Mixed Integer Linear Programming Professors and Supervisors in Switzerland

André BardowView profile

Professor

ETH ZurichSwitzerland

André Bardow is a Full Professor at the Department of Mechanical and Process Engineering, ETH Zürich. His research focuses on energy systems optimization, life cycle assessment, computer-aided molecular design, and CO2 capture/utilization. Professor (ETH Zürich, 2020–present) Head of Institute of Technical Thermodynamics (RWTH Aachen University, 2010–2020) Visiting Professor (University of California, Santa Barbara, 2015/16) Part-time Director (Forschungszentrum Jülich, 2017–2022) Associate Professor (TU Delft, 2007–2010) Research Interests: His work spans energy and process systems engineering, with emphasis on sustainable technologies. Key areas include: Computer-aided molecular and process design Machine learning for chemical engineering Carbon capture and utilization (CCU) Life cycle assessment (LCA) of industrial processes Thermo-economic modeling of energy systems Multiphase equilibrium analysis Publication Trends: Recent articles focus on integrating machine learning with process design, optimizing CO2 capture in steel production, and advancing electrochemical cooling technologies. Subfields include sustainable plastics, ORC working fluids, and solvent mixture design. Scientific Awards: Fellow of the Royal Chemical Society Recent Innovative Contribution Award (EFCE, 2019) PSE Model-Based Innovation Prize (2018) Covestro Science Award (first recipient) Arnold-Eucken-Award (VDI-GVC) Highly Cited Researcher (Clarivate, 2024) Advising and Grants: Professor Bardow mentors students in process optimization and leads projects like Systemic expansion of territorial CIRCULAR Ecosystems for end-of-life FOAM (Grant 101036854, EC).

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Norbert TrautmannView profile

Professor

University of BernSwitzerland

Prof. Dr. Norbert Trautmann is a Full Professor of Quantitative Methods in Business Administration at the University of Bern, leading the Group for Business Analytics, Operations Research, and Quantitative Methods. He holds a PhD from the University of Karlsruhe (2000) and a Habilitation degree in Operations Research from the University of Karlsruhe (2004). His research focuses on Combinatorial Optimization , Project Management , Production Planning , and Portfolio Optimization . Prof. Trautmann has extensive professional experience, including roles as Head of the Department of Business Administration (2010–2012), and leadership in academic societies like the Swiss Operations Research Society (President since 2017). He has authored over 100 peer-reviewed publications and supervised numerous PhD students, including Philipp Baumann, Adrian Zimmermann, and Tom Rihm. His research has led to awards such as the 2010 IEEE Honourable Mention Award and the 2001 German Society of Operations Research Doctoral Thesis Award. Key projects include scheduling optimization for assessment centers, production planning in process industries, and portfolio tracking models for small investors.

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Maryam KamgarpourView profile

Assistant Professor

Swiss Federal Institute of Technology in LausanneSwitzerland

Maryam Kamgarpour is a Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL), School of Engineering. She previously held faculty positions at the University of British Columbia and ETH Zürich. Her work bridges stochastic control , multiagent learning , and game theory , focusing on safety-critical systems. Education: PhD in Engineering from UC Berkeley, BSc in Applied Science from University of Waterloo. Research Interests: Control under uncertainty, game theory, mechanism design, mixed-integer optimization, and applications to transportation, robotics, power grids, and healthcare. Her recent publications emphasize safe reinforcement learning , multirobot coordination , and stochastic trajectory planning , with applications to aircraft navigation and energy systems. She has received the European Union ERC Starting Grant, NASA High Potential Individual Award, and IEEE Transactions on Control of Network Systems Outstanding Paper Award. Scientific Awards: ERC Starting Grant (2016-2021) NASA High Potential Individual Award (2010) NASA Excellence in Publication Award IEEE Outstanding Paper Award (2022) PhD Students: Jordan Philip Christopher Maddux Anna Maria Ni Tingting Ren Kai Salizzoni Giulio Schlaginhaufen Andreas Vaishampayan Saurabh Dilip Vallat Gabriel Rémi Former EPFL student: Guo Baiwei

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Ethan Monaghan AckelsbergView profile

Researcher

Swiss Federal Institute of Technology in LausanneSwitzerland

Ethan Monaghan Ackelsberg is a postdoctoral researcher at the Institute of Mathematics, École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences (SB) and the Ergodic Theory group (ERG). He also holds a lecturing position in the SMA-ENS program within the SB-SMA department at EPFL, focusing on teaching mathematics. His research bridges ergodic theory, Ramsey theory, and combinatorial number theory, with a focus on recurrence properties and polynomial configurations. Education: PhD in Mathematics from Ohio State University (2022), MS in Mathematics (2019), BA in Mathematics and Physics from Bard College at Simon's Rock (2016). Ethan's research explores measure-preserving actions of abelian groups, polynomial patterns in large subsets, and connections to number theory. His recent work includes advancements in equidistribution in nilpotent groups and counterexamples to Erdős-type problems. He has received academic honors including summa cum laude at Bard College and highest honors from Budapest Semesters in Mathematics. Ethan actively contributes to teaching, including courses on measure theory.

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Florian PommereningView profile

Professor

University of BaselSwitzerland

Dr. Florian Pommerening is a Professor at the Department of Mathematics and Computer Science within the Faculty of Science at the University of Basel, Switzerland. He holds an email address of florian.pommerening@unibas.ch and can be reached via +41 61 207 05 37. His academic career is deeply rooted in classical domain-independent planning, with a focus on optimal planning through heuristic search and the application of linear and mixed integer programming in planning domains. University of Basel, Switzerland Faculty of Science Department of Mathematics and Computer Science Professor Rank Florian completed his PhD at the University of Basel in 2017 under the supervision of Malte Helmert. He also holds a Master's degree in Computer Science from the University of Freiburg (2012) and a Master's in Information Technology from Monash University (2010). His research spans topics such as classical planning, heuristic search, linear programming, mixed integer programming, and automated planning systems. His publication record from 2012 to 2025 demonstrates sustained contributions to planning algorithms, including cost partitioning heuristics, Lagrangian decomposition, and transition landmark generation. His work has been recognized with multiple awards, including the ICAPS 2024 Influential Paper Award, ECAI 2023 Quality Champion PC award, and the Dux of the Master of Information Technology at Monash University. ICAPS 2024 Influential Paper Award Quality Champion PC award (ECAI 2023) Runner Up, Best Student Paper Award (ICAPS 2023) CoRe Challenge 2022 Awards Best Student Paper Runner-Up (ICAPS 2022) Best System Demonstration (ICAPS 2022) Outstanding Senior Program Committee Award (AAAI 2021) ICAPS 2019 Best Paper Award Faculty Award 2018 (University of Basel) EurAI Artificial Intelligence Dissertation Award 2017 ICAPS 2018 Best Dissertation Award Outstanding PC Member Award (SoCS 2016) Winner, Unsolvability IPC 2016 AAAI 2015 Outstanding Paper Award ICAPS 2014 Outstanding Paper Award Dux of the Master of Information Technology 2010 (Monash University) Florian actively contributes to the planning community through tutorials at AAAI 2019 and ICAPS 2015, and through software development such as the Fast Downward planner and Planutils framework. His notable side project includes creating a quine in the Shakespeare Programming Language (SPL) with Thomas Mayer, showcasing technical creativity beyond core research.

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Jonas SchnidrigView profile

Lecturer

Swiss Federal Institute of Technology in LausanneSwitzerland

Jonas Schnidrig is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering (STI) and the School of Architecture, Civil and Environmental Engineering (ENAC). He works as an External Employee in the SCI STI FM Group at EPFL Valais Wallis, based at the IPESE institute in Sion. His research focuses on sustainable energy policy and planning, specializing in energy system modeling, optimization, and decision support for the energy transition. He actively bridges research, industry, government, and society by developing strategies that balance ecological, social, and economic dimensions of energy transitions. Dr. Schnidrig's educational background includes: PhD in Mechanical Engineering (Energy and Technologies) from EPFL-HES-So Valais Wallis (2020-2024) Master's in Mechanical Engineering (Thermodynamics & Energetics) from EPFL (2018-2020) Bachelor's in Mechanical Engineering from EPFL (2013-2018) His research interests span sustainable energy system modeling, life cycle assessment, renewable energy planning, rational use of energy, and thermoeconomic optimization. He specializes in energy system integration, incorporating sustainability metrics into energy planning, policy support for sustainable energy transitions, and renewable energy finance and infrastructure planning. His work emphasizes a life-cycle perspective to evaluate the ecological, social, and economic dimensions of energy systems. Analysis of his recent publications reveals a strong focus on decentralized energy systems, multi-actor energy planning, and the integration of environmental metrics into energy modeling. His research demonstrates how strategic decentralization can reduce system costs by up to 10% while increasing self-consumption by up to 68%. He has pioneered methodologies that integrate life-cycle impact assessment into energy system modeling, showing potential for 15-47% cost reductions alongside 31-81% reductions in environmental impacts. His notable scientific achievement includes: Zanelli Prize for outstanding contribution to sustainable development (2020) Dr. Schnidrig coordinates the EnergyScope Community, which brings together over 50 researchers and practitioners, and contributes to major international projects including EnergyScope Community, Net Zero Valais, and collaborations with Polytechnique Montréal, Hydro Québec, and Swiss energy institutions. He supervises semester and master projects at EPFL and teaches the course "Sustainability, climate and energy" (ENV-421). He leads research on digital twins for cities within the Blue City project and focuses on understanding the role of infrastructure in high share renewable energy systems, investigating synergies across different scales, and developing sustainable energy systems that align economic efficiency with environmental sustainability.

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Roland SchwanView profile

Researcher

Swiss Federal Institute of Technology in LausanneSwitzerland

Roland Schwan is a researcher at the Automatic Control Laboratory (LA) within the School of Engineering at the École Polytechnique Fédérale de Lausanne (EPFL) . His work focuses on control systems, optimization algorithms, and the integration of machine learning with physical models. He is actively involved in projects involving model predictive control (MPC), stability verification of neural network controllers, and real-time optimization-based control for robotics applications. His research interests span physics-informed machine learning , quadratic programming solvers , and embedded systems . Key contributions include the development of the PIQP solver for convex quadratic programming and stability analysis frameworks for neural network controllers. He has also explored applications in hovercraft dynamics identification and rocket trajectory control using advanced MPC techniques. Schwan collaborates closely with institutions like the Swiss National Science Foundation and has published extensively in venues such as IEEE Transactions on Automatic Control and IEEE Conference on Decision and Control . His work bridges theoretical control methodologies with practical embedded system implementations.

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Robert WeismantelView profile

Professor

ETH ZurichSwitzerland

Robert Weismantel serves as Full Professor at ETH Zürich's Department of Mathematics and Deputy Head of the Institute for Operations Research. His research establishes foundational frameworks for Mixed Integer Optimization across linear, convex, and nonlinear domains, with significant theoretical contributions to algorithm design and computational complexity. His primary research domains include: Mixed Integer Linear Optimization using cutting plane methods based on lattice-free polyhedra Mixed Integer Convex Optimization combining polytope shrinking techniques with convex programming Mixed Integer Nonlinear Optimization focusing on convex relaxations for chemical engineering applications Polynomial Optimization in fixed dimensions with combinatorial substructure analysis Professor Weismantel's methodological innovations bridge discrete and continuous optimization, particularly through Mirror-Descent Methods and Lipschitz-continuous function minimization over integer points. His work demonstrates practical applications in chemical engineering through the SFB/TR 63 InPROMPT research collaboration. With an extensive supervision record spanning over two decades, he has guided 17 doctoral students to completion and mentored two successful habilitations. Current advisee Sabrina Bruckmeier continues this legacy of training optimization specialists. His research group maintains active projects including Mixed Integer Convex Minimization with Timm Oertel, Integer Polynomial Optimization with Kevin Zemmer, and Mixed-Integer Nonlinear Optimization applications with Martin Ballerstein and Dennis Michaels. The team operates within ETH's Institute for Operations Research, contributing to both theoretical advances and practical implementations of optimization algorithms.

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Georgia PierrouView profile

Research Fellow

ETH ZurichSwitzerland

Dr. Georgia Pierrou is a Research Fellow at ETH Zurich's Power Systems Laboratory, specializing in dynamic analysis, optimization, and control of electric power systems integrating renewable energy and electrified transportation. She holds a PhD from McGill University and a M.Eng. from National Technical University of Athens. Her research focuses on developing data-driven methods for power system stability, wide-area voltage control using PMUs, and optimal integration of electric vehicles in railway energy systems. She investigates renewable energy coordination, grid resilience against cyber threats, and stochastic modeling of power system dynamics. Her publications show consistent focus on renewable-integrated power systems, with recent work emphasizing EV charging optimization in transportation networks and physics-informed data methods for grid management. Awards & Honors: Future Digileaders (2023) Best Poster Award (2023) EECS Rising Stars (2022) D.W. Ambridge Prize (2022) Green Talents Award (2021) AQPER Student Contest Finalist (2020) McGill GREAT Award (2019) Constantina N. Frangouli Scholarship (2019) George Kontaxis Award (2018) Stiftung Mercator Scholarship (2016) She leads projects including RailPower for future railway energy systems and teaches power system dynamics, optimization, and sustainable energy courses at ETH Zurich. She mentors students in power systems research and sustainable mobility solutions.

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Iñaki Rodríguez-LongarelaView profile

Researcher

University of ZurichSwitzerland

Iñaki Rodríguez-Longarela is a researcher at Stockholm Business School, Stockholm University , with a focus on finance, quantitative finance, and market microstructure. His work spans empirical finance, asset pricing, and educational technology applications. Affiliation : Stockholm Business School, Stockholm University Research Interests : Finance Quantitative Finance Asset Pricing Options Markets Portfolio Theory Market Microstructure Publication Trends : His research covers empirical finance (nonstandard errors, liquidity), options market inefficiencies, portfolio optimization using stochastic dominance, and innovative educational technology applications. Key collaborations include work with Silvia Mayoral and Thierry Post. Teaching Innovation : Investigates student engagement in online vs. classroom settings, focusing on attention metrics and flipped learning methodologies.

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O. ScailletView profile

Research Fellow

University of ZurichSwitzerland

Olivier Scaillet is a Research Fellow at the Swiss Finance Institute, affiliated with the University of Geneva. His work spans financial econometrics, quantitative finance, and risk management, with a focus on stochastic volatility models, copulas, and high-frequency data analysis. Research Interests : Financial econometrics and nonparametric estimation Stochastic volatility and jump-diffusion models Asset pricing and factor models in large panels Systemic risk and recovery rate density estimation Machine learning applications in finance Market microstructure and high-frequency data dynamics Scientific Contributions : Developed methodologies for nonstandard error analysis in multi-analyst studies Advanced techniques for testing stochastic dominance efficiency and latent factor models Explored copula-based goodness-of-fit tests and threshold effects in time series Innovated in American option pricing under complex market conditions

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Bozorg MokhtarView profile

Associate Professor

Western Switzerland University of Applied SciencesSwitzerland

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).

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Meritxell Pacheco PanequeView profile

Academic

University of FribourgSwitzerland

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.

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