جست‌وجوی استاد و پژوهشگر

Jonathan Buonocoreمشاهده پروفایل

استادیار

• Environmental Health
• Climate Mitigation Strategies
• Energy Policy Analysis
• +۴ مورد دیگر

Dr. Jonathan Buonocore is an Assistant Professor in Environmental Health at the Boston University School of Public Health and Core Faculty at the Institute for Global Sustainability (IGS). His research evaluates health impacts of energy systems, focusing on climate mitigation strategies' co-benefits, equity, and unintended consequences. He holds a Sc.D. and MS from Harvard School of Public Health and a BS from Clarkson University. Education: Sc.D., Environmental Science & Risk Management, Harvard School of Public Health MS, Environmental Health, Harvard School of Public Health BS, Environmental Science & Policy, Clarkson University Research Interests: Dr. Buonocore examines energy systems through integrated frameworks combining health impact assessment, risk modeling, and energy policy analysis. Key areas include: Health co-benefits of renewable energy expansion Air pollution consequences of fossil fuel infrastructure Environmental justice in energy transitions Geoengineering health risks Recent work analyzes electrification policies, methane leakage risks, and extreme climate interventions. Articles emphasize spatial equity in exposure to oil/gas development and transportation policies. Grants & Advising: His research is supported by grants focusing on energy-climate-health linkages. He advises on projects related to decarbonization pathways and environmental justice. Labs & Collaborations: Associated with IGS and prior work at Harvard's Center for Climate, Health, and Global Environment. Collaborates with environmental justice organizations on policy-relevant research.

Xinhao Xuمشاهده پروفایل

دانشیار

• Mixed-Reality-Based Learning Environments
• Embodied Interactions and Learning
• Game-Based Learning for STEM
• +۳ مورد دیگر

Xinhao Xu is an Associate Professor at the School of Information Science & Learning Technologies within the College of Education & Human Development at the University of Missouri. He specializes in technology-enhanced learning environments, with a focus on mixed reality, embodied interactions, and game-based learning for STEM education. His research explores how immersive technologies like VR and AR can improve educational outcomes and engagement. Dr. Xu holds a Ph.D. in Instructional Systems and Learning Technologies from Florida State University, alongside a B.Sc. in Electronic Instrumentation and Measurement and an M.Sc. in Digital Communication Systems and Technology from institutions in China and Sweden. His work integrates quantitative and qualitative methods to study learning processes in technology-rich settings. His research interests include the design of immersive virtual learning environments, the role of embodied interactions in cognition, and the application of novel technologies (e.g., generative AI, CAVE systems) in education. He is affiliated with the Technology to Enhance Learning Lab (TELL) and has received funding from the Mizzou Alumni Association Faculty Incentive Grants. Xinhao Xu’s publications emphasize trends in VR/AR adoption, collaborative learning in immersive spaces, and the psychological impacts of technology on learners. His work highlights the potential of mixed reality to bridge theoretical and practical learning gaps, particularly in STEM disciplines.

Endrit Hoxhaمشاهده پروفایل

دانشیار

• Life Cycle Assessment (LCA)
• Sustainable construction
• Environmental Impact
• +۷ مورد دیگر

Endrit Hoxha is an Associate Professor at the Department of the Built Environment within the Faculty of Engineering and Science at Aalborg University. His research focuses on sustainability in construction, particularly life cycle assessment (LCA), environmental impact analysis, and circular economy strategies. He leads and co-supervises multiple PhD projects, including studies on LCA tools for carbon-optimized fire safety in biobased buildings and climate impact analysis of EU building materials. His work integrates environmental product declarations (EPDs), BIM technologies, and policy frameworks to address climate mitigation and sustainable practices in the built environment. Projects include Nordic harmonization of LCA methodologies and analysis of greenhouse gas emissions in construction. Key research areas: Sustainable construction, LCA, circularity, and policy-driven environmental mitigation. Consultancy involvement in environmental impact assessments of construction practices. Dr. Hoxha's recent publications emphasize circular building stock modeling, fire protection system environmental impacts, and light source sustainability. He has received recognition, such as the Sweco Transform Award for innovative master thesis projects. His work bridges academic research with practical applications, influencing both industry standards and policy development. Advisees include Kanafani, Dormohamadi, and Tozan, focusing on LCA methodologies and mitigation strategies. Labs/teams: Collaborates with interdisciplinary groups on building lifecycle analysis and sustainability metrics.

Yongwan Chunمشاهده پروفایل

استاد

• Geographic Information Science (GIS)
• Spatial Statistics
• Urban Geography
• +۵ مورد دیگر

Professor Yongwan Chun is a faculty member in the Geospatial Information Sciences program at the University of Texas at Dallas , affiliated with the School of Economic, Political and Policy Sciences. His academic journey includes a PhD in Geography (2007) and MS in Applied Statistics (2006) from the Ohio State University. Research Interests: Methodological advancements in GIScience, spatial statistics, environmental justice, urban crime analysis, population migration, and commodity flow modeling. Awards: Emerging Scholar Award (2017) from the Spatial Analysis and Modeling Specialty Group of the Association of American Geographers. Grants: Multiple awards from National Science Foundation and National Institute of Health totaling $1.4 million. Article Trends reflect expertise in spatial autocorrelation (Moran's I, Geary's C), location-allocation modeling (p-median, p-dispersion), and applications to healthcare accessibility, urban crime patterns, housing market segmentation, and climate impacts. His work integrates GIScience with Bayesian methods, eigenvector filtering, and big data uncertainty. Collaborators: Daniel A. Griffith, Hyun Kim, and students like Dongeun Kim and Changho Lee. Recent Topics: Trauma center accessibility, snowpack variation modeling, and spatiotemporal crime analysis. Contact: ywchun@utdallas.edu | Office: GR 3.208, UT Dallas

Beth Kingمشاهده پروفایل

عضو هیئت علمی

• Geographic Information Systems (GIS)
• Online Education
• Geospatial Analysis
• +۳ مورد دیگر

Beth King is an Associate Teaching Professor in the Department of Geography and Assistant Program Manager for Online Geospatial Education at the John A. Dutton e-Education Institute, Pennsylvania State University. She oversees the Master of Geographic Information Systems (MGIS) program, managing student progress, communication, and capstone projects. Her expertise spans GIS data management, geospatial analysis, and online education design. Education: M.Ed. Adult Education (2003) and B.S. Geography (1996), both from Penn State. Research interests focus on effective online education strategies, GIS pedagogy, and supporting adult learners in geospatial programs. She co-authored courses like GEOG 483 and GEOG 482, emphasizing problem-solving and practical GIS applications. Awards : Most Outstanding Online Teaching & Learning Program (Sloan-C, 2009) Special Achievement in GIS Award (ESRI, 2004) She actively advises MGIS students, coordinates program logistics, and mentors peers. Her service includes roles in the Penn State Faculty Senate and leadership in the Dutton Institute.

Camilo Moraمشاهده پروفایل

استاد

• Climate Change Impacts
• Biodiversity Conservation
• Environmental Science
• +۵ مورد دیگر

Camilo Mora is a Professor in the Department of Geography at the University of Hawaii at Manoa, where he maintains an active research laboratory and teaches courses on environmental issues, biogeography, and data analysis. His academic journey began with a BSc in Marine Biology from Universidad del Valle in Colombia (1999), followed by a PhD in Biology from the University of Windsor, Canada (2005). He completed postdoctoral fellowships at the University of Auckland (2005), Scripps Institution of Oceanography (2006-2008), and Dalhousie University (2008-2010). BSc, Marine Biology, Universidad del Valle, Colombia (1999) PhD, Biology, University of Windsor, Canada (2005) Postdoctoral Fellow, University of Auckland (2005) Postdoctoral Fellow, Scripps Institution of Oceanography (2006-2008) Postdoctoral Fellow, Dalhousie University (2008-2010) Mora's research spans interconnected lines focused on understanding biodiversity patterns and their modification by human activities, with particular emphasis on climate change impacts. His lab specializes in big data analytics applied to diverse environmental challenges including heatwaves, disease transmission, marine ecosystems, and even unconventional topics like Bitcoin's environmental footprint. The Mora Lab operates on a 'divide and conquer' approach to tackle large research questions by breaking data gathering into individual parts that can be concatenated into central databases. Mora has received the CSS Excellence in Research award (2014) for his significant contributions to environmental science. His influential publications include groundbreaking work on the global risk of deadly heat (2017), the projected timing of climate departure from historical variability (2013), and the finding that over half of known human pathogenic diseases can be aggravated by climate change (2022). CSS Excellence in Research (2014) Highly cited publications in Nature and Nature Climate Change Research featured in major international media outlets Development of innovative research methodologies for large-scale analyses Mora leads an active research group that engages students in the full scientific process from idea generation to publication. His approach to mentoring involves creating yearly classes where graduate students, professors, and international advisors collaborate to tackle significant research questions, with papers typically completed within a single semester. His Carbon Neutrality Challenge project, spearheaded by his daughter Asryelle Mora, provides a practical mechanism for individuals to offset carbon emissions through tree planting. The Mora Lab maintains a distinctive approach to environmental research, working on seemingly diverse topics from reef fishes to Bitcoin, united by their reliance on big data analytics. This interdisciplinary methodology has produced impactful research across multiple domains of environmental science and climate change impacts, establishing Mora as a significant contributor to our understanding of humanity's environmental challenges.

• Malaria
• Implementation Science
• Epidemiology
• +۲ مورد دیگر

Adam Bennett is an Associate Professor of Epidemiology & Biostatistics at the University of California, San Francisco School of Medicine. His primary research focuses on malaria epidemiology, global health equity, and implementation science, with extensive field work in Southeast Asia (Laos, Thailand, Vietnam) and Africa (Zambia, Namibia). He is affiliated with UCSF's Institute for Global Health Sciences. Dr. Bennett's research examines innovative malaria control strategies including: Targeted interventions for high-risk populations (forest-goers, miners, agricultural workers) Reactive drug administration strategies Genomic epidemiology of malaria transmission Cost-effectiveness of elimination approaches Implementation science in low-resource settings His recent publications demonstrate a strong focus on malaria elimination methodologies, spatial epidemiology, and intervention studies in endemic regions. Research consistently addresses diagnostic approaches, drug administration protocols, and vector control methods tailored to specific transmission contexts.

• Aeolian geomorphology
• Wind erosion processes
• Dust emission dynamics
• +۵ مورد دیگر

Jeffrey A. Lee is a Professor in the Department of Geosciences at Texas Tech University, specializing in aeolian geomorphology and environmental processes. With academic appointments since 1988, his work focuses on wind-driven sediment transport and dune dynamics across multiple continents. Education: B.A. in Geography (1979), University of California, Los Angeles M.A. in Geography (1984), University of California, Los Angeles Ph.D. in Geography (1990), Arizona State University Research interests center on aeolian processes, particularly dust emission dynamics and wind erosion patterns. His work examines temporal trends in blowing dust across Texas and the American Southwest, while also investigating long-term shifts in wind climate patterns. Professor Lee teaches foundational physical geography courses including Global Environmental Science and advanced topics in arid land geomorphology. Recent publications demonstrate interdisciplinary focus across aeolian geomorphology, environmental monitoring, and climate science. Key themes include dust source characterization using satellite data, drought legacy effects on erosion, and historical analysis of environmental disasters like the Dust Bowl. Contact: jeff.lee@ttu.edu | 213 Holden Hall, Texas Tech University | (806) 834-8228

Frank Cantersمشاهده پروفایل

استاد

• Urban Remote Sensing
• GIS Applications
• Urban Form Dynamics
• +۳ مورد دیگر

Frank Canters is a Professor of cartography, GIS, and remote sensing at the Department of Geography of Vrije Universiteit Brussel (VUB), leading the Cartography and GIS Research Group. His research focuses on urban remote sensing, spatial modeling of urban environments, and urban ecosystem services. He is renowned for pioneering the Canters projection, a minimum-error world map projection, and has contributed extensively to urban land-use mapping and decision-support systems for urban planning. His work spans over three decades, with 281+ publications and collaborations across multiple disciplines. Key areas include urban form dynamics, remote sensing applications for vegetation and land-use analysis, and spatial justice in green infrastructure distribution. He has supervised 83 students and developed tools like the Q-LavHA plugin for volcanic hazard modeling. Recent research highlights include integrating public perceptions into green space accessibility models, assessing allergenic potentials of urban greenery via LiDAR, and advancing machine learning approaches for urban vegetation mapping. His contributions bridge geospatial technologies with urban sustainability and policy.

Kurt Keutzerمشاهده پروفایل

استاد

• Artificial Intelligence
• Deep Learning
• Computer Vision
• +۶ مورد دیگر

Kurt Keutzer is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, and a key member of the Berkeley AI Research Lab (BAIR). He holds a Ph.D. in Computer Science from Indiana University (1984) and was previously Chief Technical Officer at Synopsys, Inc. His research focuses on systems issues in deep learning, particularly for computer vision, speech recognition, NLP, and finance. He has published over 250 refereed articles and six books, and is a highly cited author in hardware and design automation. Keutzer has received multiple IEEE Fellowships, DAC awards, and best paper accolades at conferences like Embedded Vision Workshop and ICPP. Educations: 1984, PhD, Computer Science, Indiana University Kurt Keutzer's research interests span Artificial Intelligence , Computer Architecture , and Scientific Computing , with a focus on computational efficiency in AI systems. His work explores hardware-aware neural architecture search, domain adaptation, and quantization techniques to optimize models from edge to cloud. Recent publications highlight advancements in vision transformers , LLM inference efficiency , and autonomous driving . He also contributes to multimodal AI and self-supervised learning frameworks. Scientific Awards: Institute of Electrical & Electronics Engineers (IEEE) Fellow (1996) DAC's Most Influential Paper Award (2023) Top Ten Cited Author and Paper at DAC Best Paper Awards at Embedded Vision Workshop and ICPP Kurt Keutzer has advised numerous Ph.D. and Master’s students, including Forrest Iandola (co-founder of DeepScale), Sheng Shen, and Michael Murphy. His research teams have pioneered hardware-efficient deep learning solutions like SqueezeNet and FireCaffe. Current projects include optimizing large language models (LLMs) for edge deployment and advancing 3D reconstruction for autonomous vehicles. He is also involved in diffusion models , sparse attention mechanisms , and multi-agent coordination for complex tasks.

Loretta J. Mickleyمشاهده پروفایل

پژوهشگر ارشد

• Atmospheric Chemistry
• Climate Change
• Air Quality
• +۳ مورد دیگر

Loretta J. Mickley is a Senior Research Fellow at Harvard University's John A. Paulson School of Engineering and Applied Sciences. Her research focuses on chemistry-climate interactions in the troposphere , with key topics including wildfire smoke impacts, climate change effects on air quality, and aerosol-radiation interactions. Wildfire smoke and health impacts Climate-air quality feedbacks Aerosol trends and climate forcing Paleo atmospheric chemical cycles Recent research trends span wildfire risk modeling, biomass burning exposure, and air quality sensor optimization. Publications emphasize atmospheric transport , chemical feedbacks , and health disparities in regions like California, Australia, and the Amazon. Her work informs climate policy and public health interventions , particularly in environmental justice communities and rapidly urbanizing tropical regions. She co-leads Harvard's Atmospheric Chemistry Modeling Group .

Wendy Meiringمشاهده پروفایل

استاد

• Statistical Methods for Brain Imaging
• Spatial and Temporal Processes
• Computational Statistics
• +۴ مورد دیگر

Wendy Meiring is a Professor in the Department of Statistics and Applied Probability at the University of California, Santa Barbara. Her research focuses on statistical methods for analyzing complex data in neuroscience, environmental science, and biomedical applications. She specializes in spatial and temporal processes, computational statistics, machine learning, and uncertainty quantification. Her work integrates advanced statistical techniques with real-world challenges, such as analyzing brain imaging data, pharmacokinetic models, and environmental monitoring. She has contributed to methodologies for functional data analysis, clustering-based correlation estimation, and spatial-temporal modeling. Dr. Meiring has published extensively in top journals, including The Journal of Computational and Graphical Statistics , focusing on topics likeFréchet regression, pharmacokinetic modeling, and environmental phenology. Her research bridges theoretical statistics with practical applications in health, neuroscience, and ecology. She collaborates across disciplines, contributing to programs like the Interdepartmental Graduate Program in Dynamical Neuroscience at UCSB. Her lab develops innovative statistical tools for analyzing high-resolution datasets, emphasizing reproducibility and methodological rigor.

Andreas Stahlمشاهده پروفایل

استاد

• Ophthalmology
• Retinopathy of Prematurity
• Angiogenesis
• +۳ مورد دیگر

Prof. Dr. med. Andreas Stahl is a faculty member at the University of Greifswald , serving as the Director of the University Eye Clinic . His work integrates clinical practice and research in ophthalmology, with a focus on retinal diseases. University: University of Greifswald Role: Director of the Clinic Contact: clinic-management-eyes@med.uni-greifswald.de Research Interests: Stahl’s research centers on retinopathy of prematurity (ROP) , anti-VEGF therapies , angiogenesis , and diabetic retinopathy . He explores pathophysiological mechanisms and innovative treatments for retinal vascular disorders, collaborating across disciplines to improve neonatal and adult ophthalmological outcomes. Recent Publications: His 2021–2022 work includes clinical decision support tools for ROP screening, comparative studies of ranibizumab and laser therapy, and analyses of retinal vascular occlusion post-COVID vaccination. These reflect his commitment to advancing treatment protocols and understanding disease mechanisms. Teaching: Involved in student education and e-learning development for ophthalmology. Projects: Participates in the INTERREG European Region Pomerania (INT118) initiative.

• Scientific Computing
• Numerical Analysis
• Applied Mathematics
• +۵ مورد دیگر

Eirik Valseth is an Associate Professor of Scientific Computing at the Norwegian University of Life Sciences (NMBU), Department of Data Science. He holds concurrent roles as a research associate at the Oden Institute, University of Texas at Austin, and an affiliated researcher at Simula Research Laboratory (Department of Numerical Analysis and Scientific Computing). His expertise lies in advanced finite element methods for PDEs with applications in flood modeling and hydropower systems. Current Affiliation: NMBU (Norwegian University of Life Sciences) Secondary Affiliations: Oden Institute (UT Austin), Simula Research Laboratory Research interests span numerical methods for challenging PDE systems, including: Stabilized finite element formulations Hurricane storm surge and riverine flood modeling Hydropower infrastructure analysis Computational mechanics and applied mathematics His recent publications (2024–2025) emphasize flood risk assessment (compound flooding, dam breaks, dredging impacts), advanced numerical methods (isogeometric analysis, stochastic finite elements, graph-grammar algorithms), and environmental applications (pollution transport, pathogen distribution, mosquito population dynamics after hurricanes). Key trends include cross-disciplinary integration of physics-aware machine learning and robust hydrodynamic simulation tools. Valseth's work extends to software development (e.g., WAVEx for spectral wave models, SWEMniCS for coastal circulation) and large-scale modeling frameworks like the ADCIRC unstructured mesh model for US coasts. Collaborative projects involve institutions such as University of Texas at Austin, Simula, and NOAA.

• Operations Research
• Public Transport Systems
• Digital Transformation
• +۳ مورد دیگر

Leif Sörensen is a researcher at the University of Hildesheim , affiliated with the Institute of Business Administration and Business Informatics within the Faculty of Mathematics, Natural Sciences, Economics and Computer Science . His work focuses on operations research and digital transformation in public transport systems, particularly examining flexible transport models, agent-based simulations, and geoinformation system integration. Core Affiliations Researcher (since 2023) - HAWK Hochschule für Angewandte Wissenschaft und Kunst, Holzminden Doctoral Researcher - Institute of Business Administration and Business Informatics, University of Hildesheim Former Student Assistant - TU Dresden and Max Planck Institute for Self-Organization Research Focus: Sörensen's research bridges transport policy , agent-based modeling , and data analytics . He investigates how digital transformation can enhance rural mobility through flexible public transport systems , with emphasis on contractual incentives for drivers and stochastic behavior prediction . His work spans both developed and developing economies , particularly analyzing informal transit systems in South Africa. Publication Trends: Recent articles demonstrate a strong focus on operations research in transport contexts, with 7/9 publications involving agent-based simulations and DRT (Demand-Responsive Transport) . Keywords cluster around urban mobility , digital transformation , and transport resilience , while sub-fields reveal expertise in dynamic routing algorithms , passenger acceptance metrics , and GIS-integrated transport planning . Key Projects Co-author on European Commission-funded transport safety modeling Participant in Smart Hybrid research initiative (44 co-publications) Contributor to International Transportation Economics Association conferences Academic Background: Holds degrees in International Economics (University of Göttingen) and International Business and Development (University of Bayreuth). Completed internships at UNECE Geneva and KfW Entwicklungsbank Pretoria , with fieldwork in South Africa and Japan .