Find Academic Supervisors

• Vascular Biology
• Atherosclerosis
• Arterial Stiffness
• +2 more

Dr. Stella Daskalopoulou is a Senior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) and a Professor in the Department of Medicine at McGill University's Faculty of Medicine and Health Sciences. She specializes in translational cardiovascular research with a focus on vascular health, atherosclerosis, and hypertension management. Senior Scientist, RI-MUHC Glen site Professor, Department of Medicine, McGill University Member, Cardiovascular Health Across the Lifespan Program Research Focus: Her work integrates biomedical technology with clinical investigation to identify early vascular impairment markers. Key areas include: Arterial stiffness and hemodynamic assessment Adiponectin signaling pathways in atherosclerosis Sex-specific cardiovascular risk stratification Biomarker discovery for plaque instability Pregnancy-related vascular complications Machine learning applications in plaque classification Scientific Engagement: Dr. Daskalopoulou contributes to hypertension guideline development (2024 ESC Guidelines) and explores environmental impacts on vascular health (household pollution studies). Her recent publications emphasize: Deep learning for plaque characterization Sex hormone receptor pathways in atherosclerosis Adipokine interactions with HDL metabolism Clinical decision tools for preeclampsia prediction Laboratory: Leads the Vascular Health Unit at RI-MUHC, combining histopathology, immunophenotyping, and advanced imaging for translational research.

Marc HenryView profile

Professor

• Microeconometrics
• Optimal Transport
• Inequality Measurement
• +3 more

Marc Henry is a Liberal Arts Professor of Economics at Pennsylvania State University, serving as the Graduate Program Director in the Department of Economics. He holds a Ph.D. from the London School of Economics (1999). His research focuses on microeconometrics, optimal transport, inequality measurement, and environmental engineering applications in pollution control. Key research interests include the application of the Roy model to analyze occupational segregation and STEM participation, optimal transport theory for inequality measurement, and experimental design for nanoparticle removal in waste incineration systems. His work bridges econometric theory with practical policy analysis, particularly in gender economics and environmental technology. Recent publications highlight themes such as multidimensional inequality indices, hedonic equilibrium identification, and the design of scrubbers for particulate matter control. His contributions span both theoretical advancements (e.g., vector copulas, Sklar theorem extensions) and applied environmental engineering solutions. Dr. Henry’s research has been disseminated through venues like Google Scholar, with a focus on combining rigorous statistical methods with real-world policy implications. His academic activities include advising on graduate programs and maintaining a research website: https://sites.google.com/site/mabhenry/ .

Domenico CicchellaView profile

Associate Professor

• Geochemistry
• Environmental Monitoring
• Soil Contamination
• +7 more

Domenico Cicchella is an Associate Professor in the Department of Science and Technology at the University of Sannio, Italy, specializing in Geochemistry and Volcanology (GEO/08). With over two decades of academic experience, he has established himself as a leading researcher in environmental geochemistry, particularly in soil and water contamination studies in the Campania region of southern Italy. His research interests span multiple critical areas of environmental geochemistry: Urban and regional geochemical mapping Heavy metal and potentially toxic element (PTE) analysis in soils Environmental risk assessment methodologies Application of advanced statistical techniques to geochemical data Water pollution monitoring and assessment Integration of compositional data analysis with machine learning approaches Geochemical background determination Analysis of his publication record reveals a strong focus on developing innovative methodologies for environmental assessment, particularly through the "Campania Trasparente" project - a comprehensive multimedia monitoring initiative. His work increasingly incorporates advanced data analysis techniques including compositional data analysis, multivariate statistics, and machine learning applications to address complex environmental challenges in urban and regional settings. His research spans from fundamental geochemical studies to practical applications for environmental management and public health protection. Professor Cicchella maintains an active research profile with numerous collaborations across Italy and internationally, contributing significantly to our understanding of environmental contamination patterns and developing practical approaches for risk assessment and management. His work has appeared in leading journals including Journal of Geochemical Exploration, Applied Geochemistry, and Science of the Total Environment, demonstrating both academic rigor and practical relevance to environmental challenges.

• Land-system science
• Geospatial intelligence
• Remote sensing
• +7 more

Dr. Narcisa Pricope is Professor of Geography and Geospatial Science in the Department of Geosciences at Mississippi State University (MSU) and concurrently serves as Associate Vice President for Research in MSU’s Office of Research and Economic Development. Previously, she spent a decade at the University of North Carolina Wilmington (UNCW) where she founded and directed multiple high-profile programs, including the NSF-funded Coastal UAS Observatory and the USGIF-accredited Geospatial Intelligence certificate. Education PhD in Geography (minor Environmental Engineering), University of Florida, 2011 MSc in Geosciences, Western Kentucky University, 2006 BA in Geography and English, Babeș-Bolyai University, Cluj-Napoca, Romania, 2004 Research Interests Dr. Pricope is a land-systems scientist who integrates geospatial modelling, remote sensing, and unoccupied aerial systems (UAS) to investigate complex socio-ecological interactions at the food-water-energy nexus. Her work emphasizes understanding environmental variability and human vulnerability to land degradation, drought, and climate change, with a strong commitment to community-engaged research across dryland regions in eastern and southern Africa, Peru, Nepal, and coastal/inland North America. Key methodological thrusts include: Advanced machine-learning and geostatistical analytics Multi-scale remote sensing (satellite, airborne, UAS) Topobathymetric LiDAR for coastal and inland water management GeoAI and geospatial intelligence capacity building Research Trends from Recent Publications Across more than 50 peer-reviewed articles, Dr. Pricope’s recent work demonstrates a pronounced focus on global drying trends, precision mapping of coastal and inland ecosystems, and the deployment of machine-learning techniques to tackle environmental challenges such as salinity intrusion, vegetation classification, and heavy-metal contamination. A strong policy-oriented thread is evident, with several 2024–2025 publications calling for urgent adaptive solutions to aridification and integrating climate policy with disaster planning. Scientific Awards 2022 UNCW Graduate Faculty Mentor Award 2022 Discere Aude Mentorship Award 2021 UNCW College of Arts and Sciences Research Award Grants & Strategic Initiatives Dr. Pricope has secured funding from NSF, NASA, NOAA Sea Grant, USAID, World Bank, Global Environment Facility, NCDOT and NGA, among others. At MSU she leads strategic initiatives in climate resilience, GeoAI programming, and university-wide research support. Laboratories & Teams She previously directed the NSF-funded UNCW Coastal UAS Observatory and oversaw the FAA Collegiate Training Initiative in UAS, positioning UNCW as a national hub for geospatial intelligence education and research. At MSU, she continues to foster interdisciplinary collaboration across geosciences, engineering, and social sciences.

• Limnology
• Hydrography
• Ecology
• +5 more

Prof. Dr. Ekrem MUTLU serves as a full-time Professor in the Department of Geography at Kastamonu University's Faculty of Humanities and Social Sciences since 2025, following his promotion from Associate Professor (2023-2025). Previously, he held academic positions at the Faculty of Fisheries (2013-2023), including roles as Assistant Professor and Department Chair. His extensive academic service includes membership in University Senate (2020-2022), Faculty Administrative Board, and leadership of the Social Responsibility Unit. Dr. MUTLU earned his PhD in Fisheries Engineering from Atatürk University (2013), Master's in Aquaculture from Mustafa Kemal University (2004), and BSc in Fisheries from Ondokuz Mayıs University (1999). His research focuses on limnology, hydrography, and ecology with particular emphasis on freshwater systems, water quality assessment, heavy metal pollution, and environmental toxicology across Anatolia's river basins and reservoirs. His scholarly output demonstrates significant expertise in water quality assessment methodologies, particularly through Water Quality Index applications and multivariate statistical analyses. Recent publications reveal strong emphasis on Black Sea basin hydrology, dam/reservoir ecosystems, and health risk assessments related to heavy metal contamination in freshwater systems. His work bridges environmental science with practical applications for sustainable water resource management. 2024 B-field highest publication award recipient at Kastamonu University TÜBİTAK International Scientific Publications Incentive Award (2004) Multiple ministry acknowledgments from Orman ve Su İşleri Bakanlığı (2015-2016) Consistent university commendations since 2013 As an active thesis supervisor, he has guided 15 graduate students (2017-2025) across sustainable agriculture, fisheries engineering, and environmental science disciplines. His leadership extends to directing 24 research projects funded by national institutions, including comprehensive water quality assessments of Çavuşköy Deresi, Sevindik Göleti, and Kirazlıköprü Barajı. He also commands the Aras Research and Application Vessel and oversees the Water and Wastewater Analysis Laboratory. Dr. MUTLU maintains active research collaborations with institutions including Trakya University, Eskişehir Osmangazi University, and Giresun University, with his work contributing significantly to regional water resource management strategies in northern Turkey.

Yifeng ZhangView profile

Professor

• Microbial Electrochemistry
• Carbon Capture & Utilization
• Wastewater Treatment
• +5 more

Yifeng Zhang is a Professor at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU). His research focuses on advanced electrochemistry in environmental and resource engineering, including wastewater treatment, resource recovery, microbial electrochemistry, and sustainable carbon capture. He leads the Water Technology & Processes group and the DTU Microbes Initiative. Zhang holds a PhD from DTU (2012) and has secured over 60 million DKK in research funding, including the prestigious Carlsberg Foundation Distinguished Fellowship. His work contributes to UN SDGs related to clean water, affordable energy, and climate action. Education: Ph.D., Technical University of Denmark (2009–2012) M.Sc., Dalian University of Technology (2005–2009) Research Interests: Microbial electrochemistry Carbon capture and utilization Wastewater treatment and resource recovery Electrocatalysis and electrochemical sensors Environmental bioremediation Awards: James J. Morgan Early Career Award (ACS, Honorable Mention) Carlsberg Foundation Distinguished Fellowship World’s Top 2% Scientists His research has produced over 200 publications and 3 patents, with a focus on translating innovations into practical solutions. Current projects include microbial electrosynthesis for single-cell protein production, carbon capture via bioelectrochemical systems, and sustainable wastewater treatment technologies.

Emily KangView profile

Professor

• Spatial Statistics
• Environmental Statistics
• Data Assimilation
• +2 more

Emily Kang is a Professor in the Department of Mathematical Sciences at the University of Cincinnati, where she leads the Group on Data Analytics and Decision Sciences (GDADS). Her research develops statistical methodologies for spatial and spatio-temporal data, with applications in environmental science, climate modeling, and remote sensing. Kang specializes in hierarchical Bayesian models, data assimilation techniques, and scalable algorithms for large environmental datasets. Her work includes developing the EcoPro framework for ecological projections using Earth system models and remote sensing data, creating statistical downscaling methods for climate variables, and designing visualization tools for global environmental data on multi-resolution grids. Kang received the American Statistical Association's ENVR Early Investigator Award for contributions to environmental statistics. Current projects focus on neighborhood-scale extreme heat projections, coral reef habitability under climate change, and recursive co-kriging models for multi-fidelity spatial data. Her research advances uncertainty quantification in remote sensing products and climate impact assessments.

• Marine and Estuarine Ecology
• Estuaries
• Fisheries Management
• +8 more

James Tweedley is a Senior Lecturer at Murdoch University, affiliated with the School of Environmental and Conservation Sciences within the College of Environmental and Life Sciences. He is also part of the Centre for Sustainable Aquatic Ecosystems and Harry Butler Institute. His research focuses on aquatic ecosystem health, fisheries management, and restoration strategies, with particular expertise in estuarine ecology and benthic macroinvertebrates. Education: Tweedley holds a BSc (Marine Biology) from the University of Portsmouth (2005), an MRes in Marine Biology from the University of Plymouth (2006), and a PhD in Marine Science from Murdoch University (2011). Research Interests His work spans two core areas: (1) understanding ecological linkages between fish/invertebrate communities and environmental drivers to develop estuarine health indices, and (2) fisheries management including aquaculture-based enhancement, artificial reefs, and socio-economic dimensions of fishing. Recent projects address eutrophication mitigation via mussel habitat restoration, barrier impacts on fish migration, and invasive species effects on ecosystems. Key Contributions Tweedley has pioneered methods for assessing fish communities in hypersaline environments and evaluated artificial reef effectiveness in temperate waters. His work on mass mortality events and tidal exclusion barriers provides critical insights for conservation planning. Awards - Young Tall Poppy and West Australian Young Tall Poppy of the Year (2021) - Recognizing outstanding research and science communication. Grants & Collaboration Funded projects include shellfish reef restoration studies and small-scale fisheries management in Indonesia. Collaborates with institutions like the Australian Institute of Policy and Science and local Indigenous communities for culturally significant estuary monitoring. Labs/Teams Leads the Sustainable Aquatic Ecosystems research group and contributes to the Harry Butler Institute’s coastal resilience initiatives.

John HughesView profile

Associate Professor

• Biostatistics
• Health Data Science
• Statistical Computing
• +6 more

John Hughes, PhD, is an Associate Professor and Chair of the Department of Biostatistics and Health Data Science at Lehigh University's College of Health. With nearly 30 years of experience in higher education, he has held positions at institutions including Frostburg State University, the University of Minnesota, and Pennsylvania State University. His methodological research focuses on statistical models for dependent data, Bayesian methods, and spatial and spatiotemporal analysis. He has developed numerous software packages for R and Perl, including copCAR , ngspatial , and krippendorffsalpha . Dr. Hughes' interdisciplinary work spans environmental health, bioimaging, vaccine hesitancy, and spatial epidemiology of HPV-related cancers. He has consulted for organizations such as the Courage Kenny Research Center and Temple University. His education includes a PhD in Statistics from Penn State University and an MS in Applied Computer Science from Frostburg State University. His research emphasizes statistical computing and the application of advanced models to health data. Recent work includes methodologies for agreement coefficients, environmental noise measurement, and spatial analysis of vaccination refusal patterns. Dr. Hughes teaches courses in biostatistics, data science, and programming, reflecting his dual role as a teacher-scholar. Professional contributions include software development, collaborative research projects, and academic leadership. His work bridges computational innovation and real-world health challenges, positioning him as a key figure in modern biostatistical research.

• Applied Statistics
• Biostatistics
• Time Series Analysis
• +3 more

Dr. Carolina Euan is a Lecturer in Statistics at the School of Mathematical Sciences, Lancaster University, with affiliations to the Data Science Institute and STOR-i Centre for Doctoral Training. Her research focuses on time series analysis, spatio-temporal modeling, and their applications in environmental data science and brain data analysis. School of Mathematical Sciences Data Science Institute STOR-i Centre for Doctoral Training Biostatistics Research Group Centre of Excellence in Environmental Data Science Her work spans multiple disciplines: Environmental Data Science: Marine heatwaves, solar irradiance modeling, particle number size distribution Brain Data Analysis: Neural connectivity, brain signal clustering, coherence-based inference Statistical Methodology: Spatio-temporal extremes, spectral estimation, functional data analysis Recent publications demonstrate expertise in: 2025: Neural connectivity modeling, functional data analysis, particle distribution 2024: Virtual collaboration frameworks, precipitation regime modeling, spectral estimation 2023: Brain signal clustering, source apportionment, directional wave spectra Supervision includes: Kajal Dodhia: STOR-i (extreme sea temperatures) Jordan Hood: Bayesian modeling (COVID prevalence) Carla Pinkney: STOR-i

• Statistics
• Categorical Data Analysis
• Survey Methodology
• +3 more

Thomas Suesse is a Senior Lecturer at the School of Mathematics and Applied Statistics, University of Wollongong, with a career spanning institutions in Germany, New Zealand, and Australia. His academic journey includes a M.Sc. in Mathematics from Friedrich-Schiller-University Jena (2003) and a PhD in Statistics from Victoria University of Wellington (2008). Education: M.Sc. in Mathematics (FSU Jena, 2003), PhD in Statistics (VUW, 2008) His research focuses on Statistics, particularly Categorical Data Analysis, Social Network Modeling, and Spatial Statistics. Recent work explores variational Bayes inference for spatial autoregressive models, environmental extreme value detection algorithms, and the impact of missing data in statistical models. His publications span topics in public health, environmental science, and educational methodology. Key trends in his 15 most recent articles (2021-2025) include advancements in spatial statistics, applications of social network analysis to finance, and educational research comparing laboratory teaching objectives. He has also contributed to understanding pandemic effects on child health and activity patterns. Scientific Awards: 2008 VUW PhD thesis submission award; 2005-2008 VUW Postgraduate Scholarship. Thomas co-supervises PhD students on topics like spatial autoregressive modeling with missing data and variance estimation in mixture models. He has secured internal grants for computational infrastructure upgrades and studies on child movement behaviors. His professional affiliations include the Statistical Society of Australia.

• Environmental Physics
• Atmospheric Science
• Air Pollution Monitoring
• +3 more

Mirjana Perišić is an Associate Professor at Singidunum University and a Senior Research Associate at the Institute of Physics, University of Belgrade. She holds a PhD in Experimental Physics (2016) from the University of Belgrade. Her expertise spans environmental physics and chemistry, with a focus on atmospheric science, air pollution monitoring, and AI-driven environmental data analysis. She has contributed to projects like Horizon 2020 and COST Actions, addressing air quality, climate change, and environmental health. Her research employs statistical modeling, machine learning, and receptor modeling techniques. Education: High School in Čačak (Natural Sciences), BSc in General Physics (University of Belgrade, 1998–2007), PhD in Atomic Physics (University of Belgrade, 2007–2016). Research Interests: Her work emphasizes AI applications in environmental fate analysis, particulate matter (PM) dynamics, polycyclic aromatic hydrocarbons (PAHs), and volatile organic compounds (VOCs). She explores the impact of environmental settings on indoor/outdoor pollution and leverages explainable machine learning (e.g., XGBoost, SHAP) for predictive modeling. Publications: Over 10 peer-reviewed articles since 2014, focusing on air pollution sources, climate change implications, and AI-based frameworks for environmental monitoring. Recent work addresses toluene behavior, PAHs distribution, and post-pandemic pollution trends. Awards: None explicitly mentioned in the text. Advising/Grants: No advising students listed. Grants and policy contributions include air quality management plans and collaborative projects with international partners. Labs/Teams: Active in the Institute of Physics, University of Belgrade, and interdisciplinary teams at Singidunum University focusing on environmental data science.

• Geotechnical Engineering
• Site Characterization
• Novel Sensing Technology
• +6 more

Pradeep U. Kurup is a Distinguished University Professor in the Department of Civil and Environmental Engineering at the Francis College of Engineering, University of Massachusetts Lowell. He has been serving at UMass Lowell since 1997, progressing from Assistant Professor to Associate Professor (2001), Full Professor (2005), and ultimately to University Professor (2014), which is the highest faculty honor at UMass Lowell. Dr. Kurup's educational background includes: Ph.D. in Civil and Environmental Engineering (1993) from Louisiana State University M.Tech. in Civil Engineering (1987) from Indian Institute of Technology - Madras, India B.Tech. in Civil Engineering (1985) from University of Kerala, India Dr. Kurup's research focuses on the intersection of geotechnical engineering and advanced sensing technologies. His work spans multi-sensor data fusion for site characterization, novel sensing technology applications, finite element modeling, artificial neural networks for soil mechanics, calibration chamber testing, soil-structure interaction, and "Seeing-Ahead Techniques" for trenchless technologies. His recent publications demonstrate a strong trend toward integrating machine learning techniques with geotechnical instrumentation, particularly in developing electronic noses and tongues for environmental monitoring and contamination detection. Dr. Kurup has received numerous awards and honors, including University Professor (2014), Diplomat Geotechnical Engineering (2012), NSF CAREER Award (1999-2003), and CERF Career Development Award (1999). Dr. Kurup has secured substantial research funding from NSF, Federal Highway Administration, EPA, and U.S. Army Research Office. His research collaborations span academia, industry, and government agencies globally, including partnerships with Geoprobe Systems Inc., Fugro Engineers Inc., Norwegian Geotechnical Institute, and several international universities. Dr. Kurup leads research in innovative sensing technologies for geoenvironmental applications, including electronic noses for detecting hazardous chemicals and explosives, electronic tongues for heavy metal detection, and advanced cone penetrometer systems for subsurface characterization.

Charlotta TurnerView profile

Professor

• Analytical Chemistry
• Green Chemistry
• Sustainable Development
• +4 more

Charlotta Turner is a Professor at the Centre for Analysis and Synthesis , Lund University , and serves as Vice Dean of the Faculty of Science . Her research focuses on analytical chemistry for sustainable development , particularly the use of green solvents such as supercritical carbon dioxide and subcritical water in extraction and separation methods. UN Sustainable Development Goals (SDGs) contributor Manager of High Pressure Fluid Facility and Mass Spectrometry Infrastructure Principal Investigator (PI) for projects like Miljövänlig superkritisk process för växtoljor and Quantitative fingerprinting of chemical contaminants in pollinating insects Her work addresses sustainable extraction of valuable substances from food, forest, agricultural, and marine industries . Recent publications highlight advancements in phlorotannin characterization , berry bioactives , and lignin molecular weight analysis . She has supervised 12 research projects and leads teams in KILU/CAS infrastructure . Turner has received multiple awards, including the Svante Arrhenius Award (2017) and Herbert Dutton Award (2015) .

• Survival Analysis
• Spatio-Temporal Modeling
• Bayesian Statistics
• +7 more

Maria Antonia Barceló Rado is a Professor at the Department of Economics, University of Girona, and a member of the Research Group on Statistics, Econometrics and Health (GRECS). She is also affiliated with the Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP) and collaborates with the Centre de Recerca en Economia i Salut (CRES) at Pompeu Fabra University. Her research spans methodological advancements in survival analysis, spatio-temporal modeling, Bayesian statistics , and applied work in clinical epidemiology, environmental epidemiology, cardiovascular risk factors, chronic diseases , and cancer epidemiology . She has developed a mixed-methods line combining Real World Data with Real World Evidence for epidemic prevention and detection. Licenciate in Mathematics (Universitat Autònoma de Barcelona, 1995) PhD in Mathematics (University of Girona, 2001) Accredited as Catedràtica d’Universitat (ANECA, 2018) Her recent publications focus on environmental stressors , air pollution effects , and spatio-temporal modeling across Spain. Articles address mental health in adolescents , vaccination equity , Covid-19 impacts , and chronic disease epidemiology . Collaborations include institutions like Johns Hopkins University, Pompeu Fabra University, and hospitals in Bellvitge and Barcelona.