Find Academic Supervisors

• Thyroid dysfunction
• Diabetes
• Pregnancy complications and cardiovascular risk
• +1 more

Bjørn Olav Åsvold, MD, PhD, is a Professor of Medicine (Epidemiology) and Center leader at the HUNT Centre for Molecular and Clinical Epidemiology (HUNT MCE), Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU). He also serves as a Consultant at the Department of Endocrinology, St. Olavs Hospital, Trondheim University Hospital. His research spans epidemiology, genetics, and clinical medicine. MD, Norwegian University of Science and Technology, 2001 PhD, Norwegian University of Science and Technology, 2008 Specialist in internal medicine, 2014 Specialist in endocrinology, 2015 Åsvold's research focuses on thyroid dysfunction and diabetes , investigating their interplay with cardiometabolic diseases and pregnancy complications . He utilizes Mendelian randomization studies to explore causal relationships between genetic factors and health outcomes, including sleep traits , autoimmune thyroid disease , and kidney function . His work also addresses global health issues like obesity in Nepal and diabetic complications in Norway. Recent publications highlight his contributions to understanding hip fracture risk prediction , cardiovascular implications of sleep patterns , and genetic determinants of trace elements . Åsvold's collaborations span multiple international institutions, including the HUNT Study and HUNT MCE in Norway.

Shadi BeshaiView profile

Associate Professor

• Mindfulness-Based Interventions
• Cultural Adaptation of Psychological Treatments
• Mental Health Accessibility
• +3 more

Dr. Shadi Beshai is an Associate Professor in the Department of Psychological Science at Kennesaw State University and director of the Mindfulness Engagement and Cultural Adaptation (MECA) Lab. His research focuses on culturally adapting evidence-based psychological treatments for depression and anxiety, particularly for underserved populations such as Indigenous communities, educators, and law enforcement. He has led large-scale trials assessing mindfulness-based interventions (MBIs) in diverse international settings, including Canada, the UK, and Iran, funded by organizations like the Canadian Institute of Health Research (CIHR) and Saskatchewan Health Research Foundation (SHRF). Education: Dr. Beshai holds a Ph.D. in Clinical Psychology (2015) from the University of Calgary, an M.Sc. in Clinical Psychology (2010), and a B.A. (Honors) in Psychology (2008) from York University. He is a registered doctoral clinical psychologist in Saskatchewan (since 2018). Research Interests: Dr. Beshai prioritizes bridging mental health disparities through scalable interventions. Key areas include treatment adaptation mechanisms (e.g., self-compassion, cultural beliefs), public literacy about interventions, and digital platforms for accessibility. His work emphasizes reducing stigma via psychoeducation framing and improving intervention messaging. Editorial Roles: He serves as Associate Editor for Mindfulness (Springer) and the International Journal of Cognitive Therapy . His lab (MECA) explores cultural adaptation strategies, digital mental health tools, and resilience in high-stress professions like public safety. Grants & Partnerships: His research has been supported by CIHR and SHRF. Collaborations include projects with Canadian public safety personnel and international teams in Iran and the UK.

Fima KlebanerView profile

Professor

• Stochastic Processes
• Financial Mathematics
• Population Models
• +1 more

Fima Klebaner is Professor in the School of Mathematics at Monash University and Director of the Centre for Modelling of Stochastic Systems. His research spans stochastic processes, financial mathematics, and population biology, with emphasis on limit theorems, branching processes, and diffusion models. Current projects include ARC-funded work on stochastic population dynamics and financial derivatives pricing. Key research areas: 1) Population-dependent stochastic systems; 2) Large deviation principles; 3) Financial mathematics (Dupire formula, volatility); 4) Approximation methods for complex processes. Recent publications (2018-2025) show balanced focus on theoretical probability (45%) and applied modeling (55%), particularly in ecology and finance. Article analysis reveals advanced methodologies in: 1) Stochastic calculus applications (33% of recent works); 2) Limit theorems for interacting systems (27%); 3) Financial mathematics innovations (20%). Theoretical contributions frequently interface with biological and financial applications.

Sara SchmittView profile

Associate Professor

• Early Childhood Development
• Child Self-Regulation
• Social-Emotional Competence
• +6 more

Dr. Sara Schmitt is the Bricker-Squires Faculty Chair in Early Intervention and an Associate Professor in the Department of Special Education and Clinical Sciences at the University of Oregon's College of Education. She holds affiliations with the Prevention Science Institute and the Prevention Sciences Graduate Program. Her research focuses on early childhood self-regulation, social-emotional development, and school readiness, particularly for underserved populations. Dr. Schmitt designs evidence-based interventions, such as the Early Learning Matters curriculum implemented in military child development centers. She has received accolades including the 2021 Society for the Study of Human Development Early Career Award and the 2021 Purdue University Trailblazer Award. Education: Ph.D., 2013, Human Development and Family Sciences, Oregon State University M.A., 2009, Developmental Psychology, San Diego State University B.A., 2003, Psychology, University of Wisconsin-Madison Research Interests: Dr. Schmitt investigates contextual and individual predictors of self-regulation, designs interventions to strengthen skills in disadvantaged children, and examines factors impacting school readiness. Her work emphasizes low-cost, scalable strategies and policy implications for educational equity. Publications: Her recent work includes studies on preschool program efficacy, block play’s impact on math skills, and the role of classroom quality in social-emotional development. These contributions underscore her focus on translational research bridging theory and practice. Awards & Grants: Funded by federal agencies and foundations, her research addresses socioeconomic disparities in early learning. She leads training initiatives for educators and has authored over 30 peer-reviewed articles. Labs/Teams: Active in the Prevention Science Institute and the Ballmer Institute Leadership Council, she collaborates on multidisciplinary teams advancing early childhood policy and practice.

Nils WildeView profile

Assistant Professor

• Robotics
• Autonomous Systems
• Human-Robot Interaction
• +16 more

Nils Wilde is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, Halifax, Canada. He specializes in robotics, AI, and human-computer interaction, with a focus on cognitive robotics, multi-robot systems, and human-robot interaction. His research integrates planning, optimization, control, and machine learning to develop interactive and adaptive robotic systems. His educational background includes: BSc and MSc in Computer Science or related field from Technical University Berlin (2012, 2016) PhD in Electrical and Computer Engineering from the University of Waterloo (2016–2020), co-supervised by Dana Kulić and Stephen L. Smith Postdoctoral Fellow at TU Delft (2021–2024) in the Autonomous Multi-Robots Lab with Javier Alonso-Mora Postdoctoral Fellow at the University of Waterloo’s Autonomous Systems Lab (until August 2021) Nils Wilde's research centers on enabling robots to learn from human feedback and adapt to user preferences in dynamic environments. His work spans preference learning , multi-objective planning , motion planning , task assignment in multi-robot systems , and human-robot interaction . He develops algorithms that allow robotic systems to balance competing objectives such as efficiency, safety, and user comfort, particularly in service robotics applications like hospitals and industrial facilities. His recent publications (2020–2024) demonstrate a strong trajectory in top robotics venues (T-RO, RA-L, ICRA, IROS, CoRL, CDC, WAFR), with a focus on multi-objective optimization, dynamic vehicle routing, sensor scheduling, and learning user preferences. A key theme is improving the quality of service in robotic systems by optimizing metrics like waiting times, statistical distinctness of plans, and user satisfaction, often through novel cost functions and learning frameworks. Nils is actively building a new robotics lab at Dalhousie University, with funded PhD positions and an interdisciplinary research environment. He is involved in organizing academic workshops, such as the upcoming 2025 RSS workshop on Multi-Objective Optimization and Planning in Robotics. He mentors prospective students and encourages applications from diverse backgrounds.

• Mathematics
• Physics
• Biology
• +23 more

Andrei Khrennikov is Professor of Mathematics at the Department of Mathematics, Linnaeus University, where he also serves as director of the International Center for Mathematical Modeling (ICMM) . He leads a vibrant research group focused on interdisciplinary modeling in physics, biology, cognition, and social systems. Research Interests: His work spans a vast interdisciplinary landscape, including mathematical physics, p-adic and non-Archimedean analysis, quantum foundations, quantum-like modeling of cognition and decision-making, econophysics, and biological dynamics . He is a pioneer in applying quantum probability and formalism outside quantum physics, especially in psychology and social sciences. The Växjö series of quantum theory conferences , which he organizes, is the longest-running continuous conference series on quantum foundations, fostering dialogue between theorists, experimentalists, and philosophers. His recent publications (2021–2025) show a strong focus on quantum cognition, p-adic biology, entanglement models, and social laser theory , often leveraging generalized probability and open quantum systems frameworks. Scientific Contributions: Developed quantum-like models for cognition, decision-making, and biological processes. Pioneered use of p-adic and ultrametric analysis in genetics and brain dynamics. Advanced classical random field models as alternatives to quantum interpretations. Introduced the social laser model for collective emotional amplification in societies. He is actively involved in major research projects such as QUARTZ (Quantum Information Access and Retrieval Theory) and DYNALIFE (Information, Coding, and Biological Function) . His work bridges mathematics, physics, and cognitive science, promoting a unified framework for understanding complex systems through quantum-inspired tools.

Keith LeGrandView profile

Assistant Professor

• Multi-sensor Multi-object Tracking
• Spacecraft Navigation
• Space Domain Awareness
• +5 more

Keith LeGrand is an Assistant Professor in the School of Aeronautics and Astronautics at Purdue University, part of the Cislunar Space Initiative. He holds a Ph.D. in Aerospace Engineering from Cornell University (2022), an M.S. (2015), and a B.S. (2014) in Aerospace Engineering from Missouri University of Science and Technology. His research focuses on multi-object tracking, spacecraft navigation, space domain awareness, and intelligent sensor control. Key projects include developing probabilistic filters for cislunar space object tracking and information-driven autonomy systems. LeGrand leads the Sensing, Controls, and Probabilistic Estimation (SCOPE) Group, which advances space surveillance and autonomous systems. Notable awards include the 2025 AFOSR and ISIF Young Investigator Awards, 2023 AMOS Best Paper Award, and the E.F. Bruhn Teaching Award for excellence in undergraduate instruction. LeGrand advises a diverse group of graduate and undergraduate students in astrodynamics and space applications. His work is supported by grants from AFOSR, ISIF, and partnerships with institutions like Sandia National Laboratories and Draper Labs. The SCOPE lab collaborates on projects such as lunar landing navigation, satellite proximity operations, and multi-sensor fusion for space surveillance.

Rekha R. ThomasView profile

Professor

• Optimization
• Applied Algebraic Geometry
• Computer Vision
• +3 more

Rekha R. Thomas is a Professor of Mathematics and Undergraduate Program Director at the University of Washington. She holds a Ph.D. in Operations Research from Cornell University (1994), with postdoctoral experience at Yale University and the Konrad-Zuse-Zentrum in Berlin. Her research focuses on optimization, applied algebraic geometry, and computer vision, with contributions to semidefinite programming, graphical designs, and geometric algorithms. She has held distinguished positions such as the Robert R. and Elaine F. Phelps Professorship (2008–2012) and the Robert B. Warfield Jr. Faculty Fellowship (2017–2020). Her work bridges theory and application, addressing challenges in computer vision, combinatorial optimization, and algebraic geometry. Notable contributions include advancements in multiview geometry, kernel learning, and the geometric analysis of rank-deficient matrices. She actively collaborates across disciplines, publishing extensively and supervising numerous graduate students and postdocs. Rekha also engages in academic leadership, mentoring students, and participating in international conferences. Her research has been recognized through invited talks at major events like the International Congress of Mathematicians (2018) and SIAM Annual Meetings. She continues to explore the intersections of algebraic geometry, optimization, and computational methods.

Sergey FomelView profile

Professor

• Geophysics
• Seismic Data Analysis
• Computational Seismology
• +3 more

Sergey Fomel is a Professor of Geophysics at the University of Texas at Austin, holding the Wallace E. Pratt Professorship and serving as Director of the Texas Consortium for Computational Seismology (TCCS). He is affiliated with the Jackson School of Geosciences, Bureau of Economic Geology, and the Oden Institute for Computational Engineering and Sciences. His research focuses on seismic data analysis, computational seismology, and machine learning applications in geophysics. He leads the Madagascar software project for open-source geophysical data analysis. Dr. Fomel earned his Ph.D. in Geophysics from Stanford University in 2001. He has held leadership roles in the Society of Exploration Geophysicists (SEG), including Vice President, Publications (2017–2019) and Distinguished Lecturer (2020). His awards include honorary memberships in SEG and the Geophysical Society of Houston (GSH). Recent research emphasizes deep learning for seismic inversion, noise reduction, and fault segmentation. His work addresses challenges in geophysical data processing, including adaptive algorithms, wave propagation modeling, and CO2 monitoring. Fomel's contributions span both theoretical and applied domains, bridging computational methods with practical geoscience applications. Education: Ph.D. in Geophysics, Stanford University (2001) Affiliations: Jackson School of Geosciences, Bureau of Economic Geology, Oden Institute Labs/Teams: Texas Consortium for Computational Seismology (TCCS), Madagascar Project

Ivan CanayView profile

Professor

• Econometric Theory
• Partially Identified Models
• Moment Inequalities
• +5 more

Ivan Canay is a Professor of Economics and Director of the Mathematical Methods in the Social Sciences Program at Northwestern University’s Weinberg College of Arts & Sciences. He holds a PhD from the University of Wisconsin, Madison (2008). His research focuses on econometric theory, particularly developing statistical methods for assessing partially identified models, including tests for moment inequalities and randomization-based inference techniques. Recent work addresses challenges in clustered data analysis, covariate-adaptive randomization, and regression discontinuity designs. Canay’s academic contributions include advancing methodologies for handling non-ignorable cluster sizes and improving the robustness of inference in settings with limited data. He serves as an associate editor for the Journal of Econometrics , Journal of Business and Economic Statistics , and Econometrics Journal . His work bridges theoretical econometrics with practical applications in policy evaluation and causal inference. Key research themes include: Partially identified models and moment inequality frameworks Bootstrap methods for clustered data Covariate-adaptive randomization in clinical trials Statistical software development (e.g., Stata modules) His publications emphasize methodological rigor while addressing real-world complexities in economic data. Current projects likely expand his work on inference under structural constraints and improving accessibility of econometric tools for applied researchers.

Susan JebbView profile

Professor

• Public Health Policy
• Nutritional Epidemiology
• Obesity Prevention
• +6 more

Professor Susan Jebb is a leading academic in diet and population health at the University of Oxford, holding dual roles as Professor of Diet and Population Health in the Nuffield Department of Primary Care Health Sciences and Senior Research Fellow at Jesus College. She chairs the Food Standards Agency and has held influential advisory roles including the UK Government’s Foresight Report on Obesity and Public Health England’s Obesity Review Group. Her research focuses on dietary interventions for obesity prevention, behavioral change strategies in primary care, and translating scientific evidence into public health policy. Education: BSc (University of Surrey, 1986) and PhD (University of Cambridge, 1990). Early career included roles at the MRC Dunn Nutrition Unit and MRC Human Nutrition Research before moving to Oxford in 2013. Research Interests: Behavioral interventions for weight management, policy impacts on dietary behavior, and obesity-related chronic diseases. Her group conducts randomized controlled trials to improve healthcare practices and public health strategies. Notable contributions include developing school food standards and shaping hospital food policies. Awards: Awarded OBE (2008) for services to public health. Teaching and Advising: Co-leads the nutrition module in the MSc in Global Health Sciences. Supervises DPhil students in primary care and population health. Leads large-scale trials such as the NHS Diabetes Remission Programme. Public Engagement: Active in media (e.g., BBC documentaries) and collaborates with public panels to co-design research studies.

Lobsang Tenzin NegiView profile

Teaching Professor

• Tibetan Buddhism
• Compassion Science
• Contemplative Practices
• +7 more

Lobsang Tenzin Negi is a Teaching Professor in Emory University’s Department of Religion and Executive Director of the Center for Contemplative Science and Compassion-Based Ethics (Emory Compassion Center). He leads initiatives integrating Tibetan Buddhist contemplative practices with modern scientific research, including developing programs like Cognitively-Based Compassion Training (CBCT®), the Emory-Tibet Science Initiative (ETSI), and the SEE Learning® framework. Born in a Himalayan region, he holds a PhD from Emory University and a Geshe Lharampa degree from Drepung Loseling Monastery. His work bridges contemplative science, education, and global ethics, emphasizing compassion as essential for human flourishing. Education: PhD, Emory University, 1999 (interdisciplinary dissertation on Buddhist and Western approaches to emotions) Geshe Lharampa, Drepung Loseling Monastic University, 1994 (highest Tibetan monastic degree) MA, Institute for Buddhist Dialectics, 1984 Research & Programs: Compassion Science: Examines compassion’s effects on mental/physical health and social well-being through CBCT®. ETSI: Develops modern science curricula for Tibetan monastics, training them as educators and researchers. SEE Learning®: Global K-12/Higher Ed framework for social, emotional, and ethical education. Mind-Body Sciences Program: Offers study abroad courses in India, integrating Tibetan Buddhism with Western science. Recent Article Trends: Focus on compassion’s applications in healthcare (PTSD, depression, HIV), education (SEL frameworks), and interdisciplinary mind-body research. Studies emphasize measurable impacts on neurology, immune response, and behavioral outcomes. Awards & Honors: While no specific prizes are listed, his leadership roles and global partnerships (e.g., with His Holiness the Dalai Lama) reflect recognition in contemplative science and intercultural education. Grants & Advising: Oversees multi-year initiatives like Tibet Week and the Emory-Tibet Partnership renewal. Advises on global compassion programs and collaborates with institutions like the Piramal Foundation in India. Labs/Teams: Directs the Emory Compassion Center and collaborates with Drepung Loseling Monastery, Emory’s Institute of Tibetan Studies, and international partners to advance compassion-based research and education.

Guillaume BalView profile

Professor

• Inverse Problems
• Medical Imaging
• Geophysical Imaging
• +4 more

Guillaume Bal is a Professor at the University of Chicago, holding joint appointments in the Departments of Statistics and Mathematics, and affiliated with the Committee on Computational and Applied Mathematics (CCAM). His research focuses on inverse problems in medical and geophysical imaging, partial differential equations with random coefficients, and the mathematical analysis of topological insulators. He explores applications in wave propagation, uncertainty quantification, and hybrid imaging modalities. His recent work delves into theoretical and computational aspects of stochastic partial differential equations and topological edge states. Research Interests: Inverse Problems (Geophysical/Medical Imaging) Topological Insulators and Edge States Wave Propagation in Heterogeneous Media Uncertainty Quantification Publications Trends: Recent articles emphasize topological insulator dynamics, hybrid imaging techniques, and stochastic PDE models. Key themes include bulk-edge correspondence, dual-energy CT optimization, and semiclassical propagation in curved interfaces.

David P. BakerView profile

Professor

• Sociology of Education
• Science Productivity
• World Health
• +7 more

David P. Baker is a Professor in both Education Policy Studies and Sociology and Criminology at Penn State University's College of Education. His office is located in the 647 Susan Welch Liberal Arts Building, and he can be reached at dpb4@psu.edu or 814-863-0955. Dr. Baker leads the Population Research Institute and maintains an active research program examining education's global impact on societal development. His educational background includes a Ph.D. in Sociology from The John Hopkins University (1982), an M.S. in Communication Research from Boston University (1975), and a B.A. in Psychology from Albion College (1974). These diverse academic foundations inform his interdisciplinary approach to studying education's societal impacts. Baker's research spans the sociology of education, science productivity, world health, demographic change, and the formation of social institutions. His work examines how education transforms cognitive skills in populations, reshapes occupations, influences health behaviors globally (including HIV/AIDS in Africa, smoking patterns, and obesity), and drives technological adaptation across 63 nations. He conducts innovative research through randomized clinical trials and historical analyses of universities' role in knowledge production. His publications reveal consistent focus on education's transformative power across multiple domains. Recent work examines nicotine reduction policies, cognitive transformations in the labor market, and the global testing culture. His book The Schooled Society represents a major contribution to understanding how education has reshaped modern society. Outstanding Book of the Year by the American Education Research Association Silver Medal in the Independent Publisher Book Awards (IPPYs) Best poster award at Population Association of America conference Professor Baker actively mentors students and colleagues, with numerous collaborative projects including the Population Education Transition Curve research. His laboratory work includes experimental studies on education and health messaging, with funding from the Spencer Foundation and Penn State's Population Research Institute. Current projects examine how education shapes perceptions of low-nicotine cigarette messaging and the cognitive transformation of social opportunity.

• Hardware Accelerators
• Memristor Technology
• Reservoir Computing
• +4 more

Md Sakib Hasan is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Mississippi. He holds a Ph.D. in Electrical Engineering from the University of Tennessee-Knoxville (2017). His research focuses on hardware acceleration, neuromorphic computing, and memristor-based systems. Research interests span: AI hardware accelerators and energy-efficient computing Biomimetic systems and bio-inspired electronics Hardware security through chaotic systems and PUFs Recent publications demonstrate strong emphasis on: Neuromorphic architectures for computer vision and temporal processing Biomembrane-based computing systems Chaotic cryptography and secure hardware design