Find Academic Supervisors

• Brain-Computer Interfaces
• Virtual Reality
• Neurorehabilitation
• +5 more

Athanasios Vourvopoulos is an Assistant Professor at the Department of Bioengineering, Instituto Superior Técnico (University of Lisbon). He leads research in Brain-Computer Interfaces (BCI), Virtual Reality (VR), and neurorehabilitation, focusing on applications for stroke recovery and neurological disorders. His work integrates EEG neurofeedback, neuromodulation, and embodied VR to enhance clinical outcomes. He teaches courses such as Fundamentals of Bioinstrumentation and Introduction to Biomedical Engineering. Research Interests Brain-Computer Interfaces Neurorehabilitation EEG Neurofeedback Neuromodulation techniques Human-Machine Interaction Assistive technologies His research emphasizes translating neurotechnologies into clinical settings, with studies on BCI-VR systems for motor recovery in stroke patients and EEG-based action anticipation in robotics. Recent work includes multimodal neuroimaging (EEG-fMRI) and open-source tools like NeuXus for real-time artifact reduction. Awards Early Career Investigator Award , International Society for Virtual Rehabilitation (ISVR, 2022) Diploma of Excellence in Teaching , Instituto Superior Técnico (IST, 2023) He collaborates with the Institute of Systems and Robotics (ISR-Lisbon) and has published extensively on BCI-VR integration, neuromodulation, and neurorehabilitation outcomes. His labs focus on developing embodied VR systems and BCI-driven therapies for motor impairment recovery.

• cognitive neuroscience
• neuroimaging
• transcranial brain stimulation
• +1 more

Jesse A Rissman is a Professor in Psychology and Psychiatry and Biobehavioral Sciences at the University of California Los Angeles (UCLA), affiliated with the College of Letters and Science. His research focuses on the neural mechanisms of memory encoding, maintenance, and retrieval, with emphasis on top-down control, contextual influences, and individual differences. Education: ScB in Cognitive Neuroscience from Brown University (2000) PhD in Psychology from University of California, Berkeley (2007) Postdoctoral Psychology at Stanford University (2011) Rissman's work integrates advanced neuroimaging (fMRI, DTI) with behavioral paradigms and causal brain stimulation (tDCS) to explore memory processes in healthy adults and clinical populations. He pioneered the use of wearable cameras and virtual reality to enhance ecological validity in memory research. His 15 most recent publications span topics in cognitive neuroscience , neuroimaging , and virtual reality , with subfields including memory detection, neural decoding, reward-guided cognition, brain stimulation, and clinical applications. Articles from 2024–2018 highlight individual variability, contextual reinstatement, and multivariate analysis techniques. Scientific Awards: Kavli Fellow of the National Academy of Sciences (2018) Life Sciences Excellence Award in Educational Innovation (2015) Distinguished Teaching Award (2014) DARPA Young Faculty Award (2013) Hellman Fellow (2013) He directs the Rissman Memory Lab , where he investigates neural networks, brain-computer interfaces, and memory modulation through collaborative projects involving implanted electrodes and immersive environments.

Isabella Anderson-WagnerView profile

Assistant Professor

• Neuroscience
• Cognitive Science
• Microbiome Studies
• +3 more

Isabella Anderson-Wagner is an Assistant Professor at the University of Vienna, affiliated with the Faculty of Psychology and the Centre for Microbiology and Environmental Systems Science (CeMESS). Her work focuses on the intersection of brain function, cognition, and gut microbiome interactions, with an emphasis on neural plasticity, learning, and memory formation. She uses advanced neuroimaging techniques like MRI and spectroscopy to explore these processes. Research Interests: Her research investigates how the gut microbiome influences neural plasticity and memory, particularly through studies involving humans and comparative analyses with animals like dogs. Key areas include stress effects on prosocial behavior, the role of microbiome in neurodegenerative risks (e.g., dementia), and the development of mnemonic training strategies like the method of loci. Funding & Awards: She has received prestigious grants, including the Cortex Prize (2023), Young Investigator Grant (Brain & Behaviour Research Foundation, 2023), and Veni Grant (Dutch Research Council, 2020). Her work is funded by projects such as MemoryLane (2025–2030) and The Social Grid (2021–2024). Labs & Teams: Her lab is part of the Vienna Cognitive Science Hub, focusing on interdisciplinary approaches to cognitive and microbial neuroscience. Collaborations span institutions globally, with studies on topics like microbiome-brain interactions and canine cognition.

• NeuroAI
• Computational Neuroscience
• Artificial Intelligence
• +4 more

Shahab Bakhtiari is an Adjunct Professor in the Department of Psychology at the University of Montreal's Faculty of Arts and Sciences. His research focuses on NeuroAI, exploring the intersection of neuroscience and artificial intelligence, particularly in visual perception and learning mechanisms in biological systems and artificial neural networks. He holds a PhD in Neuroscience from McGill University and conducted postdoctoral research at Mila, Quebec AI Institute. Education: Bachelor's and Master's in Electrical Engineering, University of Tehran PhD in Neuroscience, McGill University His research interests include computational neuroscience, machine learning, visual system modeling, and energy-efficient predictive coding. He teaches courses on AI, cognitive neuroscience, and deep learning applications in psychology. Key grants include a CRSNG grant (2023–2029) for comparative visual system studies and the UNIQUE strategic initiative (2022–2029), co-led by 50+ researchers. He has supervised one Master's student, Hamza Abdelhedi, on AI-human face recognition comparisons. His work bridges AI and biological systems, leveraging neuroimaging and deep learning to model brain dynamics and improve AI's biological plausibility.

Steven BerginkView profile

Associate Professor

• DNA Repair
• Protein Quality Control
• Neurodegeneration
• +5 more

Steven Bergink is an Associate Professor at the University of Groningen, holding positions at both University College Groningen (Department of Mathematics and Natural Sciences) and the Medical Faculty (Department of Cell Biology). His research group focuses on the intersection of DNA repair mechanisms, protein quality control systems, and neurodegenerative processes. Dr. Bergink received his master's degree in molecular biology from the University of Groningen, followed by a PhD at ErasmusMC in Rotterdam under Jan Hoeijmakers, where he studied DNA repair regulation through ubiquitin family posttranslational modifications. He continued this research focus during his postdoctoral work at the Max Planck Institute of Biochemistry in Munich with Stefan Jentsch. DNA Damage (100%) Protein Aggregation (97%) Quality Control (95%) Ubiquitin (89%) Polyglutamine (88%) DNA Repair (84%) His recent publications demonstrate a strong focus on the relationship between DNA damage, protein homeostasis, and neurodegenerative conditions. The research spans from fundamental molecular mechanisms of protein quality control to clinical implications in conditions like glioblastoma and ataxias. His work often involves chaperone systems, DNA repair pathways, and their connections to neurological disorders. Understanding the cause of ataxia in the DNA repair deficiency syndrome Ataxia Telangiectasia: a possible link between DNA damage and proteostasis (2013) Dr. Bergink has supervised multiple research projects as indicated by the 3 supervised works documented in his profile. His research has attracted attention from both academic and public spheres, with media coverage of his work on ataxias. He maintains active collaborations across multiple institutions as evidenced by his research network.

Ying JingView profile

Researcher

• Neuroscience
• Neuroimaging
• Transcranial Magnetic Stimulation (TMS)
• +3 more

Ying Jing is a doctoral researcher at the Max Planck Institute for Human Cognitive and Brain Sciences, affiliated with the Methods and Development Group Brain Networks and the International Max Planck Research School NeuroCom (IMPRS NeuroCom). Her research focuses on advanced neurostimulation techniques, particularly transcranial magnetic stimulation (TMS), combined with functional magnetic resonance imaging (fMRI) to investigate brain networks, motor cortex mapping, and functional connectivity. She explores applications in clinical neuroscience, including TMS-guided therapies for neurological and psychiatric conditions such as depression and motor disorders. Key research interests include neuro-cardiac coupling mechanisms, spatial attention modulation via TMS, and the predictive role of resting-state fMRI in rTMS outcomes. Her work bridges experimental neurophysiology, computational modeling, and clinical translation. She is supported by the China Scholarship Council as a stipend holder. Notably, her studies address discrepancies between task-based activation and TMS hotspots, refine targeting strategies for subthalamic nuclei in rTMS therapy, and model TMS effects on cortical-subcortical circuits. Her contributions advance both fundamental neuroscience and neuromodulation-based interventions. No scientific awards or funded grants are explicitly stated. She collaborates within the Methods and Development Group Brain Networks, contributing to cutting-edge neuroimaging and stimulation methodologies.

• Neuroscience
• Complex Systems Analysis
• Statistical Physics
• +3 more

Ben Fulcher is an Associate Professor and Senior Lecturer in the School of Physics at The University of Sydney, leading the Dynamics and Neural Systems Group. His research focuses on applying statistical and physics-based methods to study complex systems, with a strong emphasis on neuroscience. He investigates brain structure and function dynamics, particularly exploring the interplay between genetics, neural connectivity, and information processing mechanisms. Fulcher has pioneered tools like hctsa (highly comparative time-series analysis) for analyzing large-scale neuroimaging and physiological data. Research Interests Complex systems analysis Neural dynamics and connectomics Feature-based time-series analysis Gene-brain connectivity relationships Imaging transcriptomics Recent Work Trends Fulcher's recent articles emphasize time-series analysis applications in neuroscience, including studies on anesthesia effects, brain connectivity, and criticality in neural systems. His work bridges computational methods (e.g., generative models, matrix-product states) with biological insights, often involving interdisciplinary collaborations. Key themes include understanding how brain geometry influences dynamics and translating genetic data into connectomic predictions. Grants & Projects 2024: ARC Future Fellowship for sleep research using complex systems methods 2023: Discovery Project on network neuroscience and AI integration Advising & Labs Fulcher supervises research students and directs the Dynamics and Neural Systems Group, which develops open-source tools like the theft R package for time-series analysis. His lab’s work has been featured in media outlets discussing brain structure-function relationships and comparative neurobiology.

• Decision Neuroscience
• Neuromarketing
• Consumer Behavior
• +7 more

A. (Ale) Smidts is a Professor of Marketing Research at the Rotterdam School of Management (RSM), Erasmus University Rotterdam. He serves as Director of the Erasmus Center for Neuroeconomics and has held leadership roles, including Chair of the Department of Marketing Management (2012–2020), Scientific Director of ERIM (2004–2011), and Dean of RSM Research. His research focuses on decision neuroscience and neuromarketing, exploring neural processes underlying consumer decisions, social influence, and dishonesty. He has contributed to understanding how brain metrics predict market success, including movie trailers and stock performance. Education: PhD in Decision Making under Risk from Wageningen University & Research (1990). Key Roles: Fellow of ERIM, Board Member of NWO (2012–2019), Advisory Board Member of NMSBA (2015–present). Research Interests: Decision neuroscience, neuromarketing, consumer decision-making, social influence, dishonesty, and brain metrics for market success. His work bridges neuroscience and marketing, appearing in journals like Journal of Neuroscience , Neuron , and Psychological Science . Articles Trends: Recent studies emphasize EEG and fMRI applications to predict advertising success, moral decision-making mechanisms, and neural correlates of honesty. Collaborations with neuroscientists like Mirre Stallen and Maarten Boksem highlight interdisciplinary approaches. Grants & Labs: Leads the Erasmus Center for Neuroeconomics. Active in securing grants for projects on neuroimaging and consumer behavior.

Taher GhalebView profile

Assistant Professor

• Data-Driven Software Analytics
• Mining Software Repositories
• Continuous Integration and Delivery (CI/CD) – DevOps
• +3 more

Taher Ghaleb is an Assistant Professor in the Computer Science Department at Trent University, Peterborough, Canada. He completed his Ph.D. at Queen’s University under Prof. Jenny Zou, followed by postdoctoral research at the University of Ottawa and a senior research role at the University of Toronto. His research focuses on applying data science and AI to address software engineering challenges. Education: Ph.D., Queen’s University, Software Evolution & Analytics Lab (SEAL) Postdoctoral Fellow, University of Ottawa Senior Research Position, University of Toronto Research Interests: Data-Driven Software Analytics: Empirical analysis of software development practices. AI in Software Engineering: Leveraging generative AI for code generation and bug detection. Continuous Integration/DevOps: Optimizing CI/CD pipelines for efficiency and reliability. LLM-Oriented Development: Integrating language models into software lifecycle processes. Publications: Taher’s work spans CI/CD practices, test case minimization, and AI-driven software testing. Recent trends emphasize empirical studies on open-source Android apps and flaky test prediction using language models. Awards: No explicit awards listed, but holds multiple U.S. patents related to software engineering and compiler systems. Advising & Grants: Seeks Master’s students and interns to join his team. Teaches courses like Software Design & Modelling (COIS 2240) and Software Engineering Project (COIS 4000) at Trent University. Labs & Teams: Formerly part of the Software Evolution & Analytics Lab (SEAL) at Queen’s University.

Calogero Maria OddoView profile

Associate Professor

• Bionic tactile sensing
• Neurophysiology of touch
• Artificial intelligence in tactile systems
• +5 more

Calogero Maria Oddo is an Associate Professor at Sant’Anna School of Advanced Studies, affiliated with the BioRobotics Institute and Department of Excellence in Robotics and Artificial Intelligence. He leads the Neuro-Robotic Touch Laboratory, coordinating a team of 25+ researchers. His work bridges neuroscience and engineering, focusing on tactile sensing, neuroprosthetics, and biomedical robotics. He holds a national qualification as Full Professor of Bioengineering and serves in academic governance roles, including Vice-Coordinator of the BioRobotics PhD program and President of the University Committee for Equal Opportunities. His research has been featured in top journals like Nature Machine Intelligence and recognized by prestigious awards such as the Feltrinelli Prize under 40 (2023). Education BSc in Electronic Engineering (University of Pisa, 2005, 1st in cohort) MSc in Electronic Engineering (University of Pisa, 2007, Excellence Track) PhD in Innovative Technologies (Sant’Anna School of Advanced Studies, 2011) Graduate of Sant’Anna Honours College (2008, 2006) Research Interests His lab develops tactile sensors inspired by human neurophysiology, with applications in bionic prostheses, robotic surgery, and healthcare. Key areas include neuromorphic engineering, mechanotransduction, and sensory feedback systems. Collaborations span institutions like the National Research Council, University of Pisa, and international partners such as École Normale Supérieure. Grants & Awards Coordinator of €10M+ in research funding from EU, Italian ministries, and private foundations Contributions to technology transfer via RoboIT and the ARTES 4.0 Competence Center Labs & Teams Leads the Neuro-Robotic Touch Lab and collaborates with the N2Lab (National Research Council), focusing on clinical translation of tactile technologies.

Rachel RomeoView profile

Assistant Professor

• Child Cognitive Development
• Neuroscience
• Language Development
• +7 more

Affiliations & Roles Rachel Romeo is an Assistant Professor in the Department of Human Development and Quantitative Methodology at the University of Maryland College Park , affiliated with the College of Education . She directs the LEAD Lab and holds faculty roles in the Neuroscience and Cognitive Science interdisciplinary program. Additional affiliations include a courtesy appointment in Hearing and Speech Sciences and memberships in the Language Science Center , Field Committee in Developmental Science , and Brain Behavior Institute . She is licensed in Maryland as a Speech Language Pathologist with clinical certification from ASHA. Education B.A. in Psychology and Linguistics, University of Pennsylvania (2011) M.Sc. in Language Sciences, University College London (via Fulbright Fellowship) Ph.D. in Speech and Hearing Bioscience and Technology, Harvard/MIT Program (2018) Clinical training: MGH Institute of Health Professions Postdoctoral training: Boston Children’s Hospital, Harvard, MIT Research Focus Romeo’s work examines how early experiences shape brain and cognitive development , with emphasis on socioeconomic influences, neurodevelopmental disorders, and translational applications to education/social policy. Key areas include language acquisition mechanisms, neural plasticity in conversational environments, and equity in developmental neuroscience research. Recent studies investigate caregiver-child neural synchrony, speech input variability’s impact on vocabulary, and fNIRS methodology improvements for diverse populations. Awards & Recognition Fulbright Fellowship (UCL) American Speech-Language-Hearing Association Clinical Competence Certification Lab & Interventions LEAD Lab research focuses on Preschool Language and Neural Engagement Study , exploring how socioeconomic factors and conversational environments affect early learning. Projects emphasize precision interventions for disadvantaged populations, including neuroimaging-based approaches and family-centered communication strategies. Current work addresses digital media’s neurodevelopmental impacts and equity in scientific participation.

• Genetics
• Neuroscience
• Molecular Biology
• +7 more

Thomas Auer is an Assistant Professor at the Department of Biology within the Faculty of Science and Medicine at the University of Fribourg. His research bridges genetics, neuroscience, and molecular biology to explore sensory processing and developmental mechanisms in ecological specialists. Email: thomas.auer@unifr.ch ORCID: 0000-0003-3442-0567 Dr. Auer's work focuses on olfactory system adaptation , vertebrate body asymmetry , and CRISPR/Cas9 applications . He has contributed to molecular diagnostics in resource-limited settings and investigated neural circuit evolution in Drosophila and zebrafish. Recent publications highlight his expertise in sensory gene regulation and neuroecological adaptation , with studies on odorant receptor dynamics, left-right organizer development, and mosquito olfactory encoding. His research often integrates evolutionary perspectives with technical innovation. Dr. Auer actively participates in global scientific initiatives like TReND in Africa , advocating for equitable biotechnology dissemination. His laboratory explores the genetic basis of sensory specialization and neural circuit evolution.

• Auditory Neuroscience
• Neural Coding
• Neural Plasticity
• +7 more

Andrew King is a Professor of Neurophysiology at the University of Oxford , affiliated with the Department of Physiology, Anatomy and Genetics and the Centre for Integrative Neuroscience . He leads the Oxford Auditory Neuroscience Group and contributes to graduate education as Director of the 4-year Doctoral Training Programme in Neuroscience and Course Director of the MSc in Neuroscience. BSc in Physiology, King’s College London PhD, National Institute for Medical Research, London His research focuses on auditory neuroscience, exploring how the brain adapts to dynamic soundscapes, integrates sensory and motor signals, and compensates for hearing impairments. Methodologies include behavioral studies, electrophysiology, imaging, and optogenetics. Recent work highlights nonlinear sound encoding, midbrain function, and predictive modeling in sensory systems. Andrew holds a Wellcome Principal Research Fellowship and has received grants from the Oxford NIHR Biomedical Research Centre , Wellcome Trust , and Action on Hearing Loss . He serves on editorial boards for eLife , the Journal of Physiology , and the Journal of Neuroscience , and chairs the Royal Society Research Grants Board: Biological Sciences. Wellcome Prize in Physiology (1990) Fellow, The Royal Society (2018) Fellow, Academy of Medical Sciences (2011) Sir Henry Savile Fellow, Merton College The Oxford Auditory Neuroscience Group, under his leadership, investigates cortical and subcortical mechanisms in auditory processing and plasticity.

• Nutrition Science
• Dietary Assessment Methodology
• Childhood Obesity and Health
• +6 more

Professor Tracy Burrows is a leading NHMRC Research Fellow at the University of Newcastle's School of Health Sciences , specializing in Nutrition and Dietetics. As Co-Director of the Food and Nutrition Research Program at Hunter Medical Research Institute and Fellow of Dietitians Australia, she combines clinical expertise with advanced biochemical validation methods. PhD in Nutrition & Dietetics (University of Newcastle) Bachelor of Nutrition and Dietetics (Honours) Graduate Certificate in Tertiary Teaching Her research spans addictive eating behaviors , childhood obesity , and innovative dietary assessment tools , including the Australian Eating Survey and Healthy Eating Quiz . She pioneered the first Australian study using doubly labelled water to validate child dietary reporting accuracy. Recent work focuses on digital health interventions like MOOCs, international collaborations in Cambodia/Tanzania, and the ACERO network for food addiction research. Awards include the 2016 NSW Young Tall Poppy and 2024 Helen Christiansen Award. 2016 NSW Young Tall Poppy 2020 HMRI Mid-Career Researcher of the Year 2024 Helen Christiansen Award Dietitians Australia Fellow Supervising over 200 students across disciplines, she leads e-health initiatives for rural communities and sits on national research committees. Her publications bridge neuroscience , public health , and clinical nutrition domains.

Daniel A. AbramsView profile

Associate Clinical Professor

• Autism Spectrum Disorders
• Cognitive Neuroscience
• Brain Imaging
• +5 more

Dr. Daniel A. Abrams is a Clinical Associate Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University. His research focuses on the neurobiological basis of social communication impairments in children with autism spectrum disorders (ASD), particularly how atypical reward attribution to social stimuli like voices and faces impacts development. He employs techniques such as functional MRI, psychophysics, and cognitive assessments to identify neural markers of social and memory deficits in ASD. Dr. Abrams received his Ph.D. in Auditory Cognitive Neuroscience from Northwestern University (2008) and a B.F.A. from the University of Arizona (1994). His work has been funded by NIH, NARSAD, and the National Organization for Hearing Research Foundation. He leads the Speech and Social Neuroscience Lab at Stanford Cognitive and Systems Neuroscience Laboratory. Scientific awards include the K01 Research Scientist Development Award (NIH/NIMH, 2014-2017), NARSAD grant (2019-2021), and a 2017 CHRI Pilot Early Career Award. His recent publications highlight neural circuitry in voice processing, memory impairments linked to hyperconnectivity, and efficacy of clinic-home-school collaborative interventions for autistic adolescents. Key research trends: Autism neurodevelopment, reward/salience circuit dysfunction, social communication biomarkers, voice prosody decoding, and memory plasticity. Dr. Abrams’ full description below details his academic trajectory, grants, student collaborations, and clinical trial leadership.