جستجوی استاد راهنمای دانشگاهی

• Fast graph algorithms
• Dynamic algorithms
• Robust algorithms against adaptive adversaries
• +۸ مورد دیگر

Thatchaphol Saranurak is an Assistant Professor in the Computer Science and Engineering Division at the University of Michigan, College of Engineering. He holds a Ph.D. in Computer Science from KTH Royal Institute of Technology (2018), advised by Danupon Nanongkai, and was previously a Research Assistant Professor at the Toyota Technological Institute at Chicago (2018–2020). His research lies at the intersection of theoretical computer science and algorithm design, with primary interests in fast graph algorithms , dynamic algorithms , robust algorithms against adaptive adversaries , and combinatorial optimization . His work has significantly advanced the state-of-the-art in areas such as maximum flow (Gomory-Hu trees), vertex and edge connectivity, dynamic matching, expander decompositions, and distributed graph algorithms. His recent publications (2023–2025) reveal a strong trend toward deterministic, near-linear time algorithms for fundamental graph problems, often leveraging expander hierarchies and dynamic sparsification techniques . He has made breakthroughs in dynamic matching, connectivity oracles, and multi-commodity flow, frequently publishing in top venues like FOCS, STOC, and SODA. He has received several prestigious honors, including: Presburger Award 2023 NSF CAREER Award Sloan Research Fellowship His advising and grant activities are supported by major funding such as the NSF CAREER Award and Sloan Fellowship, and he actively mentors and collaborates with a large network of co-authors. He is also involved in organizing academic events, such as the Dagstuhl Seminar on Graph Algorithms. He teaches courses such as Expander and Graph Algorithms and maintains an active research group focused on pushing the boundaries of algorithmic efficiency and robustness.

Cem Ersoyمشاهده پروفایل

استاد

• Wireless Networks and Mobile Applications
• Pervasive Health
• Internet of Things
• +۱۲ مورد دیگر

Cem Ersoy is a full Professor at the Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey. He serves as the Vice Director of TETAM and leads the Computer Networks Research Laboratory (NetLab), driving forward research in wireless networks, pervasive health, IoT, 5G, SDN, and emerging air computing paradigms. His research spans cutting-edge domains such as air computing, edge intelligence, wearable stress monitoring, indoor localization, and smart city neurocomputing challenges. By integrating deep reinforcement learning, probabilistic modeling, and IoT systems, his work aims to create unobtrusive, scalable, and adaptive computing solutions for real-life environments. Recent publications reveal a strong focus on air computing as a novel computation paradigm, leveraging multi-agent deep learning and simulation frameworks. Another major trend is wearable-based affect and stress monitoring , where semi-supervised learning and explainable AI reduce labeling burdens while enhancing real-life applicability. Additional work addresses edge computing orchestration , network slicing , and live video streaming optimization using SDN and reinforcement learning. Prof. Ersoy actively advises graduate researchers and leads funded projects in national and international arenas, although specific grant titles and student names are not listed in the source. His lab, NetLab, provides a collaborative environment for innovations in computer networks, IoT, and pervasive health technologies.

Julie Zhouمشاهده پروفایل

استاد

• Robust Statistics
• Optimal Design of Experiments
• Fractional Factorial Design
• +۶ مورد دیگر

Dr. Julie Zhou is a Professor in the Department of Mathematics and Statistics at the University of Victoria. Her research focuses on robust statistics and optimal design of experiments, with applications in medical, natural, and social sciences. PhD in Statistics, University of Alberta B.Sc. and M.Eng. from Nanjing University and Nanjing University of Science and Technology Her research spans robust statistical procedures , optimal design theories , and statistical computing . Recent work includes robust designs for heteroscedastic errors, multi-response regression models, and computational tools using CVX and SeDuMi. Her 15 most recent publications highlight advancements in minimax D-optimal designs , Bayesian optimization , and biomedical applications . Collaborators include researchers from the University of Alberta, Simon Fraser University, and international institutions. She has supervised over 20 graduate students and serves on editorial boards of the Canadian Journal of Statistics and Statistical Papers . Her work emphasizes cost-effective experimental designs and accurate statistical inferences.

Piotr Zwiernikمشاهده پروفایل

دانشیار

• Graphical Models
• Covariance Matrix Estimation
• Convex Analysis
• +۷ مورد دیگر

Piotr Zwiernik is a Professor Agregat in the Department of Economics and Business at Universitat Pompeu Fabra (UPF), Barcelona, and a member of the BSE Data Science Center. He is currently on leave from the Department of Statistical Sciences and the Department of Mathematics at the University of Toronto. His research bridges statistics, algebraic geometry, and machine learning, focusing on graphical models, covariance estimation, tensors, and algebraic methods in statistics. Research Interests: Graphical Models Covariance Matrix Estimation Convex Analysis Tensors Algebraic and Combinatorial Methods in Statistics Statistical Learning Theory His recent publications span high-impact journals such as the Annals of Statistics , Biometrika , and Journal of the Royal Statistical Society . The work demonstrates a consistent trend in developing mathematically rigorous frameworks for understanding dependence structures, latent variable models, and high-dimensional inference, often leveraging tools from algebraic geometry and convex optimization. Key themes include total positivity, tensor methods, and the geometry of statistical models. Scientific Recognition: Editorial Board Member, Journal of the Royal Statistical Society Series B (JRSS-B) Editorial Board Member, Biometrika Editorial Board Member, Scandinavian Journal of Statistics Editorial Board Member, Algebraic Statistics Zwiernik actively mentors students and is seeking PhD candidates with strong mathematical backgrounds at UPF and the Institute of Mathematics of UPC. He has led the development of several open-source R packages, including golazo , MTP2binary , and StructuralEM , facilitating research in graphical models and latent structures. His work is supported by a network of collaborations with leading statisticians and has significant theoretical and applied implications in data science. Laboratories and Research Groups: Statistics@UPF BSE Data Science Center

Mark M. Wildeمشاهده پروفایل

دانشیار

• Quantum Computing
• Quantum Information Theory
• Quantum Error Correction
• +۳ مورد دیگر

Dr. Mark M. Wilde is an Associate Professor in the School of Electrical and Computer Engineering at Cornell University and an Adjunct Professor in the Department of Physics and Astronomy at Louisiana State University. He holds a Ph.D. in electrical engineering from the University of Southern California. His primary research focuses on quantum information theory, quantum computing, quantum error correction, and quantum computational complexity. He has authored influential textbooks such as *Quantum Information Theory* and *Principles of Quantum Communication Theory*, widely used in graduate courses globally. Wilde’s research explores foundational aspects of quantum communication, including quantum Shannon theory, network quantum information theory, and quantum algorithms. He has contributed to advancements in quantum error correction, quantum cryptography, and thermodynamics. His work bridges theoretical insights with practical applications in quantum technologies. Notably, he has co-authored groundbreaking results on quantum channel capacities, entanglement-assisted quantum coding, and quantum hypothesis testing. Wilde has secured grants from institutions like the Simons Foundation and the National Science Foundation. His awards include the IEEE Fellow distinction and the 2018 AHP-Birkhauser Prize. He collaborates extensively, publishing over 100 peer-reviewed articles, and his research impacts fields from quantum computing to biophysics. His recent work emphasizes quantum algorithms, thermodynamic limits, and privacy-preserving quantum protocols. Education: Ph.D. in Electrical Engineering, University of Southern California (2009). Grants: Supported by NSF, Simons Foundation, and others. Labs/Teams: Leads research groups in quantum information theory and collaborates with interdisciplinary teams on quantum algorithms and applications.

Tobias Kleinمشاهده پروفایل

پژوهشگر

• Thermophysical Properties
• Energy Technology
• Molecular Dynamics Simulations
• +۳ مورد دیگر

Tobias Klein is a Group Leader at the Institute of Advanced Optical Technologies - Thermophysical Properties within the Department of Chemical and Biological Engineering (CBI) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany. His research focuses on the thermophysical characterization of working fluids in energy technology, combining conventional experiments, light scattering techniques, and molecular dynamics (MD) simulations to study equilibrium and transport properties like density, surface tension, viscosity, and diffusion coefficients. The group investigates systems relevant to energy transport and storage, including Electrolyte mixtures Hydrocarbon-gas solutions Polymer-gas solubility Condensation heat transfer in hydrocarbon mixtures Their work establishes structure-property relationships and semi-empirical equations for predicting thermophysical behavior. Recent publications highlight studies on Diffusion in electrolytes and hydrocarbons Surface tension of hydrogen carriers Condensation dynamics on structured surfaces Transport in polymer melts using dynamic light scattering (DLS) and MD simulations. The group contributes to IUPAC technical standards for diffusion coefficient definitions.

Lina Ochoa Venegasمشاهده پروفایل

استادیار

• Software Engineering
• Cloud Computing
• Software Architecture
• +۳ مورد دیگر

Lina Ochoa Venegas is an Assistant Professor in the Department of Software Engineering and Technology at Eindhoven University of Technology (TU/e), affiliated with the EAISI High Tech Systems initiative. Her research focuses on software architecture, API design, software evolution, and dependency analysis, with a particular emphasis on improving software quality, maintainability, and developer productivity. She holds a Ph.D. in Computer Science and has taught courses such as Programming, Programming for Applied Physics, and Software Evolution. Her work bridges theoretical advancements and practical applications in software engineering, including studies on breaking changes, architecture recovery, and educational technology for young learners. Her research interests span software architecture communication, API security, multi-lingual system dependencies, and the impact of breaking changes in open-source ecosystems. Notable contributions include the BreakBot tool for analyzing breaking changes and systematic reviews on harmful API uses and repair techniques. Awards: Best Teacher Award (Bachelor Data Science 2024), VERSEN PhD Award (2024). Grants & Projects: Supervision of 12 academic works and contributions to datasets on software evolution challenges. Labs & Teams: Active in TU/e’s EAISI initiative, collaborating on high-tech systems research.

Nathaniel Johnstonمشاهده پروفایل

دانشیار

• Quantum Information Theory
• Linear Algebra
• Matrix Analysis
• +۳ مورد دیگر

Nathaniel Johnston is an Associate Professor in the Department of Mathematics and Computer Science at Mount Allison University. His research focuses on quantum information theory, linear algebra, matrix analysis, and cellular automata. He is known for contributions to quantum entanglement, operator theory, and the development of the QETLAB toolbox for quantum entanglement research. Education details are not explicitly listed in the provided information. Johnston's research interests span quantum entanglement, matrix analysis, and the mathematical foundations of quantum computing. He has published extensively on topics such as quantum state characterization, tensor analysis, and cellular automata dynamics. His work often bridges abstract mathematical concepts with computational applications, as seen in his development of algorithms for quantum information processing. In his recent publications, he explores advanced techniques in quantum entanglement certification, spectral graph theory, and the application of linear algebra to quantum systems. His contributions include studies on matrix factorizations, operator norms, and the theoretical underpinnings of quantum coherence. No scientific awards are listed in the provided materials. Johnston has advised no students listed here, and no grants are mentioned. His work is primarily theoretical, with a focus on advancing mathematical frameworks in quantum information science. He is associated with the Department of Mathematics and Computer Science at Mount Allison University, contributing to both research and teaching in these fields.

Assalé Adjéمشاهده پروفایل

مدرس

• Optimization
• Dynamical Systems
• Game Theory
• +۳ مورد دیگر

Assalé Adjé is an Organic Lecturer in the Department of Logistics and Transport Management at the IUT of Perpignan, part of the University of Perpignan Via Domitia. He is affiliated with the Multidisciplinary Modeling and Simulations Laboratory (LAMPS) and teaches in the Master's program in High Performance Computing and Simulation (CHPS). His research focuses on optimization (convex/non-convex/semi-definite), discrete-time dynamical systems, game theory, and formal verification. His work bridges mathematical theory with applications in control systems, stochastic processes, and static program analysis. Publications span optimization algorithms, game theory, and formal methods, emphasizing interdisciplinary approaches to solving complex systems. Recent work includes advancements in Markov Decision Processes under uncertainty and policy iteration techniques for nonlinear systems. His contributions appear in journals like Automatica and conferences such as Hybrid Systems and Verification, Model Checking, and Abstract Interpretation (VMCAI). No scientific awards are explicitly mentioned in the provided materials. Advising and grant information is not detailed, though his research activities suggest involvement in collaborative projects. His lab affiliations include LAMPS and the Logistics department's research initiatives.

• Applied Mathematics
• Optimal Transport
• Numerical Analysis
• +۲ مورد دیگر

David Bourne is an Associate Professor at Heriot-Watt University specializing in applied mathematics and computational modelling. His research focuses on optimal transport theory with applications in materials science, atmospheric dynamics, and geometric modelling. Recent publications develop innovative methods for polycrystal microstructure modelling using Laguerre tessellations and optimal transport techniques. Applications extend to atmospheric state definitions and geophysical fluid dynamics through semi-discrete transport frameworks. Mathematical contributions include anisotropic material modelling and quantization methods. He regularly presents at international conferences on mathematical materials science and optimal transport theory, with invited lectures at LMS Durham and Münster Applied Mathematics Symposium.

Chee Khian Simمشاهده پروفایل

مدرس ارشد

• Mathematical Optimization
• Operational Research
• Supply Chain Management
• +۵ مورد دیگر

Chee Khian Sim is a Senior Lecturer at the School of Mathematics & Physics, University of Portsmouth, and a member of the Centre for Operational Research & Logistics (CORL). He specializes in mathematical optimization and its applications in operational research, with expertise in optimization algorithms, supply chain management, and inventory systems. He holds a PhD from the National University of Singapore (2005), an MSc from the University of Washington (1997), and a BSc from the National University of Singapore (1992). His research focuses on first and second-order optimization methods, including interior point algorithms for conic optimization and subgradient methods for convex/nonconvex problems. He also investigates supply chain optimization, particularly inventory management strategies. He teaches modules such as Mathematical Models, Quantitative Supply Chain Management, and Logistics Modelling. Sim has contributed to over 20 research outputs, including articles on convergence analysis of splitting methods, inventory policies, and interior point algorithms. His work has been recognized with a Fellowship (2015). He actively reviews for journals like Optimization Methods and Software and participates in international conferences. He supervises PhD students in mathematical optimization and operational research.

• Signal Processing
• Audio and Speech Processing
• Pattern Recognition
• +۳ مورد دیگر

Kris Demuynck is an Associate Professor at Ghent University's Faculty of Engineering and Architecture, Department of Electronics and Information Systems (EA06), and leads the Internet Technology and Data Science Lab. With expertise in audio/speech processing, pattern recognition, and biomedical NLP, he supervises 14 doctoral researchers and contributes to speech recognition for healthcare and low-resource languages. Current projects: Core speech technology, NeLF (Flemish speech recognition), BioLORD-2023 (biomedical semantic models) Past grants: Special Research Fund, FWO, bilateral agreements Research Interests : Speech recognition architectures combining linguistic features with neural networks Biomedical semantic representation learning using LLMs and knowledge graphs Robust speaker verification and diarization in multi-speaker environments Selected Publications (2024-2025) demonstrate advancements in audio hashing, clinical NLP, and stress biomarker detection. His 15 most recent works span speech enhancement, speaker separation, and multilingual model adaptation. Supervision : Mentored doctoral projects on time series analytics, speech intelligibility, and pathological voice analysis. Active collaborations include FWO-funded precision health initiatives and industrial research fund projects on child linguistic analysis.

• Transportation Engineering
• Civil Engineering
• Disaster Prevention
• +۳ مورد دیگر

Professor Motohiro Fujita is affiliated with Nagoya Institute of Technology, where he contributes to the Department of Civil Engineering and Department of Environmental and Urban Engineering. Holding a Doctor of Engineering from Nagoya Institute of Technology, his work bridges transportation engineering, urban planning, and disaster prevention. Doctor of Engineering (Nagoya Institute of Technology, 1990) Master of Engineering (Nagoya Institute of Technology, 1985) His research focuses on transportation demand forecasting, traffic congestion analysis, and engineering education integration. Notable projects include: Developing time-of-day Origin-Destination (OD) estimation models using traffic counts Studying congestion definition based on driver consciousness Advancing marketing-oriented approaches in engineering education Recent publications analyze urban freeway dynamics, traffic signal behavior, and residential environment planning. He has presented at major conferences like the European Transport Conference and Japan Society of Civil Engineers meetings. Award of the Japan Society of Civil Engineers (1999) Active in professional bodies, he serves on committees for Nagoya Expressway Public Corporation, Nagoya City Environmental Impact Assessment Board, and academic societies like the Japan Society of Civil Engineers.

• Digital Transformation
• Information Systems
• Technology Adoption
• +۴ مورد دیگر

Shengnan Han is a Professor in Computer and Systems Sciences (specializing in information systems) at Stockholm University since 2024. She serves as Program Director for the Bachelor program in Marketing & IT, and is a faculty member of Digital Futures . Her academic journey includes Associate Professor (2011-2024) and Assistant Professor (2005-2010) positions at Stockholm University and Åbo Akademi University respectively, where she earned her D.Sc. in information systems (2005). Current Roles: Professor, Stockholm University (2024-) Member of program council for Master program in Health Informatics Faculty member of Digital Futures Academic Service: Associate Editor, Electronic Markets Editorial Board Member, Telematics and Informatics Program Co-Chair, ECIS2023 Board Member, AIS Region 2 (2022-2024) Research Interests span technology adoption impacts through a holistic perspective covering individual behaviors, organizational performance, and societal transformations. Her cross-disciplinary collaborations involve healthcare, data science, law, and human geography. Key projects include Digital Government Collaborative Platform in Sri Lanka, DISRA for elderly care, Digital Nature in rural agriculture, and SEED for secure distance exams. Publication Trends focus on RPA implementation (10+ articles), digital proctoring systems, and rural digital studies. Her work combines technical innovation with ethical considerations like privacy and human values alignment. Teaching Responsibilities include courses on Digital Business within IT, SUPCOM for Health Informatics, and Ph.D. level computer science instruction. She supervises bachelor and master theses while maintaining an active research group in Digital Transformation at DSV.

• Numerical Linear Algebra
• Matrix Computation
• Matrix Theory
• +۲ مورد دیگر

Xin Liang is a Postdoctoral Researcher at the Max Planck Institute for Dynamics of Complex Technical Systems , Germany. His research focuses on Numerical Linear Algebra , Matrix Computation , and Matrix Theory , particularly addressing Eigenvalue Problems and associated principles in computational mathematics.