Find Academic Supervisors

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.

Hagar GoldbergView profile

Lecturer

• Behavioural Neuroscience
• Educational Neuroscience
• Social-Emotional Processes
• +4 more

Hagar Goldberg is a Sessional Instructor at the Department of Psychology , Faculty of Arts , University of British Columbia . Her work bridges Behavioural Neuroscience and Educational Neuroscience , focusing on social-emotional processes and their impact on brain development, wellbeing, and learning. Education: Ph.D. in Social Affective Neuroscience, Weizmann Institute of Science (2016) Master's of Science, Weizmann Institute of Science (2011) Bachelor of Science, Hebrew University of Jerusalem (2007) Her research explores how social-emotional neuroscience can enhance neuroplasticity and educational outcomes. She translates neuroscience findings into practical teaching methods, emphasizing empathy , creativity , and human social-emotional perception . Recent publications highlight interdisciplinary collaborations on empathy assessment , adolescent brain development , and neural correlates of creative processes . Goldberg has taught courses such as PSYC 101 (Introduction to Biological Psychology) and PSYC 207 (Contemporary Topics in Biological Psychology), often integrating educational neuroscience frameworks. While no scientific awards or student advising details are listed, her work reflects a commitment to cross-disciplinary collaboration with scientists, artists, and educators.

Kevin JarboView profile

Assistant Professor

• Decision-Making
• Social Psychology
• Cognitive Neuroscience
• +3 more

Kevin Jarbo is an Assistant Professor in the Department of Social and Decision Sciences at Carnegie Mellon University (CMU), part of the Dietrich College of Humanities and Social Sciences. His academic background includes a Ph.D. in Psychology from CMU (2018) with a focus on decision-making and neuroimaging. He also holds a Master of Science in Psychology from CMU (2015) and a Bachelor of Science in Biological Sciences from the University of Pittsburgh (2006). Research interests center on how stereotype threat influences student decisions in academic settings, particularly related to race and gender identity. His work integrates cognitive neuroscience methods, including fMRI and diffusion MRI, to study decision-making processes and neural circuitry. Jarbo also leads initiatives in diversity, equity, and inclusion (DEI) at CMU, advising student organizations and implementing programs addressing racial equity and masculine gender identity development. He has secured grants from the Russell Sage Foundation, Templeton Foundation, and American Psychological Foundation, focusing on topics like stereotype threat, moral framing in decisions, and racial equity in STEM education. Notable publications include studies on corticostriatal mechanisms in decision-making and the application of high-definition fiber tracking in neurosurgery. Grants & Awards: President’s Postdoctoral Fellowship (2018–2021), McClelland Prize (2015), Kavli Summer Institute Fellow (2016). Service: DEI committee member at Dietrich College, faculty advisor for student groups, and organizer of the Black Futures Summit. Teaching: Courses on behavioral decision-making and grand challenge seminars on race and identity in America.

Nadia DominiciView profile

Associate Professor

• Neural Control of Human Locomotion
• Motor Control
• Biomechanics
• +9 more

Dr. Nadia Dominici is an Associate Professor at the Department of Human Movement Sciences in the Faculty of Behavioural and Movement Sciences at Vrije Universiteit Amsterdam. She has additional affiliations with IBBA and AMS - Rehabilitation & Development. Her research focuses on neural control mechanisms of human and animal locomotion, motor development, and neurorehabilitation. She holds a Ph.D. in Neuroscience from the University of Rome 'Tor Vergata' (2006) and a Physics degree from the University of Rome 'La Sapienza' (2001). Dominici has received prestigious grants including the ERC Starting Grant (2016), NWO Aspasia Grant (2015), and NWO Vidi Grant (2015). She was awarded the Suzanne Klein-Vogelbach Prize (2013) and the IgNobel Prize in Physics (2013) for her work on lunar running feasibility. She also serves as an Associate Editor for Frontiers in Human Neuroscience since 2014. Her research interests encompass advanced statistical analysis of motor patterns, neural control of human locomotion, motor development in children and adults, proprioceptive control mechanisms, gravitational physiology, and experimental neurorehabilitation in animal models. She investigates biomechanical adaptations during walking and running, particularly in populations with cerebral palsy, spinal cord injury, and aging. Dominici's work bridges neuroscience, biomechanics, and robotics to understand how neural systems coordinate complex movements and adapt to environmental challenges. She has pioneered markerless gait analysis techniques and explored the neural origins of locomotor primitives in toddlers and adults. Her research projects include the ERC-funded Learn2Walk (2017–2022), which examines neural-spinal interactions in toddler gait development, and the NWO-backed FirSteps (2015–2021), investigating walking emergence in children. She also leads the Transformative Appropriation for a Meaningful Understanding of Cultural Heritage project (2024–2027). Dominici's work contributes to UN Sustainable Development Goals related to good health and well-being through innovations in neurorehabilitation and motor control understanding.

• Motor Control
• Multisensory Integration
• Neuromechanics
• +3 more

Gerome Manson is an Assistant Professor in the School of Kinesiology and Health Studies at Queen’s University. His research focuses on understanding how sensory information influences motor control and multisensory integration during goal-directed actions. He holds a PhD from the University of Toronto and l’Université d’Aix Marseille, alongside degrees in MSc and BPHE from the University of Toronto. Research Themes: 1) Sensory influence on somatosensory target mapping, 2) Neural networks in rapid motor control, 3) Multisensory perception during movement execution. His work combines motion tracking, neuroimaging, and sensory manipulation to explore sensorimotor processes. Teaching: Undergraduate courses include KNPE 237 (Child & Adolescent Motor Development) and KNPE 254 (Biomechanical Analysis of Human Movement). He mentors students through his Sensorimotor Exploration Lab, offering volunteer and graduate research opportunities in motor learning and neuromechanics. Publications span topics like spinal stimulation effects, age-related sensorimotor differences, and motor strategy adaptations. His lab emphasizes interdisciplinary approaches to advancing understanding of human movement control.

Steven BuddleView profile

Lecturer

• Anatomy Education
• Medical Education Innovation
• Cadaveric Dissection Techniques
• +3 more

Steven Buddle is a Lecturer in Anatomy at Keele University's School of Medicine since 2016. He holds a BSc in Biomedical Science from the University of Sheffield, an MSc in Human Anatomy (distinction) from the University of Edinburgh, and an MA in Teaching and Learning in Higher Education from Keele University. His research focuses on innovative anatomy education methods, including freeze-thaw brain dissection techniques and time-lapse/video documentation of cadaveric dissections. He teaches anatomy, neuroanatomy, embryology, and histology to medical and healthcare students, and co-leads Unit 14 MBChB: Sensorimotor Systems as a problem-based learning tutor. Dr. Buddle’s work emphasizes practical pedagogy, blending traditional anatomical study with modern visualization technologies. No specific grants or awards are listed in his profile, though his contributions to medical education are highlighted through his scholarship and teaching roles. He is based at the David Weatherall Building in Keele, Staffordshire.

Val AndradeView profile

Assistant Professor

• Motor Control
• Motor Learning
• Disability
• +2 more

Val Andrade is an Assistant Professor in the Department of Psychology at the University of Cincinnati. She holds a Ph.D. in Experimental Psychology from the University of Cincinnati (2024), an M.Sc. in Rehabilitation Science from Universidade Federal de Minas Gerais (2019), and a Physical Therapy degree from the same institution (2017). Her research examines motor control, rehabilitation, and disability through ecological psychology frameworks. Andrade has received numerous awards including the Wearable Robotics Innovation Challenge finalist designation (2022) and University of Cincinnati's Outstanding International Student Award (2022). She teaches courses including Introduction to Psychology, Research Methods, and Sensation & Perception. Her publications focus on motor coordination across diverse populations, with recent work exploring postural dynamics, force production, and disability models. Research employs biomechanical analysis and ecological approaches to understand movement challenges.

Evrim Selin AltinkaynakView profile

Lecturer

• Robot Modeling and Control
• Machine Learning
• Collaborative Learning in STEM Education

Dr. Evrim Selin Altinkaynak is a Lecturer in the Department of General Engineering at Clemson University. She holds a Ph.D. in Engineering Product Development from the Singapore University of Technology and Design (2019) and a B.S. in Electrical and Electronics Engineering from the Izmir Institute of Technology (2015). Her research focuses on Robot Modeling and Control, Machine Learning, and Collaborative Learning in STEM Education. Her work bridges biomechanics and robotics, with notable contributions to human walking dynamics and control systems. Publications include studies on multivariable controllers for joint torques and phase-invariant gait models. Altinkaynak has received the TEV-SINGA Scholarship and Dean’s List recognition. She teaches courses such as Engineering Disciplines and Skills, Programming and Problem Solving, and Engineering Graphics and Machine Design. Professional experience includes roles as Research Manager at iWALKFree and internships at Aselsan and Vestel. Her hobbies include hiking with her Aussiedoodle and traveling.

Morgan DiederichView profile

Lecturer

• Educational Data Mining
• Machine Learning Applications in Education
• Data Visualization
• +1 more

Morgan Diederich is a Lecturer in the Department of Data Analytics and Information Systems at Utah State University. She holds an MMIS in Management Information Systems from Utah State University (2019) and a BS in Statistics from Eastern Kentucky University (2017). Currently, she is a doctoral candidate in Instructional Technology and Learning Sciences. Her research focuses on applying machine learning and data visualization techniques to enhance educational decision-making and understand learner behavior. She develops innovative approaches to improve data literacy across diverse age groups, including co-creating elementary school curricula and teaching university-level data visualization courses. Morgan's scholarly work demonstrates a consistent focus on educational technology, data literacy, and machine learning applications in education. Her recent publications explore generative AI for data conversations, TikTok's educational potential, scalable personalization in online learning, and collaborative learning metrics.

Nadine Nicole KochView profile

Researcher

• Artificial Intelligence Education
• Software Engineering Education
• Numerical Cognition
• +4 more

Nadine Nicole Koch is a Teaching and Research Assistant and Doctoral Researcher at the Institute of Software Engineering , University of Stuttgart. She investigates the didactics of artificial intelligence as part of the AISA project and contributes to software engineering education research. Education: Studied Psychology and Cognitive Science at Eberhard Karls University of Tübingen Research Focus: AI education, embodied cognition, software engineering pedagogy, digital health tools Teaching Experience: Organizer of seminars on computer science didactics (University of Stuttgart), tutor for psychology research methods (University of Tübingen) Her recent work explores software engineering education challenges, self-study with open-source repositories, and cognitive development modeling. She collaborates across disciplines including psychology, computer science, and environmental education. Key publications address: AI/ML education tools for students Code tracing and program comprehension Symptom checker app usability Embodied numerical cognition Environmental education through mobile apps Learning management systems in higher education

• Neuroscience
• Neurorehabilitation
• Brain-Computer Interfaces (BCI)
• +7 more

Diego Andrés BLANCO MORA is a Postdoctoral Researcher at the University of Luxembourg's Luxembourg Centre for Systems Biomedicine (LCSB), specializing in the AI Modelling and Prediction department. His work focuses on interdisciplinary research at the intersection of neuroscience, neurorehabilitation, and technology. Key areas include motor control, brain-computer interfaces (BCI), and applications of virtual reality (VR) in healthcare, particularly for stroke rehabilitation. He also explores urban neuroscience, investigating how brain activity relates to urban environments and public health. Diego's research combines advanced neuroimaging techniques like fMRI and EEG with innovative technologies such as tACS, tDCS, and VR-BCI systems. His recent studies highlight causal roles of beta-band oscillations in motor control, long-term VR-BCI training outcomes in stroke patients, and the predictive power of brain imaging for urban behavior. He has also contributed to developing urban stimulus datasets derived from social media and ethical considerations in pain detection for non-communicative patients. His publications reflect a strong emphasis on translational research, aiming to bridge fundamental neuroscience discoveries with clinical and urban applications. Diego collaborates across disciplines, engaging in projects that address neurorehabilitation challenges and the neuroscientific underpinnings of urban design.

Dan BurnstonView profile

Associate Professor

• Philosophy of Cognitive Science
• Philosophy of Mind
• Philosophy of Science
• +8 more

Dan Burnston is an Associate Professor in the Department of Philosophy at Tulane University, serving as Director of the Tulane Cognitive Studies Program and faculty member in the Tulane Brain Institute. He also co-manages the Brains Blog. His research focuses on functional decomposition of cognitive and biological systems, representation in science, and decision-making mechanisms. He holds a PhD from the University of California, San Diego (2015), an MA from Georgia State University (2009), and a BA from Rutgers University (2007). Education: Ph.D., Philosophy and Cognitive Science, UC San Diego (2015) M.A., Georgia State University (2009) B.A., Rutgers University (2007) Research interests include philosophy of neuroscience, perceptual architecture, representation in biology, and agency. His work addresses topics like contextualist functional localization, embodied cognition, and the integration of pluralistic explanatory frameworks. Recent projects explore cognitive ontologies and the role of diagrams in scientific representation. He has presented at leading venues such as the Philosophy of Science Association and the Southern Society for Philosophy and Psychology. His work appears in journals like Philosophy of Science , Synthese , and Consciousness and Cognition . He co-leads the WORking Group on Diagrams in Science (WORGODS), emphasizing inferentialist accounts of scientific representation. Awards and grants: None explicitly listed in provided materials. Labs/Teams: Active contributor to the Tulane Cognitive Studies Program and collaborator in interdisciplinary neuroscience initiatives.

David M. CoreyView profile

Professor

• Cognitive Neuroscience
• Quantitative Methods
• Statistical Analysis
• +7 more

Dr. David M. Corey is a Senior Professor of Practice in the Department of Psychology at Tulane University's School of Science & Engineering. His research focuses on cognitive neuroscience (brain asymmetry, auditory processing, language production, and sex differences in speech fluency) and quantitative methods (statistical simulations, accuracy of correlation-based tests, and dichotomization effects). Education: Ph.D., Psychology, Tulane University (1999). Research Interests: Cognitive neuroscience of speech and language, emphasizing sex differences in stuttering and brain anatomy. Quantitative methodologies, including statistical modeling of correlation coefficients and dichotomization impacts. Publications Trend: His work spans neuroimaging studies of brain asymmetry, clinical research on swallowing disorders, and statistical simulation studies. Recent articles address anatomical variability in perisylvian regions and swallowing recovery post-stroke. No scientific awards or grants were explicitly listed. Courses taught include Introductory Psychology, Univariate Statistics, and Multivariate Analysis.

Aman BehalView profile

Professor

• Rehabilitation Robotics
• Human-Robot Interaction
• Computer Vision
• +2 more

Dr. Aman Behal is a Professor in the Department of Electrical and Computer Engineering at the University of Central Florida's College of Engineering and Computer Science. He directs the Assistive Robotics and Hybrid Systems laboratories, with research focusing on rehabilitation robotics, human-robot interaction, nonlinear controls, and assistive technologies. His educational background includes a PhD in Electrical Engineering from Clemson University and an M.Tech from Indian Institute of Technology Bombay. Research develops novel interfaces for wheelchair-mounted robotic arms to assist with daily living tasks, supported by NSF funding. Additional projects include computational neuronal network modeling for predictive neurobiology and deep learning approaches for robotic grasping. The UCF-MANUS robotic manipulator system enables real-world evaluation of assistive technologies through clinical collaborations. Recent publications emphasize adaptive control strategies for robotic manipulation, human-robot interaction safety frameworks, and computer vision for autonomous grasping. Work frequently integrates machine learning with control theory for assistive applications. Charles N. Millican Faculty Fellow (2016 onwards) Substantial grant funding includes NSF awards for adaptive human-robot interaction frameworks and social learning in mixed human-robot groups. Current doctoral students investigate neural interfaces, control algorithms, and assistive device applications. Editorial responsibilities include IEEE Transactions on Control Systems Technology and Journal of Aerospace Engineering.

Suvo MitraView profile

Professor

• Movement Coordination
• Cognitive Processes
• Motor Development
• +7 more

Suvo Mitra is a Professor in the Division of Psychology at Nottingham Trent University (NTU) and serves as Associate Dean for Research in the School of Social Sciences. His research focuses on movement coordination, cognitive processes (attention/memory/imagery), motor development, and ageing-related postural control. He has held prior positions at the University of Warwick and Haskins Laboratories (USA). Research Interests: Postural stability under cognitive load Age-related motor-cognitive interactions Motor learning dynamics Neuroscience of action-imagery relationships External Contributions: Editorial board member: Journal of Experimental Psychology: Human Perception and Performance ESRC Peer Review College member since 2010 Grant reviewer for BBSRC, MRC, NSF Funding: Supported by Royal Society, ESRC, and others. His work bridges dynamical systems theory with clinical applications in ageing populations and motor development challenges.