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Sarah A.M. LoosView profile

Research Fellow

• Stochastic Thermodynamics
• Non-Markovian Processes
• Nonreciprocal Systems
• +5 more

Dr. Sarah A.M. Loos is a Research Fellow at the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge and a Research Fellow at Corpus Christi College, Cambridge. She holds a PhD in Physics (summa cum laude) from TU Berlin (2020), with postdoctoral research at ICTP (Trieste) and Leipzig University. Her research focuses on stochastic thermodynamics, non-Markovian processes, and nonreciprocal systems. She has received major awards including the Royal Society of Chemistry Early Career Award (2024) and Marie Skłodowska Curie Fellowship (2023). Education: PhD in Physics (2020, TU Berlin), Master's in Physics (2015, TU Berlin), Bachelor's in Physics (2012, TU Berlin). Research interests include entropy production in nonreciprocal systems, active matter, and control theory. She has organized workshops on adaptive dynamical systems and contributed to KITP programs on active solids. Publications span topics like optimal control at microscale, PT symmetry in non-Hermitian systems, and nonreciprocal heat transfer. Her work bridges statistical physics and nonlinear dynamics, with applications in biological and nanoscale systems. Awards: 8 major prizes including DPG and RSC recognitions Grants: MSCA Fellowship (€200k), DFG Walter-Benjamin Fellowship Labs/Teams: Active Matter Group at DAMTP, collaborations with Édgar Roldán and Klaus Kroy

Sarah LoosView profile

Research Fellow

• Stochastic Thermodynamics
• Non-Markovian Processes
• Active Matter
• +4 more

Dr. Sarah Loos is an independent postdoctoral researcher at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, and a Research Fellow at Corpus Christi College. Her work focuses on theoretical descriptions of nonequilibrium systems, integrating statistical physics, thermodynamics, control theory, and nonlinear dynamics. PhD in Statistical Physics (TU Berlin, 2020) Marie-Curie and DFG Walter-Benjamin Fellow Key research areas: stochastic thermodynamics, non-Markovian processes, active matter, nonreciprocal systems Her research explores entropy production, time-reversal asymmetry, and collective dynamics in active matter. She has received multiple awards, including the Royal Society of Chemistry's Early Career Award (2024) and Springer Thesis Award (2020). Recent publications emphasize nonreciprocal interactions, optimal control protocols, and memory effects in complex systems. Scientific Awards: Early Career Award (2024) Marie-Skłodowska-Curie Fellowship (2022) DFG Walter-Benjamin Fellowship (2022) SKM Dissertation Prize (2021) Carl Ramsauer Preis (2020) EPL Poster Prize (2019) Her work has been supported by the Joachim-Herz Stiftung (2022) and Studienstiftung des Deutschen Volkes (2013-2015). Collaborations span institutions like ICTP Trieste, Leipzig University, and Duke University.

Rupert KleinView profile

Professor

• Geophysical Fluid Dynamics
• Atmospheric Dynamics
• Numerical Methods
• +3 more

Rupert Klein is a Professor at Freie Universität Berlin in the Department of Mathematics and Computer Science , specializing in Geophysical Fluid Dynamics . His research spans atmospheric dynamics, numerical methods, and gas dynamics of combustion. Research Interests : Geophysical Fluid Dynamics and Atmospheric Modeling Multiscale Asymptotic Analysis Wave Propagation and Turbulence Combustion and Pressure Gain Combustion Climate Dynamics and Data Assimilation Scientific Awards : DRS Award for Excellent Supervision (2014) ECMWF Fellowship (renewed 2017) His recent work includes multiscale models for atmospheric flows, vortex dynamics, and combustion processes. Key collaborations involve DFG SPP 1276, CRC 1029 (TurbIn), and CRC 1114 (SCCS) projects. He contributes to numerical methods for low-Mach-number flows and geophysical simulations.

Monica Martinez WilhelmusView profile

Assistant Professor

• Sea Ice Dynamics
• Remote Sensing Observations
• Fluid Transport
• +3 more

Dr. Monica Martinez Wilhelmus is the Thomas J. and Alice M. Tisch Assistant Professor of Engineering at Brown University's School of Engineering. She holds affiliations with NASA Jet Propulsion Laboratory (JPL) and is an adjunct professor at the University of California Riverside. Her research integrates experimental and numerical methods to study transport phenomena at the intersection of biology, oceanography, and fluid mechanics. Key interests include sea ice dynamics, remote sensing, and fluid transport by plankton aggregations. Education: B.Sc. in Mechanical Engineering from Universidad Nacional Autonoma de Mexico (2010), M.S. and Ph.D. in Mechanical Engineering from Caltech (2012, 2016). Her postdoctoral work at JPL/Caltech focused on collaborative ocean science projects. Research in the Wilhelmus Lab explores fluid mechanics in environmental and biological systems, with projects like Arctic sea ice tracking, robotic platforms, and plankton hydrodynamics. The lab's work bridges engineering and environmental science to address climate observation challenges and ocean turbulence. Her interdisciplinary approach combines satellite data analysis with field experiments, contributing to understanding Arctic Ocean eddies and submesoscale currents. Collaborative efforts include developing algorithms for ice floe tracking and advancing sediment diagenesis models.

Navid ConstantinouView profile

Senior Lecturer

• Physical Oceanography
• Geophysical Fluid Dynamics
• Climate Modeling
• +3 more

Navid Constantinou is a Senior Lecturer at The University of Melbourne, specializing in Climate & Ocean Geoscience. His research focuses on physical oceanography, geophysical fluid dynamics, and climate modeling, with a particular emphasis on machine learning applications in these fields. He is affiliated with the University of Melbourne and contributes to collaborative projects like Oceananigans.jl and regional-mom6. Research Interests: His work explores ocean circulation dynamics, fluid mechanics, and the interplay between atmospheric and oceanic systems. Key areas include surface wave effects, turbulence decay, and parameterization of ocean mixing processes. He actively develops computational tools to enhance climate modeling accuracy and resolution. Publications: His recent work addresses topics like meridional heat transport in the Atlantic, GPU-based ocean modeling, and the impact of climate change on Antarctic currents. These studies often involve interdisciplinary collaborations with institutions like MIT and the Scripps Institution of Oceanography. Awards: While no explicit awards are listed, his research has been highlighted in prominent journals and media outlets like The Conversation and Nature Climate Change . Advising & Grants: He supervises students such as Dhruv Bhagtani and collaborates on projects funded by initiatives like the Australian Research Council. His software contributions, including OceanBioME.jl and SpeedyWeather.jl, underscore his commitment to advancing computational methods in geosciences. Labs/Teams: Involved in global climate modeling teams and open-source software development communities focused on ocean and atmospheric dynamics.

Daniel WangpraseurtView profile

Researcher

• Coral Ecophysiology
• Coral Restoration and Engineering
• Aquatic Benthic Photosynthesis
• +3 more

Dr. Daniel Wangpraseurt is an Associate Researcher at Scripps Institution of Oceanography, University of California, San Diego, where he leads the Coral Reef Ecophysiology and Engineering Lab. He joined Scripps in summer 2024 and co-founded Hybrid Reef Solutions, a startup developing sustainable coral reef protection technologies. Wangpraseurt serves as associate editor for Frontiers in Marine Science: Coral Reefs and sits on the Coral Restoration Consortium advisory board. His educational background includes: PhD from University of Technology Sydney, Australia MSc from Max Planck Institute for Marine Microbiology & Leibniz Center for Tropical Marine Ecology, Germany BSc from James Cook University, Australia Wangpraseurt's research bridges coral reef science, engineering, and biophysics with core interests in coral ecophysiology, restoration engineering, benthic photosynthesis, and blue technology. His work develops innovative tools for reef restoration while investigating fundamental coral physiological processes and optical properties. Analysis of his 2024-2025 publications reveals dominant themes in coral restoration technology development, including biomimetic settlement substrates, acoustic larval enrichment, and engineered biofilms. His optical research focuses on coral microstructure imaging via the Benthic Underwater Microscope (BUMP) and light-harvesting mechanisms across depth gradients. No specific scientific awards are mentioned in the source material. He directs the Coral Reef Ecophysiology and Engineering Lab and leads Hybrid Reef Solutions. His collaborative research includes NSF-BSF projects on Red Sea mesophotic corals and IntBIO grants integrating nanobiotechnologies for coral symbiosis studies. Wangpraseurt maintains active roles in the Coral Restoration Consortium advisory board and Frontiers in Marine Science editorial board, driving both technological innovation and scientific discourse in coral reef conservation.

Mostafa Bakhoday PaskyabiView profile

Associate Professor

• Offshore Wind Energy
• Environmental Impacts of Offshore Wind Turbines
• Wind-Wave-Turbulence Interaction
• +7 more

Mostafa Bakhoday Paskyabi is an Associate Professor at the Geophysical Institute , University of Bergen. His research focuses on offshore wind energy , environmental impacts of turbines , wind-wave-turbulence interaction , and climate change effects on wind parks . He employs Large Eddy Simulation (LES) and data assimilation for digital twin development. Teaching: Course responsible for ENERGI322 and ENERGI101; lecturer for ENERGI321 and ENERGI360. Supervision: Advises PhD candidates like Maria Krutova, Xu Ning, and Øystein Husevåg Døskeland, alongside master’s students including Fahim Masud Ahmed and Tord Nylan Malmei. His research explores physical oceanography (ocean mixing, Lagrangian particle tracking), air-sea interaction , and reduced-order modeling for offshore energy systems. Recent work examines swell wave impacts on turbulence and LiDAR-based data assimilation for transient event forecasting. Projects include LESWIND , WindSys , HIPERWIND , and Wind3D , addressing offshore wind design, ecosystem impacts, and climate operability. Collaborations span institutions like NTNU, NORCE, and IMR.

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.

Andrew BraggView profile

Associate Professor

• Turbulence
• Fluid Dynamics
• Theoretical Fluid Dynamics
• +12 more

Andrew Bragg is an Associate Professor in the Department of Civil and Environmental Engineering at Duke University's Pratt School of Engineering. His research focuses on turbulence and fluid dynamics with applications in environmental systems, including atmospheric and oceanic flows, sediment transport, and climate modeling. Research Interests: His primary research areas include the physics and modeling of turbulence, theoretical and computational fluid dynamics, and applied mathematics. He investigates multiscale turbulent transport phenomena, especially in environmental contexts where unresolved scales challenge large-scale models. His work integrates statistical physics, high-performance computing, and collaboration with experimentalists. The recent publications (2024–2023) reflect a strong trend in understanding turbulence across environmental and engineered systems. Key themes include particle and scalar transport in stratified and wall-bounded flows, bubble-induced turbulence, surfactant effects, Lagrangian modeling, and subgrid-scale parameterizations for climate models. The research spans fundamental fluid mechanics to applied environmental engineering, often using advanced computational and theoretical frameworks. Scientific Awards: National Science Foundation CAREER Award (2021) EUROMECH Young Scientist Award (2017) Advising and Grants: While specific students are not listed, Dr. Bragg has secured competitive funding, notably the NSF CAREER award, indicating active mentorship and research leadership. He teaches graduate-level courses such as ME/CEE 634/688: Turbulence and CEE 690: Advanced Topics in Civil and Environmental Engineering, suggesting involvement in training the next generation of researchers. Labs and Teams: Dr. Bragg collaborates extensively with researchers across institutions and disciplines, including experimentalists and modelers in atmospheric science, mechanical engineering, and environmental engineering. His work is part of a broader effort to improve predictive models for environmental resilience and risk assessment.

• Atmospheric sciences
• Climate change science
• Geology
• +3 more

Sebastian Hoch is an Adjunct Associate Professor in Atmospheric Sciences at the University of Utah. His research focuses on boundary layer processes in complex terrain , particularly examining radiation and surface energy balance effects on boundary layer evolution and terrain-driven flows. Education: PhD in Natural Sciences (Earth Science) from ETH Zurich (2006) Languages: German His research integrates atmospheric sciences , climate change science , and geophysics , with specific emphasis on pollution monitoring , mountain meteorology , and fog dynamics . Recent publications analyze freezing fog microphysics, coastal fog formation mechanisms, and complex terrain wind energy potential using WRF-COAMPS modeling. Grant-funded projects include: COLD FOG AMONGST COMPLEX TERRAIN (CFACT) 2021-2025 RED BUTTE AIR EXCHANGE STUDY 2019-2020 OWENS LAKE LIDAR STUDY 2018 MODELING FOR FASMEE 2018-2021 MATERHORN program 2011-2017 As educator, he has taught Experiential Learning II and Mountain Weather & Climate courses (2023-2024). His work combines extensive field measurements with high-resolution modeling to address atmospheric boundary layer dynamics in complex environments.

Alexander BaklanovView profile

Professor

• Mesoscale Meteorology
• Numerical Weather Prediction
• Chemical Weather Forecasting
• +8 more

Alexander Baklanov is a Scientific Officer at the World Meteorological Organization (WMO) and an Affiliated Professor at the Niels Bohr Institute, University of Copenhagen. With over 30 years of experience in meteorological and environmental sciences, his work spans integrated weather, climate, and Earth-system research, with a focus on seamless modeling and urban climate theory. Education: PhD (1983), Dr. Sci. (1998), and Professor (2008) in Meteorology from Novosibirsk Computing Center and USSR Academy of Sciences. His research interests include: Mesoscale and microscale meteorology Chemical weather forecasting Atmospheric transport and aerosol dynamics Urban climate modeling for sustainable cities Seamless coupled Earth system modeling Recent publications highlight advancements in coupled chemistry-meteorology modeling, urban climate services, and integrated systems for air quality and climate. These works emphasize interdisciplinary approaches and computational frameworks. Scientific recognition includes: Fellow of the Pan-Eurasian Experiment (PEEX) Gold Medal of International Eurasian Academy of Sciences Academician of International Eurasian Academy of Sciences Honorary Professor titles and Visiting Professorships He has supervised 10 PhD dissertations and led large-scale projects like EU FP7 MEGAPOLI and FP5 FUMAPEX, with cumulative budgets exceeding 20 million Euros. As Editor-in-Chief of Urban Climate , he drives global discourse on urban environmental systems.

Paola CrippaView profile

Assistant Professor

• Air Quality
• Aerosol Dynamics Modeling
• Climate Change
• +7 more

Paola Crippa is an Assistant Professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame, College of Science. Her research focuses on air quality, aerosol dynamics, climate change, and wind energy, leveraging advanced computational models like WRF-Chem and large eddy simulations (LES). She holds a Ph.D. in Atmospheric Science from Indiana University-Bloomington (2013), and M.S. and B.S. degrees in Environmental Engineering from Politecnico di Milano, Italy (2007 and 2005). Her work integrates high-performance computing with atmospheric processes, exploring topics such as urban climate impacts, aerosol-cloud interactions, and extreme weather events. Notable contributions include studies on Sundowner events, wind energy potential in complex terrain, and the role of urbanization in deep convection. Research interests span multiscale modeling, environmental justice in air pollution epidemiology, and the application of machine learning (e.g., echo state networks) for weather forecasting. She actively participates in interdisciplinary projects like the Perdigão field campaign, addressing wind energy and turbulence dynamics. Her publications emphasize quantifying uncertainties in climate impacts, optimizing wind energy assessments, and understanding human health risks from air pollutants. Despite no explicitly noted awards or grants in the provided text, her extensive publication record reflects sustained contributions to atmospheric science and computational methods.

• Marine Biogeochemistry
• Oceanography
• Carbon Cycling
• +5 more

Dr. Nasrollah Moradi is a Scientist in the Polar Biological Oceanography department at the Alfred Wegener Institute (AWI). His research focuses on advancing numerical models and data science techniques to study the marine biological carbon pump, particularly the lateral transportation of organic matter and the impact of ocean mesoscale eddies on carbon sequestration. He applies methods like fluid dynamics simulations, microsensor measurements, and machine learning to analyze sinking marine particles, phytoplankton colonies, and aggregate dynamics. Key research interests include: lateral organic matter transport between coastal and open ocean environments, carbon export via eddies, and small-scale mass transfer processes within marine particles. His work integrates in-situ observations, remote sensing, and laboratory experiments to improve understanding of biogeochemical cycles in polar and marine ecosystems. Dr. Moradi has developed novel measurement-based models for diffusive fluxes at aquatic interfaces and employs lattice Boltzmann methods for fluid dynamics simulations. His recent studies emphasize eddy-driven carbon flux patterns off Cape Verde and microbial processes within Trichodesmium colonies. His computational expertise bridges experimental data with theoretical frameworks to address complex marine biogeochemical questions.

Lisa ScheunemannView profile

Assistant Professor

• Computational Mechanics
• Multiscale Modeling
• Finite Element Method
• +9 more

Dr.-Ing. Lisa Scheunemann is an academic faculty member at the Institute of Mechanics, Department of Civil Engineering, Faculty of Engineering Sciences, University of Duisburg-Essen, Germany, holding the position of Akademische Rätin a.Z. She has been actively contributing to research and teaching since completing her doctorate in 2017. Research Interests: Her research focuses on advanced computational methods in solid mechanics, particularly multiscale modeling of heterogeneous materials. Key areas include the construction of statistically similar representative volume elements (RVEs) for dual-phase steels, finite element formulations for coupled micro-macro transitions, crystal plasticity modeling using the infeasible primal-dual interior point method, and the analysis of residual stresses in thermo-mechanically processed materials. Her work bridges theoretical mechanics, numerical simulation, and materials engineering. Publication Trends: Her recent publications (2019–2021) emphasize numerical algorithms for crystal plasticity, model order reduction, residual stress prediction in manufacturing, and high-performance computing applications in materials simulation. The research consistently applies computational mechanics to solve complex problems in material behavior and industrial processes. Scientific Recognition: Appointed member of GAMM Juniors (since 2019) Academic Advising and Research: She has supervised multiple master's and bachelor’s theses on topics related to computational mechanics, FEM, homogenization, and microstructure modeling. Her research is collaborative, involving projects on residual stress analysis and multiscale simulation, often in partnership with other institutions and industry-relevant engineering problems. Laboratories and Research Groups: She is affiliated with the Institute of Mechanics and participates in research initiatives such as the EXASTEEL project, which aims to create a virtual laboratory for multiscale steel simulation using high-performance computing. She is also associated with the Seminar for Numerical Mathematics and Mechanics (SNMM).

Regis ThedinView profile

Researcher

• Wind Energy
• Atmospheric Science
• Fluid Dynamics
• +3 more

Regis Thedin serves as a Researcher III in the Mechanical Engineering department at the National Renewable Energy Laboratory (NREL), working within the National Wind Technology Center. His expertise centers on microscale flow dynamics and interactions with complex terrain, wind farms, and soaring birds using advanced large-eddy simulation modeling tools. His educational qualifications include: PhD in Aerospace Engineering from Pennsylvania State University Master of Mechanical Engineering from Pontifical Catholic University of Rio de Janeiro Bachelor of Mechanical Engineering from Pontifical Catholic University of Rio de Janeiro Thedin's research spans wind energy systems, atmospheric boundary layer physics, and computational fluid dynamics. He investigates turbulence-terrain interactions, wind turbine wake dynamics, and mesoscale-to-microscale coupling phenomena. His prior doctoral work analyzed atmospheric effects on ship airwakes and helicopter landing dynamics. Current projects focus on high-fidelity wind farm simulations and structural response modeling for next-generation turbines. His 2025 publications reveal a concentrated effort on advancing wind energy technologies through computational modeling, atmospheric measurement techniques, and structural analysis. Key themes include wake steering optimization, floating offshore turbine dynamics, and acoustic tomography applications for atmospheric sensing—demonstrating interdisciplinary integration of fluid mechanics, structural engineering, and atmospheric science. Thedin actively collaborates within NREL's National Wind Technology Center and maintains external partnerships across wind energy research networks. His work contributes to critical national initiatives in renewable energy development and grid integration through high-performance computing applications and field measurement validation.