جست‌وجوی استاد و پژوهشگر

Jennifer C. Murphyمشاهده پروفایل

استاد مدعو

• Water Quality
• Sediment Transport
• Hydrological Trends
• +۲ مورد دیگر

Jennifer C. Murphy is an Adjunct Professor at Tulane University's School of Science & Engineering and a Research Hydrologist with the US Geological Survey. Her research focuses on water quality trends in US river systems, analyzing sediment, nutrient, and salinity dynamics using large-scale data integration and statistical modeling. Research develops novel approaches to characterize changes in continental-scale river systems, examining impacts of land use, hydrology, and climate on sediment transport and nutrient loading. Current projects investigate sediment dynamics in the Lower Mississippi-Atchafalaya Basin and harmful algal bloom formation mechanisms. Dr. Murphy teaches courses in river sampling methodology and leads the USGS Water Quality Proxies project. Her work integrates data from multiple agencies to create comprehensive assessments of freshwater ecosystem health.

Stephen Heardمشاهده پروفایل

استاد

• Plant-insect interactions
• Evolutionary Ecology
• Biodiversity
• +۳ مورد دیگر

Stephen Heard is a Professor in the Department of Biology at the University of New Brunswick. His research focuses on ecological controls on the evolution of biodiversity, particularly plant-insect interactions, evolution of diet specialization, and biodiversity patterns. Educational History: BSc (Biology), University of Waterloo PhD, University of Pennsylvania (1993) Postdoctoral Fellow, University of British Columbia Research explores how species interactions shape ecological communities and clades. Current projects investigate diet specialization in insect herbivores, forest pest ecology, and goldenrod-insect systems. Work integrates field ecology with comparative and theoretical approaches. Awards and Honors: University Research Scholar (2019-2021) Vice President, Canadian Society for Ecology and Evolution Advising and Labs: Leads an active research group studying ecological evolution. Current graduate students include Lauren Stead (spruce budworm ecology), Mallory MacDonnell (invasive beetles), and Jennifer Anderson (beetle hybridization).

Lorrie Reaمشاهده پروفایل

استاد پژوهشی

• Marine Ecotoxicology
• Stable Isotope Analysis
• Mercury Dynamics in Ecosystems
• +۳ مورد دیگر

Lorrie Rea is a Research Professor at the University of Alaska Fairbanks, affiliated with the Marine Ecotoxicology and Trophic Assessment Laboratory (METAL) and the Water and Environmental Research Center. Her work focuses on mercury dynamics, stable isotope analysis, and physiological adaptations in marine mammals. Current projects include mercury transport in Aleutian food webs Stable isotope applications for diet assessment Physiological responses to environmental stressors Biochemical adaptations during marine mammal fasting Research grants from NSF, NOAA, and industry partners fund her work on contaminant pathways, conservation physiology, and marine ecosystem health. Her publications examine mercury concentrations, lipid dynamics, and biomarker development in Steller sea lions and related species. Collaborations span multiple institutions including the Alaska Department of Fish and Game and Hilcorp Alaska.

• Environmental science
• Animal sciences
• Ecology and evolutionary biology
• +۴ مورد دیگر

Ross Goldingay is an Adjunct Professor in the Faculty of Science and Engineering at Southern Cross University (SCU), specializing in wildlife ecology. He holds a BSc(Hons) from the University of New South Wales and a PhD from the University of Wollongong, completed part-time while researching the ecology of the yellow-bellied glider. His career at SCU spans over 27 years, with a focus on arboreal mammals, pollination ecology, and habitat restoration. He has authored over 150 peer-reviewed publications and book chapters. Ross teaches second-year Ecology and Wildlife Conservation courses and serves as Editor-in-Chief of Australian Mammalogy . Education: BSc(Hons), University of New South Wales PhD, University of Wollongong Postdoctoral Research, University of California Riverside Research Interests: Threatened species ecology (gliders, koalas, frogs) Habitat restoration via glide poles and nest boxes Fire ecology impacts and post-wildfire recovery Urban wildlife conservation strategies His research highlights include pioneering habitat restoration techniques and long-term monitoring of species like the yellow-bellied glider. Ross actively collaborates with community groups such as the Friends of the Koala and the Bendigo Field Naturalist Club. Teaching & Supervision: Supervised 7 completed PhD and 2 MSc students, plus 25+ honours students Teaches Ecology and Wildlife Conservation courses Awards & Recognition: No specific awards listed, but recognized for extensive contributions to conservation science Labs & Teams: Editor-in-Chief, Australian Mammalogy Lead researcher in habitat connectivity projects

Jeffrey LaMondiaمشاهده پروفایل

دانشیار

• Travel Demand Modeling
• Active Transportation Safety
• Travel Behavior Analysis
• +۵ مورد دیگر

Jeffrey LaMondia is an Associate Professor in the Department of Civil and Environmental Engineering at Auburn University's Samuel Ginn College of Engineering. His research expertise includes travel demand modeling, active transportation safety, and discrete choice analysis, with a focus on equitable planning for vulnerable road users and long-distance travel behavior. Ph.D. in Transportation Engineering, University of Texas M.S. in Transportation Engineering, University of Texas B.S. in Civil Engineering, University of Connecticut Dr. LaMondia pioneers advanced methodologies for travel surveys and develops technologies like smartphone applications for cyclist route tracking, GIS-based tools for network prioritization, and longitudinal travel data collection systems. His work bridges transportation engineering with sustainability and social equity, particularly in rural and suburban contexts. Recent publications explore transportation resilience frameworks, climate-conscious travel behavior, GIS-enabled equitable route planning, and impacts of emerging mobility services. Awards include the Resilient Roads Roundtable’s Innovators and Influencers Award, National Academies' Fred Burggraf Best Paper Award, and Auburn University's Walker Teaching Award. He mentors graduate students and collaborates with agencies like the Centers for Disease Control and Prevention (CDC) on grants such as a $4.4 million initiative to improve active transportation in Alabama. His leadership also extends to Auburn University Transportation Research Institute (AUTRI).

Nagaraj K. Neerchalمشاهده پروفایل

استاد

• Time Series Analysis
• Statistical Computing
• Environmental Statistics
• +۳ مورد دیگر

Nagaraj K. Neerchal is a Professor of Statistics at the University of Maryland Baltimore County (UMBC), Department of Mathematics and Statistics, where he has held roles including Chair since 2006 and former Interim Chair (1999-2000). He earned his Ph.D. in Statistics from Iowa State University in 1986, following B.S. and M.S. degrees from the Indian Statistical Institute. His research focuses on modeling correlated data, particularly in time series analysis and overdispersed categorical data, with applications in environmental, transportation, agricultural, and biomechanical engineering. He is also active in statistical computing and parallel computing methodologies. Neerchal has led interdisciplinary initiatives like the Math Gym and contributed to the Center for Interdisciplinary Consulting and Research (CIRC), fostering collaborative research and education. He has been recognized with the Freeman Hrabowski Innovation Award (2013), the Board of Regents’ Award (2013), and Fellowship in the American Statistical Association (2011). His administrative roles include Graduate Program Director and program development in Applied Statistics. Neerchal has advised numerous Ph.D. and M.S. students, contributing to their success in academia and industry. His grants include NSF funding for high-performance computing and statistical methodology projects. He maintains active involvement in professional societies, including the ASA and IMS, and has served on various editorial and advisory boards.

• Fisheries Management
• Aquatic Ecology
• Telemetry in Biology
• +۳ مورد دیگر

Matthew Lee is a Contract Instructor (P.Eng.) at the Faculty of Engineering and Design, Carleton University, holding an M.A.Sc. from the same institution. His expertise lies in fisheries management, aquatic ecology, and telemetry applications in biological research. He focuses on understanding fish movement patterns, habitat use, and the impacts of human activities and climate change on aquatic ecosystems. Research interests include fish migration, telemetry technology, conservation biology, and the design of sustainable aquatic systems. His work bridges engineering and environmental science, addressing challenges such as habitat connectivity, climate adaptation, and urban stream management. Recent studies emphasize the movement ecology of species like bull trout, brook trout, and sharks, exploring behavioral responses to environmental changes and human infrastructure. Key contributions include statistical modeling for conservation practitioners and evaluations of hydrokinetic turbine impacts on fish. Although no awards or grants are explicitly listed, his publications highlight methodological innovations in fish sampling and telemetry data analysis. No advising activities are noted in the provided text.

Ray Dybzinskiمشاهده پروفایل

دانشیار

• Sustainability
• Ecology
• Agricultural Science
• +۴ مورد دیگر

Ray Dybzinski, PhD Associate Professor at Loyola University Chicago's School of Environmental Sustainability, Dr. Dybzinski bridges philosophy and ecology to address sustainability and justice in food systems. With a PhD in Ecology from the University of Minnesota (2007) and dual undergraduate degrees in Physics and Philosophy from Northern Illinois University (1998), his work integrates mathematical modeling, game theory, and community collaboration. He teaches courses like ENVS 326 (Agroecosystems) and ENVS 280 (Principles of Ecology). Research Focus: Community-led sustainability initiatives, soil health, perennial agriculture, and ecological modeling. He emphasizes co-creation with marginalized communities to transform food systems through empirical and theoretical approaches. Awards & Recognition: Nominated for St. Ignatius of Loyola Excellence in Teaching Award (2021) Nominated for Loyola Faculty of the Year (2017) Nominated for Langerbeck Faculty Mentor Award (2017, 2019) Professional Affiliations: Reviews grants for NSF/DOE and manuscripts for journals like Ecology Letters and New Phytologist . Engages in interdisciplinary projects blending ecology, policy, and art.

Nicholas Nagleمشاهده پروفایل

استاد

• Spatial Statistics
• Spatial Data Science
• Demography
• +۴ مورد دیگر

Nicholas Nagle is a Professor and Program Director of the NSF Human Networks and Data Science Program at the University of Tennessee's Department of Geography. He specializes in spatial statistics, spatial data science, and demography. His research focuses on improving population survey methodologies, particularly with the U.S. Census Bureau and USDA, and integrates multi-source data like surveys and imagery. Currently on leave until August 2026, he advises on the redesign of the 2020 Decennial Census through the National Academy of Sciences. His work spans climate change demography, forest inventory estimation, and health disparities analysis. Education: Ph.D., University of California, Santa Barbara. Teaching focuses on quantitative methods and population geography. Research interests emphasize spatial data fusion, uncertainty visualization, and policy applications. Recent projects include UrbanPop (spatial microsimulation), RegRake (forest data mapping), and near-real-time pandemic monitoring. His interdisciplinary approach bridges demography, environmental science, and public health. Grants include NSF-funded work on Human Networks and Data Science. Collaborations involve federal agencies and international development projects in Mali and Florida.

Neil Spencerمشاهده پروفایل

استادیار

• Network Analysis
• Bayesian Modeling
• Forensic Statistics
• +۲ مورد دیگر

Dr. Neil Spencer is an Assistant Professor in the Department of Statistics at the University of Connecticut. His research integrates Bayesian inference, network analysis, and computational statistics, with applications ranging from forensic science to neurological disorders. He earned a PhD in Statistics and Machine Learning from Carnegie Mellon University, MSc from University of British Columbia, and BScH from Acadia University. Research focuses on developing novel methods for network data analysis (latent position models, efficient MCMC), robust Bayesian inference, and forensic statistics. Publications demonstrate consistent innovation in computational techniques for complex data structures and interdisciplinary applications. Teaching includes STAT5410 (Statistical Computing) and STAT3345Q (Probability Models for Engineers). He co-advised PhD candidate Tolani Olarinre and participates in the New England Statistical Society's NextGen committee. Research publications emphasize methodological innovations in network modeling, Bayesian computation, and experimental design, with significant applications in neuroscience and forensic science.

• Bayesian Statistics
• Biomedical Applications
• Healthcare Analytics
• +۳ مورد دیگر

Dr. Andrea Cremaschi is an Assistant Professor at IE University, specializing in Bayesian statistics with applications in biomedical research, public health, and data science. His academic journey includes roles at institutions such as the Singapore Institute for Clinical Sciences (SICS) and the National University of Singapore (NUS), where he contributed to interdisciplinary projects in biostatistics and clinical research. He holds a Ph.D. in Statistics from the University of Kent and degrees in Mathematical Engineering from Politecnico di Milano. His research focuses on developing novel Bayesian statistical methodologies for healthcare challenges, including drug sensitivity analysis in oncology, maternal and child health outcomes, and cost-effectiveness studies. He also explores applications in digital humanities and climate action, aligning with UN Sustainable Development Goals 3 (Good Health), 4 (Quality Education), and 13 (Climate Action). Key contributions include studies on postpartum diabetes screening, pediatric growth modeling, and ex vivo drug response analysis in leukemia. His work bridges computational statistics with real-world health challenges, emphasizing algorithmic innovation and interdisciplinary collaboration. Education: Ph.D. in Statistics (University of Kent), M.Sc./B.Sc. in Mathematical Engineering (Politecnico di Milano) Professional Affiliations: IE University, Singapore Institute for Clinical Sciences (SICS), National University of Singapore

Dan Bruhnمشاهده پروفایل

دانشیار

• Plant Ecophysiology
• Plant Environmental Interactions
• Climate Effects on Plants
• +۷ مورد دیگر

Dan Bruhn is an Associate Professor at Aalborg University's Department of Chemistry and Bioscience, within The Faculty of Engineering and Science. His research focuses on plant ecophysiology, environmental interactions of plants, climate effects on vegetation, and ecological monitoring using innovative technologies like drones. He leads projects on virtual fencing systems for cattle management, wildlife surveillance (e.g., European hares and raptors), and reed bed ecosystem dynamics. Key research interests include leaf respiratory physiology, nocturnal plant metabolism, methane emissions from plants, and applications of drone technology in ecology. He has contributed to studies on animal behavior, habitat management, and conservation strategies. Bruhn's work integrates field experiments, mathematical modeling, and advanced instrumentation to address ecological challenges. His projects include collaborations on thermal imaging for wildlife monitoring, rewilding initiatives, and the use of citizen science in ecological surveys. Recent studies highlight advancements in understanding plant respiration dynamics, the impact of environmental variables on metabolic processes, and technological innovations in ecological data collection. Despite extensive publications (83+), no specific scientific awards are listed. His research outputs emphasize interdisciplinary approaches linking plant biology, animal behavior, and environmental engineering to solve ecological problems.

Nicola Salvatiمشاهده پروفایل

دانشیار

• Survey Sampling
• Model-Assisted Inference
• Robust Regression
• +۴ مورد دیگر

Nicola Salvati is an Associate Professor in Statistics at the University of Pisa's Department of Economics and Management. He holds a PhD in Applied Statistics from the University of Florence (2004). His research focuses on survey sampling, model-assisted inference, robust regression, quantile and M-quantile regression, spatial statistics, and applications to poverty mapping and Big Data. He contributes to interdisciplinary studies bridging statistics with socio-economic analysis and environmental science. Research interests include developing methodologies for small area estimation, handling linked data, and addressing challenges in causal inference. His work is supported by grants from the European Union and Italy's Ministry of Research. He is a Fellow of the Italian Statistical Society and affiliated with the International Business and Human Rights focus area. Key publications emphasize temporal M-quantile models, causal small area estimation, and applications of statistical methods in air quality and healthcare analysis. His articles frequently address policy-relevant topics like poverty measurement, unemployment, and enterprise sustainability. Advances in his work include methodologies for bias correction, spatial semiparametric modeling, and robust regression techniques. He collaborates on projects involving hedonic pricing, nursing home performance evaluation, and environmental exposure assessment.

Monica S. Ruizمشاهده پروفایل

دانشیار

• HIV/AIDS
• Substance Use/Addiction
• Health Disparities
• +۵ مورد دیگر

Monica S. Ruiz is an Associate Professor at George Washington University's Milken Institute School of Public Health, Department of Prevention and Community Health, affiliated since 2008. She also serves as Co-Director of the iMCH Lab. Her work focuses on HIV prevention, substance use, and health disparities in marginalized populations, including LGBTQ+, people who use drugs, and BIPOC communities. Education: Bachelor of Arts in Psychology, Loyola Marymount University (1988) Master of Public Health in Epidemiology, University of California, Berkeley (1996) Doctor of Philosophy in Preventive Medicine, University of Southern California School of Medicine (1995) Research: Dr. Ruiz leads projects such as DC POINTE, examining policy impacts on HIV outcomes in Washington, DC. Her work evaluates syringe exchange programs, addiction treatment access, and the effects of gentrification on harm reduction services. She has held roles at NIH, amfAR, and the Institute of Medicine, emphasizing policy-driven health equity. Teaching: She teaches courses including PubH 1102 (History of Public Health), PubH 6553 (Adolescent Health), and PubH 6559 (HIV Prevention Strategies). Community Service: Dr. Ruiz serves on the Syringe Access Working Group in DC, is active in Team RWB (military veteran support), and volunteers for Dogs on Deployment (military pet care). She contributes to national committees addressing HIV/AIDS research and policy. Labs/Teams: Co-Director of the iMCH Lab, collaborating on harm reduction and policy research.

Alexander Aksenovمشاهده پروفایل

استادیار

• Metabolomics
• Mass Spectrometry
• Molecular Diversity
• +۴ مورد دیگر

Alexander Aksenov serves as Assistant Professor in the Department of Chemistry at the University of Connecticut, Storrs Campus, specializing in metabolomics and molecular diversity research. His work centers on advancing mass spectrometry techniques and data analysis methods to explore the molecular 'dark matter' within living systems. His academic foundation includes a Ph.D. from the University of Florida (2005), a Postdoctoral Fellowship at Carnegie Mellon University (2006-2008), and a B.S. from Moscow State University (1999). This training established his expertise in analytical chemistry and biological systems. Aksenov's research investigates metabolic processes through 'global' metabolomics approaches, studying living systems in situ to capture native complexity. He develops advanced mass spectrometry workflows and computational tools to extract chemical knowledge from complex biological samples, with particular focus on gut-bone axis interactions, plant-derived compounds like anthocyanins, and microbial metabolite networks. His recent publications demonstrate strong interdisciplinary integration of chemistry, biology, and data science. Analysis of his 2025 publications reveals dominant research themes: metabolomics methodology development (including AI-driven data analysis), gut microbiome-bone health interactions, plant-pathogen chemical ecology (particularly citrus-Huanglongbing systems), and nutritional impacts on metabolic profiles. His work consistently bridges fundamental molecular discovery with translational applications in human health and agricultural science. Contact: Email aaksenov@uconn.edu , Phone (860) 486-6722, Office CHEM A-421, Department of Chemistry, University of Connecticut, 55 N. Eagleville Rd, Storrs, CT 06269.