جست‌وجوی استاد و پژوهشگر

• Power Systems
• Smart Grids
• Renewable Energy Integration
• +۵ مورد دیگر

Bozorg Mokhtar is an Associate Professor at the School of Engineering and Management of the Canton of Vaud (HEIG-VD) , part of the University of Applied Sciences and Arts Western Switzerland (HES-SO). His research focuses on power systems, smart grids, and renewable energy integration. BSc and MA in Electrical Engineering from HES-SO Key projects: SCCER FURIES Phase 2 (WP3 on hybrid AC-DC grids), funded via CTI and HES-SO Research Interests include grid stability, power electronics, and energy storage optimization. He explores probabilistic flexibility indices , grid-forming inverters , and digital twin platforms for distribution networks. His work addresses challenges like peak shaving , carbon trading mechanisms , and dynamic state estimation . Scientific Contributions span 15 recent articles on DER aggregation, rail-to-EV energy recycling, and voltage control algorithms. His collaborations include researchers like Rachid Cherkaoui (EPFL) and Mauro Carpita (HEIG-VD).

• Discrete Mathematics
• Combinatorics
• Optimization
• +۳ مورد دیگر

Rom Pinchasi serves as a Visiting Professor at École Polytechnique Fédérale de Lausanne (EPFL) within the School of Basic Sciences, Department of Mathematics, holding the Chair of Discrete Optimization (DISOPT group). His office is located at MA B1 533 (Bâtiment MA), Station 8, 1015 Lausanne, Switzerland. His research spans Discrete Mathematics , Combinatorics , and Optimization , with specific focus on computational geometry, extremal set theory, and algorithmic game theory. His work bridges theoretical computer science and pure mathematics, emphasizing combinatorial structures and geometric configurations. As head of the DISOPT research group, he leads investigations into discrete optimization problems, including integer programming and combinatorial algorithms. His status as an invited guest reflects EPFL's collaborative approach to hosting distinguished scholars in specialized mathematical fields.

• Applied Mathematics
• Algorithms
• Optimization
• +۴ مورد دیگر

Dr. Richard Bödi is a Researcher at the ZHAW School of Engineering's Departement Applied Mathematics, Physics, Systems and Operations. He specializes in applied mathematics, algorithms, optimization, and computer science with a focus on databases and geometry. His work spans NoSQL systems, inventory optimization, and geometric structures like projective planes and collineation groups. Dr. Bödi has contributed to over 30 peer-reviewed publications since 1989, including foundational research on smooth stable planes and ZurichNoSQL query processing. He collaborated on a NoSQL Data Warehouse project for optimizing air transportation logistics and authored articles on decision-making scoring systems. His research interests include algorithmic efficiency in databases, symmetry exploitation in optimization, and geometric modeling. Recent work emphasizes data-driven business analytics and forecast accuracy in supply chains. Notable contributions include collaborative efforts with IBM on inventory budgeting and medical imaging algorithms for brachytherapy. Dr. Bödi’s research demonstrates a blend of theoretical mathematics and applied computational methods. His publications span disciplines from differential geometry to logistics optimization, reflecting a commitment to bridging abstract mathematical concepts with real-world applications.

• Operations Research
• Transportation Science
• Discrete Choice Modeling
• +۴ مورد دیگر

Meritxell Pacheco Paneque is a Senior Researcher in the Department of Informatics at the University of Fribourg's Faculty of Management, Economics, and Social Sciences. Her research focuses on integrating advanced discrete choice models and optimization techniques to address complex decision-making problems in transportation and logistics. She holds a Ph.D. and actively contributes to both theoretical and applied research in operations research and transportation science. Her work emphasizes the development of mathematical frameworks that capture demand-supply interactions, particularly in contexts like waste collection routing, passenger satisfaction maximization, and railway disruption management. She employs methodologies such as Lagrangian decomposition, mixed-integer programming, and stochastic modeling to bridge behavioral sciences with optimization challenges. Key research outputs include pioneering work on choice-based optimization models, facility location under penalties, and traffic state estimation using connected vehicle data. Her research has been published in top journals like Transportation Research Part B and Computers & Operations Research . Pacheco Paneque collaborates with institutions and industry partners to advance practical applications of her models. Her ORCID profile (0000-0003-2192-7510) and email meritxell.pacheco@unifr.ch provide access to her full body of work.

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

David Schindl is a Lecturer in the Department of Informatics at the University of Fribourg's Faculty of Management, Economics and Social Sciences, with his primary appointment at Haute Ecole de Gestion (HEG) Geneva since 2008. His research bridges graph theory and combinatorial optimization with practical applications in logistics, vehicle routing, and academic timetabling systems. Education: PhD in Mathematics, EPFL, 2004 Research Interests: Dr. Schindl specializes in theoretical graph structures—including k-community detection, clique-width parameterization, and EPG graphs—with direct applications to transportation logistics, waste management, and educational scheduling. His work on course/exam timetabling at HEG since 2012 demonstrates his commitment to solving real-world operational challenges through mathematical optimization. Research Trends: Analysis of his 2020-2025 publications reveals sustained focus on community structures in graph classes and width-parameterized algorithms, alongside growing emphasis on sustainable logistics. His waste collection project exemplifies the environmental application of combinatorial optimization to reduce municipal fuel consumption and emissions. Grants and Projects: Efficient and sustainable waste collection (2019-2022): Funded by Innovation, this project developed optimization algorithms for waste collection routing in Swiss municipalities using electric vehicles and intermediate depots to minimize environmental impact. Teaching: At the University of Fribourg, he teaches decision support and graph theory courses. At HEG Geneva, he delivers instruction in statistics and mathematics for economics students, emphasizing practical applications of quantitative methods.

David Bommesمشاهده پروفایل

استاد

• Computer Graphics
• Geometry Processing
• Hexahedral Meshing
• +۴ مورد دیگر

Prof. David Bommes is a Professor and Head of the Computer Graphics Group (CGG) at the University of Bern's Institute of Computer Science. He specializes in geometry processing, with a focus on hexahedral and quad mesh generation, volumetric mapping, and parametrization quantization. His work bridges theoretical computer science and practical applications in computational geometry, geology, and engineering. Research Interests: His key areas include hex meshing, frame field synthesis, topology optimization, and robust mesh construction. He explores methods to generate high-quality meshes for simulations and modeling, often addressing challenges in non-manifold structures and boundary layer representations. Recent advancements include progressive embedding for tetrahedral maps and quantization techniques for hexahedral meshes. Publications: Over 20 publications since 2004 cover topics like parametrization quantization, subdivision surfaces for geological modeling, and automatic differentiation tools. His 2023 work on expansion cones and 2022 survey on hex-mesh processing highlight his leadership in this domain. Labs/Teams: Directs the CGG, a research group advancing computational geometry and graphics. Collaborates on projects involving mesh generation, geometric algorithms, and interdisciplinary applications in geology and engineering.

Zahra Ansarilariمشاهده پروفایل

مدرس

• Transportation Systems
• Transit Optimization
• Public Transit Networks
• +۲ مورد دیگر

Zahra Ansarilari is a Lecturer in the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich. She holds a PhD in Transportation Engineering from the University of Toronto and professional experience includes roles as Data Scientist at NeshanMaps and Transport Planner at AAVAND-e Tarh-o Andishe. Her research develops optimization models for public transit systems. Key research areas include synchronized timetabling, transfer coordination, and capacity-aware scheduling for multimodal networks. Methodological approaches integrate mixed-integer programming, Lagrangian relaxation, and stochastic optimization to improve passenger experience and operational efficiency. Recent publications focus on reducing transfer waiting times through novel optimization frameworks that account for vehicle capacities, dwell times, and network uncertainties. Applied work includes collaborations with transit agencies to implement scheduling improvements.

• Operations Research
• Optimization
• Logistics
• +۵ مورد دیگر

Reinhard Bürgy is a Part-Time Lecturer at the Department of Computer Science, Lucerne School of Computer Science and Information Technology, Hochschule Luzern (Lucerne University of Applied Sciences and Arts), Switzerland. He concurrently serves as a Solution Architect for Decision Support & Operations Research at Polypoint AG. His academic background includes roles as Senior Assistant and Postdoctoral Researcher at the University of Freiburg and Polytechnique Montréal. Education: PhD in Economics (Operations Research focus) from University of Freiburg (2014), Master in Business Informatics from University of Freiburg (2009). Research focuses on quantitative decision support systems for industry and services, exact/heuristic optimization methods, combinatorial optimization, integer programming, algorithms & data structures, and operations/service management. Key application areas include production planning, sustainable logistics systems, and workforce scheduling in retail and healthcare. His publications emphasize scheduling optimization (job shop, employee scheduling), logistics network design, and infrastructure resilience. Notable work includes convex cost job shop scheduling and decomposition heuristics for large-scale employee scheduling problems. Advising and grants: No specific students or grants mentioned. Active in industry-academia collaboration through Polypoint AG and prior academic roles.

• Transportation and Logistics
• Vehicle Sharing Systems
• Vehicle Routing Problems
• +۴ مورد دیگر

Ataç Selin is a Researcher at the University of Applied Sciences and Arts Western Switzerland (HES-SO), affiliated with the Interdisciplinary Institute for Business Development (IIDE) at HEIG-VD. She holds a PhD in Transportation Science from EPFL (2023) and focuses on optimizing vehicle sharing systems, logistics, and sustainable urban mobility. Her work integrates simulation-optimization frameworks to address challenges in bike/car sharing systems, electric vehicle infrastructure, and craft beer distribution logistics. Education: PhD in Transportation Science (2023), École Polytechnique Fédérale de Lausanne (EPFL) MSc in Operations Research (2016), Middle East Technical University (METU) BSc in Industrial Engineering (2013), Middle East Technical University (METU) Research Interests: Her research spans vehicle routing optimization, demand forecasting in transportation networks, and decision-making frameworks for sustainable systems. She has pioneered a holistic management framework for vehicle sharing systems, emphasizing rebalancing strategies, clustering algorithms, and environmental impact mitigation. Key Projects: "Craft Beer Distribution Optimization" (2024), funded by Innosuisse, focuses on collaborative logistics platforms for Swiss craft breweries. "Light Electric Vehicle Sharing Systems" (2024), developing decision support tools for EV infrastructure. Awards: Recipient of the EPFL EDCE Mobility Award (2021) for contributions to VSS optimization and the METU Best Graduate Performance Award (2016).