جستجوی استاد راهنمای دانشگاهی

Zohreh Sharafiمشاهده پروفایل

استادیار

• Software Engineering
• Human Aspects of Software Engineering
• Gender Studies in Software Engineering
• +۷ مورد دیگر

Zohreh Sharafi is an Assistant Professor of Software Engineering in the Department of Computer and Software Engineering (GIGL) at Polytechnique Montréal. Previously, she served as a Senior Research Fellow in the Department of Electrical and Computer Engineering at the University of Michigan, Ann Arbor, where she worked with Dr. Westley Weimer and was awarded the prestigious NSERC Postdoctoral Fellowship. Prior to her academic career, she worked as a software engineer at Morgan Stanley, contributing to the firm's electronic trading platform and serving as principal architect of SURF, a market data simulator. Her educational background includes a Ph.D. in Computer Engineering from École polytechnique de Montréal under the supervision of Dr. Giuliano Antoniol and Dr. Yann-Gaël Guéhéneuc, a Master of Applied Science in Software Engineering from Concordia University, and a Bachelor of Computer Engineering from the University of Tehran. Dr. Sharafi leads the SENSE Lab, a multidisciplinary software engineering research laboratory focused on understanding problem-solving strategies developers use during software development, with particular attention to human factors such as gender and native language. Her research combines human-centric design with experimental methodologies, investigating cognitive processes involved in software development using biometric measures including eye tracking and neuroimaging. Current active projects include evaluating trustworthiness perceptions of software artifacts and studying the role of creativity in software engineering tasks. She has made significant contributions to understanding how gender influences program comprehension and code review processes. Her publication record demonstrates a strong focus on empirical methods in software engineering, particularly eye tracking and neuroimaging techniques to study developer cognition. Her work spans program comprehension, code review, requirements engineering, and the impact of human factors on software development processes. She has developed methodological frameworks for conducting eye tracking studies in software engineering and has made notable contributions to understanding how visualization techniques affect software development tasks. NSERC Postdoctoral Fellowship NSERC Discovery Grant Program and Launch Supplements (Sep 2024-Sep 2029) IVADO Startup & Operation Fund (Jan 2022-Jan 2023) Scholarship for Doctoral Studies from Fonds de Recherche du Quebec Distinguished Reviewer Awards from IEEE ICPC 2020 and ACM FSE 2024 Dr. Sharafi actively mentors students including Mahta Amini (PhD Candidate, IVADO Scientifique en résidence 2024 Laureate), Cameron Cherif (PhD Candidate), Sara Yabesi (Master's Student), and Anthonia Njoku (Graduate research intern). She serves on numerous conference organizing committees including as Local Arrangement Chair for SANER 2025, Program Co-chair for SEMLA 2024, and as a reviewer for top-tier journals including IEEE Transactions on Software Engineering and ACM Computing Surveys. Her research is supported by multiple grants focused on understanding human factors in software engineering through empirical methods. At Polytechnique Montréal, Dr. Sharafi directs the SENSE Lab which brings together computer scientists, cognitive scientists, and software engineering researchers to investigate the cognitive aspects of software development. The lab employs advanced methodologies including eye tracking, functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI) to study how developers comprehend, navigate, and modify software systems. Current projects examine trustworthiness perceptions in code review, the role of creativity in software engineering tasks, and gender differences in software development processes.

Kamal Senمشاهده پروفایل

دانشیار

• Neural Coding of Natural Sounds
• Hierarchical Auditory Processing
• Neural Discrimination
• +۳ مورد دیگر

Kamal Sen is an Associate Professor in the Department of Biomedical Engineering at Boston University, serving as Director of the Natural Sounds and Neural Coding Laboratory and Director of Admissions and Recruitment for Master’s Programs. He holds a PhD and MA in Physics from Brandeis University and a BA in Physics from Bates College. His research focuses on understanding how neurons encode natural sounds, particularly in the auditory cortex. Key areas include neural coding efficiency, hierarchical auditory processing, and the role of learning in shaping receptive fields. He developed the BOSSA algorithm to address sound segregation challenges in noisy environments, with applications for hearing aid technology. Sen’s work integrates electrophysiological techniques with theoretical approaches from signal processing, information theory, and systems theory. His lab explores neural discrimination of behaviorally relevant sounds and models cortical processing dynamics using computational frameworks. Recent studies investigate parvalbumin neuron contributions to temporal coding and cortical noise reduction in complex auditory scenes. His publications span neural circuit modeling, fNIRS applications in BCI, and biomimetic algorithms for auditory scene analysis. Research highlights include exploring schizophrenia-related gene effects on neural circuits and developing 3D neurosphere models for Parkinson’s disease.

Frank Russoمشاهده پروفایل

استاد

• Auditory Cognitive Neuroscience
• Music Psychology
• Music Medicine
• +۱۲ مورد دیگر

Frank Russo is a Professor in the Department of Psychology at Toronto Metropolitan University, where he holds the NSERC-Sonova Senior Research Chair in Auditory Cognitive Neuroscience. He leads the Science of Music Auditory Research and Technology (SMART) Lab and holds affiliate and adjunct positions at the University Health Network and the University of Toronto, respectively. Research Interests: Dr. Russo's work lies at the intersection of auditory cognitive neuroscience, music psychology, and rehabilitation. His research explores how humans perceive music and speech, particularly under challenging conditions such as hearing loss or non-native accents. He investigates the cognitive and neural mechanisms of listening effort, emotional speech processing, and the social and therapeutic benefits of music, especially through community choirs and digital interventions. Publication Trends: His recent publications emphasize objective measurement of listening effort using functional near-infrared spectroscopy (fNIRS), music-based interventions for Parkinson’s disease and dementia, vocal and emotional responses to singing, and multisensory integration in beat perception. The work is highly translational, bridging basic cognitive neuroscience with clinical and community applications. Scientific Awards and Honors: NSERC-Sonova Senior Research Chair in Auditory Cognitive Neuroscience Fellow of the Canadian Psychological Association Fellow of Massey College Fellow of the Canadian Society for Brain, Behavior and Cognitive Science Past President of the Canadian Acoustical Association Advising and Grants: Dr. Russo actively mentors students and researchers, as evidenced by his co-authorship with numerous junior colleagues. He has secured major funding through NSERC and industry partnerships, enabling the development of impactful technologies such as hearing aid algorithms, sensory substitution systems, and digital therapeutics. His SingWell project fosters collaboration across academic, clinical, and community sectors. Labs and Teams: He directs the SMART Lab at Toronto Metropolitan University, a hub for interdisciplinary research on music, hearing, and cognition. The lab collaborates extensively with KITE Research Institute, Rehabilitation Sciences at the University of Toronto, and various community organizations focused on aging, hearing loss, and neurodegenerative conditions.

Audrey Bowdenمشاهده پروفایل

دانشیار

• Biomedical Optics
• Point-of-Care Diagnostics
• Biomedical Imaging
• +۴ مورد دیگر

Audrey Bowden is an Associate Professor at Vanderbilt University in both the Department of Biomedical Engineering and Department of Electrical and Computer Engineering . She is also the Dorothy J Wingfield Phillips Chancellor Faculty Fellow . Education: PhD in Biomedical Engineering (2007) from Duke University BSE in Electrical Engineering (2001) from Princeton University Research Interests: Bowden's work focuses on biomedical optics and point-of-care diagnostics , with a strong emphasis on addressing healthcare disparities through low-cost technologies. Key areas include: Biomedical Imaging Biophotonics Image Processing Machine Learning in Medical Imaging Optical Coherence Tomography (OCT) Functional Near-Infrared Spectroscopy (fNIRS) Publication Trends: Recent work combines machine learning with endoscopic imaging to differentiate cancer from inflammation, develops low-cost OCT systems for smartphones, and improves fNIRS accessibility for diverse patient populations. Her lab also focuses on 3D reconstruction algorithms for urological applications and specular reflection removal in endoscopic videos. Lab & Clinical Collaborations: The Bowden Biomedical Optics Laboratory (BBOL) collaborates with clinical departments including urology , dermatology , otolaryngology , and women's health . The lab integrates optics , microfluidics , and computer science to create hardware/software tools for resource-constrained environments.

Daniel Hydeمشاهده پروفایل

دانشیار

• Cognitive Development
• Numerical Cognition
• Developmental Psychology
• +۷ مورد دیگر

Daniel Hyde is an Associate Professor in the Department of Psychology at the University of Illinois Urbana-Champaign, affiliated with the College of Liberal Arts & Sciences and the Neuroscience Program. His research explores the nature and development of abstract conceptual knowledge through behavioral and neural measures. PhD in Psychology from Harvard University Hyde investigates cognitive development from infancy to adulthood, focusing on quantitative reasoning , spatial reasoning , and psychological reasoning using techniques like event-related brain potentials (ERPs) , functional near-infrared spectroscopy (fNIRS) , and behavioral assessments. His recent work examines how symbolic number knowledge builds on non-symbolic foundations and how neural sensitivity to mental states in infancy predicts later theory of mind abilities. Hyde's publications demonstrate a consistent focus on numerical cognition, multisensory integration, and developmental neuroscience. He leads the Brain and Cognitive Development Lab , participates in global initiatives like ManyNumbers and ManyBabies , and collaborates across disciplines to apply developmental insights to education and public health contexts.

Lauren Embersonمشاهده پروفایل

دانشیار

• Developmental Psychology
• Cognitive Psychology
• Infant Perception
• +۴ مورد دیگر

Dr. Lauren Emberson (she/her/hers) is an Associate Professor in the Department of Psychology at the University of British Columbia, Faculty of Arts. She directs the Baby Learning Lab, which is part of UBC's Early Development Research Group, a consortium focused on infant and child development. Prior to her position at UBC, Dr. Emberson was an Assistant Professor at Princeton University where she co-founded and co-directed the Princeton Baby and Princeton Kid Labs. Education: Postdoctoral Associate, University of Rochester (PI Aslin) Ph.D, Cornell University (PIs Amso, Goldstein, Spivey) B.Sc, University of British Columbia Dr. Emberson's research focuses on learning, perception (audition, vision, crossmodal or multisensory), language development, face/object perception, and attention in infants. She investigates these capacities using behavioral and neuroimaging techniques, particularly fNIRS (functional near infrared spectroscopy), working primarily with very young infants (birth through 1 year) and preterm/premature infants. Her work examines how infants' learning capacities contribute to rapid development of perception in ecological contexts, with implications for understanding how early life experiences affect later outcomes. Analysis of Dr. Emberson's recent publications reveals a consistent focus on infant perception, learning mechanisms, and neuroimaging methodology. Her work increasingly incorporates advanced fNIRS techniques while maintaining focus on fundamental questions about how infants learn from their environment. There's a growing emphasis on individual differences, cross-cultural comparisons, and applications to infants facing developmental challenges. Dr. Emberson serves on the editorial board of Infancy (journal of the International Congress of Infancy Studies) and is a consulting editor for the Journal of Cognitive Neuroscience . Her research has been published in top journals including PNAS, Current Biology, Psychological Science, Cognition, Developmental Science, and the Journal of Neuroscience. Dr. Emberson has secured significant research funding from prestigious organizations including the Bill and Melinda Gates Foundation, James S. McDonnell Foundation, Natural Sciences and Engineering Research Council (NSERC), Canadian Institutes of Health Research (CIHR), and the National Institutes of Health (NIH). She collaborates with clinicians at BC Women's and Children's Hospitals to understand how different early life experiences impact learning and brain development. Dr. Emberson is currently accepting graduate students into her research program. The Baby Learning Lab, under Dr. Emberson's direction, is part of UBC's Early Developmental Research Group and collaborates with multiple institutions. The lab strives to provide interactive research experiences for infants and families while advancing scientific understanding of early cognitive development. The lab acknowledges that it operates on the traditional, ancestral, and unceded territory of the xʷməθkʷəy̓əm (Musqueam) people.

Hasan Ayazمشاهده پروفایل

دانشیار

• Neuroergonomics
• Functional Neuroimaging
• Biomedical Signal Processing
• +۶ مورد دیگر

Hasan Ayaz, PhD, is an Associate Professor at Drexel University’s School of Biomedical Engineering, Science and Health Systems, and the Department of Psychology in the College of Arts and Sciences. He is a core member of the CONQUER Collaborative and has affiliations with the University of Pennsylvania and Children’s Hospital of Philadelphia. His research focuses on neuroengineering, neuroergonomics, and clinical applications of optical brain imaging, particularly using fNIRS and EEG. He has over 200 publications and has secured funding from federal agencies and industry partners. Dr. Ayaz serves on editorial boards for journals like PLOS One and Frontiers in Human Neuroscience and has organized international neuroergonomics conferences. Education: BSc (Electrical and Electronics Engineering, Boğaziçi University, Turkey), MSc and PhD (Drexel University). Research Interests: Neuroergonomics, functional neuroimaging, biomedical signal processing, neuroengineering, fNIRS, EEG, brain-computer interfaces, and mobile neuroimaging. His work aims to develop next-generation brain imaging technologies for applications ranging from aerospace to healthcare. Key Awards: Received a Wellcome LEAP Grant for Addiction Research in 2024. Grants & Advising: Extensive federal and corporate funding; no explicit student list provided. His research involves interdisciplinary collaborations and clinical partnerships. Labs/Teams: Leads the CONQUER Collaborative and contributes to the Cognitive Neuroengineering group at Drexel.

Maryam Ghahramaniمشاهده پروفایل

مدرس ارشد

• Human Motion Analysis
• Machine Learning
• Rehabilitation Engineering
• +۵ مورد دیگر

Dr. Maryam Ghahramani is a Senior Lecturer in AI & Robotics at the Faculty of Science & Technology, University of Canberra, Australia. She holds a BSc in Electrical Engineering from Shiraz University, Iran, and a PhD in Biometric Gait Analysis from the University of Wollongong, Australia. Biomedical Engineering Researcher Machine Learning Specialist Human Motion Analysis Expert Her research focuses on applying machine learning to human motion analysis for rehabilitation purposes, particularly in three key areas: Parkinson's Disease: Using fNIRS and machine learning for disease detection and motor function assessment Fall Prevention: Analyzing postural sway and risk of falls in older adults Spatial Disorientation: Studying balance in hypoxic aviation environments Recent publications demonstrate her work at the intersection of biomedical engineering, machine learning, and clinical rehabilitation. Current projects include: Young Onset Dementia Detection with 12-week Home-Based Exercise Programs Mild Hypoxia Analysis for Aviation Safety Balancing Mat Performance Evaluation

Ernesto Elias Vidal Rosasمشاهده پروفایل

مدرس

• Neuroimaging
• Brain-computer interfaces
• Medical optics imaging
• +۲ مورد دیگر

Dr. Ernesto Elias Vidal Rosas is a Lecturer at the School of Electronics and Computer Science, University of Southampton. Previously, he was a Postdoctoral Researcher at UCL Medical Physics and Biomedical Engineering Department. He specializes in neuroimaging and optical technologies with extensive expertise in near-infrared spectroscopy (NIRS), diffuse optical tomography (DOT), and wearable brain imaging systems. He is currently accepting PhD students. Research Focus: Dr. Vidal-Rosas leads research in neuroimaging methodologies and brain-computer interfaces. His work emphasizes wearable technologies for clinical and home-based monitoring, with applications spanning from neonatal care to motor rehabilitation. Key research domains include: Development of high-density diffuse optical tomography (HD-DOT) systems Integration of EEG and fNIRS for brain-computer interfaces Real-time processing algorithms for neurofeedback applications Non-invasive monitoring of therapeutic responses in oncology He is currently involved in the Horizon Europe PUREMIND project focused on preventing mental illness through multimodal biomarker analysis. Academic Activities: Actively advises PhD candidates in Computer Science and teaches undergraduate courses including Healthcare Technology Design (ELEC2231) and Digital Control System Design (ELEC3206). His pedagogical research includes developing virtual tools for engineering education. Affiliations: Member of the Digital Health and Biomedical Engineering research group and the Institute for Life Sciences at Southampton.

Sophie Mooreمشاهده پروفایل

استاد

• Global Maternal and Child Nutrition
• Nutritional Interventions in Pregnancy and Early Infancy
• Global Health Nutrition
• +۳ مورد دیگر

Professor Sophie Moore is a Professor of Global Women & Children's Health at King's College London, based in the Department of Women & Children's Health. She holds a Wellcome Trust Senior Research Fellowship (2020-25) and leads research on global maternal and child nutrition, with a focus on micronutrient interventions during critical developmental periods. Her work spans epidemiological studies in rural Gambia, intervention research on infant neurodevelopment, and global health challenges related to food insecurity. She is affiliated with the Faculty of Life Sciences & Medicine and the School of Life Course & Population Sciences. Her research integrates nutritional epidemiology, epigenetics, and global health equity, with projects such as the BRIGHT (Brain Imaging for Global Health) cohort study and the PRECISE network investigating pre-eclampsia determinants. She has collaborated widely across institutions including the London School of Hygiene and Tropical Medicine, the Medical Research Council Unit in The Gambia, and international partners in Africa and Asia. Key contributions include studies on iron supplementation in infancy, maternal dietary diversity, and the role of calcium in pre-eclampsia prevention. Her work emphasizes translational research to bridge gaps between scientific evidence and public health policy, particularly in low-resource settings. Grants and awards include major funding from Wellcome Trust and the Bill & Melinda Gates Foundation. Professor Moore’s research also explores neurodevelopmental outcomes linked to nutritional status, leveraging advanced imaging techniques (fNIRS/EEG) and longitudinal cohort data. She actively engages in global health initiatives addressing food security, maternal-child health disparities, and the impact of environmental factors on early development.

Girija Chettyمشاهده پروفایل

استاد

• Multimodal Systems
• Medical Image Computing
• Computer Vision
• +۷ مورد دیگر

Girija Chetty is a Full Professor in Computing and Information Technology at the University of Canberra's School of Information Technology and Systems. She holds a PhD in Information Sciences and Engineering and has over 35 years of experience in academia and research leadership roles, including Head of Software Engineering and Program Director of ITS courses. Her research focuses on multimodal systems, medical image computing, AI, and data science. She leads a dynamic research group comprising PhD students, postdocs, and international collaborators. Education: PhD in Information Sciences (Australia, 2007), MSc and BSc in Electrical Engineering/Computer Science (India). She has held visiting roles at Deakin University and CSIRO. Research interests span computer vision, pattern recognition, and medical diagnostics, with 200+ publications in top journals/conferences. Her work addresses global challenges via AI-driven solutions in healthcare (e.g., pain assessment systems, malaria diagnostics) and sustainability (SDG impact frameworks). Projects include AI for remote ultrasound imaging and smart farming systems. She actively collaborates with industry and global research institutions. Grants/Projects: 12 funded initiatives including AI for extreme environment healthcare, malaria pathogen detection, and big data-driven population health. Awards: Senior IEEE/Australian Computer Society membership, editorial roles in IEEE/Elsevier journals. Labs/Teams: Leads a multidisciplinary research group focused on medical AI and multimodal systems.

• Developmental Psychology
• Cognitive Neuroscience
• Language Acquisition
• +۴ مورد دیگر

Judit Gervain is a Full Professor at the Department of Developmental and Social Psychology at the University of Padua, Italy, and a CNRS Senior Research Scientist (Directeur de Recherche) at the Integartive Neuroscience and Cognition Center (CNRS & Université Paris Descartes), Paris, France. Her research focuses on early speech perception, language acquisition in monolingual and bilingual infants, and the neural mechanisms underlying language learning. She pioneered studies on newborn speech perception using near-infrared spectroscopy (NIRS), revealing prenatal influences on perceptual abilities and the emergence of grammatical structures in preverbal infants. Education: PhD in Cognitive Neuroscience (2002, SISSA, Trieste), postdoctoral research at the University of British Columbia (2007–2009), and CNRS researcher since 2009. She has authored over 100 peer-reviewed articles in journals like Science Advances , Nature Communications , and Developmental Science . Research Interests: Infant language processing, bilingualism, neuroimaging techniques (fNIRS), and comparing infant learning trajectories to artificial intelligence systems. Her work bridges developmental psychology, neuroscience, and computational linguistics, emphasizing the role of innate biases and environmental input in language acquisition. Her recent studies explore how infants’ learning mechanisms differ from Large Language Models (LLMs), focusing on input requirements, critical periods, and the role of multimodal integration. She also investigates the impact of prenatal auditory experience on neonatal speech perception and the neural foundations of linguistic structure detection. Labs/Teams: Affiliated with the CNRS’s Integartive Neuroscience and Cognition Center and the University of Padua’s developmental psychology group. Serves as associate editor for Developmental Science and Neurophotonics .

Roee Holtzerمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Neurology
• Aging and Mobility
• +۶ مورد دیگر

Roee Holtzer is a Professor at the Ferkauf Graduate School of Psychology and Department of Neurology at Albert Einstein College of Medicine. He holds dual faculty appointments bridging psychology and clinical neurology. His research focuses on brain mechanisms underlying cognitive and motor function in aging and neurological diseases, with emphasis on dual-task walking, prefrontal cortex activation, and cognitive reserve. Dr. Holtzer directs the Clinical Neuropsychology minor and teaches courses like Clinical Neuropsychology I/II and Neuropsychology Research Seminars. Education: MA and PhD from Binghamton University. Postdoctoral training at Columbia University’s Sergievsky Center. Licensed psychologist in NY State. His work integrates neuropsychology, neuroimaging (fNIRS), and clinical trials to develop interventions for mobility and cognition in aging populations. Key research areas include multiple sclerosis, mild cognitive impairment, and the effects of comorbidities like asthma on neurological functioning. Over 100 peer-reviewed publications focus on neural efficiency, physical/cognitive reserve, and interdisciplinary interventions. Active in mentoring graduate students conducting predoctoral projects on topics like music therapy effects, social support, and gender differences in cognitive decline. His lab collaborates with institutions like Montefiore Medical Center and uses advanced tools like functional near-infrared spectroscopy (fNIRS) to study brain-behavior relationships.

Stephanie Knollhoffمشاهده پروفایل

استادیار

• Swallowing Disorders (Dysphagia)
• Head and Neck Cancer Rehabilitation
• Communication Disorders in Cancer Patients
• +۳ مورد دیگر

Stephanie Knollhoff serves as an Assistant Professor in the Department of Speech, Language and Hearing Sciences at the University of Missouri's College of Health Sciences, where she directs the Swallowing and Communication Physiology Exploration (SCoPE) Lab. She teaches graduate courses including Medical Speech-Language Pathology (SLHS 8350), Voice Science and Voice Disorders (SLHS 8225), and Dysphagia (SLHS 8230), while mentoring Honors College students in research. Her academic credentials include a PhD in Speech-Language Pathology from the University of Kansas, a Master of Arts in Speech-Language Pathology from the University of Kansas, and a Bachelor of Science in Communication Sciences and Disorders from Saint Louis University. Dr. Knollhoff's research centers on cancer-related swallowing and communication deficits, with emphasis on head and neck cancer rehabilitation, pediatric dysphagia, and neuroimaging of swallowing physiology using fNIRS. She actively works to improve clinical practice standards and expand access to dysphagia services through education initiatives for current and future professionals. Her work integrates physiological analysis with practical clinical applications to address rehabilitation challenges in oncology settings. Analysis of her 15 most recent publications (2013-2025) reveals a strong trajectory toward pediatric dysphagia education and caregiver experiences in cancer contexts, alongside innovative rehabilitation protocols for head and neck cancer patients. Recent work increasingly focuses on motor imagery therapy for dysphagia and cortical activation mapping during swallowing, while maintaining foundational research in alaryngeal communication and neurodegenerative disease impacts on speech. Dr. Knollhoff actively mentors undergraduate researchers like Rucha Kelkar, whose work examined cancer treatment effects on swallowing physiology. She collaborates on clinical projects improving swallowing rehabilitation participation during radiation therapy and develops protocols to enhance dysphagia service accessibility, particularly for underserved populations. She directs the SCoPE Lab, which investigates swallowing and communication physiology through advanced techniques including fNIRS imaging, articulation pressure measurement, and longitudinal tracking of speech motor changes in cancer and neurodegenerative conditions.

Sean Meehanمشاهده پروفایل

دانشیار

• Sensorimotor Integration
• Motor Learning
• Neurorehabilitation
• +۳ مورد دیگر

Sean Meehan, PhD, serves as an Associate Professor in the Department of Kinesiology and Health Sciences, having joined the department in summer 2018 after previously holding an assistant professorship at the University of Michigan's School of Kinesiology from 2011 to 2018. His academic career focuses on elucidating neural mechanisms underlying skilled motor behavior and sensorimotor integration. Professor Meehan's research program investigates how the brain transforms sensory inputs into precise motor commands, with particular emphasis on circuit-level adaptations during skill acquisition and cognitive modulation through attention allocation. Utilizing transcranial magnetic stimulation (TMS) and electroencephalography (EEG), his work bridges fundamental neuroscience with clinical applications in brain injury rehabilitation, examining mechanistic changes in sensorimotor processing following acquired neurological damage. Analysis of his 2020-2025 publications reveals dominant research trajectories in concussion neurophysiology, neural plasticity in motor circuits, and attention-motor interactions. His studies consistently employ TMS to probe cortical excitability dynamics, with significant contributions to understanding sport-related concussion effects, cerebellar modulation of motor adaptation, and neurodevelopmental aspects of pediatric motor skills, demonstrating strong translational potential for rehabilitation protocols. Information regarding Professor Meehan's student advising responsibilities and external research grant funding was not available in the provided source material.