جست‌وجوی استاد و پژوهشگر

• Geomorphology
• Hydrology
• Remote Sensing
• +۳ مورد دیگر

Jaclyn Cockburn is an Assistant Professor in the Department of Geography at the University of Guelph. Her research focuses on fluvial geomorphology, hydrology, and environmental processes, with an emphasis on river restoration, sediment dynamics, and climate-landscape interactions. She employs cutting-edge technologies like LiDAR and remote sensing to study aquatic ecosystems and geomorphic processes in diverse environments, including Arctic regions and urban streams. Her work spans topics such as ice-covered stream hydraulics, varve-based climate proxies, and the impacts of urbanization on river morphology. She has contributed to methodological advancements in geomorphometric analysis and digital soil mapping. Notably, she has addressed systemic issues in academia through a 2019 paper examining gender dynamics in academic careers. Dr. Cockburn's research bridges field observations, computational modeling, and policy-relevant applications. Her articles consistently address interdisciplinary challenges in environmental science, emphasizing the interplay between physical processes and ecological outcomes.

Wenqing Huمشاهده پروفایل

دانشیار

• Probability
• Data Sciences/Machine Learning/Optimization
• Operations Research
• +۲ مورد دیگر

Roles & Affiliations: Wenqing Hu is an Associate Professor of Mathematics at the Department of Mathematics and Statistics, Missouri University of Science and Technology (formerly University of Missouri, Rolla). He holds memberships in professional societies including The Bachelier Finance Society, INFORMS, SIAM, and the Society of Actuaries. Education: Ph.D. in Mathematics, University of Maryland at College Park (2013) B.S. in Mathematics, Peking University (2008) Research Interests: His work spans Probability (stochastic analysis, multiscale problems), Machine Learning (optimization algorithms, neural networks), Operations Research (smart grid systems), Math Biology (Ao's potential function), and Cryptology (zero-knowledge proofs in blockchain). Recent breakthroughs include contributions to zero-knowledge virtual machines and high-dimensional data analysis . Publications Overview: His 15 most recent works (2025-2012) span topics like cryptology (e.g., zkEVM), stochastic differential equations, and reinforcement learning applications in manufacturing. Key themes include stochastic processes, nonlinear optimization, and interdisciplinary applications in energy systems and biology. Awards & Grants: Miner Alumni Teaching Award (2018) Simons Foundation Collaboration Grant (2020-2025) NSF-funded travel support for the 2018 ICM Labs & Collaborations: Active in cross-disciplinary projects such as subspace indexing on Grassmann manifolds and nonlinear optimization in ML .

Marat Khairoutdinovمشاهده پروفایل

استاد

• Climate modeling
• High-resolution cloud modeling
• Cloud microphysics
• +۳ مورد دیگر

Marat Khairoutdinov is a Professor at Stony Brook University's School of Marine and Atmospheric Sciences (SoMAS), specializing in atmospheric sciences. He holds a Ph.D. from the University of Oklahoma (1997). His research focuses on climate modeling, high-resolution cloud dynamics, and cloud microphysics. He developed the System for Atmospheric Modeling (SAM) and contributed to the Multiscale Modeling Framework (MMF), advancing global climate simulation techniques. Key research interests include super-parameterization, cloud-resolving models, and massively parallel computing. His work bridges microphysical processes and large-scale climate phenomena, such as the Madden-Julian Oscillation. Khairoutdinov's models (SAM/MMF) are widely used in climate studies and have improved understanding of cloud-climate interactions. His educational background includes studies at Moscow Institute of Physics and Technology and early work at Central Aerological Observatory. Collaborations span institutions like NOAA, NASA, and international universities. His contributions address climate change impacts, tropical cyclones, and boundary layer dynamics.

• Climate Science
• Nonlinear Dynamics
• Statistical Mechanics
• +۳ مورد دیگر

Jeroen Wouters is a researcher in climate science and nonlinear dynamics, affiliated with the University of Reading. His work focuses on extreme event analysis, rare event simulation, and the application of large deviation theory to climate systems. He collaborates extensively with institutions like the University of Reading and the University of Paris-Saclay on projects involving stochastic parameterization, model reduction, and climate variability. His research interests span climate modeling, atmospheric dynamics, and mathematical physics, with a particular emphasis on understanding and predicting extreme weather phenomena such as heat waves and cold spells. Wouters has developed innovative computational methods for simulating rare climate events using advanced algorithms like large deviation theory and genealogical particle analysis. Key contributions include advancing methodologies for analyzing multi-scale systems, improving parameterization techniques in climate models, and exploring the statistical mechanics of chaotic systems. His interdisciplinary approach bridges applied mathematics, geophysical fluid dynamics, and climate science, addressing both theoretical and computational challenges in environmental modeling.

• Fracture Mechanics
• Aerospace Materials
• Composite Materials
• +۶ مورد دیگر

Dr. Wieslaw K Binienda is a Professor of Civil Engineering at the University of Akron's College of Engineering and Polymer Science, where he has served since 1988. He co-directs the Gas and Turbine Research and Testing Laboratory. His expertise spans fracture mechanics, composite materials characterization, and computational methods like FEA and CFD. He has received prestigious awards including the NASA 'Turning Goals Into Reality Award' and ASCE's Richard R. Torrens Award for editorial leadership. Education: Ph.D., Mechanical Engineering, Drexel University (1987) M.S., Mechanical Engineering, Drexel University (1985) B.S./M.S., Motor Vehicles and Heavy Duty Machines, Warsaw Polytechnic University (1980) Research Interests: Focuses on advanced composite materials' mechanical behavior under extreme conditions, including high-energy impact, thermal cycling, and dynamic loading. Specializes in failure analysis using multiscale modeling and experimental validation. Active in aerospace applications like turbine durability and structural safety. Awards: NASA 'Turning Goals Into Reality Award' ASCE Aerospace Division 2010 Outstanding Professional Service Award ASCE 2013 Richard R. Torrens Award Fellow, American Society of Civil Engineers (ASCE) Lab & Collaborations: Leads the Gas and Turbine Research and Testing Laboratory, advancing turbine blade containment, impact analysis, and material testing. Collaborates with industry on aviation safety and composite material innovations.

• Mechanics of Materials
• Computational Mechanics
• Fatigue and Fracture Mechanics
• +۷ مورد دیگر

Dr. Xiaosheng Gao is a Professor and Associate Chair for Graduate Programs in the Department of Mechanical Engineering at the University of Akron's College of Engineering and Polymer Science. He joined UA in 2001, with prior roles including Assistant Professor at Northwestern Polytechnical University (China), visiting positions at the Royal Institute of Technology (Sweden) and the National University of Singapore, and a Summer Faculty Fellowship at the Office of Naval Research. His research focuses on mechanics of materials, computational modeling, fracture mechanics, and multi-scale material behavior. Education: Ph.D. (2008, Brown University), M.S. (2005, Brown University), M.S. (1990, Xi'an Jiaotong University), B.S. (1987, Xi'an Jiaotong University). Research interests include constitutive modeling of advanced materials, fatigue and fracture mechanics, micromechanics, and corrosion damage analysis. Recent studies emphasize hydrogen embrittlement, composite material behavior, and environmental effects on material degradation. His work integrates experimental and computational methods, with applications in aerospace, naval, and structural engineering. Key awards include the American Society of Mechanical Engineers Fellowship and the Office of Naval Research Young Investigator Award. His contributions span over 50 peer-reviewed articles, focusing on material failure mechanisms, corrosion, and multi-scale modeling. Courses taught include Dynamics, Finite Element Analysis, and Continuum Mechanics.

Sara Merino-Aceitunoمشاهده پروفایل

استاد

• Kinetic Theory
• Partial Differential Equations
• Emergent Phenomena
• +۳ مورد دیگر

Sara Merino-Aceituno is a Professor at the Faculty of Mathematics, University of Vienna. Her research focuses on kinetic theory and its applications to emergent phenomena in biology, medicine, and social sciences. She employs partial differential equations, probability, numerical simulations, and modeling to study systems where macroscopic patterns arise from microscopic interactions, such as cancer formation, pedestrian dynamics, and angiogenesis. She leads the Vienna Research Group for young investigators (WWTF-funded) project on kinetic theory applied to fertility, cancer, and development, collaborating with experimentalists and interdisciplinary teams. Education and Affiliations: No explicit educational details provided, but she holds a professorship at the University of Vienna. Her group, The HERD (Mathematics of Emergence in Natural Domains), includes researchers like Claudia Mußnig-Wytrzens, Carmela Moschella, and Havva Yoldas. Research Projects: WWTF Vienna Research Group grant (2018–2026): 1.6 million euros for studying kinetic theory in fertility, cancer, and development. Funded by FWF as part of SFB 65 'Taming Complexity in PDEs' for work on emergent properties in collective dynamics. Collaborates with biologists (e.g., Christa Bücker, Shotaro Otsuka) and mathematicians (e.g., Pierre Degond, Christian Schmeiser) on interdisciplinary projects. Scientific Contributions: Her work bridges mathematical theory and real-world systems, including modeling cell behavior in tissues, collective motion of particles, and opinion dynamics on networks. Publications span topics like nematic alignment in swarms, mechanical constraints in epithelia, and continuum modeling of social systems. Labs/Teams: Her team (The HERD) focuses on applying kinetic theory to biological and social systems. Collaborators include experimentalists and computational scientists, emphasizing cross-disciplinary synergy.

Sara Merino-Aceitunoمشاهده پروفایل

دانشیار

• Kinetic Theory
• Emergent Phenomena
• Mathematical Biology
• +۱۲ مورد دیگر

Sara Merino-Aceituno is an Associate Professor at the Faculty of Mathematics, University of Vienna, with prior academic roles at the University of Sussex and Imperial College London. Her research focuses on kinetic theory and mathematical modeling of emergent phenomena in biological, medical, and social systems. PhD in Mathematics, University of Cambridge (2015) MSc in Computer Science and Applied Mathematics, INP Grenoble (2010) BSc in Mathematics, Universitat Politècnica de Catalunya (2009) Her research interests center on understanding how macroscopic patterns arise from microscopic interactions, using tools from partial differential equations, probability, and numerical analysis. She specializes in interacting particle systems, collective dynamics, opinion formation, and cell tissue development. She collaborates closely with experimental biologists to validate and refine her models. The recent publications reflect a consistent focus on kinetic modeling of collective behavior, phase transitions, and multiscale analysis. Her work bridges abstract mathematical theory with concrete applications in biology and social sciences, often involving collaboration with interdisciplinary teams. She develops continuum limits of particle systems and investigates stability, alignment, and pattern formation in complex systems. Sara is actively involved in mentoring and science communication. She has co-authored study guides for students, leads outreach initiatives such as exhibitions at the 'Long Night of Research,' and produces educational videos. She also maintains a blog and YouTube channel to share insights on research, learning, and academic life. Co-authored guide: 'GOOD_STUDY_HABITS.pdf' with Amalio Fernández-Pacheco Created educational video 'Describing Patterns' with filmmaker Sameer Patel Regular contributor to public science events Active blogger on topics including coaching, creativity, and academic mindset She leads a research group called 'The HERD,' which investigates emergence in natural domains, focusing on mathematical models of biological and social systems. Her team includes postdoctoral researchers and students working on kinetic theory, numerical simulations, and interdisciplinary modeling projects.

Ricard Soléمشاهده پروفایل

استاد پژوهشی

• Complex Systems
• Synthetic Biology
• Evolutionary Biology
• +۷ مورد دیگر

Ricard Solé is an ICREA Research Professor at the Catalan Institute for Research and Advanced Studies, based at Universitat Pompeu Fabra (UPF), where he leads the Complex Systems Lab within the Department of Experimental and Health Sciences. He is also External Professor at the Santa Fe Institute (USA), fellow of the European Centre for Living Technology (Italy), and external faculty at the Center for Evolution and Cancer at UCSF. He teaches undergraduate courses in Biomathematics, Biological Design, and Complex Diseases. Research Interests: Ricard Solé's work focuses on the emergence of complexity in biological systems. He investigates the evolutionary origins of major transitions—such as the rise of protocells, multicellularity, symbiosis, cognition, and language—through the lens of synthetic biology and mathematical modeling. He introduced the concept of 'synthetic major transitions' to simulate evolutionary innovations in the lab. Another key area involves unstable evolutionary dynamics in RNA viruses and cancer, where high mutation rates drive adaptation. He also explores 'terraforming' ecosystems to prevent catastrophic shifts, advocating for a multiscale synthesis across synthetic biology, ecology, and systems theory. The recent publications highlight his interdisciplinary approach, bridging virology, network theory, and evolutionary dynamics. His 2021 review on phase transitions in virology and 2018 paper on mutualistic networks as evolutionary spandrels reflect his focus on critical transitions and emergent structures in complex biological systems. Scientific Awards and Recognitions: ERC Advanced Grant (2012) Fellow, European Centre for Living Technology Advising and Grants: While specific students are not listed, Ricard Solé leads a research lab and likely mentors graduate students and postdoctoral researchers. His research is supported by major grants, including funding from the European Research Council and Fundación Botin, enabling long-term, high-risk theoretical and experimental work in synthetic and evolutionary systems. Labs and Teams: He heads the Complex Systems Lab at the PRBB in Barcelona, fostering interdisciplinary research at the intersection of physics, biology, and computation.

Utkarsh Kapoorمشاهده پروفایل

استادیار

• Biophysics
• Biomolecular Engineering
• Self-Assembly
• +۷ مورد دیگر

Utkarsh Kapoor is an Assistant Professor in the Department of Chemical and Biomedical Engineering at the University of Wyoming, affiliated with the College of Engineering and Physical Sciences and the Molecular and Cellular Life Sciences Program. He is also an Adjunct Professor in the School of Computing and holds the distinguished title of UW Derecho Professor. Education: Ph.D. in Chemical Engineering, Oklahoma State University, 2018 B.E. (Hons.) in Chemical Engineering, Birla Institute of Technology & Science (BITS)-Pilani, India, 2012 His research centers on computational biophysics and biomolecular engineering, with a focus on self-assembly, phase separation, and polymer nanocomposites. Using multiscale modeling, molecular dynamics, and machine learning, his lab investigates protein-nucleic acid interactions and designs novel biomaterials. His work is highly interdisciplinary, bridging chemical engineering, biophysics, and computational science. The recent publications reflect a strong trend in computational modeling of biomolecular systems, particularly in understanding phase separation phenomena and nanoparticle-polymer interactions. These studies employ advanced simulation techniques to probe molecular mechanisms underlying biological organization and material design. Scientific Awards and Honors: NIH Wyoming INBRE Pilot Project funding 2024 Spring Faculty Fellow Award, School of Computing UW Derecho Professor OSU Graduate Research Excellence Award (2019) OSU Foundation Distinguished Graduate Fellowship (2017) Robert L. Robinson Endowed Fellowship (2017) Halliburton Graduate Fellowship in Engineering (2015) Creativity, Innovation and Entrepreneurship Scholarship (2015) ISA Scholarship (2016–2019) Dr. Kapoor advises graduate students and leads the Kapoor Lab, which has secured competitive funding including NIH support. His collaborative research program integrates theory, simulation, and interdisciplinary science to advance bioengineering applications. He actively participates in academic service, including chairing sessions at AIChE and giving invited seminars. The Kapoor Lab is an active research group focused on computational biophysics, with ongoing projects in protein phase separation, chromatin organization, and polymer nanocomposites. The lab fosters a collaborative environment and is part of broader initiatives at the University of Wyoming, including the Molecular and Cellular Life Sciences Program and the School of Computing.

Hu Liمشاهده پروفایل

استاد

• Systems Biology
• Artificial Intelligence in Medicine
• Machine Learning
• +۱۲ مورد دیگر

Hu Li, Ph.D. , is a Professor of Pharmacology and Consultant in the Department of Molecular Pharmacology and Experimental Therapeutics at Mayo Clinic, Rochester, Minnesota. He is affiliated with the Mayo Clinic Comprehensive Cancer Center, Center for Individualized Medicine, and Center for Regenerative Biotherapeutics, where he leads research at the intersection of systems biology, artificial intelligence, and precision medicine. Dr. Li earned his Ph.D. in Computational Biology and Bioinformatics from the National University of Singapore under Dr. Yuzong Chen, followed by postdoctoral training in Systems Biology at the Wyss Institute, Harvard University, and the Broad Institute, MIT, with Dr. Jim Collins. His research focuses on developing unified manifold medicine frameworks using machine learning and AI to model disease at multiple scales. He aims to decode disease heterogeneity, understand tissue spatial architecture, and design personalized treatment regimens. His work leverages systems tools and generative AI to create bodywide tissue maps and improve therapeutic outcomes. His recent publications demonstrate a strong trajectory in iPSC biology, cancer pharmacogenomics, immunology, and treatment response prediction, reflecting a multidisciplinary approach integrating computational and experimental biomedicine. Scientific Awards: The Eric and Wendy Schmidt Fund for AI Research and Innovation (2023) Dr. Li has been a co-investigator on multiple NIH-funded projects, including those from the National Cancer Institute, focusing on pancreatic cancer and melanoma genetics. He collaborates widely across Mayo Clinic and national research networks. His lab produces high-impact research, with over 178 publications, and he actively mentors trainees and leads innovative projects in AI-driven biomedical discovery. His research fingerprint highlights expertise in induced pluripotent stem cells, reprogramming, transcriptomics, and statistical learning methods, underscoring his leadership in computational systems biology.

• plasticity
• material damage
• multiscale simulations (MD, DDD, FEM)
• +۴ مورد دیگر

Dr. Yi Hu is a researcher at the Max Planck Institute for Sustainable Materials , affiliated with the Department of Microstructure Physics and Alloy Design within the Theory and Simulation research group. His work focuses on computational materials science and multiscale modeling of structural materials. Research interests include: Plasticity and material damage mechanisms Multiscale simulations (Molecular Dynamics, Discrete Dislocation Dynamics, Finite Element Method) Computational methods like topology optimization, machine learning, and phase field modeling Development of DAMASK (Düsseldorf Advanced MAterial Simulation Kit) Recent publications highlight his expertise in precipitate strengthening of aluminum alloys, dislocation dynamics, and multiscale modeling. He collaborates on code development and has contributed to advancing computational frameworks for material simulations. Key affiliations: Max Planck Institute for Sustainable Materials, Düsseldorf, Germany.

Fabien Crausteمشاهده پروفایل

پژوهشگر

• Biomathematics
• Mathematical Immunology
• Delay Differential Equations
• +۴ مورد دیگر

Fabien Crauste is a Director of Research at CNRS, affiliated with MAP5 UMR 8541 at the University of Paris Cité. His work bridges applied mathematics and biomedical research through multi-scale modeling. Math Bio Santé Thematic Network Director Organizer of Modeling, Analysis, Simulations working group Co-organizer of mathematical modeling in life sciences seminar Member of PEPR Maths-Vives Program Committee Active in AMIES and MAP1.5 environmental initiatives Research focuses on mathematical immunology , delay differential equations , and cell population dynamics with applications to CD8 T cell responses, B cell differentiation, and diseases like chronic lymphocytic leukemia and atopic dermatitis . Special emphasis on stochastic modeling and inter-individual variability in immune responses. Current projects include AI4scMED (multiscale AI for precision medicine), DCComm (dendritic-T cell communication), and Digi-DermA (dermatitis modeling). Supervises multiple postdocs and PhD students on these topics. Contributions include developing the Simuscale framework for multi-cell modeling and analyzing erythropoiesis dynamics and germinal center B cell differentiation .

• Numerical Analysis
• Partial Differential Equations
• Finite Element Methods
• +۵ مورد دیگر

Prof. Dr. Dietmar Gallistl is a faculty member at Friedrich-Schiller-Universität Jena, holding the Professorship for Numerical Mathematics within the Faculty of Mathematics and Computer Science. His research focuses on numerical methods for partial differential equations, including mixed finite elements, multiscale methods, adaptive algorithms, and computational homogenization. He teaches courses such as Theory and Numerics of Partial Differential Equations and Iterative Solvers for Partial Differential Equations . His research interests span various areas including discretization techniques for nonlinear PDEs, error analysis, and computational methods for wave propagation. He has contributed to software tools for finite element mesh refinement and numerical simulations. Recent work includes publications on the Gross-Pitaevskii eigenvalue problem, Monge-Ampère equations, and time-harmonic Maxwell equations. Prof. Gallistl's academic work emphasizes rigorous mathematical analysis alongside practical numerical implementation. His teaching materials include lecture notes on computational PDEs and finite element methods available on his university webpage.

Vivek Raoمشاهده پروفایل

استاد

• Engineering Design Theory and Methodology
• Product Design, Development & Innovation
• Emerging Technologies in Design
• +۴ مورد دیگر

Vivek Rao serves as Associate Dean for Master's & Professional Programs and Executive Director of the Design and Technology Innovation Master's Program at Duke University's Pratt School of Engineering. He is also an Executive In Residence in Engineering Graduate and Professional Programs, teaching core courses including Design Ethics & Social Innovation and Design Innovation Studio while leading the development of Duke's new Masters of Engineering program. He earned his B.S. (2007), M.S. (2012), and Ph.D. (2018) in Mechanical Engineering from the University of California, Berkeley. His research spans Engineering Design Theory and Methodology , Product Design Innovation , and Emerging Technologies in Design , with significant focus on Sociotechnical Systems , Human-Computer Interaction , and Sustainability applications in water infrastructure. His interdisciplinary work integrates business innovation frameworks with engineering design principles. Analysis of his 15 most recent publications (2021-2024) reveals a dominant trend in AI-enhanced design tools, cybersecurity integration, and human-centered methodologies across disaster response, global health, and virtual collaboration contexts. These works demonstrate consistent interdisciplinary collaboration bridging engineering, business, and social sciences through journals like Design Studies and Journal of Mechanical Design. No scientific awards were documented in the source material. Rao has secured substantial external and internal grant funding during his postdoctoral research at UC Berkeley and maintains an active consulting practice with clients ranging from pre-seed startups to the US Department of Defense. His pedagogical approach emphasizes project-based learning, as evidenced by his development of foundational courses for Berkeley's Masters of Design program and Duke's new initiative. As Executive Director of Duke's Design and Technology Innovation program, Rao leads curriculum development and industry partnerships focused on translating design theory into real-world technological solutions, particularly in infrastructure and sustainability domains.