جست‌وجوی استاد و پژوهشگر

Hankui Zhangمشاهده پروفایل

دانشیار

• Remote Sensing
• Environmental Monitoring
• Deep Learning
• +۴ مورد دیگر

Hankui Zhang is an Associate Professor in the Department of Geography and Geospatial Sciences at South Dakota State University (SDSU), and a Research Scientist at the Geospatial Sciences Center of Excellence. He holds a Ph.D. from the Chinese University of Hong Kong (2013), specializing in satellite image fusion. His research focuses on developing algorithms for medium-resolution satellite data processing (e.g., Landsat and Sentinel-2), including cloud masking, BRDF correction, and compositing. He also explores AI applications in remote sensing for land cover mapping and environmental monitoring. As a Landsat Science Team member, he contributes to global remote sensing initiatives. Education: B.S. in Geographic Information Systems, Zhejiang University (2007) M.S. in Remote Sensing, Zhejiang University (2010) Ph.D. in Geography and Resource Management, Chinese University of Hong Kong (2013) Research Interests: Deep learning applications in remote sensing, land cover dynamics, analysis-ready data development, and geospatial data harmonization. His work emphasizes operationalizing satellite data for environmental decision-making. Grants & Awards: Over $2.5M in grants as PI/co-PI, including USDA and NASA-funded projects. Notable awards include the SDSU Wadsworth Research Award (2020-2021) and the Global Scholarship for Research Excellence from CUHK (2011-2012). Professional Roles: Editorial board member for Remote Sensing of Environment and Remote Sensing ; guest editor for special issues on deep learning in remote sensing. Top 20 reviewer for Remote Sensing of Environment (2020, 2022-2024). Key Contributions: Published over 70 SCI papers, developed cloud detection algorithms (e.g., LANA), and pioneered analysis-ready data workflows for global monitoring. His work bridges satellite data science with practical environmental applications.

• Biostatistics
• Public Health
• Epidemiology
• +۹ مورد دیگر

Dr. Shuvo Bakar is a Senior Lecturer in the Sydney School of Public Health at the University of Sydney, within the Faculty of Medicine and Health. He holds a PhD in Statistics from the University of Southampton, UK, and has prior experience as an Assistant Professor at Yale University, Lecturer at the Australian National University, and Scientist at Data61 (CSIRO). His research focuses on statistical methods applied to public health challenges, including Bayesian hierarchical modeling, machine learning, spatio-temporal analysis, and their applications in epidemiology, clinical trials, and environmental health. Dr. Bakar's research interests span statistical methodologies such as Bayesian adaptive designs, small area estimation, and spatial risk modeling, alongside applications in child health, infectious diseases, and extreme weather impacts on health. He is an active member of academic communities, including the Royal Statistical Society (RSS Fellow), Statistical Society of Australia, and the Australian Trials Methodology Research Network. His work also involves collaborations on grants totaling millions in funding, addressing topics like climate change impacts on health inequity and cardiovascular disease prevention in remote regions. Education: PhD in Statistics (University of Southampton, UK) Key Research Themes: Obesity, Diabetes, Cardiovascular Disease; Reproductive, Maternal & Child Health Grants/Projects: Includes NHMRC-funded trials on respiratory infections in First Nations children and MRFF grants for cardiovascular risk reduction in regional Australia. Dr. Bakar's contributions extend to editorial roles for Nature Scientific Reports and Discover Public Health , and his research has been published in journals like PloS One , Climatic Change , and Journal of the Royal Statistical Society .

• Internet of Things (IoT)
• Cybersecurity
• Sensor Networks
• +۳ مورد دیگر

Shiwei Fang is an Assistant Professor in the Department of Computer & Cyber Sciences within the School of Computer and Cyber Sciences at the University of North Georgia. He holds a Ph.D. in Computer Science from the University of North Carolina (2021) and a B.E. in Computer Science from the State University of New York (2015). His research focuses on IoT systems, cybersecurity, sensor networks, and edge computing, with notable contributions to multimodal analytics, privacy visualization tools, and geospatial tracking datasets. He advises the Graduate Student Organization and serves on the SCCS Academic Web Oversight Committee. Education: Ph.D., Computer Science, University of North Carolina, 2021 B.E., Computer Science, State University of New York, 2015 Research interests include IoT security, context-aware systems, and sensor fusion. His work on IoBT-MAX and GDTM datasets highlights expertise in experimentation frameworks and geospatial tracking. Recent publications explore privacy risks in IoT, AR-based privacy visualization, and efficient inference models for edge computing. He has contributed to over 25 peer-reviewed articles since 2015, with a focus on real-world IoT applications and hardware-software co-design. Service roles include faculty advising and committee participation. He teaches courses like CSCI 3170/5170 on Computer Organization, bridging theoretical computer science with practical hardware concepts.

Bryce W. Reederمشاهده پروفایل

دانشیار

• Political Violence
• Conflict Management
• Civil War Dynamics
• +۳ مورد دیگر

Bryce W. Reeder serves as Associate Professor of Political Science and Director of PhD Programs at the Truman School of Government and Public Affairs, University of Missouri. Based at E331 Locust Street Building (615 Locust Street), he can be contacted via email reederbw@missouri.edu or phone 573-882-0056. His academic background includes a B.A. from Boise State University and M.A./Ph.D. from the University of Illinois. This foundation supports his expertise in conflict analysis and political geography. Reeder's research centers on political violence, conflict management, and wartime civilian consequences , utilizing geospatial analysis and event data to examine civil war dynamics. His work bridges political science, geography, and international relations to develop practical conflict resolution frameworks. Key focus areas include urban vulnerability during warfare, rebel resource strategies, and spatial patterns of violence. Analysis of his 15 most recent publications (2018-2025) reveals a consistent emphasis on subnational conflict variation , particularly how peacekeeping operations interact with local contexts to affect civilian outcomes like education and health. His scholarship demonstrates increasing sophistication in measuring spatial heterogeneity in civil wars and peacekeeping effectiveness. As Director of PhD Programs, Reeder oversees doctoral training and curriculum development within the Truman School. While specific grant details aren't provided in available materials, his leadership role indicates significant administrative responsibility for advanced degree programs in public affairs.

Jean Ponceمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Robotics
• +۳ مورد دیگر

Jean Ponce is a Professor of Computer Science at Ecole Normale Superieure (ENS) in Paris and a Part-Time Global Distinguished Professor at New York University's Courant Institute of Mathematical Sciences and Center for Data Science (CDS). He previously served as Director of the ENS Computer Science Department (2011-2017) and held positions at Inria (2017-2022), University of Illinois at Urbana-Champaign (1998-2006), MIT, Stanford, and Inria (1982-1985). Academic Leadership: Scientific Director of PRAIRIE Interdisciplinary AI Research Institute in Paris Startup Involvement: Co-founder and CEO of Enhance Lab (2022) Editorial Roles: Senior Editor-in-Chief of International Journal of Computer Vision (2019-2022) Conference Leadership: Chair of IEEE CVPR (1997,2000), ECCV (2008), and upcoming ICCV (2023) Research Focus: Computer vision, machine learning, robotics, and AI with applications in exoplanet imaging, 3D reconstruction, and image quality assessment. His work bridges statistical learning and deep learning approaches. Awards: IEEE Fellow (2003) ELLIS Fellow (2019) ERC Advanced Grant (2011) IEEE CVPR Longuet-Higgins Prizes (2016,2020) ICML Test-of-Time Award (2019) Patents & Publications: Co-author of influential textbook Computer Vision: A Modern Approach (translated into Chinese, Japanese, Russian). Holds two US patents and one pending French patent. Google Scholar h-index of 78 with over 55,000 citations.

Shawn Clarkمشاهده پروفایل

استاد

• River Ice Engineering
• Hydraulics
• Environmental Fluid Mechanics
• +۳ مورد دیگر

Dr. Shawn Clark is a Professor and Head of the Department of Civil Engineering at the University of Manitoba's Price Faculty of Engineering. He holds a B.Sc. (2002) and Ph.D. (2007) in Civil Engineering from the University of Manitoba. His research focuses on river ice engineering and hydraulics, combining field monitoring, laboratory experiments, and numerical modeling. Current research interests include supercooling analysis, ice roughness estimation via drones, and freeze-up jamming dynamics. Education: Ph.D. Civil Engineering, University of Manitoba (2007) B.Sc. Civil Engineering, University of Manitoba (2002) Research emphasizes cold regions engineering challenges, such as ice formation prediction, river hydraulics under ice cover, and advanced modeling techniques. His work bridges theoretical models with practical field applications, leveraging technologies like remotely piloted aircraft for data collection. Publications reflect a focus on numerical simulations of ice processes, energy budgets in supercooling, and experimental hydraulics. No scientific awards are explicitly listed in the provided text. Dr. Clark actively advises students seeking opportunities in water resources engineering, prioritizing applicants with fieldwork enthusiasm and problem-solving skills. His research group collaborates on projects involving river ice dynamics and environmental fluid mechanics.

• Surveying
• Spatial Science
• Built Environment
• +۷ مورد دیگر

Dr. Armin Agha Karimi is a Lecturer in the School of Surveying and Built Environment at the University of Southern Queensland. He holds a BSc in Civil Engineering from Tabriz University, an MSc from Middle East Technical University (METU), and a PhD from the University of Newcastle. His research focuses on spatial data integration, cadastral systems modernization, environmental monitoring using remote sensing, and sea level variability analysis. Key research interests include 3D cadastral boundaries in BIM environments, digital twin applications in built environments, and the impact of hydrological loading on land motion. He has contributed to studies on erosion hotspot mapping in Queensland and the implications of coal seam gas activities on land subsidence. His work on Baltic Sea sea level dynamics and Australian coastal projections has advanced understanding of climate-driven environmental changes. Dr. Karimi is affiliated with the Centre for Sustainable Agricultural Systems and actively publishes on geomatics, climate science, and legal aspects of digital surveying. His recent articles highlight innovations in VR-ready survey data transformation and the legal challenges of electronic cadastral plans.

Shelley Xuelian Mengمشاهده پروفایل

دانشیار

• Remote Sensing
• Coastal Dynamics
• Wetland Restoration
• +۵ مورد دیگر

Introduction Dr. Shelley Xuelian Meng is an Associate Professor in the Department of Geography and Anthropology at Louisiana State University (LSU), part of the College of Humanities & Social Sciences. Her research focuses on leveraging remote sensing technologies (e.g., UAVs, LiDAR, multispectral imaging) to study coastal dynamics, wetland restoration, vegetation health, and precision agriculture. Education Ph.D. in Geography and GIScience, Texas State University (2010) M.S. in GIS and Cartography, Chinese Academy of Sciences (2003) B.E. in Information Engineering, Wuhan University (2000) Research Interests Meng’s work emphasizes the application of advanced geospatial technologies to address environmental challenges. Key areas include: Coastal wetland die-off and restoration using multi-scale remote sensing LIDAR and UAV-based terrain and vegetation mapping Object-oriented classification algorithms for environmental monitoring GIS integration for precision agriculture and disaster management Awards & Recognition 2023 Tipton Team Award (for Roseau cane die-off research) 2014 Best Paper Award in Remote Sensing CPGIS Young Scholar (2012) Grants & Projects Notable funded projects include: USDA-funded Roseau cane die-off studies ($1.6M+ across multiple years) Development of LiDAR and thermal sensing tools for coastal research Acquisition of terrestrial LiDAR equipment for multidisciplinary studies Labs & Affiliations Meng directs the Technology Intensive Geospatial and Remote Sensing (TIGeRS) Lab , which houses advanced equipment including drones, LiDAR scanners, and multispectral sensors. The lab collaborates with the LSU Coastal Studies Institute and other institutions.

Jacques Lévyمشاهده پروفایل

استاد

• Urban Planning
• Spatial Planning
• Territorial Development
• +۵ مورد دیگر

Jacques Lévy is an Honorary Professor at the École Polytechnique Fédérale de Lausanne (EPFL), where he directs the Chôros Laboratory and the doctoral program in Architecture and Urban Sciences. He holds affiliations in the School of Architecture, Civil and Environmental Engineering (ENAC) under the PH-ENAC department. Previously, he served as a researcher at CNRS (1984–1993), professor at Sciences Po Paris (1989–2007), and the University of Reims (1993–2004). He is a visiting professor at institutions including NYU, UCLA, and Macquarie University, and a former fellow at the Wissenschaftskolleg zu Berlin (2003–2004). His research focuses on the theory of societal spaces, particularly political geography, urbanity, globalization, and cartography. He has pioneered the integration of non-verbal methods like audiovisual media in research, culminating in the 2013 film Urbanité/s . He co-directs the open-access journal EspacesTemps.net and the L'espace en société book series, while advising on Pouvoirs Locaux . Key themes in his work include spatial epistemology, territorial development, and the interplay between global and local dynamics. His publications (over 600 works) span geographies of politics, Europe's spatial identity, and globalization impacts. Recent works include Globalization of Urbanity (2013) and Réinventer la France (2013). Scientific Awards: Fellow at Wissenschaftskolleg zu Berlin (2003–2004). Grants/Advising: Supervisor of 15 EPFL doctoral theses in urban studies, geography, and related fields. Labs/Teams: Heads the Chôros Laboratory and contributes to interdisciplinary urban research initiatives.

Dongmei Chenمشاهده پروفایل

استاد

• Geomatics
• Environmental Science
• GIS Applications
• +۴ مورد دیگر

Dr. Dongmei Chen is a Professor in the Department of Geography and Planning at Queen's University, affiliated with the Faculty of Arts and Science. She holds cross appointments in the School of Environmental Studies and the Beaty Water Research Centre. Her research focuses on understanding human-environment interactions through GIS and remote sensing, with specialties in land use modeling, climate change impacts, and spatial data analysis. Education: PhD in Geography (2001, San Diego State University/UCSB); M.Sc. in GIS/Remote Sensing (Chinese Academy of Sciences); B.Sc. in Geography (Peking University). Pre-Queen's career included work as a GIS product specialist at ESRI. Research interests include geomatics, environmental science, and applying machine learning to remote sensing challenges. Recent work addresses flood susceptibility modeling, urban sprawl analysis, and spatial-temporal disease risk. Her interdisciplinary approach bridges geospatial technologies with environmental and social science. Active in research centers like LaGISA, she explores topics like air pollution monitoring and spatial data privacy. Grants and advising are integral to her role, though specific details are not detailed here. Collaborations span global contexts, including Brazil, Thailand, and China.

• Reproductive Health
• Health Disparities
• Health Policy
• +۳ مورد دیگر

Whitney S. Rice, DrPH, MPH serves as Assistant Professor in the Department of Behavioral, Social, and Health Education Sciences at Emory University Rollins School of Public Health (RSPH), where she directs the Center for Reproductive Health Research in the Southeast (RISE). Her research program investigates social and structural determinants of sexual and reproductive health equity through participatory, justice-oriented frameworks utilizing mixed methods approaches. Her educational trajectory includes a BS from Georgia Institute of Technology, MPH from Emory University, DrPH from University of Alabama at Birmingham, and postdoctoral training at UAB. Dr. Rice teaches BSHES 540 - Research Methods and actively mentors emerging scholars through RISE's research training initiatives. Research interests center on: Structural drivers of reproductive health disparities Policy impacts on abortion and contraceptive access Intersectional stigma in HIV care for women Community-engaged health services research Reproductive justice frameworks in the U.S. South Her work consistently addresses marginalized populations with emphasis on racial equity and policy translation. Recent publications demonstrate methodological diversity spanning systematic reviews, policy evaluations, and qualitative analyses of post-Roe impacts, with strong geographic focus on Southern U.S. contexts and thematic emphasis on structural barriers to care, disinformation challenges, and community resilience strategies. Scientific recognition includes: 2019 Outstanding Young Professional Award (APHA Sexual and Reproductive Health Section) 2023 Inaugural RSPH Faculty Leadership Award 2024 BSHES Distinguished Teaching Award As RISE Director, Dr. Rice leads collaborative research initiatives examining reproductive health policy impacts while providing critical mentorship to junior investigators. Her media engagement—including the 'Health Wanted' podcast—translates research for public discourse on reproductive rights. Current work addresses evolving post-Roe landscapes through community-academic partnerships focused on actionable solutions for health equity.

• Environmental Health
• Epidemiology
• Climate Change Health Impacts
• +۴ مورد دیگر

Erika Garcia, PhD, MPH is an Assistant Professor in the Division of Environmental Health at the Department of Population and Public Health Sciences, Keck School of Medicine of USC. Her work focuses on understanding how ambient environmental exposures influence human disease development, particularly through advanced causal inference methods. Key research areas include early-life air pollution effects on pediatric health (asthma, lung function, metabolic outcomes) and climate-driven exposures like extreme heat. Education: PhD in Environmental Health Sciences, UC Berkeley MPH in Environmental Health Sciences, UC Berkeley Research Interests: Climate change health impacts: heat waves, air pollution, and associated mortality/morbidity Environmental justice: disparities in pollution exposure and health outcomes Exposure mixtures: synergistic effects of chemical pollutants Epigenetic biomarkers of environmental exposures Recent Article Trends: Focus on methodological innovations in exposure assessment, policy-driven intervention modeling, and translational research linking environmental exposures to chronic disease pathways. Recent work emphasizes population-level vulnerability analysis and actionable solutions for disadvantaged communities. Advising/Grants: Active in mentoring interdisciplinary teams but specific grant details not highlighted in current text.

Andrea Scottمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Machine Learning
• Remote Sensing
• +۸ مورد دیگر

Andrea Scott is an Associate Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo, Faculty of Engineering. Her research focuses on fluid dynamics, remote sensing, and machine learning applications in environmental systems. She holds a Doctorate in Mechanical Engineering from the University of Waterloo (2008) and has taught courses such as ME 351 (Fluid Mechanics) and SYDE 621 (Numerical Methods). Notable awards include the 2022 Outstanding Performance Award and 2021 Distinguished Performance Award from the University of Waterloo. Research interests span turbulence modeling, data-driven approaches, and physically inspired neural networks. Her work includes developing algorithms for sea ice concentration estimation, SAR imagery analysis, and fluid flow simulations. She collaborates with groups like the Vision and Image Processing Lab and the Remote Sensing of Environmental Change group. Current projects involve small object detection in remote sensing and graph neural networks for unstructured grid problems. Education: PhD, Mechanical Engineering, University of Waterloo, Canada (2008) MASc, Mechanical Engineering, McMaster University, Canada (2001) BASc, Mechanical Engineering, University of Waterloo, Canada (1999) Teaching responsibilities include undergraduate and graduate courses in fluid mechanics and systems engineering. She actively mentors students through the IEEE GRSS Women-to-Women Mentorship program and serves as an Associate Editor for the AGU Journal of Machine Learning and Computation. Her lab oversees over 20 current and past graduate students, focusing on topics like space debris tracking, AI-driven environmental modeling, and sea ice dynamics. Research outputs include over 40 publications in journals such as Physical Review Fluids and IEEE Transactions on Geoscience and Remote Sensing .

Ritika Tiwariمشاهده پروفایل

مدرس ارشد

• Public Health
• Health Policy
• Health Economics
• +۳ مورد دیگر

Dr Ritika Tiwari is a Senior Lecturer in Public Health at the York St John University London Campus. She holds over 14 years of experience in public health across South Asia, Africa, and Europe, with prior affiliations to India’s National Health Mission, South Africa’s Stellenbosch University, and the UK’s University of Greenwich. At York St John, she serves as Semester Lead for the MSc Public Health program, leading modules on Health Economics and Public Health for an Ageing Population. Her research focuses on Human Resources for Health (HRH), emphasizing equitable health workforce distribution and universal health coverage. Key areas include geo-spatial inequities in healthcare access, workforce planning models, and policy interventions. Her work has contributed to South Africa’s 2030 HRH Strategy and analyses of dentist shortages, nephrologist deficits, and health workforce trends in India and South Africa. Publications span journals, policy reports (e.g., South African Health Reforms, 2022), and media features on oral health crises and health worker shortages. Dr Tiwari’s academic contributions bridge policy, education, and practice, aiming to strengthen health systems through evidence-based strategies.

Salem S. Gharbiaمشاهده پروفایل

استاد

• Climate Resilience
• Environmental Monitoring
• Environmental Modeling
• +۳ مورد دیگر

Dr. Salem S. Gharbia is the Head of the Department of Environmental Science and a Principal Investigator at Atlantic Technological University (ATU). He leads the Centre for Environmental Research Innovation and Sustainability (CERIS) and co-founded the Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE). His research focuses on climate resilience, environmental monitoring, and modeling, with expertise in Geographic Information Systems (GIS), wireless sensor networks, and climate change impacts. Dr. Gharbia coordinates major EU projects like Horizon 2020 SCORE and has secured over €14M in research funding. He holds a PhD in Environmental Engineering from Trinity College Dublin, where he received the prestigious Ussher Award. His work spans collaborations with the Irish EPA, Horizon Europe, and the Marine Institute, addressing coastal flooding, microplastic detection, and sustainable agriculture. Education: PhD in Environmental Engineering, Trinity College Dublin. Research interests include climate adaptation strategies, urban resilience, and innovative sensor technologies for environmental monitoring. His projects emphasize interdisciplinary approaches to address global challenges such as rising sea levels, extreme rainfall, and coastal erosion. Awards: Trinity College Ussher Award. Grants: Over €14M secured over five years for projects like EmpowerUS, Pro-climate, and WaterFutures. Advising: Accepting PhD students in environmental science and engineering. Labs: CERIS and MISHE, focusing on climate modeling and environmental systems.