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Amir AghaKouchakView profile

Professor

• Hydrology
• Climatology
• Remote Sensing of Environment
• +5 more

Amir AghaKouchak is a Chancellor’s Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering, University of California, Irvine (UCI). He directs the Center for Hydrometeorology and Remote Sensing (CHRS) and focuses on interdisciplinary research at the intersection of hydrology, climatology, statistics, and remote sensing. B.Sc. and M.Sc. in Civil Engineering (Water Resources), K.N. Toosi University of Technology, Tehran, Iran (2001, 2005) Ph.D. in Civil and Environmental Engineering, University of Stuttgart, Germany (2010) His research aims to leverage satellite data and ground observations to advance modeling of hydrologic extremes (droughts, floods, landslides) and develop decision-support systems for water resources management. Key areas include climate change impacts , stochastic modeling , and the water-energy nexus . Recent publications highlight his work on multi-hazard analysis, groundwater decline, wildfire resilience, and climate projections. Tools like MhAST and MvCAT demonstrate his methodological contributions to copula-based and multi-hazard modeling.

Nico Van de WegheView profile

Professor

• GeoAI
• GIScience
• Spatiotemporal Analysis
• +8 more

Prof. dr. Nico Van de Weghe is a full Professor of GIScience at the University of Ghent (UGent), affiliated with the CartoGIS research unit. His work bridges computer science, social science, and natural science through geospatial information studies, focusing on enabling machines to reason spatially (GeoAI). Since 2004, he has specialized in knowledge-based AI, particularly spatiotemporal reasoning and moving object analysis, with applications in animal behavior, criminology, healthcare, mobility, and sports. Van de Weghe's research emphasizes hybrid GeoAI systems combining knowledge-driven and data-driven approaches. Keywords include GeoAI, GIScience, Spatiotemporal Analysis, Moving Objects, and Data Mining. Recent publications highlight urban road network analysis, hybrid trajectory modeling, BIM semantic enrichment, and cycling safety studies using virtual reality.

Elahe SoltanaghaiView profile

Assistant Professor

• Wireless Sensing
• Cyber-Physical Systems
• Internet of Things (IoT)
• +12 more

Elahe Soltanaghai is an Assistant Professor in the Department of Computer Science and a Faculty Affiliate in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign. She is also a 2022 NCSA Fellow and received her PhD in Computer Science from the University of Virginia (2019), MS in Computer Engineering from Sharif University of Technology (2014), and dual BS degrees in Computer and Information Technology Engineering from Amirkabir University of Technology (2011, 2013). PhD: University of Virginia, Computer Science, 2019 MS: Sharif University of Technology, Computer Engineering, 2014 BS (Computer Engineering): Amirkabir University of Technology, 2011 BS (Information Technology Engineering): Amirkabir University of Technology, 2013 Her research spans wireless sensing and communication, focusing on Millimeter-wave Radar Sensing (for automotive, mixed reality, structural monitoring), Machine Learning for Wireless Systems (adaptive sensing/communication), Forest IoT (through-canopy biomass and soil sensing), Metaverse Technologies (gaze-based VR/AR), and Low-Power Backscatter Communication (WiFi/power-line tags). She directs the Wireless, Sensing & Embedded Networked Systems (iSENS) Lab and co-directs the Illinois Center for IoT. Her work bridges wireless networking with cyber-physical sensing , emphasizing environmental monitoring (e.g., wildfire fuel detection via radar tags) and human-computer interaction (e.g., gaze-tracking in VR). Recent articles include innovations in passive radar profiling , through-canopy biomass characterization , and integrated communication-sensing protocols . Scientific Awards: Google Research Scholar Award (2022) N2Women Rising Star (2021) ACM SIGMOBILE Dissertation Award (2020) EECS Rising Stars (2019) NCSA Faculty Fellowship (2023) Best Demo Runner-up, IPSN (2023) Teaching Excellence Award (2023) Grants: NASA FireTech Program Grant (2025) NSF Grant for Radar-based Perception (2024) Insper-Illinois Grant for VR Research (2024) Keysight Research Gifts (2022, 2023) T-Mobile Research Gift (2022)

Charles F. HarveyView profile

Professor

• Hydrogeology
• Terrestrial Carbon Management
• Subsurface Chemical Transport and Reaction
• +7 more

Charles F. Harvey is a Professor in the Department of Civil and Environmental Engineering at the Massachusetts Institute of Technology (MIT), where he investigates hydrology, carbon cycling, and groundwater contamination. His work spans tropical peatlands, arsenic pollution in South Asia, and coastal groundwater dynamics, with field sites in Borneo, Bangladesh, and Vietnam. Education: B.A. in Mathematics (Oberlin College, 1986), M.S. in Applied Earth Science (Stanford University, 1992), Ph.D. in Geological and Environmental Sciences (Stanford University, 1996). Harvey’s research focuses on hydrogeology , carbon sequestration , and contaminant transport . He explores how groundwater flow and biogeochemical processes interact in tropical peatlands and coastal systems, with significant implications for climate change and water security. His recent publications emphasize tropical peatland hydrology , arsenic mobilization , and coastal groundwater exchange , integrating field experiments, remote sensing, and computational models. Scientific Awards AGU Fellow GSA Fellow Meinzer Award (GSA) Prince Sultan bin Abdulaziz International Prize for Water M. King Hubbert Award for Hydrology NSF Young Investigator Award Harvey leads the Harvey Lab , mentoring students and researchers in projects ranging from groundwater arsenic mitigation to coastal marsh biogeochemistry . His work bridges terrestrial and marine systems , addressing critical planetary challenges.

Michael WaraView profile

Researcher

• Climate Change Law & Policy
• Energy Law & Policy
• Carbon Pricing
• +5 more

Michael Wara is a Senior Research Scholar at the Stanford Woods Institute for the Environment and Director of the Climate and Energy Policy Program. He holds a JD from Stanford Law School, a PhD in Ocean Sciences from UC Santa Cruz, and a BA from Columbia University. His work bridges legal, scientific, and policy domains to address climate and energy challenges through bipartisan technical assistance and research collaboration with economists, engineers, and scientists. His research focuses on carbon pricing mechanisms, energy innovation, and regulatory solutions for climate policy. He advises policymakers on designing effective laws and regulations, with particular expertise in international environmental treaties like the ozone and climate regimes. Wara also teaches courses on energy law, wildfire policy, and carbon taxation at Stanford Law School. Key contributions include analyzing the economic impacts of EPA regulations, evaluating California’s carbon market mechanisms, and advancing strategies to decarbonize building electrification. His interdisciplinary approach emphasizes practical solutions to global environmental challenges, leveraging Stanford’s expertise in energy systems and policy. Wara’s policy practicum courses engage students in real-world projects such as evaluating carbon pollution standards and wildfire management policies. His work frequently appears in peer-reviewed journals and media outlets like The Atlantic and New York Times , addressing topics like the Supreme Court’s EPA rulings and wildfire insurance issues.

Jacob BukoskiView profile

Assistant Professor

• Forest Carbon Sequestration
• Carbon Markets
• Biogeochemistry
• +3 more

Jacob Bukoski is Assistant Professor and Director of the Forests and Climate Change graduate certificate at Oregon State University's College of Forestry. His research examines forest carbon dynamics, climate mitigation, and international forestry. Education includes: PhD in Environmental Science from UC Berkeley MS in Environmental Science from Yale University BA in Environmental Studies from UNC Chapel Hill Research focuses on carbon accumulation in forests, mangrove conservation, and climate policy integration. Teaches interdisciplinary courses on social-ecological systems and forest carbon analysis. Recent publications quantify carbon storage in global plantations and mangrove ecosystems. Current projects investigate albedo impacts on reforestation protocols and coastal conservation synergies. Directs graduate studies in Forests and Climate Change.

Farnoush Banaei-KashaniView profile

Associate Professor

• Data Management
• Big Data
• Decision Support Systems
• +4 more

Farnoush Banaei-Kashani is an Associate Professor (Tenured) in the Department of Computer Science and Engineering at the University of Colorado Denver. She also holds an Adjunct Associate Professor position in the Department of Mathematical and Statistical Sciences. As the founder and director of the Big Data Management and Mining Lab (BDLab), she leads multiple GAANN Fellowship Programs, including BDSE (Big Data Science and Engineering), DDC (Data-Driven Cybersecurity), and II (Infrastructure Informatics). She directs the 'Data Science in Biomedicine' MS Track and focuses on data-driven decision systems (DDSs), integrating machine learning and big data analytics into healthcare, energy, transportation, and environmental applications. Education: Details not explicitly provided in the text. Her research spans data management cycles for DDSs, addressing challenges like big data volume, velocity, and variety. Key projects include iWatch (crime surveillance), POCM (mobility monitoring), and GeoSIM (urban texture documentation). She teaches courses such as Machine Learning Systems, Big Data Science, and Data Mining. Publications highlight advancements in sea ice classification, federated learning, proteomic networks, and privacy-preserving AI. Her work is funded by NSF, NIH, DOT, and industry partners like Google and IBM. She has advised numerous students and contributes to academic leadership as editor, conference chair (ACM SIGSPATIAL 2018/2019), and program committee member for venues like SIGMOD and KDD.

Frank HeitmullerView profile

Associate Professor

• Fluvial Geomorphology
• Coastal Geomorphology
• Sedimentology
• +3 more

Dr. Frank Heitmuller is an Associate Professor at the University of Southern Mississippi, affiliated with the Department of Geology and Geography within the College of Arts and Sciences. His research focuses on fluvial and coastal geomorphology, sedimentology, and hydrology, particularly along the northern Gulf Coast. He collaborates across disciplines to address ecosystem dynamics and land-use policies. He holds a PhD (2009), MA (2002), and BS (1998) from the University of Texas at Austin and Florida State University, respectively. His teaching includes courses like Physical Geology, Geomorphology, and Hydrology. Research interests include river dynamics, sediment transport, coastal ecosystems, and the interplay between abiotic factors and environmental policies. His work emphasizes fluvial systems in Texas and Louisiana, with studies on flood impacts, channel adjustments, and sedimentologic processes. Publications span topics such as flood sedimentation, lithologic controls on river channels, and policy-related sediment transport modeling. He is affiliated with organizations like the Geological Society of America and Association of Environmental and Engineering Geologists. Languages: English (native), Spanish (limited working). His expertise includes environmental science and soils.

Jason RittView profile

Associate Professor

• Computational Neuroscience
• Data Science
• Neuroengineering
• +3 more

Jason Ritt is an Associate Professor of Brain Science (Research) and Scientific Director of Quantitative Neuroscience at the Robert J. and Nancy D. Carney Institute for Brain Science, Brown University. He holds affiliations with the Data Science Institute and collaborates across disciplines on quantitative research methods. Education : B.S., M.A., and Ph.D. in Neuroscience from Boston University (1997–2003). Research : Focuses on neural processing during active sensing and neuroengineering for neurostimulation. Combines electrophysiology, optogenetics, and theoretical approaches in rodent models. Develops closed-loop systems for studying sensory neural prosthetics and brain-machine interfaces. Key areas include synaptic diversity, neurocontrol algorithms, and sensory restoration. Teaching : Instructs NEUR 2100 NeuroPracticum, integrating hands-on neuroscience research training.

Yang LiuView profile

Professor

• Climate Change and Health
• Satellite Remote Sensing
• Air Pollution Exposure
• +3 more

Dr. Yang Liu is the Chair and Gangarosa Distinguished Professor in the Gangarosa Department of Environmental Health at Emory University's Rollins School of Public Health. His research focuses on satellite remote sensing applications for public health, climate change impacts, and air pollution exposure modeling. He leads federally funded projects integrating satellite data into health studies and serves as a PI for the NIH-funded Climate & Health Actionable Research and Translation (CHART) Center. Education: Ph.D. (Harvard University), M.S. (University of California), B.S. (Tsinghua University). Professional Affiliations include NASA mission science teams and the ORISE Faculty Fellowship at CDC. Research interests span satellite aerosol retrieval, climate-health linkages, and machine learning in environmental statistics. Notable work includes advancing wildfire smoke health impacts, PM2.5 modeling, and climate dashboard development for Georgia. Awards include Gangarosa Distinguished Professorship, ORISE CDC Fellowship, and leadership in NIH/NASA initiatives. His lab develops innovative tools for environmental health monitoring and policy translation.

Mohamed BeshirView profile

Professor

• Fire Dynamics
• Fire Safety Engineering
• Informal Settlements
• +3 more

Mohamed Beshir is a Professor in the Department of Civil and Environmental Engineering at Carleton University, Ottawa, Canada. His research focuses on fire safety engineering, urban fire spread in informal settlements, and enhancing resilience in low- and middle-income communities. He teaches courses such as Fundamentals of Fire Safety Engineering and Fire Dynamics I , contributing to advanced engineering education. Education : PhD in Fire Safety Engineering, University of Edinburgh (2022). Professional Experience : Previously worked as a fire engineer at a leading UK consultancy, addressing fire safety in residential, retail, and historical buildings. Prof. Beshir’s research interests include fire and smoke dynamics, combustion modeling, compartment fires, and fire safety resilience. His work addresses environmental and economic sustainability in construction, alongside human behavior in fire scenarios. His scientific contributions span fire dynamics in informal settlements, wind effects on flashover, and energy harvesting technologies. He has received awards like the Sheldon Tieszen Student Award (2020) and the Best MSc Thesis Poster award (IMFSE, 2017). Teaching : CIVE 5609/IPIS 5504 (Fire Safety Engineering), CIVE 5610 (Fire Dynamics I). Collaborations : Worked with researchers like R. Walls, Y. Wang, and D. Rush on large-scale fire experiments and CFD modeling.

David PerkinsonView profile

Professor

• Combinatorics
• Graph Theory
• Algebraic Geometry
• +5 more

David Perkinson is a Professor of Mathematics at Reed College, where he holds a position in the Department of Mathematics. His research focuses on combinatorics, algebraic geometry, and discrete mathematics, with a particular emphasis on sandpile models, graph theory, and matroid theory. He is the author of the textbook *Divisors and Sandpiles: An Introduction to Chip-Firing*, which explores the combinatorial theory of chip-firing on graphs. Perkinson has also developed software tools like the Sandpile Java App, which visualizes and analyzes the Abelian Sandpile Model. He organizes the Cascade Lectures in Combinatorics (CALICO), a series of conferences funded by the National Science Foundation, aimed at fostering collaboration among researchers in combinatorics. His work bridges discrete mathematics with algebraic geometry, emphasizing connections between graph theory and geometric structures. Perkinson teaches advanced courses in analysis and contributes to the academic community through his research on topics such as divisor theory on graphs, sandpile groups, and combinatorial game theory. His recent publications (2015–2024) address matroid theory, sandpile dynamics, and applications of algebraic methods to discrete systems.

John van de LindtView profile

Professor

• Earthquake Engineering
• Community Resilience
• Structural Reliability
• +3 more

John W. van de Lindt is the Harold H. Short Endowed Chair Professor in Civil and Environmental Engineering at Colorado State University and Co-director of the NIST Center of Excellence for Risk-Based Community Resilience Planning. His research develops performance-based engineering frameworks for natural hazards including earthquakes, tsunamis, hurricanes, and tornadoes. Research integrates physical testing (full-scale shake tables), computational modeling, and field reconnaissance to quantify community resilience. Key areas include: multi-hazard fragility assessment; coupled physical-socio-economic recovery modeling; climate adaptation strategies; and resilient timber structural systems. Recent projects include longitudinal tornado impact studies, earthquake-tsunami risk assessment for coastal communities, and life-cycle analysis of sustainable buildings. Publications document innovations in resilience-informed design, validation of recovery models using disaster reconnaissance, and development of the IN-CORE computational platform for community resilience planning. Research consistently bridges structural engineering with social science for multidisciplinary disaster impact reduction. Awards include ASCE Fellow (2019), Ernest E. Howard Award (2017), and multiple best paper awards. Van de Lindt has led disaster reconnaissance following major US events including the 2021 Midwest tornado outbreak.

Gifford H. MillerView profile

Professor

• Quaternary stratigraphy
• Geochronology
• Paleoclimatology
• +9 more

Gifford H. Miller is a Professor at the University of Colorado Boulder and serves as the Director of the Center for Geochemical Analysis of the Global Environment (GAGE) . His research focuses on reconstructing Earth's climate system using Quaternary records, with expertise in amino acid geochronology and cosmogenic exposure dating. Specializes in Arctic climate history, ice sheet dynamics, and human impacts on ecosystems Active in teaching courses on global change, Quaternary dating methods, and Holocene nonlinearities His recent work explores Holocene climate variability through lake sediments in Iceland and Baffin Island, integrating biomarkers and ancient DNA. Awards include the 2021 University of Colorado Distinguished Professor title and fellowships from AGU and GSA. 2021: Distinguished Professor, University of Colorado System 2018: Distinguished Career Award, American Quaternary Association 2009: Elected Fellow, American Geophysical Union

Robert DickView profile

Professor

• Embedded Systems
• Learning Dynamics
• Efficient Machine Learning
• +6 more

Robert Dick is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, part of the College of Engineering. He previously held roles as Associate Professor at Northwestern University and Visiting Professor at Tsinghua University. He earned his Ph.D. from Princeton University and a Bachelor's degree from Clarkson University. His research focuses on Embedded Systems, Learning Dynamics, Efficient Machine Learning, Privacy, and Censorship Resistance. Key themes include defining problems with correct costs/constraints, broadening access to information technology, mitigating negative tech impacts, and solving inference problems with limited resources. He leads the Embedded Systems Graduate Program and is a member of the Michigan Integrated Circuits Laboratory (MICL). His work spans thermal management, energy-efficient computing, and low-power wireless networks. Notable contributions include innovations in embedded system design, machine vision frameworks, and sensor networks. Courses taught include EECS 507 (Embedded Systems Research), EECS 373 (Embedded System Design), and ENGR 100 (Autonomous Systems). His recent publications emphasize AI model analysis, energy-efficient networks, and environmental sensing. Projects include MemX (attention-aware wearable tech) and LoRa-based LPWAN protocols. Dick co-founded Stryd, a company commercializing embedded systems innovations.