جستجوی استاد راهنمای دانشگاهی

• Complexity Theory
• Proof Complexity
• Computational Complexity
• +۳ مورد دیگر

Dr. Barnaby Martin is an Associate Professor in the Department of Computer Science at Durham University, part of the Algorithms and Complexity Group (ACiD). Previously, he held a lectureship at Middlesex University and undertook postdoctoral roles at Durham and Paris institutions. His research focuses on Complexity Theory, including Proof Complexity and Computational Complexity, as well as Finite Model Theory and links between logic and complexity. Current work emphasizes Constraint Satisfaction Problems (CSP), Proof Complexity, and Algorithmic Graph Theory. His recent publications explore forbidden subgraphs, edge subdivision, Steiner Forest problems, and H-free graphs. Dr. Martin’s articles often address computational challenges in graph theory and algorithm design, with a recurring theme of analyzing tractability and hardness in specific graph classes. He has collaborated extensively with researchers like Daniel Paulusma, Siani Smith, and others on topics ranging from graph coloring to quantified constraint satisfaction problems. He supervises postgraduate students Tala Eagling-Vose and Yiming Qiu. His work has been published in venues such as Algorithmica , SIAM Journal on Computing , and ACM Transactions on Computational Logic . His research bridges theoretical computer science and discrete mathematics, contributing to foundational understanding of computational limits in structured domains.

Herman Bruyninckxمشاهده پروفایل

استاد

• Robotics
• Mechatronics
• Bayesian Sensor Processing
• +۱۰ مورد دیگر

Herman Bruyninckx is a Professor at the Faculty of Engineering Sciences , KU Leuven , where he also serves as Vice-Chair of the Department of Mechanical Engineering and head of the Robotics, Automation and Mechatronics (RAM) subdivision. His research focuses on integrating formally represented domain knowledge into robotic systems for real-time, self-explanatory, and certifiable control. He advocates for open standards and software engineering practices in robotics, with a career-long emphasis on knowledge-driven robotic systems over data-driven approaches.

Bojan Moharمشاهده پروفایل

استاد

• Topological Graph Theory
• Graph Minors
• Graph Coloring
• +۳ مورد دیگر

Bojan Mohar is a Professor in the Department of Mathematics at Simon Fraser University (SFU), within the Faculty of Science. He holds a Ph.D. in Mathematics from the University of Ljubljana, Slovenia (1986). His research focuses on advanced topics in graph theory, including topological graph theory (graphs on surfaces, planar graphs), graph minors, graph coloring (list coloring, edge-coloring, nowhere-zero flows), algebraic graph theory (Laplace eigenvalues, spectral analysis), and graph algorithms. Mohar's work bridges theoretical foundations with computational methods, emphasizing interdisciplinary applications. His research interests span diverse areas such as the spectral properties of infinite graphs, graph embeddings, and combinatorial optimization. He is affiliated with the Centre for Operations Research and Decision Sciences (CORDS) at SFU. Mohar has made significant contributions to understanding graph structures, eigenvalues, and algorithm design, with a particular emphasis on topological and algebraic aspects. His recent work includes proofs of long-standing conjectures in graph theory and the development of efficient approximation algorithms for graph genus calculations. Mohar’s academic contributions are reflected in his extensive publication record, focusing on graph minors, eigenvalue analysis, and topological embeddings. He teaches courses such as MATH 345 D100: Introduction to Graph Theory (Fall 2025). No formal advising relationships or awards are explicitly listed in the provided materials, though his research impact is evident through collaborations and symposium participations like the International Symposium on Computational Geometry (SoCG).

Thomas J.R. Hughesمشاهده پروفایل

استاد

• Isogeometric Analysis
• Computational Mechanics
• Finite Element Analysis
• +۷ مورد دیگر

Thomas J.R. Hughes is the Peter O’Donnell Jr. Chair in Computational and Applied Mathematics and a Professor of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin. He is affiliated with the Oden Institute for Computational Engineering and Sciences (Oden Institute), where he leads the Computational Mechanics Group. His research focuses on computational mechanics, isogeometric analysis, and biomedical modeling. Education: B.E. and M.E. in Mechanical Engineering from Pratt Institute; M.S. in Mathematics and Ph.D. in Engineering Science from the University of California, Berkeley. Research Interests include Isogeometric Analysis (integrating CAD and FEA), stabilized numerical methods for fluid flows, patient-specific biomedical simulations, and phase-field modeling. His work spans applications in cardiovascular systems, tumor growth, and geophysical flows. Hughes has authored over 150 journal articles, with recent contributions on isogeometric analysis, fluid-structure interaction, and computational geosciences. Notable awards include the von Neumann Medal (USACM), Gauss-Newton Medal (IACM), and Worcester Reed Warner Medal (ASME). He is a member of the National Academy of Engineering. His group advises students and postdocs in computational methods and collaborates with centers like the Oden Institute’s Computational Visualization Center. Current projects include isogeometric analysis, nanoparticle drug delivery, and ice sheet modeling.

Marcel Campenمشاهده پروفایل

استاد

• Computer Graphics
• Geometry Processing
• Surface Parametrization
• +۴ مورد دیگر

Marcel Campen is a Professor at Osnabrück University specializing in Computer Graphics and Geometry Processing. His research focuses on surface parametrization, quad mesh generation, and computational geometry. He has made significant contributions to the field of geometry processing, particularly in developing algorithms for quad layout generation, surface mapping, and mesh repair. His research interests span Computer Graphics, Geometry Processing, Surface Parametrization, Quad Mesh Generation, 3D Modeling, and Mesh Repair. Campen's work addresses fundamental challenges in representing and processing complex geometric shapes, with applications ranging from animation and simulation to reverse engineering and meshing. His research often combines theoretical insights with practical implementations, resulting in algorithms that are both mathematically sound and computationally efficient. Campen's publications demonstrate a strong focus on developing robust and efficient methods for geometry processing. His work on quad layout generation, parametrization techniques, and surface mapping has resulted in several award-winning papers, including Best Paper Awards at SGP 2021 and 2022. His research often bridges theoretical concepts with practical implementations, making his contributions highly influential in both academic and industrial settings. Best Paper Award (1st place) at SGP 2022 Best Paper Award at SGP 2021 Campen has made significant contributions to the field through his doctoral thesis on quad layout generation and numerous publications in top-tier conferences including SIGGRAPH, Eurographics, and SGP. His work on directional field synthesis, similarity maps, and bijective mappings has advanced the state of the art in geometry processing. He has also contributed to practical tools like libQEx for robust quad mesh extraction, demonstrating his commitment to making theoretical advances accessible to practitioners.

Aline Parreauمشاهده پروفایل

پژوهشگر

• Discrete Mathematics
• Combinatorial Optimization
• Combinatorial Game Theory
• +۳ مورد دیگر

Aline Parreau is a junior researcher at CNRS, affiliated with the GOAL team of the LIRIS laboratory at Université Claude Bernard Lyon 1. Her research focuses on discrete mathematics, combinatorial games, graph theory, and positional games. She earned her PhD in Discrete Mathematics from Université Joseph Fourier (Grenoble) in 2012, followed by postdoctoral research at the University of Liège. She coordinates the ANR project P-GASE, studying combinatorial and algorithmic aspects of positional games on graphs. PhD: Identification problems in graphs (2012), supervised by Sylvain Gravier. Postdoctoral work: Discrete Mathematics at University of Liège (2013–2014). Her teaching includes operational research and computer science courses at various institutions, including Lyon 1 University and Lille 1 University. She is actively involved in scientific mediation through initiatives like Maths à modeler and MATh.en.JEANS, promoting mathematical research to the public. Key activities include advising PhD and MSc students, organizing seminars, and contributing to research on graph theory, combinatorial games, and algorithmic optimization.

Robin Thomasمشاهده پروفایل

استاد

• Graph Theory
• Combinatorics
• Combinatorial Optimization
• +۴ مورد دیگر

Robin Thomas was a Regents' Professor at the School of Mathematics , Georgia Institute of Technology . He specialized in Graph Theory , Combinatorics , and Algorithms , with notable contributions to the Four Color Theorem and its generalizations. His research explored graph minors, topological graph theory, and efficient algorithms. Research interests included Hamiltonian graphs on surfaces, embeddings of graphs, and structural graph theory. He collaborated extensively on projects funded by the National Science Foundation . Professional service: Editor, Journal of Combinatorial Theory Series B Editor, Journal of Graph Theory Editor, Graphs and Combinatorics Editor, Advances in Combinatorics Advising & Legacy: Supervised 19 doctoral students, many of whom hold academic or industry positions. His work on the Four Color Theorem revolutionized graph theory. Contact robintho@gmail.com for legacy inquiries.

Yakov Nekrichمشاهده پروفایل

دانشیار

• String Algorithms
• Compressed Data Structures
• Computational Geometry
• +۳ مورد دیگر

Yakov Nekrich is an Associate Professor of Computer Science at Michigan Technological University with expertise in algorithms and data structures. His research spans geometric data structures, string algorithms, and compressed data representations, bridging theoretical and applied computer science. His research interests include: Algorithm Design : Focus on efficient solutions for computational geometry and string processing. Data Structures : Optimization for dynamic and multidimensional data, including external memory implementations. Compressed Data Structures : Balancing space efficiency with fast query performance for massive datasets. Recent publications highlight advancements in: 4D dominance range reporting (SODA 2023, SoCG 2020) Colored range searching (SoCG 2020, SODA 2020) Dynamic planar point location (STOC 2021, SIAM J. Comp. 2018) Compressed index construction (SODA 2017) These works emphasize geometric algorithms, database optimization, and algorithmic complexity. Teaching at Michigan Tech since 2019, he has delivered courses in Advanced Algorithms and Introduction to Algorithms . Previously, he taught Algorithms (CS341) at University of Waterloo (2014) and Data Structures and Data Management (CS240) (2015-2016). As an active conference organizer, he has served on program committees for SPIRE (2013-2020), PODS (2015), LATIN (2016), and DCC (2020-2023), among others.

Ingrid Daubechiesمشاهده پروفایل

استاد

• Applied Mathematics
• Signal Processing
• Image Compression
• +۳ مورد دیگر

Ingrid Daubechies is a prominent mathematician and physicist known for her foundational work in wavelet theory. Born in Belgium, she earned her B.S. and Ph.D. from the Free University of Brussels. She transitioned from a physics background to applied mathematics, becoming a leading authority on wavelets while at AT&T Bell Laboratories. In 1993, she became the first woman tenured professor of mathematics at Princeton University, later joining Duke University as the James B. Duke Professor of Mathematics. Her research spans signal processing, image compression, and interdisciplinary applications in biology and art restoration. Daubechies' academic journey includes roles at Bell Labs, Princeton, and Duke, alongside extensive collaborations in computational biology and mathematics education. She has pioneered wavelet-based algorithms for data compression (JPEG 2000), developed metrics for biological morphology analysis, and contributed to art restoration techniques using mathematical imaging. Her leadership roles include presidency of the International Mathematical Union (2011–2014) and advocacy for women in mathematics. Recognized with prestigious awards like the National Academy of Sciences Award, John von Neumann Lecture Prize, and Nemmers Prize, her work bridges pure mathematics and applied sciences. She has supervised numerous research projects and authored influential texts, including Ten Lectures on Wavelets . Her legacy includes advancing computational tools for diverse fields, from medical imaging to evolutionary biology.

• Graph theory
• Combinatorics
• Algorithms

Ajit A Diwan serves as a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Bombay, where he has maintained continuous faculty membership since 1988. His work bridges theoretical computer science and discrete mathematics, with emphasis on structural graph properties and combinatorial optimization. His academic foundation includes a B.Tech from IIT Bombay (1983) and a Ph.D. from the Tata Institute of Fundamental Research Bombay (1989). These qualifications underpin his decades-long research trajectory in discrete structures. Diwan's research program focuses on graph theory, combinatorics, and algorithm design. He investigates decomposition theorems, factorization problems, and extremal properties of graphs, particularly examining planar graphs, cubic graphs, and cycle structures. His methodological approach combines combinatorial reasoning with algorithmic applications, contributing to fundamental understanding in discrete mathematics. Analysis of his 23+ publications (2000-2024) reveals persistent investigation into graph decomposition patterns, with recent work exploring modular cycle constraints (2024), clique factors in graph powers (2022), and structural properties of planar cubic graphs (2022). These contributions consistently appear in premier venues like the Journal of Graph Theory and Discrete Mathematics. Professor Diwan has mentored three Ph.D. students to completion on topics including upward planar drawings, locally connected planar graphs, and degree-constrained subgraphs. His M.Tech supervision spans five projects covering graph subdivisions, factorization in graph powers, and partitioning algorithms, demonstrating active engagement in graduate education.

• Mechanobiology
• Biomechanics
• Microvascular mechanics
• +۵ مورد دیگر

Hans Van Oosterwyck serves as a full Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Sciences. He leads the Prometheus-Mechanobiology subdivision and actively contributes to the iSi Health and LIMNI research institutes, driving interdisciplinary work at the engineering-biology interface. His research centers on cellular mechanobiology in vascular and musculoskeletal pathologies, with pioneering work in traction force microscopy and organ-on-chip systems . Key focus areas include cerebral cavernous malformations (CCM) and osteoarthritis, where he investigates how cellular forces and mechanosensitive channels drive disease progression through microfluidic models and computational biomechanics . Analysis of his 2023-2025 publications reveals a dominant trend toward 3D force measurement techniques in disease modeling, particularly using degradable hydrogels for chondrocyte studies and vessel-on-chip platforms for CCM. Over 60% of recent work targets CCM pathomechanics, emphasizing Piezo/TRPV channels and cellular force dynamics. Prof. Van Oosterwyck directs multiple FWO-funded projects including "Cerebrale caverneuze misvormingen op een chip" (2023-2026) and "De relatie tussen osteoarthritis en krachten" (2023-2027). His team develops advanced tools like the Confocal BioAFM nano-opto-mechanical platform for multiscale biological analysis. He heads the Prometheus-Mechanobiology subdivision within KU Leuven's Biomechanics unit, leveraging collaborations through iSi Health for physics-based in silico health modeling and LIMNI for micro-nano technology integration. This ecosystem enables translational research from cellular mechanics to clinical applications.

• Mathematical Methods in Signal Processing
• Data Science
• Dynamical Systems
• +۵ مورد دیگر

Nada Sissouno is a Professor of Mathematics and Didactics of Mathematics at the Faculty of Electrical Engineering, Media and Informatics at Amberg-Weiden University of Applied Sciences since November 2023. She also serves as Vice Dean and Co-head of the Competence Center Grundlagen (CCG). Additionally, she maintains a position as a guest researcher at the Research Group: Applied and Numerical Analysis and Optimization and Data Analysis at the Technical University of Munich (TUM). Her educational background includes a Doctorate in Mathematics (Dr. rer. nat.) from TU Darmstadt (2007-2011) and a Diplom in Mathematics with a minor in psychology from TU Darmstadt (2000-2007). She has completed further education as a Diversity Manager in 2021 and holds certificates in teaching in higher education from the Bavarian Universities (2014-2016). Professor Sissouno's research focuses on mathematical methods in signal and image processing, data science, dynamical systems, numerical simulation, and approximation theory. Her work particularly emphasizes spline functions on domains, wavelets and frames, and evidence-based development of teaching methodologies. Her recent publications demonstrate strong expertise in mathematical imaging, phase retrieval problems, and approximation theory, with applications spanning ptychographic imaging, variational inpainting methods, and structural sparsity in multiple measurements. Her collaborative research bridges theoretical mathematics with practical applications in signal processing and image analysis, with a particular focus on developing robust numerical algorithms for complex data analysis problems. She has published in prestigious journals including Advances in Computational Mathematics, Journal of Fourier Analysis and Applications, IEEE Transactions on Signal Processing, and Inverse Problems. Referentin für Talentmanagement & Diversity at TUM (2022-2023) Deputy spokesperson of Research Associates' Council of the TUM (2019-2023) Gender equality officer of Department of Mathematics (2019-2022) Professor Sissouno teaches mathematics courses for engineering and computer science students, with a focus on making mathematical concepts accessible and relevant to practical applications. She has been involved in teacher training and the evidence-based development of teaching methodologies, demonstrating her commitment to both research excellence and educational innovation.

Martin Fedaمشاهده پروفایل

پژوهشگر

• Radiosity
• Photorealistic Image Synthesis
• Parallel Graphics Algorithms
• +۱ مورد دیگر

Martin Feda is an Associated Researcher at the Institute of Computer Graphics, Vienna University of Technology, where he previously served as Assistant Professor. His research focuses on advancing radiosity methods for photorealistic image synthesis, with significant contributions to algorithmic efficiency and visual quality in global illumination rendering. Feda's primary research interests include radiosity, photorealistic image synthesis, and parallel graphics algorithms. He has pioneered techniques for stochastic radiosity, progressive refinement, and parallel implementations to accelerate computation. Key innovations involve hierarchical subdivision algorithms, methods for reducing shadow leaks without explicit meshing, improvements to intermediate radiosity images through directional light, and overshooting techniques to speed up progressive radiosity. His work consistently bridges theoretical advancements with practical applications for handling highly complex scenes. Analysis of his 1991-1997 publication record reveals a clear evolution in radiosity research: early work established parallel implementations on transputers and foundational radiosity algorithms, while later contributions developed sophisticated stochastic and hierarchical methods. The trajectory shows increasing emphasis on Monte Carlo techniques and computational optimizations to achieve greater efficiency and visual fidelity in global illumination, with consistent publication in top-tier graphics venues like Eurographics and Computer Graphics Forum.

Jiří Kosinkaمشاهده پروفایل

دانشیار

• Computer Graphics
• Geometric Modelling
• Computer Aided Design
• +۳ مورد دیگر

Jiří Kosinka is an Associate Professor (Tenure Track) at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Bernoulli Institute. He leads the Scientific Visualization and Computer Graphics research group. His roles include coordinating and lecturing in Computer Graphics and Advanced Computer Graphics courses, as well as serving as an editor for journals like Computer-Aided Design and Graphical Models . Academic Position: Associate Professor, Tenure Track Affiliations: Bernoulli Institute, Faculty of Science and Engineering Research Group: Scientific Visualization and Computer Graphics Education PhD in Mathematics (2006), Charles University, Prague MSc in Mathematics (2002), Charles University, Prague Research Interests Kosinka's work focuses on geometric modeling, computer graphics, and image processing. He develops algorithms for subdivision surfaces, numerical quadrature, and fluid simulation, with applications in surgical planning and medical visualization. His research bridges theoretical contributions with practical implementations in CAD systems and real-time rendering. Conference Contributions Co-organizer of DGMM 2025 (Discrete Geometry and Mathematical Morphology) in Groningen Program Chair for AniNex 2022/2023 (Next Generation Computer Animation) IPC member for SGP, SPM, Pacific Graphics, and other key conferences Editorial Roles He serves on the editorial boards of Computer-Aided Design and Graphical Models , and has guest-edited special issues in Computer Aided Geometric Design . Labs & Teams He leads the Scientific Visualization and Computer Graphics group, collaborating on projects like BoneStory (3D surgical planning) and fluid dynamics simulations. His lab focuses on advancing geometric algorithms and their real-world applications.

• Computer Graphics
• Computer Animation
• Virtual Heritage
• +۶ مورد دیگر

Dr. Selma Rizvić is a Professor at the Department of Computer Science, Faculty of Electrical Engineering, University of Sarajevo. She leads the Sarajevo Graphics Group Laboratory and is a key figure in digital heritage projects. Her research focuses on computer graphics, virtual reality (VR), interactive storytelling, and cultural heritage preservation. Rizvić coordinates major EU-funded initiatives like SHELeadersVR and i-MARECULTURE, emphasizing VR's role in historical narratives and education. Affiliations: University of Sarajevo, Sarajevo Graphics Group, Digi.BA Association EU Projects: Creative Europe (SHELeadersVR, StecakLand), Horizon 2020 (i-MARECULTURE), FP7 (V-MusT.net) Her work combines VR/AR technologies with historical storytelling, exemplified by projects like the Virtual Museum of Genocide against Bosniaks and Roman Heritage digitization. Rizvić has authored books on digital cultural heritage and serves as an associate editor for journals like ACM's JOCCH. She actively participates in conferences, such as GCH and CESCG, and promotes Balkan digital heritage through immersive exhibitions. Notable contributions include integrating VR into theater (StecakLand play), underwater heritage visualization (Baiae), and school anti-bullying systems. Her technical expertise spans 3D modeling, procedural content generation, and user experience design in cultural contexts.