جستجوی استاد راهنمای دانشگاهی

Patrick Kastnerمشاهده پروفایل

استادیار

• Environmental Performance Simulation
• Urban Decarbonization
• Machine Learning
• +۴ مورد دیگر

Patrick Kastner is an Assistant Professor at the School of Architecture and holds an adjunct appointment at the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He directs the Sustainable Urban Systems Lab, focusing on environmental performance simulation and urban decarbonization. His work emphasizes software tools for sustainable urban decision-making, such as Eddy3D, a microclimate modeling toolkit widely adopted in academia and practice. Education: Ph.D. and M.S. in Systems Science and Engineering, Cornell University (2022, 2021) M.S. in Sustainable Building Science, Technical University of Munich (2017) B.S. in Energy Engineering, University of Erlangen–Nuremberg (2012) Research Interests: Environmental performance simulation, urban decarbonization, machine learning applications in urban systems, spatial analysis, and software development for sustainability. His work integrates computational fluid dynamics (CFD), surrogate modeling, and data-driven approaches to address urban climate challenges. Key Projects: Leads the Vertically Integrated Project SMUR (Surrogate Modeling for Urban Regeneration), fostering interdisciplinary collaboration across Georgia Tech. Developed Eddy3D, which streamlines microclimate simulations for architects and urban planners. Grants & Advising: Engages students from sophomore to graduate levels in sustainability research. Teaches at Cornell and UPenn previously. Advises on projects blending engineering, urban design, and climate science. Labs & Teams: Director of the Sustainable Urban Systems Lab, focusing on software tools for sustainable urban transformation. Collaborates with industry partners and global institutions on decarbonization strategies.

• Robust Statistics
• Dimension Reduction
• Meta-Analysis
• +۳ مورد دیگر

Professor Luke Prendergast is the Deputy Dean of the School of Computing, Engineering & Mathematical Sciences (SCEMS) at La Trobe University (LTU) and holds a Professorship in the Department of Mathematics and Statistics. He previously served as Head of Department (2014–2020) and led LTU's Statistics Consulting Platform. His research focuses on robust statistics, meta-analysis, dimension reduction, and applied statistics, leading the DRAMA research group. Collaborations span fields like endocrinology, disability studies, and respiratory health. He actively contributes to research grants, including projects on Prader-Willi syndrome and exercise for disability populations. Professor Prendergast's recent work emphasizes statistical software development (e.g., the rquest package) and applications in biostatistics, such as metabolomics analysis and health intervention fidelity. His articles address topics like quantile-based hypothesis testing, geospatial accessibility for disability care, and motivational interviewing efficacy. Professional roles include NHMRC grant review panels, editorial boards for Nutrients and Respirology , and leadership in the Statistical Society of Australia (SSA Vic). His teaching includes courses in meta-analysis, linear models, and data-based critical thinking. Grants funded projects on exercise programs for cerebral palsy populations and community-university partnerships for disability inclusion. Luke's work bridges statistical theory with real-world health challenges, emphasizing robust methodologies and interdisciplinary collaboration.

Filip Biljeckiمشاهده پروفایل

استادیار

• Geomatic engineering
• Geospatial technologies
• Urban data science
• +۵ مورد دیگر

Filip Biljecki is an Assistant Professor jointly appointed at the Department of Architecture within the College of Design and Engineering and the Department of Real Estate at the NUS Business School, National University of Singapore. He is the founder and principal investigator of the NUS Urban Analytics Lab and was awarded the prestigious NUS Presidential Young Professorship in 2020. With over 150 peer-reviewed publications, his research bridges geomatic engineering, geospatial technologies, and urban data science to advance digital twins and data-driven urban planning. Dr. Biljecki's educational background includes: PhD in 3D GIS (cum laude), Delft University of Technology, Netherlands (2017) MSc in Geomatics, Delft University of Technology, Netherlands (2010) BSc in Geodesy and Geoinformatics, University of Zagreb, Croatia (2008) His research interests focus on emerging urban data sources, particularly urban imagery, and their application in 3D city modeling, digital twins, and GeoAI. He explores how crowdsourcing and open science can inform cutting-edge techniques for urban sensing and analytics at city-scale. His work significantly contributes to establishing smart cities through innovative methods that integrate recent advancements in computer science, geomatics, and urban data science. Analysis of his recent publications reveals a strong focus on street view imagery applications for urban analytics, digital twin development, and geospatial AI. His research spans multiple domains including urban morphology, environmental assessment, public health applications, and urban comfort analysis. The interdisciplinary nature of his work is evident in collaborations with researchers from diverse fields, producing impactful studies that address complex urban challenges through innovative methodological approaches. His notable scientific achievements include: Annual Teaching Excellence Award (ATEA), 2025 College Educator Award AY2023/2024, 2025 Urban Informatics Paper of the Year Award, 2023 Top 2% scientists worldwide (Stanford University), 2021 Presidential Young Professorship (NUS), 2020 As an educator, Dr. Biljecki has supervised dozens of students leading to publications in leading journals and placements at top universities and organizations. He has delivered talks at over 120 universities and organizations worldwide including MIT, Stanford, Harvard, and ETH Zurich. His research is supported through various grants and affiliations including his role as Principal Investigator at the Future Cities Lab Global at the Singapore-ETH Centre. The NUS Urban Analytics Lab, which he established, brings together scholars from diverse disciplines to drive research on making cities smarter and more data-driven. The lab has developed innovative tools like ZenSVI for street view imagery analysis and has produced influential research on urban digital twins, urban morphology, and GeoAI applications. Through his leadership, the lab continues to pioneer methods that advance data-driven urban planning and smart city development.

Werner Langمشاهده پروفایل

استاد

• Sustainable Building
• Energy-Efficient Design
• Building with Positive Footprint
• +۷ مورد دیگر

Prof. Dr.-Ing. Werner Lang serves as Vice President for Sustainable Transformation and holds the Chair of Energy Efficient and Sustainable Design and Building (ENPB) at the Technical University of Munich (TUM), within the TUM School of Engineering and Design. Previously, he was Professor of Sustainable Building and Director of the Center for Sustainable Development at the University of Texas School of Architecture in Austin (2008-2010). Lang also directs the Oskar von Miller Forum and is a partner at Lang Hugger Rampp GmbH Architekten in Munich. Lang's research focuses on developing strategies for buildings with positive environmental footprints through regenerative energy systems, renewable materials, and closed material cycles. His work emphasizes comprehensive life cycle analysis considering ecological, economic, and social aspects. Current research areas include climate-resilient urban neighborhoods, circular economy in construction, and sustainable building materials. The ENPB institute conducts numerous research projects such as Building Climate-Municipal, CircularFTmehrRAUM, and Urban Green Infrastructure. Lang's publications reveal a strong trend toward life cycle assessment, multi-criteria decision-making, and computational approaches for sustainable building design. His recent work integrates machine learning with building performance analysis and focuses on practical implementation of circular economy principles in urban contexts, with increasing emphasis on quantifying environmental benefits of urban green infrastructure. TUM Sustainability Award 2022 Doce et Delecta (Second Prize for Best Teaching), 2019 Bayerischer Energiepreis 2014 International Building Skin Tech Award (2008) Promotionspreis der TUM (2000) Lang leads the Institute of Energy-Efficient and Sustainable Design and Building with numerous research grants including projects like Building.Lab+, NAWAREUM, and ECO+. His team includes researchers working on topics ranging from urban mining to life cycle assessment tools. The institute maintains several products and startups including MoMeBo, Bilanzlabor, and EnergyML that translate research into practical applications for the building industry.

Shashi Shekharمشاهده پروفایل

استاد

• Spatial Computing
• Spatial Data Science
• Spatial Data Mining
• +۳ مورد دیگر

Shashi Shekhar is a Professor at the University of Minnesota, holding the distinguished titles of McKnight Distinguished University Professor and Distinguished University Teaching Professor. He serves as the ADC/CSE Chair and Director of the AI-LEAF Institute within the Department of Computer Science at the College of Science and Engineering. His research interests span multiple areas of spatial computing including spatial data science, spatial data mining, spatial databases, Geo-AI, and Geographic Information Systems (GIS). His work has focused on developing scalable algorithms for eco-routing, evacuation route planning, and spatial pattern mining. He has made significant contributions to the field through his Spatial Databases textbook, the Encyclopedia of GIS which has seen over 192,918 downloads in 2017, and a spatial computing book for professionals. His research group has produced numerous PhD graduates dating back to 1993 through 2023. Analysis of his recent publications reveals a strong focus on applying spatial computing to critical societal challenges including climate change mitigation through the AI-LEAF Institute, pandemic response through mobility data analysis, and sustainable transportation through eco-routing algorithms. His work bridges theoretical advances in spatial data science with practical applications in urban planning, emergency management, and environmental sustainability. Distinguished McKnight University Professor Distinguished University Teaching Professor UCGIS Education Award (2015) Graduate Education Award (2015) President of University Consortium for GIS (2017-2018) Computing Research Association Board Member (2016-2019) Professor Shekhar has advised over 30 PhD students since 1993, with his most recent graduate in 2023. He has secured significant research funding including a $20 million AI Institute grant focused on climate-smart agriculture and forestry. His Spatial Computing Research Group maintains active collaborations with government agencies and industry partners. The group has developed practical applications featured in media outlets including FoxTV coverage of evacuation route planning algorithms. Current research directions include applying AI techniques to address climate challenges through the AI-LEAF Institute and advancing spatial data science for polar regions through NSF-funded initiatives.

Sanam Akshaمشاهده پروفایل

استادیار مهمان

• Natural Hazards
• Geospatial Analysis
• Disaster Management
• +۳ مورد دیگر

Dr. Sanam Aksha is a Visiting Assistant Professor in the School of Public Administration at the University of Central Florida (UCF), affiliated with the National Center for Integrated Coastal Research within the College of Community Innovation and Education. His work bridges natural hazards and societal impacts, emphasizing geospatial analysis and modeling to address disaster resilience and climate adaptation. He holds a Ph.D. in Geospatial and Environmental Analysis from Virginia Tech's Department of Geography, alongside two Master's degrees in Risk and Environmental Hazards, and Environmental Science. Dr. Aksha previously worked at the International Centre for Integrated Mountain Development (ICIMOD) in Nepal, focusing on sustainable development, disaster preparedness, and climate change adaptation from 2009 to 2012. His research explores social vulnerability, equitable disaster recovery, and the intersection of environmental hazards with public health, particularly in marginalized communities. His recent publications highlight inequities in disaster recovery funding, urban resilience strategies, and the application of geospatial tools to assess multi-hazard risks. He advocates for transdisciplinary approaches to build community-centered resilience, integrating policy, technology, and social science insights.

Samuel Chengمشاهده پروفایل

دانشیار

• Information Theory
• Signal and Image Processing
• Remote Sensing
• +۴ مورد دیگر

Dr. Samuel Cheng is an Associate Professor at the Gallogly College of Engineering , University of Oklahoma , specializing in Electrical and Computer Engineering . He holds a Ph.D. in Electrical Engineering from Texas A&M University (2004), preceded by M.S. and M.Phil. degrees from the University of Hawaii and Hong Kong University of Science and Technology. Education: B.S. (University of Hong Kong, 1995), M.Phil. (HKUST, 1997), M.S. (University of Hawaii, 2000), Ph.D. (Texas A&M, 2004) Professional Experience: Senior Research Engineer at Advanced Digital Imaging Research (2004-2005), prior internships at Microsoft Asia and Panasonic Technologies His research focuses on Information Theory , Signal and Image Processing , and Pattern Recognition , with applications in remote sensing, urbanization analysis, and disaster monitoring. His publications span topics including urban impervious surface mapping , nighttime light analysis , and machine learning for environmental data . His work often integrates multi-source datasets (e.g., Landsat, LiDAR, social media) for spatiotemporal modeling. Technical Expertise: Spectral unmixing, machine learning, thermal remote sensing, GIS integration Key Applications: Power outage detection, vegetation-crime correlation, PM2.5 estimation, smart meter data fusion Dr. Cheng holds three US patents in digital watermarking and is affiliated with IEEE, Sigma Xi, and AAAS. His recent articles demonstrate a trend toward leveraging AI for remote sensing challenges and analyzing urbanization impacts on ecosystems.

Beata Csathoمشاهده پروفایل

استاد

• Remote Sensing
• Glaciology
• Climate Change
• +۳ مورد دیگر

Beata Csatho PhD is a Professor in the Department of Earth Sciences at the University at Buffalo, affiliated with the College of Arts and Sciences. Her research focuses on remote sensing, glaciology, climate change, and geophysics. She holds a PhD in Geophysics from the University of Miskolc, Hungary (1993). Her work integrates geophysical, remote sensing, and climatic data to study ice sheet dynamics and cryospheric changes. She leads the Remote Sensing lab and teaches courses like GLY 465/565 (Environmental Remote Sensing) and GLY 325 (Geophysics). Recent research emphasizes Greenland and Antarctic ice dynamics, ICESat-2 validation, and developing tools like Ghub for collaborative glaciology. She advises PhD and Master's students and collaborates on major projects like ISMIP7 and IceBridge. Her lab focuses on advancing laser altimetry, DEM correction, and cryosphere observation techniques.

• Spatial Demography
• Urbanization Studies
• Climate Change Impacts
• +۳ مورد دیگر

Deborah Balk is a Professor at the Marxe School of Public and International Affairs at Baruch College, part of the City University of New York (CUNY). She also serves as Director of the CUNY Institute for Demographic Research and holds appointments in the CUNY Graduate Center's Sociology and Economics programs, as well as the CUNY School of Public Health's Epidemiology Program. Her expertise lies in spatial demography, integrating earth and social science data to address policy challenges related to urbanization, climate change, and population dynamics. Dr. Balk has led significant roles in climate assessments, including Co-Chair of the New York City Panel on Climate Change’s 4th Assessment (2019–2024) and membership in the U.S. National Climate Assessment’s 6th Health Chapter (2025). She holds a PhD in Demography from UC Berkeley and degrees from the University of Michigan (MPP and AB in International Relations). Her research focuses on urbanization, migration, poverty, health, and environmental interactions, particularly climate adaptation and equity. Notable projects include analyzing population vulnerability in coastal zones and developing spatial demographic tools for global health and policy. Awards include the Andrew Carnegie Fellowship (2016–2018) and the William and Flora Hewlett Foundation Fellowship (1991). Dr. Balk has secured grants exceeding $6 million from NSF, NASA, and others, supporting work on urbanization, climate justice, and demographic data integration. She advises multiple institutions, including the U.S. Census Bureau and National Academy of Sciences. Her teaching spans spatial demography, urban policy, and statistical methods, reflecting her commitment to bridging demographic science and real-world applications.

Brian Calderمشاهده پروفایل

استاد پژوهش

• Seafloor Characterization
• Seabed Mapping
• Bathymetric Data Processing
• +۱۲ مورد دیگر

Brian Calder is a Research Professor at the Center for Coastal and Ocean Mapping, University of New Hampshire, with a strong affiliation in Ocean Engineering and Earth Sciences. He holds a Ph.D. and M.S. in Image Analysis and Electronics Communications Engineering from Heriot-Watt University. His academic work is centered on advanced methods in seafloor characterization and hydrographic data processing. Ph.D., Image Analysis, Heriot-Watt University M.S., Electronics Communications Eng, Heriot-Watt University His research focuses on the development and application of computational techniques for seabed mapping, bathymetric uncertainty modeling, and autonomous ocean sensing. He integrates machine learning, signal processing, and remote sensing to improve the accuracy and reliability of marine geospatial data. His work supports navigation safety, coastal zone management, and deep-ocean exploration. Recent publications highlight trends in automated nautical chart generalization, trusted community bathymetry systems, and wireless ocean-of-things networks for volunteer data collection. His article portfolio reveals a strong emphasis on data quality, uncertainty quantification, and algorithmic innovation in hydrography and marine geodesy. Brian Calder has received multiple research grants, primarily from NOAA and the U.S. Navy, supporting projects such as IT support for NOAA personnel at UNH, development of bathymetric uncertainty models, and autonomous mapping using Saildrone technology. These grants reflect sustained funding and recognition in the field of hydrographic science. He teaches graduate courses including Seafloor Characterization , Seabed Mapping , and Doctoral Research , indicating active mentorship and academic leadership. His work is conducted within the Center for Coastal and Ocean Mapping, a leading institution in hydrographic research, where he collaborates extensively with experts like Yuri Rzhanov, Larry Mayer, and Christos Kastrisios.

• Disaster Risk Reduction
• Sustainability
• Interdisciplinarity
• +۵ مورد دیگر

Giuliano Di Baldassarre is a Professor of Hydrology and Environmental Analysis at the Department of Earth Sciences, Uppsala University , Sweden. He serves as Head of Division for LUVAL (Air, Water and Landscape Sciences) and directs the Centre of Natural Hazards and Disaster Science (CNDS) (2016–2025). His work bridges water, environment, and society through interdisciplinary methods , focusing on disaster risk reduction, climate adaptation, and sustainable development. Education : Details not explicitly provided in the text. His research examines feedbacks between human activities and hydrological processes , including floods, droughts, and reservoir management . Key themes include social-ecological systems , inequalities in water crises , and policy implications of hydrological extremes . He has pioneered sociohydrology and human-water system modeling . Recent articles highlight global drought-flood interactions , urban water inequality , climate service maladaptation , and sociohydrological modeling . His work spans Nature Sustainability , Science Advances , and Hydrological Sciences Journal . Scientific Awards : International Hydrology Prize (Volker Medal) Plinius Medal (EGU) Witherspoon Lecture Award (AGU) European Research Council Consolidator Grant He led Panta Rhei - Everything Flows (2013–2022), IAHS’s global initiative on water-society interactions. Current efforts include transdisciplinary praxis and climate risk reduction frameworks .

Ryan Engstromمشاهده پروفایل

استاد

• Remote Sensing
• GIS (Geographic Information Systems)
• Climate Change
• +۳ مورد دیگر

Ryan Engstrom is a Professor and Director of Data Science in the Department of Geography at George Washington University (GW). He is affiliated with the Columbian College of Arts and Sciences and holds a Ph.D. from the joint program at San Diego State University and UC Santa Barbara. His research focuses on Remote Sensing, GIS applications, Climate Change impacts, Arctic environments, and Population Estimation, with an emphasis on poverty mapping and urban deprivation analysis. Engstrom has led major initiatives such as YouthMappers and IDEAMAPS, leveraging geospatial data and satellite imagery to address global development challenges. His work includes developing methodologies for georeferencing historical imagery, estimating non-monetary poverty, and mapping population density in regions like Sri Lanka and Ghana. He has published extensively in Remote Sensing , World Bank Economic Review , and Global Change Biology , among others. Key research trends in his publications involve integrating satellite-derived features with machine learning to model urban poverty, climate-driven land-use changes in Arctic regions, and applications of open-source geospatial tools for international development. Engstrom collaborates globally, contributing to projects like the World Bank’s welfare tracking in disaster-affected regions.

• Spatio-temporal data modeling
• Mobile and web-based GIS
• Map personalisation
• +۶ مورد دیگر

Michela Bertolotto is a Professor in the School of Computer Science at University College Dublin (UCD). Her research focuses on spatio-temporal data modeling, GIScience, and applications of geospatial technologies in fields like urban planning and health informatics. She leads a research group and has supervised 19 PhD and 8 MSc students. Her work includes innovations in LiDAR-based flood risk visualization, semantic web quality assurance, and open-source spatial data analysis. Bertolotto has held roles including College Lecturer at UCD (2000–2006) and postdoctoral research positions at the University of Maine and University of Genoa. Education: BSc and PhD in Computer Science from the University of Genoa (1993, 1998). Professional achievements include over 100 publications, 24 grants (e.g., Science Foundation Ireland-funded Urban ARK project), and editorial roles at journals like the International Journal of Geographical Information Science. Awards include the UCD President's Research Award (2001) and NATO Postdoc Fellowship (1998–1999). Research interests span map personalization, volunteered geographic information (VGI), and geospatial data quality. Her lab develops tools like the LAMSkyCam (low-cost sky imaging system) and dynamic flood risk viewers. She chairs international conferences and serves on program committees for GIScience events.

Catherine Pollingمشاهده پروفایل

مدرس

• Psychiatric Epidemiology
• Self-harm
• Health Inequalities
• +۵ مورد دیگر

Catherine Polling is an NIHR Clinical Lecturer in General Psychiatry at King’s College London (KCL), affiliated with the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and the Health Inequalities Research Group . Her work focuses on mental health inequities, self-harm epidemiology, and mixed-methods research, particularly in urban and marginalized communities. Education: MBBS from University College London, MSc in Epidemiology from the London School of Hygiene and Tropical Medicine, PhD from KCL's Department of Psychological Medicine Research Interests: Catherine investigates health disparities in mental health services using advanced statistical methods (multi-level modeling, Bayesian disease mapping) and GIS-based data visualization. Her clinical work with the South London and Maudsley NHS Foundation Trust complements her academic focus on systemic racism and mental health outcomes. Teaching & Engagement: She lectures on urban mental health for KCL’s Urban Informatics MSc and co-leads training on racism in mental health services. She also facilitates reflective practice groups accredited by the Balint Society and contributes to curriculum reform via the Maudsley Cultural Psychiatry Group. Scientific Awards: NIHR Clinical Lecturer Fellowship Wellcome Training Fellowship Research Trends: Her publications emphasize self-harm risk factors, pandemic impacts on healthcare workers, ethnic disparities in mental health services, and the intersection of urban environments with mental health outcomes. She integrates large-scale clinical datasets, qualitative interviews, and spatial analysis to address systemic inequities.

• Environmental Science
• Climate Change Mitigation and Adaptation
• Geographic Information Systems (GIS)
• +۳ مورد دیگر

Dr. Jennifer Koch is an Associate Professor at the Laboratory of Geo-information Science and Remote Sensing, part of Wageningen University & Research. Previously, she served as an Associate Professor and Associate Research Director at the University of Oklahoma's Data Institute for Societal Challenges. Her research integrates data-driven methods like simulation modeling to address socio-economic and climate change challenges, focusing on sustainable urbanization and environmental management. Education: She holds a Diplom (Univ.) in Geoecology from the University of Bayreuth and a Dr.-Ing. in Electrical Engineering/Computer Science from the University of Kassel. She teaches courses on geo-information management and data analytics. Research emphasizes multi-scale modeling, stakeholder engagement, and participatory approaches to socio-ecological systems. Recent work explores urban growth in Africa, methane emission monitoring, and renewable energy siting. Articles highlight interdisciplinary methods in GIS, climate policy, and community geography. Professional service includes roles with iEMSs, IALE, and the AAG. No ancillary activities reported. Her work bridges technical geospatial tools with societal challenges, emphasizing practical policy applications.