جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۳۱-۴۵ از ۷۴ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Fangzheng Lyuمشاهده پروفایل

استادیار

Virginia Polytechnic Institute and State UniversityUnited States

Fangzheng Lyu is an Assistant Professor in the Department of Geography at Virginia Polytechnic Institute and State University (Virginia Tech), affiliated with the College of Natural Resources and Environment. His research focuses on advancing GIScience, geospatial data science, and computational methods to address complex urban and environmental challenges using big data. He holds a Ph.D. from the University of Illinois Urbana-Champaign (2024), an M.S. from the same institution (2021), and a B.E. from the University of Hong Kong (2018). Dr. Lyu's expertise includes geospatial data science, cyberGIS, urban informatics, and geospatial AI. His work spans three core areas: (1) urban dynamics modeling using machine learning and cyberGIS, (2) scalable spatial algorithms for remote sensing and big data analysis, and (3) democratizing access to advanced geospatial cyberinfrastructure. He teaches courses such as Principles of GIS, Geospatial Data Science, and Spatial Data Science at Virginia Tech. His research has been published in leading journals like International Journal of Geographical Information Science , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , and Sustainability . Notable contributions include frameworks for urban heat island prediction, spatiotemporal image fusion models (e.g., Multi-stream STGAN), and methods for analyzing spatial accessibility during public health crises. Dr. Lyu actively contributes to interdisciplinary initiatives, including the Center for Geospatial Information Technology at Virginia Tech. His work emphasizes reproducibility and collaboration, with a focus on bridging geospatial research and education through cyberGIS platforms like CyberGIS-Jupyter. He has received funding for proposals integrating geospatial technologies with urban sensing and epidemiological modeling.

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Jean-Paul Pinelliمشاهده پروفایل

استاد

Florida Institute of TechnologyUnited States

Professor Jean-Paul Pinelli is a faculty member in the Department of Mechanical and Civil Engineering at Florida Institute of Technology's College of Engineering and Science. His expertise focuses on Natural Hazards Risk Modeling, Wind Engineering, and Infrastructure Vulnerability and Resilience. He contributes to organizations such as the American Society of Civil Engineers and Earthquake Engineering Research Institute. His research emphasizes hurricane impact mitigation, structural vulnerability assessment, and multi-hazard modeling. Recent work includes developing wireless sensor networks for real-time hurricane monitoring and integrating geospatial data for hazard model validation. He has collaborated on projects analyzing wind effects on industrial facilities, mid/high-rise buildings, and coastal residences. Notable contributions include the Florida Public Hurricane Loss Model and DesignSafe cyberinfrastructure for natural hazards research. His research spans environmental monitoring technologies, cost-benefit analyses of mitigation strategies, and post-disaster recovery frameworks. Publications highlight innovative methods for assessing wind-driven rain intrusion, aerodynamic roughness, and structural resilience. While no specific awards or grants are listed, his work underscores interdisciplinary approaches to disaster risk reduction.

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Heng Caiمشاهده پروفایل

استادیار

Texas A&M UniversityUnited States

Dr. Heng Cai is an Assistant Professor at Texas A&M University, leading the GIScience for Resilience (GIResilience) Research Group. Her work focuses on geographic information science, disaster resilience, socio-environmental sustainability, and environmental health. She develops geospatial data mining and decision-support tools to model human-environment interactions under climate change and natural hazards. Education: Ph.D. in Environmental Science (Louisiana State University), M.S. in Geographic Information Science (Chinese Academy of Sciences), B.E. in Surveying and Mapping (China University of Geosciences). Research interests include geospatial data science, hazard modeling, and resilience assessment. Her group has pioneered studies on land loss prediction in coastal Louisiana, social media analysis for disaster response, and cyberGIS platforms like PRIME. Recent work emphasizes climate adaptation strategies and urban resilience frameworks. Publications span interdisciplinary journals like Remote Sensing , Annals of the American Association of Geographers , and International Journal of Digital Earth . She actively collaborates with NASA and disaster management agencies, securing grants for projects like HeatSMART and U-CARE. Labs/Teams: GIResilience Group (www.gis-resilience.info) focuses on innovative geospatial solutions for societal resilience. She mentors undergraduate and graduate students in GIS programming, webGIS, and geodatabase applications.

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Luis Rodriguezمشاهده پروفایل

دانشیار

University of Illinois Urbana-ChampaignUnited States

Luis Rodriguez serves as Associate Professor in the Department of Agricultural and Biological Engineering within the College of Agricultural, Consumer and Environmental Sciences (ACES) at the University of Illinois at Urbana-Champaign. His academic leadership spans transdisciplinary research at the critical nexus of food, energy, and water systems, with particular focus on disaster resilience and community engagement initiatives. Dr. Rodriguez earned his educational foundation at Rutgers University with a B.S. (1995), M.S. (1999), and Ph.D. (2002) in Bioresource Engineering, complemented by doctoral work in Industrial and Systems Engineering. His professional trajectory includes progression from Assistant Professor (2005-2012) to Associate Professor (2012-present) at UIUC, with prior research appointments at NASA facilities and Orbital Space Sciences Corporation. His research program integrates Big Data analytics, modeling, and decision support systems to address food-energy-water security challenges, environmental impacts of agricultural production, and social constraints on engineered systems. Current projects emphasize reliability, resiliency, and sustainability in engineered solutions, particularly through his leadership of the INFEWS-ER (Innovation at the Nexus of Food, Energy, and Water Systems - Educational Resources) initiative. Recent scholarly output reveals strong concentration on biomass supply chain optimization, cyberGIS applications, microbial community modeling, and disaster resilience engineering, with significant methodological contributions to spatial analytics and transdisciplinary systems approaches. Dr. Rodriguez has received multiple teaching honors including the NACTA Teacher Fellow Award (2011), Engineering Council Outstanding Advisor (2012), consistent recognition as an Excellent Teacher (2012-2018), and the prestigious J. Kent Mitchell Teaching Excellence Award (2019). His service includes the ACES Research Policy Committee and Chief Advisor role for Agricultural and Biological Engineering. He directs the UIUC Puerto Rico Disaster Relief Program, which has conducted multiple service-learning trips following Hurricane Maria. This initiative exemplifies his commitment to community-engaged engineering, where students develop microgrids, remove invasive species, and implement sustainable solutions through partnerships with Amizade and Caras Con Causa. His course portfolio includes ABE 398 Disaster Relief Study Tour, ABE 452 Engineering for Disaster Resilience, and multiple Global Disaster Resilience courses across engineering and agricultural disciplines.

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Charles F. Vardeman IIمشاهده پروفایل

استاد پژوهش

University of Notre DameUnited States

Charles F. Vardeman II is a Research Professor in the Department of Computer Science and Engineering at the University of Notre Dame, where he also holds an appointment at the Center for Research Computing (CRC). He earned his B.S. and Ph.D. in Chemistry from Notre Dame, focusing on theoretical chemistry and molecular dynamics simulations of nano-metallic and glassy systems. His research integrates computational models with linked data and semantic web principles, emphasizing ontology design patterns (ODPs) to enhance data integration and discovery. He explores AI-driven approaches for knowledge representation in machine learning and symbolic neural networks. Education: B.S. in Chemistry (Notre Dame), Ph.D. in Theoretical Chemistry (Notre Dame). Research interests include computational modeling, semantic web technologies, ontology engineering, and the application of AI to material science and environmental sustainability. His work bridges domains like molecular dynamics simulations, geospatial data systems, and cyberinfrastructure design. Recent projects address hurricane risk assessment, resilient building design, and open-source molecular dynamics tools like OpenMD. Publications focus on advancing open-source computational tools, ontology-driven data integration, and interdisciplinary cyberinfrastructure. Notable contributions include developing the OpenMD molecular dynamics engine and frameworks for geospatial data interoperability. He has contributed to initiatives like the Cyberinfrastructure Center of Excellence and CyberEye for disaster response systems. His efforts emphasize linking computational experiments with real-world applications through semantic technologies.

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Philip Bogdenمشاهده پروفایل

دانشیار

Northeastern UniversityUnited States

Philip Bogden is Associate Teaching Professor of Computer Science at Northeastern University's Roux Institute, specializing in data visualization, data science, web technologies, and AI/ML. With significant industry experience, he has consulted for energy and finance sectors and served as CEO of a nonprofit providing real-time environmental data. His research develops computational solutions for environmental challenges, including flood detection systems, coastal hazard modeling, and oceanographic data infrastructure. Projects emphasize open data standards and AI applications for disaster resilience. Bogden previously contributed to open data policy at the National Science Foundation and held faculty positions at Yale and UConn. Education includes a PhD from University of California and bachelor's degree from Harvard University.

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Susanne Feistelمشاهده پروفایل

پژوهشگر

Leibniz Institute for Baltic Sea ResearchGermany

Dr. Susanne Feistel is a Researcher at the Leibniz Institute for Baltic Sea Research (IOW) in Warnemünde, Germany, affiliated with the IT & Data Management department under the Directorate. She holds a Dr. rer. nat. from Ludwig Maximilian University of Munich (2012) and a Dipl. Biol. from the University of Rostock (2004). Her research focuses on marine data management systems, with specialization in research data curation, metadata frameworks (notably IOWMETA), and oceanographic database development (IOWDB/ODIN2). Key domains include: Research data lifecycle management for marine science Baltic Sea hydrographic and hydrochemical data analysis Data provenance and reproducibility frameworks Development of FAIR data standards for ocean research Her publications demonstrate consistent focus on marine data systems, with recent work emphasizing standardized data management practices for large-scale research collaborations, geospatial analysis of Baltic Sea conditions, and reproducible data workflows. Publications show strong thematic clustering around metadata systems, hydrographic assessment methodologies, and research data governance. As Data Steward, she contributes to institutional and national research data management strategies, including DAM (German Marine Research Alliance) initiatives. No awards or student supervision information was found in the source materials.

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David Tarbotonمشاهده پروفایل

استاد

Utah State UniversityUnited States

Dr. David Tarboton is a Sant Endowed Professor of Water Resources Engineering at the Utah Water Research Laboratory and in the Department of Civil and Environmental Engineering at Utah State University. His work bridges hydrology and information technology, developing tools and models for hydrologic prediction and water resource management. Dr. Tarboton earned his Sc.D. and M.S. in Civil Engineering (Water Resources and Hydrology) from the Massachusetts Institute of Technology in 1989 and 1987, respectively. He also holds a Diploma in Datametrics (Computer Science) from the University of South Africa (1984) and a B.Sc. Eng in Civil Engineering from the University of Natal in South Africa (1981). His research focuses on advancing hydrologic prediction capabilities through the development of models that leverage new information and process understanding enabled by technology. Dr. Tarboton's work synthesizes modeling and numerical analysis with field observations and hydrologic information systems, tailoring software and computing systems to hydrologists' needs. He has made significant contributions to terrain analysis in hydrology, hydrologic modeling, and snowmelt processes. His research crosses the disciplinary interface between hydrology and information technology, with particular emphasis on hydrologic information systems and stochastic hydrology. Dr. Tarboton's recent publications demonstrate a strong focus on collaborative hydrologic information systems, with particular emphasis on HydroShare, a platform he leads the development of for sharing hydrologic data and models. His work increasingly integrates machine learning, cloud computing, and reproducible research methodologies into hydrologic modeling. The research spans applications from the Colorado River Basin to the Great Salt Lake, with growing attention to climate change impacts on water resources. Lifetime Achievement Award, 2025, International Society for Geomorphometry D. Wynne Thorne Career Research Award, 2023, Utah State University David R Maidment Award for Exemplary Contributions to Water Resources Data and Information Systems, 2020, American Water Resources Association Fellow, 2018, American Geophysical Union Multiple Outstanding Researcher awards from Utah State University (2002, 2005, 2015, 2018) Dr. Tarboton has mentored over 30 graduate students throughout his career, including numerous PhD candidates in Civil and Environmental Engineering. His research is supported by significant grants from federal agencies including NSF, USGS, and USDA. He serves as Principal Investigator for major projects including the HydroShare platform, the Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE), and research on the Colorado River Basin's future hydrology. Dr. Tarboton leads the development of HydroShare (www.hydroshare.org), a hydrologic information system for sharing hydrologic data and models operated by the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI). His research group has developed and supports several open source software packages, including the Terrain Analysis using Digital Elevation Models (TauDEM) package and the Utah Energy Balance snowmelt model.

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Zhenlong Liمشاهده پروفایل

دانشیار

Pennsylvania State UniversityUnited States

Zhenlong Li is an Associate Professor of Geography in the Department of Geography at Pennsylvania State University's College of Earth and Mineral Sciences. He leads the Geoinformation and Big Data Research Laboratory (GIBD) and holds multiple affiliations including Faculty Associate of the Penn State Institute for Computational and Data Sciences (ICDS), Faculty Affiliate of Earth and Environmental Systems Institute (EESI), Faculty Affiliate of Larson Transportation Institute, and member of Penn State Cancer Institute. Dr. Li earned his B.S. in GIScience from Wuhan University in 2006 and Ph.D. (with Distinction) in Geography and Geoinformation Sciences from George Mason University in 2015. Prior to Penn State, he was Associate Professor at University of South Carolina where he founded the Center for GIScience and Geospatial Big Data (CeGIS). As a GIScientist, Dr. Li's research focuses on geospatial big data analytics, spatial computing, and geospatial AI to address geographic questions about hazards, public health, population mobility, environment, and climate change. He combines traditional GIS methods with advanced computing approaches to analyze patterns in social media data during disasters, enabling rapid mapping and real-time decision making. Dr. Li has published over 120 peer-reviewed journal articles and secured more than $2.3 million in research funding from NIH, NSF, NASA, and Taylor Geospatial Institute. His current NIH R21 project develops a nationwide obesogenic environment measurement tool using cellphone-based place visitation data and electronic health records. Fellow of American Association of Geographers (AAG) Breakthrough Star by University of South Carolina (2020) Geospatial World 50 Rising Stars (2021) Raskin Scholarship from Earth Science Information Partners Recipient of NIH R21 award Dr. Li serves as Associate Editor for International Journal of Digital Earth and International Journal of Applied Earth Observation and Geoinformation, and sits on the editorial board of Cartography and Geographic Information Science. Previously, he chaired the AAG Cyberinfrastructure Specialty Group and co-chaired ESIP Cloud Computing Group. Through the Geoinformation and Big Data Research Laboratory (GIBD), Dr. Li advances applications in disaster management, climate analysis, human dynamics, and public health. His research aligns with four key clusters: Environmental Change and Prediction, Food Security and Human Health, Geospatial Big Data Analytics, and Spatial Modeling and Remote Sensing. He actively seeks graduate students interested in GIScience, GeoAI, and spatial computing applications.

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Haroon Sahotraمشاهده پروفایل

استاد

University of Nevada, Las VegasUnited States

Haroon Sahotra serves as the Associate Vice Provost for Faculty Affairs and a Professor in the Department of Civil and Environmental Engineering at the University of Nevada, Las Vegas (UNLV). In his administrative role, he oversees faculty bylaws compliance, conflict of interest processes, and initiatives to enhance faculty recruitment, retention, and development. His research focuses on climate change impacts, hydrology, and urban quality of life using remote sensing, GIS, and unmanned aerial systems (UAS). Sahotra leads a $2.5 million NSF project on undergraduate civil engineering education and is CoPI on a $20 million NSF grant for fire science data revolution. He collaborates with federal and state agencies on geospatial research projects, including water resource mapping and wildfire monitoring. His expertise includes microwave remote sensing, GIS integration with UAS, and spatiotemporal analysis of water quality parameters. Sahotra has secured over 30 competitive grants, including NSF-funded studies on solar energy-water nexus and watershed visualization. His work bridges environmental engineering with pedagogy, addressing learning retention in engineering courses and active participation strategies. Key grants include 'Enhancing Critical Transitions in Undergraduate Civil Engineering Education' (NSF, $2.5M) and 'Harnessing the Data Revolution for Fire Science' (NSF, $20M). He has published extensively on urban microclimates, irrigation water demands, and flood resilience in arid regions. His research emphasizes interdisciplinary solutions for environmental challenges, leveraging cyberinfrastructure and machine learning for data-intensive projects. Sahotra’s contributions extend to policy through the Conflict of Interest Oversight Committee and the Faculty Senate Bylaws Committee. His lab integrates geospatial technologies with environmental problem-solving, addressing issues from Lake Mead water quality to Sierra Nevada wildfire dynamics. Ongoing projects focus on UAS sensor applications, urban heat island mitigation, and sustainable water management strategies.

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Megan Cattauمشاهده پروفایل

استادیار

Boise State UniversityUnited States

Megan Cattau is an Assistant Professor in the Department of Human-Environment Systems at Boise State University, with affiliations as a Research Scientist at the Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder. Her work focuses on understanding how anthropogenic and biophysical factors alter disturbance regimes, particularly wildfires, and evaluates interventions to enhance social-ecological resilience. She employs geospatial techniques on large datasets, including drone, satellite, and field-based data to study spatial/temporal patterns of disturbance and recovery. Education: Ph.D., Columbia University M.E.M., Duke University B.F.A., University of Georgia Research Interests: Megan’s research integrates remote sensing and ecological modeling to address wildfire management, climate change impacts, and land use dynamics. Her projects emphasize scalable solutions using open-source tools and UAS (drones) for high-resolution data collection. Key themes include wildfire vulnerability assessment, post-fire hydrological responses, and socio-environmental systems analysis. Publications Trends: Her articles (2023–2025) highlight interdisciplinary approaches to wildfire ecology, leveraging UAS and machine learning for precision monitoring. Recent work examines fire severity’s hydrological impacts, climate-driven shifts in plant species, and policy-relevant insights on fire regimes and conservation easements. Awards: NASA New Investigators Program Fellow Fulbright Scholar – Indonesia Scholarship Grants & Collaboration: Funded by NASA’s New Investigators Program, her research engages with institutions like Earth Lab (CU Boulder) and the National Ecological Observatory Network (NEON). She leads projects bridging ecological data science and community resilience strategies. Labs & Teams: Active in interdisciplinary teams at Earth Lab and NEON, focusing on cyberinfrastructure for environmental data science education and open-access ecological monitoring.

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Yuqin Jiangمشاهده پروفایل

استادیار

University of Hawaiʻi at MānoaUnited States

Yuqin Jiang is an Assistant Professor in the Department of Geography at the University of Hawai'i at Mānoa, leveraging spatial big data to advance understanding of human mobility and human-environment interactions for sustainable urban development. Her research bridges data science and social sciences through quantitative methods addressing real-world societal challenges. Her academic credentials include: Postdoctoral Fellowship in Geography and Environmental Studies, Texas State University (2023-2024) Postdoctoral Fellowship in Civil and Environmental Engineering, Texas A&M University (2022-2023) PhD in Geography, University of South Carolina (2022) MS in Geography, University of South Carolina (2017) BA in Geography, University at Buffalo, SUNY (2014) Dr. Jiang's research program focuses on extracting actionable insights from massive spatial datasets to address critical urban challenges. Key areas include: Modeling human mobility during disruptive events like hurricanes and pandemics Developing equity-centered frameworks for post-disaster recovery Mapping healthcare accessibility and transportation dynamics Quantifying environmental impacts through activity-based carbon footprint analysis Creating cyberGIS tools for democratizing geovisual analytics Her recent publications (2020-2025) demonstrate consistent innovation in spatial big data applications, with increasing emphasis on methodological rigor and societal impact. Notable trends include the integration of diverse data sources (taxi GPS, mobile devices, social media) to uncover urban system patterns, growing attention to spatial inequality in environmental outcomes, and pioneering work in AI-assisted disaster response. She has developed novel approaches like entropy-based trip distribution measurements and sensor-based event detection systems. Dr. Jiang teaches GEO 388: Introduction to GIS Research and actively pursues interdisciplinary collaborations to expand the real-world applicability of her work in urban sustainability and disaster resilience.

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Scott D. Peckhamمشاهده پروفایل

پژوهشگر

University of ColoradoUnited States

Scott D. Peckham is a Researcher at the Institute of Arctic and Alpine Research (INSTAAR) at the University of Colorado Boulder. He is also CEO and founder of Rivix, LLC, developing geospatial analysis software like RiverTools. His work focuses on physically-based mathematical modeling of watershed-scale hydrologic systems, source-to-sink sediment transport, and computational methods for earth surface processes. Education: PhD in Geophysics (1995), University of Colorado Boulder MS in Mathematics (1989), Oregon State University BS in Physics (1987), Oregon State University BS in Engineering Physics (1987), Oregon State University Scott has developed open-source earth surface process models including TopoFlow and Erode. His research spans hydrology, geomorphology, differential geometry, and cyberinfrastructure, with a focus on component-based modeling and efficient computational algorithms. His recent publications highlight work in model interoperability, AI integration, and earth system prediction frameworks. Scientific Awards: NASA Global Change Student Fellow (1990-1993) National Research Council Research Associate (1995-1998)

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Simon Brewerمشاهده پروفایل

استاد

University of UtahUnited States

Simon Brewer is a Professor at the University of Utah's School of Environment, Society & Sustainability, with an active research program spanning physical geography, environmental geoscience, and spatial analysis. His interdisciplinary work bridges environmental science, public health, and social justice, with a particular focus on applying machine learning and spatial statistics to address pressing environmental and societal challenges. Dr. Brewer earned his BSc and MSc in Biological Sciences from the University of London and completed his PhD at Aix-Marseille University in France. His postdoctoral training included research positions at the Centre for Research and Teaching in Environmental Geoscience and CEMAGREF in Aix-en-Provence, France, the University of Liege in Belgium, and the University of Wyoming in the United States. He is fluent in French, reflecting his international academic background. His research interests encompass a wide range of topics including physical geography, environmental geoscience, geology, ecology, climate change science, archaeology, atmospheric sciences, ecological applications, human geography, spatial statistics, time series and spatial modeling, machine learning, and statistical data science. His work demonstrates a strong commitment to applying quantitative methods to understand complex environmental systems and human-environment interactions. Analysis of his recent publications reveals a clear trend toward interdisciplinary research that combines spatial analysis, machine learning, and environmental science to address real-world problems. His work spans urban planning, public health, disaster risk assessment, climate change impacts, and environmental justice, often with a focus on developing innovative methodological approaches. Many of his studies address pressing societal issues such as flood risk assessment, air quality monitoring disparities, mental health access, and the impacts of urban development patterns. Outstanding Mentor Award (Department of Geography, University of Utah, 2015) Superior Teaching Award (Junior Faculty, College of Social and Behavioral Sciences, University of Utah, 2013) Outstanding Mentor Award (Department of Geography, University of Utah, 2012) Dr. Brewer has secured significant research funding from multiple sources including the National Science Foundation, National Institutes of Health, and University of Alabama. His current grants focus on convolutional neural networks for precipitation phase determination, restoring indigenous socio-environmental systems, deep learning for air pollution monitoring, and climate-related ecosystem dynamics. His teaching portfolio includes advanced courses in geographic data analysis, climate change impacts, spatial modeling, and R programming, reflecting his commitment to training the next generation of spatial analysts and environmental scientists.

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Tugce Yukselمشاهده پروفایل

استادیار

Sabanci UniversityTurkey

Tuğçe Yüksel is an Assistant Professor at Sabanci University's Faculty of Engineering and Natural Sciences, specializing in vehicle electrification and battery system design. She earned her PhD in Mechanical Engineering from Carnegie Mellon University in 2015, following MSc and BSc degrees from Middle East Technical University. Research focus on battery thermal management, electric vehicle efficiency, and regional climate impacts on mobility systems Recipient of prestigious Fulbright Scholarship and Tubitak Returning Scientist Program Active in teaching energy systems and advanced vehicle technologies Contributions to transportation sustainability through computational modeling and policy analysis Her work bridges mechanical engineering principles with practical applications in sustainable mobility, supported by collaborations with institutions like Carnegie Mellon University's Vehicle Electrification Group. Scientific Awards: Fulbright Scholarship (2010-2012): Support for Ph.D. study in the United States Tubitak 2232 Returning Scientist Program (2016-2018): Comparative study of battery thermal management techniques Sabanci University Internal Research Grant (2017-2018): Cost and benefits of vehicle electrification in Turkey Advising & Funding: Currently seeking motivated students for projects in vehicle electrification and battery modeling. Has secured funding for research on thermal management impacts and regional climate effects on electric vehicle performance.

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