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Tamar Kodish is an Assistant Professor in Clinical Psychology and Neuroscience at the University of Colorado. Her research focuses on improving access to mental health services for marginalized youth, particularly youth of color, addressing disparities in depression, anxiety, and suicide prevention. She holds a PhD from the University of California Los Angeles (2022). Her work employs implementation science frameworks to study mental health service delivery in healthcare, educational, and digital contexts. Current projects include a text-messaging intervention pilot for college students of color, in collaboration with UCLA’s ALACRITY Center. Future directions emphasize school-based suicide prevention, peer support models, and engagement strategies for underserved youth. Research themes include racial/ethnic disparities in mental health care, digital mental health innovation, and culturally responsive interventions. Methodological strengths lie in mixed methods and community partnerships. No scientific awards are explicitly listed, though her work aligns with equity-focused initiatives. Advising and grants are not detailed in the provided text.

• Youth Mental Health Disparities
• Suicide Prevention
• Implementation Science
• +3 more

Dr. Douglas Lobner is a Research Professor in the Department of Biomedical Sciences at Marquette University, College of Health Sciences. His research focuses on neurodegenerative disease mechanisms, environmental toxin interactions, and dental material toxicity. He investigates how environmental factors like mercury, pesticides, and BMAA interact with genetic predispositions to cause neurodegenerative diseases such as Alzheimer’s, Parkinson’s, and ALS, particularly through the cystine/glutamate transporter (system xc-). His work also explores dental pulp capping materials, emphasizing growth factor-enhanced repair mechanisms and system xc- regulation to prevent root canal procedures. Key collaborations involve studies on glutamate signaling, neurotoxicant synergy, and drug-induced neuroplasticity. Published research includes over 14 studies from 2009–2014, emphasizing system xc- regulation by growth factors, neurotoxin synergies (e.g., methylmercury and BMAA), and dental material toxicity mitigation strategies. His lab contributes to the Neuroscience Collaboratory and Integrative Neuroscience Research Center at Marquette.

• Neurodegenerative Diseases
• Environmental Toxicology
• Neurotoxicology
• +4 more

Donguk Lee is an Assistant Professor in the Department of Audiology and Speech Language Pathology at the University of North Texas. He holds a Ph.D. from the University of Tennessee Health Science Center (2023) and previously worked as an audiologist in clinical and hearing aid settings. He also served as a medic in the South Korean Navy, providing medical support in naval and land-based environments. His research focuses on preventing noise-induced hearing loss through studies of auditory efferent systems, leveraging techniques like otoacoustic emissions and auditory evoked potentials. Dr. Lee’s work addresses both clinical and environmental aspects of hearing conservation. His recent studies explore variability in medial olivocochlear reflex responses to noise exposure and the interplay between efferent unmasking and cortical processing. Earlier work assessed noise levels in stadiums, subways, and other public spaces, linking environmental noise to hearing health risks and public attitudes. He was awarded the 2022 Student Research Grant in Audiology from ASHA for his innovative contributions to hearing loss prevention. His articles span from 2014 to 2023, reflecting a trajectory from hearing aid technology development to advanced auditory physiology and environmental noise policy implications.

• Noise-Induced Hearing Loss
• Auditory Efferent Systems
• Otoacoustic Emissions
• +4 more

Mikkel N. Schmidt is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on statistical modeling, Bayesian methods, and their applications in science and industry. He has held visiting roles at Columbia University (2007) and Cambridge University (2008-2009). His work integrates probabilistic modeling with computational inference to address complex problems in diverse fields such as molecular discovery, optical communication, and brain connectivity analysis. Education highlights include visiting scholar and postdoctoral experiences at top-tier institutions. Research interests span statistical methodology development, machine learning applications, and interdisciplinary problem-solving. Current projects involve Bayesian neural networks for molecular discovery and federated learning optimization. Advising efforts include supervising multiple PhD students in areas like molecular discovery and denoising diffusion models. Notable collaborations involve work on materials science, quantum communication, and medical signal processing. His contributions bridge theoretical advancements with practical industrial applications, emphasizing interdisciplinary innovation.

• Statistical Modeling
• Machine Learning
• Bayesian Methods
• +3 more

Professor Amy Mullens (University of Southern Queensland) is a leading academic in public health, gender studies, and clinical psychology. Her work focuses on sexual and reproductive health, transgender health equity, and healthcare access for marginalized populations, particularly within correctional systems. Key Affiliations : School of Psychology and Wellbeing, Centre for Health Research, Institute for Resilient Regions. Research Themes : Intersectional health disparities, HIV/STI prevention, gender-affirming healthcare, and mental health interventions. Research Trends : Recent publications emphasize digital health tools for STI/HIV risk prediction, transgender health policy, and qualitative analyses of incarceration experiences. She frequently collaborates on systematic reviews and mixed-methods studies addressing health equity. Advising : Supervises 16+ doctoral and master’s students (2021-2025) on topics spanning trauma, health literacy, and sexual health interventions.

• Public Health
• Health Psychology
• Gender Studies
• +7 more

Dr. Yar Muhammad is a Principal Lecturer in Computer Science at the University of Hertfordshire's School of Physics, Engineering & Computer Science. His research develops Brain-Computer Interface applications using AI/ML techniques for healthcare. He holds a PhD in ICT (Tallinn University of Technology) and dual master's degrees. Research Leadership: Supervised PhD students: Nimra Memon (fault-tolerance in web services), Dmytro Zabolotnii (agent behavior prediction), Mahir Gulzar (context-aware modeling) Accepts self-funded PhD candidates in BCI/AI applications Awards: Young Investigator Award (Springer/IFMBE, 2014) Best Paper Award Runner-up (26th ISSC 2015) Professional Recognition: Fellow of Higher Education Academy IEEE Senior Member Editorial board member for multiple journals

• Brain-Computer Interfaces
• Artificial Intelligence
• Machine Learning
• +1 more

Saleh A. Alshebeili is a Professor in the Department of Electrical Engineering at King Saud University's College of Engineering, Riyadh, Saudi Arabia. With over 139 publications spanning from 1991 to 2024, his research demonstrates significant contributions across multiple engineering disciplines. His academic profile shows consistent collaboration with Saudi research institutions and international partners, particularly in communications and signal processing fields. Dr. Alshebeili's research interests span wireless communications, optical networks, radar systems, and biomedical signal processing. His work bridges theoretical signal processing with practical applications in 5G/6G communications, IoT security systems, and healthcare monitoring. The interdisciplinary nature of his research connects electrical engineering with computer science, particularly through machine learning applications for signal analysis and system optimization. His publications demonstrate expertise in both traditional signal processing techniques and emerging AI-driven approaches to engineering problems. Analysis of his recent publications (2021-2024) reveals a strong focus on next-generation communication technologies including 6G systems, optical wavelength conversion, and OAM-SDM communication. Simultaneously, he maintains active research in biomedical applications, particularly EEG signal processing for seizure detection and biometric authentication using physiological signals. His work consistently appears in top IEEE journals including IEEE Access, IEEE Transactions on Wireless Communications, and IEEE Journal of Biomedical and Health Informatics, reflecting the high quality and relevance of his research. Dr. Alshebeili has established extensive collaborations with researchers across King Saud University, particularly with Fathi E. Abd El-Samie (29 co-authored papers), Turky N. Alotaiby (22 papers), and Amr Ragheb (21 papers). These long-term collaborations suggest leadership in research groups focusing on communications systems and biomedical signal processing. His work spans theoretical development, simulation, and experimental validation, as evidenced by publications with 'Experimental Investigation' and 'Experimental Demonstration' in their titles.

• Wireless Communications
• Optical Communications
• Radar Signal Processing
• +6 more

Niko Troje is a Professor at York University, affiliated with the Departments of Psychology, Biology, and Electrical Engineering & Computer Science. He holds cross-appointments and leadership roles, including Director of the BioMotion Lab. His research focuses on perceptual representations, biological motion, and vision science. Education: Ph.D. in Biology (1994) - Albert-Ludwigs Universität B.Sc. in Biology (1990), Physics & Mathematics (1987) - Albert-Ludwigs Universität Research Interests: Troje investigates how the brain processes biological motion, perception of human and animal movement, and applications in virtual reality. His work bridges neuroscience, psychology, and computer science. Key Contributions: Pioneered point-light displays for motion perception, explored gait analysis in mental health, and developed tools for motion capture and analysis (e.g., bmlTUX). Awards: Humboldt Research Prize (2014) NSERC Steacie Fellowship (2008-2009) Canada Research Chair (2003-2013) Grants & Labs: Led funded projects on movement perception, collaborated with institutions like the Max Planck Institute, and directs the BioMotion Lab at York University.

• Vision Science
• Biological Motion Perception
• Cognitive Psychology
• +5 more

Frank E. Garcea, Ph.D., is a Research Assistant Professor in the Department of Neurosurgery and Neuroscience at the University of Rochester School of Medicine and Dentistry. His research focuses on the cognitive and neural mechanisms underlying tool use, apraxia, and stroke recovery. He employs neuropsychological testing, fMRI, and lesion-symptom mapping to study brain injury effects on functional connectivity and action knowledge. Education: Bachelor of Science in Psychology, St. John Fisher College (2006–2010) PhD in Brain and Cognitive Sciences, University of Rochester (2012–2017) Research Interests: Dr. Garcea investigates how brain regions like the parietal cortex and dorsal/ventral streams mediate object manipulation and tool use. His work explores stroke-related disconnection syndromes, motor speech coordination networks, and translational brain mapping to preserve neural function during surgery. He collaborates on projects involving epilepsy patients undergoing electrocorticography to study action-related neural pathways. Labs & Affiliations: Principal Investigator of the Garcea Lab at URMC, focusing on tool use deficits in brain tumor/stroke survivors. Affiliated with the Del Monte Institute for Neuroscience and the Neurobiology & Anatomy Program. His lab integrates neuroimaging, lesion analysis, and clinical care to advance personalized brain mapping strategies.

• Cognitive Neuroscience
• Neuroimaging
• Neurology
• +4 more

Hideyuki Takahashi is an Associate Research Scientist in the Department of Neuroscience at Yale University School of Medicine. He holds a PhD from Waseda University (2005) and has established himself as a prominent researcher in neurodegenerative diseases, particularly focusing on lysosomal biology and protein aggregation mechanisms. Dr. Takahashi's research primarily investigates the role of progranulin, TMEM106B, and other molecular players in neurodegenerative conditions including Alzheimer's disease, frontotemporal dementia, and tauopathies. His work spans multiple approaches from molecular and cellular neuroscience to animal models of disease. His recent publications demonstrate a strong focus on lysosomal dysfunction in neurodegeneration, with particular attention to how TMEM106B interacts with other proteins to influence disease progression. The research trends show increasing emphasis on therapeutic interventions targeting specific molecular pathways involved in protein aggregation and synaptic loss. ORCID: 0009-0004-4969-977X Dr. Takahashi maintains active collaborations with several leading researchers at Yale, most notably with Stephen Strittmatter (with whom he has 16 common publications), as well as Anita Huttner, Anthony Koleske, and Le Zhang. His research program appears well-integrated within Yale's neuroscience community, contributing significantly to our understanding of neurodegenerative disease mechanisms.

• Neuroscience
• Neurodegenerative Diseases
• Alzheimer's Disease
• +3 more

Deqiong Ma is an Assistant Professor in the Department of Genetics at Yale University School of Medicine and Associate Director of the DNA Diagnostic Laboratory. She holds an MD from Tongji Medical University (1991), a PhD from the University of Tasmania (2003), and completed a postdoctoral fellowship at Duke University and a clinical fellowship at Albert Einstein College of Medicine. Her research focuses on genetic and genomic mechanisms underlying autism spectrum disorders, particularly copy number variants (CNVs), structural variation analysis, and clinical diagnostic methodologies. Key research interests include identifying novel genetic risk factors for autism using advanced genomic techniques, such as homozygosity mapping and fine-scale structural variation analysis. Her work bridges clinical genetics and molecular biology, with applications in diagnostic testing and understanding neurodevelopmental disorders. She collaborates extensively on studies involving autism candidate genes (e.g., MBD5, TBL1X) and genomic pathway analysis. Publications emphasize translational research, including diagnostic improvements for pediatric patients and elucidating genetic architecture in autism. She leads efforts in the DNA Diagnostic Lab to integrate genomic data into clinical practice, focusing on regions of homozygosity and uniparental disomy.

• Autism Spectrum Disorders
• Medical Genetics
• Genomic Analysis
• +3 more

Dr. Angelina Vernetti is a Research Scientist at Yale University's Child Study Center, affiliated with the Social and Affective Neuroscience of Autism (SANA) Program. She holds a PhD in Developmental Neuropsychology from Birkbeck, University of London, and completed postdoctoral training at Yale. Her research focuses on social attention, reinforcement learning, and emotional regulation in children with autism, using advanced methodologies like eye-tracking and physiological recordings. Education: PhD in Developmental Neuropsychology, Birkbeck, University of London (2018) MSc in Neurosciences and Neuropsychology, University of Toulouse (2010) BSc in Cell Biology, University of Angers (2008) Research Interests : Dr. Vernetti investigates the neural and behavioral foundations of social difficulties in autism, including social attention mechanisms, emotional regulation abnormalities, and language processing deficits. Her work integrates experimental paradigms with neuroimaging and physiological measures to identify biomarkers for early intervention. Collaborations: She collaborates with prominent researchers like Katarzyna Chawarska and Suzanne Macari, focusing on neurodevelopmental mechanisms and translational research. Her team explores innovative approaches to autism assessment, including live eye-tracking and puppet-based interventions. Labs & Affiliations: Member of the Chawarska Lab and the Center for Brain & Mind Health. Active in training undergraduate, postgraduate, and doctoral students in autism research methodologies.

• Autism Spectrum Disorder
• Developmental Psychology
• Social Attention
• +3 more

Nie Zhenzhao is a distinguished academic and Distinguished Professor of Literature at Zhejiang University, serving as Founding Director of the Institute for Interdisciplinary Studies of World Literatures. He holds leadership roles in multiple national and international scholarly associations, including Vice President of the International Association for Ethical Literary Criticism and Co-Founder of the Chinese/American Association of Poetry and Poetics. His research focuses on comparative literature, ethical criticism, and literary theory, with significant contributions to translation studies. He is a Principal Investigator for major research projects with the National Social Sciences Foundation of China and has received prestigious awards such as the K.C. Wong Fellowship and the Ministry of Education’s Humanities and Social Sciences Awards. Nie leads the National Course for Excellence on foreign literature history and has authored foundational works like Introduction to Ethical Literary Criticism . Editor-in-Chief of Interdisciplinary Studies of Literature and Forum for World Literature Studies Member of the Experts' Panel for China’s National Social Sciences Foundation Recipient of the Central Government Special Annual Stipend since 1993 His research bridges ethical philosophy and literary analysis, emphasizing interdisciplinary approaches to global literature. Recent projects explore oral literature’s cognitive dimensions and the intersection of ethics with narrative structures.

• Comparative Literature
• Ethical Literary Criticism
• Poetry and Poetics
• +3 more

Juan Carlos Cerpa Gilvonio is a Research Fellow at the Oxford Department of Experimental Psychology, University of Oxford. His research focuses on neural circuits in the basal ganglia, their neuromodulation, and decision-making processes. He investigates noradrenergic systems in the prefrontal cortex and corticosteroid effects on memory consolidation in rodents. He contributes to the Neurochemistry, Action and Control research group, exploring interdisciplinary neuroscience topics. His recent publications address noradrenergic innervation patterns and corticosteroid impacts on memory, reflecting his commitment to advancing neurochemical mechanisms understanding.

• Neuroscience
• Neurochemistry
• Decision-Making
• +3 more

Prof. Dr. Eling de Bruin is a Lecturer at the Department of Health Sciences and Technology (D-HEST) at ETH Zurich. His research focuses on developing and evaluating exergame-based interventions targeting neurocognitive disorders, motor-cognitive training for aging populations, and stroke rehabilitation. He leads studies on personalized exergame protocols (e.g., PEMOCS framework) and their impact on cognitive function, gait recovery, and fall prevention. His work integrates wearable sensor technology, biofeedback systems, and clinical assessment tools to improve outcomes for chronic conditions like stroke, diabetes, and sarcopenia. Key areas include exergame design, hybrid training modalities, and biomarker validation (e.g., heart rate variability for neurocognitive screening). His research also explores sports biomechanics in youth athletes and injury prevention strategies for alpine skiers. Collaborative projects involve interdisciplinary teams from rehabilitation medicine, biomedical engineering, and computer science to create user-centered exergame solutions. Current initiatives emphasize home-based interventions and tele-rehabilitation to enhance accessibility for older adults and long-term care residents. Methodological contributions include validation of motor-cognitive assessment systems using virtual reality and inertial measurement units.

• Health Sciences
• Gerontology
• Neurocognitive Disorders
• +3 more