جست‌وجوی استاد و پژوهشگر

Isabel Proençaمشاهده پروفایل

دانشیار

• Econometrics
• Microeconometrics
• Spatial Econometrics
• +۶ مورد دیگر

Isabel Proença is an Associate Professor with Aggregation in Econometrics at ISEG – Lisbon School of Economics and Management, Universidade de Lisboa. She holds a PhD in Economics from Université Catholique de Louvain (1995) and an Agregação in Mathematics Applied to Economics and Management (MAEG) from Universidade de Lisboa (2014). Her academic career spans over three decades, with roles including Coordinator of the Scientific Area of Econometrics, President of CEMAPRE, and member of various academic committees. Her research focuses on microeconometrics, spatial econometrics, panel data analysis, and semiparametric methods, with applications to labor economics, gender disparities, international trade, and regional development. Notable projects include work on the spatial distribution of FDI spillovers in Portugal and the gender pay gap’s impact on income and poverty. She has supervised over 40 master’s and 2 PhD students. Proença has published extensively in journals like *Applied Economics*, *Computational Statistics*, and *Empirical Economics*. Her recent work addresses topics such as the effects of eliminating the gender pay gap and the evaluation of spatial econometric models in precision agriculture. She is actively involved in projects funded by Horizon2020 and FCT, focusing on gender equity in research and regional economic accessibility. In teaching, she instructs econometrics courses across undergraduate, master’s, and doctoral programs. Her professional service includes roles on the ISEG School Board and leadership in research units like CEMAPRE.

Jens Wirthمشاهده پروفایل

استاد

• Partial Differential Equations
• Harmonic Analysis
• Pseudodifferential Operators
• +۷ مورد دیگر

Jens Wirth is a Professor and Chair of Analysis and Mathematical Physics at the Institute of Analysis, Dynamics and Modeling, University of Stuttgart. He also serves as the Dean of Studies for Mathematics Education. His research lies at the intersection of partial differential equations, harmonic analysis, and operator theory, with applications in mathematical physics. University: University of Stuttgart School: Faculty of Mathematics and Physics Department: Institute of Analysis, Dynamics and Modeling Position: Professor, Dean of Studies His research interests include analysis of PDEs , pseudodifferential operators , asymptotic analysis , thermoelasticity , and harmonic analysis on Lie groups . He has made significant contributions to the study of wave equations with time-dependent dissipation, hyperbolic systems, and global functional calculus on compact Lie groups. His recent publications (2023–2013) demonstrate a sustained focus on advanced analytical methods in PDEs, particularly using representation theory and Fourier analysis on groups. Topics include global operator calculus on Spin groups , dispersive and diffusion phenomena , and zero resonances , indicating a deep engagement with both theoretical and applied aspects of mathematical analysis. Jens Wirth has been active in the international mathematical community, notably as a member of the International Board of Directors of the International Society for Analysis, its Applications and Computations (ISAAC) since 2015. He has taught a wide range of courses including Analysis I–III, Functional Analysis, Harmonic Analysis, and Asymptotic Analysis, with recent offerings scheduled through 2025/26, indicating ongoing academic activity.

• Plankton Ecology
• Biogeochemical Modeling
• Marine Ecosystems
• +۳ مورد دیگر

Vanessa Lampe is a Post-Doctoral Researcher at GEOMAR Helmholtz Centre for Ocean Research Kiel , affiliated with the Biogeochemical Modelling Research Unit . Her work focuses on the ecology and variability of plankton in high-latitude regions, particularly the structure of plankton communities (species and size composition), biogeochemical and ecosystem process modeling, and the impacts of disturbances like ship emissions on marine ecosystems. Education: Ph.D. in Biological Oceanography (2024) from Christian-Albrechts-University of Kiel/GEOMAR, M.Sc. in Biological Oceanography (2018), and B.Sc. in Biology (2015) from Georg-August-University Göttingen. Current Project: ICEBERG (EU Horizon, since 2024), investigating Arctic plankton dynamics. Past Project: microARC (BMBF&NERC, 2018–2024), focused on Arctic biogeochemical cycles. Research Trends: Her peer-reviewed publications (2021–2024) emphasize advanced modeling techniques (e.g., Lagrangian and diffusion-based methods), Arctic protist plankton variability, and ecological data analysis tools. Key subfields include Fram Strait dynamics, organic matter fluxes, and marine ecosystem responses to disturbances. Contact: vlampe@geomar.de | Office: Building 5, Room 5.514 | Phone: +49 431 600 1785 | ORCID, ResearchGate, LinkedIn profiles available.

Costis Maglarasمشاهده پروفایل

استاد

• Artificial Intelligence (AI)
• Financial Engineering
• Operations & Supply Chain Management
• +۸ مورد دیگر

Costis Maglaras is the 16th Dean of Columbia Business School and the David and Lyn Silfen Professor of Business at Columbia University. He holds a BS in Electrical Engineering from Imperial College, London (1990), and MS/PhD in Electrical Engineering from Stanford (1991/1998). His academic roles include chairing the Decision, Risk & Operations Division, directing the doctoral program, and leading Columbia’s Data Science Institute executive committee. Research Focus: Interfaces of applied mathematics, economics, and engineering, with emphasis on stochastic networks, financial engineering, algorithmic pricing, and market microstructure. Professional Experience: Founded Mismi Inc. (2007–2014), a financial tech firm; advised Goldman Sachs’ Global Markets Division on quantitative research; served as chief scientist and president of Mismi. His research spans electronic markets, social network dynamics, ride-hailing economics, and real-estate pricing. He has advised 20 doctoral students and received teaching excellence awards for courses like Managerial Statistics and Technology & Analytics curricula. Awards: INFORMS Fellow, Honorary Fellow of the Foreign Policy Association, Board of Trustees at Athens College. Active in policy roles including the Economic Club of New York. Industry Contributions: Collaborates with hedge funds and financial institutions on algorithmic strategies, advising on topics like optimal execution and market impact modeling.

• Data Management
• Data Warehousing
• Data Mining
• +۷ مورد دیگر

**Laks Lakshmanan** is a Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Institute for Computing, Information and Cognitive Systems (ICICS) and the Data Science Institute. His research focuses on data management, data mining, social network analysis, and applications of machine learning in NLP and recommender systems. He supervises PhD and Master's students in topics like influence maximization, graph algorithms, and LLM optimization. **Affiliations**: ICICS, Data Science Institute, CAIDA: UBC ICICS Centre for Artificial Intelligence Decision-making and Action **Education**: Not explicitly stated in provided text, but inferred as资深学者 in computer science **Research Interests**: Data warehousing, social network analysis, recommendation systems, algorithmic social science, and computational methods for combating misinformation. His work bridges theory and practice, with contributions to dense subgraph discovery, viral marketing models, and efficient LLM routing. **Articles Trends**: Recent work emphasizes scalable graph algorithms (densest subgraph discovery), efficient LLM applications (cost-effective routing), and social influence dynamics. Cross-modal consistency in multimodal models and clinical event prediction in healthcare are emerging focuses. **Advising**: Supervised over 20+ doctoral/master's students since 2010, with topics ranging from NLP architectures to social network analytics. Current openings for students in Master's/PhD, plus visiting researchers.

• Computational Science
• Numerical Analysis
• Domain Decomposition Methods
• +۷ مورد دیگر

Victorita Dolean Maini is a Visiting Professor in the Department of Mathematics and Statistics at the University of Strathclyde, Faculty of Science. She is actively engaged in research and supervision, with a focus on computational science and numerical methods for partial differential equations. Her work bridges applied mathematics, high-performance computing, and interdisciplinary applications in geophysics, biomedical engineering, and pharmaceutical modeling. University: University of Strathclyde School: Faculty of Science Department: Mathematics and Statistics Academic Rank: Visiting Professor Her research interests center on computational science, particularly in developing mathematical models and algorithms for complex physical systems governed by partial differential equations. She specializes in domain decomposition methods, iterative solvers, and high-performance computing, with recent extensions into scientific machine learning and physics-informed neural networks. Her work emphasizes rigorous analysis and validation of numerical results. The most recent publications highlight a strong trend in robust and scalable numerical methods for multiscale and multiphysics problems. Topics include domain decomposition with GenEO coarse spaces, optimized transmission conditions for diffusion, wave propagation in anisotropic media, and computational epidemiology. These works span disciplines such as applied mathematics, computational physics, geophysics, and biomedical modeling, reflecting a highly interdisciplinary approach. There is a clear emphasis on industrial and real-world applications, including seismic imaging, crystallization processes, and hemodynamic simulations. Scientific awards include: Fellow (awarded 7 September 2020) Prix Bull-Joseph Fourier 2015 (awarded 12 April 2016) She has been a co-investigator and principal investigator on multiple research grants, including projects like PharmaCrystNet, Fast solvers for frequency domain wave-scattering, and Blood flow dynamics in pulmonary hypertension. She actively supervises PhD students and collaborates internationally. She has organized key seminars and workshops, particularly in scientific machine learning and physics-informed learning, contributing significantly to academic community building. She leads and participates in research teams focused on computational modeling, numerical linear algebra, and interdisciplinary applications. Her group collaborates with institutions in physics, engineering, and life sciences, leveraging high-performance computing for large-scale simulations. She is also involved in promoting diversity through initiatives like the Women in Data Science and Mathematics Seminar Series.

John MacKenzieمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Computational Biology
• +۷ مورد دیگر

Professor John MacKenzie is a faculty member in the Department of Mathematics and Statistics within the Faculty of Science at the University of Strathclyde, United Kingdom. He holds the academic rank of Professor and is actively engaged in interdisciplinary research spanning computational biology, industrial mathematics, and numerical analysis of partial differential equations. Doctor of Philosophy, University of Oxford, 1991 Bachelor of Science, University of Strathclyde, 1987 His research interests lie at the intersection of applied mathematics and real-world applications. He specializes in computational modelling of biological systems, particularly eukaryotic cell migration and chemotaxis , with implications for cancer metastasis, wound healing, and embryonic development. He also applies advanced numerical techniques to industrial problems such as liquid crystal modelling , photocatalytic inks , and spray drying processes . His methodological expertise includes adaptive finite element methods, moving mesh techniques, and mass-conservative schemes for evolving domains. The recent publications highlight a strong trend in combining cutting-edge numerical methods with complex biological and physical systems. The work spans from Bayesian inference in collective cell movement to computational models of liquid crystal defects and cell polarization. These articles reflect a consistent focus on developing and applying robust computational frameworks to interdisciplinary challenges in health technologies and industrial applications. His scientific recognition includes: Leverhulme Research Fellowship (2014–2016) for work on cell migration and chemotaxis Professor MacKenzie is actively involved in supervising PhD students and leading major research grants. He is currently a Principal Investigator on EPSRC-funded projects, including the Maths DTP 2021/22 and DTP 2224, and has previously led grants funded by CRUK, Hewlett-Packard, and Procter & Gamble. His collaborative network includes researchers from the Beatson Institute for Cancer Research, Queen’s University Belfast, and industrial partners. He is also a member of the Research in Cancer at Strathclyde (RICAS) group, contributing to the Health Technologies theme at the University’s Technology and Innovation Centre. He plays a significant role in the academic community, having organized major conferences such as the 28th Biennial Conference on Numerical Analysis and delivered invited talks at international workshops. His work contributes to UN Sustainable Development Goals through education and applied research in health and sustainable technologies.

• Nonlinear Dynamics
• Dynamical Systems
• Hamiltonian Dynamics
• +۵ مورد دیگر

Cristel CHANDRE serves as a Research Professor (Directeur de Recherche) at the French National Centre for Scientific Research (CNRS), based at the Institute of Mathematics of Marseille (I2M UMR7373). With expertise spanning mathematical physics and nonlinear dynamics, CHANDRE contributes significantly to theoretical frameworks in Hamiltonian systems and chaos theory, with applications across physics domains. CHANDRE's research focuses on nonlinear dynamics and dynamical systems , with particular emphasis on Hamiltonian dynamics and chaos . Their work bridges theoretical mathematics with practical applications in atomic physics, molecular physics, and plasma physics . Key research areas include: Hamiltonian formulations for complex physical systems Chaos theory and nonlinear phenomena in quantum systems Mathematical modeling of plasma dynamics Computational approaches to molecular dynamics Fluid reductions of kinetic equations Development of numerical methods for dynamical systems Analysis of CHANDRE's recent publications reveals a consistent focus on Hamiltonian systems and their applications across physics domains. Their work demonstrates increasing integration of computational methods with theoretical frameworks, particularly in quantum dynamics and plasma physics. The research shows strong interdisciplinary connections between mathematics, physics, and computational science, with notable contributions to understanding fundamental physical processes from the molecular to plasma scales. Professional recognition includes: Editor-In-Chief of Communications in Nonlinear Science and Numerical Simulation (Elsevier) Expert-evaluator for the European Commission (European Research Executive Agency and European Education and Culture Executive Agency) CHANDRE maintains active research collaborations across international boundaries, serving as an expert evaluator for European Union research programs including Marie Sklodowska Curie actions and Erasmus Mundus programs. Their GitHub repositories (including pyHamSys and Polarimetry) demonstrate commitment to open science and computational reproducibility in mathematical physics, with tools that enable other researchers to apply advanced mathematical techniques to complex physical problems. Through the Institute of Mathematics of Marseille, CHANDRE leads research initiatives that develop computational frameworks for Hamiltonian systems, plasma dynamics, and molecular physics. Their work on pyHamSys (a Python package for Hamiltonian systems) and Polarimetry (for analyzing polarization-resolved microscopy data) provides valuable resources for the scientific community, facilitating both theoretical exploration and experimental analysis in nonlinear science.

Shaojie Tangمشاهده پروفایل

استاد

• Machine Learning
• Responsible AI
• Combinatorial Optimization
• +۶ مورد دیگر

Shaojie Tang is a Professor in the Management Science and Systems department at the School of Management, University at Buffalo. He serves as the Associate Director of the AI and Management Science Institute for Artificial Intelligence and Data Science. His research focuses on Machine Learning, Responsible AI, and Combinatorial Optimization, with applications in business and data science. PhD from Illinois Institute of Technology His work spans interdisciplinary domains including Federated Learning, Recommender Systems, and Optimization techniques. Key subfields involve Personalized AI, Tensor Completion, and Algorithm Design for collaborative systems. Recent publications from 2025 and 2024 highlight his leadership in Federated Learning, Neural Network Decoupling, and Strategic AI Deployment. Trends include balancing personalization with collaboration, enhancing model robustness, and cross-modal adaptation in distributed environments. Professional affiliations include IEEE, ACM, and INFORMS. He advises graduate students in theoretical and applied AI research, though specific advisees are not listed publicly. His research teams operate under the Institute for Artificial Intelligence and Data Science, advancing scalable solutions for dynamic business challenges.

Christine Guentherمشاهده پروفایل

استاد

• Geometric Analysis
• Ricci Flow
• Renormalization Group Flow
• +۴ مورد دیگر

Christine Guenther is a Distinguished University Professor in the Department of Mathematics at Pacific University. She teaches a wide range of undergraduate mathematics courses, including Calculus I–III, Discrete Mathematics, Ordinary and Partial Differential Equations, Probability, Higher Geometry, and Introduction to Analysis. Pacific University emphasizes direct faculty-student interaction, and she is deeply involved in undergraduate education. Research Interests: Her work lies at the intersection of differential geometry, geometric analysis, and mathematical physics. She specializes in geometric flows such as Ricci flow and renormalization group flows, focusing on stability, convergence, and long-term behavior. Her research connects rigorous mathematical analysis with physical theories, particularly in quantum field theory contexts. Recent Publication Trends: Her recent publications (2020–2024) reflect sustained expertise in Ricci flow on manifolds with bounded geometry, sectoriality of Laplacians on asymptotically hyperbolic spaces, and the mathematical structure of the RG-2 flow. Earlier works include foundational contributions to the theory of geometric flows through co-authored monographs in the AMS Graduate Studies in Mathematics series. Collaborators: James Isenberg Eric Bahuaud Bennett Chow Rafe Mazzeo Tatiana Oliynyk K. Gimre M. Langford Advising and Grants: While specific students and grants are not listed, her long history of collaborative research and mentorship in geometric analysis suggests active involvement in guiding emerging mathematicians. She has co-authored numerous significant works, indicating leadership in research teams and likely success in securing academic support. Labs and Research Teams: Although no formal lab is mentioned, she is part of a well-established collaborative research group working on geometric flows, particularly with colleagues from the University of Oregon and other institutions. This group has produced comprehensive treatises on Ricci flow and related topics.

Laurent O. Jayمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Ordinary Differential Equations
• +۱۶ مورد دیگر

Laurent O. Jay is a Professor in the Department of Mathematics at The University of Iowa, where he also serves as Director of the Interdisciplinary Graduate PhD Program in Applied Mathematical and Computational Sciences (AMCS). He is a faculty member of the College of Liberal Arts and Sciences, with research affiliations in numerical analysis and dynamical systems and differential equations. Department: Department of Mathematics School: College of Liberal Arts and Sciences University: The University of Iowa Position: Professor and Director of AMCS PhD Program His research focuses on numerical methods for differential equations, particularly Runge-Kutta and symplectic methods for ODEs and DAEs, with applications in mechanics and computational science. He has been actively publishing in top journals such as SIAM Journal on Numerical Analysis, BIT Numerical Mathematics, and Numerical Algorithms, with recent work on predictors for implicit methods, convergence analysis, and specialized integrators for constrained systems. His publications reveal a strong emphasis on structure-preserving algorithms, stiffness, and efficient implementations. Laurent O. Jay has received the Leslie Fox Prize in Numerical Analysis (Second Prize, 1995), a prestigious early-career award in the field. His research has been supported by the National Science Foundation under multiple grants. He advises several PhD students in the AMCS program and has mentored numerous former students who have pursued academic and industry careers. His teaching includes graduate courses such as Ordinary Differential Equations I and Introduction to Numerical Methods. He is also a proud member of the Runge-Kutta Club, reflecting his deep expertise in numerical integration methods.

Sriram Pemmarajuمشاهده پروفایل

استاد

• Theoretical Computer Science
• Distributed Algorithms
• Computational Epidemiology
• +۲ مورد دیگر

Professor Sriram Pemmaraju is a faculty member at the Department of Computer Science, College of Liberal Arts, The University of Iowa. He leads research in theoretical computer science and computational epidemiology , focusing on distributed graph algorithms and healthcare network analysis. Research examines resource trade-offs in distributed systems (rounds, messages, bandwidth) Co-founder of the Computational Epidemiology Group , CDC-funded MInD Healthcare collaboration Teaching: Undergraduate courses in algorithms, data structures, and discrete math; graduate courses in distributed algorithms, approximation algorithms, and computational epidemiology. Current Fall 2025 course: Computer Science I: Fundamentals . Research trends: His work bridges Distributed Systems: Spanning tree sampling, APSP optimization, ruling sets Healthcare Networks: Vaccine allocation, infection source detection, temporal cascade modeling Students: Mentored 3 current PhD advisees and 12 former PhD students now at Amazon, Google, IIT Madras, and other institutions.

• Applied Mathematics
• Numerical Analysis
• Mathematical Modeling
• +۵ مورد دیگر

Francisco Guerrero Cortina is a permanent academic faculty member at the University of Valencia, affiliated with the Faculty of Mathematics, Department of Mathematics, and the Applied Mathematics area. He is a member of the ANIMS research group, focusing on Numerical Analysis, Images, Multiresolution, and Simulation. His primary research interests include Applied Mathematics , Numerical Analysis , Mathematical Modeling , and Epidemiology , with applications in fluid mechanics, public health, and social behavior dynamics. His work often involves high-order numerical schemes, nonstandard finite differences, and analytical approximation methods such as HAM and Padé. The recent publications indicate a strong trend in developing and applying advanced numerical methods to real-world problems, particularly in fluid dynamics and epidemiological modeling . His research bridges theoretical mathematics with practical applications in engineering and social sciences. He has collaborated extensively with researchers such as Pep Mulet, Rosa Donat, and F.J. Santonja, particularly on models for substance use in Spain. No scientific awards or student advisement details are publicly listed. He holds a PhD from the University of Valencia (1999), supervised by Dr. Antonio Pich, and continues to publish actively, with recent work appearing in 2025. His email is francisco.guerrero-cortina@uv.es, confirming current institutional engagement.

Jörg-Uwe Löbusمشاهده پروفایل

مدرس ارشد

• Stochastic Analysis
• Infinite Dimensional Stochastic Calculus
• Diffusion Processes
• +۷ مورد دیگر

Jörg-Uwe Löbus is a Senior Lecturer in the Department of Mathematics at Linköping University, Sweden, within the Faculty of Science and Engineering. He is affiliated with the Division of Applied Mathematics (TIMA) and holds the Swedish Docent title in mathematics. His academic career includes long-term positions in Germany and visiting appointments in the United States. Research Interests: His work lies at the intersection of stochastic analysis and mathematical physics. He focuses on infinite-dimensional stochastic calculus, diffusion processes, particle systems, and their connections to partial differential equations. He investigates quasi-invariance of probability measures under stochastic flows, convergence of stochastic processes (including Mosco-type convergence), and particle approximations to PDEs, especially in kinetic theory such as the Boltzmann equation. Publication Trends: His recent publications (2016–2024) show a sustained focus on the interplay between stochastic processes and PDEs. Key themes include quasi-invariance under non-linear flows, analysis of Boltzmann-type equations, and infinite-dimensional diffusions. His work appears in high-impact journals such as SIAM Journal on Mathematical Analysis , Memoirs of the American Mathematical Society , and Analysis and Applications . Scientific Awards: Third prize in the International Mathematical Olympiad 1976 (Vienna, Austria) Advising and Grants: There is no publicly listed information on students advised or research grants obtained. However, his sustained research output and senior academic position suggest active involvement in research supervision and funding activities, likely within Swedish or German research councils. Labs and Research Teams: He is affiliated with the Division of Applied Mathematics (TIMA) at Linköping University, which conducts research in computational mathematics, mathematical statistics, and optimization. His work contributes to the theoretical foundations of stochastic modeling within this division.

Jonathan Dawesمشاهده پروفایل

استاد

• Applied Dynamical Systems
• Mathematical Biology
• Bifurcation Theory
• +۷ مورد دیگر

Jonathan Dawes is a Professor of Applied Mathematics in the Department of Mathematical Sciences at the University of Bath. He is currently on secondment to UK Research and Innovation (UKRI) as Deputy Executive Chair for EPSRC from February 2023 to August 2025, highlighting his leadership in research funding and science policy. His academic work bridges pure and applied mathematics with interdisciplinary applications in biology, fluid dynamics, and sustainable development. University: University of Bath School: Department of Mathematical Sciences Office: 4 West 4.12 Email: J.H.P.Dawes@bath.ac.uk Tel: +44-1225-386223 His research interests center on applied dynamical systems , with key areas including mathematical biology , bifurcation theory , pattern formation , fluid mechanics , and network analysis of socio-economic systems . He has made significant contributions to understanding oscillatory dynamics in cell fate decisions, echo state networks for time series analysis, and quantitative modeling of Sustainable Development Goal (SDG) interlinkages. His recent publications demonstrate a strong trend toward interdisciplinary research, combining mathematical modeling with real-world policy challenges, particularly in sustainability and development. His scientific awards include support from the Royal Society for undergraduate summer internships, reflecting his commitment to research training. He has supervised PhD students such as Fraser Waters and Edwin Watson-Miller , and has secured research funding for projects involving experimental fluid dynamics and mathematical modeling. His collaborations span departments and institutions, including Life Sciences at Bath, Physics at Surrey, and international partners in Brazil, Germany, and India. Dawes leads research groups and projects involving network science applied to SDGs , echo state networks , and pattern formation in biological systems . He has developed and taught advanced courses such as Topics in Applied Dynamical Systems and Bifurcation Theory and Applications , and has mentored numerous students through summer internships and reading courses. His work continues to evolve with a growing emphasis on science policy, research security, and the role of mathematics in addressing global challenges.