جست‌وجوی استاد و پژوهشگر

Walter Leal Filhoمشاهده پروفایل

استاد

• Climate Change
• Sustainability
• Environmental Management
• +۳ مورد دیگر

Prof. Walter Leal Filho is a distinguished academic and researcher holding professorial positions at Hamburg University of Applied Sciences (Germany) and Manchester Metropolitan University (UK). He is the founding director of the European School of Sustainability Science and Research (ESSSR) and the Inter-University Sustainable Development Research Programme (IUSDRP). With over 30 years of editorial experience, he has authored over 500 publications, focusing on sustainability, climate change, and environmental management. His research interests span Climate Change, Urban Resilience, Natural Resource Management, and Sustainability Education. He emphasizes interdisciplinary approaches to address global challenges, such as space debris mitigation and bio-based materials for sustainable packaging. His work bridges policy, education, and practical solutions for sustainable development. Prof. Leal Filho’s recent articles highlight trends in sustainable urban planning, space sustainability, and ecosystem conservation in the Amazon. He has been recognized as a Top Cited Scholar 2024, reflecting his impactful contributions. With 1,200+ co-authors and a global network, he collaborates widely, fostering international research and education initiatives. As director of ESSSR and IUSDRP, he leads programs advancing sustainability science and interdisciplinary research. His academic leadership and prolific publications underscore his role as a pivotal figure in global sustainability efforts.

Amin Keramatiمشاهده پروفایل

استادیار

• Transportation & Logistics
• Supply Chain Management
• Data Analytics
• +۴ مورد دیگر

Dr. Amin Keramati is an Assistant Professor of Supply Chain Management at Widener University’s School of Business Administration. He holds a PhD in Transportation & Logistics from North Dakota State University and previously served as a graduate research assistant at the Upper Great Plains Transportation Institute. His work includes federally funded projects like the Mountain-Plains Consortium’s MPC-550 project, focusing on highway-rail grade crossing safety. Dr. Keramati teaches courses in enterprise resource planning, decision analytics, database management, transportation/logistics, project management, and data analytics. Education: PhD in Transportation & Logistics, North Dakota State University Graduate Research Assistant at Upper Great Plains Transportation Institute Research Focus: Dr. Keramati develops mathematical, statistical, and machine learning approaches to solve complex problems in transportation, supply chain, and logistics. Key areas include data mining, big data decision support, transportation network analytics, project scheduling, smart manufacturing, and accident analysis. His interdisciplinary work bridges supply chain optimization with emerging technologies like blockchain for healthcare and clinical trials. Awards & Recognition: Student Paper Award, American Association of State Highway and Transportation Officials (2017) Grants & Projects: Lead researcher on the Mountain-Plains Consortium’s MPC-550 project, which expanded his dissertation work on safety systems for highway-rail crossings. Collaborates on federally funded transportation safety initiatives and supply chain optimization for bioethanol and pharmaceutical industries. Labs/Teams: Active in Widener’s School of Business research groups focusing on supply chain innovation and interdisciplinary projects combining logistics with emerging technologies.

Ronald McGarveyمشاهده پروفایل

استاد

• Operations Research
• Robust Optimization
• Sustainable Systems
• +۳ مورد دیگر

Ronald McGarvey is a Full Professor at IÉSEG School of Management since 2022, with prior roles including Associate Professor with Tenure at the University of Missouri (2013-2022) and Senior Operations Researcher at RAND Corporation (2002-2022). He holds a Ph.D. in Industrial Engineering and Operations Research from Pennsylvania State University and an H.D.R. in Industrial Engineering from the University of Paul Sabatier, France. Education : H.D.R. (2024), Industrial Engineering, University of Paul Sabatier Ph.D. (2002), Industrial Engineering and Operations Research, Pennsylvania State University His research focuses on Operations Research and Robust Optimization applied to diverse domains: Healthcare Logistics : Modeling access disparities in rural obstetric care for American Indian populations Environmental Sustainability : Analyzing biomass energy systems, forest carbon impacts, and waste management frameworks Network Design : Developing optimization models for supply chain resilience, military logistics, and urban transit safety Policy Analysis : Evaluating multi-state environmental collaborations and localized food systems His publications demonstrate strong interdisciplinary applications of mathematical programming and spatial optimization to real-world challenges in healthcare access, energy sustainability, and transportation systems. Key Collaborations : Working with researchers in public health (Thorsen, Noble), environmental science (Aguilar), and engineering (Mirzaee, Gutierrez-Lopez)

Christopher Turbillمشاهده پروفایل

دانشیار

• ecophysiology
• thermoregulation
• energy expenditure
• +۷ مورد دیگر

Christopher Turbill is an Associate Professor in Animal Science at Western Sydney University's School of Science, where he maintains an active research program focused on animal physiological ecology. He is affiliated with the Hawkesbury Institute for the Environment and serves as a Principal Investigator on multiple research projects while accepting HDR candidates for supervision. PhD from University of New England (2006) Thesis: Thermoregulatory Ecology of Tree-roosting Bats Supervised by Prof. Fritz Geiser Postdoctoral fellowships from Austrian Science Fund and Australian Research Council (DECRA) Former ecologist with NSW Government Professor Turbill's research integrates thermal and metabolic physiology with behavioral ecology to understand animal-environment interactions. His work has revealed significant ecological consequences of controlled body temperature variation in mammals and birds, linking these processes with metabolic energy expenditure, activity patterns, and life-history strategies. He specializes in bat biology and investigates conflicts between human environmental change and animal conservation requirements. His research keywords include ecophysiology, thermoregulation, energy expenditure, life-history ecology, body temperature, torpor, hibernation, and wildlife conservation. Analysis of Turbill's recent publications reveals a strong focus on thermal biology and conservation physiology, particularly regarding bats and birds. His work examines how animals manage energy through torpor, respond to climate change through thermal regulation, and adapt to anthropogenic disturbances. The research spans field studies of flying-foxes, microbats, and passerine birds across Australian ecosystems, with increasing emphasis on conservation applications related to white-nose syndrome, fire impacts, and wind energy development. Turbill leads significant research projects including the Ecology of the eastern horseshoe bat and its sensitivity to fire impacts (2024-2027), Vulnerability of Australian bats to white-nose syndrome (2021-2026), and Torpor use and burrowing behaviour in an arid zone passerine (2024). His work attracts funding from diverse sources including the Australian Research Council, Department of Planning and Environment, and various conservation organizations. Professor Turbill directs the BatsLab research group, which maintains a virtual hub for bat research at Western Sydney University. His team employs advanced methodologies including thermal imaging, GPS tracking, and physiological monitoring to study animal responses to environmental challenges. Current work focuses on developing conservation interventions for heat-stressed flying-foxes and assessing vulnerabilities of Australian bat species to emerging diseases.

Ben Livnehمشاهده پروفایل

دانشیار

• Hydrology
• Climate Change Impact on Water Resources
• Land Surface Modeling
• +۷ مورد دیگر

Ben Livneh is an Associate Professor at the University of Colorado Boulder , affiliated with both the Civil, Environmental, and Architectural Engineering Department and the Cooperative Institute for Research in Environmental Sciences (CIRES) . As Director of the Western Water Assessment , he bridges academic research with regional climate resilience initiatives. Ph.D. in Civil Engineering (Hydrology), University of Washington (2012) MESc in Civil Engineering, University of Western Ontario (2006) His research explores hydrologic responses to climate and land-cover changes , focusing on snowpack dynamics, wildfire impacts on water quality, sediment transport, and drought predictability. Key projects include simulations of montane snowpack for wolverine habitat preservation and post-fire landslide susceptibility analysis . Recent publications highlight continental-scale hydraulic geometry datasets , climate-energy nexus challenges , and global lake level reconstructions using satellite data. His work has been recognized by the AGU Hydrologic Sciences Early Career Award (2022) and NASA New Investigator Program (2018) . Scientific Awards AGU Hydrologic Sciences Early Career Award (2022) NASA New Investigator Award (2018) Symposium Scholar, DISCCRS VIII (2013) CIRES Visiting Fellowship (2012) Ben leads interdisciplinary collaborations with institutions like the University of Alaska Southeast and NOAA , addressing climate-water-energy-food nexus challenges through advanced modeling and remote sensing techniques.

Harry Nelsonمشاهده پروفایل

دانشیار

• Ecosystems and Climate Change
• Sustainable Forest Management
• Natural Resource Policy
• +۳ مورد دیگر

Harry Nelson is an Associate Professor at the University of British Columbia (UBC) within the Faculty of Forestry , specifically the Department of Forest Resources Management . His work focuses on natural resource policy, climate change adaptation, and sustainable forest management in Canada. Research Themes : Ecosystems and Climate Change, Sustainable Forest Management, Indigenous Governance Key Interests : Climate change impacts on forestry, ecosystem services, policy development Nelson’s research explores the structural transformation of the forest sector under changing markets and public expectations. He investigates ecosystem services as a business model for Indigenous forest management in BC and analyzes global climate adaptation strategies. Recent publications highlight cross-border forestry challenges, wildfire risks, and socio-economic dynamics in forest enterprises. His 15 most recent articles (2019–2025) span interdisciplinary topics such as climate change adaptation, Indigenous governance, bioeconomy, and global forest policy. These works emphasize the integration of ecological and economic frameworks to address sustainability. Scientific awards and recognitions: No awards explicitly mentioned in the provided texts. Nelson’s email address ( harry.nelson@ubc.ca ) and research areas are publicly available. No student advisement details or grant information is provided in the scraped data.

Willy Tinnerمشاهده پروفایل

استاد

• Paleoecology
• Climate Change Impacts
• Vegetation Dynamics
• +۳ مورد دیگر

Prof. Willy Tinner is a leading academic at the University of Bern, serving as Head of the Paleoecology section and Vice Executive Director within the Institute of Plant Sciences. His research focuses on reconstructing past environmental changes through pollen analysis, vegetation dynamics, and human-ecosystem interactions. Tinner's work integrates paleoecological data with climatology, archaeology, and conservation biology to understand long-term ecological processes. His expertise spans Holocene climate impacts, Neolithic land use patterns, and biodiversity conservation challenges in alpine and Mediterranean ecosystems. Notable research includes studies on Fagus-Quercus forest coexistence in Italy, Abies alba climatic adaptations, and human-driven vegetation changes across Europe. Tinner collaborates internationally, contributing to projects in Greece, Ukraine, and the Balkans. He has published extensively on topics such as fire regimes, lake sediment archives, and the ecological consequences of ancient agricultural practices. His leadership positions reflect his role in shaping Switzerland's ecological research priorities through institutions like WSL Cadenazzo.

Ana Mijicمشاهده پروفایل

استاد

• Water Systems Integration
• Sustainable Water Management
• Urban Water Resilience
• +۵ مورد دیگر

Professor Ana Mijic is a leading academic in water systems integration at Imperial College London's Department of Civil and Environmental Engineering (Faculty of Engineering). Her work focuses on developing systems tools to balance economic growth with sustainable water use, flood management, and water quality under future uncertainties. She leads high-profile projects like the EPSRC VENTURA initiative and the NERC CAMELLIA impact programme, emphasizing adaptive planning and grey/green infrastructure integration in urban systems. Education: BEng (First Class) in Civil Engineering from the University of Belgrade (Serbia), MSc (Distinction) in Hydrology for Environmental Management, and PhD in Earth Science & Engineering from Imperial College London (2013). Previously served as a teaching assistant in Fluid Mechanics and Hydrometry at Belgrade University. Research interests include whole-water system modelling, socio-hydrological interactions, and nature-based solutions for resilient urban water systems. Her work bridges academia and practice through partnerships with regulators like the UK Environment Agency and global initiatives like the IAHS HELPING programme. Awards include the Satish Dhawan Visiting Chair Professorship (2022) and the 2019 Imperial President’s Award for Excellence in Research (as part of her Hydrology team). She co-leads Imperial’s Transition to Zero Pollution (TZP) Urban Ecosystems theme and serves on editorial boards for journals like Water Security . Her contributions span over 50 peer-reviewed articles (2020–2025), focusing on integrated water management frameworks, AI-driven monitoring, and systemic approaches to urban resilience. She advocates for participatory decision-making and policy coherence in water governance.

Itsik Pe'erمشاهده پروفایل

استاد

• Human Genetics
• Computational Biology
• Genomics
• +۳ مورد دیگر

Itsik Pe'er is a Full Professor and Vice-Chair in the Department of Computer Science at Columbia University's Fu Foundation School of Engineering & Applied Science, and holds a joint appointment as Professor of Systems Biology at the Vagelos College of Physicians and Surgeons. His research focuses on computational methods in human genetics, including genetic variation analysis, disease association studies, and algorithm development for genomic data. He leads the Itsik Pe'er Lab of Computational Genomics, which develops tools like Xplorigin, Germline, and SEACells to address challenges in genomics and medical research. His work spans machine learning applications in healthcare, microbiome analysis, and cancer genomics. Notable contributions include studies on hypertensive disorders in pregnancy, bias correction in predictive models, and the development of non-Euclidean learning libraries like Manify. Pe'er has advised students including Vladimir Vacic, Anat Kreimer, and Arthi Ramachandran, and collaborates on grants addressing genetic epidemiology and computational biology. His lab's location is in the Computer Science Building at Columbia's Morningside Campus.

Amir AghaKouchakمشاهده پروفایل

استاد

• Hydrology
• Climatology
• Remote Sensing of Environment
• +۵ مورد دیگر

Amir AghaKouchak is a Chancellor’s Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering, University of California, Irvine (UCI). He directs the Center for Hydrometeorology and Remote Sensing (CHRS) and focuses on interdisciplinary research at the intersection of hydrology, climatology, statistics, and remote sensing. B.Sc. and M.Sc. in Civil Engineering (Water Resources), K.N. Toosi University of Technology, Tehran, Iran (2001, 2005) Ph.D. in Civil and Environmental Engineering, University of Stuttgart, Germany (2010) His research aims to leverage satellite data and ground observations to advance modeling of hydrologic extremes (droughts, floods, landslides) and develop decision-support systems for water resources management. Key areas include climate change impacts , stochastic modeling , and the water-energy nexus . Recent publications highlight his work on multi-hazard analysis, groundwater decline, wildfire resilience, and climate projections. Tools like MhAST and MvCAT demonstrate his methodological contributions to copula-based and multi-hazard modeling.

Charles F. Harveyمشاهده پروفایل

استاد

• Hydrogeology
• Terrestrial Carbon Management
• Subsurface Chemical Transport and Reaction
• +۷ مورد دیگر

Charles F. Harvey is a Professor in the Department of Civil and Environmental Engineering at the Massachusetts Institute of Technology (MIT), where he investigates hydrology, carbon cycling, and groundwater contamination. His work spans tropical peatlands, arsenic pollution in South Asia, and coastal groundwater dynamics, with field sites in Borneo, Bangladesh, and Vietnam. Education: B.A. in Mathematics (Oberlin College, 1986), M.S. in Applied Earth Science (Stanford University, 1992), Ph.D. in Geological and Environmental Sciences (Stanford University, 1996). Harvey’s research focuses on hydrogeology , carbon sequestration , and contaminant transport . He explores how groundwater flow and biogeochemical processes interact in tropical peatlands and coastal systems, with significant implications for climate change and water security. His recent publications emphasize tropical peatland hydrology , arsenic mobilization , and coastal groundwater exchange , integrating field experiments, remote sensing, and computational models. Scientific Awards AGU Fellow GSA Fellow Meinzer Award (GSA) Prince Sultan bin Abdulaziz International Prize for Water M. King Hubbert Award for Hydrology NSF Young Investigator Award Harvey leads the Harvey Lab , mentoring students and researchers in projects ranging from groundwater arsenic mitigation to coastal marsh biogeochemistry . His work bridges terrestrial and marine systems , addressing critical planetary challenges.

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +۳ مورد دیگر

Professor Daniel Rueckert is a leading academic in Artificial Intelligence and Medical Imaging, holding dual positions at Imperial College London (as Professor of Visual Information Processing) and Technical University of Munich (Alexander von Humboldt Professor for AI in Medicine and Healthcare). He obtained his MSc from Technical University Berlin (1993) and PhD from Imperial College London (1997), followed by postdoctoral work at King’s College London. At Imperial, he led the Department of Computing (2016–2020) and founded the Biomedical Image Analysis group. His research focuses on AI-driven medical image analysis, including algorithms for image reconstruction, registration, and clinical decision support. His research interests span AI applications in healthcare, machine learning for medical imaging, and computational methods for clinical diagnostics. Notable contributions include over 500 publications and 60+ PhD graduates, with key works in federated learning, cardiac motion analysis, and biomarker development. Awards include the Leibniz Prize (2025), Royal Academy of Engineering Fellowship (2015), and multiple ERC grants. He leads the BioMedIA research group and is an editorial board member of Medical Image Analysis . Recent publications highlight advancements in AI-driven medical imaging, such as secure federated learning frameworks and deep learning models for disease prediction. His work bridges academic and industrial sectors through initiatives like IXICO, an Imperial spin-out. Current affiliations include roles at both Imperial and TUM, emphasizing interdisciplinary collaboration in healthcare technology. Advising and grants: Supervised over 60 PhD students and 40 post-docs. Secured grants including ERC Synergy (2013) and ERC Advanced (2020). Active in labs focused on biomedical image computing and AI in healthcare systems. Collaborative efforts include the BioMedIA group and TUM’s AI initiatives. Labs/teams: Leads the Biomedical Image Analysis group at Imperial and the TUM AI in Medicine team. Collaborates extensively on projects like cardiac imaging analysis and federated learning for healthcare.

• Remote Sensing
• Synthetic Aperture Radar (SAR)
• Sea Ice Dynamics
• +۳ مورد دیگر

Leif Eriksson is a Professor at Chalmers University of Technology , specializing in Radar Remote Sensing within the Department of Space, Earth and Environment . His career at Chalmers began in 2004, and he was promoted to Professor in 2022 after serving as Group Leader (2012–2017) and Head of Faculty Assembly (2017–2020). His research focuses on developing advanced methods for environmental monitoring using radar data, particularly synthetic aperture radar (SAR) from satellites and aircraft. Leadership Roles: Group Leader (Radar Remote Sensing), Faculty Assembly Head Key Collaborations: Rymdstyrelsen, EU Horizon, VINNOVA, European Space Agency Research Interests : Dr. Eriksson’s work spans forest biomass estimation , sea ice dynamics , and ocean surface current/wind retrieval . He integrates SAR data with in situ observations and climate models to study: Forest degradation (clear cuts, storm damage) via multi-temporal SAR Sea ice concentration, drift patterns, and thickness in Arctic regions Wind vectors and surface currents using interferometric SAR techniques Applications for maritime navigation safety and polar shipping optimization Article Trends : His recent publications emphasize SAR’s role in transport infrastructure monitoring (e.g., Iron Ore Line degradation), pan-Arctic landfast ice stability , and multi-frequency SAR fusion for enhanced sea ice observations. Collaborative work with teams across Europe and the U.S. highlights interdisciplinary approaches to climate and marine research. Projects & Grants : Dr. Eriksson leads or contributes to projects such as: CAISA (2022–2024): Air-ice-sea data assimilation EONav (2016–2019): Copernicus data for maritime navigation SEDNA (2017–2020): Safe Arctic shipping Forest Biomass Monitoring (2017–2018): Spaceborne SAR applications His work is supported by Rymdstyrelsen, EU Horizon, and industry partners like Trafikverket. Labs & Teams : He is central to the Radar Remote Sensing Group at Chalmers, collaborating with institutions like Lund University and international bodies such as ESA. His research often involves satellite campaigns (e.g., TanDEM-X, Sentinel) and field studies in polar regions.

Reed Maxwellمشاهده پروفایل

استاد

• Hydrology
• Water Resources
• Groundwater Modeling
• +۸ مورد دیگر

Reed Maxwell is the William and Edna Macaleer Professor of Engineering and Applied Science in the Department of Civil and Environmental Engineering and the High Meadows Environmental Institute at Princeton University. He serves as Director of the Integrated Groundwater Modeling Center (IGWMC) and leads a research group comprising graduate students, postdoctoral researchers, and staff. His academic appointments include concurrent roles in both the School of Engineering and Applied Science and the High Meadows Environmental Institute. Maxwell's research focuses on understanding connections within the hydrologic cycle and how they relate to water quantity and quality under anthropogenic stresses. His work centers on hard problems in hydrology including groundwater, evapotranspiration and snow. His research group uses integrated hydrologic modeling, field observations, and remote sensing products to study terrestrial freshwater systems. Key research areas include surface water and the terrestrial hydrologic cycle; interactions of the land-surface, surface water and groundwater; and human health risk assessment. Maxwell has authored more than 185 peer-reviewed journal articles with an H-Index of 66 and over 19,000 citations. His recent work emphasizes machine learning applications in hydrology, continental-scale modeling, and physically rigorous scenario generation through projects like HydroFrame and HydroGEN. He teaches courses including CEE 306/ENV 318 Hydrology: Water and Climate and CEE 586/ENV 586 Physical Hydrology. 2020 Distinguished Henry Darcy Lecturer American Geophysical Union Fellow (2019) 2018 Boussinesq Lecturer Belle van Zuylen Chair (visiting), University of Utrecht 2017 School of Mines Research Award recipient Maxwell has mentored 17 PhD students and 20 MS thesis students throughout his career. His current research group includes multiple postdocs, research software engineers, and graduate students working on projects spanning continental-scale hydrologic modeling, groundwater-stream interactions, and machine learning applications in hydrology. The IGWMC maintains an active education and outreach program including STEM fairs, school visits, and digital educational tools like the HydroFrame Education Team's virtual sandtank aquifer model.

Ann B Leeمشاهده پروفایل

استاد

• Scientific Machine Learning
• Trust-Worthy UQ
• Likelihood-Free Inference
• +۱ مورد دیگر

Ann B. Lee is a Professor and Co-Director of the PhD Program in Statistics at Carnegie Mellon University , with a joint appointment in the Department of Statistics & Data Science and the Machine Learning Department. Prior to joining CMU, she held positions as a J.W. Gibbs Assistant Professor at Yale University and a visiting research associate at Brown University. PhD in Physics, Brown University MSc/BSc in Engineering Physics, Chalmers University of Technology, Sweden Her research focuses on statistical methodology for complex data in the physical sciences , emphasizing trustworthy inference, uncertainty quantification, and integration of classical statistics with machine learning. Recent work includes likelihood-free inference, calibrated forecasting, and diagnostics for generative models. The STAMPS research group , which she co-founded in 2018, hosts weekly meetings and public webinars. In Fall 2024, STAMPS will transition into a CMU Research Center. Recent publications span likelihood-free inference , climate modeling , and astronomy . Notable collaborations include applications to hurricane intensity guidance , galaxy redshift estimation , and cosmological parameter biases . She mentors PhD students and has advised multiple award-winning researchers, including ASA Best Student Paper Award winners. Her teaching includes advanced courses on probability, regression, and AI for climate sciences.