جست‌وجوی استاد و پژوهشگر

Thomas K. Uchidaمشاهده پروفایل

دانشیار

• Biomechanics
• Dynamical Systems
• Musculoskeletal Modeling
• +۷ مورد دیگر

Thomas K. Uchida is an Associate Professor in the Department of Mechanical Engineering at the University of Ottawa, a position he has held since May 2024. Prior to this promotion, he served as an Assistant Professor at the same institution from October 2018 to May 2024. Before joining the University of Ottawa, Dr. Uchida was an Engineering Research Associate (April 2015-August 2018) and Simbios Distinguished Postdoctoral Fellow (July 2012-April 2015) in the Department of Bioengineering at Stanford University. Dr. Uchida's research focuses on the modeling and simulation of dynamic systems, with particular emphasis on human movement biomechanics. His work spans multiple areas including: Simulation-guided design of assistive devices for improving mobility Modelling musculotendon dynamics and energy expenditure Parameter identification and model reduction methods Impact and contact dynamics Development of computational tools for biomechanical analysis He is a co-author of the book "Biomechanics of Movement: The Science of Sports, Robotics, and Rehabilitation" published by MIT Press, and actively contributes to the development of OpenSim, an open-source software platform for modeling musculoskeletal systems and generating simulations of human and animal movement. His work on OpenSim was featured on the cover of PLoS Computational Biology. Dr. Uchida's recent publications demonstrate strong activity in biomechanics, robotics, and computational modeling. His work bridges engineering principles with biological applications, particularly in understanding human movement mechanics. Key trends include applying machine learning to gait analysis, developing enhanced spine models, analyzing human balance stability with time delays, and advancing musculoskeletal simulation techniques. As an academic advisor, Dr. Uchida currently supervises seven graduate students: Firas Baklouti (expected completion August 2025) Shahin Sharafi Kazem Alambeigi Jiawei Gao Yuzhen Yan Manuel Lucas De Oliveira Blake Scott Miller Dr. Uchida collaborates with research teams focused on biomechanics and movement science. His work with OpenSim places him within an international community of researchers developing computational tools for biomechanical analysis, connecting mechanical engineering with biomedical applications in sports, robotics, and rehabilitation.

Alexander M. Petersenمشاهده پروفایل

دانشیار

• Science of Science
• Complex Systems
• Computational Social Science
• +۷ مورد دیگر

Alexander M. Petersen is an Associate Professor and Graduate Chair in the Management of Complex Systems (MCS) department and the Ernest and Julio Gallo Management of Innovation Sustainability and Technology (MIST) graduate group at the University of California Merced (UCM). He is affiliated with the School of Engineering and serves as a key faculty member driving research and academic programs in complex systems and innovation management. His educational background includes a Ph.D. (2011) and M.A. (2008) from Boston University, and a B.S. (2003) in physics and mathematics from the University of Utah. Prior to joining UC Merced, he was a tenure-track faculty member at the IMT Institute for Advanced Studies Lucca in Italy. Petersen's research focuses on the evolution of large multiscale socio-economic systems by applying concepts and methods from complex systems, statistical physics, management, and innovation science. His work spans Science of Science, Computational Social Science, Complex Systems, Quantitative Finance, and Sports Analytics. He has made significant contributions to understanding research collaboration networks, innovation dynamics, convergence science, and the impact of socio-economic shocks on various systems. His publication record demonstrates a clear trend toward increasingly complex interdisciplinary work, particularly in convergence science and network analysis. His most recent publications (2024-2025) focus on global science structure, disruption metrics, national park systems, and the impact of crises on economic behavior. These works often integrate multiple disciplinary perspectives and leverage large-scale data analysis. NSF award #1738163 for research on convergence science Petersen has advised numerous graduate students, including current PhD student Andrea del Pilar Montaño Ramirez and former students Felber J. Arroyave Bermudez (PhD in Environmental Systems) and Dr. Dong Yang (MCS Postdoctoral Scholar). His research has been supported by competitive grants and has resulted in publications in high-impact journals including Nature Communications, Science Advances, and Research Policy. He is actively involved in developing new academic programs, including upcoming B.A. majors in Management of Innovation, Sustainability & Technology (2025) and Data Science & Analytics (Fall 2024). His lab focuses on complex systems analysis, with current projects examining university digital media networks, disruption metrics in science, and the integration of regional innovation systems. The research group maintains an active presence in the science of science community, regularly presenting at conferences like the Science of Team Science conference (INSciTS).

Sophie Nowickiمشاهده پروفایل

استاد

• Glaciology
• Ice-sheet modeling
• Climate modeling
• +۳ مورد دیگر

Sophie Nowicki is an Empire Innovation Professor at the University at Buffalo's RENEW Institute, Department of Earth Sciences within the College of Arts and Sciences. She serves as Director of the Center for Geological and Climate Hazards. Her research focuses on ice sheet and sea level dynamics, using a combination of applied mathematics, remote sensing observations, and numerical modeling to understand how ice sheets interact with the global climate system. Empire Innovation Professor, University at Buffalo Director, Center for Geological and Climate Hazards Member of UB RENEW Institute Department of Earth Sciences, College of Arts and Sciences Dr. Nowicki's research interests center on glaciology, ice-sheet modeling, climate modeling, and sea level change. She studies how ice sheets interact with the global climate system and affect sea level change using a spectrum of models from idealized to large-scale continental ice sheet models. Her work is integral to climate models that provide forcing for ice sheet models, particularly through the Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6). She teaches courses including Introduction to Computational Earth Science, Environmental Remote Sensing, and various graduate research courses. Her recent publications reveal a strong focus on Antarctic and Greenland ice sheet modeling, sea level rise projections, and the development of advanced modeling frameworks. The research spans from fundamental glaciological processes to large-scale climate impacts, with a particular emphasis on quantifying uncertainties in ice sheet contributions to sea level rise. Her work frequently appears in top journals including Nature, The Cryosphere, and Geophysical Research Letters, and she has made significant contributions to the IPCC Sixth Assessment Report. Empire Innovation Professor recognition Lead contributor to IPCC AR6 Working Group I Principal Investigator for ISMIP6 (Ice Sheet Model Intercomparison Project) Dr. Nowicki actively mentors graduate students and postdoctoral researchers, with current advisees working on various aspects of ice sheet dynamics and sea level change. Her research is supported by multiple grants from NASA, NSF, and other agencies focused on improving our understanding and projections of ice sheet behavior in a warming climate. She leads the development of critical tools like the Cryosphere Model Comparison Tool (CmCt) and has been instrumental in establishing community standards for ice sheet modeling. She is involved with several research groups and initiatives including the Ice Sheet & Sea Level Lab at UB, which focuses on understanding how ice sheets will evolve in a warming world and what this means for future sea levels. Her team combines observational data with sophisticated modeling approaches to address key questions about ice-ocean and ice-atmosphere interactions that drive ice sheet changes.

• Internal Medicine Nursing
• Chronic Obstructive Pulmonary Disease (COPD) Care
• Cultural Competency in Nursing
• +۵ مورد دیگر

Assoc. Prof. Dr. Yasemin CEYHAN is an accomplished academic in nursing, currently serving as an Associate Professor at Kırşehir Ahi Evran University's Faculty of Health Sciences, Department of Nursing. She has been a full-time faculty member since 2013, initially as a Research Assistant (2013-2020) and subsequently as a Doctoral Teaching Member (2020-present). She holds multiple administrative positions including Head of Department (2020-present), Faculty Council Member (2022-present), and Quality Committee Member (2024-present). Dr. CEYHAN completed her Bachelor's Degree in Nursing at Ahi Evran University (2007-2011), followed by a Master's Degree in Nursing at Erciyes University (2012-2015), and earned her Doctorate in Internal Medicine Nursing from Erciyes University (2015-2019). She has completed numerous specialized courses in statistical analysis, meta-analysis, and healthcare research methodology. Her research primarily focuses on Internal Medicine Nursing with particular expertise in Chronic Obstructive Pulmonary Disease (COPD) management, cultural competency in nursing practice, and patient self-management in chronic diseases. She has developed significant expertise in psychometric evaluation of nursing instruments and has contributed substantially to understanding the relationship between cultural sensitivity and nursing care effectiveness. Her work bridges nursing practice with psychological, cultural, and physiological aspects of patient care. Analysis of her publication record reveals a clear evolution from descriptive studies to sophisticated analytical research employing structural equation modeling and randomized controlled trials. Her recent work demonstrates increasing methodological rigor with a focus on mediation and moderation effects in complex patient care scenarios, particularly in COPD management where she examines intricate relationships between symptoms, psychological factors, and self-management behaviors. Poster Presentation 3rd Prize (2014) from Eskişehir Osmangazi University Dr. CEYHAN has successfully supervised multiple Master's theses and currently mentors additional graduate students. She has secured and led several significant research projects funded by TÜBA, TÜBİTAK, and university research funds, focusing on chronic disease management, cultural competency assessment tools, and COPD patient care. Her research portfolio demonstrates a strong commitment to evidence-based nursing practice and instrument development. As an active member of the Turkish Respiratory Research Association (since 2018) and the Turkish Nurses Association (since 2015), Dr. CEYHAN maintains a robust collaborative research network that spans multiple Turkish universities, particularly Erciyes University. Her work reflects a team-oriented research approach with numerous co-authored publications demonstrating interdisciplinary collaboration.

• Neuroscience
• Cognitive Science
• Visual Perception
• +۷ مورد دیگر

Dr. Ben Harvey is an Associate Professor (with Ius Promovendi) in the Perception Group of the Department of Experimental Psychology at Utrecht University, Netherlands, within the Faculty of Social and Behavioural Sciences. He is based at the Helmholtz Institute and can be contacted at b.m.harvey@uu.nl. Harvey completed his DPhil at Oxford University with Professor Oliver Braddick in 2009, followed by postdoctoral work with Professor Serge Dumoulin at Utrecht. In 2015, he moved to Coimbra on a starter grant from the Portuguese Foundation for Science and Technology before returning to Utrecht in 2016 as an Assistant Professor. He was promoted to Associate Professor in 2019 and has led his own research group since 2015. Harvey's research focuses on characterizing sensory and cognitive systems in the human brain, particularly neural responses and computations within these systems. His work combines cutting-edge neuroimaging approaches with computational modeling and behavioral experiments. Initially studying the early visual system as a model of neural processing, he extended invasive animal neurophysiological approaches to non-invasive human neuroimaging. His recent work investigates neural responses underlying cognition in the human association cortex, examining how visual space and number processing differs between cultures and in clinical disorders. His fingerprint reveals expertise in Functional Magnetic Resonance Imaging, Numerosity, Receptive Field, Visual Cortex, Population Receptive Field, Nerve Potential, Early Visual Cortex, and Topographic Maps. His publication record demonstrates significant impact, with works like 'Topographic representation of numerosity in the human parietal cortex' (2013) receiving over 360 citations. His research spans visual neuroscience, with emphasis on how the brain processes visual information, attention mechanisms, and numerical cognition, revealing generalized quantity processing systems in the human brain. Award for highest-rated abstract (2013) Brain Centre Rudolph Magnus Research Award (Best Paper of the Year) (2014) Causal link between cortical organization and conscious perception: human fMRI and electrophysiology (2009, 2010) Harvey has been actively engaged in knowledge dissemination, with multiple invited talks at institutions including INSERM in Paris (2016) and the University of Parma (2015). His research has received significant media attention, with interviews on National Public Radio (NPR) USA, Livescience.com, and Science Magazine in 2013. Beyond academic publications, he writes popular science articles exploring the relationship between visual neuroscience and visual arts. As part of the Helmholtz Institute Experimental Psychology research program, Harvey collaborates widely to investigate visual space and number processing across different populations, contributing to our understanding of how these cognitive functions vary between cultures and in clinical disorders.

• Coastal Engineering
• Fluid Dynamics
• Tsunami Modeling
• +۵ مورد دیگر

Lorenzo Melito is a Professor in the Faculty of Engineering at Università Politecnica delle Marche (UNIVPM) in Ancona, Italy. His research focuses on coastal engineering, fluid dynamics, and environmental modeling with particular emphasis on wave dynamics, tsunami inundation, and coastal adaptation to climate change in Mediterranean environments. Dr. Melito's research interests span several critical areas in coastal engineering and environmental fluid mechanics. His work on wave-current interactions, steady streaming, and infragravity dynamics provides fundamental insights into coastal processes. He has developed semi-empirical approaches for tsunami inundation mapping that have been applied to Italian coastlines. His research on munitions mobility in estuaries addresses important environmental contamination issues, while his work on coastal inundation modeling contributes to climate change adaptation strategies for the Marche Region and beyond. His publications demonstrate expertise in both theoretical modeling and experimental approaches to understanding complex coastal phenomena. Analysis of Dr. Melito's recent publications reveals a strong focus on coastal processes in the Adriatic Sea region, particularly in microtidal environments. His work combines theoretical modeling, numerical simulation, and experimental approaches to understand complex wave-bottom interactions, sediment transport, and coastal flooding mechanisms. A recurring theme is the application of fundamental fluid dynamics principles to solve practical coastal engineering problems, with emphasis on Italian coastal regions including the Marche Region and the Tyrrhenian and Adriatic coasts. His research bridges theoretical fluid dynamics with practical coastal management applications, particularly for hazard assessment and climate change adaptation.

• Solid State Physics
• Quantum Mechanics
• Analytical Mechanics
• +۷ مورد دیگر

Matti Selg is an Associate Professor at the Institute of Physics within the Faculty of Science and Technology at the University of Tartu, Estonia. He has been actively teaching graduate courses in Quantum Mechanics, Analytical Mechanics, and Mathematical Physics since 2009, with increasing responsibility over the years. Currently, he oversees the entire teaching of three mandatory courses: Master's Course in Quantum Mechanics, Analytical Mechanics, and Theory of Complex Variables. Dr. Selg completed his education at the University of Tartu, earning a diploma in physics. He received his Doctor's Degree in 1981 from the University of Tartu with a dissertation titled "Relaxation and hot luminescence of self-trapped excitons in rare gas crystals," supervised by Vladimir Hižnjakov and Rein Kink. His additional qualification includes a PhD in solid state physics from the Institute of Physics of the Estonian Academy of Sciences. Professor Selg's research spans several interconnected areas of theoretical physics. His primary interests include quantum mechanics, particularly scattering theory and inverse problems, as evidenced by his numerous publications and textbooks on quantum scattering. He has made significant contributions to the understanding of reflectionless potentials and the Marchenko equation. More recently, he has focused on classical mechanics problems, particularly exploring Binet's equation and its connections to Newtonian and Einsteinian gravity theories, as well as revisiting historical problems like Galileo's swiftest descent problem. His work bridges mathematical physics with practical applications in molecular and solid-state physics. Analysis of his recent publications reveals a clear trajectory from quantum scattering theory toward classical mechanics and historical physics problems. While maintaining his expertise in quantum systems, particularly with hydrogen molecules and diatomic systems, he has expanded into historical and mathematical analyses of foundational physics concepts. His 2023-2025 publications show a particular focus on exact solutions to classical mechanics problems and their connections to modern gravitational theory. Dr. Selg has served in several administrative roles, including as a member of the Science Council of the Institute of Physics at the University of Tartu since 2001 and as a member of the Expert Commission for Exact Sciences of the Estonian Science Foundation (2003-2006). He has successfully led research projects funded by the Estonian Science Foundation, including studies on excimers in rare gases and their crystals. As an educator, Professor Selg has developed and taught advanced courses that integrate deep theoretical concepts with practical applications. His textbooks on quantum scattering theory demonstrate his commitment to making complex topics accessible to students. His recent work on the mathematical and physical perspectives of foundational problems suggests an evolving research program that connects historical scientific developments with contemporary theoretical challenges.

• Topology of Complex Systems
• Higher-order Networks
• Topological Neuroscience
• +۷ مورد دیگر

Giovanni Petri is a Professor in the Network Science Institute at Northeastern University London, where he joined in June 2023. Previously, he held positions at CENTAI as a Principal Researcher and at IMT Lucca as a Guest Scholar, with earlier affiliations at ISI Foundation and Imperial College London. His educational background includes a PhD in Complex Networks from Imperial College London (2012), an MSc in Theoretical Physics from the University of Pisa (2008), and a BSc in Physics from the University of Pisa (2005). Petri's research spans the analysis of neuroimaging data and AI systems with topological techniques, the formalization of cognitive control models with tools of statistical mechanics and network theory, and the study of the predictability of socio-technical systems. His work in Topological Neuroscience explores brain architecture using algebraic topology, while his research in Cognitive Neuroscience focuses on neural mechanisms underlying human cognition. He is particularly known for his work on higher-order networks, using mathematical frameworks like hypergraphs and simplicial complexes to model systems with multi-way interactions. His recent publications (2023-2025) demonstrate a strong focus on higher-order network theory applied to neuroscience, with particular emphasis on topological approaches to brain connectivity, social contagion models, and the physics of complex systems. These works reveal consistent themes in understanding how multi-body interactions shape system dynamics across biological, social, and technological domains. European Research Council Consolidator Grant (RUNES: Reconstruction and unification of neural and ecological systems, 2024) As Principal Investigator of the NPLab, Petri advises numerous PhD and postdoctoral researchers including Marilyn Gatica, Andrea Santoro, and Simone Poetto. His RUNES project, funded by the ERC Consolidator Grant, represents a significant research initiative. The lab maintains active collaborations with CENTAI, Project CETI (Cetacean Translation Initiative), and various international institutions. The NPLab investigates the role of topology and geometry in the collective dynamics of complex systems, ranging from neuroscience to society, using statistical mechanics, algebraic topology, and innovative computational approaches. Current projects include Topological Neuroscience, Cognitive Neuroscience, Higher-order Networks, Project CETI, and RUNES.

Mauricio Tenorio Trilloمشاهده پروفایل

استاد

• Cultural History
• Latin American Studies
• International History
• +۴ مورد دیگر

Mauricio Tenorio Trillo serves as the Gustavus F. and Ann M. Swift Distinguished Service Professor of History at the University of Chicago and the College, while maintaining an affiliation as Profesor afiliado at Centro de Investigación y Docencia Económicas (CIDE) in Mexico City. With over two decades of scholarly work including thirteen years at Chicago, he remains actively engaged in research as evidenced by his upcoming research leave for Autumn 2025 and Winter 2026. Tenorio earned his PhD from Stanford University in 1992, establishing a foundation for his interdisciplinary approach that bridges historical methodology with linguistic analysis and urban studies. His academic trajectory demonstrates consistent engagement with Mexican and Latin American historical narratives across institutional contexts. Professor Tenorio's research explores the intricate relationships between language and historical understanding, urban development and national identity formation, and the conceptual frameworks that shape regional perceptions. His work critically examines how historical narratives are constructed, with particular focus on Mexico City's evolution and the conceptual construction of Latin America as a region. Recent scholarship increasingly addresses historical memory, monument culture, and the politics of historical representation, reflecting his evolving intellectual trajectory while maintaining core methodological commitments. Analyzing his publication trends reveals Tenorio's sustained commitment to conceptual history and the deconstruction of regional identities. His scholarship consistently demonstrates how historical narratives shape contemporary understandings of place and culture, with language serving as both medium and subject of historical inquiry. The interdisciplinary nature of his work bridges history with linguistics, urban anthropology, and cultural studies, creating a distinctive methodological approach that has influenced multiple fields. Professor Tenorio's scholarly contributions have been recognized through several prestigious awards: Honorary Mention for The Bolton-Johnson Prize from the American Historical Association (2013) Spiro Kostof Book Award from the Society of Architectural Historians (2015) Gordon J. Laing Prize from The University of Chicago Press (2015) Quantrell Award for Excellence in Undergraduate Teaching (2019) While specific details about current advising relationships aren't prominently featured, Tenorio's collaborative work such as 'El Porfiriato: Una propuesta y un balance' with Aurora Gómez demonstrates scholarly partnership. His extensive publication record and teaching recognition suggest significant student mentorship, with his work appearing in numerous academic journals and receiving translations that extend his scholarly impact beyond English-language academia. Professor Tenorio operates within a robust transnational scholarly network connecting the University of Chicago with Mexican academic institutions, particularly CIDE. This binational academic presence enables him to bridge North American and Latin American intellectual traditions, creating a distinctive conceptual space that informs his research on historical narratives and regional identity formation. His work exemplifies how transnational scholarly engagement can produce innovative historical methodologies and conceptual frameworks.

Matthias Kliegelمشاهده پروفایل

استاد

• Gerontology
• Cognitive Psychology
• Memory Research
• +۳ مورد دیگر

Professor Matthias Kliegel is affiliated with the LIVES Centre at the University of Geneva, where he conducts research on aging and cognitive processes. His work spans multiple interdisciplinary collaborations across Switzerland and internationally, focusing on memory, cognitive aging, and health outcomes in older populations. As a prominent researcher in gerontology, he contributes significantly to understanding age-related cognitive changes and their implications for healthy aging. Professor Kliegel's research interests center on cognitive aging, with particular emphasis on prospective memory, cognitive complaints, and the interplay between physical activity, health literacy, and cognitive function in older adults. His work examines how individual differences affect cognitive trajectories across the lifespan and investigates factors that contribute to successful cognitive aging. Recent research has expanded into technology applications, including AI and consumer-grade devices for cognitive health monitoring and early detection of cognitive decline. Analysis of Professor Kliegel's recent publications reveals a strong focus on longitudinal approaches to studying cognitive aging, with an increasing integration of technology in aging research. His work spans traditional psychological methodologies while incorporating contemporary approaches like AI analysis of aging research priorities and digital screening tools for preclinical Alzheimer's disease. The research consistently addresses practical applications for improving cognitive health outcomes in aging populations, with several studies focusing on modifiable factors like physical activity that could inform public health interventions. Professor Kliegel maintains active collaborations with numerous researchers across Swiss institutions including the LIVES Centre network, with co-authors spanning psychology, public health, and geriatric medicine. His work appears in high-impact journals across gerontology, psychology, and public health disciplines, demonstrating the interdisciplinary nature of his research program. The consistent funding evident from his publication record suggests successful grant acquisition supporting his longitudinal research initiatives. As a faculty member at the University of Geneva's LIVES Centre, Professor Kliegel contributes to a major interdisciplinary research platform focused on vulnerability throughout the life course. His work aligns with the Centre's mission to investigate social, economic, and health-related vulnerabilities across different life stages, with particular emphasis on aging populations in Switzerland and beyond.

William Harbertمشاهده پروفایل

استاد

• Geophysics
• Seismic Processing
• Microseismic Analysis
• +۵ مورد دیگر

William Harbert is a Professor in the Department of Geology and Environmental Science at the University of Pittsburgh, where he leads research in geophysics and subsurface characterization. His work bridges fundamental geophysical principles with practical applications in energy and environmental systems. Education: MS in Exploration Geophysics from Stanford University PhD in Geophysics from Stanford University Research focuses on seismic analysis across multiple scales, from micro-CT to surface seismic. His group specializes in advanced processing of microseismic, reflection seismic, and VSP data to image subsurface structures and understand pore-scale dynamics. Current work integrates deep learning for geophysical object detection and classification, with emphasis on organic shale systems and CO 2 storage monitoring. Key areas include rock physics, microseismicity analysis, and environmental geophysics for water quality assessment. Publication trends show strong emphasis on energy-related geophysics, particularly hydraulic fracturing monitoring, CO 2 sequestration verification, and unconventional reservoir characterization. Recent work increasingly incorporates machine learning techniques and addresses environmental monitoring challenges in subsurface operations. Scientific recognition: DOE ORISE Research Associate Resident Institute Fellow of the NETL-Institute for Advanced Energy Solution Professional engagements include membership on the Altarock Review Board for DOE-funded geothermal projects and prior service on the Scientific Advisory Board for the In Salah CO 2 Injection Project. His research involves extensive collaboration with national laboratories and industry partners on subsurface monitoring technologies. His laboratory group develops advanced geophysical processing techniques for subsurface imaging across multiple scales, with current projects focusing on microseismic monitoring of shale reservoirs and CO 2 storage sites.

• Environmental Epidemiology
• Children's Environmental Health
• Molecular Epidemiology
• +۳ مورد دیگر

Margaret Karagas, PhD is the inaugural Department Chair and James W. Squires Professor of Epidemiology at the Geisel School of Medicine at Dartmouth College, with a secondary appointment as Professor of Community and Family Medicine. She also serves as Director of both the Children's Environmental Health and Disease Prevention Research Center and the Center for Molecular Epidemiology at Dartmouth. Her leadership extends to the NIH-funded Environmental Influences on Child Health Outcomes (ECHO) Program, which encompasses over 90,000 participants across the United States. Dr. Karagas earned her PhD from the University of Washington in 1990 and has established herself as a leading researcher in environmental epidemiology. She collaboratively developed an innovative cross-disciplinary postdoctoral and graduate program in Quantitative Biomedical Sciences (QBS) that integrates epidemiology, bioinformatics, and bistatistics. Her research focuses on interdisciplinary studies investigating environmental exposures, host factors, and biological mechanisms affecting health from infancy through adulthood, with particular emphasis on under-studied rural populations. Dr. Karagas employs high-dimensional analytic tools along with biomarkers and sensors to study the exposome, genetic susceptibility, and biological response. Her work has uncovered adverse cardiometabolic, neurodevelopmental, and immune-related health outcomes associated with drinking water contaminants, food-borne toxicants (including in infant first foods), and exposures from woodstoves. Analysis of her recent publications reveals a strong focus on environmental health impacts across the lifespan, with significant contributions to understanding how environmental exposures affect child development, chronic disease risk, and health disparities. Her work frequently employs advanced molecular and analytical techniques to assess environmental exposures and their biological consequences. Dr. Karagas serves on numerous prestigious international consensus panels and committees, including those for the United Nations, World Health Organization, International Agency for Research on Cancer, European Food Safety Authority, US National Institutes of Health, and National Academies of Science, Engineering and Medicine. As an academic leader, she has mentored diverse investigators at all career stages and established innovative training programs. Her research has directly contributed to practice and policy changes regarding environmental health threats. She maintains active collaborations across multiple centers at Dartmouth including the Dartmouth Toxic Metals Superfund Research Program and Dartmouth SYNERGY.

Rafal Bogaczمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Networks
• Parkinson's Disease
• +۵ مورد دیگر

Professor Rafal Bogacz is a leading academic at the University of Oxford, affiliated with St Edmund Hall and the MRC Brain Network Dynamics Unit . He teaches computational neuroscience and statistics at both undergraduate and postgraduate levels, including the MSc in Neuroscience and BSc in Biomedical Science programs. MSc: Wroclaw University of Technology PhD: University of Bristol Postdoctoral Researcher: Princeton University His research focuses on computational neuroscience , particularly modeling brain networks involved in action selection , decision making , and Parkinson's disease pathophysiology. Key themes include: Developing predictive coding models of cortical computations Understanding basal ganglia neural circuits in healthy and diseased states Designing closed-loop deep brain stimulation paradigms Recent publications highlight work in neural plasticity , dopamine signaling , and computational psychiatry , with a notable Wellcome Discovery Award supporting research on learning in neurons . The Bogacz Group maintains strong collaborations with experimental neuroscientists and shares open datasets through the MRC BNDU Data Sharing Platform . Wellcome Discovery Award (2025): For learning in neurons Europe PMC Open Access (multiple): For numerous PLoS, Nat Neurosci, and J Neural Eng publications As a computational neuroscientist, Professor Bogacz supervises D.Phil. students and leads research programs that bridge theoretical neuroscience with clinical applications . The group actively participates in MRC BNDU training initiatives and public engagement activities like Schools Open Day demonstrations.

Cynthia D. Rudinمشاهده پروفایل

استاد

• Interpretable Machine Learning
• Sparse Models
• Causal Inference
• +۷ مورد دیگر

Cynthia D. Rudin is the Gilbert, Louis, and Edward Lehrman Distinguished Professor of Computer Science at Duke University, with joint appointments in the Departments of Electrical and Computer Engineering, Statistical Science, Mathematics, and Biostatistics & Bioinformatics. She directs the Interpretable Machine Learning Lab and has held previous positions at MIT, Columbia, and NYU. Her educational background includes: Undergraduate degree from the University at Buffalo PhD from Princeton University (2004) Research Interests: Dr. Rudin's research focuses on interpretable machine learning and its applications across multiple domains. Her work emphasizes creating machine learning models whose reasoning processes people can understand, which includes algorithms for extremely sparse models, interpretable neural networks, interpretable matching methods for causal inference, and dimension reduction for data visualization. She applies these techniques to critical societal problems in healthcare, criminal justice, materials science, and other domains. Her lab has developed practical code for sparse models such as decision lists, decision trees, and additive models that provably optimize accuracy and sparsity. Dr. Rudin's recent publications (2024-2025) demonstrate a strong focus on interpretable AI applications across diverse fields including healthcare (mortality risk scores, breast cancer prediction), materials science (metamaterials design), and environmental justice (location-based health analysis). Her work consistently emphasizes practical implementations with real-world impact, particularly in high-stakes decision-making domains where model transparency is critical. Scientific Awards: Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity (2022) - often described as the "Nobel Prize of AI" INFORMS Society on Data Mining Prize (2024) Guggenheim Fellowship (2022) Three-time winner of the INFORMS Innovative Applications in Analytics Award (2013, 2016, 2019) Winner of the 2023 John M. Chambers Statistical Software Award for PaCMAP Winner of the 2024 Award for Innovation in Statistical Programming and Analytics Dr. Rudin has advised numerous PhD students and postdocs who have co-authored significant publications with her. Her lab has received substantial funding for projects applying interpretable machine learning to healthcare (seizure prediction in ICU patients), criminal justice (crime series analysis), and energy infrastructure (underground electrical distribution networks). Her work on the Series Finder algorithm has been adapted by the NYPD and has been running live in NYC since 2016. She directs the Interpretable Machine Learning Lab at Duke, which includes the Almost-Matching-Exactly Lab focused on interpretable causal inference. Her team develops practical code implementations for all their research, emphasizing usability and real-world application in critical domains.

Stefan Gösslingمشاهده پروفایل

استاد

• Tourism and climate change
• Sustainable tourism
• Mobility studies
• +۶ مورد دیگر

Stefan Gössling is a Professor and Research Coordinator specializing in sustainable tourism and climate change research with dual appointments at Lund University and Kalmar University. He currently serves as Research Coordinator at the Research Centre for Sustainable Tourism, affiliated with Vestforsk (Western Norway Research Institute), where he has been employed since 2007. Gössling earned his BSc in biology and MSc in geography from Westfälische Wilhelms-Universität, Münster, followed by a doctoral degree in Human Ecology from Lund University in 2001. After completing a postdoc at Freiburg University (2002-2003), he became Associate Professor at Lund University in 2005 and was promoted to full Professor in Human Ecology in 2008. He also holds a Professorship in Tourism Research at Kalmar University since 2009. His research focuses on tourism and climate change , sustainable tourism development , mobility studies , and low-carbon tourism systems . His fieldwork spans the Western Indian Ocean region (Mauritius, Seychelles, Zanzibar, Madagascar, Sri Lanka) and Jordan, with significant contributions to understanding tourism's environmental impacts, particularly in aviation and transport systems. Analysis of his recent publications reveals a strong trajectory toward policy-relevant research on carbon management in tourism, with increasing focus on net-zero aviation, economic leakage in digital platforms, and climate risk modeling for tourism destinations. His work bridges academic research with practical policy applications across multiple European contexts. Contributing author of IPCC AR4 Gössling has led numerous significant research projects including TourRisk (modeling climate risk for Norwegian tourism), ECOVET (effects of COVID-19 on cruise tourism in Western Norway), NTRANS (Norwegian Centre for Energy Transition Strategies), and sustainable cruise research examining social, environmental and economic effects. His influential books include Tourism and Global Environmental Change (2006), Sustainable Tourism Futures (2009), and Climate Change and Aviation (2009).