جستجوی استاد راهنمای دانشگاهی

Hans Bodlaenderمشاهده پروفایل

استاد

• Algorithms
• Complexity Theory
• Graph Theory
• +۴ مورد دیگر

Prof. Dr. Hans Bodlaender is a Full Professor of Algorithms and Complexity at Utrecht University's Faculty of Science, Department of Information and Computing Sciences. He holds a Ph.D. in Mathematics from Utrecht University (1985) and has held academic positions since 1983, including roles at Eindhoven University of Technology. His research focuses on algorithms, computational complexity, graph theory, and parameterized complexity, with a particular emphasis on treewidth and network algorithms. He has been recognized with the EATCS-IPEC Nerode Prize (2014) and has contributed to over 500 publications. His work includes developing algorithms for graph decomposition, scheduling, and NP-hard problem analysis. He has organized international workshops and served on editorial boards, including the Journal of Discrete Algorithms. Education: B.Sc. Mathematics, Utrecht University (1981) M.Sc. Mathematics, Utrecht University (1983) Ph.D. in Distributed Computing (1985), supervised by Jan van Leeuwen Research Interests: Algorithms, complexity theory, parameterized complexity, treewidth, graph algorithms, network optimization, and computational problem-solving. His work bridges theoretical foundations with practical algorithm design, emphasizing efficient algorithms for NP-hard problems. Recent Article Trends: Focus on parameterized complexity, treewidth applications, scheduling algorithms, and algorithmic lower bounds. Recent work explores fixed-parameter tractability, graph decompositions, and hardness results for problems on structured graphs. Awards: EATCS-IPEC Nerode Prize (2014) for contributions to parameterized complexity. Grants/Advising: Extensive involvement in grant-funded research projects and academic leadership roles. Supervised numerous PhD and Master's students (details not fully listed here). Labs/Teams: Active in the Algorithms and Complexity research group at Utrecht University, collaborating on theoretical computer science and algorithmic challenges.

Matthias Walterمشاهده پروفایل

استادیار

• Operations Research
• Optimization
• Mathematical Programming
• +۵ مورد دیگر

Matthias Walter is an Assistant Professor in the Department of Mathematics of Operations Research. His research focuses on optimization, mathematical programming, and algorithm design, with applications in transportation, combinatorial optimization, and logistics. He contributes to the SCIP Optimization Suite and has developed the Combinatorial Matrix Recognition Library. His work spans topics such as linear programming relaxations, pseudo-Boolean solving, and multilinear optimization. Key research interests include operations research, integer programming, and algorithmic solutions for complex optimization problems. He has collaborated on projects like optimizing parcel transportation and analyzing congestion games. His recent publications address challenges in flow shop scheduling, graph realization, and pseudo-Boolean functions. Walter actively participates in academic activities, organizing events like the Mathematical Olympiad in Saxony-Anhalt and presenting invited talks on topics such as McCormick relaxations. His contributions to computational tools and theoretical advancements highlight his role in advancing optimization methodologies.

• Sustainable Process Technology
• Process Optimization
• Carbon Capture and Utilization
• +۳ مورد دیگر

Edwin Zondervan is a Full Professor in Sustainable Process Technology, specializing in process optimization, renewable energy systems, and carbon capture technologies. His work contributes to UN Sustainable Development Goals related to affordable and clean energy, climate action, and industry innovation. Research focuses on biofuel production, green hydrogen systems, and sustainable process design through superstructure optimization frameworks. He actively engages in interdisciplinary studies, integrating data-driven methods and digital twin technologies to address energy transition challenges. Recent research highlights include advancing hydrogen-to-power systems, optimizing biodiesel production with heat integration, and stochastic modeling for biorefinery design. His contributions span academic publications, conference presentations (e.g., 2022 talk on PSE in a changing world), and collaborative projects. Zondervan emphasizes agile education strategies to prepare graduates for evolving industry needs, advocating for process systems engineering as a cornerstone of sustainable development. Key themes in his work include decarbonization pathways, energy storage solutions, and circular economy applications. While no awards are explicitly listed, his high citation count (2,895) and h-index (28) reflect significant academic impact. Ongoing efforts focus on integrating renewable energy systems with industrial processes to achieve net-zero goals.

Milan Abel Lopuhaä-Zwakenbergمشاهده پروفایل

استادیار

• Computer Security
• Differential Privacy
• Side Channel Attacks
• +۷ مورد دیگر

Milan Abel Lopuhaä-Zwakenberg is an Assistant Professor at the University of Twente, holding dual appointments at the Digital Society Institute and the Formal Methods and Tools research group within the Faculty of Electrical Engineering, Mathematics and Computer Science. His expertise bridges theoretical computer science with practical security applications for critical infrastructure systems. His research focuses on computer security, differential privacy, and formal methods, with specialized work in attack trees, fault trees, and defense trees for modeling security vulnerabilities. He develops quantitative analysis techniques including statistical model checking and integer linear programming to address side channel attacks and risk mitigation in cyber-physical systems. His work demonstrates particular strength in translating formal verification methods into actionable security solutions for smart grids and aerospace systems. Recent publications reveal a clear trajectory toward practical implementation of theoretical security models, with increasing emphasis on real-world case studies in critical infrastructure. His 2024-2025 output shows significant expansion in satellite security applications and gridshield dependencies, while maintaining core contributions to fault tree analysis and differential privacy frameworks. The research consistently integrates quantitative metrics with formal verification to address evolving security challenges. Dr. Lopuhaä-Zwakenberg has received prestigious recognition for his contributions: Best paper award at the 14th International Conference on the Digital Society (2020) Best Paper Award at the 21st International Conference on Software Engineering and Formal Methods (2023) SPIN 2025 Best paper award (2025) As an active researcher within the Formal Methods and Tools group, he collaborates extensively on security analysis projects that combine attack-fault-defense trees with quantitative risk assessment methodologies. His team develops advanced tools for security dependency mapping in critical infrastructure, with current work focusing on satellite mission security and smart grid resilience through the Gridshield framework.

Luuk Veelenturfمشاهده پروفایل

دانشیار

• Real-time transport operations
• Mobility operations
• Public transport planning
• +۱۰ مورد دیگر

Luuk Veelenturf is an Associate Professor at the Department of Technology and Operations Management, Rotterdam School of Management, Erasmus University Rotterdam. His work bridges operations research and sustainable urban mobility, focusing on real-time decision systems in transport and logistics. His research interests include real-time transport operations , public transport planning , vehicle routing , and data-driven logistics . A significant portion of his work emphasizes sustainable transportation , aiming to reduce CO2 emissions and congestion through algorithmic improvements in scheduling and routing. The recent publications show a strong trend in solving complex logistics problems using advanced optimization techniques such as Mixed-Integer Programming and Adaptive Large Neighborhood Search . These works span domains including last-mile delivery , passenger-oriented timetabling , and robust train rescheduling , reflecting a consistent focus on resilience and efficiency in transportation systems. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: Luuk Veelenturf has co-supervised PhD research, including the thesis on vehicle routing with multiple service agreements. While specific grants are not listed, his collaboration with prominent researchers and publication in high-impact journals suggest active research funding. His work contributes to UN Sustainable Development Goals on sustainable cities and climate action. Labs and Teams: He is part of the research network within the Department of Technology and Operations Management at RSM, collaborating extensively on transport and logistics optimization. His work involves developing algorithms and models for real-world applications in public transport and city logistics, likely within a structured research group or lab focused on operations and analytics.

Christina Papadimitriouمشاهده پروفایل

استادیار

• Smart Grids
• Integrated Grid Operation
• Renewable Energy Integration
• +۷ مورد دیگر

Christina Papadimitriou is an Assistant Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), affiliated with the Intelligent Energy Systems and Electrical Energy Systems research groups. Her work focuses on smart grid operation, integrated energy systems, and grid flexibility for decarbonization. PhD and Diploma in Electrical & Computer Engineering from University of Patras Senior Researcher at National Technical University of Athens (2012-2016) System Engineer at Hellenic Distribution Network Operator (2016-2019) Special Scientist at University of Cyprus (2019-2021) Her research explores: Smart grid resilience through active asset flexibility Demand-side optimization in integrated grids Power-to-X (PtX) technology operation models Energy hub coordination with logistics fleets Multi-energy carrier synergies in residential clusters Recent work demonstrates: Grid capacity enhancement via dynamic charging strategies (IEEE Access 2024) Multi-objective PtX optimization tools (CRC Press 2025) Smart grid maturity assessment frameworks (Electric Power Systems Research 2024) She coordinates the eNeuron project under Horizon2020 and serves as peer reviewer for multiple journals.

• Robust Optimization
• Bilevel Optimization
• Explainable Optimization
• +۳ مورد دیگر

Jannis Kurtz is an Assistant Professor in Mathematical Methods and Applications in Data Science at the University of Amsterdam 's Faculty of Economics and Business, Department of Business Analytics. His research focuses on robust optimization, bilevel optimization, explainable optimization, integer optimization, machine learning, and operations research. Robust Optimization Bilevel Optimization Explainable Optimization Integer Optimization Machine Learning Operations Research Recent publications include advancements in counterfactual explanations for linear optimization, neural bilevel optimization frameworks, and data-driven robust combinatorial optimization. He organizes the Robust Optimization Webinar series and actively participates in international conferences like INFORMS, ICSP, and LION. Contact: j.kurtz@uva.nl

• Artificial Intelligence
• Optimization
• Logistics
• +۹ مورد دیگر

Eduardo Anibal Lalla is an Associate Professor at the Digital Society Institute and Industrial Engineering & Business Information Systems. His research focuses on applying artificial intelligence and optimization techniques to logistics and transportation challenges, particularly in maritime and urban logistics. He has published extensively on topics such as vehicle routing, metaheuristics, and mathematical programming, contributing to advancements in intelligent transport systems and container logistics. Research Trends : Over the past decade, his work has emphasized optimization algorithms for multi-depot vehicle routing collaborative berth allocation models matheuristics for dynamic scheduling AI-driven decoupling strategies in inter-terminal transport robot stations integration in logistics networks Scientific Awards : Best algorithm in Generalized Continuous Optimization Contest (2016) EURO Excellence in Practice Finalist/Runner-up (2021) Extraordinary doctoral distinction (2017)