireless neural recordings from free-flying bats to study brain activity during natural behaviors, offering insights into 3D spatial representation and adaptive sensing. Publication Trends: Her recent publications (2021–2024) reflect a strong focus on neural coding of 3D space, multisensory integration (especially tactile and visual cues in echolocation), adaptive vocal behavior, and social communication in bats. Her work increasingly bridges neuroscience with bio-inspired engineering, as seen in studies on wing mechanoreception and computational models of auditory processing. Collaborations with institutions like Columbia University expand the scope of her tactile sensing research. Scientific Contributions: Although specific awards are not listed in the provided text, her consistent publication record in high-impact journals such as Nature Neuroscience , PNAS , Current Biology , and eLife underscores her leadership in neuroethology and systems neuroscience. Advising and Grants: Dr. Moss mentors graduate students through the Neuroscience and Psychological & Brain Sciences programs at Johns Hopkins. While specific grant details are not mentioned, her extensive research output and long-term program suggest sustained funding from federal and private sources. She has trained numerous researchers and published over two decades of influential work on bat biosonar and brain function. Labs and Teams: The Moss Lab at Johns Hopkins uses advanced techniques including multi-channel wireless neural recording, high-speed motion tracking, and acoustic monitoring to study freely behaving bats. The lab collaborates with experts in biophysics, engineering, and sensory neuroscience, forming interdisciplinary teams to explore active sensing and neural dynamics in natural contexts.

Gunnar SchmidtmannView profile

Associate Professor

• Visual Neuroscience
• Shape Perception
• Object Recognition
• +19 more

Gunnar Schmidtmann is an Associate Professor of Optometry and Vision Science at the School of Health Professions, University of Plymouth, where he has been employed since 2017, first as a Lecturer and promoted to Associate Professor in 2021. He holds a PhD in Vision Science from Glasgow Caledonian University and completed postdoctoral research at McGill University in Montreal, Canada. He is actively involved in teaching, research, and supervision, with a focus on visual perception and clinical vision science. Education: PhD in Vision Science, Glasgow Caledonian University, UK (2008–2013) BSc in Optometry, University of Applied Sciences, Lübeck, Germany (2005–2008) Medical School, University of Lübeck, Germany (2001–2005) Research Interests: His research spans visual neuroscience, shape perception, object recognition, visual psychophysics, and face perception. He investigates contour and curvature encoding, spatial and probability summation, peripheral vision, visual illusions, and the visual functions of patients with traumatic brain injury, stroke, and glaucoma. His work combines computational modeling with experimental psychophysics. Publication Trends: His recent articles (2023–2025) focus on sensorimotor aging, tablet-based vision testing, letter identification biases, and visual illusions such as the 'Pint Glass Illusion'. These reflect a strong trend toward developing accessible, quantitative tools for clinical and research use, while maintaining a deep theoretical interest in visual perception mechanisms. Scientific Engagement: Active member and elected committee member of the Applied Vision Association (AVA) Principal contributor to the McGill Face Database for complex mental state recognition Regular presenter at AVA and ECVP conferences Supervision and Grants: He supervises PhD students and is a Co-Investigator on an active NHS-funded project Portable Low-Cost Haptic Interfaces for Motor Injury Assessment (2025–2026). His teaching includes module leadership in Visual Perception, Human Anatomy, and Applied Quantitative Research Methods at both undergraduate and postgraduate levels. Labs and Teams: He leads research within the Eye and Vision Research Group at the University of Plymouth and collaborates with the Centre for Cognitive Neuroscience at Brunel University London. His lab focuses on psychophysical experiments and computational modeling of visual perception.

Junchul KimView profile

Associate Professor

• Behavioural Neuroscience
• Cognitive Neuroscience
• Neural Circuits
• +3 more

Junchul Kim is an Associate Professor at the University of Toronto with primary appointment in the Psychology Department and cross-appointment in Cell and Systems Biology. His research focuses on elucidating hippocampal circuits and GABA interneuron functions in anxiety, stress, and memory processes using optogenetic and chemogenetic approaches. PhD in Molecular Biology and Biochemistry, Simon Fraser University (2005) Postdoctoral Research Fellow, Harvard Medical School (2005-2010) Kim's laboratory investigates two major areas: (1) Functional specialization of hippocampal pathways in emotional and cognitive control, and (2) Distinct roles of PV- and CCK-GABA interneuron subtypes in neural oscillations and behavioral modulation. His work has produced significant insights into hippocampal-prefrontal connectivity and anxiety-related circuitry. Key methodological contributions include developing recombinase-based genetic tools for noninvasive neuron labeling and silencing. Current research explores how specific neural circuits coordinate defensive responses and maintain memory stability across behavioral contexts. The Kim Lab actively trains graduate students in neuroscience research and offers opportunities for postdoctoral fellows. Current students include Cindy Hong, Kendall Mar, Andrew Cheon, Ruth Tran, Stephanie Shishis, and Charlotte Romain, while lab alumni feature notable researchers like Afif Aqrabawi and Paul Whissell.

• Neuroscience
• Neuroengineering
• Computational Biology
• +3 more

Pavan P Ramdya is an Associate Professor at EPFL's School of Life Sciences, affiliated with the Brain Mind Institute and Institute of Bioengineering. He leads the Ramdya Lab, focusing on reverse-engineering Drosophila neural systems to uncover principles of biological intelligence and inform AI/robotics. His interdisciplinary approach combines genetics, computational modeling, and neuroimaging. Education: PhD in Neurobiology from Harvard University (2009) Research spans neuroengineering , motor control , and collective behavior . Key contributions include creating NeuroMechFly (neuromechanical model of Drosophila ), mapping descending/ascending neuron networks , and developing DeepFly3D , LiftPose3D software for behavioral analysis. His work reveals how neural populations in the brain and ventral nerve cord coordinate locomotion and social behaviors. Recent publications focus on hierarchical sensorimotor control (Nature Methods 2024), neural substrates of sociability (bioRxiv 2024), and 3D pose estimation algorithms. The lab secures major grants including Kavli Exploration Awards , SNSF Eccellenza Grants , and HFSP Fellowships . Scientific Awards: Kavli Fellowship, SNSF Eccellenza Grant, HFSP Career Development Award, Wellcome Trust Fellowship, UNIL Young Investigator Award As a PhD program committee member for EDBB and EDNE , he mentors students in computational neuroscience and neuroengineering. His team has trained multiple PhD candidates including Victor Lobato-Rios and Pembe Gizem Ozdil.

Li-Ann LeowView profile

Research Fellow

• Motor Learning
• Sensorimotor Adaptation
• Neuroscience
• +12 more

Dr. Li-Ann Leow is a Research Fellow at the Centre for Sensorimotor Performance , affiliated with the School of Psychology in the Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland . She holds a PhD in Motor Learning and Parkinson's Disease from the University of Western Australia, and has held postdoctoral positions at the Brain and Mind Institute (Western University) and the University of Queensland. Research Interests : Mechanisms of sensorimotor adaptation Dopamine's role in motor learning Neurostimulation techniques (tDCS) Rhythm perception and movement disorders Implicit vs explicit learning processes Motor rehabilitation in stroke and Parkinson's Article Trends show focus on neural plasticity , auditory-motor integration , and dopaminergic modulation of motor skills. Her 2025 works highlight error-driven memory consolidation and auditory cueing effects . She explores how brain stimulation reliability affects procedural learning and decision-making in both healthy and clinical populations. Scientific Awards : Honorary Fellow, School of Psychology, University of Queensland Advisory Activities : Available for supervision in motor learning and reward-based movement research Completed supervision of projects on stroke rehabilitation and implicit motor learning

Jimmy DooleyView profile

Assistant Professor

• Developmental Neurobiology
• Sensorimotor Development
• REM Sleep Mechanisms
• +3 more

Jimmy Dooley is an Assistant Professor in Biological Sciences at Purdue University, associated with the College of Science. He leads the Sensorimotor Development Lab focusing on how sleep-related movements drive neural activity critical for sensorimotor development. His research combines multichannel neurophysiology, optogenetics, and computational methods to study infant rats. Education: A.B. in Biology/Psychology from University of Chicago (2009); Ph.D. in Neuroscience from UC Davis (2015); Postdoc at University of Iowa (2016-2022). Research interests center on REM sleep twitches' role in motor cortex development and sensorimotor integration. His work challenges assumptions that awake-state movements are solely responsible for development, instead highlighting sleep's critical role. Recent studies explore how REM sleep twitches synchronize neural activity across brain regions during early development. Publications span sleep physiology, motor neuron activity, and developmental neuroscience. Current projects investigate REM sleep's role in cortical motor control emergence and lifelong motor learning through twitches. His lab employs advanced techniques like computer vision and machine learning for behavioral analysis. No scientific awards are listed but focuses on grants related to NIH developmental neuroscience funding. Lab location: Lilly 2-234, West Lafayette, IN.

Scott PlutaView profile

Assistant Professor

• Neuroscience
• Sensory Perception
• Sensorimotor Integration
• +3 more

Scott Pluta is an Assistant Professor in the Department of Biological Sciences at Purdue University, affiliated with the College of Science. His research focuses on understanding the neural mechanisms underlying sensory perception, sensory-guided behavior, and sensorimotor loops. He employs advanced techniques such as optogenetics, viral tracing, and behavioral analysis to study neural circuits in rodents, particularly focusing on the midbrain superior colliculus (SC) and cortical networks. Education and Experience: Pluta earned his Ph.D. from the University of Virginia in 2009. He completed postdoctoral research at the University of California, Berkeley (2012–2017) and Wake Forest Medical Center (2009–2012). His lab, the Laboratory for Sensorimotor Integration, investigates how descending cortical inputs influence the SC's activity and behavior, aiming to reveal principles of neural circuit function with implications for neurological disorders like ADHD and Parkinson's disease. Research Interests: Central to his work is the study of how the SC integrates sensory, motor, and motivational signals to form a 'priority map' for spatial attention. Projects include dissecting cortico-collicular circuits using genetic labeling and optogenetic manipulation, and analyzing ascending SC-thalamic-cortical pathways to understand sensorimotor loop dynamics. His lab uses rodent whisker systems as a model for active touch and spatial navigation. Lab and Collaborations: The lab combines optogenetics, neurophysiology, and behavioral tracking to study dynamic interactions between cortical and midbrain networks. Research outcomes aim to provide foundational insights for developing treatments for neurological conditions.

Mitra HartmannView profile

Professor

• Sensorimotor Integration
• Biomechanics
• Robotics
• +4 more

Mitra Hartmann is a **Professor of Biomedical Engineering**, **Mechanical Engineering**, and holds a **courtesy appointment in Computer Science** at Northwestern University's McCormick School of Engineering. She leads the **Hartmann Lab** and the **Center for Robotics and Biosystems**, focusing on sensorimotor integration, robotics, and neuroethology. Her research bridges biomechanics, neuroscience, and robotics, with applications in tactile sensing and neuroprosthetics. **Education**: PhD in Integrative Neuroscience (Caltech, 1996–2000), BS in Applied and Engineering Physics (Cornell, 1990–1994). Postdoctoral training at Caltech (Computational Neurobiology) and JPL (Bio-Computing). **Research**: Her lab studies how animals (e.g., rats) use whiskers to actively sense their environment. Key areas include vibrissal mechanics, neural coding of tactile stimuli, and developing whisker-inspired robots for harsh environments. She emphasizes interdisciplinary approaches, combining experiments, modeling, and robotics. **Awards**: Multiple McCormick Teaching Awards (2009–2011), NSF CAREER (2008), NAE Frontiers of Engineering (2008), and Searle Junior Fellowship (2006–2007). **Teaching**: Undergraduate courses in fluid mechanics (ME 241/BME 270) and a graduate course on neural engineering and sensory acquisition (BME 462). Known for integrating hands-on robotics projects. **Lab Activities**: The lab collaborates on open-source tool development for neuroscience and robotics. Current projects include tactile scene reconstruction, whisker-based flow sensing, and prosthetic devices inspired by biological systems.

Daniel FerrisView profile

Professor

• Biomechanics
• Neural Control
• Locomotion
• +3 more

Dr. Daniel Ferris is a Robert W. Adenbaum Professor of Engineering Innovation in the J. Crayton Pruitt Family Department of Biomedical Engineering at the University of Florida , within the Herbert Wertheim College of Engineering. His research focuses on biomechanics, neural control of locomotion, and human-machine interactions through robotics and prosthetics. Education: Ph.D., University of California, Berkeley (1998) M.S., University of Miami (1994) B.S., University of Central Florida (1992) Research Interests: Dr. Ferris pioneers mobile brain imaging (EEG) during movement, develops robotic exoskeletons/prosthetics to enhance walking efficiency, and investigates how humans adapt to mechanical and neural perturbations. His lab has created robotic ankle/knee/hip exoskeletons and bionic prostheses under myoelectric control. Recent work includes studying gait adaptations in older adults and analyzing cortical dynamics during locomotion. Awards: 2024 UF BME Faculty Research Excellence Award 2024 AAAS Fellow 2023 ASB Fellow 2018 Founders’ Award (ASB) Lab: Human Neuromechanics Laboratory focuses on translating neurotechnology into clinical applications. Key projects include artifact-free mobile EEG during walking and optimizing prosthetic control systems.

Olivier LambercyView profile

Lecturer

• Rehabilitation Engineering
• Neurorehabilitation
• Robotics
• +8 more

Prof. Olivier Lambercy is a Lecturer at the Department of Health Sciences and Technology at ETH Zurich. He leads the Rehabilitation Engineering Laboratory, focusing on advancing technologies for neurorehabilitation, including robotics, wearable sensors, and AI-driven solutions. His work bridges engineering and clinical practice to improve sensorimotor recovery. He serves as a tutor for the MSc in Health Sciences and Technology, specializing in Medical Technology, Human Movement Science, Neurosciences, and Rehabilitation. Research interests include rehabilitation engineering, motor learning, and assistive technologies. His lab develops devices like exoskeletons and biofeedback systems, emphasizing interdisciplinary collaboration with clinicians and industry. Courses he supports include Rehabilitation Engineering, Biomechanics, and Digital Health. No scientific awards are explicitly listed, but his contributions to peer-reviewed articles and lab initiatives highlight his impact. He advises on student projects and collaborates on grants related to stroke rehabilitation, robotics, and wearable tech. The Rehabilitation Engineering Lab hosts ongoing projects and student collaborations, emphasizing translational research.