جست‌وجوی استاد و پژوهشگر

Harry Atwaterمشاهده پروفایل

استاد

• Photovoltaics
• Solar Energy Conversion
• Plasmonics
• +۷ مورد دیگر

Harry Atwater is the Howard Hughes Professor of Applied Physics and Materials Science at the California Institute of Technology (Caltech). He serves as Director of the Joint Center for Artificial Photosynthesis (JCAP) and previously led the Light-Materials Interactions in Energy Conversion (LMI-EFRC) from 2009–2014. His research bridges photovoltaics, solar energy systems, plasmonics, and nanophotonics. Atwater pioneered the field of plasmonics and co-founded Alta Devices, a leader in GaAs photovoltaic technology. He holds over 200 publications and has been recognized with prestigious awards, including induction into the National Academy of Engineering (2015) and the ENI Prize (2012). His work spans cutting-edge innovations such as silicon wire array solar cells, metasurface technologies for optical manipulation, and space solar power systems. Current projects include developing lightsail propulsion for interstellar exploration and photothermocatalytic reactors for sustainable fuels. Atwater’s lab focuses on the intersection of nanophotonics and energy, exploring quantum emitters, carbon capture, and optomechanical systems. Research Highlights: Plasmonic light absorbers, metasurface-based imaging, and solar energy harvesting systems. Key Projects: Lightsail experiments, space-based solar power missions, and CO₂ reduction via electrochemical methods. Awards: Julius Springer Prize (2014), ISI Highly Cited Researcher (2014), and MRS Kavli Lecturer (2010).

Francisco Camara Pereiraمشاهده پروفایل

استاد

• Intelligent Transportation Systems
• Machine Learning
• Active Learning
• +۳ مورد دیگر

Francisco Camara Pereira is a Professor and Head of Section at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on Intelligent Transportation Systems, Machine Learning, and Data-Driven Decision-Making in transportation contexts. He actively contributes to advancing transportation science through interdisciplinary approaches combining simulation, optimization, and AI techniques. His work addresses challenges in public transport analysis, charging infrastructure planning, and multimodal demand prediction. Recent projects include developing graph-based optimization methods for electric vehicle networks and causal discovery frameworks for transportation systems. He supervises multiple PhD students in areas like federated learning for cyclist safety, causal graph neural networks, and socially aware AI models. Key contributions include publications on smart card data analysis for travel surveys, stochastic infrastructure expansion models, and transfer learning for bike-share systems. His research aligns with UN Sustainable Development Goals related to sustainable cities and innovation. Dr. Pereira collaborates internationally on transportation policy and infrastructure projects. His lab focuses on translating theoretical advancements into practical solutions for urban mobility challenges.

Connor Delaneyمشاهده پروفایل

استادیار

• Organometallic Chemistry
• Synthetic Methods
• Reaction Mechanism
• +۶ مورد دیگر

Connor Delaney is an Assistant Professor in the Department of Chemistry and Biochemistry at the University of Texas at Dallas, part of the School of Natural Sciences and Mathematics. He joined the faculty in August 2023 after completing a Ruth L. Kirschstein NRSA Postdoctoral Fellowship at the University of California, Berkeley. Education: PhD in Chemistry, University of Illinois at Urbana-Champaign (2020) BS in Chemistry, Northeastern University (2014) His research focuses on organometallic chemistry and synthetic methodology , particularly in developing new methods for Csp3 bond formation and the synthesis of saturated heterocycles —key structural motifs in pharmaceuticals and agrochemicals. The Delaney Lab emphasizes mechanistic understanding, training students in the synthesis of sensitive organometallic compounds and strategies for elucidating reaction pathways. His recent publications in journals like Science and J. Am. Chem. Soc. reveal a strong focus on cross-coupling reactions , especially the Suzuki-Miyaura reaction , with deep mechanistic investigations into boronate pathways and alternative catalytic cycles. His work bridges fundamental organometallic principles with practical synthetic applications. Scientific Awards: Ruth L. Kirschstein NRSA Postdoctoral Fellowship (NIH F32), National Institutes of Health (2021) Denmark Group Kobayashi Student Mentorship Award (2019) J. C. Martin Memorial Student Travel Award, University of Illinois at Urbana-Champaign (2019) Dr. Delaney advises a growing research group, including PhD students and a postdoctoral scholar, preparing them for careers in both industry and academia. His lab has secured independent funding to support its research program. The Delaney Lab, launched in August 2023, is actively investigating oxidative addition reactions, C–H activation, and base-free cross-coupling methodologies. Research Lab: Delaney Lab at UT Dallas Focus: Organometallic Reactivity, Synthetic Methods, Reaction Mechanism

Ester Cerinمشاهده پروفایل

استاد

• Environmental Determinants of Health
• Psychosocial Determinants of Health
• Physical Activity
• +۱۲ مورد دیگر

Professor Ester Cerin is a leading academic at the Mary Mackillop Institute for Health Research, Australian Catholic University (ACU), where she leads the Behaviour, Environment and Cognition Research Program. She holds an adjunct professorship in Statistics at the Department of Community Medicine, UiT The Arctic University of Norway, and is an Honorary Professorial Fellow at both the Baker Heart & Diabetes Institute and the School of Public Health, University of Hong Kong. Her international career includes academic roles in Australia, the USA, and Hong Kong. Her research centers on the environmental and psychosocial determinants of lifestyle behaviors and health, with a focus on physical activity, cognitive health, and sustainable environments. She employs advanced statistical methods to study how urban design and neighborhood characteristics influence health across the lifespan. Her work bridges public health, urban planning, and behavioral science. The recent publications highlight a consistent focus on built environment impacts on physical activity and cognitive health across age groups and continents. Her studies frequently employ multi-country designs (e.g., IPEN, iMAP) and advanced methodologies including meta-analyses, cohort studies, and objective environmental assessments. Key themes include walkability, urban densification, aging, and mental health. Top 1% of scholars, University of Hong Kong, 2015 Clarivate Highly Cited Researcher, 2019 Professor Cerin has secured over $24 million in research funding from prestigious bodies including NHMRC, ARC, NIH, and World Cancer Research Fund. She has led 12 major grants as Lead Investigator and serves as Principal Investigator for the iMAP and EPOCH studies. She supervises HDR students and mentors early-career researchers. Her leadership extends to editorial roles as Deputy Editor-in-Chief of the International Journal of Behavioral Nutrition and Physical Activity and Associate Editor of Health & Place . She co-founded the International Cognitive Health and the Environment Network (ICHEN) to promote research and advocacy for environments that support cognitive health. Her work is embedded in large international collaborations, including multi-country cohort studies and systematic reviews under the IPEN and CEPA working groups.

Robert G. Blandمشاهده پروفایل

استاد

• Linear Programming
• Combinatorial Optimization
• Network Flow Theory
• +۳ مورد دیگر

Robert G. Bland is a Professor at Cornell University's School of Operations Research and Information Engineering (ORIE). He joined Cornell in 1978 after roles at SUNY Binghamton and research fellowships in Belgium. He is affiliated with the Center for Applied Mathematics and specializes in linear programming, combinatorial optimization, and network flow theory. His research emphasizes algorithmic efficiency, duality theory, and applications in scheduling and resource allocation. Education: B.S. (1969), Cornell University M.S. (1972), Cornell University Ph.D. (1974), Cornell University Research Interests: Focuses on linear programming duality, combinatorial abstractions, computational methods for optimization, and applications in logistics, scheduling, and scientific computing. Notable work includes the development of new pivoting rules for the simplex method and empirical studies of network flow algorithms. Publications Insight: His work spans foundational LP theory, combinatorial optimization, and algorithmic analysis. Key themes include duality frameworks, Camion bases, and large-scale TSP applications in crystallography. Recent publications address abstract dualities and historical perspectives on pioneers like D. Ray Fulkerson. Awards: Recipient of Cornell's prestigious Merrill Outstanding Educator Award (3 times) and twice recognized as ORIE's best teacher. Member of the Mathematical Optimization Society and American Society for Engineering Education. Grants & Projects: Conducted service projects on vehicle routing and examination scheduling. Collaborated on computational studies of min cost flow algorithms and network flow performance. Labs/Teams: Active in ORIE's research groups, particularly those focused on optimization theory and computational methods.

Brad Nakamuraمشاهده پروفایل

استاد

• Evidence-Based Practice Implementation
• Youth Mental Health Services
• Developmental Psychopathology
• +۳ مورد دیگر

Dr. Brad Nakamura is Professor and Director of the Center for Cognitive Behavioral Therapy (C-CCBT) at the University of Hawai‘i at Mānoa. With over 15 years of continuous service to the university, he focuses on improving youth mental health through integration of scientific research with community practice. His career demonstrates strong commitment to Hawai‘i's youth mental health systems. PhD in Clinical Psychology (2007) MA in Psychology (2004) BA in Psychology (2000) His research program addresses two key areas: 1) dissemination and implementation of evidence-based practices (EBPs) in youth mental health services, and 2) developmental psychopathology of anxiety disorders in children and adolescents. Recent publications focus on strength-based assessment tools like SEEDS, Ohio Scales validation, and implementation strategies for EBPs in public mental health systems. Current research trends show particular attention to: Telehealth adaptation and telepresence optimization Measurement feedback systems in schools Implementation context analysis Strengths-based assessment development Community-academic partnerships Cultural adaptation of mental health tools Dr. Nakamura actively advises trainees and leads multiple funded initiatives including: $582,550 (2024-2025) Hawaii Department of Education contract $1,757,063 (2024-2025) Department of Health grant Long-running Faculty Travel Fund recipient He serves as principal investigator for statewide mental health assessment and training programs, and co-investigator for psychological assessment training initiatives. His lab collaborates with the Center for Cognitive Behavior Therapy to develop practice element frameworks and implementation ontologies that standardize youth mental health care delivery across Hawaii.

Andrew M. Cartonمشاهده پروفایل

دانشیار

• Leadership Studies
• Organizational Behavior
• Intergroup Relations
• +۵ مورد دیگر

Andrew M. Carton is an Associate Professor of Management at The Wharton School, University of Pennsylvania. His research focuses on leadership, organizational behavior, and intergroup relations, particularly how leaders establish common purpose and manage conflict through psycholinguistic insights. BA from Rutgers University PhD from Duke University His research examines how organizations can unite individuals despite differences, addressing challenges like temporal and physical distance. Key areas include vision communication, leadership dynamics, and the impact of language on employee engagement. Selected recent publications include: 2025: The six dimensions of strong theory (Organization Science) 2024: Echoes from the past: Racial transference in leader selection (Academy of Management Journal) 2023: Balancing concreteness and scale in leadership communication (Academy of Management Journal) Scientific awards include: ASQ Award for Scholarly Contribution (2024) Multiple Wharton Teaching Excellence Awards (2020, 2017, 2016) Cialdini Award (2012) and Best Paper Awards at Academy of Management conferences He teaches courses on leadership, negotiations, team dynamics, and organizational behavior, including the Wharton Leadership Journey modules and advanced research methods for doctoral students.

Thomas Goebelمشاهده پروفایل

استادیار

• Induced Seismicity
• Fault Structure
• Earthquake Source Processes
• +۳ مورد دیگر

Dr. Thomas Goebel is an Assistant Professor at the Center for Earthquake Research and Information (CERI), University of Memphis. He holds a PhD from the University of Southern California (2013). His research focuses on induced seismicity, fault structure, and earthquake source processes, integrating rock mechanics, seismology, and hydrogeology. Key projects include studies on fault roughness effects, aftershock clustering, and induced seismicity mitigation. He leads the Earthquake Physics Group (EPG), comprising 1 PostDoc and 5 graduate students, and collaborates internationally on volcano monitoring and geothermal energy projects. Dr. Goebel has received the 2023 Tigers Ascending to Excellence Award. Education: PhD in Earth Sciences, University of Southern California, 2013. Research interests emphasize interdisciplinary approaches to understanding stress storage/release in the crust, earthquake size prediction, and fault responses to fluid perturbations. His work bridges laboratory experiments, numerical modeling, and statistical analyses to address fundamental seismological questions. Recent publications highlight contributions to induced seismicity spatial footprints, laboratory-based aftershock dynamics, and volcano-seismic network development. He actively mentors students, with recent accolades including NSF internships and travel awards. Labs/Teams: Earthquake Physics Group (EPG) at CERI, collaborating with institutions in France, El Salvador, and the U.S. on projects like volcanic seismic networks and fault hydrology studies.

Janille Smith-Colinمشاهده پروفایل

استادیار

• Transportation Systems
• Infrastructure Resilience
• Equity in Civil Engineering
• +۳ مورد دیگر

Janille Smith-Colin is the J. Lindsay Embrey Trustee Assistant Professor of Civil & Environmental Engineering at Southern Methodist University (SMU), where she leads the Smith-Colin Research Group. As a licensed Professional Engineer (P.E.) and Jr. Editor for the ASCE Journal of Infrastructure Systems, her work bridges infrastructure management with social equity. She serves on the Transportation Research Board Standing Committee on Transportation Planning Analysis and Application (AEP15). Her educational background includes: Ph.D. in Civil and Environmental Engineering from Georgia Institute of Technology Master of Science in Civil and Environmental Engineering from University of Wisconsin-Madison Bachelor of Arts in Engineering Studies from Lafayette College Smith-Colin's research centers on sociotechnical systems modeling to advance equity, sustainability, and resilience in transportation infrastructure. She employs system dynamics and spatial analysis to examine transportation as a social determinant of health, with emphasis on underserved communities. Her engineering education work integrates community-based participatory research and design thinking to develop inclusive pedagogical approaches. Recent publications reveal a strong trend toward data-driven equity assessment, utilizing social media mining, mobile trajectory data, and spatial analytics to investigate infrastructure deserts, micromobility access, and health impacts. She pioneers social return on investment (SROI) frameworks for transportation solutions, connecting civil engineering with public health and disaster resilience through interdisciplinary methodologies. Scientific recognition includes: Best Poster Award, International Conference on Transportation & Development (2023) Golden Mustang Teaching Award, SMU (2023) National Academies Gulf Coast Research Program Early Career Fellowship (2021) ASCE ExCEED Teaching Fellow (2019) Her research is funded by the National Academies of Sciences, Engineering and Medicine, with grants supporting equity-focused transportation projects. While student advisees aren't explicitly listed, her community-based research approach indicates active mentorship in solving civil engineering challenges for marginalized groups. She also contributes to transportation policy through regional collaborations. The Smith-Colin Research Group develops evidence-based tools for infrastructure equity, conducting spatial analysis of transportation systems and health outcomes. Current projects involve system dynamics modeling for social sustainability, Twitter-based crisis response monitoring, and partnerships with Dallas-area agencies to map infrastructure deficiencies and mobility barriers.

Madison Loreمشاهده پروفایل

استادیار

• Urban Planning
• Data Analytics
• Sustainable Transitions
• +۱۲ مورد دیگر

Madison Lore is an incoming Assistant Professor in the Department of City and Regional Planning at Cornell University's College of Architecture, Art, and Planning, beginning her tenure in January 2026. Her interdisciplinary research integrates urban planning, data science, and sustainability, focusing on how large-scale data and information environments shape public behaviors and perceptions around sustainable transitions in housing, transportation, and energy systems. She holds a Ph.D. from the School of Community and Regional Planning at the University of British Columbia, a Master's in Applied Mathematics, and a dual Bachelor's in Mathematics and Physics from Rensselaer Polytechnic Institute. Her academic journey reflects a strong technical foundation applied to pressing urban challenges. Madison’s research interests span urban data science, machine learning, infrastructure and land use planning, social policy, and sustainable transportation. She investigates how algorithmic and data-driven methods can be used responsibly to uncover social norms, institutional influences, and individual support for sustainable policies, particularly in contexts of information overload. Her recent publications demonstrate a strong trajectory in applying hybrid deep learning and natural language processing to urban text data, evaluating equity in public mobility, and modeling transportation preferences through digital footprints. These works reflect a consistent theme: leveraging data analytics to promote equitable and sustainable urban futures. Vanier Canada Graduate Scholarship (2023–2026) Bombardier Sustainable Transportation Fellowship (2022) The Bill and Nancy Siegmann Applied Mathematical Modeling Prize (2018) Leonhard Euler Award for Excellence in Mathematical Modeling (2016) Climate Social Science Network Grant on Big Oil’s Climate Disinformation (2024) Madison has presented her work at major conferences including the Association of Collegiate Schools of Planning, the International Conference on Travel Behavior Research, and the American Planning Association National Conference. While no formal advisees are listed, her role as an incoming assistant professor suggests future mentorship of graduate students in urban planning and data analytics. She is affiliated with the PLACE Lab and brings expertise from prior work in nuclear physics and applied mathematics into her current urban sustainability research.

• Health Economics
• Health Services Research
• Applied Econometrics
• +۹ مورد دیگر

Dr Elisabeth Huynh is a Senior Research Fellow at the Australian National University's Centre of Epidemiology for Policy and Practice. She specializes in health economics, focusing on understanding health-related preferences, choice behavior, and economic evaluations in public policy and medical interventions. Education: PhD in Economics (Econometrics) and B.Com from the University of Sydney. Affiliations: Research Affiliate at the University of Sydney (2021-2026). Research Interests: Her work spans health economics, applied econometrics, and public policy, with specific contributions to discrete choice experiments, best-worst scaling, health workforce dynamics, healthy aging, nutrition interventions, and quality-of-life valuation. She investigates decision-making patterns in health care, including patient preferences, end-of-life care, and health service provider behavior. Publications: Her recent articles focus on pediatric quality-of-life metrics, pandemic preparedness modeling, dietary supplement choices during pregnancy, and workforce dynamics in health care. These studies employ advanced econometric methods and systematic reviews to inform policy decisions. Supervision: Elisabeth supervises PhD candidates exploring topics like child health valuation, chronic disease management, and maternal nutrition programs.

• Applied Mathematics
• Mathematical Modelling
• Computational Modelling
• +۷ مورد دیگر

Professor Matthew Simpson is a leading figure in applied mathematics at the School of Mathematical Sciences, Faculty of Science, Queensland University of Technology (QUT). He holds the position of Professor of Applied Mathematics and is an Australian Research Council (ARC) Future Fellow, reflecting his sustained research excellence. His work bridges mathematical theory and biological applications, particularly in cell migration, tissue invasion, and multiscale modeling. BE (Environmental) Honours 1, University of Newcastle (1995–1998) PhD (with Distinction), Environmental Engineering, University of Western Australia (2000–2003) Research Fellow, Department of Mathematics and Statistics, University of Melbourne (2003–2006) ARC Postdoctoral Fellow, University of Melbourne (2006–2009) Lecturer (2010–2011) and Senior Lecturer (2011–2013), QUT Associate Professor (2013–2014), QUT Professor and ARC Future Fellow (2014–present), QUT Matthew Simpson’s research focuses on mathematical and computational modeling of biological systems , particularly collective cell motion, diffusion processes, and reaction-diffusion dynamics. His interests span multiscale modeling , random walk processes , cell biology , and numerical and computational mathematics . He develops and analyzes models to understand phenomena such as wound healing, cancer progression, and tissue engineering. His recent publications (2023–2025) demonstrate a strong trend toward integrating data-driven modeling , likelihood-based inference , and equation learning with traditional mechanistic models. These works emphasize parameter identifiability , uncertainty quantification , and prediction robustness in biological contexts. Themes include sharp-fronted wave propagation, mechanical cell interactions, tumor spheroid formation, and generalized diffusivity in food drying, showcasing the breadth and depth of his modeling expertise. Among his key accolades are: J.H. Michell Medal (2012) – Awarded by ANZIAM for distinguished research by an early-career applied mathematician in Australia and New Zealand. ARC Future Fellowship (2013–2017) – For the project 'New data-driven mathematical models of collective cell motion' (FT130100148). Professor Simpson has also played significant editorial and leadership roles, including: Executive Associate Editor, Journal of Engineering Mathematics Academic Editor, PLoS ONE Editorial Board Member, ANZIAM Journal Co-chair of the 2015 ANZIAM meeting He has supervised PhD students on topics such as moving boundary problems, first-passage times, stochastic simulations, and curvature-dependent growth in biological systems. His research projects have been funded by competitive Australian grants (ARC DP and FT schemes), including studies on 3D cell migration, ghrelin’s role in cell invasion, and epithelial-to-mesenchymal transition in cancer and wound healing. He is actively involved in developing computational tools for biological modeling and promoting best practices in scientific publishing.

Ismail Ben Ayedمشاهده پروفایل

دانشیار

• Computer vision
• Optimization
• Medical image analysis
• +۱ مورد دیگر

Ismail Ben Ayed is an Associate Professor at École de technologie supérieure (ETS) in Montreal, Canada, holding the ETS Research Chair on Artificial Intelligence in Medical Imaging. His research bridges computer vision, optimization, and medical image analysis to develop advanced algorithms for clinical applications, with particular focus on cardiac and neurological imaging. His research program centers on medical image segmentation using novel optimization techniques, graph-based methods, and deep learning models. He pioneers approaches for handling volumetric bias, shape compactness, and distribution matching in MRI and cardiac imaging, directly addressing clinical challenges in spine labeling, ventricle segmentation, and tumor detection. His work emphasizes mathematical rigor combined with practical medical relevance. Analysis of his 15 most recent publications (2014-2017) reveals dominant themes in medical image segmentation (80% of works), particularly for cardiac MRI (35%) and neurological applications (25%). Key methodological contributions include distributed optimization frameworks (20%), advanced graph cut techniques (30%), and deep learning architectures (25%), published consistently in top-tier venues including CVPR, MICCAI, and TPAMI. His scientific recognition includes: MICCAI travel award (2017) Outstanding Reviewer Award at CVPR (2015) GE innovation award (2010) He actively mentors researchers as evidenced by his recruitment of PhD students and postdocs, with research supported by the ETS Research Chair and multiple patents. His service includes chairing MICCAI 2017/2015 and IPTA 2017, plus continuous program committee roles at CVPR, ICCV, and MICCAI since 2011. Leading the ETS Research Chair on AI in Medical Imaging, he directs a collaborative team working on clinical translation of computer vision techniques. Current projects focus on cardiac motion analysis, brain tumor segmentation, and spine labeling systems with direct applications in radiology workflows.

Darren Scottمشاهده پروفایل

استاد

• Transportation Geography
• Geographic Information Science (GIScience)
• Sustainable Transportation
• +۱۳ مورد دیگر

Dr. Darren Scott is a Professor in the School of Earth, Environment & Society at McMaster University, specializing in Geographic Information Science (GIScience) and teaching courses such as GIS Programming and Data Processing Using Python. He previously served as an Assistant Professor at the University of Louisville’s Department of Geography and Geosciences (1999–2002) and held a Visiting Research Professor position at the Swiss Federal Institute of Technology (Zurich) in 2008. His academic background includes a BA (Honors and Co-op) in Geography from Saint Mary’s University (1991), an MA from the University of Western Ontario (1994), and a PhD from McMaster University (2000). Dr. Scott’s research focuses on transportation systems, aging populations, GIScience innovations, and sustainable infrastructure. He has pioneered work in route choice modeling, transportation demand analysis, and the impact of demographic changes on mobility. In 2008, he established TransLAB, a research lab within his school, which explores advanced transportation topics using GPS and geospatial tools. His projects have been funded by major agencies like NSF, SSHRC, and NSERC, addressing issues ranging from electric vehicle adoption to flood resilience in emergency services. His teaching emphasizes Python programming and advanced GIS applications, reflecting his expertise in geospatial technologies. He has contributed to policy debates on urban sustainability, particularly regarding Canada’s Greenbelt legislation and telework trends during the pandemic. Despite no explicitly mentioned scientific awards, his extensive grant history and scholarly output highlight his impactful contributions to the field. Dr. Scott’s advising and grant activities center on interdisciplinary studies, including the McMaster Monitoring My Mobility Study (MacM3), which tracks mobility patterns of older adults. His work bridges transportation engineering, urban planning, and public health, often leveraging big data and GIS tools to analyze real-world scenarios in cities like Hamilton and Calgary.

Vladimir Vinogradovمشاهده پروفایل

استاد

• Stochastic Analysis
• Financial Mathematics
• Actuarial Mathematics
• +۱۵ مورد دیگر

Vladimir Vinogradov is a Professor in the Department of Mathematics at the College of Arts and Sciences, Ohio University. He is based in Morton Hall 579 and can be reached at vinograd@ohio.edu. His academic career reflects long-standing engagement in probabilistic and statistical theory with applications in finance, actuarial science, and population dynamics. Research Interests: His work spans a wide spectrum of stochastic processes and statistical methodologies. Key areas include Stochastic Analysis, Lévy and Markov Processes, Branching and Particle Systems, Fluctuation and Extreme Value Theory, Large Deviations, and Asymptotic Expansions. He also contributes to Distribution Theory, Saddlepoint Approximations, Generalized Linear Models, and probabilistic models in Population Genetics. Grants and Awards: Dr. Vinogradov has received sustained research support, including multiple Ohio University Research Challenge Program Grants (1999–2003), NSERC Canada Individual Research Grants (1995–2003), and a Fields Institute Conference Grant (2014). He also received the BC Asia Pacific Scholars' Award and several UNBC Conference Travel Grants. Education: Ph.D., Moscow State University Professional Activities: He co-organized the International Conference on Analysis, Applications and Computations in memory of Lee Lorch in 2014. His funding history indicates active collaboration and academic leadership. There is no mention of advising students or lab affiliations in the provided text.