جست‌وجوی استاد و پژوهشگر

Eldan Cohenمشاهده پروفایل

استادیار

• Machine Learning
• Deep Learning
• Optimization
• +۶ مورد دیگر

Eldan Cohen serves as an Assistant Professor of Industrial Engineering within the Department of Mechanical & Industrial Engineering at the University of Toronto's Faculty of Applied Science and Engineering. His academic journey includes a PhD from the same department followed by a postdoctoral fellowship in Computer Science at the University of Toronto and the Vector Institute for Artificial Intelligence. His educational background is detailed as follows: PhD in Mechanical & Industrial Engineering, University of Toronto Postdoctoral Fellowship in Computer Science, University of Toronto and Vector Institute for Artificial Intelligence Dr. Cohen's research centers on machine learning, deep learning, heuristic search, and optimization with strong emphasis on interpretable and human-compatible AI systems. His work bridges theoretical advancements with practical applications in healthcare (e.g., patient-physician interaction analysis, surgical safety diagnostics), automated planning, natural language processing, and software engineering. Recent projects develop interpretable clustering methods for medical data and optimization techniques for constrained sequence generation. Analysis of his 2023-2025 publications reveals a concentrated focus on healthcare AI applications, particularly using large language models for clinical text analysis and diagnostic support systems. Significant work also addresses interpretable machine learning for medical imaging, diverse plan selection in optimization, and constrained sequence generation in domains like vehicle routing. No major scientific awards or fellowships are documented in the available information. As an academic advisor, Dr. Cohen mentors graduate students in mechanical and industrial engineering, guiding research in optimization and machine learning. His OptiMaL research group fosters collaboration between computer science and industrial engineering to solve real-world decision-making challenges through human-centered AI approaches. The Optimization and Machine Learning (OptiMaL) research group, led by Dr. Cohen, serves as the primary hub for developing scalable, interpretable AI solutions for complex healthcare, planning, and engineering problems, with active projects in medical diagnostics and automated planning systems.

Steve Tanimotoمشاهده پروفایل

استاد

• Novice programming environments
• Collaborative problem-solving environments
• Technology for educational assessment
• +۱۱ مورد دیگر

Steve Tanimoto is a Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, with an adjunct appointment in the Department of Electrical & Computer Engineering. His work focuses on human-centered computing, particularly in educational technology and collaborative problem-solving environments. He has made significant contributions to the understanding of liveness in programming environments and their application to education, including a keynote at the International Conference on Live Coding (2015) that traced historical influences leading to widespread use of liveness in modern software environments. Dr. Tanimoto's research spans several interconnected domains: Novice programming environments and educational technology Collaborative problem-solving environments and tools Technology for educational assessment, particularly using pattern-recognition methods for teaching written language on tablets Liveness in programming environments and its applications Image processing from interdisciplinary perspectives (as detailed in his MIT Press book "An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs") His recent publications demonstrate a consistent focus on the intersection of computing education, human-computer interaction, and collaborative problem-solving. A notable trend is the exploration of "liveness" in programming environments and how this concept can enhance educational experiences. His work increasingly integrates AI technologies with educational applications, particularly in the areas of writing instruction and collaborative problem-solving, with significant NIH funding support (P50 HD071764 and U54 HD083091). His notable recognition includes: VL/HCC Best Showpiece Award in 2015 for "Solving Problems by Drawing Solution Paths" Dr. Tanimoto has advised several graduate students through to completion, including Robert Thompson (2019), Sandra Fan (2013), and Tyler Robison (2012). He currently advises Emilia Gan (co-advised with B. Mako Hill) and Edward Misback. His research has been supported by NIH grants for work on computerized writing and reading instruction for students with learning disabilities. His CoSolve research group has developed experimental facilities for collaborative problem-solving, exploring tools that support problem formulation, visualization of problem spaces, and team collaboration dynamics, with applications in education, design, and various problem-solving domains.

Stephen D. Hartمشاهده پروفایل

استاد

• clinical-forensic psychology
• violence risk assessment
• psychopathic personality disorder
• +۵ مورد دیگر

Stephen D. Hart is a Full Professor in the Department of Psychology at Simon Fraser University, with expertise in clinical-forensic psychology. His work focuses on assessment in criminal and civil settings, particularly violence risk and psychopathic personality disorder. He has also served as a Visiting Professor at the University of Bergen since 2000 and provides violence risk assessment and management services through Protect International Risk and Safety Services. Dr. Hart completed his education at the University of British Columbia, obtaining a BA in 1984, MA in 1987, and PhD in 1993. He began teaching at Simon Fraser University in 1990 and was appointed a regular faculty member in 1994. His primary research interest is clinical-forensic assessment, with specific focus on violence risk (including intimate partner violence, sexual violence, stalking, workplace violence, and terrorism) and psychopathic personality disorder. He co-developed the Structured Professional Judgment (SPJ) approach to violence risk assessment and has co-authored numerous SPJ violence risk assessment guides including HCR-20, RSVP, SVR-20, SARA, B-SAFER, SAM, PATRIARCH, MLG, and EARLI. He also developed the Comprehensive Assessment of Psychopathic Personality (CAPP) concept map with colleagues at Glasgow Caledonian University and the University of Liverpool. His publication record shows consistent output with significant contributions to understanding violence risk assessment across cultures and settings, as evidenced by his work on cases like Ewert v. Canada. His recent publications focus on economic analysis of crime costs associated with psychopathic personality disorder, stalking recidivism, and online stalking behaviors. Distinguished Contributions Award, American Academy of Forensic Psychology (2019) Distinguished Achievement Award, Association of Threat Assessment Professionals (2009) Career Achievement Award, Section on Clinical Emergencies and Crises (Section VII) of the Society of Clinical Psychology (2003) Jerome Fisher Memorial Lecture Award (2001) Saleem Shah Award for Early Career Research Excellence (1995) Dr. Hart has supervised numerous graduate and undergraduate students at Simon Fraser University and other institutions, and has acted as external examiner for graduate students worldwide. His research has received substantial funding, enabling the development and validation of multiple assessment instruments that have become standards in forensic practice. He has also served as Editor of the Journal of Threat Assessment and Management, further demonstrating his leadership in the field. Dr. Hart leads or significantly contributes to research teams focused on violence risk assessment and psychopathy assessment, collaborating with international colleagues across multiple disciplines including psychology, psychiatry, criminology, and law. His work bridges academic research and practical application in forensic settings globally.

Elin Marie Frivold Kostølمشاهده پروفایل

استادیار

• Special Education
• Social-Emotional Learning
• Inclusive Education
• +۳ مورد دیگر

Elin Marie Frivold Kostøl is an Assistant Professor in the Department of Education at the University of Agder. Her research focuses on co-regulation in parent-child and teacher-child interactions, particularly in emotional situations. She examines how social and emotional conditions influence child development and learning, with methodological expertise in qualitative approaches like Stimulated Recall Interviews and video analysis. Key areas include special education, social-emotional learning, and inclusive education. Her work explores pedagogical strategies for emotional support in classrooms and the role of intersubjective understanding in bullying prevention. She is affiliated with the Special Education research group and has contributed to interdisciplinary projects addressing educational assessment and school staffing challenges. Elin’s research highlights teachers’ interpretations of emotional situations, emphasizing co-regulation as a pedagogical tool. She advocates for evidence-based practices to enhance children’s emotional and behavioral regulation in diverse classroom settings.

Ali Shojaieمشاهده پروفایل

استاد

• Biostatistics
• Statistics
• Machine Learning
• +۴ مورد دیگر

Ali Shojaie is a Professor of Biostatistics and Statistics at the University of Washington, serving as Associate Chair for Strategic Research Affairs in the Department of Biostatistics. He leads the Summer Institute for Statistics in Big Data (SISBID) and the Data Management and Statistics (DMS) Core for the UW Alzheimer's Disease Research Center. His research focuses on developing statistical and machine learning methods for high-dimensional data, with applications in genomics, neuroscience, and public health. Shojaie's work includes advancements in graphical models, Granger causality, and spatial statistics. He has contributed to methodologies for analyzing networks from time series and spatial data, with applications in understanding gene regulatory networks and brain connectivity. His recent projects involve NIH-funded grants exploring gene-phenotype associations using omic data and explainable machine learning for brain stimulation research. Scientific awards include the 2022 Leo Breiman Award from ASA's Statistical Learning and Data Science section, and election as a Fellow of the Institute of Mathematical Statistics (IMS) and American Statistical Association (ASA). He serves on editorial boards for journals like the Journal of the American Statistical Association and Biometrika. Shojaie advises numerous PhD students and postdocs, many of whom have secured academic and industry positions. His lab develops open-source software tools, including the netgsa and ngc packages for network analysis and Granger causality estimation.

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

Gerard Pons-Moll is a Professor at the University of Tübingen, endowed by the Carl Zeiss Foundation, and heads the Emmy Noether independent research group 'Real Virtual Humans'. He is a core faculty member at the Tübingen AI Center, a senior researcher at the Max Planck Institute for Informatics (MPII), and faculty at the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and the Saarland Informatics Campus. His research focuses on computer vision, graphics, and machine learning, particularly in creating virtual human models and analyzing human motion from video and sensor data. Education: PhD (with distinction) in 2014 from Leibniz University of Hannover, Master's in Telecommunications Engineering (Northeastern University, 2008), and B.S./M.Sc. in Telecommunications Engineering from the Technical University of Catalonia (2002–2008). Research Interests: 3D human modeling, pose estimation, human-object interaction, and applications in industry and research. His work emphasizes real-world applications like virtual avatars and motion capture systems. Awards: Emmy Noether Grant (2018), German Pattern Recognition Award (2019), Google Faculty Research Award (2019), and multiple best paper awards at top conferences (BMVC’13, Eurographics’17, 3DV'18, CVPR'20). Advising & Grants: Served as program chair of 3DV 2021, area chair for ECCV, CVPR, and IJCAI. Active in reviewing for DFG, ANR, and ISF. Supervises research in areas like neural rendering frameworks (Blendify) and synthetic data generation (STAGE). Labs/Teams: Leads the Emmy Noether group and collaborates with MPII, Tübingen AI Center, and IMPRS-IS on projects like XNect (real-time 3D motion capture) and Human 3Diffusion (avatar creation).

Jennifer Hicksمشاهده پروفایل

استاد پژوهشی

• Biomechanical Modeling
• Machine Learning in Biomechanics
• Musculoskeletal Dynamics
• +۳ مورد دیگر

Jennifer Hicks is the Executive Director of the Wu Tsai Human Performance Alliance at Stanford University, focusing on collaborative research to advance understanding of human performance through biomechanical modeling and machine learning. She also serves as Director of Research for the NIH-funded Mobilize Center and Restore Center, integrating engineering tools into rehabilitation science. Her work emphasizes predictive modeling of surgical outcomes, mobile health data analysis, and exoskeleton design. Dr. Hicks leads software development for the OpenSim project, guiding its user-centric evolution and promoting open-source biomedical tools. Her research spans musculoskeletal dynamics, wearable technology, and clinical applications of AI. Key contributions include smartphone-based motion capture (OpenCap) and foundational datasets like AddBiomechanics. She co-develops training programs for interdisciplinary teams and advocates for large-scale health data utilization. Dr. Hicks' efforts bridge academia and industry, supporting translational research in neurorehabilitation, sports performance, and chronic disease management.

Alexis Garciaمشاهده پروفایل

استادیار بالینی

• Attention-deficit/hyperactivity disorder (ADHD)
• Emotion dysregulation
• Child and Adolescent Psychopathology
• +۵ مورد دیگر

Dr. Alexis Garcia is a Clinical Assistant Professor in the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC). She holds a PhD in Clinical Psychology from Florida International University with a specialty in child and adolescent psychology. Her postdoctoral training included a National Institute of Alcohol Abuse and Alcoholism (NIAAA) fellowship focusing on adolescent alcohol use. Dr. Garcia is affiliated with MUSC's College of Medicine and actively participates in the MUSC Youth Collaborative, focusing on self-regulation mechanisms related to substance use in adolescents, particularly those with ADHD and emotion dysregulation challenges. Education & Professional Background: PhD in Clinical Psychology, Florida International University Predoc Internship: MUSC Child Track NIAAA Postdoctoral Fellowship (Adolescent Alcohol Use Research) Research Interests: Her work examines emotion dysfunction in ADHD-affected adolescents and its link to risk-taking behaviors like substance use. She also investigates racial disparities in school disciplinary actions, family violence reporting discrepancies, and early intervention strategies for behavioral disorders. Methodologically, she employs multimodal assessments and longitudinal studies like the ABCD project. Professional Contributions: As a mentor, she guides psychology interns and psychiatry fellows at MUSC. Her research has explored fidget spinner efficacy for ADHD symptom management in classrooms, the role of parental monitoring in alcohol experimentation, and neurobehavioral vulnerability markers for substance misuse. She collaborates on large-scale projects such as the Adolescent Brain Cognitive Development (ABCD) study. Labs/Teams: Active member of the MUSC Youth Collaborative, contributing to interdisciplinary studies on youth mental health and developmental psychopathology.

• Virtual Reality
• Human-Computer Interaction
• Computer Vision
• +۴ مورد دیگر

Robert S. Allison is a Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. His research focuses on human perceptual responses in virtual environments, stereoscopic vision, and eye movement analysis. He is affiliated with the York Centre for Vision Research, Sensorium (Digital Arts & Technology), and the Centre for Innovation in Computing at Lassonde. His research interests include depth perception in natural and virtual environments, human-computer interface design for VR, machine vision applications, and the measurement of human motion. He has supervised multiple graduate students and contributed to over 260 publications. His work spans topics like cybersickness mitigation, display lag effects, and perceptual adaptation in VR. Key grants include NSERC-funded projects on perception in virtual environments and collaborations with institutions like the Australian Research Council. His teaching includes courses on human perception in human-computer interaction and digital logic design. Recent articles highlight advancements in understanding motion perception, VR-induced sickness, and multisensory integration. He collaborates widely, with affiliations including the VISTA program and York's Connected Minds initiative.

Myrto Tsakatikaمشاهده پروفایل

استاد

• European Union institutions and governance
• Politics of economic and social policy
• Southern European politics
• +۵ مورد دیگر

Professor Myrto Tsakatika is a distinguished academic in the Department of Politics at the University of Glasgow's College of Social Sciences, where she has been employed since 2007. She holds the position of Professor in Political & International Studies and serves as Undergraduate Programme Director. Her office is located in the Adam Smith Building (R1311 Level 13), a prominent building housing the university's social sciences disciplines. Dr. Tsakatika earned her PhD from the University of Essex and previously taught at the Athens University of Economics. She has held prestigious visiting positions at the University of Trieste, the Juan March Foundation in Madrid, and the Centre Emile Durkheim at SciencesPo Bordeaux, establishing her as a scholar with significant international connections. Professor Tsakatika's research spans several interconnected domains within political science. Her primary focus lies in European Union politics and governance, particularly examining the democratic deficit, new governance modes, and evolving public attitudes toward European integration. More recently, she has developed expertise in radical left parties and populism, with special attention to Southern European cases including Greece, Portugal, Italy, and Spain. Her work often bridges comparative politics with European studies, analyzing how domestic political developments interact with broader European integration processes. She has made significant contributions to understanding SYRIZA's rise and governance in Greece as well as similar phenomena across Southern Europe. Analysis of Professor Tsakatika's recent publications reveals a consistent scholarly trajectory focused on the intersection of European integration, radical left politics, and populism in Southern Europe. Her work demonstrates increasing specialization in comparative analysis of radical left parties, particularly examining their organizational structures, electoral strategies, and governance challenges. The geographical focus remains firmly rooted in Southern Europe while maintaining connections to broader European political dynamics. Her publications appear in high-impact journals and prestigious academic presses, indicating recognition within the political science community. Professor Tsakatika has successfully supervised numerous PhD students whose research aligns with her expertise, including projects on populism's impact on foreign policy, EU peacebuilding, and the democratic deficit in the European Union. Her grant portfolio reflects sustained research activity, including projects funded by the Carnegie Trust, Caledonian Research Foundation, Royal Society of Edinburgh, and European Commission programs such as PADEMIA (2013-2016) and EUROSUD (2018-2024). These grants have supported comparative research on Southern European politics, European integration, and radical left parties. Within the academic community, Professor Tsakatika serves as Associate Editor for South European Society and Politics and as Editor for Politics Politics and International Relations. She teaches undergraduate courses on the Politics of the European Union (POLITIC4020) and postgraduate courses on Global Social Movements (POLITIC 5111), directly connecting her research expertise to her teaching responsibilities.

Xinxin Songمشاهده پروفایل

استادیار

• Cell Death Mechanisms
• Ferroptosis
• Apoptosis
• +۴ مورد دیگر

Xinxin Song, M.D., Ph.D., is an Assistant Professor in the Department of Surgery at the University of Texas Southwestern Medical Center. She holds a medical degree from Peking University Health Science Center and a Ph.D. from Peking Union Medical College. After post-doctoral training at the University of Pittsburgh, she became a Research Assistant Professor at Northwestern University's Feinberg School of Medicine before joining UT Southwestern in 2020. Her lab focuses on understanding mechanisms of cell death (apoptosis, ferroptosis, pH-dependent death, immunogenic cell death) and their interplay with drug resistance, tumor microenvironment, and cancer immunogenicity. Education: M.D., Health Science Center, Peking University Ph.D., Peking Union Medical College Post-doctoral Training, University of Pittsburgh School of Medicine Research Interests: Mechanisms of programmed cell death (apoptosis, ferroptosis) Drug resistance in cancer Tumor microenvironment dynamics Immunogenic cell death pathways Labs/Teams: Established her independent lab in the Department of Surgery at UT Southwestern in 2023

Jose Antonio Gomez Hernandezمشاهده پروفایل

استاد

• Library Science
• Digital Competencies
• Information Science
• +۴ مورد دیگر

Jose Antonio Gomez Hernandez is a Professor at the University of Murcia , affiliated with the Faculty of Communication and Documentation and the Department of Library and Documentation Science . He holds a Doctorate from the University of Murcia (2006), completing his thesis on the role of libraries in higher education. His research focuses on public libraries' societal roles, digital literacy, transparency in governance, and social inclusion. Key projects include the IRIS Program , which educates students on transparency and participatory governance. His work emphasizes libraries as hubs for digital empowerment, particularly for marginalized groups like migrant women and vulnerable populations. He has collaborated on projects funded by grants like OTRI 34820, addressing digital competencies and public library innovation. His publications explore topics such as public library functionality, citizen engagement, and the intersection of technology with civic rights. He is part of the Libraries, Archives and Information Culture research group. Recent articles highlight his contributions to understanding digital skills programs, social capital creation in libraries, and the alignment of libraries with UN Sustainable Development Goals. His work bridges academic research with practical initiatives, advocating for libraries as essential institutions in fostering equitable societies.

Kelsey Laneمشاهده پروفایل

عضو هیئت علمی

• Marine Microbiology
• Climate Science
• Oceanography
• +۳ مورد دیگر

Kelsey Lane is an Oceanography Instructor and REU Program Director at Oregon State University's Department of Oceanography. She specializes in modern planktic foraminiferal ecology and investigates marine microbiomes and the impacts of marine heatwaves on plankton communities. Her work integrates molecular ecology and geochemical analyses in foraminifera. Education: Details not explicitly provided in text Her research focuses on understanding how environmental changes affect marine microbial communities and plankton ecosystems. She emphasizes fieldwork and at-sea experiences for students through her teaching and REU program direction. No scientific awards or grants were explicitly mentioned in the provided text. Lane does not currently advise graduate students and focuses on undergraduate education. She teaches courses such as OC103: Exploring the Deep, OC201: Oceanography, and OC340: Biological Oceanography.

• Plant Pathology
• Forest Health Management
• Environmental Risk Modeling
• +۳ مورد دیگر

Bo Lu is a Professor of Biostatistics and Statistics at The Ohio State University. His research focuses on advancing early detection technologies for forest pathogens and pests using spectroscopy, machine learning, and metabolomics. He specializes in understanding plant defense mechanisms against invasive species and climate-driven disease dynamics. Key research areas include: Non-invasive disease diagnostics via FT-IR/Raman spectroscopy Machine learning applications in plant health monitoring Molecular basis of plant-pathogen interactions Environmental risk modeling for emerging forest diseases Notable projects include developing early detection systems for ash dieback, beech leaf disease, and soybean cyst nematode infestations. His work integrates statistical modeling with biochemical analysis to improve forest biosecurity strategies globally. He advocates for international collaboration in addressing the global forest health crisis through improved diagnostic frameworks and resistance breeding programs.

Gilles HICKSONمشاهده پروفایل

استاد

• Cell Biology
• Molecular Biology
• Cancer Research
• +۴ مورد دیگر

Gilles Hickson is a Full Professor at the Université de Montréal’s Faculty of Medicine, Department of Pathology and Cell Biology. He is affiliated with the Azrieli Research Center at CHU Sainte-Justine and serves as Deputy Director of Academic Affairs, Co-director of the Microscopy Imaging Platform, and responsible for the Molecular Biology Program. His research focuses on understanding molecular mechanisms of cytokinesis, particularly the transition from contractile rings to midbody rings, and the roles of anillin, septins, and actomyosin dynamics in cell division using Drosophila as a model. His work has implications for cancer biology and drug development. Education: BSc (Manchester), PhD (University of Glasgow), Postdoctoral training (UCSF). Research Interests: Cytokinesis mechanisms, cytoskeletal coordination, cell division errors in cancer, and developmental variations in cytokinesis. His awards include the FRQS Senior Researcher Fellowship and multiple grants from CIHR and NSERC. He supervises graduate students and has mentored over a dozen researchers. His lab employs genetic tools and high-resolution microscopy to dissect cytokinesis machinery. He also contributes to teaching, including courses in molecular medicine and microscopy. Awards: Komen Postdoctoral Fellowship, Leukemia & Lymphoma Special Fellow, Cole Foundation Transition Award. Grants: Ongoing CIHR and NSERC funding (2022–2027) for cytokinesis research. Hickson collaborates with institutions like the CHU Sainte-Justine and leads projects on cytokinesis networks, septin assembly, and actomyosin coordination. His lab is part of the Azrieli Center and the Microscopy Imaging Platform.