جستجوی استاد راهنمای دانشگاهی

• Inverse Problems
• Numerical Analysis
• Wave Equations
• +۳ مورد دیگر

Thorsten Hohage is a Professor at the Institute of Numerical and Applied Mathematics, Georg-August-Universität Göttingen, and a Max Planck Fellow at the Max Planck Institute for Solar System Research. His work bridges inverse problems, numerical analysis, and wave equation modeling. Research interests focus on computational methods for inverse problems in helioseismology, aeroacoustics, and imaging. Recent projects include iterative holography for solar differential rotation, phase retrieval in X-ray and EUV imaging, and regularization techniques in Banach spaces. Collaborations span institutions like Zuse Institute Berlin and Johannes-Kepler University Linz. Key publications since 2022 address viscous-inertial solar waves, phaseless scattering, and learned boundary conditions. His work employs advanced numerical algorithms for heterogeneous materials and dispersive media, with applications in astrophysics and biomedical imaging.

Pengfei Xueمشاهده پروفایل

پژوهشگر

• Oceanography
• Climate Modeling
• Environmental Science
• +۵ مورد دیگر

Pengfei Xue is a Geophysical Scientist at the Environmental Science Division of Argonne National Laboratory, with a focus on numerical modeling for hydrodynamic, climate, and environmental challenges in the Great Lakes and coastal oceans. His work involves developing an integrated regional Earth system model (IRESM) that couples atmospheric, lake, ice, wave, sediment, land surface, and biological components. Education Ph.D. in Oceanography, University of Massachusetts Intercampus Marine Science Program Postdoctoral Research, Massachusetts Institute of Technology Research Focus Dr. Xue’s research emphasizes simulating and predicting regional Earth system responses to natural and anthropogenic disturbances, including climate variability, extreme events, coastal hazards, and biophysical processes. His approach integrates data assimilation and machine learning techniques within coupled ocean-atmosphere models, applied across diverse marine environments like the U.S. East Coast, Gulf of Maine, Changjiang Estuary, and the Maritime Continent. Collaborations He collaborates with interdisciplinary teams of scientists and experts to advance predictive understanding of coastal systems at broader scales through IRESMs.

Jakob von Saldernمشاهده پروفایل

پژوهشگر

• Fluid Mechanics
• Thermoacoustics
• Hydrogen Combustion Technology
• +۴ مورد دیگر

Jakob von Saldern is a Scientific Employee at the Technical University of Berlin within the Faculty of Transportation and Mechanical Systems , specifically the Institute of Fluid Mechanics and Technical Acoustics . His research focuses on thermoacoustic hydrogen burner design and physics-informed neural network applications for turbulent flow modeling. PhD candidate since 2019 Specializes in climate-neutral combustion technologies His work combines fluid mechanics and machine learning through: Development of mean field consistent closure models Research on hydrogen burner dynamics with MAN Energy Solutions Innovations in data assimilation methods for turbulent flows Recent publications demonstrate expertise in: Thermoacoustic instability analysis Reinforcement learning-augmented turbulence models Acoustic communication in can-annular combustors

Kaiyu Guanمشاهده پروفایل

استاد

• Ecohydrology
• Crop Remote Sensing
• Agroecosystem Modeling
• +۷ مورد دیگر

Kaiyu Guan is a Professor in the Department of Natural Resources and Environmental Sciences at the University of Illinois at Urbana-Champaign (UIUC) , with affiliations in the Siebel School of Computing and Data Sciences, College of Agricultural, Consumer and Environmental Sciences (ACES), Institute for Sustainability, Energy, and Environment (iSEE), and the National Center for Supercomputing Applications (NCSA). He serves as the Founding Director of the Agroecosystem Sustainability Center (ASC) and holds the Levenick Endowed Professorship in Agroecosystem Sensing and Modeling . Education : PhD in Environmental Engineering from Princeton University (2013), B.S. in Geography and Geoinformatics from Nanjing University (2008). His research integrates satellite remote sensing , land surface models , and machine learning to address climate change impacts on agriculture , soil carbon dynamics , and water resource sustainability . His group develops scalable frameworks for field-level carbon budgeting , irrigation monitoring , and crop yield forecasting . Recent publications focus on knowledge-guided AI , N2O emissions , and plant hydraulic responses to drought . His work is funded by NASA , NSF , USDA , and DOE . Scientific Awards : Blavatnik National Award Finalist (2021, 2024) AGU James Macelwane Medal (2023) NSF CAREER Award (2019) Clarivate Highly Cited Researcher (2024) Guan actively mentors graduate students and leads 20+ federal projects , emphasizing science-to-policy solutions for global food security and environmental sustainability .

Daniel Sanz-Alonsoمشاهده پروفایل

دانشیار

• Inverse Problems
• Data Assimilation
• Scientific Machine Learning
• +۳ مورد دیگر

Daniel Sanz-Alonso is an Associate Professor in the Department of Statistics at the University of Chicago and a member of the Committee on Computational and Applied Mathematics. Prior to this, he was a postdoc at Brown University's Division of Applied Mathematics and Data Science Initiative (2016-2018), following a PhD in Mathematics and Statistics (2016) at the University of Warwick under Andrew Stuart and Gareth Roberts. His research focuses on inverse problems, data assimilation, and scientific machine learning, aiming to integrate complex predictive models with large datasets through theoretical and computational frameworks. His work intersects data science, machine learning, partial differential equations, and calculus of variations, with applications in weather forecasting, geophysical sciences, and machine learning. Scientific Awards José Luis Rubio de Francia Prize (2020) – Recognized as the best Spanish mathematician under 32 by the Spanish Royal Society of Mathematics NSF CAREER award (2023) He has received research support from the National Science Foundation, National Geospatial-Intelligence Agency, Department of Energy, and BBVA Foundation (€35,000 grant over three years). Since 2025, he serves as Associate Editor for the SIAM/ASA Journal on Uncertainty Quantification.

Uwe Freiherr von Lukasمشاهده پروفایل

استاد

• Maritime Graphics
• Underwater Image Processing
• Machine Learning for Computer Vision
• +۴ مورد دیگر

Prof. Dr.-Ing. Uwe Freiherr von Lukas is Professor of Maritime Graphics at the University of Rostock , Faculty of Computer Science and Electrical Engineering, and heads the Rostock site of the Fraunhofer Institute for Computer Graphics Research IGD . Since 2010 he has also been Honorary Professor for Virtual Product Development and is a member of the Interdisciplinary Faculty’s Department of Maritime Systems. Education: Diplom in Computer Science, TU Darmstadt (1994) Doctorate (Promotion), University of Rostock Research Focus: His research concentrates on three pillars: Machine Learning for automated image and video analysis with a strong emphasis on underwater imagery , interactive visualization and immersive analytics of large-scale maritime data , and technology-oriented networks for innovation transfer and regional development . These topics converge in applications such as digital twins for the Baltic Sea, VR-based maritime training, and AI-driven ecosystem monitoring. Scientific Output & Trends: Recent publications (2022-2025) reveal an intensified integration of deep learning and computer vision techniques to solve domain-specific challenges in marine and environmental sciences. Studies range from transformer-based seagrass segmentation and unsupervised clustering of ROV imagery to digital-twin frameworks for ocean research, reflecting a clear trend toward AI-supported, data-centric maritime analytics . Professional Service & Networks: Board member, Subsea Monitoring Network e.V. Speaker, BMBF Future Cluster “Ocean Technology Campus Rostock” Managing Director, competence network “OceanTechnologies@Fraunhofer” Member of advisory boards of Society for Maritime Technology, Maritime Future Advisory Board Mecklenburg-Vorpommern, and others Labs & Teams: At Fraunhofer IGD Rostock he leads the Maritime Graphics group, coordinating more than thirty collaborative R&D projects that bridge computer graphics, VR/AR, and maritime engineering. The group operates state-of-the-art VR laboratories, underwater vision testbeds, and high-performance visualization facilities serving both academic and industrial partners.

Marc Lelargeمشاهده پروفایل

استاد

• Generative AI
• Interactive Theorem Proving
• Deep Learning
• +۴ مورد دیگر

Marc Lelarge is a Researcher at INRIA and a part-time Professor in the Department of Computer Science at École Normale Supérieure. He received his PhD in Applied Mathematics from École Polytechnique in 2005, following engineering qualifications from École Nationale Supérieure des Télécommunications and undergraduate studies at École Polytechnique. His research focuses on generative AI for coding and interactive theorem proving, deep learning for graphs and structured data, machine learning, and programming languages. Recent publications emphasize graph neural networks, theorem proving, optimization algorithms, and statistical learning theory. He has received multiple awards including the NetGCoop Best Paper Award (2011), SIGMETRICS Rising Star Award (2012), and Best Publication in Applied Probability Award (2015). He developed the 'Deep Learning: Do It Yourself' course and maintains active educational resources on GitHub. Current affiliations include collaborations with NVIDIA (hardware donations) and Google (cloud computing grants). He advises PhD students including E. Coupechoux and maintains research teams focused on deep learning implementations.

Claude R. Duguayمشاهده پروفایل

استاد

• Remote Sensing
• Numerical Modeling
• Cryosphere
• +۵ مورد دیگر

Claude R. Duguay is a Professor and University Research Chair in Cryosphere & Hydrosphere from Space at the University of Waterloo , specifically within the Department of Geography and Environmental Management . He also serves as the founding director of the Interdisciplinary Centre on Climate Change , where he leads research on cold region studies and remote sensing technologies. Current research focuses on Arctic hydro-climatology and remote sensing of cryospheric processes. Teaches courses like Earth from Space Using Remote Sensing , The Cryosphere , and Remote Sensing of Cold Regions . His research involves developing remote sensing algorithms and numerical models to study lake/land-atmosphere interactions in cold environments. Key areas include lake ice dynamics , permafrost monitoring , microwave backscatter analysis , and climate change impact assessments . Publications emphasize satellite-based climate products and machine learning applications for ice and hydrology studies. Recent publications highlight trends in SAR and microwave remote sensing for ice thickness, snow properties, and climate feedback mechanisms. His work bridges environmental physics and data science to improve predictive models for cold regions. Scientific recognition includes the University Research Chair in Cryosphere & Hydrosphere from Space . Collaborative projects involve institutions like the Water Institute and Waterloo-Laurier Graduate Program in Geography . Graduate supervision includes Jaya Sree Mugunthan (MSc radar altimetry thesis). Research facilities utilize X/Ku/C-band microwave systems and 1-D lake models .

• Physical Oceanography
• Climate Modeling
• Ocean Circulation
• +۴ مورد دیگر

Markus Jochum , Professor at the Niels Bohr Institute , University of Copenhagen, specializes in Physical Oceanography within the Ice, Climate and Geophysics section. With extensive experience in climate modeling and ocean dynamics, his work bridges theoretical oceanography with practical observations. PhD in Physical Oceanography (MIT, 2002) Professor at University of Copenhagen since 2012 Adjunct Assistant Professor at ESSIC, University of Maryland since 2007 Research Focus covers Atlantic Meridional Overturning Circulation (AMOC), tropical ocean dynamics, and climate system interactions. His recent work examines rogue wave forecasting, carbon removal impacts, and mixed layer parameterizations using advanced ocean models. Specialized in ICON-O and FESOM model comparisons Developed empirical frameworks for extreme ocean event prediction Investigates tipping points in ocean circulation systems Scientific Recognition : Rossby Award for best PhD thesis (2002) Excellence in Reviewing (Geophysical Research Letters, 2005) Academic Leadership includes: Associate Editor for Journal of Geophysical Research since 2003 Coordinator of SUNNY project since 2008 Key member of CLIVAR panels and NASA SST initiatives

Xu Zhangمشاهده پروفایل

پژوهشگر ارشد

• Climate Tipping Elements
• Quaternary Climate Variability
• Antarctic Climate Dynamics
• +۳ مورد دیگر

Xu Zhang is a Research Fellow affiliated with the British Antarctic Survey (BAS) under the Cambridge NERC Doctoral Landscape Awards (C-CLEAR DTP) at the University of Cambridge. Their work focuses on climate science, particularly abrupt and nonlinear climate changes such as Dansgaard-Oeschger events and glacial cycles. Research Area: Dynamics of past climate changes Institution: University of Cambridge and British Antarctic Survey Research interests include: Global core climate tipping elements and cascade effects Quaternary millennial-to-orbital time scale climate variability Antarctic forcings and feedbacks in climate changes Tropical hydroclimate variability Paleoclimate data assimilation Marine carbon cycle Xu Zhang leads a modeling protocol in the PAGES Quaternary Interglacial working group to study sea level-CO2 evolution during Marine Isotope Stage 11c and Termination V. Their interdisciplinary approach combines proxy records, numerical models, statistical methods, and machine learning.

Firat Y. Testikمشاهده پروفایل

استاد

• Environmental Fluid Mechanics
• Rainfall Microphysics
• Coastal Engineering
• +۳ مورد دیگر

Firat Y. Testik is a Professor in the Civil and Environmental Engineering and Construction Management department at the University of Texas at San Antonio's Klesse College of Engineering and Integrated Design. Contactable at firat.testik@utsa.edu, he leads the Flow Physics Lab and has published extensively on rainfall microphysics and coastal engineering challenges. Ph.D. in Aerospace Engineering from Arizona State University His research focuses on environmental fluid mechanics , particularly: Rainfall microphysics, including raindrop collision dynamics and shape-velocity distribution under wind shear Coastal bridge vulnerability to hurricane wave impacts Gravity current propagation through aquatic vegetation Atmospheric boundary layer turbulence interactions Instrument validation for precipitation measurement Recent publications show a trend toward advanced measurement techniques (high-speed imaging, sUAS) and hazard modeling for hurricanes. He actively contributes to operational rainfall estimation algorithms and infrastructure resilience studies.

Yiqi Luoمشاهده پروفایل

استاد

• Ecosystem Ecology
• Biogeochemistry
• Carbon Cycle Modeling
• +۳ مورد دیگر

Yiqi Luo is a Liberty Hyde Bailey Professor at Cornell University's School of Integrative Plant Science, Soil and Crop Sciences Section. His research focuses on advancing predictive understanding of ecosystem ecology and biogeochemistry under global environmental change through data-model integration. Academic Rank: Professor Affiliation: Cornell University Research Focus: Ecosystem carbon cycling, climate mitigation strategies, microbial dynamics, and knowledge-guided AI applications Research Interests: Dr. Luo investigates terrestrial ecosystem responses to global change, including carbon residence time optimization, climate feedback mechanisms, and nature-based carbon dioxide removal (CDR) strategies. His work spans experimental analysis, process-based modeling, and machine learning approaches. His recent publications highlight climate change mitigation through soil carbon dynamics and terrestrial ecosystem modeling . Key themes include microbial efficiency, nutrient cycling, and ecosystem resilience to droughts and warming. Scientific Awards: Fellow of the American Geophysical Union Fellow of the Ecological Society of America Fellow of AAAS Web of Science Highly Cited Researcher (2018-2023) Collaborative Grants: Current projects include DOE-funded peatland warming studies, NSF grants for LTER site research, and USDA-NIFA's AI-LEAF institute. He leads data assimilation algorithm development and contributes to global carbon cycle model intercomparisons. Contact: yl2735@cornell.edu

Elie Bou-Zeidمشاهده پروفایل

استاد

• Atmospheric Science
• Urban Environmental Modeling
• Air Flow Dynamics
• +۵ مورد دیگر

Elie Bou-Zeid is a Professor of Civil and Environmental Engineering at Princeton University and serves as the Director of the Program in Environmental Engineering and Water Resources . He previously directed the Metropolis Initiative for urban technology until 2022. His research integrates theory, numerical simulations, and field observations to study atmospheric flows, heat/pollutant transport, and sustainability in cities . Bachelor's : American University of Beirut Master's : American University of Beirut and Johns Hopkins University PhD : Johns Hopkins University He leads the Thermofluids of Urban and Natural Environments (TUNE) Lab , focusing on urban meteorology, renewable energy integration, and climate resilience . His work addresses inequitable urban environmental conditions and develops technologies for sustainable cities , including the CityReader Project . Recent publications explore urban heat islands, blue infrastructure, machine learning for climate, and boundary layer dynamics . Awards include the 2024 STAC Award , Beyond Bauhaus Prototyping the Future Award , and Fondation Latsis Internationale Prize . Awards : STAC 2024, Beyond Bauhaus 2024, EPFL Latsis Prize 2022 Editorial Roles : Editor of Journal of the Atmospheric Sciences (2020–2025) He advises five Ph.D. students and collaborates with postdocs like Einara Zahn and Young Paul Yi . His lab investigates kirigami-inspired ventilation, agrivoltaic farms, and downscaling climatic variables using Bayesian deep learning .

Bruce Gluckmanمشاهده پروفایل

استاد

• Data Assimilation
• Seizure Prediction
• Epilepsy Research
• +۵ مورد دیگر

Bruce Gluckman is a Professor in Engineering Science and Mechanics, Department of Neurosurgery, and Biomedical Engineering at Penn State University. He also holds affiliations with the Materials Research Institute (MRI), Huck Institutes of the Life Sciences, and Penn State Neuroscience Institute. Dr. Gluckman serves as Director of the Center for Neural Engineering, leading interdisciplinary research at the intersection of engineering and neuroscience. Dr. Gluckman's research focuses on several key areas including: Data Assimilation and Mechanistic Machine Learning Seizure prediction and epilepsy research Neural dynamics and brain-computer interfaces Sleep research, particularly REM sleep Neurovascular coupling and brain hemodynamics His recent work demonstrates a strong trend toward developing advanced imaging technologies for brain monitoring, particularly combining ultrasound and photoacoustic techniques. Gluckman's research also emphasizes computational modeling of neural systems, with applications to understanding seizure dynamics and developing neural engineering solutions. His work bridges fundamental neuroscience with clinical applications, particularly in epilepsy and neurodegenerative conditions. Dr. Gluckman has secured significant research funding, including: Impaired Vasoreactivity, Sleep Degradation, and Impaired Clearance in the APOE4 Brain (National Institute on Aging, 2022-2027) as Co-PI Cross-Disciplinary Neural Engineering (CDNE) Training Program (National Institute of Neurological Disorders and Stroke, 2021-2026) as PI Mechanistic Machine Learning (U.S. National Library of Medicine, 2017-2021) as Co-PI Imaging and Modeling Fluid Mechanics of Metabolite Transport in the Brain Interstitium (National Science Foundation, 2017-2021) as Co-PI 7th International Workshop on Seizure Prediction (National Institute of Neurological Disorders and Stroke, 2014-2015) as PI As Director of the Center for Neural Engineering, Dr. Gluckman leads a multidisciplinary team working at the intersection of engineering, neuroscience, and medicine. His center fosters collaboration between engineers developing novel technologies and clinicians applying these advances to neurological conditions. The research environment he has created supports innovation in neural engineering with applications to understanding and treating brain disorders.

• Medical Image Processing
• Bioinformatics
• Computational Biology
• +۴ مورد دیگر

Twan Maintz is a Lecturer at the Department of Biology , Faculty of Science , Utrecht University . His roles include being Senior Policy Officer and Secretary to the Board for academic governance bodies. PhD in Medical Image Processing (1992-1996) MSc in Mathematics (1987-1992) His research spans Medical Image Processing , Integrative Bioinformatics , Image Science , and Game Research . His work focuses on Mutual Information techniques for Medical Image Registration , 3D Modeling , and Computer Vision applications in Epilepsy Research and Aortic Endograft Analysis . He received the Young Teacher Talent Award (Best Young Lecturer Award) in 2000 from Utrecht University. His publications from 1996-2006 cover topics in Medical Imaging , Computer Vision , and Algorithm Development . Teaches Introduction to Biological Modeling Teaches System Tipping Points: Bifurcations Involved in the Bioinformatics and Biocomplexity master's program Dr. Maintz's career includes roles as Associate Professor (1997-2009), Postdoctoral Fellow at the Image Sciences Institute , and Executive Policy Officer at Utrecht University's Graduate Schools.