Find Academic Supervisors

• Mesosphere
• Radar Tracking
• Lower Thermosphere
• +5 more

Phoebe Noble is a Research Associate in the Department of Electronic & Electrical Engineering at the University of Bath, affiliated with the Centre for Climate Adaptation & Environment Research (CAER). Her work focuses on upper atmospheric dynamics using meteor radar and satellite observations, particularly in Antarctic regions. She completed her PhD in Atmospheric Science at the University of Bath in 2024 with the thesis "Dynamics of the Polar Atmosphere: From the Surface to the Edge of Space", supervised by C. Wright, N. Hindley, T. Moffat-Griffin, N. Mitchell, and I. Astin. Noble's research centers on mesospheric gravity waves, Antarctic wind variability, and geomagnetic influences on the upper atmosphere. She utilizes Rothera Research Station radar data and satellite observations to investigate wave dynamics, tidal patterns, and climate oscillations in polar regions, contributing to climate science and space weather prediction. Her recent publications (2022-2024) reveal strong expertise in Southern Hemisphere atmospheric phenomena, with emphasis on gravity wave propagation, mesosphere-lower thermosphere coupling, and interannual variability. These studies frequently involve international collaborations and numerical modeling frameworks like WACCM-X. As part of CAER, Noble contributes to climate adaptation research through atmospheric data analysis. While no current advising roles or grant leadership are documented, her collaborative work with institutions worldwide advances understanding of polar atmosphere dynamics and its climate implications.

Wenjuan HuangView profile

Assistant Professor

• Soil Biogeochemistry
• Climate Change Mitigation
• Carbon Cycling
• +3 more

Wenjuan Huang is an Assistant Professor in the Department of Ecology, Evolution, and Organismal Biology at Iowa State University, specializing in soil biogeochemistry and climate change. Her research focuses on soil carbon and nutrient cycling across natural and managed ecosystems, integrating field measurements, lab incubations, and mechanistic models. She aims to improve soil health and mitigate climate change through understanding plant-microbial-mineral interactions. Educational Background: PhD in Ecosystem Ecology from Chinese Academy of Sciences (China) and Griffith University (Australia), 2013. Bachelor of Science in Ecology from China Agricultural University, 2007. Research Focus: Huang’s lab investigates soil carbon and nutrient dynamics, particularly how biogeochemical factors and environmental conditions influence soil processes. Key areas include lignin decomposition, microbial interactions, and the effects of oxygen fluctuation on methane dynamics. Her work emphasizes climate-smart soil management and the development of predictive models for agricultural and natural ecosystems. Lab and Collaborations: The Soil Biogeochemistry Lab, led by Huang, seeks students and researchers to explore soil processes through interdisciplinary approaches. The lab collaborates on projects involving field experiments, lab incubations, and computational modeling to address global environmental challenges.

Larry J. WeberView profile

Professor

• Hydraulic Engineering
• Flood Modeling
• River Restoration
• +5 more

Larry J. Weber is the Edwin B. Green Chair in Hydraulics and Professor in Civil and Environmental Engineering at the University of Iowa's College of Engineering. He serves as Director of IIHR—Hydroscience and Engineering, Center for Hydrologic Development, and Interim Director of the Iowa Flood Center. His research focuses on hydraulic engineering, flood modeling, river restoration, and water quality management, integrating computational fluid dynamics and ecological data to address challenges in fish passage facilities, sediment transport, and nutrient dynamics in agricultural watersheds. Education: PhD (1993), MS (1990), and BS (1989) in Civil and Environmental Engineering from the University of Iowa. Research interests include hydrodynamic modeling of large river systems, flood mitigation strategies, and the impact of agricultural practices on water quality. He leads projects like the Iowa Watersheds Project and developed the Iowa Flood Information System (IFIS), a real-time flood forecasting platform. His work emphasizes interdisciplinary approaches to environmental resilience and policy-driven solutions for water resource sustainability. Key contributions include advancing hydraulic design of fish passage facilities, quantifying phosphorus budgets in river systems, and evaluating the efficacy of distributed flood mitigation structures. He collaborates with federal and state agencies to translate scientific insights into actionable flood management policies.

Ajaya RavindranView profile

Visiting Professor

• Climate Modeling
• Monsoon Variability
• Climate Extremes
• +9 more

Ajaya Ravindran is a Visiting Professor in Meteorology at the Department of Geography, Ohio University, within the College of Arts and Sciences, USA, a position he has held since August 2024. He has previously served in significant academic and research roles including Associate Professor at Abu Dhabi Polytechnic, Visiting Scientist at New York University Abu Dhabi, and Senior Research Scientist at the Centre for Prototype Climate Modelling. His career spans institutions in Canada, Japan, India, and the United States, reflecting a globally engaged research profile. His educational background includes: PhD in Atmospheric & Oceanic Sciences, Indian Institute of Science, Bangalore (2001) M.Tech in Atmospheric Sciences, Cochin University of Science and Technology (1995) M.Sc/PGDCA in Applied Physics/Computer Applications, Gandhigram Rural University (1993) B.Sc in Physics, University College, University of Kerala (1990) Ajaya Ravindran's research centers on climate modeling and monsoon dynamics, with a focus on South Asia and the Middle East. His work investigates climate extremes, monsoon variability, the simulation of Madden-Julian Oscillations (MJO) in GCMs, CMIP model evaluation, and regional climate modeling. He explores how large-scale climate patterns like ENSO, IOD, and Atlantic Zonal Mode influence monsoon behavior and extreme weather events. His studies often combine observational analysis with high-resolution and coarse-resolution climate model simulations. The 15 most recent publications demonstrate a consistent focus on monsoon systems, tropical dynamics, and climate change impacts. They span disciplines including atmospheric science, climate modeling, oceanography, and hydrometeorology. Key themes include monsoon rainfall mechanisms, cyclone dynamics, diurnal cycles in the Maritime Continent, urban climate effects, and fog formation in arid regions. His work frequently involves collaboration with international teams and utilizes models such as WRF and GCMs. No scientific awards are explicitly mentioned in the provided text. Dr. Ravindran has taught a wide range of meteorology courses including Introduction to Meteorology, Tropical Meteorology, Atmospheric Dynamics, Numerical Weather Prediction, and Planetary Boundary Layer Meteorology. While no formal advisees are listed, his extensive publication record with junior researchers suggests active mentorship and team leadership. He has been involved in climate modeling projects funded by institutions such as New York University Abu Dhabi and the Canadian Centre for Climate Modelling. He has contributed to major research initiatives including the Centre for Prototype Climate Modelling and the NEPTUNE Canada network, indicating participation in large-scale observational and modeling efforts. His work on climate data management and simulation suggests involvement in both theoretical and applied aspects of meteorology.

Sahara AliView profile

Assistant Professor

• Artificial Intelligence
• Spatiotemporal Data Mining
• Causal Inference
• +3 more

Sahara Ali is an Assistant Professor at the University of North Texas (UNT), focusing on interdisciplinary research at the intersection of artificial intelligence and Earth sciences. Her work emphasizes causal inference, spatiotemporal data mining, and big data analytics applied to environmental challenges like Arctic sea ice prediction and climate modeling. Education: Ph.D., University of Maryland M.S., University of Maryland B.Sc., University of Engineering & Technology Lahore Research Interests: Her research bridges machine learning and environmental science, with a focus on developing causal inference frameworks for spatiotemporal data. Key areas include: Climate modeling and Arctic amplification Deep learning for sea ice forecasting Spatiotemporal causal analysis in Earth systems Publications Trends: Her recent articles (2022–2024) reflect a strong emphasis on causal inference applications in climate science. Notable themes include: Developing causality-driven models for Arctic sea ice dynamics Integrating Fourier transforms and residual learning for environmental prediction Comparative analysis of climate prediction models Grants & Advising: No specific grants or advisees are listed in the provided text. Her work likely involves collaborative projects with climate research groups and machine learning labs. Labs/Teams: Details about specific affiliated research groups or labs are not explicitly mentioned.

Roland YoungView profile

Senior Lecturer

• Planetary Atmospheres
• Atmospheric Dynamics
• Climate Modelling
• +9 more

Roland Young is a Senior Lecturer in the Department of Physics at the University of Aberdeen, within the School of Natural and Computing Sciences. He previously served as Assistant Professor (later Associate Professor) at United Arab Emirates University (2019–2023), a CNRS Research Scientist at the Laboratoire de Météorologie Dynamique in Paris (2017–2019), and a Postdoctoral Research Assistant at the University of Oxford (2009–2017). MA (Cantab), Natural Sciences (Astrophysics), University of Cambridge, 2005 DPhil, Atmospheric, Oceanic and Planetary Physics, University of Oxford, 2009 His research centers on planetary atmospheric dynamics, with a focus on Mars and Jupiter. He employs climate modeling, data assimilation techniques, and geophysical fluid dynamics—including rotating tank laboratory experiments—to study atmospheric circulation, dust storms, jet structures, and chaotic weather systems. His work is deeply connected with space missions such as the Emirates Mars Mission and ExoMars. The recent publications show a strong trend toward Martian atmospheric dynamics using data from the Emirates Mars Mission, particularly in dust storm analysis, thermal tides, and data assimilation. Earlier works emphasize fundamental fluid dynamics using rotating annulus experiments and modeling of Jupiter's atmosphere. The research spans from laboratory-scale analogs to full planetary climate systems, unified by a focus on energy cycles, predictability, and instability mechanisms. He is recognized with several professional fellowships: Fellow of the Royal Astronomical Society (FRAS) Fellow of the Royal Meteorological Society (FRMetS) Member of the Institute of Physics (MInstP) Roland Young actively supervises MSc and PhD students and has led research groups, including the Planetary Science group at the National Space Science and Technology Center in the UAE. He collaborates internationally with institutions in the UK, France, USA, and the UAE. His work integrates high-performance computing, observational data, and theoretical modeling to advance understanding of planetary climates. He leads or has led research on: Mars data assimilation using the LMD Mars GCM and LETKF Modeling of Jupiter’s zonal jets and cloud dynamics Rotating annulus experiments as analogs for planetary atmospheres Predictability and chaos in geophysical flows

• Physical Geography
• Climatology
• Climate Change
• +7 more

Maria Jose Estrela Navarro is a Full Professor in the Department of Geography at the Faculty of Geography and History, University of Valencia, where she conducts research in physical geography, climatology, and hydrological systems. She is a key member of the CLIMAMET research group, focusing on climate change, weather risks, and hydrological inputs in the Mediterranean region. Her research interests include: Climate change and its impacts on bioclimatic zones Fog-water collection as a sustainable water resource Mesoscale meteorological modeling (WRF, RAMS) Drought and precipitation trends in Mediterranean basins Fire weather and forest fire risk assessment Remote sensing and satellite data applications in climatology Her recent publications (2023–2025) reveal a strong focus on long-term climate trends in Spain and the Balearic Islands, particularly in precipitation, drought, fog-water dynamics, and wildfire risk. These studies employ advanced modeling, statistical downscaling, and satellite data to assess climate variability and change across the Iberian Peninsula. The work consistently emphasizes the Mediterranean context, leveraging high-resolution data to understand regional climate behavior and its societal implications. Scientific awards and honors are not mentioned in the available text. She advises students and leads research projects, though specific names of advisees are not listed. She has been involved in operational forecasting systems and climate modeling projects, contributing to real-time meteorological prediction in the Valencia region. Her work bridges academic research and practical applications in water resource management and climate adaptation. She leads and conducts research within the CLIMAMET research group, which investigates climate change impacts, weather extremes, and hydrological processes in the western Mediterranean, particularly in the Valencian Community and surrounding river basins (Júcar and Segura).

• Meteorology
• Climate Science
• Weather Prediction
• +2 more

Felipe Marques De Andrade is a researcher contributing to the fields of meteorology and climate science, with a focus on weather and climate prediction systems. His work appears in high-impact journals such as the Bulletin of the American Meteorological Society , indicating active participation in international research collaborations. His research interests include: Weather Prediction Subseasonal to Decadal Forecasting Climate Modeling Operational Meteorology International Capacity Building in Atmospheric Science The two most recent publications highlight his involvement in large-scale scientific initiatives aimed at improving forecasting systems, particularly in underrepresented regions like Africa. These works reflect a strong emphasis on collaborative, interdisciplinary, and applied climate research. Dr. Marques De Andrade has contributed to major syntheses in meteorological science, working alongside leading institutions and experts globally. While specific details about his affiliation, academic rank, or students are not available in the provided text, his publication record confirms his role as an active scientific contributor in atmospheric and climate sciences.

• Ecology
• Environmental Science
• Arctic Research
• +3 more

Pekka Niittynen serves as a Postdoctoral Researcher at the Department of Biological and Environmental Science within the Faculty of Mathematics and Science at the University of Jyväskylä. His work focuses on ecological dynamics in extreme environments, particularly Arctic and high-altitude ecosystems. His research expertise spans Ecology, Environmental Science, Arctic Research, Plant-Fungal Interactions, Microclimate Modeling, and Biogeosciences. He investigates how abiotic factors shape species associations, nutrient cycling, and ecosystem responses to climate change, with emphasis on plant-soil-microbe interactions and microclimate drivers in polar regions. Analysis of his 2023-2025 publications reveals consistent focus on Arctic/alpine systems, demonstrating expertise in plant-fungal symbiosis (e.g., altitude-driven association strength), greenhouse gas fluxes in tundra, microclimate variability in boreal forests, and bioclimatic mapping. Key methodological contributions include experimental validation of fungal-mediated plant growth at high elevations and practical frameworks for terrestrial microclimate research. He actively participates in the Predictive Community Ecology Group, a collaborative research team led by Nerea Abrego and Otso Ovaskainen specializing in advanced statistical modeling of ecological communities.

• Carbon Dioxide Emissions
• Fossil Fuel Emissions
• Urban Emissions Modeling
• +7 more

Kevin Gurney is a Professor in the School of Informatics, Computing, and Cyber Systems at Northern Arizona University. His work focuses on high-resolution carbon dioxide emissions modeling, urban emissions, and climate informatics. He is widely recognized for leading the Hestia project and contributing to global emission datasets. University: Northern Arizona University School: School of Informatics, Computing, and Cyber Systems Academic Rank: Professor His research interests span carbon dioxide emissions, fossil fuel and biofuel emissions, urban emissions modeling, high-resolution emission mapping, climate informatics, and environmental policy. His work integrates atmospheric science, data science, and urban planning to develop detailed carbon inventories and support climate mitigation strategies. He employs advanced techniques such as AI, machine learning, and geospatial analysis to model emissions at fine spatial and temporal scales. Recent publications (2024–2025) highlight his focus on AI-driven emission assessments, urban form impacts on CO₂, Scope 2 electricity emissions, and global fossil and biofuel inventories. His work demonstrates a strong trend toward integrating artificial intelligence with environmental monitoring and policy-relevant emission accounting at granular levels. Kevin Gurney has received extensive recognition, with over 11,969 citations and an h-index of 53. His research outputs, including 158 scholarly works and 67 datasets, are widely used and cited. His work has been featured in news outlets and social media, reflecting its societal relevance. He actively advises students and researchers in environmental informatics and carbon science, though specific names are not listed. His projects often involve interdisciplinary collaboration and external funding, supporting large-scale data generation and modeling efforts. He leads research teams focused on urban carbon systems and emission inventories. Kevin Gurney is associated with major research initiatives such as the Hestia project and CoCO2-MOSAIC, which produce high-resolution emission datasets. His lab and research teams work on integrating observational data, modeling, and policy analysis to advance urban and global carbon science.

Lara WallbergView profile

Researcher

• Climate Science
• Meteorology
• Sub-Decadal Climate Variability
• +7 more

Lara Wallberg is a Postdoctoral Researcher at the Max Planck Institute for Meteorology in Hamburg, Germany, since 2024, and a recent PhD graduate from the same institution (2020-2023). She works under the supervision of Wolfgang Müller in the Earth System Modelling and Predictions group within the Department of Climate Variability. Education: M.Sc. in Meteorology (2017-2019), University of Hamburg B.Sc. in Meteorology (2013-2017), Leibniz-University Hannover Her research focuses on sub-decadal climate variability, particularly the mechanisms driving European summer heat extremes and their connections to North Atlantic oceanic heat accumulation. She investigates how these mechanisms enhance the predictability of extreme temperatures, with applications in agricultural decision-making. Her work integrates climate modeling, observational data, and statistical analysis. Recent publications highlight her contributions to understanding heat extremes, polar jet stream dynamics, and climate predictability. Her work has been published in journals like Earth System Dynamics and Geophysical Research Letters , with additional studies in preparation and review. Grants: European Union’s Horizon Europe project ASPECT (current Postdoc funding) Labs & Teams: Earth System Modelling and Predictions working group, Department of Climate Variability, Max Planck Institute for Meteorology IMPRS-ESM (International Max Planck Research School for Earth System Modelling)

• Climate Change
• Crop Modeling
• Agricultural Science
• +3 more

Iwan Supit is a Postdoctoral Research Fellow at Wageningen University & Research within the Earth Systems and Global Change group. His research focuses on quantifying climate change impacts on agricultural systems through advanced crop modeling, with emphasis on crop yield prediction under changing hydroclimate conditions. He actively collaborates with international institutions on agricultural adaptation projects across Africa, Asia, and South America. Supit's research spans Climate Change, Crop Modeling, and Agricultural Science, specifically investigating drought stress mechanisms, carbon dioxide effects on crop physiology, and climate model bias corrections. His work integrates field experiments with multi-model simulations to assess vulnerabilities in staple crops like wheat and potatoes, particularly in East Africa and Mediterranean regions where climate variability threatens food security. Recent publications (2024-2025) reveal three dominant research trajectories: development of hydroclimate decision-support tools (e.g., DROP app for Ghanaian farmers), validation of crop models under extreme stress conditions, and methodological improvements in climate-crop model coupling. These studies consistently emphasize practical agricultural applications and cross-institutional data sharing through initiatives like AgMIP-Wheat. As academic supervisor, Supit co-promotes four PhD candidates working on critical climate adaptation challenges: early warning systems for Argentine agriculture (van Meer, H.), seasonal forecasting in Thailand (Wanthanaporn, U.), salt intrusion management in Bangladesh (Bhuyan, I.), and sustainable water-agriculture modeling (Droppers, B.). He previously served as Principal Investigator for the GLORIOUS climate service project (2017-2019). Supit operates within the AgMIP-Wheat consortium and WIMEK research institute, contributing to major datasets for wheat response modeling. His collaborative network includes INRAE, Columbia University, and Wageningen-based teams focused on translating climate science into agricultural decision frameworks for vulnerable regions.

Jiachen LuView profile

Researcher

• Land Surface Modelling
• Computational Fluid Dynamics
• Urban Climatology
• +3 more

Dr. Jiachen Lu is a Research Associate at the Centre of Excellence for Climate Extremes (CLEX) , UNSW Sydney. He holds a Ph.D. in Built Environment (2024), an M.Sc. in Mechanical Engineering (2019), and a B.Eng. in Petroleum Engineering (2017). Ph.D. in Built Environment, UNSW Sydney M.Sc. in Mechanical Engineering, UC San Diego B.Eng. in Petroleum Engineering, Southwest Petroleum University His research focuses on urban climatology , land surface modelling , and computational fluid dynamics , particularly in improving urban canopy parameterization in climate models like CABLE. He develops one-dimensional urban flow models with advanced turbulent transport schemes (MLUCM v3.0) and studies how building height variability affects airflow. Recent publications include machine learning applications for wind flow prediction from urban morphology (Environmental Research Letters, 2025) and systematic analyses of urban canopy dynamics using EDMF schemes (Geoscientific Model Development, 2024). His work intersects atmospheric science , CFD simulations , and urban climate adaptation . National 1st prize , Contemporary Undergraduate Mathematical Contest in Modeling (2017) Honour graduate , Sichuan Province (2017) 1st place (blind review) , China Petroleum Engineering Design Competition (2017)

• Urban Climate
• Air Quality
• Thermal Comfort
• +3 more

Professor Melissa Hart serves as the Associate Director - Training and Leadership at the ARC Centre of Excellence for 21st Century Weather , affiliated with the Institute for Marine and Antarctic Studies at the University of Tasmania. She specializes in urban climate research, thermal comfort, and air quality, with a focus on cross-institutional collaboration and climate education. Email: melissa.hart@utas.edu.au Co-Chair, World Climate Research Programme Training Academy Her research explores: Urban heat island effects and microclimate dynamics Integration of citizen science in climate monitoring Thermal comfort modeling and climate-sensitive design Impacts of extreme weather on educational environments Recent publications investigate: Machine learning applications for outdoor thermal sensation Building height variability in urban canopy flow Land surface temperature dynamics Smartwatch-based ambient temperature measurement Scientific recognition : UNSW Vice-Chancellors Award for Higher Degree Research Leadership She leads national researcher development programs and contributes to global climate discourse through modeling advancements and interdisciplinary studies.

• Wave Energy Conversion
• Renewable Energy Systems
• Ocean Engineering
• +10 more

Andrej Savin is a Senior Lecturer in the Department of Electrical Engineering at Uppsala University, Sweden, where he conducts research in marine renewable energy systems, particularly wave energy converters (WECs). He is based at the Ångström Laboratory and is actively involved in the Lysekil wave energy research project. Position: Senior Lecturer Institution: Uppsala University Department: Department of Electrical Engineering Email: andrej.savin@angstrom.uu.se His research focuses on the mechanical and electrical design, structural integrity, and performance optimization of point-absorbing wave energy converters. Key areas include mooring dynamics, power take-off systems (e.g., Low-RPM Torque Converter), ice interaction, and numerical modeling of WEC behavior under extreme and irregular sea conditions. He also explores the integration of machine learning for predicting WEC motion in hybrid offshore energy systems. The recent publications highlight a strong trend in experimental validation, structural analysis, and system-level optimization of wave energy technologies. His work spans hydrodynamics, mechanical design, thermal management, and data analysis, contributing to the advancement of reliable and efficient marine energy solutions. Andrej Savin has not received any explicitly mentioned scientific awards in the provided text. He has supervised or collaborated with multiple researchers and students, though no formal advisees are listed. His work is supported through institutional research funding at Uppsala University, particularly within the wave energy research group. He contributes to both experimental and theoretical aspects of offshore energy systems, with a focus on real-world deployment challenges in the Baltic Sea. He is part of the wave energy research team at Uppsala University, centered at the Lysekil research site, which conducts full-scale testing of wave energy converters. This team investigates power generation, survivability, sensor integration, and environmental interactions of marine energy devices.