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Abbas MilaniView profile

Professor

• Textile Composites
• Biocomposites
• Materials Constitutive Relations
• +10 more

Abbas Milani is a tenured Professor of Mechanical Engineering at the University of British Columbia's Okanagan campus, where he holds the Tier 1 Principal's Research Chair in Sustainable & Smart Manufacturing and serves as Director of the Materials and Manufacturing Research Institute (MMRI). He also serves as Technical Director of the Composites Research Network (CRN), Lead of the Canadian-International Biocomposites Research Network, and leads multiple major initiatives including the UBC-Pacific Economic Development Canada-Advancing Circular Economy (ACE) program and the UBC-NRC IRAP National Circular Economy CtO Program. Dr. Milani's primary research focuses on advanced modeling, simulation, and multi-criteria design optimization of composite and biocomposite materials, structures, and manufacturing processes. His expertise spans Textile Composites/Biocomposites, Materials Constitutive Relations, Finite Element Modeling, Robust Inverse Methods, Material Selection for End-of-Life Design Strategies, Multiple Criteria Decision Making, and Industry 5.0 applications. His interdisciplinary research bridges mechanical engineering, sustainable materials science, and smart manufacturing technologies. Analysis of his recent publication record reveals a strong emphasis on sustainable materials development, with particular focus on biocomposites, life cycle assessment methodologies, and optimization of manufacturing processes. His work integrates computational modeling with experimental validation across diverse application areas including medical devices, sustainable packaging, and circular economy strategies. The publications demonstrate increasing integration of artificial intelligence and machine learning approaches with traditional engineering methods. 2015 UBC Okanagan Researcher of the Year Award Killam Faculty Research Award (2016) Inducted into Royal Society of Canada - College of New Scholars (2020) Gold Medal Service Contribution Award by Academics World Reviewer Contribution Award by ASM International Multiple teaching excellence awards from UBC Dr. Milani has successfully mentored over 100 students and postdoctoral fellows who have secured positions in both industry and academia. His research program has been supported by more than $15 million in funding from government and industrial organizations. He leads the NSERC CREATE in Immersive Technologies (CITech) program and co-leads the Advanced Materials and Fabrication Core Competency within the Survive and Thrive Applied Research (STAR) program, demonstrating his commitment to training the next generation of engineers and advancing applied research.

Aytaç KubilayView profile

Academic

• Urban Microclimate Modeling
• Computational Fluid Dynamics (CFD)
• Thermal Comfort Analysis
• +4 more

Dr. Aytaç Kubilay is a Senior Researcher at the Chair of Building Physics, Department of Mechanical and Process Engineering, ETH Zurich. His research focuses on urban microclimate modeling, particularly wind-flow analysis, thermal comfort optimization, and vegetation-based climate mitigation strategies. Institution: ETH Zurich Department: Mechanical and Process Engineering Research Scope: Urban climate, CFD modeling, heat island mitigation Research interests include computational fluid dynamics (CFD) applications for urban environments, with emphasis on heat island effects, wind-driven rain analysis, and porous media heat transfer. His work combines numerical simulations and experimental validations to assess thermal comfort and climate adaptation strategies in cities. Recent publications analyze vegetation impacts on urban microclimates, including tree cooling potential, street-level thermal comfort dynamics, and high-rise building wind mitigation. Studies employ custom solvers like urbanMicroclimateFoam and OpenFOAM for integrated flow-heat-moisture modeling. Key collaborations include researchers from ETH Zurich (Jan Carmeliet, Dominique Derome) and international institutions, focusing on sustainable urban planning and climate resilience frameworks.

Kevin C. ZhouView profile

Assistant Professor

• Computational Imaging
• Biomedical Engineering
• Optical Systems
• +3 more

Kevin C. Zhou is an Assistant Professor in the Department of Biomedical Engineering at the University of Michigan. His research focuses on developing high-performance computational optical imaging systems with unprecedented spatiotemporal throughput, integrating advanced optical instrumentation with machine learning-driven algorithms to analyze big data in biology and medicine. His lab specializes in creating imaging systems capable of capturing high-resolution, high-speed, and high-dimensional datasets. Dr. Zhou holds a Ph.D. in Biomedical Engineering from Duke University (NSF GRFP Fellow) and a B.S. in Biomedical Engineering from Yale University (Barry Goldwater Scholar). Prior to joining U-M, he was a Schmidt Science Fellow and postdoctoral researcher at UC Berkeley. Key research areas include: High-throughput microscopy (gigapixel-scale systems) 3D tomographic imaging Light field and Fourier-based imaging modalities Machine learning for image reconstruction and analysis Biomedical applications in cellular/molecular imaging His recent work has advanced technologies like multi-camera array microscopes (MCAM/MCAS) and Fourier light field mesoscopes, achieving video-rate 3D imaging of freely moving organisms. These innovations enable applications in digital cytopathology, behavioral tracking, and high-content biological studies. Notable awards include the NSF Graduate Research Fellowship and Barry Goldwater Scholarship. His research has been featured in top journals and conferences with a focus on advancing optical imaging hardware and computational pipelines.

Gary FroylandView profile

Professor

• Dynamical Systems
• Machine Learning
• Optimisation
• +12 more

Scientia Professor Gary Froyland is a Professor at the University of New South Wales (UNSW), affiliated with the School of Mathematics & Statistics. He leads the ARC Laureate Centre for Dynamical Systems and Data and holds an Einstein Visiting Fellowship from the Einstein Foundation Berlin. His academic credentials include a BSc (Hons 1, Medal) in Pure and Applied Mathematics from the University of Queensland and a PhD in Mathematics from the University of Western Australia. Professor Froyland's research spans two primary domains: dynamical systems and optimization. In dynamical systems, he investigates the interplay of probability and geometry in nonlinear and chaotic systems, employing tools from ergodic theory, functional analysis, and differential geometry. His work extends to applications in oceanography, atmospheric science, and granular flows. In optimization, he focuses on decision-making in complex systems with uncertain information, developing novel approaches in mathematical programming that have been applied to mining, logistics, and medical treatment planning. His recent publications demonstrate a strong focus on coherent structures in dynamical systems, linear response theory, and applications to geophysical phenomena. The research shows increasing interdisciplinary collaboration, particularly with climate scientists and data analysts, reflecting a trend toward applying advanced mathematical techniques to real-world problems in environmental science and engineering. J.D. Crawford Prize (2025) Elected Member of the Academy of Europe / Academia Europaea (2024) ARC Laureate Fellow (2024-2029) Fellow of the Society for Industrial and Applied Mathematics (SIAM) (2021) Fellow of the Australian Academy of Science (2020) Vice-Chancellor's Award for Teaching Excellence - Postgraduate Research Supervision (2015) Professor Froyland actively supervises PhD and honors students, with current advisees including Kevin Felipe Kühl Oliveira, Nicholas Peters, and Kathrin Völkner. His research is supported by multiple grants, including an ARC Laureate Fellowship (2024-2029) for "Breakthrough mathematics for dynamical systems and data," an Einstein Visiting Fellowship (2022-2026), and several ARC Discovery Projects. His work has practical applications in climate science, mining optimization, and medical treatment planning, particularly in radiotherapy. He leads the ARC Laureate Centre for Dynamical Systems and Data, which brings together researchers to develop new mathematical approaches for analyzing complex dynamical systems. The center focuses on creating methods to identify coherent structures in spatiotemporal data, with applications spanning environmental science, social science, health science, and engineering.

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

Ricardo MatanoView profile

Professor

• Large-scale Ocean Circulation
• Geophysical Fluid Dynamics
• Western Boundary Currents
• +3 more

Ricardo Matano is a Professor at Oregon State University's College of Earth, Ocean, and Atmospheric Sciences (CEOAS), Department of Oceanography. His research focuses on large-scale ocean circulation, western boundary currents, ocean modeling, and geophysical fluid dynamics, with a particular emphasis on the Southern Ocean and South Atlantic dynamics. He holds a Lic. in Physical Oceanography from Universidad Nacional del Sur (1983), an MA in Geophysical Fluid Dynamics from Princeton University (1988), and a PhD in Atmospheric and Oceanic Science from Princeton (1991). Research interests include low-frequency variability of South Atlantic circulation, interocean exchanges, shelf circulation in the southwestern Atlantic, and dynamics of shelfbreak formation. Recent work explores climate change impacts on Patagonian shelf systems and larval connectivity in marine species. His studies often involve numerical modeling and satellite data analysis to understand coastal and open-ocean interactions. Recent publications (2022–2025) highlight studies on Agulhas Bank circulation, Patagonia shelf-break dynamics, and California Current poleward transports. His work contributes to understanding climate-driven variability in marine systems and informing coastal management strategies.

Kaighin McCollView profile

Associate Professor

• Terrestrial Water Cycle
• Climate Science
• Hydrology
• +5 more

Kaighin McColl is an Associate Professor at Harvard University with joint appointments in the Department of Earth and Planetary Sciences and the School of Engineering and Applied Sciences. His research focuses on the terrestrial water cycle and its interactions with weather and climate over land. PhD from MIT (2017) with NSF Graduate Research Fellowship Bachelor's degrees in environmental engineering and applied mathematics from University of Melbourne (2009) Research interests include: Water limitation effects on evapotranspiration Surface energy balance dynamics Atmospheric boundary layer behavior Convective precipitation mechanisms Applications to storm, drought, and heatwave forecasting Scientific contributions span 15 recent articles analyzing soil moisture dynamics, climate engineering impacts, and land-atmosphere interactions. His work has practical implications for wildfire prediction and climate adaptation strategies. Scientific Awards: Sloan Research Fellowship in Earth System Science NSF CAREER award Kavli Fellow by the National Academy of Sciences McColl advises graduate students including Tara Gallagher, Aidan Matthews, and Mariya Pershyna. His lab emphasizes international collaboration and interdisciplinary research requiring physics, mathematics, and climate science expertise. Teaching responsibilities include two different undergraduate course teaching fellowships during PhD training.

Bingzhang ChenView profile

Senior Lecturer

• Biological oceanography
• Theoretical Ecology
• Ecosystem modeling
• +9 more

Bingzhang Chen is a Senior Lecturer in the Department of Mathematics and Statistics at the University of Strathclyde, Faculty of Science. He previously held positions as a Chancellor’s Fellow at the same institution, a researcher at the Japan Agency of Marine-Earth Science and Technology (JAMSTEC), and was affiliated with Xiamen University and Mount Allison University. His academic journey began with a PhD from the Hong Kong University of Science and Technology. Education: PhD in Trophic interactions within the microbial food web, Hong Kong University of Science and Technology (Awarded 2009) His primary research interests lie at the intersection of biological oceanography and theoretical ecology, with a strong focus on ecosystem modeling. He investigates how biodiversity, particularly of phytoplankton, influences marine ecosystem functioning such as primary production and the biological carbon pump. A central theme in his work is understanding the differential temperature sensitivity between autotrophs and heterotrophs, a question that bridges statistical analysis, metabolic theory, and Earth system science. His recent publications highlight a consistent trend in developing and applying individual-based models (e.g., PIBM 1.0), analyzing large datasets on plankton thermal responses, and studying the impacts of climate change and anthropogenic activities (like nutrient input) on marine microbial communities across diverse regions from the South China Sea to the North Pacific and Scottish coastal waters. His work often combines modeling with observational data to address fundamental ecological questions. Scientific Awards: David Cushing Prize (2015) from the Journal of Plankton Research New Century Excellent Talent (2012) from the Ministry of Education of China Dr. Chen is actively involved in research supervision, currently guiding five PhD students. He has been the Principal Investigator on multiple research projects funded by organizations such as the Leverhulme Trust, FILAMO, and the National Science Foundation. His expertise in programming (R, Fortran, MATLAB) underpins his methodological approach. He also contributes to the scientific community as an Associate Editor for the prestigious journal Limnology and Oceanography . His work is associated with efforts to understand and model invasive species dynamics, such as the spread of Sargassum muticum in Scottish waters, and he is involved with external advisory groups like the MASTS Marine Artificial Intelligence Forum.

• Meso-scale materials
• Soft matter physics
• Granular materials
• +7 more

Associate Professor Mohammad Saadatfar is affiliated with the School of Civil Engineering at The University of Sydney. His research focuses on meso-scale materials, combining experiments with simulations to address challenges in environmental science, biomedical engineering, and advanced materials design. Key areas include the study of cellular solids, granular materials, and meta-materials. His work integrates physics, engineering, and biology, with applications to CO₂ geo-sequestration, bone implants, and mechanical meta-materials. He uses X-ray tomography, FE simulations, and topological analysis to explore material behavior. Recent publications span topics like additive manufactured foams, CO₂ flow dynamics in sandstone, and biomimetic wood structures. His contributions highlight interdisciplinary approaches to material science and engineering challenges. No scientific awards or student advisement details are explicitly mentioned in the provided text.

Carlos Fernandez-GrandaView profile

Associate Professor

• Machine Learning
• Medical AI
• Climate Science
• +7 more

Carlos Fernandez-Granda is an Associate Professor of Mathematics and Data Science at New York University, holding joint appointments at the Courant Institute of Mathematical Science and the Center for Data Science. He currently serves as the Interim Director of the Center for Data Science. His academic career spans over a decade at NYU, where he has taught probability and statistics to data-science students. Dr. Fernandez-Granda's research focuses on designing and analyzing data-science methodology, with current emphasis on machine learning applications in medicine, climate science, and scientific imaging. His work bridges theoretical foundations with practical applications across multiple domains. His notable contributions include: Development of the COBRA (COnfidence-Based chaRacterization of Anomalies) score for automatic assessment of impairment and disease severity Applications of machine learning to improve climate projections through the M2LInES project Research on magnetic resonance fingerprinting for quantitative tissue parameter estimation Development of AI systems for medical diagnostics including Alzheimer's detection and breast cancer diagnosis Dr. Fernandez-Granda is the author of the book "Probability and Statistics for Data Science," published by Cambridge University Press. The book serves as a comprehensive guide to the two pillars of data science, featuring real-world datasets and addressing fundamental challenges like overfitting, the curse of dimensionality, and causal inference. His research has been supported by grants from the National Science Foundation (Division of Mathematical Sciences, grants 1616340 and 2009752) and the Alzheimer's Association (grant AARG-NTF-21-848627). Dr. Fernandez-Granda is actively involved in several collaborative projects: M2LInES project: An international collaboration focused on improving climate projections using machine learning to capture unaccounted physical processes at the air-sea-ice interface Math and Data group: Exploring the intersection of mathematical theory and data science applications

Andrew ThompsonView profile

Professor

• Physical Oceanography
• Southern Ocean Dynamics
• Climate Science
• +3 more

Andrew Thompson is the John S. and Sherry Chen Professor of Environmental Science and Engineering at the California Institute of Technology. He serves as Director of the Ronald and Maxine Linde Center for Global Environmental Science and Executive Officer for Environmental Science at Caltech. With a Ph.D. from Scripps Institute of Oceanography (2006), his career at Caltech spans from Assistant Professor (2011-17) to his current Professor role since 2017. Education: B.S. in Physics from Dartmouth College (2000), C.A.S. (2001) and M.Phil. (2002) at University of Cambridge Leadership: Director of Linde Center (2023-), Academic Officer (2019-22) His research focuses on ocean circulation dynamics and physical processes governing climate systems . Key areas include: Ocean Turbulence and Submesoscale Dynamics Antarctic Circumpolar Current and Drake Passage Dynamics Climate Change Impacts on Ice Shelf Melt Rates Current projects involve ChinStrAP (Changes in Stratification at the Antarctic Peninsula), using autonomous ocean gliders to study eddy formation and air-sea exchange. His group employs idealized numerical models , remote sensing , and climate simulations to explore topics like: Warm water pathways onto Antarctic continental shelves Role of mesoscale/submesoscale eddies in ocean mixing Global overturning circulation responses to climate change Scientific achievements include the Packard Fellowship for Science and Engineering . He mentors graduate students Xiaozhou Ruan , Giuliana Viglione , and Andrew Delman , fostering interdisciplinary collaboration with institutions like Scripps Institution of Oceanography and CSIR . His group emphasizes inclusive training for early-career scientists in climate-relevant STEM careers .

Lara A. EstroffView profile

Professor

• Biomineralization
• Crystal Growth Mechanisms
• Bio-inspired Materials Synthesis
• +7 more

Lara A. Estroff is a Full Professor and the current Chair of the Department of Materials Science and Engineering at Cornell University's College of Engineering. She has been a faculty member since 2005 and served as Director of Graduate Studies from 2015 to 2019. Her academic leadership and research excellence position her at the forefront of bio-inspired materials and biomineralization research. Her educational background includes a B.A. in Chemistry from Swarthmore College (1997) and a Ph.D. in Chemistry from Yale University (2003), followed by an NIH-funded postdoctoral fellowship at Harvard University in the lab of Prof. George M. Whitesides. Dr. Estroff's research centers on the fundamental mechanisms of crystal growth, biomineralization, and pathological mineralization. She investigates how organisms control mineral formation and applies these principles to engineer synthetic materials with complex structures and functionalities. Her work spans biomaterials, tissue engineering, and energy materials—particularly hybrid organic-inorganic perovskites for photovoltaics. She employs advanced characterization techniques and has pioneered in situ methods to monitor crystallization dynamics. Her recent publications reveal a strong trend toward interdisciplinary research, integrating materials science with cancer biology, immunology, and machine learning. The articles emphasize bio-inspired synthesis, mineral-tissue interactions, and the development of functional crystalline materials for medical and energy applications. Faculty Early CAREER Award, National Science Foundation (2009) Fiona Ip Li '78 and Donald Li '75 Excellence in Teaching Award, Cornell College of Engineering (2007) Marilyn Emmons Williams Award, Cornell Undergraduate Research Board (2009) Keynote Speaker, Gordon Research Seminar on Biomineralization (2012) Lawrence Berkeley National Lab Affiliate (2013) Dr. Estroff leads a major DOE-funded project titled “Formulation Engineering of Energy Materials via Multiscale Learning Spirals,” a $3 million, three-year initiative using machine learning to optimize perovskite synthesis for solar cells. She has advised numerous graduate students and postdoctoral researchers, and her lab is known for fostering collaborative, cross-disciplinary research. She has also contributed to educational initiatives at Cornell, particularly in undergraduate research and materials education. Her research group operates at the intersection of chemistry, engineering, and biology, focusing on high-resolution characterization of biominerals, in situ crystal growth studies, and the design of in vitro models for cell-mineral interactions. The lab actively collaborates with institutions including Lawrence Livermore National Laboratory, National Renewable Energy Laboratory, and Johns Hopkins University.

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.

Brian K ArbicView profile

Professor

• Physical Oceanography
• Internal Tides
• Climate Change
• +4 more

Brian K. Arbic is a Professor in the Department of Earth and Environmental Sciences at the University of Michigan. He holds a PhD in Physical Oceanography from MIT/Woods Hole Oceanographic Institution (2000) and a BS in Mathematics and Physics from the University of Michigan (1988). His research focuses on global ocean dynamics, including internal tides, gravity waves, mesoscale eddies, and tsunamis. He collaborates with institutions like NASA's Jet Propulsion Lab, NOAA, and international partners to advance ocean modeling and satellite missions (e.g., SWOT and S-MODE). Arbic leads capacity-building initiatives such as the Coastal Ocean Environment Summer School in Ghana and co-founded EquiSea, promoting equitable access to ocean science. He is a key contributor to UNESCO's Ocean Decade Challenge 9, addressing global disparities in ocean science capacity. Education: PhD, Physical Oceanography, MIT/Woods Hole, 2000 BS, Mathematics and Physics, University of Michigan, 1988 Research Interests: Internal tides and gravity wave dynamics Air-sea interactions and surface tides Mesoscale eddy energetics Tsunami modeling and paleotsunamis Global climate modeling Key Collaborations: NASA SWOT/S-MODE missions US Naval Research Laboratory, NOAA GFDL International institutions (Mercator Modeling Center, LANL) Initiatives: Coastal Ocean Environment Summer School (COESS) Global Ocean Corps and EquiSea Fund UNESCO Ocean Decade Challenge 9 Arbic's work bridges advanced modeling with global capacity development, emphasizing equitable access to ocean science resources and education.

William A. Goddard, IIIView profile

Professor

• Quantum Chemistry
• Molecular Dynamics
• Statistical Physics
• +7 more

William A. Goddard, III is the Charles and Mary Ferkel Professor of Chemistry, Materials Science, and Applied Physics at the California Institute of Technology. With a career spanning over five decades, he has held positions from Noyes Research Fellow (1964–66) to his current professorship since 2001. His educational background includes a B.S. from UCLA (1960) and a Ph.D. from Caltech (1965). Quantum chemistry and first-principles simulations Multiscale modeling (QM→MD→mesoscale) Catalysis and protein structure prediction Nanotechnology and bionanotechnology Energy storage (batteries, supercapacitors) Recent publications emphasize applications in metal-organic frameworks , electrocatalysis , and space manufacturing , reflecting his interdisciplinary approach. His work on G-protein coupled receptors and Li-S batteries demonstrates methodological innovation through quantum mechanics and machine learning . Horizon Prize , Royal Society of Chemistry Over 1548 total publications (1967–2022) As Director of Caltech's Material and Process Simulation Center , he leads development of software like ReaxFF for reactive dynamics. He teaches Ch 120 ab (Nature of the Chemical Bond) and Ch 121 ab (Atomic-Level Simulations), emphasizing hands-on computational applications for experimentalists and theorists.