جست‌وجوی استاد و پژوهشگر

Rene Peetersمشاهده پروفایل

استادیار

• Discrete Mathematics
• Algebraic Graph Theory
• Combinatorial Optimization
• +۴ مورد دیگر

Rene Peeters is an Assistant Professor at Tilburg University, affiliated with the Department of Econometrics and Operations Research within the Tilburg School of Economics and Management (TiSEM). His research focuses on discrete mathematics, algebraic graph theory, and combinatorial optimization. He holds a Ph.D. from Tilburg University (1991–1995) and has been a faculty member since 1995. His work spans theoretical contributions to graph theory and practical applications in logistics, including urban freight transportation and vehicle routing problems. In logistics research, he addresses challenges such as optimizing delivery routes, outsourcing strategies, and stakeholder collaboration in urban settings. His technical contributions include advancements in variable neighborhood search algorithms and matrix theory, particularly in analyzing adjacency matrices and (0,1)-matrices. Peeters teaches courses like Combinatorial Optimization and coordinates the Improving Society Lab for EOR (Econometrics and Operations Research).

Andrew Chingمشاهده پروفایل

استاد

• Econometrics
• Marketing Science
• Health Economics
• +۴ مورد دیگر

Andrew Ching, PhD (University of Minnesota), is a full professor at the Johns Hopkins University's Carey Business School with joint appointments in the Department of Economics and the Bloomberg School of Public Health. He co-founded the Digital Business Development Initiative (DBDI) and holds roles in Hopkins Business of Health Initiative and the Canadian Centre of Health Economics. Prior roles include faculty positions at University of Toronto and Ohio State University, along with visiting professorships at UCLA, Cornell, and others. He serves on editorial boards for journals like Marketing Science and Management Science , and Hong Kong Research Grant Council's Business Studies Panel. His research focuses on structural models analyzing consumer and firm behavior under complex environments, including rational inattention, exploration-exploitation dilemmas, and bounded rationality. Applications span prescription drug demand, nursing home markets, technology adoption, payment methods, and video game markets. Recent work integrates AI/ML tools for adaptive learning modeling. Key awards include the Young Economist Award (European Economic Association), SSHRC grants, and Distinguished Visiting titles at CUHK and Peking University. His students have won MSI and ISMS dissertation awards. Articles appear in Econometrica , Marketing Science , and Management Science . Education includes a PhD in Economics from the University of Minnesota, MAs from Minnesota and UBC, and a BA from ANU. Teaching focuses on customer analytics and health marketing.

Bettina Speckmannمشاهده پروفایل

استاد

• Computational Geometry
• Geometric Algorithms
• Spatial Data Analysis
• +۱۲ مورد دیگر

Bettina Speckmann is a full Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU Eindhoven), where she leads the Applied Geometric Algorithms group. She holds additional appointments as EAISI Health Professor and EAISI Foundational Professor, and is affiliated with the Data Science Center Eindhoven. Her research bridges theoretical algorithm design with practical applications in spatial computing. Her research interests lie primarily in computational geometry and geometric algorithms, with strong applications in GIScience, Smart Mobility (including moving object analysis and automated cartography), geo-visualization, visual analytics, and e-Humanities. She focuses on developing efficient algorithms and data structures for spatial data, combining rigorous theoretical methods with practical engineering for real-world impact. Her recent publications (2025) show a strong trend in geometric data processing, particularly in polycube segmentations, dual loop algorithms, density estimation for moving groups, and topological analysis using merge trees and Fréchet distances. These works reflect her interdisciplinary focus on computational geometry, visualization, and data structures. Scientific awards received include: Netherlands Prize for ICT Research (2011) NWO Vici Award (2012) PEriTiA Prize (2020) Bettina Speckmann has advised numerous students and researchers through her group and has secured major grants, including the NWO Vici. She has served in leadership roles such as PC co-chair for Graph Drawing (GD 2011), PC chair for ICALP Track A (2015), and PC co-chair for SoCG (2018). She teaches courses such as Data Structures and Heuristic Algorithms. She leads the Applied Geometric Algorithms group, which actively collaborates with industry partners like HERE Global B.V., Fugro NL Land B.V., and OCLC B.V., and contributes to UN Sustainable Development Goals in areas related to data and mobility.

Hila Pelegمشاهده پروفایل

استادیار

• Programming Languages
• Software Engineering
• Human-Computer Interaction
• +۷ مورد دیگر

Hila Peleg is an Assistant Professor in the Department of Computer Science at the Technion – Israel Institute of Technology, where she co-leads the TecSE lab with Prof. Shachar Itzhaky. Her research lies at the intersection of Programming Languages, Software Engineering, and Human-Computer Interaction, focusing on program synthesis and interactive developer tools. Her research interests center on creating intelligent, theory-driven tools that enhance programmer productivity and correctness. She explores interaction models that integrate formal methods like separation logic into practical synthesis systems, enabling more versatile and reliable code generation. Her work spans both foundational models and real-world applications, from web layout synthesis to computational crafting. The trend in her recent publications shows a strong focus on interactive and practical program synthesis, blending formal verification with user-centered design. She investigates how synthesis can be made more usable through live programming, best-effort results, co-design of tools and languages, and integration with developer workflows. Her work increasingly emphasizes the human aspect of programming tools. Distinguished Paper Award, PLDI 2021 Distinguished Artifact Award, SPLASH 2020 Hila Peleg advises multiple graduate students, including PhD and MSc candidates, and leads the ERC-funded EXPLOSYN project, which supports advanced research in program synthesis. She has taught advanced courses such as User-Centered Programming Tools and seminars in programming languages, and is actively involved in the academic community through conference service and organization. She is a core member of the TecSE lab, which focuses on advancing software engineering through programming language theory and interactive systems. The lab fosters interdisciplinary research at the boundary of formal methods and human-centered tool design.

Snezana Mitrovic Minicمشاهده پروفایل

استاد مدعو

• Operations Research
• Discrete Optimization
• Graph Theory
• +۷ مورد دیگر

Snezana Mitrovic Minic is an Adjunct Professor in the Department of Mathematics at Simon Fraser University, Surrey. She holds a PhD in Computing Science from Simon Fraser University, an MSc in Applied Mathematics from the University of Belgrade, and a BSc in Mathematics from the same institution. PhD : School of Computing Science, Simon Fraser University MSc : Applied Mathematics Program, Faculty of Electrical Engineering, University of Belgrade BSc : Faculty of Mathematics, University of Belgrade Her research lies at the intersection of operations research and applied discrete mathematics, with focus areas including discrete optimization, graph theory, vehicle routing, scheduling, and algorithm design. She has conducted significant research on the dynamic pickup and delivery problem with time windows (PDPTW), contributing benchmark test instances widely useful in algorithmic development. She has collaborated with leading researchers such as Prof. Abraham Punnen, Prof. Peter Borwein, Prof. Gilbert Laporte, Prof. Binay Bhattacharya, and Dr. Emina Krcmar on projects involving integer programming, health care modeling, and heuristic methods in logistics and forestry. Her teaching portfolio includes courses such as MATH 343, MATH 157, CMPT 307, and CMPT 201, covering calculus, discrete mathematics, data structures, and algorithms. Dr. Mitrovic Minic is professionally affiliated with major operations research societies: IFORS (International Federation of Operational Research Societies) CORS (Canadian Operational Research Society) EURO (Association of European Operational Research Societies) EWG Transportation (EURO Working Group on Transportation) INFORMS (Institute for Operations Research and the Management Sciences) She has over ten years of industry experience as a software engineer and analyst in real-time control systems, bridging theoretical research with practical software development. Her academic work is supported by a strong technical background and active participation in the global OR community.

Wil Michielsمشاهده پروفایل

استاد

• Cryptography
• Cybersecurity
• Information Security
• +۳ مورد دیگر

Wil Michiels is a Full Professor (part-time) at Eindhoven University of Technology (TU/e), affiliated with the Security group within the Department of Mathematics and Computer Science. His research focuses on cryptography and cybersecurity, particularly in white-box cryptography, cryptanalysis, and secure implementations. He collaborates with industry partners like NXP, working one day a week at TU/e while maintaining his role at NXP. Michiels' research explores topics such as differential computation analysis (DCA), fault injection attacks, and traceability mechanisms in cryptographic systems. His work emphasizes practical security challenges, including defending against reverse engineering and ensuring incompressibility in cryptographic primitives. Notable contributions include studies on grey-box attacks and watermarking techniques for pay-TV systems. His publications highlight advancements in cryptographic protocols and secure software distribution. Despite no explicit mention of awards, his active role in both academia and industry underscores his contributions to applied cryptography. Michiels' ancillary activities at NXP reflect his industry engagement, though specific grants or lab affiliations are not detailed in the provided texts.

• High-Performance Computing
• Big Data Processing
• Performance Portability
• +۳ مورد دیگر

Enes Bajrovic is a researcher affiliated with the Faculty of Computer Science, focusing on high-performance computing (HPC), big data processing, and performance portability. His work spans task-based parallelism, runtime systems, and optimization frameworks for heterogeneous architectures. He has contributed to major European projects like PEPPHER and AutoTune, which aim to advance HPC software tools and autotuning methodologies. His research emphasizes practical applications of parallel computing in domains such as mobile networks and scientific simulations. Education: Dipl.-Ing. Dr.techn., BSc in Computer Science His research interests include developing frameworks for compute- and data-intensive applications, leveraging technologies like Kubernetes, OpenCL, and Intel Xeon Phi coprocessors. He has authored numerous peer-reviewed publications on topics such as pipeline patterns, autotuning algorithms, and hybrid execution models. His work bridges theoretical advancements in parallel computing with real-world software engineering challenges. Bajrovic has collaborated on projects funded by the European Commission’s FP7 program, contributing to deliverables like runtime systems, tuning frameworks, and benchmarking tools. His research also addresses the integration of big data processing with HPC, particularly in telecommunications and distributed computing environments.

Onur Kilicمشاهده پروفایل

دانشیار

• Operations Research
• Inventory Management
• Supply Chain Optimization
• +۳ مورد دیگر

Dr. Onur Kilic is an Associate Professor at the Faculty of Economics and Business, University of Groningen. He holds a BSc and MSc from Hacettepe University (2016) and a PhD from the University of Groningen (2011). His research focuses on mathematical modeling and optimization in production systems, inventory management, scheduling, and maintenance. He has published in top-tier journals including European Journal of Operational Research and INFORMS Journal on Computing. Kilic's work addresses practical challenges in supply chain optimization, stochastic systems, and energy logistics. Education: BSc/MSc: Hacettepe University (2016) PhD: University of Groningen (2011) Research Interests: Inventory Control and Stochastic Systems Production Planning and Scheduling Optimization in Supply Chains Mathematical Modeling for Industrial Applications Energy Logistics and Offshore Wind Farm Operations Recent Articles Highlight: His 2024 publications address condition-based maintenance optimization, production loss reduction in food manufacturing, and advanced inventory heuristics. His work on offshore wind farm decommissioning (2022) and LNG inventory policies (2020) demonstrates expertise in energy sectors. Grants and Projects: Co-PI: Service Logistics for Offshore Energy Production (NWO grant, 2019-present) PI: Stochastic Inventory Control in Hybrid Systems (TUBITAK grant, 2014-2018) Labs/Teams: Actively involved in operations research and management science initiatives within the Faculty of Economics and Business.

• Electrical Engineering
• Renewable Energy Systems
• Optimization Algorithms
• +۳ مورد دیگر

Ricardo Mallol Poyato is an Associate Professor at the University of Alcalá, affiliated with the Department of Signal and Communication Theory within the College of Engineering. His research focuses on optimization algorithms applied to energy systems, particularly in microgrid design, renewable energy integration, and evolutionary computation. He leads the GHEODE research group (Modern Heuristics and Network Design Research Group), specializing in heuristic optimization for communication networks and energy systems. He earned his doctorate from the University of Alcalá in 2016 with a thesis titled Optimización del diseño y la operación de redes eléctricas inteligentes mediante computación evolutiva , supervised by Dr. Sancho Salcedo Sanz and Dr. Pablo Díaz Villar. His work bridges theoretical algorithm development with practical applications in energy infrastructure and engineering education. Key research interests include: Optimal design of microgrid topologies Renewable energy resource allocation Evolutionary algorithms for energy systems Thermal management of solar modules Computational methods for control systems His publications emphasize innovative optimization techniques like coral reefs algorithms and harmony search, applied to battery scheduling, distributed generation placement, and scenario-based microgrid operation under variable pricing. He has developed educational software tools for solar energy instruction and contributed to lightweight construction technologies using infrared heating systems.

Mark Leungمشاهده پروفایل

استاد

• Business Forecasting
• Financial Markets
• Artificial Intelligence in Business
• +۵ مورد دیگر

Mark Leung is a Professor of Management Science and the Associate Dean for Undergraduate Studies at the University of Texas at San Antonio (UTSA), Carlos Alvarez College of Business, Department of Management Science & Statistics. He has been a faculty member at UTSA since 1999, establishing himself as a prominent researcher and educator in operations management and business analytics. University: University of Texas at San Antonio College: Carlos Alvarez College of Business Department: Department of Management Science & Statistics Position: Professor and Associate Dean for Undergraduate Studies Leung's research spans multiple domains at the intersection of operations research, finance, and artificial intelligence. His primary research interests include business forecasting and modeling, financial market and investment strategies, neural network and artificial intelligence techniques in business and data mining, and supply chain and operations management. His work demonstrates a consistent focus on applying advanced quantitative methods to solve complex business problems, particularly in financial engineering and operational optimization. His recent publications reveal a strong emphasis on machine learning applications for financial hedging, particularly in energy markets, where he has developed innovative cross-learning machine approaches that outperform traditional methods. Leung has also published extensively on supply chain optimization, auction bidder behavior, and production system management. Col. Jean Migliorino and Lt. Col. Philip Piccione Endowed Research Award (2001) University of Texas System Chancellor's Council Outstanding Teaching Award (2002, 2005) University of Texas System Regents' Outstanding Teaching Award (2013) Endowed 1969 Commemorative Award for Overall Faculty Excellence (2016) Undergraduate Research Faculty Mentorship Award (2018) As Associate Dean for Undergraduate Studies, Leung has played a significant role in shaping business education at UTSA. His teaching excellence has been consistently recognized through multiple awards including the All-Star Professor Award (2013-2016) and the Best Undergraduate Professor Award (2012). He teaches across all levels (undergraduate, graduate, and doctoral) in business forecasting, production and service operations, supply chain management, and applied business statistics. Leung's research program demonstrates strong industry relevance, particularly in financial engineering applications where his work on machine learning approaches for energy market hedging has provided practical solutions for risk management. His collaborations with researchers across multiple disciplines have resulted in a substantial publication record in high-quality journals.

Zemerart Asaniمشاهده پروفایل

پژوهشگر

• Robotics
• Automation in Construction
• Multi-Agent Systems
• +۳ مورد دیگر

Zemerart Asani is a Researcher affiliated with the Department of Applied Mechanics at the Faculty of Engineering, Vrije Universiteit Brussel. Their roles include being an External employee and a doctoral student in the Federated labs AI and Robotics. Asani holds an ORCID identifier (0000-0003-1485-2450) and is based in Brussels, Belgium. Education: Doctoral studies in Applied Mechanics (ongoing), with prior research in control systems and robotics, evidenced by publications from 2018 to 2025. Research focuses on multi-agent robotic systems for construction tasks, including heterogeneous multi-robot collaboration, path planning in cluttered environments, and dynamic modeling of robotic systems. Key projects include the FWOSB169 project on multi-agent control for heavy construction tasks (2023–2027). Their work emphasizes practical applications like heavy block assembly and bricklaying automation. Publications highlight expertise in robotics, control systems, and optimization, with recent work advancing shortest path algorithms and crane vibration control. Asani has received notable recognition, including the 1st Place Award in IEEE MRS 2024 for real-world robotic systems. Activities include peer-review contributions to journals like Nonlinear and Constrained Control , and presentations at conferences such as IFAC and the Benelux Meeting on Systems and Control. Their research network spans international collaborations in robotics and automation.

• Operations Research
• Mathematical Programming
• Combinatorial Optimization
• +۶ مورد دیگر

Enrique Benavent López is an Associate Professor at the Universitat de València, affiliated with the Department of Statistics and Operations Research. His academic career has been dedicated to operations research, particularly in the area of arc routing and combinatorial optimization. Research Interests: Operations Research and Mathematical Programming Capacitated Arc Routing Problem (CARP) Rural Postman Problem (RPP) and its variants Vehicle Routing with Turn Penalties Integer Programming and Polyhedral Combinatorics Heuristic and Metaheuristic Algorithms His research spans theoretical algorithm development and practical applications in logistics and transportation. He has made significant contributions to the formulation and solution of hard optimization problems on networks, particularly through cutting-plane methods and branch-and-cut algorithms. Publication Trends: His work over the past four decades shows a consistent focus on arc routing problems. Early work addressed the quadratic assignment problem and basic postman problems, while later research concentrated on capacitated, windy, and mixed variants with additional constraints. The publications demonstrate a shift from exact methods to hybrid heuristics, reflecting broader trends in the field. His most cited works involve lower bounds, cutting planes, and branch-and-cut for CARP. Scientific Contributions: Developed foundational lower bounds for the Capacitated Arc Routing Problem Introduced exact algorithms based on cutting planes and branch-and-cut Contributed to the polyhedral analysis of arc routing problems Advanced heuristic methods for windy and mixed networks Pioneered work on turn penalties in directed rural postman problems Collaborations and Advising: He has collaborated extensively with leading researchers such as Ángel Corberán, José María Sanchis, and José-Manuel Belenguer. While specific students are not listed, his long-standing research activity suggests he has supervised PhD and Master's students in operations research. He has contributed to major reference works in arc routing and is frequently cited in the literature. Laboratories and Research Groups: He is part of a strong research group in combinatorial optimization at the Universitat de València, focusing on routing and scheduling problems. This group has produced influential work in both theoretical and applied aspects of operations research.

• Numerical Analysis
• Partial Differential Equations
• Fluid Mechanics
• +۸ مورد دیگر

Anna Martinez-Gavara is an Associate Professor in the Department of Statistics and Operations Research at the Faculty of Mathematics, Universitat de València. She is a member of the OPTIMATH research group, focusing on Optimization and Mathematical Modelling. Her research spans two major domains: applied numerical analysis for partial differential equations—particularly in developing high-resolution, well-balanced, and adaptive schemes for hyperbolic conservation laws and shallow water flows—and combinatorial optimization , where she applies metaheuristic methods such as tabu search, GRASP, and scatter search to problems like graph drawing, clustering, and diversity maximization. Her work integrates theoretical stability analysis with practical algorithmic design. The 15 most recent publications reflect a dual trajectory: early works (2008–2012) emphasize numerical methods for fluid dynamics and conservation laws, while more recent papers (2015–2023) pivot toward discrete optimization and metaheuristics. This evolution highlights her interdisciplinary approach, bridging numerical PDEs and operational research. Her collaborations include prominent researchers such as Rafael Martí, Rosa Donat, and Manuel Laguna, resulting in publications in high-impact journals including Journal of Computational Physics , Applied Numerical Mathematics , and European Journal of Operational Research . While no scientific awards are mentioned in the provided texts, her sustained publication record and active research up to 2023 indicate a strong and ongoing academic contribution. She has advised no publicly listed students in the data, and there is no mention of external grants or leadership of a lab or research team.

Leonor Santiago Pintoمشاهده پروفایل

استادیار

• Operations Research
• Arc Routing Problems
• Vehicle Routing
• +۷ مورد دیگر

Leonor Santiago Pinto is an Assistant Professor in the Department of Mathematics at ISEG, University of Lisbon, specializing in Operations Research. She has been a faculty member since 1983 and previously taught at the University of Macau (1991–1998). She is actively involved in teaching and coordinates the Master’s program in Quantitative Methods for Economic and Business Decision-Making. Her research focuses on combinatorial optimization, particularly arc routing problems with applications in urban logistics, waste collection, parking enforcement, and conservation biology. She employs mathematical programming and heuristic methods to solve real-world logistical challenges. Her recent publications highlight a strong trend in applying arc routing models to municipal services, with emphasis on solution attractiveness, trip balancing, and hybrid matheuristics. Her work bridges theoretical optimization with practical implementation in urban environments. PhD in Mathematics Applied to Economics and Management, ISEG (2004) She has supervised numerous Master’s theses on topics including waste collection, scheduling, logistics, and optimization in healthcare and sports. She has co-supervised a doctoral thesis and continues to mentor students in quantitative decision-making. Leonor Pinto is affiliated with ISEG’s research initiatives in data and policy modeling, contributing to applied projects in urban sustainability and public service optimization.

Maria Papaioannouمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Machine Learning
• Internet of Things
• +۳ مورد دیگر

Maria Papaioannou is a Postdoctoral Researcher at the Department of Applied Mathematics and Computer Science (DTU Compute) at the Technical University of Denmark, specializing in cybersecurity engineering with contributions to UN Sustainable Development Goals through secure technology development. Her research focuses on Machine Learning applications for Internet of Things security, including intrusion detection systems, honeypot optimization, and user-centric authentication. She investigates technical implementations of tiny machine learning for resource-constrained devices while addressing human factors in security adoption, particularly for emerging technologies like passkeys. Recent publications reveal strong thematic convergence across machine learning-driven security solutions for IoT ecosystems, emphasizing both algorithmic innovation and usability considerations. Her review articles systematically analyze research gaps in intrusion detection scalability, passkey adoption barriers, and adaptive deception technologies, highlighting interdisciplinary connections between cybersecurity, human factors, and embedded systems engineering.