Find Academic Supervisors

• Medical Image Processing
• Machine Learning
• Neuroscience
• +4 more

Ho Sung Kim is an Associate Research Professor of Neurology at the University of Southern California's Keck School of Medicine, working with the USC-INI (USC Institute for Neuroimaging and Informatics) and USC-LONI (Laboratory of Neuro Imaging). His research spans an interdisciplinary cross-section of Medical Image Processing, Machine Learning, and Neuroscience covering clinical neurology and neuropsychiatry. Dr. Kim's research focuses on three primary domains: 1) Prediction of neurodevelopmental outcomes in neonates with clinical conditions such as preterm birth and congenital heart disease; 2) Neuroimaging data quality controls through implementation of the LONI-QC system; and 3) Prediction of brain age and accelerated aging due to neurodegeneration using deep learning approaches. His work applies advanced analytic frameworks including cortical morphometry, voxel-based morphometry, and structural network analysis to assess brain structure in both healthy and pathological conditions. His research portfolio demonstrates consistent focus on brain imaging analysis techniques applied to diverse neurological conditions including stroke, epilepsy, dementia, sleep disorders, and hearing impairment. The most recent publications show increasing integration of deep learning methods with traditional neuroimaging approaches to develop more accurate predictive models for clinical outcomes. Baxter Foundation Faculty Fellowship Award (2017-2018) ISMRM Young Investigator Award (2016) Banting Postdoctoral Fellowships (2015-2017) FRSQ Post-doctoral fellowship (2014-2016) Sleep Research Society Abstract Excellence Award (2013) Dr. Kim leads research projects that analyze BIG DATA of brain imaging to better understand mechanisms involved in various neurological diseases. His work with the LONI-QC system provides valuable tools for the broader neuroimaging community. Current research directions include developing convolutional neural network-based models to estimate brain age and determine risk scores for neurodegenerative diseases, with particular attention to how these models can be translated to clinical applications for early intervention. At USC-INI and USC-LONI, Dr. Kim's team continues to expand their techniques to analyze large-scale brain imaging datasets, working at the intersection of computational methods and clinical neuroscience to address fundamental questions about brain structure, function, and pathology across the lifespan.

• Sleep Research
• Lucid Dreaming
• Memory Consolidation
• +4 more

Dr. Martin Dresler is an Associate Professor at Radboud University, Netherlands, leading the Donders Sleep & Memory Lab at the Donders Institute for Brain, Cognition and Behaviour. His research focuses on the functions of sleep, lucid dreaming, and brain plasticity. He investigates how sleep impacts memory consolidation, cognitive processes, and neurological conditions like nightmare disorder. Dresler’s work combines neuroimaging (EEG/fMRI), wearable technologies, and citizen neuroscience to study sleep dynamics and dream mechanisms. His lab develops open-source tools for sleep research and explores applications of lucid dreaming in clinical settings. Research interests include sleep neurophysiology, dream engineering, and the neural basis of exceptional memory. He collaborates internationally on large-scale studies, such as multi-center lucid dreaming induction trials. His contributions bridge basic science and translational research, emphasizing open science practices and accessible neurotechnology. Key achievements include pioneering real-time dream communication during REM sleep and advancing methodologies for sleep stage classification using wearable EEG devices. Dresler actively advocates for reform in research funding structures and promotes interdisciplinary approaches to understanding human cognition.

Sylvia VilleneuveView profile

Associate Professor

• Alzheimer's Disease
• Neuroimaging
• Aging
• +4 more

Sylvia Villeneuve is an Associate Professor in the Department of Psychiatry at McGill University and holds the Canada Research Chair in Early Detection of Alzheimer’s Disease (Tier 2). She leads the Multimodal imaging of the aging brain lab at the Douglas Research Centre, affiliated with the Aging, Cognition, and Alzheimer’s Disease theme-based group. Her research focuses on using MRI and PET neuroimaging to identify cerebral markers for early Alzheimer’s disease detection, study disease mechanisms, and assess risk/protective factors like vascular health and nutrition. Education: PhD from Université de Montréal (2011), followed by postdoctoral fellowships at UC Berkeley (2011–2014) and Northwestern University (2014–2015). She joined McGill in 2015 and is a member of the Ordre des Psychologues du Québec. Research Interests : Alzheimer’s early detection, multimodal neuroimaging (MRI/PET), biomarker development, vascular-cognitive interactions, and preclinical disease progression. Her lab integrates structural/functional imaging, amyloid/tau PET, neuropsychological testing, and vascular assessments to track disease trajectories. Key Achievements : Over 40 peer-reviewed publications, including high-impact studies in Brain and JAMA Neurology . Recognized with awards such as the Human Amyloid Imaging Young Investigator Award (2014) and CIHR Brain Star Award (2012). Leads the PREVENT-AD Cohort and recent grants include Weston funding for sleep-Alzheimer’s links (2024). Team : Supervises graduate students Alexa Pichet Binette and Jacob Vogel. Collaborates on initiatives like the Stop-AD Centre (FRQ-funded) and SCARF2 biomarker studies.

Briana TaylorView profile

Academic

• Sleep and Circadian Science
• Neurodevelopmental Disorders
• Human Subject-Oriented Research Methodology

Dr. Briana Taylor is a Research Assistant Professor at the Roux Institute and in the Department of Psychology at Northeastern University. Her research focuses on leveraging modifiable features of sleep and circadian rhythms to improve daytime functioning, emphasizing rhythm stability and alignment in neurodevelopmental disorders like autism. She earned her PhD in Biological and Health Psychology from the University of Pittsburgh and completed postdoctoral training at MaineHealth. Her work utilizes non-invasive, 24-hour ambulatory tools to enhance ecological validity in sleep science, particularly for populations unable to tolerate traditional methodologies. Current projects investigate circadian phase mechanisms in autism-related behaviors and develop computational approaches for sleep data analysis. Dr. Taylor received the Pathway to Independence Award from the NICHD during her postdoctoral fellowship. She is an active member of the Sleep Research Society and the International Society for Autism Research.

• Neuroscience
• Neuroimaging
• Molecular Biology
• +3 more

Dr. Tina Kroll is a researcher at the Institute of Neuroscience and Medicine (INM-2) at the Research Center Jülich GmbH. Her work focuses on neuroimaging, particularly positron emission tomography (PET), to study neurodegenerative diseases like Alzheimer’s, adenosine receptor dynamics, and the effects of sleep deprivation on brain function. She investigates synaptic density, molecular pathology quantification, and the interplay between sleep architecture and neurodegenerative processes. Key projects include developing novel PET-derived biomarkers for Alzheimer’s (e.g., spatial extent analysis of pathology), optimizing awake PET methodologies in rodents, and exploring sex differences in synaptic density measurement. Her research integrates genetics, neurophysiology, and advanced imaging techniques to understand brain mechanisms in health and disease. Collaborations span neurology, psychiatry, and computational biology, with a focus on translating findings into clinical staging models (e.g., T-POT cohort for tau propagation). Technical contributions include enhancing PET/MRI image quality with deep learning, improving motion correction in animal PET studies, and validating radiotracer applications for adenosine receptors. Her work bridges preclinical models and clinical applications, addressing challenges in neuroimaging accuracy and translational research.

• Control Systems
• Biomedical Engineering
• Signal Processing
• +5 more

Paul Wen is a Professor at the University of Southern Queensland, Australia, affiliated with the School of Engineering. He holds dual PhDs in Electrical and Electronic Engineering (Huazhong University of Science and Technology) and Biomedical Engineering (Flinders University). His research focuses on control systems, biomedical engineering, signal processing, brain modeling, pattern recognition, and machine learning. He has extensive expertise in intelligent control systems, EEG-based diagnostics, and neuromodulation technologies. Dr. Wen has supervised numerous PhD and Master’s students, with current and completed research projects including real-time epilepsy seizure detection, depth of anesthesia assessment, and sleep stage classification using advanced signal processing and deep learning techniques. He has also contributed to numerical simulations of brain networks and transcranial focused ultrasound stimulation effects. His work spans interdisciplinary applications in healthcare technology, including EEG-based mental health monitoring, schizophrenia detection, and alcoholism identification. He has published over 100 peer-reviewed articles, with a focus on computational neuroscience and biomedical signal analysis. Professional memberships include IEEE and the Chinese Medical Engineering Society.

• Biomedical Signal Processing
• Neuroscience
• Artificial Intelligence
• +12 more

Gabriella Olmo is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where she also serves as a member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab. Her academic and research activities are centered on biomedical signal processing, neuroscience, and artificial intelligence, with a strong emphasis on healthcare applications. She is actively involved in doctoral education, supervising PhD candidates in Computer and Systems Engineering, Artificial Intelligence, and Biomedical Engineering, and has contributed to doctoral programs at both the Polytechnic University of Turin and the University of Turin. Her research interests include biomedical signal processing , neuroscience , artificial intelligence , telecommunications , and digital health , with applications in Parkinson’s disease, sleep disorders, neonatal monitoring, and stress assessment. She leads several major research initiatives funded by national and European programs, including PNRR, EU Horizon Europe, and private foundations, focusing on wearable technologies, AI-driven diagnostics, and telemedicine. Her recent publications demonstrate a consistent trend in developing AI-powered, non-invasive solutions for monitoring neurodegenerative and sleep disorders using wearable sensors and signal processing. These works span topics such as freezing of gait detection, REM sleep behavior disorder, neonatal pain assessment, and deep brain stimulation effects, reflecting a strong interdisciplinary focus on clinical translation of engineering innovations. She has led or managed numerous competitive research projects, including OMNIA-PARK, PERSIMMON, S-CoDe, and NODES, and holds patents in distributed arithmetic coding and video storage. Her leadership roles as Scientific Director and Contractual Manager highlight her active engagement in both academic and applied research. She advises a large cohort of PhD students working on AI in healthcare, computer vision, and biomedical signal analysis. Her teaching portfolio includes courses in Signal Analysis, Telemedicine Technologies, Artificial Intelligence in Medicine, and Machine Learning in Healthcare, across undergraduate, master's, and doctoral levels. She is a key member of the SMILIES research group, which focuses on resilient computing architectures for life sciences, and collaborates with healthcare institutions such as the Orfanelle Nursing Home on geriatric frailty monitoring.

• Sleep Neuroscience
• Neurobiology
• Sleep Medicine
• +3 more

Dr. Lukas B. Krone is a Sir Henry Wellcome Fellow at the University of Oxford, with affiliations at Merton College and international collaborations at the Universities of Bern (CH) and Wisconsin-Madison (USA). He works in the Department of Physiology, Anatomy and Genetics , focusing on sleep neurobiology and cortical regulation of sleep-wake transitions . University of Würzburg (preclinical medicine, 99.9% percentile) University of Freiburg (MD, first-class medical degree) University of Oxford (MSc in Neuroscience, DPhil in Sleep Regulation) Dr. Krone's research investigates corticothalamic interactions , sleep homeostasis , and neurotherapeutic interventions for sleep disorders. His work combines animal models with clinical sleep studies , challenging subcortical-centric sleep regulation theories. Recent publications cover non-invasive brain stimulation , cortical sleep circuits , and sleep-mental health interactions . He has received multiple early investigator awards from international sleep societies and competitive scholarships from Oxford, Bavaria, and the German academic foundation Studienstiftung. Sherrington Prize in Neuroscience (2021) Sir Henry Wellcome Postdoctoral Fellowship Goodger and Schorstein Scholarship Mann Senior Scholarship Early Investigator Awards (German/European/World Sleep Societies) Dr. Krone actively engages in science communication through The Conversation articles and public lectures, while pursuing astronaut training with the European Space Agency for space-based sleep research.

Ralf SeepoldView profile

Professor

• Biomedical Engineering
• Biosignal Processing & Analytics
• Sleep Disorders and Sleep Medicine
• +7 more

Prof. Ralf Seepold is a Professor in the Faculty of Computer Science at Konstanz University of Applied Sciences, leading the Professorship of Ubiquitous Computing. He serves as the contact person for the Automotive and Information Technology degree programs and the newly established Intelligent Mobility Systems program since 2022. His primary affiliations include the Department of Ubiquitous Computing, focusing on interdisciplinary research in healthcare technology and smart systems. Prof. Seepold's research expertise spans biomedical engineering, biosignal processing (ECG, ballistocardiogram), sleep medicine (sleep disorders, sleep apnea detection), telemedicine, and ambient assisted living solutions. His work integrates wearable sensors, machine learning, and IoT technologies to develop non-invasive healthcare systems for home and clinical environments. Notable contributions include: Development of smart sleep monitoring systems using accelerometer-based sensors AI-driven diagnostics for sleep disorders and stress analysis Hybrid energy harvesting systems for medical wearables Conceptual frameworks for E-health platforms and digital CBT-I tools His academic memberships include IEEE Senior Member (Engineering in Medicine and Biology Society), German Society for Sleep Research & Medicine (DGSM), and Smart Home & Living Baden-Württemberg.

• Sleep Neuroscience
• Tinnitus Research
• Cerebral Cortex Circuitry
• +3 more

Linus Milinski is a Postdoctoral Research Scientist at the University of Oxford's Department of Physiology, Anatomy and Genetics (DPAG), affiliated with both the Molnar Group and Vyazovskiy Group. His research investigates cortical circuitry's role in sleep regulation and its interaction with phantom auditory perceptions like tinnitus, utilizing genetic manipulation, electrophysiological recordings, and computational analysis. His academic journey includes a DPhil in tinnitus and sleep research from Oxford supervised by Victoria Bajo-Lorenzana, Vladyslav Vyazovskiy, and Fernando Nodal; an MSc project at the Max-Planck-Institute for Experimental Medicine under Livia de Hoz; and a BSc in Biology from Georg-August University Göttingen. Milinski's work bridges fundamental neuroscience with clinical applications, focusing on how waking experiences modulate sleep pressure and how phantom sounds disrupt sleep architecture. His methodology integrates cross-species approaches from ferret tinnitus models to rodent behavioral paradigms, revealing meaning-dependent sound processing mechanisms during sleep. Recent publications demonstrate consistent focus on neural mechanisms of sleep disruption by auditory stimuli, particularly tinnitus, alongside computational tool development for sleep analysis. This research trajectory connects basic cortical physiology with translational applications for sleep and auditory disorders. Funded by Action on Hearing Loss for tinnitus research, Milinski actively contributes to science communication as editor of The Oxford Scientist and Events Lead for research.careers.org. He teaches neuroscience at Balliol College Oxford and the Oxford MSc Sleep Medicine course, extending his expertise to academic instruction and public engagement. As part of DPAG—ranked #1 globally for Anatomy & Physiology—Milinski collaborates within Oxford's leading neuroscience ecosystem, contributing to the department's mission of reassembling physiological processes across molecular, cellular, and systems levels while interfacing with translational medicine initiatives.

• Electroencephalography (EEG)
• Sleep
• Child Health
• +4 more

Dr. Scott Coussens is a Researcher at the University of South Australia (UniSA), affiliated with the UniSA Justice & Society school and the Cognitive Ageing and Impairment Neurosciences Laboratory. He holds a PhD and serves as a Research Degree Supervisor. His primary role is Manager of Technical Services within the Justice & Society unit, bridging technical expertise with academic research. Dr. Coussens specializes in Electroencephalography (EEG), sleep science, child health, and cognitive neuroscience. His work spans pediatric sleep patterns, neurocognitive outcomes of sleep disorders, and the impact of vision impairment on mental health. Research Interests: Dr. Coussens focuses on EEG analysis, sleep physiology, and neurological vulnerabilities in aging populations. His studies investigate sleep-spindle dynamics, delirium prediction in postoperative settings, and the effects of sleep deprivation on adolescent cognition. He also explores how environmental factors (e.g., ceiling heights) influence cognitive performance in academic settings. Collaborations include the Behaviour-Brain-Body Research Centre and the Centre for Cognitive and Systems Neuroscience. Key Projects: He has contributed to systematic reviews on pediatric sleep actigraphy, longitudinal studies on cognitive recovery post-adenotonsillectomy, and EEG-based assessments of delirium vulnerability. Recent work includes analyzing font disfluency effects on children’s reading and simulating age-related macular degeneration to study psychological impacts. Publications: Dr. Coussens has authored/co-authored over 25 peer-reviewed articles, including high-impact studies in Journal of Neuroscience , Sleep Medicine , and Brain Communications . His research emphasizes translational applications, such as improving sleep disorder management and enhancing educational environments for optimal cognitive function.

Philip TerrillView profile

Associate Professor

• Biomedical Engineering
• Sleep Medicine
• Respiratory Physiology
• +4 more

Associate Professor Philip Terrill is an academic in the School of Electrical Engineering and Computer Science at the University of Queensland. He holds the title of Discipline Leader in Imaging, Sensing and Biomedical Engineering, and serves as Deputy Associate Dean Academic (First Year) in the Faculty of Engineering, Architecture and Information Technology since 2019. He earned his PhD in Biomedical Engineering (2011) and BEng (Honours) from the University of Queensland. His research focuses on bridging clinical physiology and biomedical engineering, particularly in respiratory and sleep medicine. Key areas include developing novel diagnostic tools (e.g., electronic instrumentation, signal processing) for pediatric and adult sleep disorders, and mathematical modeling of physiological systems. Specific themes include: Quantifying ventilatory control mechanisms in obstructive sleep apnoea Designing posture-monitoring systems for sleep apnoea severity assessment Actigraphy systems for pediatric sleep analysis Cardio-respiratory stability in preterm neonates Recent work emphasizes non-invasive assessment of respiratory instability, loop gain analysis, and translational research to clinical settings. He has collaborated widely, publishing in journals like Journal of Clinical Sleep Medicine and CHEST , and presented at international conferences such as the American Thoracic Society meetings. His teaching roles include academic leadership in engineering education and curriculum development, with a focus on improving student engagement and conceptual understanding.

Kim DremstrupView profile

Professor

• Biomedical Engineering
• Brain-Computer Interfaces
• EEG Analysis
• +7 more

Kim Dremstrup is Head of Department at the Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Denmark. He is a leading researcher in biomedical engineering with a focus on brain-computer interfaces (BCI), EEG analysis, sleep research, and rehabilitation technology. He has played a pivotal role in establishing BCI and sleep research at AAU and leads the Aalborg BCI group, recognized internationally for early applications in stroke, spinal cord injury, and ALS rehabilitation. PhD in Computerized Sleep Analysis (1993) MSc in Biomedical Engineering (1984) His research centers on decoding brain signals for clinical applications, with major contributions including the invention of the Nightingale Automatic Sleep Analyzer and co-invention of the EDF bio-signal format used globally. His work enables assistive technologies for severely disabled individuals, particularly through hybrid control systems integrating brain and tongue signals. He is also involved in telerehabilitation and neonatal care technologies. Recent publications highlight advancements in error-related potential detection in stroke and motor disabilities, hybrid BCI-tongue control for ALS, and assistive robotics. His work spans neuroscience, biomedical engineering, robotics, and clinical medicine, with a strong translational focus. Inventor of the Nightingale Sleep Analyzer Co-inventor of EDF bio-signal format President, Danish MedTech Society (DMTS) Danish representative in IFMBE Chairman, Den Nordjyske Trivselsfond He actively supervises PhD students and participates in multiple research projects, including assistive robotics and multimodal control systems. He is also engaged in public discourse through media contributions on digital health and personalized medicine. He leads the Center for Rehabilitation Robotics and contributes to UN Sustainable Development Goals in health and well-being.

Claire MorinView profile

Senior Lecturer

• Sleep Analysis
• Cognitive Frailty
• Biomechanics
• +3 more

Claire Morin is a Senior Lecturer at Aix-Marseille University , affiliated with the Faculty of Medicine. Her research spans interdisciplinary domains including sleep analysis, occupational health, and biomechanics of biological tissues. Key Collaborations: Partnerships with Asma Gasmi, Vincent Augusto, and Stéphane Avril in sleep analysis and cognitive frailty studies. Legal Research: Contributions to occupational-environmental risk frameworks and social security law in Droit Social and Gazette du Palais . Research Interests include: Sleep and Cognitive Frailty: Developing non-intrusive connected bed technologies for sleep quality monitoring and early frailty detection in elderly populations. Arterial Mechanics: Investigating collagen fiber kinematics in carotid arteries using multiphoton microscopy and Fourier-based methods, challenging affine deformation theories. Therapeutic Education: Evaluating group therapeutic education programs for schizophrenia patients to improve medication adherence and functional remission. Scientific Trends reflect a focus on deep learning for health data, multiscale modeling of tissues, and integrating legal frameworks into occupational risk management. Her work bridges clinical applications, computational methods, and policy implications.

Vichaya ArunthariView profile

Academic

• Sleep Medicine
• Obstructive Sleep Apnea
• Hypoglossal Nerve Stimulation
• +4 more

Vichaya Arunthari, M.D. , is an Assistant Professor of Medicine at the Mayo Clinic College of Medicine and Science , serving as a Consultant in the Division of Pulmonary, Allergy and Sleep Medicine within the Department of Internal Medicine . Based in Jacksonville, Florida , Dr. Arunthari focuses on clinical research in sleep medicine and pulmonary disorders. Academic Affiliation: Mayo Clinic College of Medicine and Science Professional Focus: Sleep apnea, telehealth applications, and pulmonary hypertension Notable Achievements: Recipient of the Pulmonary Hypertension Association Fellows Scholarship Award in 2010 Research Interests Dr. Arunthari investigates factors predicting outcomes in hypoglossal nerve stimulation therapy for obstructive sleep apnea, comparing in-person vs. telehealth delivery of cognitive behavior therapy for insomnia . His work emphasizes patient selection criteria and telehealth efficacy in sleep medicine. Education Fellow - Critical Care Medicine (2011), Mayo Graduate School of Medicine Research Assistant (2009), Mayo Graduate School of Medicine Fellow - Sleep Medicine (2009), Mayo Graduate School of Medicine Fellow - Pulmonary Medicine (2008), Mayo Graduate School of Medicine Resident - Pulmonary Diseases (2008), Mayo School of Graduate Medical Education Resident - Internal Medicine (2006), University of Illinois MD (1999), Prince of Songkla University Scientific Awards Pulmonary Hypertension Association Fellows Scholarship Award (2010) Resident of the Year Award for Humanitarianism (2006) Professional Memberships Dr. Arunthari is actively involved in the American Academy of Sleep Medicine , American Thoracic Society , and American College of Chest Physicians , contributing to advancements in sleep and pulmonary medicine.