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Zhaojun BaiView profile

Professor

• Numerical Linear Algebra
• Matrix Computations
• Scientific Computing
• +4 more

Zhaojun Bai is a Distinguished Professor in the Department of Computer Science and Department of Mathematics at the University of California, Davis, and a Faculty Scientist at Lawrence Berkeley National Laboratory's Scalable Solver Group. He obtained his PhD from Fudan University, China, and completed postdoctoral training at the Courant Institute of New York University. Research Interests Professor Bai's research spans several key areas of computational mathematics: Numerical Linear Algebra and Matrix Computations : Developing algorithms for eigenvalue problems and matrix functions Mathematical Software Engineering : Creating high-performance libraries like LAPACK Scientific Computing : Applications in circuit simulation, MEMS, and quantum systems Information-based Computing : Methods for data clustering and image segmentation Quantum Simulations : Development of QUEST software for quantum Monte Carlo methods Publication Trends His recent publications (2015-2020) primarily focus on advanced numerical methods for eigenvalue problems, quantum Monte Carlo simulations, and high-performance computing. Research themes include nonlinear eigenvalue solvers, model reduction techniques, quantum system simulations, and applications in materials science and data science. Awards and Honors SIAM Fellow Research Teams and Labs Professor Bai leads significant collaborations including the PETAMAT project for next-generation quantum simulation software and contributes to the LBL Scalable Solver Group. He has supervised multiple software development projects including LAPACK, QUEST quantum simulation toolbox, and various numerical algorithm implementations.

Xavier MoreauView profile

Professor

• Control Systems Engineering
• Fractional-Order Calculus
• Vehicle Dynamics and Control
• +3 more

Xavier Moreau is a Professor at University of Bordeaux, affiliated with the IMS (Integration, Material to System) Laboratory, a joint research unit involving University of Bordeaux, Institut Polytechnique de Bordeaux, and CNRS. He works within the Automatic Control research group and is a key member of the CRONE team, specializing in fractional-order control systems and their applications. His research interests focus on Control Systems Engineering , particularly Fractional-Order Calculus applications, Vehicle Dynamics and Control , and Automatic Control Systems . Dr. Moreau's work bridges theoretical control theory with practical applications in automotive systems, acoustics, and electromechanical devices. His research demonstrates how fractional calculus can enhance traditional control approaches, particularly through the CRONE methodology which provides superior robustness and performance in complex systems. Dr. Moreau's publications reveal a consistent focus on applying control theory to real-world problems, with particular emphasis on vehicle guidance systems, headlight leveling mechanisms, suspension control, and even musical instrument acoustics. His work on the CRONE controller represents a significant contribution to control engineering, offering alternatives to traditional PID controllers with improved performance characteristics. His scientific contributions span multiple domains including Automotive Engineering, Control Theory, Fractional Calculus, and Acoustics. Dr. Moreau has collaborated extensively with industry partners including Groupe PSA (now Stellantis), demonstrating the practical relevance of his research to automotive applications. While specific advising information isn't provided in the available materials, Dr. Moreau's extensive publication record suggests active mentorship of graduate students and researchers within the IMS laboratory. His work has contributed to advancements in vehicle safety systems, driver assistance technologies, and precision control mechanisms. Dr. Moreau's research laboratory environment includes the CRONE team within the Automatic Control group at IMS, which appears to maintain strong connections with both academic and industrial partners in the automotive sector. His work demonstrates the integration of theoretical control concepts with practical engineering solutions for real-world applications.

• Smart Cities
• Sustainable Urban Development
• ICT in Urban Innovation
• +6 more

Professor Mark Deakin is affiliated with the School of Computing, Engineering and The Built Environment at Edinburgh Napier University. He specializes in Smart Cities , Sustainable Urban Development , and ICT in Urban Innovation , with a particular focus on the Triple Helix Model and Digital Twin Technology . Key research projects include BIM Implementation in SMEs (2022-2024) funded by Innovate UK (£173,647) Smart City Transitions in South East Scotland (2021-2025) funded by the Scottish Government (£29,999) ONLINE-S3 (2016-2018) funded by the European Commission (£270,288) His recent publications examine: Smart City Metrics (2020): Quantifying future internet-based urban development Triple Helix Evolution (2018): Transition to quadruple helix models ICT and Climate Neutrality (2023): Digital solutions for low-carbon urban zones He supervises doctoral students in: David Akinwamide (2023): Real Estate in the Metaverse Toyosi Oye (2015): Climate Neutral City Districts Tosin Oye (2015): Energy Efficient Low Carbon Zones

Thomas ZeumeView profile

Professor

• Computational Logic
• Dynamic Complexity Theory
• Database Theory
• +5 more

Thomas Zeume is a Professor for Logic and Formal Verification at Ruhr University Bochum since 2020. Previously, he served as a Scientific Assistant at TU Dortmund's Faculty of Computer Science from 2009 to 2020. His work bridges computational logic with database theory, complexity theory, and formal verification, while also innovating in educational technologies for formal foundations of computer science. Research Focus: Dynamic Complexity Theory: Classifying logical query languages for evolving databases. Formal Verification: Designing logics for software/hardware verification and XML/graph databases. Educational Technologies: Developing the Iltis system for interactive learning in formal logic and computational reductions. Publications and Contributions: His research spans dynamic complexity, two-variable logic, and CS education tools, with key works in Journal of the ACM , LICS , and SIGCSE TS .

N. Bora KeskinView profile

Associate Professor

• Dynamic pricing
• revenue management
• statistical learning
• +5 more

N. Bora Keskin serves as Associate Professor of Business Administration at Duke University's Fuqua School of Business, specializing in data-driven optimization for dynamic pricing, revenue management, and operational systems. His work bridges theoretical operations research with practical applications in evolving market environments. His research focuses on developing machine learning and statistical methods for pricing under demand uncertainty, with emphasis on perishable inventory, platform operations, and service management. Current investigations include blockchain-enabled supply chain transparency, smart meter-based electricity pricing, and multi-agent learning in competitive markets, demonstrating consistent innovation in integrating high-dimensional data with classical optimization frameworks. Recent publications reveal a trajectory toward interdisciplinary applications, combining reinforcement learning with stochastic modeling to address challenges like reference price effects, information asymmetry in insurance, and congestion in two-sided platforms. Key themes involve personalization, nonstationary demand learning, and incentive design in complex systems. Dr. Keskin's scientific contributions have been recognized with prestigious awards including: Winner, MSOM Young Scholar Prize (2024) Winner, Lanchester Prize (2019) Winner, Triangle Impact Challenge (2021) Markov Lecture Discussant, INFORMS Applied Probability Society (2023) Multiple best paper awards across INFORMS conferences (2020-2024) While specific doctoral student mentorship details and grant funding information are not provided in available materials, his collaborative research spans institutions including Chicago Booth and UNSW, with works featured in Duke Fuqua Insights and INFORMS publications. No dedicated research labs or teams are explicitly referenced in the source text.

• Cryptology
• Game Theory
• Blockchain Security
• +3 more

Sanjay Bhattacherjee is a Lecturer in Cyber Security at the School of Computing , University of Kent. He serves as the Information Services Liaison Lead for the Institute of Cyber Security for Society (iCSS) and leads the Undergraduate Year I module on Blockchain and Distributed Systems. His research focuses span cryptology, blockchain security, algorithm design, and game theory, as detailed on his research webpage . Research Interests Cryptology and Lattice Reduction Algorithms Game Theory Applications in Blockchain Security Algorithm Design for Broadcast Encryption Network Security and Proportional Representation in Financial Systems Teaching Role Highlights Undergraduate and Postgraduate Lectures on Blockchain, Cryptography, and Algorithms Module Leadership in "Maths for Computing" and "Distributed Systems" Contributions to Pedagogical Essays on Depth vs. Breadth in Education and Assessment Practices

• Applied Probability
• Stochastic Networks
• Random Graphs
• +7 more

Professor A J Ganesh is a faculty member at the University of Bristol , holding the title of Professor of Applied Probability within the School of Mathematics, Statistical Science and is affiliated with the Probability, Analysis and Dynamics research group. He is also an active member of the Cabot Institute for the Environment , contributing to themes such as City Futures , Low Carbon Energy , and Natural Hazards and Disasters . Education B.Sc. – Indian Institute of Technology, Madras M.Sc. – (institution not specified) Ph.D. – Cornell University Research Interests Professor Ganesh’s work lies at the intersection of applied probability , stochastic networks , and network science . A recurring theme is understanding how randomness and local interactions give rise to global phenomena such as consensus, epidemics, or congestion. His investigations span: Consensus & Gossip Algorithms – analysing voter models and multi-agent bandits; Epidemic Processes & Rumour Spreading – quantifying thresholds, extinction times, and the impact of network topology; Random Graphs & Connectivity – soft geometric graphs, isolated nodes, and diameter questions; Queueing & Large Deviations – Cox/G/∞ queues, resource allocation, and delay-optimal scheduling; Cyber-Security & Intrusion Detection – leveraging variational autoencoders for anomaly detection; Game-Theoretic Resource Allocation – Pigouvian tolls, welfare optimality, and price of anarchy in parallel-server systems. Publication Trends Over the last decade Professor Ganesh has published extensively on collective decision-making (2025, 2024), machine-learning approaches to security (2023), and latency-sensitive communication (2022, 2019). Earlier work focused on epidemic thresholds , connectivity in random graphs , and large-deviations analysis of queues , demonstrating a consistent trajectory toward real-world applications of stochastic models. Scientific Awards & Recognition Author of the Springer Lecture Notes in Mathematics monograph Big Queues (2004) – a widely cited reference on large-deviations techniques in queueing theory. Supervision & Grants Professor Ganesh has 6 supervised works listed in institutional repositories, indicating ongoing Ph.D. or post-doctoral mentoring. While specific grant titles and amounts are not disclosed in the provided text, his sustained publication output and participation in EU and UK research networks (e.g., Horizon 2020, EPSRC) suggest active grant funding. Laboratories & Teams He collaborates closely with colleagues in the Cabot Institute for the Environment , applying probabilistic models to urban sustainability and disaster resilience. Cross-disciplinary partnerships include joint projects with engineers on connected and automated vehicles and with biologists on epidemic control strategies .

Jackson van DykeView profile

Research Fellow

• Topological Quantum Field Theory
• Higher Algebraic Geometry
• Quantum Topology
• +3 more

Dr. Jackson van Dyke is a Research Fellow at the Technical University of Munich under Prof. Dr. Claudia Scheimbauer in the Department of Mathematics (M2) at the TUM School of Computation, Information and Technology. His research explores anomalous properties of functorial quantum field theories. Broad applications include classification of topological orders Higher algebraic geometry Relative Langlands program Publications span 2023-2024 articles on projective TQFT symmetries, 2020 work on knot Floer homology, and 2017-2020 studies in radiation material testing and fission modeling. His presentation history includes talks at University of Lisbon, University of Hamburg, and Simons Collaboration events.

• Scientific Computing
• Applied mathematics
• Numerical methods
• +2 more

Marie E. Rognes is a Chief Research Scientist at Simula Research Laboratory's Numerical Analysis and Scientific Computing department. She specializes in computational mathematics and biomedical modeling, particularly focusing on cerebral fluid dynamics, electrodiffusion, and poroelasticity. Her work bridges advanced numerical methods with clinical applications in neuroscience. Research Pillars: Brain waterscape modeling, finite element methods, and biophysical simulations Software Leadership: Key contributor to FEniCS and Dolfin-adjoint projects Application Domains: Neurodegenerative diseases, cardiac electrophysiology, and personalized medicine Recent publications reveal methodological innovations in perivascular flow modeling , ionic transport simulations , and multi-scale brain mechanics . Her work on glymphatic system dynamics and cardiac tissue modeling demonstrates cross-disciplinary impact. While no explicit awards are listed, her extensive publication record in top-tier computational journals (SIAM, PLOS, Nature Computational Science) and invited talks at premier conferences (SIAM, ECCOMAS, FEniCS workshops) establish her as a leading figure in biomedical computing.

K Narayan KumarView profile

Professor

• Automata
• Verification
• Distributed Systems
• +1 more

K Narayan Kumar is a full-time Professor of Computer Science at the Chennai Mathematical Institute (CMI) in Chennai, India. He has been affiliated with CMI since at least 2003, where he teaches courses ranging from programming fundamentals to advanced topics in automata theory and verification. His research focuses on automata models for distributed systems, logic, and verification methods. Research Interests: Automata models for distributed systems Logic and formal verification Theoretical computer science Professional Activities: Active in organizing and participating in international conferences (e.g., FSTTCS, CONCUR, ATVA) Co-Chair of 29th FSTTCS (2009) and 3rd AATS (2011) Member of scientific committees for Informatics Olympiads Teaching: Current courses: Introduction to Programming in Python, Algorithms Past courses: Haskell programming, Automata Theory, Verification, Networks, and more

Igor WalukiewiczView profile

Researcher

• Concurrency Theory
• Model Checking
• Timed Automata
• +7 more

Igor Walukiewicz is a Researcher at the Laboratoire Bordelais de Recherche en Informatique (LaBRI) , affiliated with Université de Bordeaux , France. His work focuses on Concurrency Theory , Model Checking , Timed Automata , Higher-Order Model Checking , and Automata Theory . His recent research explores parametric systems , timed automata , and higher-order concurrency . Articles highlight advancements in verification techniques , synthesis of distributed algorithms , and partial-order reduction methods . Key subfields include deadlock avoidance , active learning , and logical frameworks for timed systems . He has secured significant ANR grants such as FREDDA (FoRmal Methods for Distributed Algorithms) and Ticktac (Verification of Real-Time Systems). He contributes to tools like TChecker , a model-checking tool for real-timed systems developed at LaBRI. Walukiewicz participates in editorial and organizational roles, including the Fundamenta Informaticae editorial board and HIGHLIGHTS conference steering committee. He has presented at major venues like LICS , CONCUR , and ICALP .

David CookView profile

Associate Professor

• Supply Chain Management
• Decision Modeling
• Information Systems
• +3 more

David Cook is an Associate Professor in the Department of Information Technology & Decision Sciences at Old Dominion University's Strome College of Business . His work focuses on decision modeling, supply chain management, and information systems ethics. Education: Ph.D. in Production and Operations Management (University of Kentucky, 1997) Certifications: CompTIA A+ (2001), CompTIA Network+ (2001) Research interests include: Supply chain vulnerability assessment Green logistics and container reuse Trust mechanisms in digital systems Quality management paradigms Recent publications show expertise in supply chain optimization, ethical implications of information systems, and business performance metrics. Cook has secured significant grants including a $599,690 federal award for transportation vulnerability assessment and multiple summer research grants from Old Dominion University. His professional certifications and publications on third-party seals, medical ethics, and e-business quality frameworks reflect his interdisciplinary focus on technology, operations, and ethical governance.

Alexandre BrandwajnView profile

Professor

• Performance modeling
• Queuing network models of computer systems and networks
• Computer architecture
• +6 more

Alexandre Brandwajn is a Professor of Computer Engineering at the Jack Baskin School of Engineering, University of California, Santa Cruz, where he has been active in both research and teaching. His career spans over four decades, blending academic rigor with industrial insight gained at Amdahl Corporation and research institutions in France. Education B.A. – University of Paris IV Sorbonne Docteur-Ingénieur – University of Paris VI (UPMC) Docteur d’État – University of Paris VI (UPMC) Ingénieur Civil des Télécommunications – ENST, Paris Research Interests Brandwajn’s research lies at the intersection of computer systems, performance evaluation, and stochastic modeling. He investigates efficient solution methods for large-scale queueing systems, focusing on circumventing the combinatorial explosion of state space. Recent emphases include: Efficient solutions for Ph/Ph/c-like queues using numerically stable recurrent schemes Application of conditional probability to performance models Models of virtualized systems and cloud computing infrastructures Optical networks and I/O subsystem performance Automated calibration and selection of performance models from observed data His work often combines theoretical advances with practical relevance to storage systems, network protocols, and enterprise transaction processing. Publication Trends Across more than 50 refereed journal and conference papers, Brandwajn demonstrates a sustained focus on queueing-network-based performance evaluation. Recent publications (2008-2011) highlight collaborative efforts with Thomas Begin on state-space reduction, model calibration, and the analysis of general arrival/service distributions. Earlier work (1970s-1990s) established foundational techniques in equivalence and decomposition methods for complex systems. Awards & Invited Presentations While specific awards are not listed, Brandwajn has delivered numerous invited talks worldwide, including seminars at LINCS Paris, CMG panels, and international workshops, underscoring his recognized expertise in performance modeling. Teaching & Mentoring He teaches a comprehensive set of courses at UC Santa Cruz: Probability and Statistics for Engineers (undergraduate) Computer Architecture (undergraduate) Performance Evaluation (graduate) Advanced Topics in Performance Evaluation (graduate) Network Engineering Project (graduate capstone) He has advised doctoral work, notably that of Thomas Begin (UPMC), extending his methodologies to automatic model calibration. Laboratory & Collaborations Brandwajn has collaborated with researchers at INRIA, LIP (ENS Lyon), LIP6 (UPMC), ENST Paris, and Telecom SudParis, fostering interdisciplinary projects in network modeling, storage performance, and cloud computing.

Juan Guzman-InigoView profile

Lecturer

• Aeroacoustics
• Fluid Mechanics
• Noise Control
• +3 more

Dr. Juan Guzman-Inigo is a Lecturer in the Department of Engineering at City St George's, University of London . He previously held Research Associate positions at Imperial College London and University of Cambridge . His research focuses on aeroacoustics and fluid mechanics , particularly the reduction of noise in aerospace systems (e.g., aircraft, wind turbines, compressors) and the application of reinforcement learning to flow-induced noise control. Education : PhD from Ecole Polytechnique Paris/ONERA (2015), MRes from National Higher French Institute of Aeronautics and Space (2011), and MEng from Universidad de Sevilla (2011). Research : Explores physical mechanisms of sound generation and develop novel damping techniques using numerical simulations (e.g., linearised Navier-Stokes equations ), experimental validation, and Bayesian optimization for geometrical design. Grants & Awards : ERC Consolidator Grant AFIRMATIVE (2018–2023). Professional Memberships : UKAN+. Languages : English, French, and Spanish (proficient in reading, writing, speaking, and peer review).

Gaetano ContinilloView profile

Professor

• Combustion modeling
• Simulation dynamics
• Chemical kinetics
• +4 more

Professor Gaetano Continillo is a Full Professor at the Department of Engineering (DING) of the University of Sannio (Italy), specializing in combustion modeling, simulation dynamics, and reduced-order modeling techniques. His research spans chemical reactor analysis, flame propagation, and application of advanced mathematical methods like Proper Orthogonal Decomposition (POD) and Independent Component Analysis (ICA) to combustion processes in internal engines. Department of Engineering (DING), Università degli Studi del Sannio Key research areas: Combustion analysis, Bifurcation dynamics, Model reduction, Chemical reactor simulation His work focuses on developing computational methods for analyzing combustion processes, flame dynamics, and emission control in energy systems. He has contributed to both theoretical and applied studies across chemical and mechanical engineering domains. 15+ publications demonstrate expertise in combustion modeling, periodic reactor analysis, and advanced data decomposition techniques Recent articles emphasize reduced-order modeling strategies and multi-physics combustion analysis Professor Continillo actively collaborates with researchers in engine diagnostics and chemical process optimization. His studies have direct applications in energy efficiency, emission reduction, and combustion stability analysis for various engine and reactor systems.