Find Academic Supervisors

• Neurophysiology
• Schizophrenia
• Addictiology
• +6 more

Stéphane Potvin is a Full Professor at the Department of Psychiatry and Addictionology, Faculty of Medicine, University of Montreal. He is affiliated with the Institute Universitaire en Santé Mentale de Montréal (CIUSSS de l'Est-de-l'Île-de-Montréal) and holds the Eli Lilly Canada Research Chair in Schizophrenia. His research focuses on neurophysiology , cannabis/alcohol effects on schizophrenia , and virtual reality therapy for psychiatric disorders. Key Research Themes Neuroimaging of reward and pain systems Cannabis and violence in mental illness Virtue-based interventions for substance use Forensic psychiatry applications Scientific Recognition Multiple CIHR and FRQS funding Winner of the 2013 Emmanuel Stip Prize Lead on 10+ research projects Academic Leadership Supervised 15+ graduate students Coordinated Neurobiology and Cognition research axis Contributed to 200+ peer-reviewed publications

• Judgment and Decision Making
• Affective Factors in Decision Making
• Contextual Influences on Judgments
• +5 more

Chandrima Powers is an Associate Professor of Psychology at Palm Beach Atlantic University's School of Liberal Arts and Sciences. Her research focuses on human judgment and decision-making processes, integrating cognitive psychology, affective factors, and applied contexts to understand how individuals navigate complex choices in modern environments. PhD in Psychology, University of Toledo MA in Psychology, University of Toledo MS in Psychology, University of Calcutta BS in Psychology, University of Calcutta Dr. Powers' research explores three core areas: (1) individual differences in numeracy, information processing, and risk attitudes; (2) technological and neurophysiological methods for analyzing decision-making dynamics; and (3) risk communication strategies in health decisions for elderly populations. She teaches courses in cognitive psychology, cognitive neuroscience, statistics, and research methodology. Her work has been published in journals including the Journal of Behavioral Decision Making , Psychological Studies , and Psychology and Aging . She actively collaborates with PBA's Workship program to engage with elderly communities through applied research initiatives.

Julien MayorView profile

Professor

• Language Acquisition
• Infant Speech Perception
• Cognitive Development
• +5 more

Julien Mayor is a Professor at the Department of Psychology, University of Oslo , specializing in Language Acquisition , Infant Speech Perception , and Computational Modeling in Psychology . His work bridges cognitive development with bilingualism and dialect exposure, focusing on how infants learn words through parental speech patterns. He leads the BabyLing project, developing tools like TLex for unbiased language screening.

ANDREA TIGRINIView profile

Researcher

• Biomedical Engineering
• Human Motion Analysis
• Electromyography
• +4 more

Andrea Tigrini serves as a Researcher in the Department of Information Engineering at Marche Polytechnic University's School of Engineering in Ancona, Italy. His scientific sector is Bioengineering (IBIO-01/A), with research spanning biomedical signal processing and human motion analysis. Dr. Tigrini's research interests focus on the intersection of biomedical engineering and machine learning, particularly in developing innovative approaches for human motion analysis through electromyography (EMG) and inertial sensing. His work emphasizes creating minimal-sensor solutions for practical applications in rehabilitation technologies, gait analysis, and assistive devices. He investigates neuromuscular control mechanisms during various activities including walking, balance maintenance, and hand gestures. Analysis of his recent publications (2023-2025) reveals a strong trend toward developing accessible diagnostic and assistive technologies using machine learning approaches. His research consistently addresses real-world challenges in diabetic neuropathy detection, prosthetic control, and rehabilitation monitoring, with particular emphasis on creating solutions that require minimal sensor setups to enhance practicality and adoption in clinical settings. His work demonstrates significant contributions to understanding the relationship between neuromuscular signals and movement patterns, with applications spanning rehabilitation engineering, human-computer interaction, and clinical diagnostics. The interdisciplinary nature of his research bridges engineering principles with physiological understanding to create practical healthcare solutions.

Amir-Homayoun JavadiView profile

Senior Lecturer

• Cognitive Neuroscience
• Memory Enhancement
• Neuroimaging
• +7 more

Dr. Amir-Homayoun Javadi is a Senior Lecturer in Cognitive Neuroscience at the School of Psychology, University of Kent . He holds additional roles as an Honorary Research Associate at the Institute of Behavioural Neuroscience, University College London and a Visiting Professor at the School of Rehabilitation, Tehran University of Medical Sciences . His research focuses on non-pharmacological interventions to enhance memory, learning, and mental health through methods like physical exercise, brain stimulation, music, and sleep studies. Key Research Themes: Memory consolidation and enhancement Neurostimulation (tDCS, tACS) Sleep and circadian rhythm effects Emotion processing Computational modeling The 15 most recent publications highlight his work in neurostimulation during memory tasks, music-induced emotional states, exercise neuroscience, and Alzheimer’s disease diagnostics. Scientific awards are not explicitly mentioned. He supervises PhD students in areas including memory enhancement, declarative memory, and procedural skill learning, while maintaining memberships in the Federation of European Neuroscience Societies (FENS) and British Neuroscience Association (BNA). The Javadi Lab investigates cognitive mapping, neural oscillations, and brain-body interactions using EEG, fMRI, and AI.

Katherine L. PerkinsView profile

Associate Professor

• Neurophysiology
• Epileptogenesis
• GABAergic Signaling
• +4 more

Katherine L. Perkins, PhD is an Associate Professor in the Department of Physiology and Pharmacology at SUNY Downstate Medical Center, focusing on neurophysiology and epilepsy research . Her work investigates GABAergic signaling , interneuron networks , and extracellular space dynamics in seizure mechanisms. Research Themes: Depolarizing GABA responses in hippocampal neurons Interneuron network activation patterns Role of extracellular matrix in epilepsy Pharmacological modulation of seizure activity Key Techniques: Cell-attached and whole-cell patch-clamp recording, rodent brain slice models, synaptic current analysis. Her publications span Journal of Neurophysiology , Epilepsy Research , and Journal of Neuroscience , with a focus on synaptic transmission and neuronal excitability in epilepsy models. Collaborations: Sabina Hrabetova's lab (extracellular space studies)

Sonia PellissierView profile

Lecturer

• Neuroscience
• Physiology
• Psychology
• +6 more

Sonia Pellissier is a Lecturer at the LIP/PC2S laboratory (Université Savoie Mont Blanc). She leads the "Prevention" thematic axis and the Psychology of stress and emotional regulation group within the national ABC Psychotraumas network . Her research focuses on the bio-psycho-social interactions of stress, emotions, and the vagus nerve, particularly in chronic inflammatory diseases (Crohn's, colitis) and functional disorders (IBS). Research keywords: vagus nerve, stress, emotions, inflammatory bowel disease, interoception, mindfulness, hypnosis Current projects include clinical trials on vagal neurostimulation for Crohn's disease (NCT01569503), longitudinal studies on HRV as a predictor of relapse, and PTSD prevention in high-risk mountain workers Collaborations: GIN neuroimaging center (Ch. Delon), Translational Research Center for GI Diseases (U. Louvain), LPNC, IRBA, DGA, and teams in Switzerland/Paris Therapeutic innovations: cardiac coherence, mindfulness, hypnosis, and vagal neurostimulation for stress-related pathologies

• Neuroscience
• Neurology
• Biomedical Engineering
• +6 more

Sana Amoozegar is a Research Fellow at the Department of Neurology within the University of Minnesota Medical School . Her work bridges Neuroscience , Biomedical Engineering , and Neurotechnology through deep brain stimulation (DBS) research. Her research focuses on: Therapeutic applications of DBS in Parkinsonian models Neural network modulation in subthalamic pathways Development of closed-loop neuromodulation systems Neuroimaging techniques for seizure localization Recent publications demonstrate expertise in Neuroengineering , including DBS optimization (2025), subthalamic coherence analysis (2024), and LFP-based stimulation systems (2022). She also contributes to Cardiac Risk Prediction (2018) and Neurological Signal Processing (2013).

Monika P. JadiView profile

Assistant Professor

• Computational Neuroscience
• Neuroengineering
• Cortical Circuits
• +4 more

Monika P. Jadi is an Assistant Professor at Yale School of Medicine , affiliated with both the Department of Psychiatry and Department of Neuroscience . Her work bridges computational neuroscience and neuroengineering, focusing on cortical circuit dynamics and dendritic computations. Ph.D. in Neuroengineering, University of Southern California (2010) Postdoctoral Training, Salk Institute Computational Neurobiology Laboratory (2017) Research spans computational principles of flexible brain information processing, utilizing applied physics and machine learning methodologies. Key interests include: Dendritic Synaptic Inhibition Cortical Oscillation Mechanisms Interneuron Class Modulation Population Coding Temporal Dynamics Neuromodulation in Columnar Circuits Recent publications examine spatial context effects on visual cortex information flow, brain-state dependencies in cortical processing, and primate behavioral modeling . The lab employs both computational modeling and in vitro experiments to dissect neural circuit properties. Awarded the NIH Pathway to Independence Award (K99/R00), her work receives institutional support from Yale's Molecular Psychiatry Division and Neuroscience Program . Collaborations span neurophysiology, computational modeling, and translational brain imaging initiatives.

Vincent ArdonceauView profile

Researcher

• Neuroscience
• Sensorimotor Plasticity
• Cognition
• +2 more

Vincent Ardonceau is a Researcher and PhD student at the University of Burgundy , affiliated with the INSERM U1093 Laboratory and the Marey Institute . His research focuses on sensorimotor adaptation, cognitive neuroscience, and multisensory integration. Licence STAPS in Adapted Physical Activity and Health (APAS), INU J-F Champollion, Rodez Master STAPS in Movement Ergonomics and Disability (MEH), Université Grenoble Alpes, Grenoble His thesis, "Glasses to hear differently: the aftereffects of vertical prism adaptation on visual and auditory attention and representations," investigates how vertical prism adaptation alters visuospatial and auditory perception, contributing to understanding neural plasticity and cognitive processing. His publications in Cortex and Frontiers in Psychology highlight mechanisms of cross-modal sensory interactions. Current research trends include experimental psychology methods to analyze aftereffects on attentional networks and potential applications in cognitive rehabilitation. Vincent collaborates with the Marey Institute and works under the supervision of Carine Michel and Bénédicte Poulin-Charronnat.

Scott ChandlerView profile

Professor

• Neuroscience
• Neurophysiology
• Movement Disorders
• +3 more

Scott Chandler is a Professor in the Department of Integrative Biology and Physiology at the University of California, Los Angeles (UCLA). His research focuses on understanding the central nervous system's control of rhythmic movements and neurodegenerative diseases like ALS. B.S., Neurobiology, University of California, Berkeley Ph.D., Physiology/Neurophysiology, University of California, Los Angeles (1979) Chandler's research explores how small brainstem neuronal networks generate rhythmic movements (e.g., mastication, respiration) and how ion channels contribute to these processes. His lab investigates early ALS-related neuronal dysfunction using transgenic mouse models, aiming to identify molecular targets for drug therapies. 2023 study on GABA inhibition and L-type calcium currents in ALS mouse jaw neurons 2020 work on single-cell RNA-seq in ALS brainstem analysis 2019 publications on resurgent sodium currents and circuit-specific ALS impairments 2015 studies on sensory neuron enrichment and membrane homeostasis in ALS 2007-2009 work on Kv1 channels and Nav1.6 sodium currents in trigeminal neurons Chandler's lab combines electrophysiological recordings, computational modeling, and bioinformatics to unravel the cellular mechanisms underlying movement control and neurodegeneration.

• Neuroscience
• Biomedical Engineering
• Brain-Computer Interfaces
• +3 more

Mila Nurminen is a Doctoral Researcher at Aalto University's Department of Neuroscience and Biomedical Engineering. Her work focuses on advanced neuroimaging techniques and machine learning applications in neuroscience. Research areas: MEG signal processing, brain-computer interfaces, and movement discrimination Key methodologies: Convolutional neural networks, neurophysiological modeling Recent publications demonstrate expertise in analyzing magnetoencephalography (MEG) signals for movement classification and studying proprioceptive responses. Active contributor to the field of imaging neuroscience through collaborative research projects. Contact: mila.nurminen@aalto.fi

David HeegerView profile

Professor

• Neuroscience
• Computational Neuroscience
• Cognitive Science
• +4 more

David Heeger is a Silver Professor and Professor of Psychology and Neural Science at New York University. His research focuses on computational neuroscience, neural circuits, and cognitive modeling. He leads the Computational Neuroimaging Laboratory and has contributed extensively to understanding visual perception, attention mechanisms, and cortical processing. B.A. in Mathematics (University of Pennsylvania, 1983) Ph.D. in Computer Science (University of Pennsylvania, 1987) Postdoctoral Fellowship at MIT Media Lab (1987-1990) Former faculty at Stanford University (1991-2002) His research spans Neuroscience , Machine Learning , and Visual Perception . Key contributions include normalization models in neural circuits, computational frameworks for attention dynamics, and neuroimaging techniques. Recent work explores traveling waves in the visual cortex, hypoxia effects on cognition, and applications of recurrent neural networks. Scientific awards include: David Marr Prize in computer vision (1987) Alfred P. Sloan Research Fellowship (1994) Troland Award from the National Academy of Sciences (2002) Margaret and Herman Sokol Faculty Award (2006) He teaches courses on perception, computational neuroscience, and sensory-motor systems, with handouts covering signal detection theory, neural integrators, and linear systems. His publications (15 most recent) address topics ranging from attention mechanisms in binocular rivalry to arterial oxygen desaturation impacts on cognitive performance, normalization in neural networks, and cortical dynamics in visual processing.

• Community engagement in higher education
• Information processing in anxiety and aggression
• Parental self-regulation and parenting behavior
• +3 more

Jorg Huijding is a Professor at Utrecht University's Faculty of Social Sciences, specializing in Clinical Child & Family Studies . His work bridges education, research, and society through community-engaged learning , focusing on integrating social partners into pedagogical curricula and analyzing the benefits of such engagement. Research Interests Dynamics of Youth (DoY) initiatives Information processing in anxiety/aggression Parental interpretations of child behavior Self-regulation development in children Recent Trends include studies on frontal EEG activity, brain network connectivity, and childcare impacts on self-regulation. His articles emphasize longitudinal designs and multimodal methods (EEG, eye-tracking). Leadership Roles Bachelor's program Pedagogical Sciences Director UU-wide community engaged learning council member Chairman of national Pedagogics chamber Committee Involvement spans interdisciplinary education, Open Science, and clinical psychologist training reform. He contributed to the YOUth cohort study and the Healthy Urban Living Innovation Hub.

Leonardo BanhView profile

Researcher

• Generative AI
• Artificial Intelligence
• Machine Learning
• +6 more

Leonardo Banh is a Researcher at the University of Duisburg-Essen within the Faculty of Computer Science and its Chair of Business Information Systems and Software Engineering . M.Sc. in Business Information Systems (University of Duisburg-Essen, 2022) B.Sc. in Business Information Systems (University of Duisburg-Essen, 2020) Semester abroad at Instituto Superior Técnico, Lisbon (2021) His research focuses on Generative AI and its socio-technical implications, particularly in Machine Learning and Deep Learning applications. He explores intersections with NeuroIS , Smart Tourism , and E-commerce Ecosystems , emphasizing sustainability and digital transformation. Recent publications analyze Generative AI in Software Engineering , AI in Music Sentiment Analysis , and AI-Based Sign Language Translation . His work often involves design science research and grounded theory frameworks. Best Paper in Track Award (ICIS 2024) Nominated for Best Paper Award (ICIS 2024) Outstanding Reviewer (ICIS 2024) As advisor, he supervises theses on topics including AI-Based Mental Health Chatbots , Generative AI in HR , and Smart Tourism Applications . He also contributes to the Institute of Computer Science and Information Systems and serves on appointment/habilitation committees.