جست‌وجوی استاد و پژوهشگر

Alain Pumirمشاهده پروفایل

استاد

• Fluid Dynamics
• Turbulence
• Biophysics
• +۳ مورد دیگر

Alain Pumir is a Professor and Research Director at the French National Centre for Scientific Research (CNRS), affiliated with the École Normale Supérieure de Lyon (ENS Lyon) since 2008. He holds an external scientific membership at the Max Planck Institute for Dynamics and Self-Organization (MPIDS) in Göttingen, recognized for his long-term collaboration with the institute's Fluid Physics, Pattern Formation, and Biocomplexity department under Prof. Eberhard Bodenschatz. His research focuses on fluid dynamics, turbulence, and self-organization phenomena, including studies on turbulent shear flows, extreme events in turbulence, and biophysical systems such as ice growth in mixed-phase clouds. He received the Humboldt Research Award and has conducted extended research stays at MPIDS since 2013. Key collaborations involve exploring the interplay between large-scale instabilities and small-scale intermittency in stratified flows, as well as the dynamics of non-spherical particles in turbulent environments. His work bridges theoretical approaches with experimental validations, emphasizing the role of pressure dynamics and inertial effects in fluid systems. Awards: Humboldt Research Award (2013), External Scientific Member of MPIDS (2018) Key Themes: Turbulence universality, fluid-structure interactions, climate-relevant cloud physics

Matthew Kwanمشاهده پروفایل

دانشیار

• Physical Activity Determinants
• Mental Health Promotion
• Developmental Psychology
• +۴ مورد دیگر

Dr. Matthew Kwan is an Associate Professor in the Department of Child and Youth Studies at Brock University and Director of the Infant, Child, and Youth Health Lab. He also serves as Adjunct Professor in Family Medicine at McMaster University. His research program examines determinants of physical activity and health behaviors across developmental stages, with funding from Social Sciences and Humanities Research Council, Canadian Institutes of Health Research, and Rossy Family Foundation. Research interests focus on: Socio-ecological influences on health behaviors Physical activity and mental health relationships Developmental trajectories from childhood to adulthood Physical literacy and motor competence Community-engaged research with vulnerable populations Publication analysis reveals consistent themes in movement behavior measurement, developmental transitions, and intervention design. Recent work emphasizes: Advanced methodologies like ecological momentary assessment Machine learning applications in health research Global health perspectives on physical activity Community-based participatory approaches Dr. Kwan leads multiple funded projects including longitudinal studies on activity patterns and community interventions. The Infant, Child, and Youth Health Lab employs interdisciplinary approaches integrating psychology, behavioral medicine, and population health perspectives.

• Neuroscience
• Sleep Disorders
• Neurodegenerative Diseases
• +۳ مورد دیگر

Dr. Jean-François Gagnon is an Associate Professor in the Department of Psychiatry and Addictology at the University of Montreal's Faculty of Medicine . He holds the prestigious Canada Research Chair on Cognitive Decline in Pathological Aging . His research focuses on neurodegenerative diseases, particularly Parkinson's and dementia, with an emphasis on sleep-related biomarkers and clinical predictors. He has affiliations with leading research institutions, including the CRIUGM and CÉAMS Sleep Medicine Center . Education : He earned his Master’s in Neuropsychology from Université Laval and his PhD in Research and Intervention from UQAM. His postdoctoral training included studies at the Hôpital du Sacré-Cœur and the Institut universitaire de gériatrie de Montréal. Research Interests : His work explores the role of sleep disorders (e.g., REM sleep behavior disorder) as early markers of neurodegeneration. He investigates clinical and neuroimaging features of Parkinson’s and dementia, aiming to improve early diagnosis and understanding of disease progression. Grants & Projects : He leads and co-leads multiple funded projects, including studies on quantitative EEG markers of cholinergic neurodegeneration and the pathophysiology of REM sleep behavior disorder. Key funders include the Canadian Institutes of Health Research (CIHR) and the Weston Foundation. Advising : He has supervised numerous PhD and Master’s students focused on sleep, cognition, and neurodegenerative diseases. His research has contributed to identifying biomarkers and risk factors for Parkinsonism and dementia. Labs & Teams : He is affiliated with the Quebec Parkinson Network (RPQ) and collaborates with multidisciplinary teams studying aging and neurodegenerative disorders.

• Neurodegenerative Diseases
• Alzheimer's Disease
• Parkinson's Disease
• +۵ مورد دیگر

Professor David Brooks is a leading academic at Newcastle University, specializing in neurodegenerative diseases with a focus on Alzheimer’s and Parkinson’s disease. His work integrates advanced neuroimaging techniques like PET and MRI to study molecular, vascular, and synaptic changes in neurodegenerative disorders. He leads multidisciplinary research into biomarker development, disease progression mechanisms, and therapeutic interventions. His research emphasizes the interplay between neuroinflammation, amyloid pathology, and cholinergic dysfunction. Key areas include early detection of Alzheimer’s via cerebral blood flow and amyloid imaging, and understanding Parkinson’s disease heterogeneity through noradrenergic and dopaminergic subtyping. Brooks collaborates extensively with institutions worldwide, contributing to clinical trials like the Cinpanemab study and the ELAD trial investigating GLP-1 analogues for Alzheimer’s. His work also explores exercise’s neuroprotective effects and animal models (e.g., minipigs) for translational research.

• Dementia Research
• Neurodegenerative Diseases
• Neuroimaging
• +۳ مورد دیگر

Dr. Paul Donaghy is a researcher at Newcastle University, specializing in neurodegenerative diseases, particularly dementia with Lewy bodies (DLB) and Alzheimer’s disease (AD). His work focuses on biomarkers, clinical features, and imaging techniques to differentiate between neurodegenerative disorders. He has contributed to studies analyzing brain connectivity, atrophy patterns, and plasma biomarkers to improve diagnostic accuracy and predict disease progression. Key research interests include neuropsychiatric symptoms in prodromal DLB, longitudinal clinical outcomes in mild cognitive impairment (MCI), and the role of multimorbidity in neuropathology. His studies often utilize advanced neuroimaging (e.g., MRI, PET) and biomarker profiling to uncover disease mechanisms. Collaborative projects with clinicians and researchers aim to translate findings into clinical practice, such as developing diagnostic criteria and improving patient management strategies. Dr. Donaghy’s work has addressed challenges in distinguishing DLB from AD, exploring topics like cardiac innervation scintigraphy, cholinergic system degeneration, and polygenic risk factors. He has also investigated the impact of the pandemic on dementia patients and their caregivers, highlighting social inclusion challenges and digital technology applications.

Michael J. Thorpyمشاهده پروفایل

استاد بالینی

• Sleep Medicine
• Narcolepsy
• Obstructive Sleep Apnea
• +۳ مورد دیگر

Michael J. Thorpy, MD, is a Clinical Professor of Neurology at Albert Einstein College of Medicine and Director of the Sleep-Wake Disorders Center at Montefiore Medical Center. He specializes in diagnosing and treating sleep disorders including narcolepsy, sleep apnea, insomnia, and parasomnias. His research focuses on sleep medications, hypersomnias, and sleep disorder management. Dr. Thorpy earned his medical degree from the University of Otago (1973) and completed extensive postgraduate training in neurology and neuroendocrinology across institutions in New Zealand, India, the UK, and the US. He has authored over 100 peer-reviewed articles and 14 books, including seminal works like The Encyclopedia of Sleep and Sleep Disorders and SleepMultiMedia . He has held leadership roles in major sleep medicine organizations: past Chairman of the Sleep Section of the American Academy of Neurology, President of the New York State Society of Sleep Medicine, and founder of the National Narcolepsy Registry. His awards include the Nathaniel Kleitman Award (1993) and the National Sleep Foundation's Lifetime Achievement Award (2012). Dr. Thorpy maintains active clinical, research, and educational roles, appearing frequently in media including New York Times , Washington Post , and television programs to discuss sleep health topics.

Shelby Freedman Harrisمشاهده پروفایل

دانشیار بالینی

• Behavioral Sleep Medicine
• Cognitive Behavioral Therapy (CBT)
• Insomnia Treatment
• +۴ مورد دیگر

Shelby Freedman Harris, Psy.D., is a Clinical Associate Professor in the Department of Neurology and Department of Psychiatry and Behavioral Sciences at Albert Einstein College of Medicine. She serves as Director of the Behavioral Sleep Medicine Program at Montefiore Medical Center's Sleep-Wake Disorders Center. Board certified in Behavioral Sleep Medicine by the American Academy of Sleep Medicine, she specializes in insomnia, parasomnias, narcolepsy, and cognitive behavioral therapy (CBT) for anxiety/depressive disorders. Her research focuses on neuropsychological effects of sleep disorders and behavioral treatments across populations. Dr. Harris holds a doctorate in clinical psychology from Yeshiva University's Ferkauf Graduate School of Psychology, with internship and postdoctoral training at Montefiore Medical Center. She supervises students from the Montefiore Psychology Internship program and contributes to training through the Sleep-Wake Disorders Center Fellowship. Her media engagements include consulting for the New York Times' "Consults" blog, columns for DrOz.com and PsychologyToday.com, and appearances on major networks like ABC and CBS. Her publications span encyclopedic contributions to sleep medicine, journal articles on hypersomnias, parasomnias, and insomnia comorbidities. Research emphasizes sleep-cognition interactions in aging populations and clinical treatment efficacy. Dr. Harris actively collaborates with multidisciplinary teams to advance integrative care approaches for sleep disorders.

• Computer Vision
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Dr. Muhammad Usman Ghani Khan is an academic affiliated with the Department of Computer Science and Engineering at the University of Engineering and Technology, Lahore, Pakistan. His primary research focuses on interdisciplinary areas of computer vision, machine learning, and natural language processing. He completed his PhD at the University of Sheffield, UK, in 2012, where his thesis addressed natural language descriptions for video streams. His research interests span a wide range of topics including video description generation, medical imaging analysis, hate speech detection in multilingual contexts, and applications of deep learning in smart cities and healthcare. Notable contributions include frameworks for Urdu text classification, traffic signal automation systems, and multimodal sleep stage prediction models. Dr. Khan has published extensively in top-tier journals such as IEEE Access, Multimodal Tools and Applications, and Neural Computing & Applications. His work often integrates advanced machine learning techniques with real-world problems, demonstrating impact in both academic and applied domains. Collaborations with institutions like the University of Sheffield (UK) and the German Research Center for Artificial Intelligence (DFKI) highlight his international engagement. His projects frequently address challenges in healthcare technology, cybersecurity, and urban infrastructure, leveraging tools like generative adversarial networks, transformers, and ensemble learning. Despite no explicitly stated awards, his prolific publication record and impactful research indicate significant contributions to his fields of expertise.

• Global Health
• Epidemiology
• Diabetes
• +۵ مورد دیگر

Dr. Unjali Gujral serves as an Assistant Professor in the Hubert Department of Global Health at Emory University's Rollins School of Public Health. A chronic disease epidemiologist with expertise in diabetes and cardiovascular health disparities, she maintains active research collaborations with the MASALA and CARRS studies focused on South Asian populations. Her academic background includes: BA from University of California, Irvine (2003) MPH from Yale University (2010) PhD in Nutrition and Health Science from Emory University (2015) Post-doctoral fellowship completion (2017) Dr. Gujral's research centers on racial/ethnic disparities in diabetes, with emphasis on pathophysiological mechanisms of cardiovascular disease and diabetes etiology in minority and immigrant populations. Her work uniquely bridges social determinants of health with biological pathways, particularly examining cardiometabolic risks in South Asian communities globally. Current investigations explore diabetes subtypes, mortality differentials, and culturally tailored interventions addressing the dual burden of undernutrition and obesity. Analysis of her recent publications reveals dominant trends in South Asian diabetes epidemiology, global cardiometabolic burden assessment, and community-engaged approaches to pandemic-related health disparities. Her work consistently employs large-scale pooled analyses and cohort studies spanning multiple continents. Scientific recognition includes: Fulbright Scholarship (2012) Excellence in Research Award from Emory's Hubert Department of Global Health (2018) Dr. Gujral teaches GH 534 (Diabetes: Global Dis Prev & Cntrl) and contributes to Rollins School of Public Health initiatives. Her research program leverages the MASALA study (Mediators of Atherosclerosis in South Asians Living in America) and CARRS cohort (Center for Cardiometabolic Risk Reduction in South Asia) as primary investigative frameworks, with growing emphasis on community-driven pandemic response models through the Georgia Community Engaged Alliance.

Lidia Alecciمشاهده پروفایل

پژوهشگر

• Wearable Computing
• Affective Computing
• Machine Learning
• +۵ مورد دیگر

Lidia Alecci is a Ph.D. student at the Faculty of Informatics, Università della Svizzera italiana (USI) since October 2021. She holds a double Master’s degree in Informatics from USI and the University of Milano-Bicocca (2021), with a thesis focused on robust sleep behavior recognition using wearable sensors. Her research combines wearable computing, affective computing, and machine learning to address interpersonal variability in physiological and behavioral patterns. Education: Master in Informatics - Double Degree (2019-2021), USI and UniMiB Bachelor in Computer Science (2015-2018), University of Padova Research Interests: Wearable Computing Affective Computing Machine Learning for Healthcare Data Science Awards: Italian finals of international championships in mathematical games (2014, 2015) Experience: Roche Internship (2022-2022): Developed ML pipelines for Huntington's disease symptom prediction Wintech Internship (2018): Built web applications for contact management and campaign analysis Labs/Teams: Silvia Santini’s research group at USI

Margeaux Grayمشاهده پروفایل

عضو هیئت علمی

• Sleep Research
• Nonpharmacologic Interventions
• Sleep and Pain Interactions
• +۵ مورد دیگر

Overview Margeaux Gray is an Assistant Research Professor of Biobehavioral Health at the College of Health and Human Development at Pennsylvania State University. She is affiliated with the Sleep, Health, and Society Collaboratory and the Center for Healthy Aging . Her research focuses on translational sleep science, emphasizing nonpharmacologic interventions to improve sleep quality and continuity. Background and Education B.S. in Neuroscience and Psychology from Dickinson College (Carlisle, PA) Ph.D. in Behavioral Neuroscience from West Virginia University (WVU) Former registered polysomnographic technologist and instructor Research Interests Dr. Gray investigates the interplay between sleep, pain, and attention; characterizes sleep fragmentation's effects on daytime neurobehavioral processes; and explores how sleep influences developmental milestones. She collaborates with sleep industry partners and has conducted translational research in postpartum and pediatric sleep. Labs and Collaborations Member of Dr. Orfeu Buxton and Dr. Anne-Marie Chang’s Sleep, Health, and Society Collaboratory Center for Healthy Aging Prior training at WVU’s Sleep and Sleep Disorders Lab (Hawley E. Montgomery-Downs, Ph.D.), Hearing Perception and Cognition Lab (James W. Lewis, Ph.D.), and Anxiety, Psychophysiology, and Pain Lab (Daniel W. McNeil, Ph.D.) Key Contributions Her work includes developing sleep assessment technologies (e.g., non-contact bedside sensors), analyzing sleep’s impact on cognitive function in aging populations, and evaluating sleep restriction’s effects on attention and metabolism. Current projects emphasize sleep fragmentation’s role in pain modulation and translational sleep interventions.

• Computer Science
• Neuroscience
• Medical Imaging
• +۳ مورد دیگر

Fengyu Cong is a Visiting Professor at the Faculty of Information Technology of the University of Jyväskylä (Finland). His research focuses on interdisciplinary computational neuroscience, biomedical signal processing, and machine learning applications in healthcare. Key contributions include EEG/fMRI analysis for mental health disorders such as depression and autism spectrum disorder, as well as federated learning methods for privacy-sensitive medical data. He has presented at major conferences including the 6th Conference on Mismatch Negativity (2012) and ESCAN 2014 , showcasing work on preattentive facial expression processing in neurological populations. His affiliations include the Engineering and Secure Communications Engineering and Signal Processing groups within his faculty. Research interests span neural signal analysis, multimodal imaging techniques, and AI-driven diagnostics. Notable methodologies include tensor decomposition for fMRI preprocessing, HMM-based sleep stage classification, and federated learning frameworks for distributed healthcare applications. His work bridges computer science and clinical neurology, with publications in top-tier journals addressing topics like vascular cognitive impairment, neural oscillations in autism, and artifact removal in biomedical signals.

Yuzhe Tianمشاهده پروفایل

مدرس پاره‌وقت

• Anomaly Detection
• Industrial Internet of Things (IIoT)
• Sleep Analysis
• +۵ مورد دیگر

Yuzhe Tian is a Part-Time Lecturer at the School of Computing, Macquarie University, within the Faculty of Science and Engineering. His research focuses on interdisciplinary applications of machine learning, including anomaly detection in industrial IoT systems, sleep stage recognition via graph networks, and brain-computer interface (BCI) technologies. He holds a Doctor of Philosophy and has published extensively in top-tier conferences and journals since 2019. Research interests include real-time BCI systems using geometric learning, optimization of neural networks (e.g., model pruning and quantization), and healthcare applications like sleep analysis through graph attention networks. His work bridges computational methods with practical challenges in biomedical engineering and industrial automation. Yuzhe has collaborated on projects leveraging multi-view learning for anomaly detection and swarm intelligence algorithms (e.g., Krill Herd Algorithm). His publications span topics from lightweight BCI frameworks to cybersecurity in IIoT environments, demonstrating a strong focus on both theoretical advancements and real-world implementation.

Kontogianni Meropiمشاهده پروفایل

استاد

• Clinical Nutrition
• Chronic Non-Communicable Diseases
• Metabolic Syndrome
• +۷ مورد دیگر

Professor Meropi Kontogianni is a Clinical Nutrition expert at the Department of Nutrition and Dietetics, Harokopio University. Her work focuses on the prevention and management of nutritional and metabolic complications in chronic diseases, particularly metabolic syndrome, non-communicable diseases, and liver cirrhosis. She holds a PhD (2004) and BSc (1998) from Harokopio University. Her research emphasizes dietary patterns' role in disease prevention, adipokine-inflammation interactions, and malnutrition assessment methodologies. Notable studies include the MIMOSA trial (2021) on Mediterranean diet interventions for sleep apnea and the KIRRHOS series (2019-2020) evaluating malnutrition screening in cirrhosis patients. Publications span clinical trials, dietary guidelines, and biomarker research, with a focus on obesity, sarcopenia, and cancer cachexia. She collaborates internationally on projects like the EORTC Communication Questionnaire validation (2024) and the BIO-STREAM anti-obesity framework. Key areas of interest include Mediterranean diet efficacy, telemedicine applications in chronic disease management, and the implementation of global malnutrition criteria (GLIM) in clinical practice.

• Biomedical Engineering
• Neural Engineering
• Medical Signal Processing
• +۳ مورد دیگر

Asst. Prof. Dr. Shahla Azizi Alikamar is an Assistant Professor in the Department of Electrical and Electronic Engineering at Eastern Mediterranean University (EMU). She is affiliated with the Faculty of Engineering and holds an office in EE 215. Her contact information includes the email shahla.alikamar@emu.edu.tr and telephone number +90 392 630 1440. Dr. Alikamar's academic journey includes a PhD in Medical Physics and Biomedical Engineering (2021), an MS in Biomedical Engineering - Bioelectricity (2012), and a BS in Biomedical Engineering - Bioelectricity (2008), all from unnamed universities. Her research interests focus on biomedical signal processing, neural engineering, and applying machine learning to healthcare diagnostics, particularly in EEG analysis and neuroimaging. She has supervised three graduate theses: an ongoing PhD on a topic unspecified, a 2023 MS thesis titled *Diagnosis of Depression Disease Using Neuroimaging and Deep Learning Tools*, and a 2022 MS thesis on *EEG Sleep Stage Classification and Prediction Using Entropy Feature Extraction*. No scientific awards are listed in the provided materials. Her advising and mentoring activities reflect a focus on interdisciplinary projects at the intersection of electrical engineering and biomedical applications.