جست‌وجوی استاد و پژوهشگر

Kiyohito Iigayaمشاهده پروفایل

استادیار

• Computational Psychiatry
• Neuroscience
• Machine Learning
• +۷ مورد دیگر

Kiyohito Iigaya is an Assistant Professor at the Department of Psychiatry at Columbia University, affiliated with the Neurobiology and Behavior Program, Center for Theoretical Neuroscience, and Mortimer B. Zuckerman Mind Brain Behavior Institute. He is also connected to the Health Analytics, Computing Systems for Data-Driven Science, and Computational Social Science centers. Ph.D. in Physics, Columbia University (advisor: Stefano Fusi) Postdoctoral training at University College London (Gatsby Computational Neuroscience Unit, Max Planck Centre for Computational Psychiatry and Ageing) and Caltech (advisor: John O’Doherty) The Iigaya lab specializes in computational psychiatry, studying computational principles of learning and decision-making in mental disorders. They integrate reinforcement learning models, neural circuit models, and empirical research (e.g., fMRI) through collaborations with clinical and basic neuroscience labs. Kyo’s research bridges algorithmic and neural implementation levels of analysis, focusing on mental health applications. His work aligns with data-driven science and computational social science. Key affiliations include: Neurobiology and Behavior Program Center for Theoretical Neuroscience Mortimer B. Zuckerman Mind Brain Behavior Institute Health Analytics Computing Systems for Data-Driven Science Computational Social Science His academic journey combines physics, theoretical neuroscience, and translational psychiatry research. The lab’s website ( iigayalab.com ) provides further details.

Doron Betelمشاهده پروفایل

استادیار

• Computational Genomics
• Bioinformatics
• Single-cell RNA-seq Analysis
• +۳ مورد دیگر

Doron Betel serves as an Assistant Professor at Weill Cornell Medicine's Graduate School of Medical Sciences, with affiliations in both the Physiology, Biophysics & Systems Biology and Computational Biology programs. He directs the Applied Bioinformatics Core (ABC), a central service group providing specialized computational and analytical support for biomedical research across multiple institutions. Dr. Betel's research focuses on developing computational genomic tools for studying human diseases and cellular development, with emphasis on integrative analyses of genomic and epigenomic data from high-throughput assays. His work addresses specific questions related to disease progression, treatment response, stem cell differentiation, and neurological processes through two closely interacting research groups: the Applied Bioinformatics Core and his independent research lab. The analysis of his recent publications reveals a strong emphasis on single-cell and spatial genomics, cross-species data integration, and machine learning applications in cancer immunology and neurodegenerative disease modeling. His research spans multiple high-impact areas including cancer immunotherapy, stem cell biology, diabetes research, and cardiovascular regeneration, with numerous publications in top journals like Nature, Cell, and Nature Immunology. Through the Applied Bioinformatics Core, Dr. Betel provides extensive analytical support across various genomic platforms including single-cell RNA-seq, spatial transcriptomics, ChIP-seq, ATAC-seq, and variant calling. The Core serves as a vital resource for researchers at Weill Cornell Medicine and the broader Tri-Institutional network, offering specialized analysis, computational pipelines, and training services. Dr. Betel maintains extensive collaborations with leading researchers including Lorenz Studer at MSKCC for stem cell and neurodegenerative disease research, Tuomas Tammela for cancer genomics, and multiple immunology researchers studying T cell function in autoimmunity and cancer. His work bridges computational methodology development with direct biomedical applications across multiple disease areas.

Sri Kurniawanمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Assistive Technology
• Virtual Reality Applications
• +۴ مورد دیگر

Sri Kurniawan is a researcher at the Computational Media Department within Baskin Engineering, University of California Santa Cruz . With a focus on Human-Computer Interaction , their work spans assistive technology , virtual reality applications , and accessibility design for aging populations and people with disabilities. Key research areas: Accessibility , Virtual Reality , Human-Computer Interaction Recent work explores immersive systems for emergency preparedness and Mixed Reality in biomedical visualization Publications from 2000-2025 demonstrate sustained engagement in mobile health and inclusive game design . Collaborations with institutions like University of Manchester and University of California systems highlight cross-continental research impact.

Ken Pallerمشاهده پروفایل

استاد

• Human memory
• Cognitive neuroscience
• Sleep and cognition
• +۹ مورد دیگر

Ken Paller is Professor of Psychology and Director of the Cognitive Neuroscience Program at Northwestern University, where he holds the James Padilla Chair in Arts & Sciences. He serves as Associate Director of the NIH/NINDS-funded Training Program in the Neuroscience of Human Cognition, dedicated to training future cognitive neuroscientists. Dr. Paller's research focuses on the intricate relationships between brain activity and conscious experience, particularly investigating how memories are formed, stored, and re-experienced. His laboratory has pioneered methods to strategically influence the mind during sleep to improve memory, creativity, and psychological well-being. His work spans multiple domains including memory consolidation during sleep, targeted memory reactivation, lucid dreaming research, and the neural correlates of conscious experience. Notably, he collaborates with Tibetan Monastic Scholars in research on sleep and dreaming, bridging scientific and contemplative traditions. Analysis of his recent publications reveals a strong focus on sleep-dependent memory processes, with particular emphasis on targeted memory reactivation techniques, dream manipulation, and memory modification during sleep. His research demonstrates how sleep can be leveraged to enhance cognitive functions and potentially treat conditions like nightmares in narcolepsy. Dr. Paller received the prestigious Director's Pioneer Award from NIH in 2024 and holds the James Padilla Chair in Arts & Sciences at Northwestern University. His work has garnered significant media attention, featured in outlets including BBC World Service, The World Science Festival, Discover Magazine, NY Times, LA Times, The Economist, NPR Science Friday, and CBC Radio. As Director of the Cognitive Neuroscience Program and Associate Director of the NIH-funded Training Program, Dr. Paller plays a significant role in mentoring the next generation of cognitive neuroscientists. His Cognitive Neuroscience Laboratory (CNL) conducts cutting-edge research at the intersection of sleep science, memory research, and consciousness studies, with implications for both basic science and clinical applications.

Nathaniel Nucciمشاهده پروفایل

دانشیار

• Protein Biophysics
• Spectroscopy
• Drug Development
• +۱۱ مورد دیگر

Nathaniel Nucci is an Associate Professor at Rowan University's College of Science & Mathematics, jointly appointed in the Department of Biological & Biomedical Sciences and Physics & Astronomy. His research bridges biophysics, structural biology, and nanotechnology to understand protein behavior in confined environments. Education Ph.D., Biochemistry and Molecular Biophysics, University of Pennsylvania M.S., Biochemistry and Molecular Biology, University of New Hampshire B.S., Biochemistry and Molecular Biology, University of New Hampshire Research Interests Dr. Nucci's lab focuses on: Protein biophysics in crowded/confining environments Reverse micelle technology for biomolecular studies Hydration dynamics of proteins (NMR-based methods) Structural biology of disease-related proteins (PHDs, p53) Drug delivery systems for protein therapeutics Nanoparticle synthesis with protein conjugation Research Trends His recent publications demonstrate expertise in using reverse micelles to study: Protein structural stability under confinement Hydration dynamics of therapeutic proteins Microenvironmental effects on phase-separating proteins Conformational changes in GPCRs Interfacial interactions in biomolecular systems Scientific Awards Gary J. Hunter Excellence in Mentoring Award (2024) College of Science and Mathematics Excellence in Academic Student Support (2022) Teaching Philosophy Emphasizes applied and experiential learning, integrating recent scientific discoveries into classroom practice and promoting hands-on scientific investigation.

• Bioinformatics
• Systems Biology
• Disease Module Identification
• +۶ مورد دیگر

Zelmina Lubovac is a Senior Lecturer in BioInformatics at the School of Bioscience, University of Skövde. She serves as both a Course Coordinator for multiple undergraduate and graduate courses in bioinformatics and a Programme Coordinator for Master's level programs. Her academic work focuses on the intersection of computational methods and biological applications, particularly in disease analysis and biomarker discovery. Dr. Lubovac's research spans several key areas in bioinformatics and systems biology: Disease module identification in complex biological networks Multi-omics integration (genomics, proteomics, metabolomics) for biomarker discovery Machine learning applications in RNA-seq and other high-throughput biological data Development of bioinformatics software tools for network analysis miRNA analysis in cancer and neurological disorders Her recent publications (2022-2024) demonstrate a strong focus on applying computational approaches to understand disease mechanisms, particularly in pancreatic cancer and multiple sclerosis. She has developed several widely-used bioinformatics tools including MODalyseR, MODifieR, and TFTenricher that facilitate disease module analysis and gene network interpretation. Her work often involves collaborative research with clinical teams to translate computational findings into potential diagnostic applications. Dr. Lubovac has been involved in significant research projects including: BIO-AID (Biomedical AI-driven data analytics): Oct 2020 - Sep 2024 Systems Biology DMDPipe: Mar 2018 - Feb 2021 She actively contributes to both undergraduate and graduate education at the University of Skövde, coordinating multiple courses and programs in bioinformatics and bioscience, with a clear emphasis on preparing students for careers at the intersection of biology and computational science.

Martin Princeمشاهده پروفایل

استاد

• Epidemiological Psychiatry
• Global Mental Health
• Dementia Research
• +۷ مورد دیگر

Martin Prince is a Professor of Epidemiological Psychiatry at King’s College London, where he serves as Director of the King’s Global Health Institute and Assistant Principal (Global Health) . He is a leading figure in global mental health, with a focus on low- and middle-income countries (LMIC) , dementia, and integrated health systems. His career spans over two decades of coordinating the 10/66 Dementia Research Group and contributing to WHO guidelines, including the mhGAP clinical guidelines and Integrated Care for Older People (ICOPE) . Education: MA, University of Cambridge MD (Epidemiology), University of Cambridge MS (Epidemiology), London School of Hygiene and Tropical Medicine His research bridges mental and physical health , emphasizing task-shifting care to non-specialists in LMIC. Key projects include the NIHR Global Health Research Unit on Health System Strengthening and the ATHLOS project for measuring healthy ageing. His work has informed the UK National Dementia Strategy and WHO’s World Dementia Report . Recent publications highlight depression detection in Ethiopia , dementia risk prediction , and integrated surgical care . He also explores intrinsic capacity and frailty as predictors of dependence and mortality in ageing populations. Scientific Awards: ADI Award (2014) International Psychogeriatric Association Distinguished Service Award (2011) John Mackey Award for Excellence in Dementia Care (2012) Prince leads teams such as the ASSET consortium and HOPE programme on homelessness and severe mental illness in Africa, while advocating for evidence-based policy and equitable healthcare access .

• Cognitive Neuroscience
• Auditory Neuroscience
• Music Cognition
• +۳ مورد دیگر

Robert J Zatorre is a cognitive neuroscientist at the Montreal Neurological Institute (MNI) of McGill University . He earned his PhD in experimental psychology from Brown University in 1981 under Peter Eimas and completed postdoctoral research at MNI with Brenda Milner. His work focuses on the neural mechanisms underlying auditory perception, music cognition, and brain plasticity, utilizing techniques such as fMRI and non-invasive brain stimulation. Key Research Areas : Neural substrates of auditory processing, dopamine’s role in musical reward, congenital amusia, and sensory-motor learning. Recent publications highlight his expertise in decoding brain activity related to developmental disorders, auditory perception, and the neural basis of musical reward. He actively contributes to journals like Frontiers in Neuroscience and Proceedings of the National Academy of Sciences as an editor and reviewer. Editorial Roles : Chief Editor for Auditory Cognitive Neuroscience, Frontiers in Neuroscience Guest Associate Editor for Frontiers in Systems Neuroscience and Frontiers in Human Neuroscience

• Counseling Psychology
• Youth Development
• STEM Education
• +۷ مورد دیگر

Amanda Case, PhD, is an Associate Professor of Counseling Psychology in the College of Education at the University of Iowa. Prior to joining Iowa, she held Associate Professor positions at Purdue University and Washington College. She earned a PhD in Counseling Psychology from the University of Wisconsin-Madison (2009) and an MSEd in Counseling Psychology from Teachers College, Columbia University. Her research focuses on promoting youth well-being and educational success through collaborations with community-based organizations. Key areas include designing strengths-based inclusive practices, preparing out-of-school-time staff, and addressing mental health needs in educational access programs. Her work spans STEM education, social anxiety studies, and psychobiographies of community leaders. Recent publications highlight community engagement strategies, social class attitudes, parenting styles affecting anxiety, and pandemic responses in educational programs. Notable grants include a National Science Foundation award for STEM efficacy studies and Spencer Foundation funding for college access evaluations. Licensed Psychologist in Indiana (Health Service Provider in Psychology) Editorial Board Member, The Counseling Psychologist Editorial Board Member, Journal of Social Action in Counseling & Psychology Her career emphasizes community-based participatory research and partnerships with organizations like YMCA and Detroit’s Downtown Boxing Gym.

• Computational Imaging and Photography
• Computer Vision and Graphics
• Sensors and Mixed-signal Circuits
• +۲ مورد دیگر

Suren Jayasuriya is an Associate Professor at Arizona State University's The GAME School, with joint appointments in the School of Electrical, Computer and Energy Engineering (ECEE) and the Department of Arts, Media and Engineering (AME). He is also an Affiliate Faculty Member at the Mary Lou Fulton College for Teaching and Learning Innovation. His lab, the Imaging Lyceum, focuses on transdisciplinary research bridging computational imaging, computer vision, sensors, and STEAM education. Education Ph.D. Electrical and Computer Engineering, Cornell University (2017) M.S. Electrical and Computer Engineering, Cornell University (2015) B.S. Mathematics, University of Pittsburgh (2012) B.A. Philosophy, University of Pittsburgh (2012) Research Focus Dr. Jayasuriya's work integrates optics, computational photography, and machine learning to develop novel imaging systems. His research spans: Computational cameras and light transport analysis Atmospheric turbulence modeling and video restoration Neural volumetric reconstruction for sonar/radar STEAM education frameworks for K-12 teachers Philosophical aspects of imaging and representation His lab emphasizes interdisciplinary collaboration across engineering, arts, and humanities. Publication Trends Recent publications demonstrate strong focus on computational imaging (45%), AI/ML applications (30%), and educational technology (25%). Dominant themes include turbulence mitigation in videos, neural rendering for sonar/radar, sensor fusion, and AI curriculum development for middle schools. Work frequently appears in top venues like CVPR, SIGGRAPH, and IEEE Transactions. Awards Image Electronics Technology Excellence Award (IIEEJ, 2021) Best Demo Awards: IEEE ICCP 2019, MIRU 2018 Best Paper Award: IEEE ICCP 2014 ASEE Diversity Paper Finalist (2020) Teaching Honors: Fulton Top 5% Award (2019, 2021), ASU Game Changing Faculty (2021) Teaching & Advising Teaches graduate/undergraduate courses including Machine Vision (EEE 515), Minds and Machines (AME 400), and thesis supervision. Leads NSF-funded projects on computational imaging education and AI teacher training. Mentors students through the Imaging Lyceum lab with projects spanning optics, philosophy, and educational technology. Lab & Collaborations Directs the Imaging Lyceum, emphasizing Aristotle-inspired collaborative research. The lab works on: computational cameras, STEAM education, sensor development, and philosophical inquiries into imaging. Collaborates with Carnegie Mellon Robotics Institute and international partners. Funded by NSF, NEH, and industrial partners for projects in sonar imaging, heat resiliency sensing, and educational AI.

Michael Horn-von Hoegenمشاهده پروفایل

استاد

• Surface Physics
• Ultrafast Dynamics
• Electron Diffraction
• +۴ مورد دیگر

Prof. Dr. Michael Horn-von Hoegen is a full professor in the Faculty of Physics at the University of Duisburg-Essen , Germany. His research focuses on ultrafast structural dynamics , surface physics , and 2D materials , particularly using electron diffraction and plasmonic imaging techniques. He leads the Horn-von Hoegen Group , which plays a central role in the Collaborative Research Center CRC 1242 Non-Equilibrium Dynamics of Condensed Matter in the Time Domain , where his team investigates driven phase transitions and phonon systems with sub-femtosecond temporal resolution. Location: Office Window MF260, Faculty of Physics, Lotharstr. 1-21, 47057 Duisburg Contact: Tel. +49 (203) 379 1439 | Fax +49 (203) 379 1555 His research spans ultrafast electron diffraction of photo-induced phase transitions in atomic wires and topological materials , with recent breakthroughs on Kibble-Zurek dynamics in the Si(001) surface and chiral plasmon polaritons . The group’s 15 most recent publications (2025-2022) address phenomena such as negative thermal expansion in 2D materials , electron-phonon coupling in Pb/Si heterostructures , and quantum pathway analysis in Bismuth films . These works are categorized under disciplines like Condensed Matter Physics , Nanooptics , and Ultrafast Dynamics , with subfields including Ising Model Transitions , Plasmon Focusing , and Time-Resolved Diffraction . Prof. Horn-von Hoegen serves as DFG Liaison Officer for the University of Duisburg-Essen, providing guidance on Deutsche Forschungsgemeinschaft (DFG) proposals . His group has mentored notable researchers including Dr. Simon Sindermann (postdoc at IBM), Dr. Anja Hanisch-Blicharski (Leopoldina Fellow), Dr. Hichem Hattab (Leopoldina Fellowship), and Dr. Marin Petrovic (Humboldt Fellow). The group’s laboratory facilities include advanced ultrafast electron diffraction and photoemission microscopy systems, enabling studies of atomic-scale processes such as molecular dynamics simulations of laser-excited surfaces and domain wall motion in Si(553)-Au systems .

Ulrich Frankمشاهده پروفایل

استاد

• Multi-perspective Business Modeling
• Object-Oriented Modeling
• Multi-Level Modeling
• +۷ مورد دیگر

Prof. Dr. Ulrich Frank is a full Professor of Business Information Systems and Enterprise Modeling at the University of Duisburg-Essen, Faculty of Computer Science. He serves as Director of IS:link, an international student exchange network he founded. His academic career spans multiple prestigious institutions including University of Mannheim, GMD, IBM Almaden Research Center, University of Koblenz-Landau, and University of Duisburg-Essen since 2004. His educational background includes: Business Administration studies (minor in Applied Computer Science) at University of Cologne Doctorate in Political Science from University of Mannheim (1986) Habilitation at University of Marburg (1993) Prof. Frank's research focuses on multi-perspective enterprise modeling, with particular emphasis on object-oriented and multi-level modeling approaches. His work bridges business administration and computer science, exploring conceptual modeling, knowledge management systems, business process reorganization, and the theoretical foundations of business informatics. He has made significant contributions to modeling languages like FMMLx and XModelerML, advancing multi-level modeling techniques for enterprise information systems. His recent publications demonstrate a strong focus on multi-level modeling languages, with particular attention to UML extensions, language engineering, and the application of large language models in systems engineering. The research trajectory shows consistent development of modeling frameworks that support enterprise architecture, business process modeling, and domain-specific language design, with increasing attention to AI-assisted modeling approaches in recent years. Prof. Frank has received significant recognition through editorial positions at leading journals: Co-Editor of Enterprise Modelling and Information Systems Architectures Co-Editor of Business & Information Systems Engineering Co-Editor of Information Systems and E-Business Management Co-Editor of Software and Systems Modeling Member of the Standing Committee of the European Conference on Information Systems (ECIS) Prof. Frank has served in numerous academic leadership roles including as Chairman of the Examination Board for Business Information Systems, member of the Research Commission at University of Duisburg-Essen, and Appointment Commissioner (2021-2023). He has reviewed for major funding organizations including the German Research Foundation, Federal Ministry of Education and Research, and Swiss National Science Foundation. As founder and senior consultant of IS:link, Prof. Frank leads an international student exchange network connecting universities worldwide. His research group focuses on multi-perspective enterprise modeling (MEMO), developing frameworks and tools for business information systems design and implementation.

Olga G. Troyanskayaمشاهده پروفایل

استاد

• Bioinformatics
• Computational Genomics
• Machine Learning in Biology
• +۶ مورد دیگر

Olga G. Troyanskaya is a Professor of Computer Science and the Lewis-Sigler Institute for Integrative Genomics at Princeton University. She serves as Deputy Director for Genomics at the Simons Center for Data Analysis, Simons Foundation, NYC. Her research focuses on computational biology, integrating diverse high-throughput genomic datasets to model molecular pathways in health and disease. Professor of Computer Science and Lewis-Sigler Institute for Integrative Genomics Deputy Director for Genomics, Simons Center for Data Analysis Research Interests: Troyanskaya’s work addresses challenges in bioinformatics, including algorithm development for gene expression analysis, regulatory network modeling, and disease mechanism interpretation. She combines computational methods with experimental validation using S. cerevisiae as a model organism. Scientific Trends: Recent publications emphasize single-cell multiomics, deep learning for transcriptional regulation, cancer immunotherapy design, and epigenomic analysis of immune responses. Key themes include computational modeling of genetic networks, disease-specific pathway analysis, and high-resolution omics frameworks. Collaborative roles in autism, Alzheimer’s, kidney disease, and cancer research Developed tools like HumanBase for data-driven predictions

• Alcoholism
• Comorbidity
• Neurobiology
• +۵ مورد دیگر

Ismene Petrakis is a Professor of Psychiatry at Yale School of Medicine and Director of the Mental Health Service Line at VA Connecticut Healthcare System since 2010. She also leads the ACGME-accredited Addiction Psychiatry Residency program at Yale and serves as Principal Investigator for NIAAA- and NIDA-funded training grants . Her clinical and research focus bridges alcohol dependence , comorbid psychiatric disorders , and veterans' health . Research Pillars : Pharmacotherapies for dually diagnosed patients Neurobiological mechanisms of alcoholism PTSD-alcohol comorbidity Genetic risk in substance use Methodological Expertise : Multicenter clinical trials Neurotransmitter system analysis Population-based epidemiology Translational neuroscience Key Publications (2024-2025) : Investigations into GLP1R gene expression in kidney disease Dexmedetomidine for comorbid alcohol-PTSD Cognitive training combinations for alcohol use disorder PTSD treatment effects on neurobiological markers Chronic pain-alcohol use syndemic Collaborative Networks : Yale-Drug use, Addiction, and HIV prevention Research Scholars Neuroscience Research Training Program Collaboration with Department of Anesthesiology

Serge O. Dumoulinمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Neuroscience
• Neuroimaging
• +۸ مورد دیگر

Serge O. Dumoulin is a Professor of Perception, Cognition, and Neuroscience at Utrecht University and Vrije Universiteit Amsterdam. He leads the Computational Cognitive Neuroscience and Neuroimaging group at the Netherlands Institute for Neuroscience and serves as Director of the Spinoza Centre for Neuroimaging , a collaborative facility involving KNAW, AMC, VUMC, and VU Amsterdam. Education: M.Sc. in Biology (Utrecht University), Ph.D. in Neurology and Neurosurgery (McGill University) Research focuses on the intersection of perception, cognition, and neuroimaging, particularly the human visual system. He employs ultra-high field (7T) fMRI, computational modeling, and behavioral studies to explore neural mechanisms of visual perception, attention, and numerical cognition. His work has applications in clinical disorders and methodological advancements like the pRF method, used globally in 100+ institutions. Publications span neuroscience, neuroimaging, and cognitive processes, with a 2023 Advances in MRI Technology paper emphasizing gray-matter optimized fMRI. His 2018 Neuroimage article discusses systematic pRF variations, while a 2021 PNAS study links divisive normalization to visual hierarchy. Awards: Ammodo KNAW Award (2015), NWO Vidi/Vici grants, Neuroimage Editors' Choice Award (2013) Teaching includes courses at Vrije Universiteit Amsterdam on perception, neuroscience, and fMRI data analysis. He emphasizes coding (Matlab/Python) in student internships.