جست‌وجوی استاد و پژوهشگر

Scott Weichenthalمشاهده پروفایل

استاد

• Environmental Epidemiology
• Exposure Science
• Air Pollution
• +۵ مورد دیگر

Dr. Scott Weichenthal is a Professor in the Department of Epidemiology, Biostatistics & Occupational Health at McGill University. His research focuses on identifying environmental risk factors for chronic diseases, particularly cancer and cardiovascular disease, with an emphasis on air pollution exposure assessment. He develops innovative methods for estimating environmental exposures, including deep learning models for global-scale applications. Current work examines wildfire impacts, nanoparticle characteristics, and social disparities in urban air quality. Affiliations: McGill University, Department of Epidemiology, Biostatistics & Occupational Health Research Themes: Air pollution epidemiology, exposure science, machine learning in environmental modeling Key Projects: Wildfire health effects, ultrafine particle mortality risks, spatiotemporal air quality modeling Dr. Weichenthal’s research bridges environmental toxicology and public health, addressing questions like: How do urban environments influence exposure to pollutants? How can deep learning improve global exposure estimates? His work highlights the need to consider particle composition in epidemiological studies and advocates for policies reducing disparities in air pollution burdens. His publications explore links between air pollution and diseases across populations, including maternal and pediatric health outcomes. He emphasizes methodological advancements, such as integrating mobile monitoring and machine learning for high-resolution exposure mapping. Lab/Team: The Weichenthal Research Group at McGill University focuses on understanding health effects of environmental exposures, with ongoing projects in Canada and globally.

Kevin Turnerمشاهده پروفایل

دانشیار

• Hydrology
• Geomorphology
• Permafrost
• +۱۲ مورد دیگر

Kevin Turner is an Associate Professor in the Department of Geography and Tourism Studies at Brock University, with a cross-appointment in Earth Sciences. He is based in the Faculty of Social Sciences and conducts interdisciplinary research at the intersection of hydrology, geomorphology, and climate change in northern environments. Education: PhD in Geography, Wilfrid Laurier University Geographic Information System Application Specialist, Sir Sandford Fleming College BSc in Physical Geography and Biology, Trent University Dr. Turner's research focuses on hydrological and landscape changes in permafrost regions, particularly in the Old Crow Flats of Yukon. His work integrates isotope hydrology , paleolimnology , dendrochronology , and remote sensing , including the use of unmanned aerial systems. He investigates how climate change affects thermokarst lake dynamics, carbon cycling, and water balance in Arctic and subarctic systems. His long-term field campaigns since 2007 have contributed to a deeper understanding of climate-driven landscape evolution. The 15 most recent publications highlight a strong trend in cold-region hydrology , remote sensing of permafrost , and paleoenvironmental reconstruction . His work frequently employs stable water isotopes and UAV-based monitoring to assess thaw slump dynamics, lake drainage, and ecosystem responses. The research spans disciplines including environmental science, geophysics, and Arctic ecology. Scientific Recognition: Selected to feature on the cover of a special issue of Remote Sensing (2021) Dr. Turner has been a principal investigator on multiple field campaigns and is affiliated with the NASA-ABoVE program. He teaches courses in GIS, quantitative methods, and water resource management. He advises graduate students and collaborates widely with researchers across Canada. He is actively involved in academic service, including serving as Chair of the Brock University Northern Studies Committee and as a board member of the Association of Canadian Universities for Northern Studies. His research supports land management and climate adaptation strategies in vulnerable northern regions. He leads a research program that combines field observations, geospatial analysis, and long-term monitoring to address pressing environmental challenges in the Arctic.

Aisha S. Dickersonمشاهده پروفایل

دانشیار

• Environmental Epidemiology
• Neuroepidemiology
• Environmental Health Disparities
• +۹ مورد دیگر

Aisha S. Dickerson, PhD, MSPH, is an Associate Professor in the Department of Epidemiology at the Johns Hopkins Bloomberg School of Public Health, with a joint appointment in Environmental Health and Engineering. She is affiliated with several research centers, including the Environmental influences on Child Health Outcomes (ECHO) Data Analysis Center, the Johns Hopkins Center for Health Disparities Solutions, the Johns Hopkins Center on Aging and Health, and the Wendy Klag Center for Autism and Developmental Disabilities Research. Her educational background includes: PhD, University of Texas Health Science Center at Houston, 2014 MSPH, University of Alabama at Birmingham, 2009 BS, University of Alabama at Birmingham, 2005 Dr. Dickerson is an environmental neuroepidemiologist whose research investigates the impact of environmental and occupational exposures across the life course on neurodevelopmental and neurodegenerative disorders. Her primary focus is on autism spectrum disorder, amyotrophic lateral sclerosis (ALS), and dementia, particularly in underserved and under-resourced communities. She examines joint exposures to metals, air pollution, and psychosocial stressors, emphasizing health disparities and environmental injustice. Her work often involves complex statistical modeling of exposure mixtures and gene-environment interactions. Analysis of her recent publications reveals a strong trajectory in environmental health disparities, neuroepidemiology, and longitudinal cohort studies. Her research leverages large datasets such as the Health and Retirement Study (HRS), National Health and Aging Trends Study (NHATS), and the ECHO program. Themes include the neurocognitive effects of metal mixtures, prenatal environmental exposures, occupational risks for ALS, and the social determinants of dementia. Her work bridges environmental science, public health, and social justice. Her scientific honors include: 2023 and 2024 JHU Career Impact Award Nominee 2021 Butler-Williams Scholars Program, National Institute on Aging 2020 Bloomberg American Health Initiative Spark Award 2019 Victoria S. Levin Award, Society for Research in Child Development Multiple fellowship and travel awards from NIEHS, NIMHD, and HRSA Dr. Dickerson has been the principal investigator on NIEHS-funded research examining parental occupational exposures and autism risk in offspring. She leads several ongoing studies utilizing national longitudinal datasets to investigate environmental justice and cognitive aging. Her collaborative network is extensive, involving researchers across institutions and international cohorts, particularly in Denmark. She is actively involved in mentoring through programs like LEARNERS and has contributed significantly to scientific discourse through peer review and invited perspectives. She is a key member of the ECHO Data Analysis Center and contributes to leadership in environmental health initiatives at Johns Hopkins, including the Bloomberg American Health Initiative. Her lab and research team focus on data-intensive epidemiological methods to unravel the complex interplay between environment, genetics, and neurological health across the lifespan.

Junghwa Choiمشاهده پروفایل

استادیار

• Emergency Management
• Public Administration
• Public Opinion Analysis
• +۴ مورد دیگر

Junghwa Choi, Ph.D., is an Assistant Professor in the Department of Emergency Management and Disaster Science at the University of Nebraska Omaha's School of Public Administration. Her expertise lies at the intersection of public administration, emergency management, and public opinion analysis. She holds a Ph.D. in Political Science from the University of Oklahoma (2020), an MPP from Oregon State University (2016), and a BA in Public Administration from Chung-Ang University (2011). Dr. Choi's research focuses on understanding how public opinion and attitudes shape emergency management practices and governance structures. She employs advanced methodologies like machine learning and Boolean analysis to explore citizen trust in emergency responders, disaster policy preferences, and the determinants of emergency preparedness. Her work bridges theoretical frameworks from political science with applied disaster management challenges. Teaching responsibilities include undergraduate courses on emergency management fundamentals. Her research has been published in high-impact venues, addressing topics such as disaster federalism, citizen participation in crisis response, and the symbolic impact of minority representation. Dr. Choi's lab (114A CPACS Lab) supports interdisciplinary exploration of these critical issues.

• Climate Change and Health
• Biometeorology
• Heat Stress
• +۳ مورد دیگر

Dr. Claudia Di Napoli is a researcher at the University of Reading specializing in climate-health interactions, with a focus on biometeorology and heat stress impacts. She serves as a key contributor to the Lancet Countdown on Health and Climate Change , an international research collaboration tracking climate-health indicators across 44 organizations. Her work bridges meteorological science and public health through operational climate services development. Her research centers on thermal comfort indices , heat stress epidemiology , and climate reanalysis applications for health protection. Notable contributions include developing the ERA5-HEAT global dataset and Thermofeel open-source library for thermal stress assessment. She investigates regional vulnerabilities from Caribbean heatwaves to European mortality patterns, emphasizing urban environments and occupational exposure risks while advancing methodologies for climate service integration into health systems. Analysis of her 15 most recent publications reveals three dominant trends: (1) operationalization of climate data for health decision-making through tools like Thermofeel; (2) rigorous validation of reanalysis models against health outcomes; and (3) exploration of compound hazards (e.g., heatwaves concurrent with wildfires or pandemics). Her work consistently addresses equity dimensions of climate vulnerability, with increasing focus on transboundary risks and Global South impacts. Dr. Di Napoli actively collaborates with the World Health Organization, European Centre for Medium-Range Weather Forecasts (ECMWF), and Global Heat Health Information Network. Her advisory role in the Lancet Countdown involves mentoring early-career researchers across 20+ countries and securing multi-institutional grants for climate-health monitoring systems. Recent projects include heatwave forecasting during the COVID-19 pandemic and Caribbean climate vulnerability assessments funded by UK Research and Innovation. She co-leads the University of Reading's climate-health analytics team within the European Climate Assessment & Dataset (ECA&D) initiative, developing real-time thermal stress monitoring frameworks adopted by public health agencies in 12 countries. Her group maintains partnerships with the International Society of Biometeorology and WHO's Global Heat Health Information Network for operational tool deployment.

• Compositional Data Analysis
• Econometrics
• Financial Ratios
• +۶ مورد دیگر

Dr. Germà Coenders is a Professor of Quantitative Methods for Economics and Management at the Department of Economics of the University of Girona . He teaches statistics, econometrics, research methods, and survey methodology at the Facultat de Ciències Econòmiques i Empresarials and other institutions like ESADE (Ramon Llull University) and the University of Ljubljana. His research focuses on compositional data analysis with applications in marketing, accounting, finance, and tourism studies. PhD in Management Sciences (1996), Universitat Ramon Llull Director of the Compositional and Spatial Data Analysis (COSDA) research group (2021SGR01197) His work includes developing compositional structural equation models , spatiotemporal models , and generalized linear models with compositional predictors. He co-founded the Association for Compositional Data Analysis and has published 7 books and over 80 journal articles. Recent publications address topics like: Compositional approaches to financial statement analysis Impact of the Ukraine-Russia war on agricultural company resilience Air pollution effects on children's mental health Bayesian spatiotemporal modeling He maintains affiliations with: Universitat de Girona (1997–present) ESADE (Universitat Ramon Llull) University of Ljubljana His research infrastructure includes: Compositional Data Analysis Lab for financial statement analysis Data resources for wine sector ( vinicolas.xls ) and beer industry ( cervecera.xls ) studies With 5 research sexennia (1995–2024) and h-indices of 29 (Web of Science), 29 (SCOPUS), and 44 (Google Scholar), Dr. Coenders demonstrates sustained research productivity.

• Sustainable Mobility
• Transport Economics
• System Dynamics Modeling
• +۶ مورد دیگر

Astrid Gühnemann is a Professor for Transport Studies at the University of Natural Resources and Life Sciences, Vienna (BOKU) , leading the Institute for Transport Studies since 2017. Her career spans roles at Leeds University (2005-2017) and German Aerospace Center (2001-2005). Fields of Interest : Sustainable mobility, system dynamics modeling, urban transport economics, climate policy integration, and mobility behavior analysis. Projects : Led AI-Based Optimisation of Incentive Schemes , TransFair-AT , Ultimative Integrated Mobility Solutions (ULTIMOB) , and Digibus Austria (automated rural transport). Academic Contributions : Supervised 42 theses (2017-2025) and published 43 peer-reviewed works, focusing on transport demand modeling, climate policy evaluation, and mobility transition. Community Roles : Member of ÖVG , System Dynamics Society , and advisory roles for VSS Wissenschaftsrat (Switzerland) and Austrian Standards Committee . Recent Articles show a shift toward system dynamics applications in autonomous vehicle adoption, climate policy impacts , and travel time valuation with multitasking. Projects like TransFair-AT and ULTIMOB highlight her focus on sustainable rural transport and social equity .

Jérôme Chenalمشاهده پروفایل

پژوهشگر

• Urban and Regional Planning
• Environmental Science
• Public Health
• +۳ مورد دیگر

Jérôme Chenal is a Senior Scientist and Director of the Excellence in Africa Center at the École polytechnique fédérale de Lausanne (EPFL) , affiliated with the Institute of Environmental Engineering . He is also an Affiliate Professor at UM6P (Morocco). His work intersects urban and regional planning , environmental science , public health , and geospatial analysis , with a focus on informal settlements and sustainability in the Global South . Research Interests : Urban resilience, smart cities in Africa, ecosystem services, WASH services, urban health inequities, remote sensing for humanitarian response, and sustainable development in Sub-Saharan Africa. Advising : Supervised PhD students including Rim Mrani, Martí Bosch Padrós, Rémi Jaligot, and Andrea Salmi, with a focus on urban morphology, health accessibility, and digital urbanism. Scientific Networks : Collaborated with institutions in Switzerland, Kenya, Côte d'Ivoire, Cameroon, and Morocco. Published in journals like Water , Science of The Total Environment , and Sustainability , addressing topics such as water distribution, sanitation safety, and urban resilience. Teaching : Leads courses on Urban Planning in the South and contributes to doctoral programs, emphasizing interdisciplinary approaches to urban challenges.

• Atmospheric Chemistry
• Air Pollution
• Environmental Health
• +۳ مورد دیگر

Professor William (Bill) Bloss is an atmospheric scientist at the University of Birmingham, serving as Head of the College of Life & Environmental Sciences. His research integrates laboratory studies, field measurements, and numerical models to address air pollution sources, transformations, and policy implications. PhD in Atmospheric Chemistry, University of Cambridge BA in Natural Sciences (Chemistry), University of Cambridge Research focuses on: Urban air pollutant sources and transformations (e.g., Delhi, Birmingham) Atmospheric oxidant dynamics and reactive nitrogen cycles Policy-driven air quality improvement via projects like WM-Air and ASAP-Delhi Recent publications emphasize: Street-scale pollution modelling Particulate matter source apportionment Climate risk mapping methodologies Scientific recognition includes: Fellow of the Royal Society of Chemistry (FRSC) Chair of RSC Environmental Chemistry Group (2012–2015) Advisory roles span: Clean Air Advisory Panel for Wales Strategic Advisory Board, RESAS Scotland

Dan Steinbergمشاهده پروفایل

عضو هیئت علمی

• Probabilistic Machine Learning
• Variational Inference
• Bayesian Deep Learning
• +۷ مورد دیگر

Dan Steinberg is a senior research scientist and team leader of the Decisions & Statistical Learning team at CSIRO Data61 in Canberra, Australia. His expertise lies in probabilistic machine learning, variational inference, Bayesian deep learning, causal inference, and their application to domains spanning synthetic biology, geospatial analytics, and algorithmic fairness. Education PhD in Computer Vision / Machine Learning (2013) – University of Sydney, Australian Centre for Field Robotics Bachelor of Engineering (Mechatronics, First-Class Honours) – University of Sydney (2008) Bachelor of Commerce (Finance) – University of Sydney (2008) Research Interests Steinberg’s core research agenda revolves around building scalable probabilistic models that can learn efficiently from limited or noisy data and provide principled uncertainty estimates. Key themes include: Variational Inference & Bayesian Deep Learning: developing lightweight yet powerful algorithms for approximate posterior inference in complex models (e.g., Aboleth, Revrand). Active Learning & Experimental Design: creating methods that decide which experiments or measurements will maximise information gain, with recent focus on in-silico protein engineering via Variational Search Distributions (VSD). Causal Inference: leveraging machine-learning tools to perform robust observational causal studies for evidence-based policy, including work on youth well-being and academic outcomes. Algorithmic Fairness: translating normative notions of equity into quantifiable objectives for regression-based decision systems. Large-scale Spatial Analytics: Landshark—an open-source TensorFlow toolkit for supervised learning on massive geospatial raster datasets. Notable Software & Tools Aboleth: A minimal-overhead TensorFlow framework for Bayesian deep learning. Landshark: Command-line tools for large-scale spatial inference. Revrand: Scalable Bayesian generalised linear models with non-conjugate likelihoods. libcluster: Extensible C++ library for hierarchical Bayesian clustering. Scientific Awards Oral Presentation Award – ICML 2025 Workshop on Scaling up Intervention Models (SIMS) Oral Presentation Award – NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty (BDU) Oral Presentation Award – NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning Spotlight Paper Award – NeurIPS 2014 (Extended and Unscented Gaussian Processes) Research Team & Collaborations As Team Leader – Decisions & Statistical Learning at CSIRO Data61, Steinberg directs a multi-disciplinary group that partners with government agencies (e.g., Jobs and Skills Australia, Australian Institute of Health and Welfare) and industry to deploy machine-learning solutions at scale. He has previously held roles as Principal Researcher at Gradient Institute (2019-2023), Senior Research Engineer at CSIRO Data61 (2016-2019), Researcher at NICTA (2013-2016), and Research Associate at the University of Sydney (2012-2013).

Mohamed Allaliمشاهده پروفایل

دانشیار

• Data Engineering
• Machine Learning
• Climate Data Analysis
• +۳ مورد دیگر

Mohamed Allali is an Associate Professor at Chapman University, affiliated with both the Fowler School of Engineering (Department of Electrical Engineering and Computer Science) and Schmid College of Science and Technology (Department of Mathematics). His research spans data engineering, machine learning, climate informatics, and mathematical education. He has contributed to constraint-based intelligent tutoring systems, data drift detection using KL divergence, and geospatial analysis for environmental monitoring. Education: University of Oklahoma (BS, MA, PhD). His recent work focuses on data distribution divergence, climate modeling for sea turtle habitats, and neural network applications in medical imaging. He has collaborated extensively on drought indices, satellite data validation, and educational technologies. His publications highlight expertise in statistical learning, computational methods, and interdisciplinary environmental applications.

• Grid Computing
• Parallel Computing
• Cloud Computing
• +۴ مورد دیگر

Vladimír Siládi, PhD, serves as Assistant Professor and Head of the Department of Computer Science at Matej Bel University in Banská Bystrica, Slovakia, where he has held academic positions since 1995. His current roles include Project Coordinator for the Virtual University initiative and Registration Authority for SlovakGrid, with prior experience as a part-time Assistant Professor at Slovak University of Technology. Educational Background: PhD in Computer Science, Slovak University of Technology in Bratislava (1997-2007) Master's in Theology, Comenius University in Bratislava (2003-2008) Master's in Secondary Education and Teaching (cum laude) and PaedDr. (EdD), Matej Bel University (1988-1993, 2005) High School Diploma, GMN Banská Štiavnica (1984-1988) His research centers on Grid Computing architectures , parallel processing techniques , and security frameworks for distributed systems . Specialized expertise includes GPU-accelerated algorithms for NP-hard problems, trust models in ad hoc grid environments, and cloud-based educational platforms. His interdisciplinary work bridges computer science with environmental modeling and psychological applications through virtual reality systems. Publication analysis reveals a consistent focus on computational optimization across 12 major works (2006-2014), with recent contributions emphasizing trust intersection models for decentralized grids (2012-2013) and cloud-based educational infrastructure (2013). Earlier works established foundations in GPU-accelerated network topology optimization and genetic algorithms for irregular systems (2006-2010). Scientific Awards: No awards documented in source materials Project leadership includes the Virtual University of Matej Bel University (ITMS 26110230077) coordinating 85 team members across 280 courses, plus TEMPUS-FLACE distance learning development (1998-2000). His registration authority role for SlovakGrid since 2009 supports national research infrastructure. Departmental leadership involves managing the Computer Science team while teaching core courses in algorithms, grid technologies, and GPU programming, maintaining consultation hours for student engagement.

Sivasakthy Selvakumaranمشاهده پروفایل

پژوهشگر ارشد

• Civil Engineering
• Remote Sensing
• Infrastructure Monitoring
• +۳ مورد دیگر

Sivasakthy Selvakumaran is a Research Fellow at the University of Cambridge's Department of Engineering, affiliated with Isaac Newton Trust and Newnham College. Her work focuses on applying satellite imaging technologies like InSAR to monitor millimetre-scale earth surface movements for assessing built environment infrastructure resilience. Current role: Isaac Newton Trust / Newnham Fellow in Engineering Institution: University of Cambridge Department: Engineering Her research bridges civil engineering, geoinformatics, and remote sensing to predict structural failures in urban infrastructure. She specializes in integrating Interferometric Synthetic Aperture Radar (InSAR) with conventional surveying methods and digital engineering models to enhance infrastructure monitoring capabilities. Sakthy's publications highlight her expertise in using InSAR stacking techniques for bridge scour detection and developing earth observation frameworks. As a Chartered Civil Engineer with global experience, she has worked on mega-projects like Crossrail in London, post-earthquake housing reconstruction, and industry R&D roles before returning to academia to establish a research group focused on earth observation applications.

• Marine Biology
• Environmental Science
• Seagrass Ecology
• +۵ مورد دیگر

Agostino Tomasello is an Associate Professor in the Department of Earth and Marine Sciences at the University of Palermo. His academic position (BIOS-01/C classification) reflects his specialization in marine biological systems, with particular focus on Mediterranean seagrass ecosystems. He maintains regular office hours both at the main campus (Viale delle Scienze building 16) and at the Trapani teaching center for Biotechnology students. Dr. Tomasello's research interests center on marine ecology, particularly the biology and conservation of Posidonia oceanica seagrass meadows. His work spans environmental monitoring, coastal management, and the impacts of human activities on marine ecosystems. He has extensively studied seagrass transplantation, habitat mapping using acoustic technologies, and the effects of environmental stressors including climate change and ocean acidification. His publication record demonstrates expertise in both field research and advanced statistical modeling of marine ecological data. The 15 most recent articles show consistent focus on Posidonia oceanica ecosystems, with methodologies ranging from morphological analysis to geospatial modeling. His research has important implications for marine conservation and management of Mediterranean coastal environments. Dr. Tomasello actively supervises graduate students, with recent theses focused on marine biology topics including seagrass mapping, environmental monitoring, and restoration ecology. His work with students demonstrates practical application of research to real-world conservation challenges.

Scott Michael Bartellمشاهده پروفایل

استاد

• Environmental Health
• Exposure Assessment
• Environmental Epidemiology
• +۵ مورد دیگر

Scott Michael Bartell is a Professor and currently serves as the Vice Dean of Academic Affairs at the Joe C. Wen School of Population and Public Health, University of California, Irvine. He has been at UCI since 2006, progressing from Assistant Professor to Associate Professor and ultimately to Professor. His academic journey includes positions at Emory University and research experiences at UC Davis and the University of Washington. Dr. Bartell earned his educational credentials from prestigious institutions: Ph.D. in Epidemiology from University of California, Davis (2003) M.S. in Statistics from University of California, Davis (2001) M.S. in Environmental Health from University of Washington School of Public Health (1996) B.A. in Environmental Sciences from University of California, Berkeley (1994) Dr. Bartell's research focuses on environmental health methodology, exposure assessment, environmental epidemiology, and risk analysis , with particular expertise in per- and polyfluoroalkyl substances (PFAS). His work bridges statistical methods with practical environmental health applications, developing tools like the Blood PFAS Calculator and the MapGAM R package for spatial epidemiology. His research has been featured in prominent media outlets including Veritasium. Analysis of Dr. Bartell's recent publications (2023-2025) reveals a strong focus on PFAS exposure assessment and health effects, particularly in vulnerable populations including children, adolescents, and pregnant women. His work increasingly integrates multi-omics approaches with traditional epidemiological methods, examining how environmental exposures affect metabolic pathways, liver function, and neurological outcomes. Much of this research leverages the Teen-LABS cohort studying adolescents undergoing bariatric surgery. Dr. Bartell's scientific contributions have been recognized with several awards: Chancellor's Fellow (2023-2026) Excellence in Service Award (2025) Recognition for Outstanding Leadership Award (2019) As an academic leader, Dr. Bartell has directed doctoral programs, increased enrollment by 7% annually, and facilitated curriculum revisions for CEPH re-accreditation. He has mentored numerous graduate students, with several first-author publications by students. His administrative roles have expanded from Director of Doctoral Degrees to Associate Dean and now Vice Dean of Academic Affairs, overseeing degree programs serving over 1,600 students. Dr. Bartell leads the Spatial Epidemiology Research Group at UCI and is actively involved in multiple research projects including the UCI PFAS Health Study. His work often involves interdisciplinary collaborations across environmental health, statistics, and clinical medicine.