جست‌وجوی استاد و پژوهشگر

Sarah S. Lamمشاهده پروفایل

استاد

• System modeling
• Simulation
• Business analytics
• +۹ مورد دیگر

Sarah S. Lam is a Professor of Industrial and Systems Engineering and serves as Graduate Director at the School of Systems Science and Industrial Engineering, Binghamton University. She also holds the role of Assistant Director for Systems Analysis and Modeling at the Watson Institute for Systems Excellence. Her expertise spans system modeling, simulation, and optimization using computational intelligence techniques such as neural networks, meta-heuristics, fuzzy logic, and stochastic simulation. Education: MS from University of Delaware PhD from University of Pittsburgh Her research focuses on neural networks, evolutionary optimization, machine learning, and system modeling and optimization. She actively contributes to fields like business analytics, medical informatics, and health systems. Awards: Chancellor's Award for Excellence in Teaching (2012) Dr. Lam’s work integrates probability and statistical methods (design of experiments, regression, ANOVA, PCA) with innovative computational approaches to solve complex engineering and healthcare challenges.

Nikitas Karanikolasمشاهده پروفایل

استاد

• Natural Language Processing and Understanding
• Computational Linguistics
• Computational Phonology
• +۷ مورد دیگر

Nikitas Karanikolas serves as Professor in the Department of Informatics and Computer Engineering at the University of West Attica since March 2018, following a distinguished career progression from Assistant Professor (2004) to Associate Professor (2010) and Professor (2014) at the Technological Educational Institute of Athens. His professional trajectory includes significant roles as Systems Head of TEI Athens Library (1996-1997) and Chief of Informatics at Aretaieio University Hospital (1997-2004), alongside leadership positions in the Greek Computer Society as Board Member (2004-2006) and Secretary General (2006-2008). His academic foundation includes: Bachelor's in Statistics and Informatics from Athens University of Economics and Business (1988) PhD in Applied Informatics from Athens University of Economics and Business (1994) with thesis "Technological and Linguistic approaches in Natural Language Understanding" Dr. Karanikolas maintains an exceptionally broad research portfolio spanning Natural Language Processing , Computational Linguistics , Medical Informatics , and Green Energy systems. His work consistently bridges theoretical computational frameworks with practical healthcare applications, particularly evident in recent dementia care technologies and Greek language processing systems. The interdisciplinary nature of his research connects computational phonology with medical diagnostics and e-government applications. Analysis of his 15 most recent publications reveals a pronounced shift toward AI-driven healthcare solutions (particularly dementia patient monitoring), multilingual NLP systems (Greek and Polish), and urban safety applications . His work demonstrates consistent methodology development in ontological representations and multimodal fusion techniques, with increasing emphasis on real-world clinical and governmental implementations since 2023. No scientific awards were documented in the source materials. With 16 journal papers, 68 conference publications, and six authoritative Greek university textbooks, Dr. Karanikolas maintains an active research trajectory. His advising capacity is evidenced through extensive publication mentorship, particularly in medical informatics and NLP projects. While specific grant details are unavailable, his hospital information system implementations and textbook authorship suggest successful research funding acquisition. Current research activities focus on multimodal aggression prediction systems for dementia care, Greek language ontological frameworks, and urban navigation safety applications, primarily conducted through the University of West Attica's informatics infrastructure.

• Disability Health
• Digital Health Technologies
• Visual Impairment Research
• +۵ مورد دیگر

Soyoung Choi is an Assistant Professor in the Department of Kinesiology and Community Health at the University of Illinois. She holds affiliations with the Carl R. Woese Institute for Genomic Biology and the Beckman Institute for Advanced Science and Technology. Her research focuses on improving healthcare accessibility for individuals with visual impairments through digital health technologies, physical activity interventions, and inclusive design strategies. Key research areas include mHealth accessibility for blind users, sleep health in visually impaired populations, and participatory design of health interventions. She employs both quantitative and qualitative methods, including scoping reviews and participatory action research. Her work addresses disparities in health technology access and promotes equitable health outcomes for disabled individuals. Choi collaborates across disciplines to advance understanding of disability health, digital health adoption barriers, and aging with visual impairments. Her research has been published in journals such as Adapted Physical Activity Quarterly , Journal of American College Health , and JMIR Formative Research .

• Biomedical Informatics
• Public Health Informatics
• Clinical Research Informatics
• +۶ مورد دیگر

Professor Adam Dunn is a leading academic in Biomedical Informatics and Digital Health at The University of Sydney , where he established the Discipline of Biomedical Informatics and Digital Health in 2020. With nearly 20 years of experience, his work integrates machine learning , natural language processing , and computational social science to address challenges in public health , clinical epidemiology , and evidence synthesis . His research programs focus on: (1) improving health information access and trust, (2) analyzing misinformation uptake via digital traces, and (3) developing AI tools for systematic review efficiency. Current projects include generative AI applications in patient discharge instructions , fairness in multimodal health AI , and infodemic burden measurement toolkits for WHO. Recent publications span clinical NLP , vaccine credibility , and social media surveillance . Awards include global recognition in medical informatics and editorial leadership roles at npj Digital Public Health and npj Digital Medicine. He has supervised over 15 PhD scholars and served on NHMRC and MRFF grant review panels. Key Projects: WHO Infodemic Toolkit, NLM R01 grant on ClinicalTrials.gov integration Expertise: AI in health, systematic review methodology, health information trust

Taran Raiمشاهده پروفایل

پژوهشگر

• Computational Pathology
• Deep Learning
• Digital Pathology
• +۳ مورد دیگر

Dr. Taran Rai is a Researcher at the University of Surrey, affiliated with the Centre for Vision, Speech and Signal Processing (CVSSP) and the School of Veterinary Medicine. His work focuses on computational pathology, deep learning for medical imaging, and applying AI to veterinary medicine. Rai holds a PhD and has contributed to advancements in necrosis and mitosis detection in canine tumors, leveraging CNNs and digital pathology. His research interests include AI-driven diagnostic tools, social media listening for health insights, and optimizing neural networks for medical applications. He has published extensively on topics like synthetic histopathology data evaluation, diffusion models, and adaptive thresholding methods in pathology. Rai's recent work explores the integration of large language models with medical imaging (e.g., the IPATH dataset) and addresses challenges in veterinary healthcare through social media data. His studies often bridge computational methods with real-world clinical needs, aiming to improve diagnostic accuracy and patient care.

Jing Zhangمشاهده پروفایل

استادیار

• Genomics
• Computational Biology
• Biomedical Informatics
• +۶ مورد دیگر

Dr. Jing Zhang is an Assistant Professor in the Department of Computer Science at the University of California, Irvine (UCI), affiliated with the Donald Bren School of Information and Computer Sciences. She holds a Ph.D. in Electrical Engineering and Molecular/Computational Biology from the University of Southern California (2012) and completed postdoctoral training in Computational Biology at Yale University. Her research focuses on developing computational methods to unravel gene regulation mechanisms and link genetic variations to diseases, particularly in noncoding regions of the genome. She has contributed extensively to the ENCODE project, co-authoring pivotal studies in Nature and producing over 5,900 experimental datasets. Dr. Zhang’s work bridges engineering, mathematics, and biology, with applications in precision medicine for cancers and psychiatric disorders. She emphasizes the importance of noncoding DNA in disease causation and has pioneered tools like EN-TEx and scENCORE to analyze epigenomes and regulatory elements. Her lab actively seeks to recruit Ph.D. students, postdocs, and interns to advance genomic technologies. Key research areas include single-cell and spatial transcriptomics, gene regulatory networks, and computational methods for multi-omics data integration. Despite pandemic-related challenges, she maintains strong collaborations and teaches courses in bioinformatics. Her future goals include expanding lab interactions and applying computational models to predict disease susceptibility and treatment responses.

Jeffrey Lambertمشاهده پروفایل

مدرس ارشد

• Psychology
• Behavioral Science
• Physical Activity Interventions
• +۴ مورد دیگر

Jeffrey Lambert is a Senior Lecturer at the University of Bath in the Department for Health, specializing in the application of psychology and behavioral science to physical activity, mental health, and digital/self-management interventions. Chartered Psychologist (BPS) Fellow of the Higher Education Academy Education: Doctor of Philosophy (Health and Wellbeing) - University of Exeter (2018) Master of Science (Health Psychology) - University of Southampton (2012) Bachelor of Science (Psychology) - University of Winchester (2010) His research focuses on digital behavioral interventions like eMotion and e-coachER, with recent work examining AI integration in youth mental health, social media breaks, and mechanisms linking exercise to mental health. Key projects include the GW4 Men’s Mental Health Project and the Making Exercise More Effective (MEME) Project. Current roles: Co-investigator on £12M+ in grants Supervisor for funded PhD students Editorial board member (Mental Health and Physical Activity)

• Artificial Intelligence
• Biomedical Informatics
• Drug Design
• +۳ مورد دیگر

Marinka Zitnik is an Associate Professor of Biomedical Informatics at Harvard Medical School, Associate Faculty at the Kempner Institute for the Study of Natural and Artificial Intelligence, and Associate Member at the Broad Institute of MIT and Harvard. Her research focuses on advancing artificial intelligence for medicine and science, including AI-driven drug design, genomic medicine, and multimodal data fusion. She leads initiatives such as the Therapeutics Data Commons and the International AI4Science initiative, emphasizing AI's role in scientific discovery and personalized healthcare. Research Interests: Dr. Zitnik's work integrates AI with biomedical challenges, developing geometric deep learning and multi-scale models to address therapeutic design, disease prediction, and precision medicine. Her lab pioneers approaches for contextualized AI systems and large pretrained models to analyze genetic, cellular, and molecular data for clinical insights. Labs/Teams: Zitnik Lab (focusing on AI in Biomedicine) and collaborations across institutions like the Broad Institute and Harvard Data Science Initiative. She also contributes to global initiatives like the AI4Science network.

Raymond H. Cuijpersمشاهده پروفایل

دانشیار

• Cognitive Robotics
• Human-Robot Interaction
• Socially Assistive Robotics
• +۵ مورد دیگر

Raymond H. Cuijpers is an Associate Professor at Eindhoven University of Technology in the Human Technology Interaction group. His research focuses on Cognitive Robotics , Human-Robot Interaction , and Artificial Intelligence for cognitive agents, with applications in healthcare robotics and aging population support. PhD in Physics of Man from Utrecht University (2000) Postdoctoral research at Erasmus MC Rotterdam and Radboud University Nijmegen Key research areas include: Developing socially intelligent robots with proper social cue interpretation Hybrid AI approaches for real-world complexity handling Visual-haptic perception integration in human motor control Service robots for COPD patient assistance (KSERA project) Rescue robotics and tele-operation applications Recent research output (2025) includes studies on: Personalization in human-robot communication Optimal lighting for elderly visual perception Human-robot bonding mechanisms Interactive sensorized platforms for homecare (GUARDIAN) Audiovisual temporal integration in virtual environments He coordinates large-scale European projects like GUARDIAN and previously KSERA, contributes to sustainable development goals through healthcare robotics, and serves on editorial boards of leading journals including International Journal of Social Robotics . His work spans both technical robotics development and human-centric interaction studies.

• Biomedical Signal Processing
• Fetal Monitoring
• Maternal-Fetal Medicine
• +۳ مورد دیگر

Prof. SG (Guid) Oei is a full-time faculty member at the Eindhoven University of Technology (TU/e) in the Biomedical Diagnostics Lab under the Department of Electrical Engineering. He serves as a leading academic in the Eindhoven MedTech Innovation Center and the Center for Care & Cure Technology Eindhoven , focusing on advanced signal processing systems for maternal-fetal health diagnostics. Primary Affiliation: Professor , Electrical Engineering, TU/e Research Centers: Eindhoven MedTech Innovation Center, Biomedical Diagnostics Lab, Center for Care & Cure Technology Eindhoven Research Focus : Developing non-invasive fetal monitoring technologies, including electrohysterography and speckle tracking echocardiography , to improve detection of fetal distress, preterm birth prediction, and maternal-fetal health outcomes. His work bridges biomedical diagnostics with machine learning, emphasizing real-time clinical applications. Scientific Contributions : Over 288 research outputs with 4568 citations, including pioneering studies on: Fetal myocardial deformation analysis AI-enhanced cardiotocogram interpretation Extra-uterine life support system design Impact of maternal mental health on labor outcomes Optimization of uterine monitoring techniques Collaborative Networks : Works with key researchers like Jan WM Bergmans (NeuroPlatform), Massimo Mischi (Biomedical Diagnostics), and Judith OEH van Laar on projects spanning prenatal diagnostics, maternal-fetal coupling, and simulation-based obstetric training.

• Biomedical Engineering
• Fetal Monitoring
• Signal Processing
• +۳ مورد دیگر

Judith OEH van Laar is an Assistant Professor in the Signal Processing Systems group at Eindhoven University of Technology (TU/e) and a gynecologist at Máxima Medical Center. Her research focuses on technological advancements for maternal and fetal health, including fetal monitoring systems and congenital defect detection. She holds a Master's in Medicine from Radboud University (2004) and a PhD from TU/e (2012) on fetal autonomic responses during pregnancy. She completed gynecology specialization at Máxima Medical Center (2014). Research interests include fetal electrocardiography, heart rate variability, and cardiotocogram analysis. She leads projects like HASTA (Healthy Ageing Starts with a HealThy stArt) and contributes to MEDEIA (MEDical Engineering Innovations and Applications). Recent work involves AI-driven fetal health assessment and maternal physiological monitoring. Key collaborations span biomedical engineering and clinical medicine.

Patrick Olivierمشاهده پروفایل

استاد

• Human-Centred Design
• Digital Health
• Collaborative Computing
• +۳ مورد دیگر

Patrick Olivier is a Professor at Monash University's Department of Human Centred Computing, with adjunct roles at Monash University Indonesia and Malaysia. He leads the Action Lab, a multidisciplinary research group focusing on human-centred design, digital health, and social innovation. His work bridges academia and real-world impact, particularly in co-design methods and implementation science. He holds a PhD in Language Engineering from the University of Manchester and has extensive industry experience, including founding Lexicle Ltd and Axivity Ltd. Education: PhD in Language Engineering, University of Manchester (1998) MSc in Artificial Intelligence, University of Wales (1991) Postgraduate Diploma in Computing, University of Bradford (1990) BA in Natural Sciences (Physics), University of Cambridge (1989) Research Interests: Co-design methods, digital health, technology-enhanced learning, collaborative and social computing. Recent Work Trends: His articles (2023–2025) emphasize digital health interventions, community engagement in tech design, and the societal impacts of light exposure. Key themes include participatory frameworks for marginalized groups and scalable healthcare systems. Awards: 2022 Dean's Award for Excellence in Research Engagement 2021 Dean’s Community Research Award 2018 ACM Honorable Mention & Sydney Vice Chancellor's Award Advising & Grants: Supervises PhD students in digital health and co-design. Principal Investigator on projects like the EPSRC Centre for Digital Civics and global health initiatives (e.g., Open Nutrition, PIP-Kids). Lab/Teams: Action Lab (Australia, Malaysia, Indonesia) focuses on tech for social innovation, digital health, and civic engagement.

Maia Jacobsمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Health Technology Design
• Behavioral Science
• +۳ مورد دیگر

Maia Jacobs is an Assistant Professor of Computer Science and Preventive Medicine at Northwestern University. Her research focuses on human-centered computing to design health technologies that adapt to longitudinal health needs. She holds a Ph.D. in Human-Centered Computing from Georgia Institute of Technology and a B.S. in Industrial and Systems Engineering from the University of Wisconsin-Madison. Her work emphasizes user-centered design principles to create equitable and adaptive health interventions. Key research areas include wearable health tools, voice assistants for mental health, telehealth cancer care, and AI integration in healthcare workflows. She collaborates with low-income communities and informal caregivers to ensure technologies address real-world healthcare challenges. Recent publications explore AI-physician collaboration in oncology, burnout support for frontline workers, and ethical design of voice-assisted mental health services. Her projects often involve co-design with marginalized groups to promote health equity. Jacobs’ interdisciplinary approach bridges computer science, behavioral science, and clinical practice to advance personalized healthcare solutions.

Thomas Heldtمشاهده پروفایل

دانشیار

• Computational Physiology
• Neuromonitoring
• Critical Care Informatics
• +۲ مورد دیگر

Thomas Heldt is Associate Professor of Electrical and Biomedical Engineering in the Department of Electrical Engineering and Computer Science at MIT, and a Principal Investigator at MIT's Research Laboratory of Electronics. He leads the Integrative Neuromonitoring and Critical Care Informatics Group and serves as Associate Director of the Institute for Medical Engineering and Science. Research focuses on: Noninvasive intracranial pressure monitoring Computational models of cerebrovascular dynamics Sepsis detection algorithms Wearable physiological monitoring Clinical decision support systems Recent publications (2022-2024) demonstrate advances in hemodynamic modeling, diagnostic algorithms for critical care, and AI applications for physiological monitoring. Key innovations include open cranium models for intracranial hypertension studies, deep learning frameworks for fatigue assessment, and mobile-based neurocognitive tracking. Professor Heldt collaborates with Boston Children's Hospital, Beth Israel Deaconess Medical Center, and Boston Medical Center to translate research into clinical practice. His work has been recognized through the W.M. Keck Career Development Professorship and IEEE EMBS Distinguished Lectureship.

Qiongshi Luمشاهده پروفایل

دانشیار

• Biostatistics
• Genetic Epidemiology
• Human Genetics
• +۳ مورد دیگر

Qiongshi Lu is an Associate Professor at the University of Wisconsin–Madison, affiliated with the Department of Biostatistics and Medical Informatics within the School of Medicine and Public Health. He also holds affiliate faculty positions in the Department of Statistics, Computer, Data & Information Sciences at the College of Letters and Science. His research focuses on developing statistical methods for human genetics, including genome-wide association studies (GWAS), gene-environment interactions, and genetic risk prediction. Lu’s work bridges computational biology, epidemiology, and clinical genetics, with a particular emphasis on understanding complex trait variability and resilience mechanisms in neurodegenerative diseases like Alzheimer’s. His lab (qlu-lab.org) explores innovative statistical frameworks such as PIGEON for gene-environment interaction analysis and has contributed to tools like the R package 'ipd' for predictive data inference. Recent studies highlight his interdisciplinary approach, addressing topics from congenital heart disease genetics to socioeconomic health gradients using large-scale genomic datasets. While no formal advisees are listed, his research collaborations span multiple institutions and disciplines.