جست‌وجوی استاد و پژوهشگر

• Diophantine Approximation
• Geometry of Numbers
• Parametric Approximation
• +۴ مورد دیگر

Leonhard Summerer is an Associate Professor at the Faculty of Mathematics, Department of Mathematics . His research primarily focuses on Diophantine Approximation , Geometry of Numbers , and Parametric Approximation . His work explores the Approximation Property in parametric settings, Lattice Theory , and Linear Dependence in number theory. Recent publications include studies on Jarník’s identity, simultaneous approximation to multiple reals, and geometric interpretations of number-theoretic problems. He has authored numerous peer-reviewed articles and contributed chapters to educational books such as 77-mal Mathematik für Zwischendurch , emphasizing mathematical outreach and pedagogical innovation . Active in academic discourse, he has delivered talks on topics like Packings and Tilings in Z and Simultane Approximation m reeller Zahlen since 2006.

Alexandre Ernمشاهده پروفایل

استاد

• Numerical Analysis
• Finite Element Methods
• Computational Mechanics
• +۵ مورد دیگر

Alexandre Ern is a Senior Researcher at CERMICS (École des Ponts ParisTech) and INRIA Paris (SERENA team), where he has contributed since 1995 and 2016, respectively. He holds a professorship at École des Ponts (since 1997) and previously served as Associate Professor at École Polytechnique (2010–2022). Since 2015, he heads the Master's program in Applied Mathematics at École des Ponts. Ern is Co-Editor-in-Chief of the IMA Journal of Numerical Analysis (since 2024) and Associate Editor for multiple top journals including SIAM Journal on Scientific Computing and ESAIM Mathematical Modelling and Numerical Analysis. His research focuses on numerical methods (finite elements, discontinuous Galerkin, hybrid high-order schemes), a posteriori error estimation , and applications in fluid/solid mechanics and environmental flows (hydrology, porous media). He develops structure-preserving discretizations for complex PDEs and explores computational geosciences and wave propagation. Ern's publications emphasize robust error analysis , high-order discretizations , and computational efficiency for elliptic, parabolic, and hyperbolic systems. Recent work explores hybrid high-order methods for wave equations, Maxwell's equations, and interface problems, often leveraging polynomial-degree-robust techniques and unfitted meshes. Scientific Awards: Paul Caseau Prize (2020) Nominee, AMIES Prize (2020) ENPC Best PhD Award (supervision) UPE Best PhD Award (supervision) Frontiers of Science Award, Int. Congress Basic Science (2024) He actively advises PhD students (31+ supervised) and postdocs, with projects funded by industrial partners including CEA, EDF, and Safran. His team collaborates with CERMICS and INRIA's SERENA lab, focusing on computational mechanics, model reduction, and large-scale fracture networks.

• Supply Chain Management
• Logistics
• Sustainability
• +۶ مورد دیگر

Markus Gerschberger is a Professor at the Steyr University of Applied Sciences , affiliated with the Center of Excellence Logistics LOGISTIKUM . His research focuses on Supply Chain Management , Resilience , and Sustainability , with a particular emphasis on Value Networks , Green Supply Chain Practices , and Process Variability . He has led significant projects such as JRC LIVE (2019–2023) and LOG-ReSCUE (2014–2015), funded by the 7th Framework Programme of the European Union and BRIDGE: science transfer . Key research areas: Supply Chain Complexity, Organizational Adaptability, Carbon Emissions Mitigation. Collaborations: EU institutions, Austrian automotive suppliers, and international researchers. Recent work: 2025 systematic review on sustainable supply chains, 2024 studies on circular economy and carbon emissions. His publications highlight trends in EU supply chain regulation , greenhouse gas compliance , and resilience strategies . He actively participates in peer-review and conferences like CSCMP 2018 and ICLT 2017 , often co-authoring with colleagues such as Verena Schmidt and Franz Aschauer . His work spans 146 research outputs and 6 projects , reflecting deep engagement with logistics innovation.

• Electromagnetism
• Neutron Scattering
• Fluid Mechanics
• +۵ مورد دیگر

Patrick Ciarlet is a Professor at ENSTA Paris, part of the Institut Polytechnique de Paris, where he is a member of the POEMS (Wave Propagation, Mathematical Study and Simulation) research team within the Applied Mathematics Unit (UMA). He also serves as the responsible person for the Master's degree in Mathematics and Applications at the Institut Polytechnique de Paris. His research is structured around two main poles in applied mathematics: Modeling in electromagnetism, neutron scattering and fluid mechanics Numerical analysis of PDEs and scientific computing Professor Ciarlet's work demonstrates a strong focus on mathematical methods for solving problems in wave propagation and electromagnetism, particularly with challenging materials such as metamaterials that have sign-changing coefficients. His research spans theoretical mathematical analysis and practical numerical implementations, with applications in nuclear engineering (neutron diffusion equations) and plasma physics. His publication record shows consistent contributions to finite element methods, with particular expertise in stability analysis, error estimation, and specialized approaches like T-coercivity for handling problems with sign-changing coefficients. He has also developed educational resources through lecture notes on Maxwell's equations and variational methods for non-coercive problems. As an academic leader, he plays a significant role in shaping mathematics education at the graduate level through his responsibility for the Master's degree program in Mathematics and Applications, contributing to ENSTA Paris's research focus on cutting-edge areas with applications in sustainable energy, transportation, and defense.

Lars Grasedyckمشاهده پروفایل

استاد

• Numerical Analysis
• Hierarchical Matrices
• Tensor Approximation
• +۷ مورد دیگر

Lars Grasedyck is a Professor of Numerical Analysis at RWTH Aachen University. His research focuses on hierarchical matrices, tensor approximation, and numerical methods for partial differential equations and matrix equations. He has contributed to applications in biomedical engineering, particularly EEG/MEG inverse problems, and is involved in software development (HLIB, HLIB-pro). Education: Diploma and Ph.D. in Mathematics at Christian-Albrechts-Universität zu Kiel (1998, 2001), Postdoctoral work at Max Planck Institute, Leipzig (2002-2010). Research: Specializes in high-dimensional numerical methods, low-rank matrices, and tensors with applications in PDEs, uncertainty quantification, and biomedical modeling. Projects: Leads DFG-funded initiatives on adaptive tensor networks for parametric PDEs and tumor progression modeling. Advising: Supervises doctoral students including Thong Le, Maren Klever, and Dieter Moser. Software: Developed HLib and HLib-pro for hierarchical matrix computations. Conferences: Active in GAMM Fachausschuss Numerische Analysis, organizing workshops and symposia globally.

Ana Lucicمشاهده پروفایل

استادیار

• Interpretable Machine Learning
• Artificial Intelligence
• Earth System Science
• +۳ مورد دیگر

Ana Lucic is an Assistant Professor in Artificial Intelligence at the University of Amsterdam , with a joint appointment between the Institute for Logic, Language and Computation and the Informatics Institute . Her research focuses on interpretable machine learning applications for scientific discovery and societal impact. Formerly at Microsoft Research AI for Science and Partnership on AI PhD in Explainable Machine Learning from University of Amsterdam (2022) BSc/MSc in Mathematics from McMaster University Research Highlights: Develops mechanistic interpretability methods for deep learning architectures. Created Aurora , a foundation model for Earth system forecasting outperforming traditional operational models in air quality prediction and tropical cyclone tracking. Pioneers Clifford-Steerable CNNs for geophysical data analysis. Actively hiring PhD students for AI transparency research . Collaborative Networks: Contributions to ELLIS Summer School and ICML workshops . Collaborates with Microsoft Research AI for Science team on climate-related ML projects. Involved in organizing TerraBytes workshop at ICML 2025. Recent Advancements: Key role in publishing Aurora model in Nature (2025), demonstrating superior performance in Earth system forecasting. Supervises Ege Erdogan , new PhD student focused on mechanistic interpretability. Actively contributes to open-source AI development through GitHub repositories and technical discussions.

• Fluid Dynamics
• Hydrogen Engines
• Combustion
• +۴ مورد دیگر

Elia Distaso is an Assistant Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari, Italy. His research focuses on fluid dynamics, hydrogen combustion, and computational modeling. University: Politecnico di Bari Department: Mechanics, Mathematics & Management Academic Rank: Assistant Professor Email: elia.distaso@poliba.it His work spans hydrogen engines , CFD simulations , and hydraulic systems , with recent publications addressing auto-ignition mechanisms, cavitation phenomena, and sustainable aviation technologies. He specializes in leveraging numerical methods for combustion and fluid flow analysis. His 15 most recent publications highlight trends in computational fluid dynamics, including boundary condition modeling, pressure-velocity coupling, and OpenFOAM® applications. Key subfields include hydrogen combustion dynamics , lubricant oil reactivity , cryogenic heat exchanger design , and piezohydraulic pump analysis .

• Urban Economics
• Real Estate
• Housing Policy
• +۳ مورد دیگر

Rodrigo Martinez is a Lecturer in Economics and Finance of Real Estate at University College London (UCL) within The Bartlett School of Sustainable Construction. He previously held a postdoctoral position at Uppsala University and received his PhD from Universitat de Barcelona (2021). His work focuses on housing affordability, housing policy, and urban adaptation to climate change. Education: PhD in Economics (Universitat de Barcelona), MSc in Finance and Economics (Pompeu Fabra University) Research Interests include urban economics, real estate finance, public economics, and climate change adaptation. His recent publications address topics such as flood risk management in urban areas, rent control policies, and the impact of short-term rentals on housing markets. Teaching Activities at UCL include leading modules on Real Estate Data Analysis and Forms of Value of Real Estate, as well as teaching Basic Business Economics. Languages: English, Spanish (Latin American), Catalan

Andrej Bogdanovمشاهده پروفایل

استاد

• Cryptography
• Computational Complexity
• Pseudorandomness
• +۶ مورد دیگر

Andrej Bogdanov is a Professor at the University of Ottawa in the School of Electrical Engineering and Computer Science . He earned his B.S. and M.Eng. from MIT and Ph.D. from UC Berkeley . Before joining Ottawa, he held positions at the Chinese University of Hong Kong , ITCS (Tsinghua) , DIMACS (Rutgers) , and the Institute for Advanced Study . He has served as a Visiting Professor at the Tokyo Institute of Technology (2013) and the Simons Institute (2017, 2021). Research Interests : Computational complexity, cryptography foundations, pseudorandomness, one-way functions, property testing, quantum algorithms, and sublinear-time algorithms. Teaching : Courses on Discrete Mathematics, Great Algorithms, Computational Complexity, and Cryptography at University of Ottawa, Chinese University of Hong Kong, and Rutgers University. Publications : 15+ recent works in TCC , CRYPTO , ICALP , RANDOM , and journals like Journal of Cryptology and Theory of Computing . Service : Program co-chair for SAC 2026 , and committee member for major conferences including CRYPTO , TCC , Eurocrypt , and FOCS . Advising : 12 current and former Ph.D./M.Phil. students, with postdoctoral advisees at institutions like IIT Palakkad and Academia Sinica . His work bridges theoretical computer science with applications in cryptography, quantum computing, and network security.

Christopher Janjigianمشاهده پروفایل

استادیار

• Mathematical Physics
• Probability Theory
• Random Walks in Random Environments
• +۳ مورد دیگر

Christopher Janjigian is an Assistant Professor in the Department of Mathematics at Purdue University, specializing in probability theory with a focus on random walks in random environments, KPZ universality class phenomena, and stochastic partial differential equations. He holds a Ph.D. from the University of Wisconsin-Madison (2016) and has held postdoctoral positions at Université Paris Diderot (2016–2017) and the University of Utah (2017–2020). His research explores the infinite volume structure of random walks in random potentials and connections to models like the Kardar-Parisi-Zhang equation. He organizes the Purdue University Probability Seminar and has taught advanced courses including Stochastic Processes, Probability Theory, and Stochastic Calculus. His work bridges theoretical probability with applications in mathematical physics, emphasizing geometric and dynamic properties of stochastic systems. Recent research focuses on geodesic structures in percolation models, Busemann functions, and ergodic properties of directed polymer models. His articles investigate topics like exit point bounds in last-passage percolation and synchronization in the KPZ equation, contributing to the understanding of universal behaviors in stochastic systems.

Fanze Kongمشاهده پروفایل

مدرس

• Partial Differential Equations
• Reaction-Advection-Diffusion Systems
• Chemotaxis Models
• +۳ مورد دیگر

Fanze Kong is a Pearson Fellow and Acting Instructor at the Applied Math Department of the University of Washington. He holds a Ph.D. in Mathematics from the University of British Columbia (2021-2024), an M.Sc. in Mathematics from Southwestern University of Finance and Economics (2018-2021), and dual B.Sc. degrees in Mathematics and Economics from the same institution (2014-2018). His research focuses on the analysis of Partial Differential Equations (PDEs), particularly reaction-advection-diffusion systems and chemotaxis models. Key interests include: Nonlinear dynamics in biological systems Pattern formation and stability Fluid-structure interactions in chemotaxis His recent publications explore phenomena such as spike dynamics in Keller-Segel models, aggregation in chemotaxis-fluid systems, and localized patterns under advection-dominated conditions. These studies bridge applied mathematics with mathematical biology, emphasizing rigorous analytical techniques. No scientific awards are listed. While no advising or grant details are provided, his work is disseminated through platforms like Google Scholar and institutional homepages.

Tom Palmerمشاهده پروفایل

مدرس ارشد

• Biostatistics
• Genetic Epidemiology
• Public Health
• +۳ مورد دیگر

Dr. Tom Palmer is a Senior Lecturer in Biostatistics Applied to Genetics at the University of Bristol's Bristol Medical School. He holds advanced degrees including a PhD and specializes in biostatistical methodologies for genetic and epidemiological research. His work integrates Mendelian randomization techniques and large-scale observational studies, particularly focusing on cardiovascular diseases, diabetes, and the impacts of the SARS-CoV-2 pandemic. Palmer's research emphasizes causal inference and methodological innovations in public health, leveraging electronic health record systems like OpenSAFELY to analyze vaccine efficacy, post-infection complications, and chronic disease outcomes. His studies often involve large cohorts (e.g., 16 million people in England) and address critical questions about the long-term health effects of infectious diseases and vaccination strategies. Education: PG Cert, PhD, MSc, BSc (specific degree institutions not explicitly stated) Affiliations: Bristol Medical School (PHS), OpenSAFELY initiative His research interests include: Mendelian randomization and causal inference methods Genetic epidemiology of obesity, cardiovascular disease, and diabetes Evaluation of vaccine effectiveness and safety Public health responses to pandemics Palmer collaborates closely with leading epidemiologists and statisticians at the University of Bristol, including Professors George Davey Smith, Kate Tilling, and Jonathan Sterne. His work has significant implications for healthcare policy and clinical decision-making in post-pandemic and chronic disease management contexts.

David Choppمشاهده پروفایل

استاد

• Numerical Methods
• Scientific Computing
• Interface Motion
• +۴ مورد دیگر

David Chopp is a Professor of Engineering Sciences and Applied Mathematics at Northwestern University's McCormick School of Engineering. His research focuses on numerical methods, scientific computing, and interface motion, with applications in bacterial biofilms, neurophysiology, and materials science. He holds the Charles Deering McCormick Professor of Teaching Excellence award. Chopp earned his Ph.D. in Mathematics from UC Berkeley and a B.S. in Mathematics and Applied Mathematics from the University of Washington. Research interests include level set methods, computational neuroscience, fracture mechanics, and biofilm modeling. Notable contributions span phase field modeling, microbial fuel cell simulations, and adaptive algorithms for neural systems. His work bridges computational tools with real-world applications in engineering and biology. Key Projects: Phase field modeling with large driving forces (2023), biofilm potassium signaling (2021), non-planar crack tracking (2016). Awards: Charles Deering McCormick Professor of Teaching Excellence. Chopp advises students in biofilm dynamics, computational materials, and fracture mechanics. His lab develops algorithms for interface tracking and neural simulations, collaborating on biofilm bioclogging and material failure analysis. Active in teaching and publishing, he authored textbooks on high-performance computing and contributed to over 60 peer-reviewed articles.

Glen McGeeمشاهده پروفایل

استادیار

• Biostatistics
• Epidemiology
• Environmental Health
• +۳ مورد دیگر

Glen McGee is an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. He holds a PhD in Biostatistics from Harvard University and a BScH in Mathematics from Queen's University. His research focuses on developing statistical tools for epidemiology, environmental health, and health policy, with a particular emphasis on environmental mixture analysis, cluster-correlated data modeling, and outcome-dependent sampling methodologies. Education : PhD in Biostatistics, Harvard University BScH in Mathematics, Queen's University Research Interests : McGee advances methodologies for analyzing complex environmental mixtures and their health impacts, including incorporation of biological knowledge into statistical frameworks. His work addresses challenges in multigenerational studies, informative cluster sizes, and measurement error correction in case-crossover designs. Key application areas include hospital profiling, exposure misclassification, and longitudinal health data analysis. Research Trends : His publications emphasize Bayesian methods for mixture modeling, innovative sampling strategies for clustered data, and causal inference techniques. Notable contributions include frameworks for integrating biological pathways into environmental health analyses and developing efficient sampling approaches for healthcare performance evaluation. Grants & Labs : McGee collaborates on projects involving CMS data applications and maintains GitHub repositories like hospODS for hospital profiling methodology implementation. His work bridges statistical theory with practical public health applications, particularly in environmental epidemiology and healthcare analytics.

Toan T. Nguyenمشاهده پروفایل

استاد

• Partial Differential Equations
• Fluid Dynamics
• Kinetic Theory
• +۴ مورد دیگر

Toan T. Nguyen is a Professor in the Department of Mathematics at Pennsylvania State University, affiliated with the Eberly College of Science. He holds a Ph.D. from Indiana University (2009). His research focuses on Partial Differential Equations, Mathematical Physics, Fluid Dynamics, and Kinetic Theory, with contributions to boundary layer stability, inviscid limits, and plasma physics. Education: Ph.D. in Mathematics, Indiana University, 2009. Affiliations: Editorial Board member of Kinetic & Related Models and SIAM Journal on Mathematical Analysis. Grants & Support: Recipient of Simons Fellowship (2019), Centennial Fellowship (2018). His work bridges theoretical analysis and applications, including nonlinear wave dynamics, fluid-structure interactions, and quantum kinetic models. He has organized international conferences, such as the VIASM Summer School in Mathematical Physics (2023–2024), and advised Ph.D. students like Chanjin You and Trinh T. Nguyen. Awards: T. Brooke Benjamin Prize (2022), highlighting his contributions to nonlinear waves and Landau damping. His research also explores instabilities in boundary layers and the mathematical foundations of plasma physics. Nguyen collaborates internationally, contributing to journals like the Journal of the American Mathematical Society and Communications in Mathematical Physics. His teaching includes advanced graduate courses on PDEs and kinetic theory.