Upcoming Seminars

📅 Safak Yucel (Georgetown University)
🗓 Monday, February  16, 2026 | ⏰ 16:15 – 17:45 | 📍 Room: PLM-F-103/104

Additionality of Carbon Offsets: Project-Specific vs. Standardized Baselines
Safak Yucel is an Associate Professor of Operations Management (with tenure) at the McDonough School of Business, Georgetown University. Prof. Yucel is also the associate director of the Business of Sustainability Initiative. His main research interests are in sustainable operations, with a focus on renewable energy. He is also interested in the economic and environmental implications of new business models. 

Research Seminar: Additionality of Carbon Offsets

📅 Alfred Müller (Siegen University)
🗓 Monday, February  23, 2026 | ⏰ 16:15 – 17:45 | 📍 Room: PLM-F-103/104

Multivariate Almost Stochastic Dominance and Optional Transport
Decision-making usually involves several unknown attributes. This produces a double challenge in the sense that both assessing the individual multiattribute preferences and assessing the joint distribution of the attributes can be extremely hard. 

Research Seminar: Multivariate Almost Stochastic Dominance

📅 Huseyin Gurkan (ESMT Berlin)
🗓 Monday, March 3, 2026 | ⏰ 16:15 – 17:45 | 📍 Room: PLM-F-103/104

Information Design in Supply Chains with Priority Suppliers
Huseyin Gurkan is an Associate Professor of Management Science (with tenure) at ESMT Berlin.  His research interests are focused on addressing operational issues in cases where system objectives (e.g., maximizing revenue, social welfare) are not aligned with incentives of self-interested, economic agents. In particular, Huseyin conducts research on designing mechanisms/rules to efficiently operate dynamic systems where companies/organizations repeatedly interact with their customers/members.

📅 Sergiy Butenko (Texas A&M University)
🗓 Monday, March 9, 2026 | ⏰ 16:15 – 17:45 | 📍 Room: PLM-F-103/104

Optimization Approaches to Cluster Analysis in Networks
Sergyi Butenko is Professor of Industrial and Systems Engineeringprofessor at Texas A&M University. His research concentrates mainly on global and discrete optimization and their applications. In particular, he is interested in theoretical and computational aspects of continuous global optimization approaches for solving discrete optimization problems on graphs. Applications of interest include network-based data mining, analysis of biological and social networks, wireless ad hoc and sensor networks, and energy.

📅 Stefan Nickel (Texas A&M University)
🗓 Monday, March 16, 2026 | ⏰ 16:15 – 17:45 | 📍 Room: PLM-F-103/104

Towards Data Driven Location Science (DDLS)
As Head of the Chair of Discrete Optimization and Logistics, and as a business mathematician with a doctorate and post-doctorate in mathematics, his work deals with the systematic conception, development and application of mathematical models for the analysis and optimization of processes occurring in practice. These can be in various fields, such as logistics or the healthcare sector.

📅 Ivana Ljubic (ESSEC Business School)
🗓 Monday, March 23, 2026 | ⏰ 16:15 – 17:45 | 📍 Room: PLM-F-103/104

Bilevel Problems with Gamma-Robust Followers: Exact and Heuristic
Ivana Ljubic is Full Professor in Operations Research at ESSEC. She teaches Decision Analysis, Optimal Decision Making, Operations Research (OR) and Business Mathematics in ESSEC. Research interests of Ivana Ljubic include combinatorial optimization, optimization under uncertainty, bilevel optimization. She uses tools and methods of mixed integer (non-) linear programming, meta-heuristics and their successful combinations for solving optimization problems with applications in network design, telecommunications, transportation, logistics, routing and bioinformatics. 

📅 Stan Iancu (S tanford University)
🗓 Monday, March 30, 2026 | ⏰ 16:15 – 17:45 | 📍 Room: PLM-F-103/104

Managing Sustainable Food Systems
Dan Iancu is an Associate Professor of operations, information and technology at Stanford Graduate School of Business. Prof. Iancu’s research interests lie at the interface of operations, finance, and risk management. His work develops new tools for dynamic optimization under uncertainty and prescriptive analytics, and applies them to study operational and contracting problems in complex value chains. An area of particular focus in his recent work has been the design of better procurement, payment, and financing solutions in global supply chains, where material and financial flows carry both immediate and long-term impact on the lives of millions of people, and on the environment. 

📅 Tobias Sutter (University of St. Gallen)
🗓 Monday, April 13, 2026 | ⏰ 16:15 – 17:45 | 📍 Room: PLM-F-103/104

Asymptotic Optimality in Data-Driven Decision Making
Prof. Dr. Tobias Sutter is Associate Professor of Econometrics at the University of St.Gallen. His research focuses on the statistical foundations of algorithmic decision making. At the core is the question of how data can be used to make informed decisions in complex and uncertain environments. He is particularly interested in optimal policy learning in dynamic economic systems and in data-driven decision making under uncertainty. His work draws on methods from reinforcement learning, optimal control, stochastic optimization, and mathematical programming. The aim is to contribute both to theoretical understanding and to the development of robust and scalable algorithmic solutions for practical applications.

📅 Uta Mohring (University Zurich)
🗓 Monday, April 27, 2026 | ⏰ 16:15 – 17:45 | 📍 Room: PLM-F-103/104

Ride-hailing networks with strategic drivers: The effects of driver wage policies and network characteristics
Uta Mohring is an Assistant Professor of Services and Operations Management at the Department of Business Administration. Her research centers on prescriptive decision-making models for service operations, logistics and transportation, with a particular focus on the design and control of stochastic systems and networks with strategic agents, especially in logistics as well as shared-mobility and on-demand transportation settings.

📅 Natalie Huang (Rutgers University–Camden School of Business)
🗓 Monday, May 4, 2026 | ⏰ 16:15 – 17:45 | 📍 Room: PLM-F-103/104

Dr. Natalie Huang is an Assistant Professor at the Rutgers University–Camden School of Business. With a strong foundation in mathematics and a multidisciplinary background in operations management and finance, her research focuses on sustainable operations and environmental regulation, and has been published in leading journals such as Management Science, Manufacturing & Service Operations Management, and Production and Operations Management.