Find Academic Supervisors

• Environmental fluid dynamics
• Stratified turbulence
• Geophysical fluid dynamics
• +4 more

Colm-cille P. Caulfield is Professor at the Department of Applied Mathematics and Theoretical Physics, University of Cambridge, where he leads research on environmental and geophysical fluid dynamics. He is a core supervisor within the Cambridge NERC Doctoral Landscape Awards programme (CREATES), shaping the next generation of climate-focused researchers. His research centres on the fundamental physics of stratified turbulence and its pivotal role in global climate processes. Using state-of-the-art direct numerical simulations, laboratory experiments and modern data-driven techniques, he explores how buoyancy forces and shear instabilities control vertical mixing in the ocean and atmosphere. Key themes include: Instability and transition to turbulence in stably stratified flows Mixing efficiency and scalar transport across density interfaces Parameterisation of small-scale turbulence for large-scale climate models Integration of machine-learning approaches with classical fluid-mechanical theory Across more than eighty publications since 2020 his work has progressively fused rigorous mathematical analysis with high-resolution simulation and observational data, revealing new scaling laws, regime transitions, and transport mechanisms central to understanding heat, carbon and pollutant dispersion in the Earth system. Awards & Recognition No specific honours are listed in the provided material. Research Supervision & Funding As a CREATES supervisor he mentors doctoral candidates across Cambridge departments and partner institutes including the British Antarctic Survey. Projects span idealised DNS studies of stratified shear instabilities through to development of improved sub-grid-scale parameterisations for ocean and climate models. Laboratory & Collaborations He leverages the High Performance Computing Service at Cambridge alongside experimental facilities and field campaigns coordinated through national and international consortia.

Shuai ZHANGView profile

Research Fellow

• Swarm robots
• Robotics and autonomous systems
• Multi-robot/agent systems
• +10 more

Shuai ZHANG is a Research Fellow at Nanyang Technological University (NTU), Singapore, working under the supervision of Prof. Chen Lv. He previously served as a Postdoctoral Fellow at the University of Hong Kong (HKU) with Prof. Jia Pan and completed his Ph.D. and Master's in Marine Science and Technology at Northwestern Polytechnical University under Prof. Mingyong Liu and Prof. Xingguang Peng. He was also a Joint Ph.D. student at the Intelligent Computational Engineering Laboratory (ICE LAB) at the University of Strathclyde, UK, supervised by Dr. Edmondo Minisci. Ph.D., Marine Science and Technology, Northwestern Polytechnical University Master, Marine Science and Technology, Northwestern Polytechnical University His research focuses on Swarm robots/drones , Robotics and autonomous systems , Swarm intelligence , and Bio-inspired optimization , with applications in Multi-robot/agent systems , Differential privacy , and Distributed control . He investigates collective behaviors in robotic systems using Game theory and Evolutionary dynamics , while integrating Smooth particle hydrodynamics and Agent-based modeling . Recent publications demonstrate expertise in EEG emotion recognition , BCI-assisted neurorehabilitation , and non-invasive brain-computer interfaces , with a trend toward geometric modeling in neural networks and adaptive signal processing. His work bridges theoretical models (e.g., transformers, co-adaptive networks) with practical implementations in embedded systems and wearable technologies. Associate Editor, 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO 2023) He actively contributes to academic services as a reviewer for journals including IEEE Transactions on Robotics (T-RO), IEEE Robotics and Automation Letters (RA-L), and Complex & Intelligent Systems , reflecting his impact in robotics and computational neuroscience communities.

• Solar and Stellar Physics
• Star Formation
• Planet Formation
• +3 more

Professor Åke Nordlund (born January 7, 1947) is a leading figure in astrophysics at the Niels Bohr Institute, University of Copenhagen , where he has served as Professor since 2004. His expertise spans solar/stellar physics, star formation, planet formation, and plasma physics.

• Chemical Reaction Dynamics
• Molecular Beam Scattering
• Intermolecular Forces
• +6 more

Prof. Fernando Pirani is a faculty member coordinating collisional studies with molecular beams, focusing on intermolecular interactions , potential energy surfaces , and photoionization in chemical processes. His work spans experimental and computational approaches, with applications in chemical kinetics , combustion , astrophysical chemistry , and catalysis .

• Numerical Weather Prediction
• Data Assimilation
• Severe Storms
• +7 more

Brian Ancell , Associate Professor at Texas Tech University 's Department of Geosciences , focuses on numerical weather prediction, data assimilation, and high-impact weather event predictability. His work spans severe convection, winter precipitation, and wind power forecasting, with an emphasis on ensemble and adjoint sensitivity analysis. Education : B.S., Civil Engineering, University of Illinois, Urbana-Champaign (1998) Ph.D., Atmospheric Science, University of Washington, Seattle (2006) Research Interests include predictability of dryline-induced convective outbreaks, land-falling tropical cyclones, freezing precipitation events, and wind energy applications. He develops operational tools for the National Weather Service using ensemble sensitivity analysis and multi-scale data assimilation. Recent Publications highlight ensemble-based methods for wind ramp forecasting, chaos seeding in NWP perturbations, and non-local weather modification by wind farms. His 15 most recent articles reflect trends in atmospheric modeling, renewable energy integration, and sensitivity-based observation targeting. Scientific Awards : NSF CAREER award for quantifying inadvertent weather modification Featured in American Geophysical Union Texas State Research Highlights (2011) Advising and Grants : Advises 4 PhD students and 11 Master’s students Principal Investigator for $369,333 (NOAA), $721,883 (NSF), $200,000 (Shell WindEnergy), and multiple UCAR/DOE grants Labs and Teams : Maintains the TTU real-time deterministic and ensemble weather prediction systems on a 1000-core cluster. Collaborates with NCAR, National Weather Service, and Department of Energy on the Wind Forecast Improvement Project.

Thomas WeberView profile

Associate Professor

• Underwater Acoustics
• Acoustical Oceanography
• Acoustic Propagation
• +4 more

Thomas Weber is an Associate Professor in the Mechanical Engineering department at the University of New Hampshire, affiliated with the Center for Coastal and Ocean Mapping (CCOM). He earned his Ph.D. in Acoustics from The Pennsylvania State University (2006) and holds B.S./M.S. degrees in Ocean Engineering from the University of Rhode Island. Dr. Weber joined CCOM in 2006 and the Mechanical Engineering faculty in 2012. Research Focus: His work centers on underwater acoustics and acoustical oceanography, with emphasis on: Acoustic propagation/scattering in gas-bearing fluids High-resolution seafloor characterization Fisheries science applications of acoustics Broadband sonar system development Quantification of oceanic methane fluxes Publication Trends (2021-2024): Recent articles demonstrate Weber's focus on developing acoustic methodologies for monitoring marine gas seeps, modeling ocean stratification interfaces, and advancing sonar-based detection systems. His work integrates field experiments, theoretical modeling, and instrument development to study seafloor dynamics, bubble transport, and oceanographic phenomena. Affiliations & Labs: Dr. Weber conducts research through UNH's Center for Coastal and Ocean Mapping, which specializes in marine geophysics and acoustic remote sensing technologies. His projects include international collaborations like the Quantitative Ocean-Column Imaging (QUOI) voyage to New Zealand.

Luis SamaniegoView profile

Professor

• Hydrology
• Drought Monitoring
• Flood Forecasting
• +4 more

Prof. Dr. Luis Samaniego serves as Deputy Head of the Department of Computational Hydrosystems at the Helmholtz Centre for Environmental Research - UFZ in Leipzig, Germany. With the academic title 'Prof. Dr. rer. nat. habil.', he leads significant research initiatives focused on hydrological modeling and climate change impacts on water resources. Dr. Samaniego's research program centers on developing advanced parameterizations for the distributed mesoscale hydrologic model (mHM), with emphasis on capturing subgrid variability of land-vegetation-atmospheric interactions at high resolution from local to global scales. His work aims to improve predictions of streamflow, evapotranspiration, and soil moisture, particularly for extreme hydrological events under changing climatic conditions. He has been instrumental in developing the German Drought Monitor (https://www.ufz.de/duerremonitor), which provides high-resolution drought information at the one-kilometer scale for Germany. His publication record demonstrates consistent focus on drought and flood monitoring, forecasting, and modeling across multiple spatial scales. Recent work shows particular emphasis on high-resolution drought simulations, flood prediction systems, and climate change impacts on water resources across Europe and globally. His research often involves international collaborations, as evidenced by his participation in numerous multi-institutional publications, including the ESA-funded 4DHydro project that aims to improve Earth Observation data products for hydrological modeling. Dr. Samaniego actively contributes to impact-based early warning systems for riverine flooding, as demonstrated by his co-authorship of research published in Nature Communications that showcases 17-hour lead time for flood prediction. His work bridges scientific research with practical applications for disaster risk reduction, water resource management, and climate adaptation strategies.

Fabien FerrageView profile

Associate Professor

• NMR Spectroscopy
• Biomolecular Dynamics
• Protein Structure and Function
• +4 more

Fabien Ferrage is an Associate Professor at École normale supérieure (ENS) – PSL University and a Senior Scientist (DR1) at CNRS (French National Center for Scientific Research). He completed his undergraduate studies at École normale supérieure and Université Pierre et Marie Curie in Chemistry and Molecular Biophysics, earned his PhD in 2002, and held postdoctoral and academic positions at institutions including New York Structural Biology Center and Mount Sinai School of Medicine. His research focuses on developing advanced NMR methodologies to study biomolecular dynamics through techniques like high-resolution relaxometry and two-field NMR spectroscopy . Affiliated with PSL University (ENS) and CNRS (UMR 7203 Laboratory of Biomolecules) Teaching: Scientific Communication in English , Nuclear Magnetic Resonance , and Molecular Spectroscopies at ENS and PSL University His work bridges experimental and computational approaches to analyze protein side-chain dynamics and intrinsically disordered proteins, funded by projects like HIRES-MULTIDYN (EU FET-Open), FC-RELAX (EU MSCA-DN), and CPER PSL-RESOLUTION . Recent publications highlight collaborations with Bruker Biospin and Sorbonne University researchers, emphasizing interdisciplinary advancements in NMR relaxometry and molecular dynamics simulations . Key article trends: 2024: Multivalent interactions in DNA repair and compartment dynamics 2023: High-field MAS-DNP for amyloid structure 2022: Protein side-chain dynamics and cation atmospheres Scientific Awards: 2003: PhD Prize (French Chemical Societies) 2003: Lavoisier Fellowship 2003: Nine Choucroun Prize 2004: Raymond Andrew Award 2011: ERC Starting Grant He has contributed to NMR instrumentation (e.g., fast sample shuttles) and methodological frameworks for analyzing spin relaxation in arbitrary systems. His teaching spans NMR fundamentals to advanced topics like magnetic resonance and molecular process dynamics .

Ben SmithView profile

Professor

• Process-based vegetation and biogeochemical modelling
• Earth (climate) system modelling
• Climate change impacts on ecosystems
• +6 more

Professor Ben Smith is a leading ecologist and ecosystem modeller at Lund University, Sweden, with a part-time affiliation to the Department of Physical Geography and Ecosystem Science. As Director of Research at an unnamed institute, he specializes in process-based vegetation and biogeochemical modeling, Earth system modeling, and climate change impacts on ecosystems. His work examines biosphere-atmosphere feedbacks, carbon-nitrogen interactions, and forest dynamics under environmental stressors. Lund University, Sweden - Part-time affiliation Director of Research - Strategic research leadership His research bridges global climate dynamics and terrestrial ecosystem responses , with recent publications exploring: Phosphorus limitations in CO2-enriched forests Arctic vegetation-climate feedbacks Carbon cycle uncertainty under climate extremes Biosphere impacts of large-scale solar farms Post-drought forest resilience Scientific awards include Clarivate Highly Cited Researcher (2019-2021) , Fellow of the Royal Physiographic Society of Lund (2014) , and a Swedish Research Council Fellowship (2003-2007) . Current grants address: Biodiversity in natural product supply chains (2023) Climate technology innovation (2023) Forest drought survival (2022-2024) NSW Decarbonisation Innovation Hub (2022-2030) Phosphorus-CO2 forest interactions (2022-2025) Victoria bushfire climate impacts (2021-2023)

• Life Sciences
• Mass Spectrometry
• Chromatography
• +3 more

Dr. Pieter Kooijman is a Researcher and Teacher at the Biology Education Institute under the Faculty of Science at Utrecht University. His work focuses on analytical chemistry, biochemistry, and mass spectrometry, with a strong emphasis on instrument development and higher education research.

• Environmental Economics
• Spatial Econometrics
• Regional Economics
• +3 more

Henk Folmer is a part-time Professor at the Faculty of Spatial Sciences, University of Groningen , with concurrent part-time roles at Wageningen University and Tilburg University. He serves as Editor-in-Chief for multiple journals including The International Review of Environmental and Resource Economics and Letters in Spatial and Resource Sciences , and holds advisory positions at institutions like the Regional Research Institute West Virginia University . His research spans environmental economics, spatial econometrics, and game theory. Education: Not explicitly mentioned Research interests include: Environmental and resource economics Spatial econometrics and regional modeling Game-theoretic approaches to environmental problems Climate change policy and sustainable development Resource management in developing countries Methodological aspects of regional science Recent publications focus on spatiotemporal forecasting models, Bayesian risk prediction for pandemics, environmental policy impacts, and applications to air quality in Jakarta and epidemiology in Indonesia. His scientific awards include a Fulbright Scholar grant, Honorary Doctorate from Gothenburg University, and Honorary Professorship in China. Teaching includes courses in Microeconomic Theory, Environmental Economics, and Spatial Econometrics. He has supervised over 25 PhD theses on topics ranging from agricultural sustainability to climate policy and regional inequality. His professional service includes founding the European Association of Environmental and Resource Economics and advising the Dutch government on Wadden Sea policy.

• Climate Change
• Ice Sheet Modeling
• Paleoclimatology
• +3 more

Dr. C.J. (Tijn) Berends is a Researcher at Utrecht University's Faculty of Science , specializing within the Dynamics Meteorology department. His work focuses on ice-sheet modeling and Earth system interactions, particularly examining how ice sheets respond to climate change across geological timescales. PhD in Paleoglaciology/Paleoclimatology (2020, Utrecht University) MSc in Energy and Environmental Sciences (2015, University of Groningen) BSc in Applied Physics (2012, University of Groningen) Research interests span ice sheet-climate feedbacks , meltwater oceanic impact , solid Earth deformation , and model development for computational efficiency. Articles reveal trends in Pleistocene climate transitions , Antarctic ice stability , Miocene CO2 responses , and glacial lake dynamics . Key collaborations include the ISMIP6 model ensemble and GrSMBMIP projects. He contributes to improving momentum balance boundary conditions and subglacial parameterizations , with publications in Climate of the Past , Cryosphere , and Geoscientific Model Development . Current work emphasizes sustainable digital infrastructure for climate models, ensuring multi-programmer collaboration and long-term code maintainability while simulating ice sheet evolution over hundred-millennial timescales .

Jayne BirkbyView profile

Professor

• Exoplanets
• Exoplanet Atmospheres
• High resolution spectroscopy
• +6 more

Professor Jayne Birkby is a distinguished Professor of Exoplanetary Science at the University of Oxford and a Fellow of Brasenose College. She leads research in exoplanet atmospheres using the world's largest telescopes and highest resolution instruments, with a focus on understanding the composition and dynamics of exoplanetary systems. Her work bridges astronomy, chemistry, geology, and biology in the pursuit of answering fundamental questions about planetary formation and potential habitability. Education: PhD in Astrophysics from the University of Cambridge Professor Birkby specializes in observational techniques for characterizing exoplanet atmospheres, particularly through high-resolution spectroscopy. Her research interests span exoplanets , exoplanet atmospheres , high-resolution spectroscopy , Extremely Large Telescopes , low-mass stars , open clusters , eclipsing binaries , and young stars . She has pioneered methods for detecting molecular signatures in exoplanet atmospheres using ground-based observations, with notable successes including the detection of water in the atmosphere of the hot Jupiter HD 189733 b. Her work on M-dwarf stars aims to address discrepancies between stellar evolution models and observational data, which has significant implications for understanding exoplanetary systems around the most common stars in our galaxy. Professor Birkby's research portfolio demonstrates a consistent focus on advancing observational techniques for exoplanet characterization, with particular emphasis on atmospheric composition and dynamics. Her work increasingly integrates multi-wavelength observations and leverages the capabilities of next-generation telescopes, positioning her at the forefront of preparing for future discoveries with Extremely Large Telescopes. Scientific Awards: ERC Starting Grant Laureate (PI of the "exoZoo" project) 2021 Philip Leverhulme Prize in Physics Finalist in the 2024 Blavatnik Awards for Young Scientists in the UK Professor Birkby leads an active research group at Oxford comprising multiple PhD students and postdoctoral researchers. She is principal investigator of the ERC-funded "exoZoo" project, which focuses on high-definition and time-resolved studies of exoplanet atmospheres. Her group develops innovative observational techniques to study the extreme diversity of exoplanets, with particular emphasis on connecting exoplanet studies with chemistry, geology, and biology in the pursuit of understanding planetary habitability. Professor Birkby's research group, part of the Astrophysics sub-department at Oxford, utilizes world-class observational facilities and collaborates with international teams to advance our understanding of exoplanetary systems. Her work is closely tied to the development of instrumentation for future Extremely Large Telescopes, ensuring her research remains at the cutting edge of exoplanet discovery and characterization.

• Stellar and planetary physics
• Brown dwarf evolution
• Exoplanet atmospheres
• +5 more

Professor Isabelle Baraffe is a leading astrophysicist at the University of Exeter, specializing in stellar and planetary physics, with particular focus on low-mass stars, brown dwarfs, and exoplanet atmospheres. She has held a Chair in Astrophysics since 2010 and previously served as Professor at CRAL (France) and Associate Professor at École Normale Supérieure de Lyon. PhD in Astrophysics (University of Paris VII and Göttingen) 2010: Joined Exeter's Astrophysics Group 2010-2020: Led the Astrophysics Group Her research develops self-consistent evolutionary models for substellar objects, integrating atmosphere boundary conditions to study cooling and contraction processes. She pioneered non-equilibrium chemistry in exoplanet atmospheres and accretion-driven stellar evolution models. Recent publications focus on ATMO 2020 models (Teff=200-3000K, log(g)=2.5-5.5), BHAC15 evolutionary tracks, and GAIA photometric calibrations . Her work addresses cloud formation , magnetic accretion , and disk-star interaction mechanisms. Scientific Recognition : 2024: Fred Hoyle Medal and Prize 2023: Lodewijk Woltjer Lecture 2020: Viktor Ambartsumian International Science Prize 2019: Exeter Research Excellence Award Grants include ERC Advanced Grants (2012, 2018) and STFC grants (2012, 2018, 2024). She leads the ATMO collaboration, providing open-access evolutionary models .

Sanaa HobeichiView profile

Research Fellow

• Machine Learning
• Climate Science
• Weather Forecasting
• +5 more

Dr. Sanaa Hobeichi is a Senior Research Fellow at the University of New South Wales (UNSW Sydney), affiliated with the ARC Centre of Excellence for the 21st Century Weather. She serves as co-chair of the ACCESS-NRI Working Group on Machine Learning in Weather and Climate, driving national initiatives to integrate AI into Australia's weather and climate modeling infrastructure. Her research program bridges Machine Learning, Climate Science, and Environmental Engineering to address critical challenges in climate downscaling and drought analysis. Key focus areas include developing high-resolution precipitation isotope models, hierarchical diffusion frameworks for climate downscaling, and machine learning systems for urban wind flow prediction. Her multidisciplinary expertise spans Applied Mathematics, Computer Science, and Climate Science, enabling innovative solutions for Australian-specific climate challenges like drought monitoring and energy demand forecasting. Analysis of her recent publications reveals a dominant trend in applying cutting-edge machine learning techniques—including generative adversarial networks, diffusion models, and transformer architectures—to climate downscaling and drought modeling. Her work consistently targets Australian environmental systems, with strong emphasis on spatial statistics, temporal variability correction, and practical applications for weather prediction and water resource management. As co-chair of the ACCESS-NRI Working Group, Dr. Hobeichi leads collaborative efforts to advance machine learning integration in national weather systems. Her work at the ARC Centre of Excellence fosters cross-disciplinary partnerships to enhance climate prediction capabilities, directly supporting Australia's resilience to extreme weather events through data-driven methodologies.