Find Academic Supervisors

• Remote Sensing
• Urban Environment
• Nighttime Light Analysis
• +4 more

Jie Li is a Clinical Assistant Professor (Part-Time) in Molecular Microbiology & Immunology at USC. His research applies remote sensing and spatial data science to environmental health challenges, with emphasis on urban nighttime light analysis, air quality monitoring, and climate-health interactions. Research Focus: Key investigations include: Urban light pollution characterization using satellite data Applications of VIIRS and Luojia-1 satellite systems Fine-scale particulate matter mapping Green space impacts on cognitive health Environmental justice dimensions of climate exposures Recent methodological innovations include deep ensemble learning for temperature reconstruction and hyperspectral data processing for air quality assessment. Case studies frequently examine Hong Kong and Los Angeles as urban laboratories. His work demonstrates strong integration of remote sensing, epidemiology, and urban planning perspectives. Studies of Earth Hour participation effects provide evidence for lighting policy interventions, while temperature variability research highlights climate justice concerns.

Anaïs CouasnonView profile

Researcher

• Flood Risk Management
• Climate Change
• Environmental Science
• +3 more

Anaïs Couasnon is a PhD researcher at the Department of Water and Climate Risk, Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, part of the Faculty of Science. Her research focuses on compound flood risk modeling, probabilistic methods, and global hazard assessment under climate change. She is supervised by Dr. Philip Ward and Dr. Hessel Winsemius as part of a VIDI project. Education: MSc in Hydraulic Engineering (TU Delft, 2017); BSc in Civil Engineering (McGill University, 2010). Research interests include probabilistic modeling, multivariate dependence analysis, flood risk management, and climate impacts on coastal-riverine interactions. She contributes to global datasets like COAST-RP and socio-hydrological benchmarking. Key activities include: Developing frameworks for compound flood risk assessment Modeling extreme sea-level events and storm surges Collaborating on global hazard frameworks and disaster risk reduction strategies Contributions to datasets include: COAST-RP dataset Panta Rhei socio-hydrological benchmark dataset

Francisco Estrada PorrúaView profile

Research Fellow

• Environmental Economics
• Climate Change Economics
• Integrated Assessment Modeling
• +5 more

Francisco Estrada Porrúa is a Visiting Fellow in the Department of Environmental Economics at the Institute for Environmental Studies (IVM), Faculty of Science, Vrije Universiteit Amsterdam, and a member of the Climate Change research group at the Center for Atmospheric Sciences, National Autonomous University of Mexico (UNAM). His work bridges environmental economics and climate science, focusing on integrated assessment modeling and socio-economic consequences of climate change. Education includes: PhD (2015) in Environmental Economics, Vrije Universiteit Amsterdam MSc (2010) in Risk Management, Instituto Tecnológico Autónomo de México (ITAM) Bachelor's (1999) in Economics, Universidad Iberoamericana His research expertise spans time-series econometrics, climate change scenario development, and uncertainty analysis. Key focuses include assessing climate impacts on agriculture, evaluating regional climate policies, and modeling urban expansion's effects on biodiversity and ecosystems. He emphasizes the interplay between economic systems and environmental sustainability, particularly in developing nations like Mexico. Recent publications highlight trends in analyzing urban vs. rural carbon cost dynamics, national climate knowledge frameworks, spatial-temporal climate variability impacts, biome exposure modeling, and urban heat island risks. Notable contributions include developing stochastic integrated assessment models and regional climate scenarios. No scientific awards explicitly mentioned in the profile. However, he served as a contributing author for the IPCC's Fourth Assessment Report (Working Group II) and expert reviewer for the Fifth Assessment Report (Working Group II), reflecting his peer recognition in climate science. Estrada coordinates climate impact research projects and has supervised two PhD theses, though student names aren't listed. He actively collaborates across institutions, evidenced by frequent international co-authorships and contributions to datasets like 'Synergistic impacts of global warming' (2020) and 'Data_PlosOne.xlsx' (2017). Affiliated with VU Amsterdam's IVM institute and UNAM's Center for Atmospheric Sciences, he contributes to interdisciplinary teams addressing climate change mitigation and adaptation strategies in complex socio-ecological systems.

Joseph AmsiliView profile

Researcher

• Soil Health
• Soil Carbon Dynamics
• Sustainable Soil Management
• +3 more

Joseph Amsili is a Senior Extension Associate and Program Director for the New York Soil Health Program at Cornell University's School of Integrative Plant Science, Department of Soil and Crop Sciences. His work focuses on advancing soil health through applied research, extension initiatives, and farmer engagement. Key roles include leading the Soil Health and Climate Resiliency Field Day series and the NY Soil Health Specialist Training Series. He developed the Production Environment Soil Health Benchmarks, adopted by NY State to align with the Soil Health and Climate Resiliency Act. His research emphasizes soil carbon dynamics, sustainable soil management, and cover crop impacts. Education: Ph.D. in Soil Science (Cornell University, 2024), M.S. in Soil Science with a Biogeochemistry minor (Penn State, 2018), B.S. in Earth Systems with a Soil Science minor (Cornell, 2013). Research interests include soil health assessment protocols, carbon sequestration, cover crop root traits, and agroecosystem resilience. He collaborates with institutions like Cornell AgriTech and the Lake Erie Research & Extension Lab, contributing to case studies like the Betts Farm cover cropping initiative. His work bridges academic research with practical applications to enhance agricultural sustainability and climate resilience.

Julia Meyers-ManorView profile

Assistant Professor

• Animal Behavior
• Comparative Psychology
• Empathy in Animals
• +3 more

Julia Meyers-Manor is an Assistant Professor of Psychology, specializing in animal behavior, empathy in animals, and comparative psychology. Her research focuses on understanding cognitive and emotional processes in non-human species, particularly canines and other domestic animals. She has contributed to studies on dogs' empathetic responses, prosocial behavior, and the neurobiological mechanisms underlying animal behavior. Her work spans topics such as heart rate variability in aggressive dogs, pain perception in fish, and episodic-like memory in pigeons. Meyers-Manor frequently publishes in cross-disciplinary areas, blending psychology, neuroscience, and animal welfare science. She has been cited as an expert in media, including a PBS NOVA story on dog-wolf behavior comparisons. Meyers-Manor’s research highlights the cognitive complexity of animals and its implications for ethical treatment and comparative psychology education. While no specific grants or awards are listed, her contributions to understanding animal empathy and cognition are notable in her field.

Thomas StrobelView profile

Adjunct Professor

• Linguistics
• Syntax
• Dialectology
• +3 more

Thomas Strobel is an Adjunct Professor at Ca' Foscari University of Venice's Department of Linguistics and Comparative Cultural Studies. His academic career includes roles as a research assistant and fellow in multiple institutions, including Goethe University Frankfurt and the German Language Association. He holds a PhD in General Linguistics from Goethe University Frankfurt, focusing on pronominal partitivity in German dialects. Strobel's research focuses on syntax, dialectology, and morphosyntactic variation in Germanic languages. Key areas include partitive constructions, grammatical gaps, and the intersection of formal and functional approaches in linguistic variation. His recent work explores syntactic changes in German dialects and cross-linguistic partitive phenomena. He has published extensively in journals like Linguistische Berichte and Zeitschrift für Sprachwissenschaft , and edited volumes on topics like grammatical gaps and partitive constructions. His teaching spans German language courses at undergraduate and graduate levels, contributing to programs in linguistics and cultural studies. Strobel has been involved in DFG-funded projects such as the 'Syntax of Hessian Dialects' and has held postdoctoral roles at leading institutions. His work bridges theoretical syntax and empirical dialectology, emphasizing microvariation and areal linguistics.

• Digital Soil Mapping
• Soil Organic Carbon
• Machine Learning Applications
• +3 more

Laura Poggio serves as a Research Associate at ISRIC - World Soil Information, which operates under Wageningen University & Research. Her work focuses on advancing digital soil mapping methodologies and global soil information systems through interdisciplinary research combining remote sensing, machine learning, and soil science. Her primary research interests include: Digital Soil Mapping at multiple scales (local to global) Soil Organic Carbon monitoring using satellite imagery Machine learning applications for soil property prediction Global soil information systems development (notably SoilGrids) Integration of remote sensing data with soil databases Analysis of her 15 most recent publications reveals strong emphasis on continental-scale soil monitoring systems, particularly using Sentinel-2 satellite data for soil organic carbon assessment across Europe. Her work consistently addresses methodological challenges in handling spatial uncertainty, integrating multi-source data, and developing scalable models applicable from local to global contexts. Key technological approaches include machine learning algorithms (particularly Random Forest), survival probability models for censored data, and multi-sensor remote sensing integration. Her research output demonstrates significant collaboration across European institutions through projects like EJP SOIL and contributions to the Global Soil Partnership. While no specific awards are documented in the available materials, her work shows substantial scholarly impact through high citation counts and dataset adoption. Dr. Poggio actively contributes to soil science through conference presentations and supervised research work, particularly focusing on operational implementation of digital soil mapping for environmental monitoring and policy support.

April HiscoxView profile

Professor

• Meteorology
• Environmental Science
• Remote Sensing
• +3 more

April Hiscox is a Professor of Geography at the University of South Carolina, specializing in boundary layer meteorology. She holds a Ph.D. in Natural Resources Management and Engineering from the University of Connecticut. Her research focuses on land-air interactions, aerosol dispersion, and turbulence in stable boundary layers, utilizing lidar technology. She has held academic positions at the University of South Carolina since 2010 and Louisiana State University from 2008 to 2010. Her research interests include aerosol lidar, stable boundary layers, and microclimatology. She leads the SAVANT field campaign, studying interactions between mesoscale and microscale flows in stable boundary layers. Her work has been funded by grants from NSF, NOAA, USDA, and others, totaling over $1.2 million. Hiscox is a recipient of the Michael J. Mungo Award for teaching excellence and the Garnet Apple Award. She has advised numerous graduate students and contributes to academic service through editorial roles and committee work. Her lab webpage details ongoing projects and collaborations. Recent publications include studies on terrain slope effects on turbulence, stable boundary layer dynamics, and aerosol transport. She teaches courses such as Introduction to Weather and Climate and Microclimatology, integrating field campaigns and outreach into education.

Helen HuangView profile

Associate Professor

• Biomechanics
• Neuroengineering
• Locomotion
• +3 more

Helen Huang is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). She directs the Biomechanics, Rehabilitation, and Interdisciplinary Neuroscience (BRaIN) Laboratory, where her team—comprising students from biomedical, mechanical, and electrical engineering—investigates motor adaptation, gait neuromechanics, and rehabilitation technologies. Her lab focuses on brain dynamics during locomotion, robotic rehabilitation devices, and advanced EEG/EMG methodologies for young and older adults. Education: Huang holds a B.S. in Materials Science and Engineering from MIT and M.S./Ph.D. in Biomedical Engineering from the University of Michigan. Prior to academia, she worked as a materials engineer at Michelin and completed postdoctoral training at the University of Colorado and University of Michigan. Research Focus: Her interdisciplinary work bridges biomechanics, neuroengineering, and rehabilitation science. Key areas include: Motor adaptation and brain dynamics during gait perturbations Robotic interventions for balance and fall prevention in aging populations Novel electrophysiological methods (EEG/EMG) for movement analysis Neuromechanical factors in interlimb coordination and stability Publication Trends: Her recent articles (2018-2024) demonstrate evolving emphasis on EEG artifact mitigation, gait perturbation responses in aging, wearable sensor development, and equity in neurodiagnostics. Methodologically, they integrate biomechanical modeling, clinical psychophysiology, and rehabilitation technology validation. Awards & Honors: 2021 UCF Reach for the Stars & Research Incentive Award 2020 UCF Luminary Award and ASB President’s Award NSF CAREER Award for EEG artifact research Invitation to U.S. National Academy of Engineering symposium (2019) NIH grantsmanship fellowship (2017) Grants & Leadership: NIH/NIA R25 multi-PI for diversity in aging research (2023-2028) NIH R01 PI for gait perturbation studies (2017-2022) Leads BRaIN Lab with cross-disciplinary student teams Teaching: Courses include Advanced Biomechanics (BME 6215), Engineering Biomechanics (BME 3211), Bioinstrumentation (BME 6500), and special topics in biomedical engineering.

Veronica WebsterView profile

Associate Professor

• Flood Frequency Analysis
• Climate Change Impacts
• Uncertainty Analysis
• +4 more

Dr. Veronica L. Webster is an Associate Professor in the Department of Civil & Environmental Engineering at Michigan Technological University. She holds a BS from the University of Vermont and MS/PhD from Cornell University. Her research focuses on flood frequency analysis, climate change impacts, uncertainty analysis, and land use changes affecting flood risks. She received the NSF CAREER Award for her work integrating climate variability and human-induced hydrologic shifts into flood risk projections. Education: BS in Civil Engineering, University of Vermont MS/PhD in Civil Engineering, Cornell University Research Interests: Dr. Webster’s work examines extreme hydrologic events, climate adaptation strategies, and data-driven methodologies for flood risk assessment. Her contributions include advancing statistical techniques for regional flood analysis and evaluating human-environment interactions in watersheds. She actively engages in professional organizations like the ASCE Environmental Water Resources Institute. Grants & Awards: NSF CAREER Award (2011–2018) for flood risk projections Co-PI on international engineering programs in Tanzania Recipient of S-STEM graduate scholarships Academic Contributions: She teaches courses on stochastic hydrology, water resources engineering, and uncertainty analysis. Her funded research has supported over 30 students through scholarships and international fieldwork opportunities.

Anil NamdeoView profile

Professor

• Air Quality Management
• Public Health
• Environmental Engineering
• +3 more

Anil Namdeo is a Professor of Air Quality Management at Northumbria University, holding dual chartered statuses as a Chartered Environmentalist and Chartered Scientist. He is a Fellow of the Royal Meteorological Society and the Institute of Air Quality Management. His research bridges engineering, social sciences, and public health, focusing on air quality monitoring, modeling, and management, with an emphasis on health impacts and environmental justice. Professional roles include membership in the Civil Aviation Authority’s Environmental Sustainability Panel and Defra’s Air Quality Expert Group (AQEG). He contributes to the US Transportation Research Board’s Committee on Transportation and Air Quality (ADC20). His work spans global collaborations in Africa, Asia, Europe, and South America. Research interests include climate change adaptation, net-zero strategies, and the interplay of land use, transportation, and social deprivation with air quality. Recent studies examine EV charging infrastructure, indoor air quality interventions, and green-blue-grey infrastructure’s role in pollution abatement. Key grants: Insights North East (Co-Investigator, £989,422) Advising: Supervision of Abeer Ayidh G Alomiri’s PhD on afforestation in Saudi Arabia Awards: NICE Public Health Advisory Committee contributions to guideline NG70 His interdisciplinary approach addresses policy, technology, and societal dimensions of environmental sustainability.

Jiong TangView profile

Professor

• System Dynamics
• Control
• Sensing and Automation
• +7 more

Jiong Tang is a Pratt & Whitney Chair Professor in Design and Manufacturing at the University of Connecticut , where he also serves as Co-Director of the Management and Engineering for Manufacturing Program . He received his B.S. and M.S. in Applied Mechanics from Fudan University, China (1989 and 1992), and his Ph.D. in Mechanical Engineering from Pennsylvania State University (2001). Prior to joining UConn, he worked at the GE Research Center as a research engineer. Research Interests : System dynamics, control theory, smart materials, vibration suppression, uncertainty propagation, computational intelligence, and multi-physics system modeling. Current Projects : Digital twin development for aerospace materials, physics-informed machine learning in manufacturing, adaptive metasurface design, and optimization of cooperative robotics. Methodological Focus : Combines Bayesian deep learning , Gaussian process metamodeling , transformer-based architectures , and multi-fidelity data fusion for industrial applications. His work emphasizes smart sensing , electromechanical integration , and uncertainty-robust inverse analysis . Collaboration : Research funded by federal agencies and industrial partners , with particular emphasis on aerospace and manufacturing technologies. His recent publications highlight generative adversarial networks for defect detection , piezoelectric metamaterials , and physics-guided neural network architectures across mechanical, structural, and composite systems.

Steven NamikasView profile

Associate Professor

• Coastal Geomorphology
• Aeolian Sediment Transport
• Coastal Processes
• +3 more

Steven Namikas is an Associate Professor in the Department of Geography & Anthropology at Louisiana State University (LSU), part of the College of Humanities & Social Sciences. His research focuses on coastal and aeolian geomorphology, particularly sediment transport dynamics and short-term coastal processes. He collaborates with students to develop advanced measurement and modeling techniques for coastal systems, emphasizing surface moisture content and vegetation roles. He teaches courses including Coastal Geomorphology and Environmental Monitoring. Education: Ph.D., University of Southern California, 1999 M.S., Rutgers University, 1992 B.A., University of Windsor, 1988 His research explores how environmental factors like moisture and vegetation influence aeolian sediment transport. Recent publications emphasize beach dynamics, moisture modeling, and breakwater impacts. He is affiliated with LSU's Climate Extremes and Modeling Group and participates in geospatial research initiatives. No awards were explicitly mentioned in the provided text. He advises students on projects related to coastal processes and collaborates on grants focused on environmental monitoring and geomorphology.

Matthew HelmersView profile

Professor

• Agricultural Water Management
• Drainage Engineering
• Water Quality
• +9 more

Matthew Helmers is a Professor in the Department of Agricultural & Biosystems Engineering at Iowa State University and serves as Director of the Iowa Nutrient Research Center. His work focuses on agricultural water management, drainage engineering, and nutrient reduction strategies to address non-point source pollution impacts on Iowa's water resources.

Sheng LiView profile

Adjunct Assistant Professor

• Machine Learning
• Artificial Intelligence
• Computer Vision
• +4 more

Sheng Li is an Adjunct Assistant Professor in the School of Computing at the University of Georgia (UGA). He holds roles such as Graduate Program Faculty and Courtesy Faculty in the Institute of Bioinformatics. Previously, he served as an Assistant Professor at UGA from August 2018 to July 2022. His research focuses on Machine Learning, Computer Vision, Data Mining, Natural Language Processing, Causal Inference, and User Modeling. Li earned his Ph.D. in Computer Engineering from Northeastern University in 2017, following degrees from Nanjing Institute of Post and Telecommunications in China. His work bridges theoretical advancements and practical applications, including AI solutions for healthcare (e.g., medication adherence monitoring), computer vision for wildlife tracking (fish re-identification), and causal inference methodologies. He has received notable awards like the Fred C. Davison Early Career Scholar Award (2022) and the Aharon Katzir Young Investigator Award (2020). His research is funded by grants from agencies such as the US Department of Defense and NIH, supporting projects like Knowledge-Guided Scene Graph Generation and Reasoning for Visual Understanding. Li’s publications span top venues in AI and computer science, addressing challenges in domain adaptation, trustworthy AI, and multimodal learning. He has collaborated on interdisciplinary projects, including bioinformatics and agricultural NLP. His contributions emphasize both technical innovation and societal impact.