جستجوی استاد راهنمای دانشگاهی

Lina von Sydowمشاهده پروفایل

استاد

• Computational Science
• Computational Finance
• Ice Sheet Modeling
• +۲ مورد دیگر

Lina von Sydow is a Professor in Computational Science at Uppsala University's Department of Information Technology. She serves as Section Dean for the Mathematical-Computer Science Section since July 2023. Her academic journey includes becoming an Associate Professor in 2000, Senior Lecturer since 1997, and leading the Department of Information Technology from 2018 to 2023. PhD in Domain Decomposition Methods (1995, Uppsala University) Postdoctoral Fellow at Oxford University (1996-1997) Her research spans computational science with dual focuses on Computational Finance and Ice Sheet Modeling . In finance, she develops numerical methods for option pricing using PDEs, radial basis functions, and stochastic volatility models. In climate science, she contributes to ice sheet dynamics through full Stokes models and adaptive time-stepping approaches, particularly in simulating grounding line migration. Recent publications (2025) address gender disparities in IT education, including comparative analysis of admission trends and intervention studies to boost female enrollment. Earlier works (2020-2015) focus on high-order finite difference methods for financial derivatives, BENCHOP benchmarking projects, and preconditioning techniques for PDEs. Scientific awards include Excellent Teacher (2013) She actively collaborates on educational reforms, co-authoring studies like Gender-aware course reform in Scientific Computing (2013). Her leadership roles include Head of Department (2018-2023) and Section Dean (2023-present), influencing academic governance and interdisciplinary research. Labs and teams: Works with Uppsala University's Computational Science group, Elmer/ICE project collaborators (e.g., Per Lötstedt, Gong Cheng), and international partners in numerical finance and climate modeling.

• Algebraic Geometry
• Complex Geometry
• Mathematical Physics
• +۳ مورد دیگر

Robert Berman is a Professor in the Department of Mathematical Sciences at the University of Gothenburg. He is affiliated with the Algebra and Geometry division and can be reached at robertb@chalmers.se. His research focuses on advanced areas of mathematics including algebraic geometry, complex geometry, and geometric analysis, with a particular emphasis on Kähler metrics, Monge-Ampère equations, and probabilistic methods in geometry. His work bridges pure mathematics with applications in theoretical physics and numerical analysis. Key research themes include the study of K-stability in algebraic geometry, the interplay between statistical mechanics and geometric structures, and the analysis of discretized Monge-Ampère equations in optimal transport. Recent publications (2023–2025) address Hölder inequalities in Kähler geometry, Manin-Peyre conjectures, and probabilistic approaches to Kähler-Einstein metrics. Berman collaborates extensively with leading researchers such as Bo Berndtsson and Sébastien Boucksom. His contributions span foundational results in geometric analysis and their implications for birational geometry and arithmetic geometry. No awards or grants are explicitly listed in the provided materials.

Klas Markströmمشاهده پروفایل

استاد

• Combinatorics
• Graph Theory
• Hypergraphs
• +۳ مورد دیگر

Klas Markström is a Professor at the Department of Mathematics and Mathematical Statistics, Umeå University. He holds academic qualifications as a Docent and a Recognised University Teacher in Mathematics. His primary research interests include combinatorics, graph theory, hypergraphs, computational combinatorics, linear algebra, and mathematical physics. He utilizes Swedish supercomputing resources, including those at HPC2N, for his research. Markström has advised PhD students Lan Anh Pham (2019) and Joel Larsson (2018). His postdoctoral collaborators include Jakub Sliacan, Fei Song, and Victor Falgas-Ravry. His work spans theoretical contributions to combinatorics, computational methods, and applications in statistical mechanics and algorithm design. Notable research trends include explorations of Condorcet domains in social choice theory, extremal graph/hypergraph problems, and algorithmic solutions for SAT problems. His software contributions include the Umsat SAT-solver and GrafPack, a Mathematica package for graph theory. He has published extensively on topics such as Turán hypergraphs, covering designs, and computational techniques for graph enumeration. Collaborations involve interdisciplinary projects with physicists and computer scientists, reflecting his engagement with both pure and applied mathematics. His research often bridges combinatorial theory with computational experimentation, yielding impactful results in discrete mathematics and beyond.

• Dynamical Systems
• Ecological Modeling
• Epidemiology
• +۳ مورد دیگر

Torsten Lindström is a faculty member at Linnaeus University, affiliated with the Faculty of Technology and the Department of Mathematics . His research focuses on qualitative analysis of dynamical systems with applications to ecology and epidemiology , encompassing differential equations , discrete-time models , and stochastic processes . He is actively involved in the International Center for Mathematical Modeling (ICMM) and the Stochastic Analysis and Stochastic Processes research group. His research spans ecological modeling, predator-prey dynamics, and mathematical education. He has authored a textbook on Linear Algebra and contributes to Ordinary Differential Equations Dynamical Systems Teacher education in Geometry courses. Notably, he is the editor of a special volume on mathematical models in biology. His recent publications analyze stochastic disease spread , limit cycles , and stability theory , reflecting interdisciplinary work between mathematics, ecology, and education. Collaborations with institutions like the University of Oslo and SpringerLink highlight his international engagement. Teaching materials, including recorded lectures on Linear Algebra and Dynamical Systems, are publicly accessible.

• Quantitative Finance
• Credit Risk
• Financial Engineering
• +۳ مورد دیگر

Roles and Affiliations: Alexander Herbertsson is a Senior Lecturer in Statistics and Quantitative Finance at the University of Gothenburg, affiliated with the CFF-Centre for Finance. He is based in the Department of Economics with Statistics, located at Vasagatan 1, Gothenburg. His work focuses on financial risk management, credit risk modeling, and quantitative finance methodologies. Education: Ph.D. in Economics: Quantitative Finance (2007), University of Gothenburg Licentiate of Engineering in Industrial Mathematics (2005), Chalmers University of Technology M.Sc. in Engineering Physics (Applied Mathematics specialty) (2001), Chalmers University of Technology Research Interests: Herbertsson's research emphasizes applied financial mathematics and statistical methods in finance. Key areas include credit risk modeling (default contagion, systemic risks), financial engineering, and the development of dynamic models for portfolio credit risk. His work often integrates Markov chain models, phase-type distributions, and stochastic processes to analyze dependency structures and pricing of credit derivatives. Recent studies explore saddlepoint approximations for portfolio risk analysis and risk management under exogenous shocks. Teaching: He teaches advanced courses in credit risk modeling, quantitative finance, and applied probability theory, emphasizing practical applications in risk management and financial markets. Grants and Labs: While specific grants are not detailed in the text, his affiliation with the CFF-Centre for Finance suggests involvement in collaborative financial research projects. His work often addresses real-world applications of theoretical models in systemic risk and portfolio hedging.

Zhenxia Liuمشاهده پروفایل

دانشیار

• Mathematical Statistics
• Probability Theory
• Large Deviations
• +۳ مورد دیگر

Zhenxia Liu is an Associate Professor in the Department of Mathematics at Linköping University, Sweden, affiliated with the Division of Applied Mathematics (TIMA). Her work contributes to theoretical and applied probability, with a focus on stochastic processes and statistical modeling. Her research interests lie at the intersection of mathematical statistics and probability theory. Key areas include large deviations , longest runs in Markov chains , and Monte Carlo methods . These topics are central to understanding rare events, sequential dependencies, and numerical estimation techniques in complex systems. The recent publications demonstrate a consistent focus on probabilistic analysis of dependent structures, particularly through Markov models. Her work combines theoretical rigor with applications in computational statistics, showing trends toward improving bounds and simulation efficiency in stochastic modeling. Mathematical Statistics Probability Theory Large Deviations Markov Chains Monte Carlo Methods Computational Mathematics Zhenxia Liu has actively contributed to high-quality journals such as Statistics and Probability Letters , Results in Applied Mathematics , and Probability and Mathematical Statistics . While no formal advising or grant information is available in the provided text, her collaborative publications suggest engagement in research networks within applied mathematics. She is part of the research environment in Applied Mathematics at Linköping University, which focuses on computational mathematics, optimization, and mathematical modeling across science and engineering disciplines.

Boualem Djehicheمشاهده پروفایل

استاد

• Stochastic Analysis
• Stochastic Control
• Insurance Mathematics
• +۸ مورد دیگر

Boualem Djehiche is a Professor of Mathematical Statistics at the Department of Mathematics, KTH Royal Institute of Technology. He is affiliated with the Digital Futures Faculty and the SCI School at KTH. His research focuses on Stochastic Analysis, including Stochastic Control, Insurance Mathematics, Mathematical Finance, and Game Theory. Djehiche holds editorial roles in journals such as Scandinavian Actuarial Journal and Finance and Stochastics . Education details are not explicitly stated in the provided texts. His teaching responsibilities include courses like Game Theory, Probability Theory, and Financial Mathematics. He advises students in these areas, though explicit student names are not listed. His research explores advanced topics such as mean-field games, time-inconsistent optimal control, and applications in finance and economics. Recent publications address topics like zero-sum Dynkin games, generative AI outcomes as Nash equilibria, and commodity futures pricing with regime switching. Research Interests: Stochastic Control, Insurance Mathematics, Mathematical Finance, Mean-Field Games, System Identification. Editorial Duties: Editor-in-Chief of Scandinavian Actuarial Journal , Associate Editor of Finance and Stochastics , and roles in multiple other journals. Grants & Collaborations: Collaborations include work on disability insurance modeling, credit scoring, and energy market dynamics via mean-field-type games. Labs/Teams: Involved in cross-disciplinary initiatives like the Digital Futures research center, focusing on digital technologies and societal challenges.

Reza Sirjaniمشاهده پروفایل

مدرس ارشد

• Energy Systems Optimization
• Renewable Energy Integration
• Power Electronics
• +۹ مورد دیگر

Reza Sirjani is a Senior Lecturer in Electrical Engineering at Karlstad University. He has over 15 years of research experience in energy systems optimization, renewable energy, and power electronics. His academic journey includes roles at Cyprus International University (2013-2017) and Eastern Mediterranean University (2017-2022), where he became an Associate Professor and served as Vice Chair of the Department of Electrical and Electronics Engineering (2020-2022). Education: BSc in Electrical Engineering (Power Systems) from Khajeh Nasir Toosi University of Technology, Iran (2006) MSc in Electrical Engineering (Power Systems) from Tehran Science and Research University (2008) PhD in Electrical Engineering from National University of Malaysia (2013) Research interests include renewable energy integration, optimization techniques in energy systems, power electronics, FACTS devices, and smart grids. His work addresses challenges in power quality, energy storage systems, and distributed generation. Current projects: GränsENERGI (2025-2028): Innovative solutions for future energy supply LOKEN (2024-2027): Local Energy Management in Värmland Riskville power system expansion (2023-2024) Teaching: Courses include Electrical Power Systems Technology, Power Electronics, Electric Machines, and Renewable Energy Integration. Collaborations include Glava Energy Center, CSR, and Clear River Racing. Publications: Over 40 peer-reviewed articles focusing on optimization algorithms, energy storage, and renewable integration. Supervised 18 Master/PhD students.

• Complex Analysis
• Probability Theory
• Mathematical Physics
• +۹ مورد دیگر

Fredrik Viklund is a Professor at the Department of Mathematics, KTH Royal Institute of Technology. He holds the Wallenberg Scholar title and receives research funding from the Swedish Research Council (VR) and the Gustafson Foundation. His research focuses on the intersection of complex analysis, probability, and mathematical physics, with applications to computer science and applied mathematics. PhD from KTH Simons Fellow and J.F. Ritt Assistant Professor at Columbia University Associate Professor at Uppsala University Research interests include: Schramm-Loewner evolution (SLE) curves Critical lattice models Laplacian growth and aggregation Conformal field theory Teichmüller theory Gaussian fields Recent publications focus on Coulomb gases, Loewner energy, Hele-Shaw flows, and lattice Yang-Mills theories. Notably, his work explores the interplay between Loewner chains and Dirichlet energies. Scientific roles: Editorial Board: Arkiv för Matematik and Analysis and Mathematical Physics Scientific Council for Natural and Engineering Sciences, Swedish Research Council (VR) Member of the Random Matrix Theory and Random Geometry (RMRG) research group Advising: Supervises PhD students and collaborates with postdocs. Organizes the KTH Probability and Mathematical Physics Seminar.

Lars Erik Perssonمشاهده پروفایل

دانشگاهی

• Mathematics
• Homogenization Theory
• Functional Analysis
• +۴ مورد دیگر

Lars Erik Persson is a Senior Professor at Karlstad University and part-time Professor at UiT The Arctic University of Norway. He holds honorary professorships at Eurasian National University and Uppsala University (Emeritus). His research focuses on Homogenization Theory, Inequalities, Functional Analysis, and Partial Differential Equations, with significant contributions to Mathematics Education and Engineering Mathematics. Persson has supervised 71 PhD students and 14 Licentiate students, a record in Nordic countries. **Education**: PhD in Mathematics (1974), Docent degree (1987). **Awards**: Orlicz Medal (2003), Louise Petren Award (2002), Ångpanneföreningens Award (2008), and international recognition from Kazakhstan and the Czech Mathematical Society. **Publications**: Over 320 scientific works, including 15 books and collaborations with 170+ researchers globally. **Research Interests**: Homogenization Theory, Inequalities, Functional Analysis, PDEs, and their applications. His work bridges pure and applied mathematics, influencing engineering and education. **Current Roles**: Active in international conferences, doctoral supervision, and co-editing journals like *Mathematical Inequalities & Applications*. **Awards & Honors**: Extensive list includes medals for contributions to female mathematicians, societal knowledge transfer, and interdisciplinary research. **Labs/Teams**: Founded the Centre of Applied Mathematics at Luleå University and directed the Interdisciplinary Mathematics Centre at Uppsala.

• Dynamical systems
• Discrete mathematics
• Machine learning
• +۸ مورد دیگر

Jonas Nordqvist is an Assistant Professor at the Department of Mathematics, Faculty of Technology, Linnaeus University. His research spans dynamical systems , discrete mathematics , and machine learning , with a focus on reinforcement learning and interdisciplinary applications.

Timo Vilkasمشاهده پروفایل

مدرس ارشد

• Probability Theory and Statistics
• Interacting Particle Systems
• Finite Graphs
• +۲ مورد دیگر

Timo Vilkas is a Senior Lecturer at the Department of Statistics, Lund University. His research focuses on probability theory and stochastic processes on discrete structures. Key Research Areas: Random walks, finite/infinite graphs, interacting particle systems, branching processes Recent publications analyze probabilistic dynamics on lattices and trees, including water transport on finite graphs (2025), Maker-Breaker games on Galton-Watson trees (2024), and competitive processes driven by branching random walks (2023). His work combines combinatorial probability with graph-theoretic applications. The averaging process on infinite graphs (2024) and left-continuous random walks on Z (2024) highlight his technical expertise in discrete stochastic systems. Research trends show emphasis on structural properties of graphs and probabilistic modeling of competitive/cooperative processes.

Johan Håstadمشاهده پروفایل

استاد

• Theoretical Computer Science
• Computational Complexity
• Circuit Complexity
• +۳ مورد دیگر

Johan Håstad is a Professor at the Department of Mathematics, School of Engineering Sciences, KTH Royal Institute of Technology. His research focuses on theoretical computer science, particularly algorithms, computational complexity, approximation algorithms, and cryptography. He is funded by the Knut and Alice Wallenberg Foundation through project grants and the Wallenberg AI, Autonomous Systems and Software Program (WASP). External Funding: Knut and Alice Wallenberg Foundation, WASP Editorial Roles: Theory of Computing, TheoretiCS Professional Activities: Cyber Defense Center, Royal Swedish Academy of Sciences (former chairman) Research Interests : • Algorithms and Complexity • Circuit Complexity • Approximation Algorithms • Quantum Computing and Cryptography Scientific Awards : Knut and Alice Wallenberg Foundation Support Labs and Teams : • Involved in KTH's Cyber Defense Center • Editor for key journals in theoretical computer science

Niki Matinradمشاهده پروفایل

استادیار

• Emergency Response Logistics
• Health Care Logistics
• Quantitative Logistics
• +۵ مورد دیگر

Niki Matinrad is an Assistant Professor at Linköping University, affiliated with the Communications and Transport Systems (KTS) division within the Department of Science and Technology (ITN). Their research focuses on emergency response and healthcare logistics, emphasizing optimization of volunteer networks and resource allocation in crisis scenarios. Collaborating closely with the rescue and healthcare sectors, their work integrates operations research and systems analysis to enhance disaster preparedness and response efficiency. Research interests include volunteer center localization, unmanned aerial systems (UAS) in search and rescue, sustainable supply chain design for crisis management, and predictive modeling for emergency medical service demand. Niki is part of the Center for Advanced Research in Emergency Response (CARER) and contributes to the Quantitative Logistics (KL) research group. Recent publications highlight innovations in rural emergency volunteer networks, UAS dispatch strategies from maritime platforms, and optimal task assignment algorithms for cardiac arrest response. Their interdisciplinary approach bridges technical, organizational, and socio-cultural dimensions of crisis management. As a member of the Junior Faculty network at Linköping University, Niki actively engages in advancing early-career research leadership while maintaining strong ties to industry and governmental stakeholders in emergency logistics and transport systems.

Carl Johan Casselgrenمشاهده پروفایل

استاد

• Discrete Mathematics
• Graph Theory
• Graph Coloring
• +۴ مورد دیگر

Carl Johan Casselgren is a Professor and Head of the Division of Algebra, Geometry and Discrete Mathematics (ALGD) at the Department of Mathematics, Linköping University. He is actively engaged in research and teaching in discrete mathematics and is a core member of the graph theory research group at the university. Institution: Linköping University Department: Department of Mathematics (MAI) Division: Algebra, Geometry and Discrete Mathematics (ALGD) Role: Professor and Head of Division His research focuses on discrete mathematics, particularly graph theory, with emphasis on graph coloring, structural properties of graphs, and combinatorial optimization. He investigates problems such as edge colorings, list colorings, and the coloring of graph products, contributing to both theoretical developments and algorithmic aspects. Recent publications (2024–2025) reveal a consistent focus on edge coloring problems, including near-interval colorings, extensions of partial colorings, and the coloring of Cartesian products and hypergraphs. These works demonstrate a deep engagement with combinatorial structures and theoretical graph problems, often involving probabilistic and structural methods. While no specific scientific awards are mentioned in the provided texts, his sustained publication record in high-quality journals such as Discrete Applied Mathematics , The Electronic Journal of Combinatorics , and Discussiones Mathematicae. Graph Theory underscores his active and respected role in the mathematical community. He collaborates with researchers from Sweden and abroad, including Mesfin Masre, Fikre B. Petros, and Petros A. Petrosyan. Although no formal advisees are listed, his leadership role and publication collaborations suggest involvement in mentoring students and junior researchers. He is part of a vibrant research division with around twenty members, contributing to a dynamic academic environment. The ALGD division conducts research in algebra, geometry, topology, dynamical systems, combinatorics, and graph theory. The graph theory group specifically focuses on classical problems with an emphasis on graph coloring and Hamiltonian graph theory, aligning closely with Casselgren’s research interests.