Geospatial Cyberinfrastructure Professors and Supervisors

Eric Shookمشاهده پروفایل

دانشیار

University of Minnesota Twin CitiesUnited States

Geospatial Computing
CyberGIS
GeoAI
+۳ مورد دیگر

Eric Shook is an Associate Professor in the Department of Geography, Environment & Society at the University of Minnesota, Twin Cities. His work bridges geographic information science (GIScience) and computational science, with focus areas including cyberGIS, geoAI, and geospatial data science. He leads curriculum development in geospatial computing and advocates for advancing geospatial literacy through educational initiatives. Education: B.S. in Computer Science, University of Northern Iowa, 2005 M.S. and Ph.D. in Geography, University of Illinois, Urbana-Champaign (2010–2013) His research emphasizes foundational geospatial computing advancements applied to diverse domains, such as human origins studies, disease outbreak risk perception, and extreme weather analysis using social media data. He actively develops cyberinfrastructure tools like GISandbox , a science gateway for geospatial computing, and has pioneered initiatives like the Hour of Cyberinfrastructure to enhance cyber literacy in GIScience education. Publications reflect his commitment to integrating computational methods with geospatial challenges, spanning topics from generative models ( TopoSinGAN ) to high-performance raster analysis. He has collaborated on projects such as the Taghreed System and contributed to Terra Populus’ big data architecture. Teaching focuses on geospatial computing, cyberGIS, and GIScience education, with emphasis on curriculum innovation and Jupyter notebook-based interactive learning. His work addresses societal challenges through interdisciplinary approaches, linking technology, environment, and human behavior.

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James Uberمشاهده پروفایل

استاد

University of CincinnatiUnited States

James Uber is a Professor in the Department of Civil & Environmental Engineering at the University of Cincinnati , where he has held academic appointments from 2007–2016. His career spans roles as Co-Director for the Center for Sustainable Urban Environments (2007–2009) and Director of the Environmental Engineering & Science Program (2002–2006). Ph.D., Environmental Engineering (1988) M.S., Environmental Engineering (1985) B.S., Civil Engineering (1983) Uber's research focuses on water distribution systems , contamination warning , disinfectant residual dynamics , and public health risk assessment . He has pioneered work in real-time water quality modeling , epidemiological studies of waterborne diseases , and feedback control for water systems . His peer-reviewed articles (1986–2014) emphasize multi-species transport modeling , optimization of booster disinfection , and MAUP bias reduction in health studies. These works bridge environmental engineering with public health and systems analysis . Uber has received prestigious scientific awards , including the 2010 WDSA Best Paper, 2009 AWWA Management Division Best Paper, and 2007 Franz Edelman Award finalist. He led federal and private grants totaling over $4 million for projects like EPA-funded pathogen-biofilm modeling and NSF cyberinfrastructure development. Grants include: EPA: Pathogen-Biofilm Attachment Model ($45,754) National Institute For Hometown Security: Distribution Hydraulics ($387,383) Department of Energy: Real-Time Water Modeling ($391,512) NSF: Real-Time Network Modeling ($313,701) DoD: Water Warning System Performance ($68,949)

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Chuanrong Zhangمشاهده پروفایل

استاد

UConn HartfordUnited States

Chuanrong (Cindy) Zhang is a Department Head and Professor in the Department of Geography at the University of Connecticut. Her research focuses on geospatial technologies and their applications in smart cities, with an emphasis on GIS, remote sensing, and urban sustainability. She leads projects addressing urban land-use dynamics, disaster management, and environmental planning. Research interests include geographical information science (GIS), remote sensing, geo-spatial statistics, and geocomputation applied to urban landscape ecology, transportation studies, and natural resource management. Notable projects involve analyzing urban expansion in East Asian megacities and integrating multi-source data for environmental monitoring. Her publications span interdisciplinary topics such as aerosol dynamics, spatial econometrics, and urban growth modeling. Zhang’s work bridges technological innovation with societal challenges, emphasizing resilience in urban environments. She is affiliated with UConn’s Storrs and Hartford campuses, contributing to the Resilient Cities, Racism, and Equity initiative.

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Richard Beckمشاهده پروفایل

استادیار

University of CincinnatiUnited States

Richard Beck is an Assistant Professor in the Department of Geography at the University of Cincinnati. His academic career spans over three decades, with prior roles including Research Faculty (1999-2009) and positions at Miami University (1995-1999). He holds a Ph.D. in Earth Science from the University of Southern California (1995), an M.S. in Information Science from the University of Illinois (2004), and two M.S. and a B.S. in Earth Sciences from Iowa State University. His research focuses on geographical information networks, remote sensing applications for climate change, Arctic studies, and water resources. Notable projects include the Barrow Arctic Research Facility cyberinfrastructure and the HABSat satellite initiatives for monitoring harmful algal blooms. Beck has led over 30 grants totaling millions in funding, emphasizing satellite data integration and environmental monitoring systems. His awards include the NASA TGIR Award (2004), AMOCO Best Paper Award (1995), and multiple Fulbright Fellowships. He teaches courses in physical geography, remote sensing, GIS, and grant preparation.

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Alexander Michelsمشاهده پروفایل

استادیار

University of Texas at DallasUnited States

Alexander Michels serves as an Assistant Professor in the School of Economic, Political and Policy Sciences at The University of Texas at Dallas, where he focuses on applying geospatial data science and cyberGIS to address societal challenges. His research bridges advanced computational methods with practical implementations to solve real-world problems in disaster management, public health, and spatial accessibility analysis. Dr. Michels earned his PhD in Informatics and MS in Geography from the University of Illinois Urbana-Champaign in 2025 and 2024 respectively. His academic background combines spatial sciences with computational expertise, preparing him for interdisciplinary research at the intersection of geography, computer science, and data-intensive methods. His research program spans two primary domains: Spatial Data Science : Developing novel algorithms, software frameworks, and theoretical foundations to advance spatial analysis capabilities for real-world problem solving CyberGIS : Leveraging high-performance computing and cyberinfrastructure to overcome computational barriers in geospatial research Analysis of his publication trajectory reveals a strong emphasis on methodological innovation with immediate societal applications. Recent work demonstrates increasing sophistication in handling large-scale spatial problems, particularly through scalable algorithms for accessibility analysis and disaster vulnerability assessment. His research consistently addresses the challenge of making advanced geospatial computation accessible to domain scientists through open-source tools like the Vulnerable Neighborhood Explorer (VNE) and CyberGIS-Vis. Dr. Michels maintains active engagement with the research community through multiple professional platforms including Google Scholar, GitHub, ResearchGate, and ORCID. He is currently accepting undergraduate and graduate students for research collaboration, indicating an expanding research program. His professional activities include significant contributions to the CyberInfrastructure & Geospatial Information Laboratory (CIGI) and CyberGIS Center for Advanced Digital and Spatial Studies. His GitHub profile shows extensive collaboration with @cybergis and @I-GUIDE organizations, with 44 repositories and 32 starred projects reflecting his active role in geospatial open-source development. Notable projects include redesigning CyberGISX and CyberGIS-Jupyter for Water, and developing the WhereCOVID-19 Spatial Accessibility Explorer during the pandemic.

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Michael Piaseckiمشاهده پروفایل

دانشیار

The City College of New YorkUnited States

Michael Piasecki is an Associate Professor in the Civil Engineering department at City College of New York (CUNY). He is affiliated with the CUNY Environmental Cross-Roads Initiative and the Earth System Science and Environmental Engineering program. His research focuses on hydrologic processes in the Caribbean, sensor network deployment, and sustainable water resources management. Key research interests include data management systems for environmental observations, hydroinformatics, and interdisciplinary approaches to water security challenges in regions such as Hispaniola. He has extensively studied the hydrology of Lakes Azuei and Enriquillo, leveraging remote sensing, sonar technology, and predictive modeling to understand their dynamics and future trajectories under climate change scenarios. His publications emphasize the development of interoperable sensor systems, environmental data frameworks, and geospatial analysis tools. Notable contributions include work on FAIR-oriented data acquisition systems, hydrodynamic modeling, and cyberinfrastructure for hydro-meteorological networks.

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Shah Muhammad Hamdiمشاهده پروفایل

استادیار

Utah State UniversityUnited States

Shah Muhammad Hamdi is an Assistant Professor in the Department of Computer Science at Utah State University (USU), leading the Hi-dimensional Data Analytics and Mining (HiDAM) lab. He previously held a faculty position at New Mexico State University (NMSU). He earned his Ph.D. and M.S. in Computer Science from Georgia State University (2020) and a B.Sc. from Rajshahi University of Engineering and Technology (2014). His research focuses on machine learning and data mining for graphs, time series, and spatiotemporal data, with applications in solar physics, neuroscience, and social networks. He has received notable grants, including NSF SHINE and CRII awards, and has published extensively in top venues like AAAI, ICMLA, and IEEE Big Data. Education: Ph.D. & M.S. in Computer Science, Georgia State University (2020) B.Sc. in Computer Science and Engineering, Rajshahi University of Engineering and Technology (2014) Research Interests: Graph representation learning and feature selection Time series classification and counterfactual explanations Applications in solar flare prediction, neuroscience (fMRI analysis), and social media discourse Recent Achievements: His work includes pioneering methods for solar flare prediction using multivariate time series and functional networks, as well as developing frameworks for explainable AI and data augmentation. He leads initiatives in machine learning cyberinfrastructure for multivariate time series and functional networks, funded by NSF grants. Awards: NSF SHINE Award (2023): Solar flare prediction via graph-based ML NSF CRII Award (2022): Cyberinfrastructure for multivariate time series analysis Advising & Grants: Ph.D. students: Reza EskandariNasab, Onur Vural, Santosh Chapagain Recent publications span solar physics, explainable AI, and social media analytics Labs & Teams: HiDAM Lab at USU focuses on high-dimensional data analytics, integrating machine learning and domain-specific applications.

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Chris Mattmannمشاهده پروفایل

استاد مدعو

University of Southern CaliforniaUnited States

Chris Mattmann is the Chief Data and Artificial Intelligence Officer (CDAIO) at the University of California, Los Angeles (UCLA), a first-in-UC-system role. Previously, he served at NASA's Jet Propulsion Laboratory (JPL) for 24 years as a Principal Scientist and Division Manager, leading AI and data initiatives. He holds adjunct roles at the Viterbi School of Engineering, USC , directing the Information Retrieval & Data Science (IRDS) group . His academic rank is Adjunct Professor in the Department of Computer Science. Education : PhD, MS, and BS in Computer Science from USC. He also completed a Public Policy Executive Certificate at Harvard Kennedy School (2023). Research Interests include Artificial Intelligence, Machine Learning, Cybersecurity, Quantum Computing, and Open Source Software. He pioneered Apache Tika and contributed to TensorFlow. His work on the Panama Papers via Tika earned a Pulitzer Prize (2017). He led the DARPA MEMEX project to combat human trafficking via Deep Web analysis. Key Achievements : Over $60M in grants from NASA, DARPA, NSF, and others. Authored 43 peer-reviewed papers, 2 books (including Machine Learning with TensorFlow ), and 160+ conference publications. Recognized with LA Business Journal's '40 Thriving in their 40s' (2022) and multiple NASA awards. Awards include the 2014 Ticke’s Notable Scientists List, JPL Team Awards (2016, 2014), and NASA Group Achievement Awards (2011–2008). Advising & Grants : Advised hundreds of students and postdocs, including leadership in USC/JPL collaborations. His $60M program advanced AI, informatics, and cybersecurity at JPL. Current UCLA role focuses on strategic AI integration and ethical innovation across campus. Labs/Teams : Directs the IRDS group, known for contributions to data science, search engines, and open-source tools like Apache Tika.

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Andrew Gronewoldمشاهده پروفایل

دانشیار

University of Michigan-Ann ArborUnited States

Andrew Gronewold is Associate Professor at the University of Michigan's School for Environment and Sustainability, with joint appointments in Civil Engineering and Earth Sciences. His research program advances hydrological prediction systems through integrated modeling of climate impacts on transboundary freshwater resources. Professor Gronewold leads the NSF-funded Global Center for Understanding Climate Change Impacts on Transboundary Waters, coordinating multi-institutional research on climate resilience in vulnerable cross-border communities. His methodological innovations include Bayesian approaches to uncertainty quantification in watershed-scale forecasting and novel integration of satellite data with hydrological models. His extensive publication record demonstrates consistent focus on: (1) Climate-driven hydrological extremes in large lake systems, (2) Advanced modeling techniques for water budget closure, (3) Transboundary water governance frameworks, and (4) Next-generation monitoring through AI and remote sensing. Recent articles establish predictive frameworks for thermal regime shifts and develop decision tools for sustainable water allocation under climate uncertainty. As director of the SEAS Hydro Lab, Gronewold oversees projects examining water balance dynamics in systems ranging from the Great Lakes to arid-region terminal lakes. His team develops cyberinfrastructure for visualizing historical hydroclimate data and assessing long-term trends.

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Kulsawasd Jitkajornwanichمشاهده پروفایل

استادیار

Texas Tech UniversityUnited States

Kulsawasd Jitkajornwanich is an Assistant Professor in the Department of Professional Communication at Texas Tech University's College of Media and Communication. He holds a Ph.D. in Computer Science from the University of Texas at Arlington, with research focused on computational and data science applied to social media, environmental monitoring, and disaster management. His work integrates GIS, NOSQL databases, and AI techniques to address challenges in crisis communication, precision agriculture, and health misinformation detection. Education: Ph.D. in Computer Science, University of Texas at Arlington (2014) M.S. in Computer Science, University of Texas at Arlington (2009) B.S. in Computer Science, Chulalongkorn University (2004) Research Interests: Computational communication, social media analytics, NLP, big data visualization, and AI-driven solutions for environmental and health crises. His interdisciplinary approach bridges computer science with communication studies to foster impactful research in crisis management and science communication. Awards: 2021 Community Outreach Award for 'Tawai For Health' 2019 National Dissertation Award (Thailand) 2018 Faculty Research Visibility Award (KMITL) Teaching & Grants: Teaches courses like Big Data Analytics and Media Insights. Co-PI on a €93K EU grant (Erasmus+) for educational automation in Thailand. Advises graduate and undergraduate students across 2 PhD, 14 master’s, and 15 undergraduate projects, including a 'Best Paper Award' winner. Labs/Teams: Founded Texas Tech's Media Insights Lab (2023), focusing on computational communication and data-driven media strategies. Collaborates with Thai government agencies on disaster management and health initiatives.

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Linda Bailey Haydenمشاهده پروفایل

استاد

Elizabeth City State UniversityUnited States

Dr. Linda Hayden is a tenured Professor of Computer Science at Elizabeth City State University , where she has served since 1980. She directs the Center of Excellence in Remote Sensing Education and Research (CERSER) and has established herself as a pioneer in remote sensing cyberinfrastructure and polar sciences . PhD in Mathematics/Education (1988) - American University MS in Computer Science (1983) - Old Dominion University MAT in Mathematics/Education (1972) - University of Cincinnati BS in Mathematics/Physics (1970) - Virginia State University Research Interests focus on remote sensing cyberinfrastructure , polar science applications , and STEM education equity . Her work bridges computer science with climate research , particularly in ice sheet monitoring through satellite data and geospatial analysis . She has developed science gateway systems and online learning platforms to enhance accessibility for underrepresented students. Scientific Trends in her publications show consistent contributions to Arctic/Antarctic remote sensing , cyberinfrastructure development , and inclusive science education models . Recent works focus on cloud computing applications and mentorship frameworks for scientific hackathons. Scientific Awards include: 2003 Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring Emerald Awardee for Educational Leadership (2003) ECSU Chancellor's Award for Distinguished Service (2015, 2008, 2002) IEEE-USA Professional Achievement Award (2006) Advising & Grants : She has mentored over 1,000 underrepresented students to STEM degrees and secured $19 million+ in research funding . Notable grants include the NSF Polargrid MRI project ($1M) and Office of Naval Research programs ($1.2M). Her Science Gateways Institute work (2013-2015) expanded access for newcomers to computational science. Labs & Teams : Leads CERSER at ECSU, which has produced geographic discoveries like the Elizabeth City Ice Shelf remnant. Coordinates international collaborations with institutions like UCLA , University of Kansas , and University of Cairo . The center serves as a model for HBCU-MSI partnerships in polar science.

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Zhe Zhangمشاهده پروفایل

استادیار

Texas A&M UniversityUnited States

Dr. Zhe Zhang is an Assistant Professor in the Department of Geography at Texas A&M University and an affiliate faculty member in the Department of Electrical and Computer Engineering. She leads the Cyberinfrastructure and Spatial Decision Intelligence (CIDI-Spatial) research group and holds roles such as Director of the CIDI-Spatial Lab and Council Member of the Gulf of Mexico Coastal Ocean Observing System. Her research focuses on advancing cyberinfrastructure, geospatial data science, and decision support systems to address complex human-environment interactions, sustainability, and disaster resilience. She has secured over $18 million in research grants from NSF, NOAA, NASA, and others. Education: Doctor of Science (Geoinformatics), Aalto University, Finland (2016) Master of Science (Geomatics), Helsinki University of Technology, Finland (2009) Bachelor of Environmental Engineering, Tampere University of Applied Sciences, Finland (2005) Research Interests: Dr. Zhang's work intersects GIScience, decision science, and cyberinfrastructure. Key areas include cyberGIS, geospatial AI, human-centered decision-making, spatial uncertainty modeling, and disaster management. She develops scalable decision support systems for applications like flood emergency management, sustainable fisheries, and urban resilience. Awards: NSF CAREER Award (2023) UCGIS Community Champion Award (2022) Multiple NSF grants including CyberTraining and ACES initiatives Grants & Advising: Current NSF grants include $568K for coastal resilience (CAREER) and $455K for disaster management workforce development. She actively advises graduate students in GIS, spatial analytics, and data science. Notable student achievements include winning Texas A&M data science competitions and securing roles at ESRI and GCOOS. Labs & Teams: The CIDI-Spatial Lab focuses on cyberGIS tools and spatial decision support. Collaborations include NASA-funded heat vulnerability analysis in Oklahoma City and NOAA-funded coastal resilience projects. The lab also engages in K-12 education programs like the Texas Youth Geography Network.

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Barney Louis Warfمشاهده پروفایل

استاد

University of KansasUnited States

Barney Louis Warf is a Professor in the Department of Geography & Atmospheric Science at the University of Kansas. His research focuses on internet geographies, telecommunications, urban geography, cosmopolitanism, and social theory, with a particular emphasis on political economy and spatial theory. He has authored influential works such as Human Geography: A Serious Introduction (2017) and edited volumes like The Spatial Turn: Interdisciplinary Perspectives (2008). His work explores intersections between economic geography and social theory, addressing topics like digital divides, cyberterrorism, and geographies of corruption. Warf's recent publications engage with post-truth geographies, electoral dynamics, and the spatial implications of global e-government systems. His teaching interests include globalization, social theory, and economic geography, emphasizing interdisciplinary approaches. Key research areas include the geographies of cyberspace, voting technologies, and the spatial dimensions of secularism and atheism. Warf has also contributed to discussions on cosmopolitanism in urban contexts and the application of actor-network theory in geographical analysis.

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Le Gruenwaldمشاهده پروفایل

استاد

University of OklahomaUnited States

Dr. Le Gruenwald is the David W. Franke Professor and Samuel Roberts Noble Foundation Presidential Professor at the School of Computer Science, University of Oklahoma. She also served as Program Director for Data Management Systems at the National Science Foundation (NSF) and held roles including Director of the University of Oklahoma's School of Computer Science. Her academic journey includes a PhD from Southern Methodist University (1990), an M.S. from the University of Houston, and a B.S. in Physics from the University of Saigon, Vietnam. Research Interests: Her work focuses on Database Management Information Privacy & Security Mobile/Distributed Databases Data Mining Quantum Computing Applications in Databases Outlier Detection in Data Streams Key Projects: Includes NSF-funded research on GPU-accelerated spatial data processing, cloud query optimization, and big data hubs. Notable projects: "Spatial Data Management on GPUs" (2013), "Big Data Innovation Hub for the South" (2015), and quantum data science initiatives (2023). Awards: 2012 NSF Directorate Recognition 2007 Distinguished Alumnus Award (SMU) 2009 ACM Recognition Award 2016-2017 Semantic Big Data Workshop Leadership Advising & Grants: Oversees NSF grants totaling millions, focusing on cyberinfrastructure, ecological forecasting, and medical data analytics. No formal student advisees listed but collaborates extensively with researchers globally. Labs & Teams: Leads initiatives in quantum database optimization, mobile-cloud systems, and GPU-accelerated spatial analytics within OU's School of Computer Science.

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