Find Academic Supervisors

Ben LivnehView profile

Associate Professor

• Hydrology
• Climate Change Impact on Water Resources
• Land Surface Modeling
• +7 more

Ben Livneh is an Associate Professor at the University of Colorado Boulder , affiliated with both the Civil, Environmental, and Architectural Engineering Department and the Cooperative Institute for Research in Environmental Sciences (CIRES) . As Director of the Western Water Assessment , he bridges academic research with regional climate resilience initiatives. Ph.D. in Civil Engineering (Hydrology), University of Washington (2012) MESc in Civil Engineering, University of Western Ontario (2006) His research explores hydrologic responses to climate and land-cover changes , focusing on snowpack dynamics, wildfire impacts on water quality, sediment transport, and drought predictability. Key projects include simulations of montane snowpack for wolverine habitat preservation and post-fire landslide susceptibility analysis . Recent publications highlight continental-scale hydraulic geometry datasets , climate-energy nexus challenges , and global lake level reconstructions using satellite data. His work has been recognized by the AGU Hydrologic Sciences Early Career Award (2022) and NASA New Investigator Program (2018) . Scientific Awards AGU Hydrologic Sciences Early Career Award (2022) NASA New Investigator Award (2018) Symposium Scholar, DISCCRS VIII (2013) CIRES Visiting Fellowship (2012) Ben leads interdisciplinary collaborations with institutions like the University of Alaska Southeast and NOAA , addressing climate-water-energy-food nexus challenges through advanced modeling and remote sensing techniques.

Senthold AssengView profile

Professor

• Digital Agriculture
• Climate Change Impacts
• Sustainable Crop Production
• +5 more

Prof. Senthold Asseng is a Professor of Digital Agriculture at the Technical University of Munich (TUM), leading the Hans Eisenmann Forum for Agricultural Sciences since 2021. His research focuses on climate-plant-soil systems modeling, addressing global food security, sustainable agriculture, and digital technologies like vertical farming and autonomous robotics. He holds a PhD from Humboldt University Berlin and habilitation from TUM, with prior roles at CSIRO Australia and the University of Florida (as Full Professor and Director of the Florida Climate Institute). His honors include AAAS Fellow, Web of Science Highly Cited Researcher, and multiple teaching/mentorship awards. Education: BSc/MSc in Agronomy & Horticulture, Humboldt University Berlin (1989-1990) PhD in Agronomy, Humboldt University Berlin (1994) Habilitation in Agronomy, TUM (2004) Research Interests: Climate change impacts on crops, digital agriculture technologies, systems analysis for autonomous farming, and vertical farming sustainability. His work integrates modeling, robotics, and environmental control to enhance agricultural resilience and productivity. Awards: AAAS Fellow (2019) Highly Cited Researcher (2019) UF Research Foundation Professor (2016-2019) Grants & Leadership: Led interdisciplinary projects like AgMIP-Wheat, SECC, and FAO advisory roles. Active in editorial roles for journals like Global Change Biology and Environmental Research Letters . Labs/Teams: Chair of Digital Agriculture at TUM, collaborating on projects like Smartfield and Proteins4Singapore , focusing on automation, controlled environment agriculture, and climate-smart solutions.

Mary SilberView profile

Professor

• Dynamical Systems
• Bifurcation Theory
• Climate Modeling
• +3 more

Mary Silber is a Professor in the Department of Statistics and the College at the University of Chicago, and serves on the Executive Committee of the Committee on Computational and Applied Mathematics (CCAM). Her research focuses on dynamical systems and bifurcation theory, with applications to climate science, ecological dynamics, and pattern formation. She investigates tipping points in climate systems and self-organized vegetation patterns in drylands, exploring mathematical mechanisms behind abrupt transitions and noise-driven instability. Her work bridges theoretical mathematics with real-world phenomena, including Arctic sea ice melt processes and feedback mechanisms in ecosystems. Notable grants include a $50M interdisciplinary initiative between Northwestern and UChicago for life sciences data science and a collaborative Institute for Foundational Data Science. Silber’s contributions span bifurcation theory, spatio-temporal chaos, and control of unstable dynamical systems, with a focus on symmetry-breaking and model reduction techniques. Her recent research emphasizes resilience in dryland ecosystems under climate variability and the role of percolation thresholds in Arctic melt pond dynamics. Despite no formal student listings, her work is supported by interdisciplinary collaborations and federal grants in applied mathematics and environmental science.

Padhraic SmythView profile

Professor

• Machine Learning
• Artificial Intelligence
• Pattern Recognition
• +3 more

Padhraic Smyth is a Distinguished Professor and Hasso Plattner Endowed Chair in Artificial Intelligence at the University of California, Irvine (UCI), holding joint appointments in the Department of Computer Science and Department of Statistics. He leads the DataLab research group, focusing on machine learning, AI, and their applications in climate science, healthcare, and education. His research spans probabilistic modeling, deep learning, and human-AI collaboration. Education: PhD in Electrical Engineering from the California Institute of Technology (1988), MSEE (1985), and BEng (1984). Prior to UCI, he worked at NASA's Jet Propulsion Laboratory (1988–1996). Research Interests: Machine learning, AI, pattern recognition, Bayesian methods, climate science applications, algorithmic fairness, and human-AI interaction. He has published over 200 papers and co-authored textbooks like Modeling the Internet and the Web . Awards: ACM Fellow, IEEE Fellow, AAAI Fellow, AAAS Fellow, and ACM SIGKDD Innovation Award recipient. He has held leadership roles in UCI's Center for Machine Learning and Data Science. Key Projects: Human-AI collaboration frameworks, robustness in deep learning, climate modeling using spatio-temporal data, and AI fairness with missing attributes. Collaborates with institutions like NASA and industry partners (e.g., Google, eBay). Labs/Teams: Director of UCI’s Data Science Initiative and HPI Research Center in Machine Learning. Supervises a vibrant PhD program with over 30 alumni in academia and industry.

Jessica A EismaView profile

Assistant Professor

• Urban Hydrology
• Dryland Hydrology
• Remote Sensing
• +7 more

Dr. Jessica A Eisma is an Assistant Professor of Water Resources in the Department of Civil Engineering at the University of Texas at Arlington. Her research focuses on urban and dryland hydrology, remote sensing, machine learning, citizen science, and climate change adaptation. She holds a PhD from Purdue University (2020) and prior degrees from Purdue and Michigan State University. Her work emphasizes community-centered solutions for flood resilience and green infrastructure planning in vulnerable areas. Education: PhD, Civil Engineering, Purdue University, 2020 MS, Civil Engineering, Purdue University, 2015 BS, Civil Engineering, Michigan State University, 2012 Research Interests: Urban hydrology and climate impacts on rainfall patterns Remote sensing applications for water resource management Machine learning in hydrological modeling Citizen science for environmental data collection Green infrastructure design for flood mitigation Recent Article Trends: Dr. Eisma’s recent work addresses urbanization effects on extreme rainfall, UAV-based thermal mapping of micro-urban heat islands, and equity-focused green infrastructure planning. Her publications often bridge technical innovation and community-driven solutions for climate resilience. Awards: 2024: Faculty/Staff Graduating Student Impact Reception (UTA) 2023: Emerging Leaders Award (Purdue CEG SAC) 2020: Magoon Award for Excellence in Teaching (Purdue College of Engineering) 2015: NSF Graduate Research Fellowship Advising & Grants: Advises 3 PhD students and multiple undergrad researchers Principal Investigator on grants totaling over $1M from NOAA, NSF, and others Focus areas: Houston flood resilience, Texas urban stormwater systems Lab & Teams: Leads the SEUSI Lab, dedicated to socio-environmental solutions in urban sustainability and infrastructure. Collaborates with national and international partners on water security and climate adaptation projects.

Nicole M. GaspariniView profile

Associate Professor

• Fluvial Geomorphology
• Tectonic Geomorphology
• Landscape Evolution
• +2 more

Nicole M. Gasparini is an Associate Professor in Tulane University's Department of Earth and Environmental Sciences, School of Science & Engineering. She holds a Ph.D. from MIT (2003) and researches fluvial/tectonic geomorphology, landscape evolution modeling, and climate-erosion interactions using tools like Landlab. Her work investigates sediment transport, river network evolution, and human impacts on landscapes. Research integrates field data with numerical models to quantify erosion processes across diverse environments. Publications demonstrate expertise in geomorphic model development, particularly through contributions to the Landlab toolkit. Recent articles focus on climatic controls on erosion, fault geomorphology, and uncertainty quantification in earth-surface models. Awards: Marguerite T. Williams Award for contributions to geosciences and advocacy against harassment in STEM Leads collaborative projects on landscape response to climate change and mentors students/postdocs in geomorphology and computational modeling.

• Climate Change
• Deforestation
• Agricultural Science
• +5 more

Confidence Duku is a researcher at Wageningen University & Research, specializing in climate resilience and agricultural systems. Their work integrates climate science, hydrology, and machine learning to address food security, deforestation impacts, and flood forecasting in data-scarce regions. Research Interests: Climate change modeling in Eastern Africa Hydrology-guided neural networks for flood forecasting Agricultural resilience (common bean, green gram) under climate stressors Economic impacts of deforestation in Brazil Climate services for financial institutions and SMEs Notable Contributions: Developed frameworks for climate-smart business planning and flood prediction, with a focus on regions like East Africa and Brazil. Their work emphasizes ecosystem services and adaptation strategies. Collaborations: Active in multi-institutional projects, including partnerships with SNV and Copernicus. Led LVVN projects on cascading climate risks and reforestation impacts.

Laura L. Van EerdView profile

Professor

• Sustainable Soil Management
• Agriculture
• Cover Crops
• +3 more

Dr. Laura L. Van Eerd is a Professor of Sustainable Soil Management at the University of Guelph Ridgetown Campus, affiliated with the School of Environmental Sciences. Her research focuses on biogeochemical cycling of nitrogen and carbon in agroecosystems, emphasizing cover crops, soil health, and sustainable agriculture. She holds a BSc (Env), MSc, and PhD from the University of Guelph. Her research addresses: (1) cover crop roles in soil health and productivity, (2) nitrogen use efficiency, and (3) mitigating environmental impacts of agricultural practices. Current projects include cover crop nitrogen losses, remote sensing for crop nitrogen deficiency, and pest control product environmental impacts. She has published over 50 peer-reviewed articles, including the 2018 Best Paper in the Canadian Journal of Plant Science. Education: BSc (Environmental Science), University of Guelph MSc, University of Guelph PhD, University of Guelph Her awards include recognition as one of Canada’s Influential Women in Agriculture (2020), the Dr. Ron Pitblado Teaching Excellence Award (2016), and the OAC Distinguished Extension Award (2011). Her work bridges research, teaching, and extension to support Ontario’s agricultural sector. Advising and grants: Laura leads research teams at Ridgetown Campus, focusing on vegetable production systems and sustainable soil management. Her grants include funding for cover crop nitrogen dynamics and soil health indicator studies. Labs/teams: Active in Ridgetown Campus’s agricultural research initiatives, collaborating with growers and government to develop practical solutions for soil health and environmental sustainability.

Peter HuybersView profile

Professor

• Climate change
• Paleoclimatology
• Environmental science
• +8 more

Peter Huybers is a Professor of Earth and Planetary Sciences and Environmental Science and Engineering at Harvard University , where he investigates the climate system and its societal implications, including interactions between volcanism and glaciation , extreme temperature predictability , and climate change impacts on food production . Research interests span climate change attribution , paleoclimate reconstruction , drought dynamics , crop yield modeling , and earth system feedbacks . His work often integrates art-historical analysis with climate science, as seen in studies of 19th-century air pollution through Turner and Monet paintings . Scientific awards include funding from Harvard Data Science Initiative (2023) for projects on climate change and food supply volatility Amazon Web Services (2023) grant His 20+ peer-reviewed articles since 2020 focus on climate proxies , hydrological modeling , solar forcing , and agricultural-climate interactions , with recent work in Nature , PNAS , and Science Advances . Advising : Mentored 10+ PhD students including Parker Liautaud , Duo Chan , and Marena Lin , while leading research teams with current members like Greta Berendes and Caro Park . Former staff include Jon Proctor and Lucas Vargas Zeppetello , the latter now at UC Berkeley (2024).

Sarah KangView profile

Professor

• Climate Dynamics
• Atmospheric Circulation
• Ocean Circulation
• +3 more

Sarah Kang is the Director of the Department of Climate Dynamics at the Max Planck Institute for Meteorology in Hamburg, Germany, a position she has held since August 2023. She leads the Director's Research Group (CDY) focusing on fundamental climate dynamics. Prior to this, she served as Professor in the Department of Urban and Environmental Engineering at Ulsan National Institute of Science and Technology (UNIST) in South Korea from 2011-2023, progressing through assistant, associate, and full professor ranks. Her research examines complex climate system dynamics, with emphasis on: Large-scale atmosphere and ocean circulation patterns Tropical-extratropical climate interactions Hydrological cycle responses to climate change Mechanisms of polar amplification Teleconnections between ocean basins and climate zones Analysis of her recent publications reveals dominant research themes: Ocean-atmosphere coupling mechanisms Radiative forcing and climate sensitivity Hemispheric climate asymmetries Tropical precipitation dynamics Polar warming impacts on global circulation with consistent methodology employing high-resolution climate modeling and observational verification. Major scientific recognitions include: AGU Atmospheric Sciences Ascent Award (2022) AOGS Kamide Lecture Award (2018) Editor's Citation for Excellence in Refereeing (GRL 2018) UNIST Teaching Excellence Award (2012) NCAR Advanced Studies Fellowship (2009) She maintains extensive professional engagement as: Co-chair of CLIVAR Climate Dynamics Panel Science Steering Committee member for CFMIP Associate Editor for Frontiers in Climate Editor for AGU Advances Board member of Korean Meteorological Society

• Hydrogeology
• Karst Aquifers
• Groundwater Flow Modeling
• +3 more

Dr. HAJNAL Géza is an Associate Professor at the Budapest University of Technology and Economics (BME), Faculty of Civil Engineering, where he serves in the Department of Hydraulic and Water Resources Engineering. His office is located in Room K. ép / mf. 12/7, and he can be contacted via email at hajnal.geza@emk.bme.hu or phone at +36 1 463 2362. His teaching portfolio includes active courses such as Hydraulic Engineering, Water Management (BMEEOVVAT43) and Hydrometric Field Course (BMEEOVVAI44). Previously, he taught Hidrogeology (BMEEOGMMET3) and Hydrogeology of Subsurface Water (BMEEOGMDT81). HAJNAL's research specializes in hydrogeology , with emphases on karst aquifer dynamics, groundwater flow modeling, climate impacts on hydrology, and hydraulic engineering. His work integrates field measurements (e.g., drip-water monitoring in Buda Castle Cave) with advanced numerical modeling to address complex hydrological challenges in Hungarian watersheds. Analysis of his 15 most recent publications (2013–2025) reveals dominant themes: 73% focus on karst/fractured aquifers , 20% on hydrological modeling techniques , and 7% on socio-environmental conflicts. Recurrent technical subfields include seepage flow validation, transmissivity determination, and rainfall-runoff sensitivity. No scientific awards, grants, student advisees, or lab affiliations are documented in the provided materials.

• Climate Change Attribution
• Extreme Weather Events
• Agricultural Impacts of Climate Change
• +3 more

Mariam Zachariah serves as a Research Fellow at the Centre for Environmental Policy within the Faculty of Natural Sciences at Imperial College London. She is a core contributor to World Weather Attribution (WWA), an international scientific collaboration conducting rapid climate change attribution analyses for extreme weather events globally. Her work bridges climate science, vulnerability assessment, and policy-relevant research. Her educational foundation includes a PhD from the Indian Institute of Technology Bombay (IITB), where she investigated climate impacts on Indian agriculture. This research focused on drought and extreme temperature effects on crop yields in major agrarian regions, recognizing agriculture's critical role in India's climate-vulnerable economy. Zachariah's research centers on near-real-time attribution of extreme events to quantify human-induced climate change influences. Her expertise spans climate modeling, statistical analysis of extreme weather, and integrating vulnerability frameworks to assess compound impacts on communities. She examines how climate change interacts with socioeconomic factors to exacerbate disasters, particularly in agricultural systems and flood-prone regions worldwide. Analysis of her recent publications reveals a dominant focus on rapid attribution of droughts, floods, and heatwaves across diverse global contexts - from the Horn of Africa to Central Europe and South America. These studies consistently demonstrate climate change as a significant amplifier of event severity, while emphasizing how pre-existing vulnerabilities determine actual impacts. Her work increasingly addresses compound hazards and the intersection of climate change with infrastructure failures and land management. As a key member of the World Weather Attribution initiative, Zachariah collaborates with climate scientists, social scientists, and vulnerability experts in a unique operational framework that delivers scientific assessments within days of extreme events. This work directly informs policymakers, media, and affected communities about climate change's role in contemporary disasters.

Hyuck Jin ParkView profile

Professor

• Landslide Hazard Assessment
• Geotechnical Engineering
• Machine Learning Applications
• +5 more

Hyuck Jin Park is a Full Professor in the Department of Energy Resources and Geosystems Engineering at Sejong University, South Korea, where he has been teaching and conducting research since 2003. With a Ph.D. in Engineering Geology from Purdue University, his expertise spans geotechnical engineering, landslide analysis, and geospatial technologies. Professor Park has built a distinguished career in landslide hazard assessment, combining traditional geotechnical approaches with modern machine learning techniques to improve prediction accuracy and risk management. His educational background includes: B.S. in Geology from Yonsei University (1990) M.S. in Geophysics from Yonsei University (1993) Ph.D. in Engineering Geology from Purdue University (2011) Professor Park's research focuses on the spatial and temporal probability of landslide occurrence, utilizing fuzzy logic, probabilistic analysis, GIS, Monte Carlo simulation, and machine learning for landslide hazard assessment. His work integrates physically based models with statistical approaches to better understand landslide mechanisms and improve prediction capabilities. He has made significant contributions to the development of methodologies that account for geological uncertainties in hazard assessment, with applications ranging from rock slope stability to rainfall-induced shallow landslides. His recent publications demonstrate a clear trend toward integrating explainable artificial intelligence with traditional geotechnical approaches for natural hazard assessment. Professor Park's work increasingly focuses on making machine learning models transparent and interpretable while maintaining high predictive accuracy. The research spans multiple hazard types including landslides, earthquakes, and floods, with a growing emphasis on climate change impacts and data-scarce environments. With an h-index of 28 and over 3,421 citations, Professor Park has established himself as a leading researcher in his field. His work has been published in high-impact journals including Engineering Geology, Landslides, and Catena, reflecting the significance and quality of his contributions to geotechnical engineering and natural hazard assessment. Professor Park has mentored numerous researchers through collaborative projects and has secured funding for his innovative work in landslide prediction and hazard assessment. His research has involved significant international collaboration, particularly with researchers from Malaysia, Australia, and Yemen, addressing landslide and flood risks in diverse geographical contexts. He leads research activities within the Department of Geoinformation Engineering at Sejong University and has contributed to the development of specialized tools like DEWS (Distance, Elevation, Watershed, and Slope unit) for landslide early warning systems.

Mingfang TingView profile

Professor

• Climate Change Impact
• Climate Dynamics
• Precipitation Extremes
• +5 more

Mingfang Ting is a Professor of Climate at the Columbia Climate School , affiliated with the Lamont-Doherty Earth Observatory . She co-directs the M.S. in Climate program and serves as Co-Senior Director for Education at the Columbia Climate School. Her research focuses on climate variability, extremes, Asian monsoons, Arctic sea ice, and climate change impacts on agriculture and health. Education: Ph.D. in Climate Dynamics (Princeton University, 1990), M.S. and B.S. from Peking University (1985, 1983). She has taught climate science at Columbia since 2004. Research Interests: Investigates weather/climate extremes in a warming world, Asian monsoon dynamics, Arctic sea ice variability, decadal climate modes, and hydroclimate impacts. Recent work emphasizes heatwaves, drought-flood linkages, and climate model projections. Key Projects (2020–2023): Advancing predictive understanding of North American drought Asian monsoon response to climate change Causal mechanisms of dry/humid heat extremes Arctic transport pathways and sea ice loss Scientific Contributions: Authored/co-authored over 200+ peer-reviewed articles. Her 2022 analysis of the 2021 North American heatwave and 2022 Pakistan floods exemplifies climate attribution science. Awards: AMS Distinguished Scientific Award (2021) AGU Fellow (2022) NSF CAREER Award (1995) Reuters' World’s Top Climate Scientists (2021) Leadership: Former Co-Editor-in-Chief of Journal of Climate (2020–2023). Active in climate education and global resilience initiatives through the Decarbonization Network. Labs/Teams: Leads interdisciplinary teams at LDEO focusing on climate dynamics and extreme event analysis. Collaborates internationally on monsoon systems and Arctic research.

Ning LuView profile

Professor

• Unsaturated Soil Mechanics
• Vadose Zone Hydrology
• Slope Stability
• +7 more

Ning Lu is a Professor in the Department of Civil and Environmental Engineering at the Colorado School of Mines, College of Engineering and Computational Sciences. His work focuses on fundamental soil physical processes in variably saturated porous media, with applications in geotechnical and environmental engineering. Research Interests: Dr. Lu's research spans unsaturated soil mechanics , vadose zone hydrology , slope stability , and soil-water interaction . He investigates fluid flow, chemical transport, heat transfer, stress, and deformation across scales—from atomic potentials to engineering-scale behavior. His work addresses critical problems such as expansive soil damage, nuclear waste containment, and shallow landslides induced by rainfall. His recent publications (2016–2024) reflect a cohesive research program advancing the theoretical foundations of soil physics. Key themes include re-evaluating classical concepts like pore water pressure, developing unified models for soil water retention and hydraulic conductivity, and introducing suction stress as a critical variable for slope instability prediction. These works appear in leading journals such as the Journal of Geotechnical and Geoenvironmental Engineering and Reviews of Geophysics , indicating sustained high-impact contributions to the field. Scientific Awards: Karl Terzaghi Award, American Society of Civil Engineers, 2023 Norman Medal, American Society of Civil Engineers, 2021 Maurice Biot Medal, American Society of Civil Engineers, 2017 Ralph B. Peck Medal, American Society of Civil Engineers, 2017 Practice Paper of the Year Award, GTJ, ASTM, 2016 J.J. Croes Medal, American Society of Civil Engineers, 2010 Advising and Grants: While specific students and grants are not listed, Dr. Lu has authored two influential textbooks— Unsaturated Soil Mechanics (2004) and Hillslope Hydrology and Stability (2012)—indicating significant educational leadership and mentorship. His service on the National Academies committee for Spirit Lake/Toutle River system (2016–2017) reflects engagement in national-level environmental and engineering policy. Labs and Teams: Although no specific lab or team name is provided, his research program involves experimental, theoretical, and computational approaches to soil physics, likely supported by a research group at Colorado School of Mines.