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Markus DamianView profile

Professor

• Psycholinguistics
• Bilingualism
• Cognitive Psychology
• +4 more

Professor Markus Damian is a faculty member at the University of Bristol, holding the position of Professor of Psychology of Language within the School of Psychological Science. His research focuses on language production, bilingualism, and cognitive control mechanisms. Damian has expertise in experimental methods such as mouse tracking and ERP studies, and his work often explores phonological and semantic processes in language processing. He has collaborated with scholars like Jeffrey Bowers and Colin Davis, contributing to advancements in understanding lexical competition, bilingual lexicons, and the neural underpinnings of speech planning. Education: M.A. and Ph.D. from Rice University. Research interests include the interplay between orthography and phonology in language production, cognitive control in bilingual speakers, and developmental aspects of speech perception in children with hearing impairments. His publications span over two decades, demonstrating sustained contributions to psycholinguistics and cognitive psychology. Key methodological innovations include the use of mouse-tracking paradigms to study real-time cognitive processes and the development of adaptive tests for assessing vocabulary size. Damian’s work bridges theoretical linguistics with experimental psychology, emphasizing both behavioral and neurophysiological evidence.

Edith KaanView profile

Professor

• Psycholinguistics
• Neurolinguistics
• Second-language acquisition
• +5 more

Edith Kaan is a Professor in the Department of Linguistics at the University of Florida. Her research focuses on psycholinguistics, neurolinguistics, and second-language acquisition, particularly examining sentence processing in bilingual and multilingual populations. She explores prediction mechanisms, code-switching, and adaptation in language comprehension using EEG, eye-tracking, and behavioral methods. Her work investigates how bilinguals manage cognitive control during language switching and how second-language learners adapt to linguistic structures. Kaan co-directs the Brain, Language and Bilingualism Lab and teaches courses such as Statistics for Linguists and Advanced Psycholinguistics. She has published extensively on topics including ERP correlates of syntactic processing, cognitive control in bilingualism, and the neurocognitive basis of language learning. Office hours are available in TUR 4127 or via Zoom, and her lab is located in TUR B122.

• Image and Signal Processing
• Machine Learning
• Computer Vision
• +7 more

Philip Ogunbona is a Professor and Associate Dean (International) at the School of Computing and Information Technology , part of the Faculty of Engineering and Information Sciences at the University of Wollongong . He holds a PhD in Electrical Engineering from Imperial College London (1983–1986). His research focuses on solving real-world problems through image and signal processing , machine learning , and computer vision . Key application areas include human action recognition , medical image processing (e.g., epilepsy seizure detection, diabetic retinopathy screening), digital watermarking , and food security (e.g., crop disease management). He currently supervises research projects such as DeepFake Detection , Image Captioning , and Large Language Model Adaptation for Electronic Health Records . Notable accolades include being a Fellow of the Australian Computer Society and a Senior Member of the IEEE . In 2023, he secured funding for High-End Computational Power for AI, Simulations, and Image Processing in Health and Environmental Research . His work spans theoretical advancements (e.g., statistical shape models) and practical innovations (e.g., contactless vital sign monitoring systems). Recent publications emphasize skeleton-based action recognition , domain adaptation , and convolutional neural networks for medical and environmental applications.

• Short-term/working memory
• Long-term memory
• Semantic knowledge
• +4 more

Dr. Weizhen Xie is an Assistant Professor in the Department of Psychology at the University of Maryland, affiliated with the Brain and Behavior Institute. His research bridges experimental psychology, neurology, and neurosurgery, focusing on cognitive neuroscience of human memory. He holds a PhD in Cognitive Psychology from the University of California, Riverside, and completed postdoctoral training at the National Institute of Neurological Disorders and Stroke (NINDS). Education: PhD in Cognitive Psychology, University of California, Riverside BS, Renmin University of China Research Interests: Dr. Xie investigates memory systems through interdisciplinary approaches, studying short-term/working memory, long-term memory, semantic knowledge, and decision-making. His work emphasizes neurobiological mechanisms using methods like fMRI, EEG/MEG, and mathematical modeling. The ICON Lab he leads explores how memory underpins complex mental processes in healthy and clinical populations. Awards & Funding: Recipient of NIH K99/R00 and NINDS F32 fellowships. Research supported by National Institutes of Health grants. Labs/Teams: Director of the Laboratory for Integrative Cognition and Neuroscience (ICON lab), dedicated to advancing data analysis techniques for behavioral and neural data interpretation.

Steven HowardView profile

Professor

• Child and Adolescent Development
• Educational Psychology
• Early Childhood Education
• +4 more

Professor Steven Howard is a leading academic in developmental psychology and early childhood education at the University of Wollongong's School of Education. He holds an ARC Future Fellowship and is a member of the ARC College of Experts. His research focuses on self-regulation, executive functions, and their implications for school readiness, with a strong emphasis on assessment tools like the Early Years Toolbox, used globally in 65+ countries. He has secured over $65M in research funding from national and international bodies. His academic roles include Professor (2024–present), Associate Professor (2019–2023), and Senior Lecturer (2017–2019). Howard earned his PhD in Developmental Psychology from York University, Canada. He teaches courses in educational psychology and research methods and supervises PhD students in Education and Psychology. His work spans early childhood interventions, digital technology impacts, and global low-income community development. Awards include the Early Career Researcher Prize and multiple teaching nominations. He leads projects like the SPROUTS longitudinal study and the Australian Centre for the Digital Child. His research also addresses refugee children's school transitions and parental technology use effects.

Adeel AbbasiView profile

Assistant Professor

• Machine Learning
• Critical Care Medicine
• Bioinformatics
• +3 more

Adeel Abbasi, MD, ScM, is an Assistant Professor of Medicine in the Division of Pulmonary, Critical Care, and Sleep Medicine at Brown University's Warren Alpert School of Medicine. He also serves as the Associate Medical Director of the Adult Extracorporeal Life Support Program at Rhode Island Hospital. His research focuses on leveraging machine learning and bioinformatics to improve outcomes in critically ill patients undergoing mechanical circulatory support, particularly extracorporeal membrane oxygenation (ECMO). His work is supported by the Parker B. Francis Fellowship (2022-2025), the CardioPulmonary Vascular Biology Center of Biomedical Research Excellence (CPVB COBRE), and the Advance Clinical and Translational Research (Advance-CTR) Program. Dr. Abbasi holds degrees from the University of Rochester (MD, 2007), Brown University (ScM, 2022), and Northwestern University (BA, 2001). His affiliations include the Health Natural Language Processing Laboratory , Brown Pulmonary, Critical Care & Sleep Medicine , and the Brown-Lifespan Center for Digital Health . His research emphasizes predicting complications such as hemorrhage and thrombosis in ECMO patients, using machine learning to analyze large datasets from registries like ELSO. He has contributed to developing predictive models for neurological injury in ECMO patients and optimizing fluid management protocols in septic shock using ultrasound-based scoring systems. Key awards include the Parker B. Francis Fellowship, recognizing his innovative research in pulmonary and critical care medicine. His grants support translational research aimed at bridging bioinformatics and clinical practice to enhance patient care.

Maheen Faisal SiddiquiView profile

Research Fellow

• Developmental Neuroscience
• Neurovascular Coupling
• Neurometabolic Coupling
• +3 more

Dr. Maheen Faisal Siddiqui is a Wellcome Trust Early Career Research Fellow at Birkbeck's Centre for Brain and Cognitive Development. Her research develops integrated neuroimaging methods (bNIRS-EEG) to study neurovascular/metabolic coupling during infant brain development. She pioneers analysis techniques for multi-modal data to characterize social brain specialization and cerebral energy metabolism in typical and atypical development. Her awards include Wellcome Trust and ESRC fellowships recognizing methodological innovations. Public engagement includes founding the Happy Little Minds science communication initiative and co-founding the Diversity in Developmental Science Network.

Joseph SchmidtView profile

Associate Professor

• Attention-Memory Interaction
• Visual Cognition
• Eye Tracking
• +3 more

Joseph Schmidt is an Associate Professor of Psychology at the University of Central Florida, where he directs the Attention and Memory Laboratory. His research integrates eye-tracking and EEG/ERP methodologies to study attention-memory interactions. Key focus areas include: Neural and behavioral correlates of visual working memory Attention guidance in real-world contexts Visual search errors in medical imaging Oculomotor patterns in neurological disorders His work bridges cognitive psychology and neuroscience, examining how memory representations shape attentional selection. Current projects investigate cognitive expectations in visual search, EEG classification methods, and attentional deficits in clinical populations.

Frank MarinoView profile

Professor

• Exercise Physiology
• Thermoregulation
• Hydration Science
• +2 more

Frank Marino is Professor in Medicine and Director of Graduate Programs at Charles Sturt University's School of Rural Medicine. He holds a PhD from Charles Sturt University, MEd (Merit) from University of Sydney, and Specialist Certificate in Neuroscience from University of Melbourne. Research examines thermoregulatory responses during exercise in extreme environments, hydration impacts on cognitive performance, and evolutionary biology of human endurance. Publications integrate neurophysiological, immunological, and anthropological frameworks. Recent work analyzes fatigue induction methods and hydration-neurocognition relationships. Awards include dual Spitfire Memorial Defence Fellowships and research excellence recognition. Editorial roles include Journal of Thermal Biology and Journal of Science and Medicine in Sport.

• services marketing
• tourism
• professional and financial services
• +7 more

Kalipso Karantinou serves as Associate Professor of Marketing at Athens University of Economics and Business (AUEB), holding appointments in the Department of Marketing and Communication within the School of Business. She maintains active teaching responsibilities across undergraduate, postgraduate, and doctoral programs while leading significant research initiatives including an EU-funded project on Managing Digital Transformation. Her academic credentials include: BSc in Communication and Mass Media (valedictorian), National and Kapodistrian University of Athens Masters in Marketing, University of Manchester Postgraduate Certificate of Academic Practice, University of Manchester PhD in Marketing, University of Manchester Dr. Karantinou's research investigates consumer behavior through multiple lenses including services marketing, tourism, and digital transformation. She examines how servicescapes (physical and virtual environments), economic austerity, and neuromarketing techniques shape customer experiences. Her work bridges marketing theory with psychological and socioeconomic perspectives, particularly regarding consumer resilience during crises and the impact of digital innovation on service delivery. Analysis of her 15 most recent publications (2018-2025) reveals three dominant trajectories: (1) austerity-driven consumer adaptation and resilience strategies across European markets, (2) servicescape dynamics in tourism/hospitality contexts using complexity theory, and (3) innovative methodological applications including EEG neuroscience and video-ethnography. Her 2025 complexity theory paper extends foundational servicescape research into nonlinear consumer response modeling. She has received multiple teaching excellence awards and research recognition, including service as Greece's representative to the European Marketing Academy Executive Committee (2013-2019). Her current EU-funded project on digital transformation exemplifies her leadership in connecting academic research with industry applications. Dr. Karantinou actively supervises students at all academic levels while directing a robust research team focused on digital transformation and consumer behavior. Her professional engagement extends to executive training programs for business leaders, translating academic insights into practical business solutions through collaborations with industry partners.

Amedeo D’AngiulliView profile

Professor

• Cognitive Neuroscience
• Developmental Science
• Environmental Risks
• +2 more

Amedeo D’Angiulli is a Professor in Neuroscience at Carleton University, cross-appointed as Lead Scientist at CHEO Research Institute. His NICER Lab conducts multidisciplinary research spanning cognitive neuropsychology, developmental science, and AI/neurorobotics. Research clusters include neurocognitive development in socioeconomic contexts, consciousness studies, environmental health impacts on cognition, and computational neuroscience methods. His teaching covers research methodologies, neuroscience of creativity, and theoretical developmental sciences. Key publications explore sleep impacts on adolescent cognition, music training's neurobehavioral effects, air pollution-related neurological risks, and mental imagery mechanisms. He also investigates haptic perception in blind populations and neuro-robotic modeling.

Bhavin R. ShethView profile

Associate Professor

• Visual Perception
• Cognitive Neuroscience
• Autism Research
• +2 more

Bhavin R. Sheth is Associate Professor in Electrical and Computer Engineering at University of Houston's Cullen College of Engineering, directing the Sheth Lab for cognitive neuroscience research. Research spans visual perception, sleep functions, autism spectrum disorders, mind-body interactions, and neural basis of insight. His work integrates neuroengineering with cognitive science to explore perceptual statistics, cerebral blood flow dynamics, and eye movement patterns. Teaching includes Programming Applications in ECE, Digital Signal Processing, Digital Logic Design, and Introduction to Neuroengineering. Educational background features BS in Computer Science (summa cum laude), MS in Computer Science, MS in Electrical Engineering from University of Southern California, and PhD in Cognitive Neuroscience from MIT.

Shonda BernadinView profile

Associate Professor

• Digital Signal Processing
• Speech Recognition
• Artificial Intelligence
• +7 more

Shonda Bernadin, Ph.D., is an Associate Professor in the Department of Electrical & Computer Engineering at the FAMU-FSU College of Engineering, a joint institution of Florida Agricultural and Mechanical University and Florida State University. She holds a B.S. from Florida A&M University, an M.S. from the University of Florida, and a Ph.D. from Florida State University. Her research spans digital signal processing, speech recognition, artificial intelligence, autonomous vehicles, and engineering education. She directs the Speech Processing and Data Analysis Laboratory (SPADAL) and focuses on broadening STEM participation through K-12 outreach, including ACEE summer camps and CROP-ENG programs. Dr. Bernadin’s work emphasizes engineering education innovation, including evidence-centered assessment design and strategies to improve retention and diversity in engineering. She has authored numerous peer-reviewed publications on topics like neural networks, sensor-based defect detection, and cybersecurity threats in AI systems. Her teaching philosophy prioritizes creating inclusive, effective learning environments through engaging methods and technology integration. Professional activities include leadership in engineering education reform and collaborations with organizations such as ASTERIX to enhance STEM workforce diversity. Her lab’s research often intersects technology development with societal impact, addressing challenges in healthcare, autonomous systems, and additive manufacturing quality control.

Nicholas R. EatonView profile

Professor

• Psychopathology Classification
• Mental Health Disparities
• Quantitative Methods
• +1 more

Dr. Nicholas R. Eaton is Professor and Director of Clinical Training at Stony Brook University, with joint appointments in Psychiatry and Women's, Gender & Sexuality Studies. His research redefines psychopathology classification using data-driven approaches like the Hierarchical Taxonomy of Psychopathology (HiTOP), where he serves on the Executive Board. Key interests include mental health disparities affecting sexual/gender minorities, quantitative methods for nosology, and AI applications in psychology. Current NIH/ESRC-funded projects examine transdiagnostic risk factors across developmental trajectories. Publications demonstrate leadership in dimensional psychiatry, with recent work on EEG biomarkers of internalizing disorders and validation of avoidance measures. Articles consistently advocate for alternatives to traditional diagnostic categories. Awarded the Samuel M. Turner Early Career Award for diversity research, Dr. Eaton supervises doctoral students investigating LGBTQ+ mental health and computational psychiatry. He serves on the DSM Externalizing Disorders Review Committee.

• Biomedical Engineering
• Medical Image Processing
• Health Information Systems
• +3 more

George Matsopoulos is Professor in Biomedical Engineering at the National Technical University of Athens, heading the Biomedical Engineering Laboratory. His research focuses on medical image processing, diagnostic support systems, and health information technologies. With over 300 publications, he develops computational methods for medical data analysis and leads the BIOMIG research group specializing in medical informatics and neuroimaging applications. Primary research areas include multidimensional medical data fusion, digital biosignal processing, telemedicine systems, and visualization techniques. His laboratory utilizes advanced computational tools including ITK, VTK, and CUDA to address clinical challenges in medical imaging and diagnostics.