Teaching Experiences
- Coordinator and Lecturer, Stochastic Models and Inventory Control (Master’s), Erasmus University Rotterdam, 2025–2026 Fall, 2024–2025 Fall
- Lecturer, Seminar Logistic Case Studies, Erasmus University Rotterdam, 2025–2026 Fall, 2024–2025 Fall, 2023–2024 Fall
- Coordinator and Lecturer, Advanced Inventory Supply Chain Management (Master’s), Erasmus University Rotterdam, 2023–2024 Fall
- Lecturer, Engineering Economic Analysis, Bilkent University, 2022–2023 Fall
- Teaching Assistant, Introduction to Modelling and Optimization, Bilkent University, 2019–2022
- Received the ‘Outstanding Teaching Assistance Award’
- Teaching Assistant, Production System Design-Synthesis/Practice, Bilkent University, 2015–2018
- Student Assistant, Engineering Economic Analysis, Bilkent University (Undergraduate), 2014 – 2015
- Student Assistant, A Process Outlook for Industrial Engineering, Bilkent University (Undergraduate), 2014 – 2015
Supervision
Ph.D. Students
- Ehsan Aghamohammadzadeh (Rotterdam School of Management, from 2024). Topic: Managing Resilient Hydrogen-Renewable Microgrids. Co-supervisor: Yashar Ghiassi-Farrokhfal, Promotor: Merieke Stevens
- Tobias Kers (Erasmus School of Economics, from 2024). Topic: Real-Time Battery Energy Storage Operations. Promotors: Rommert Dekker and Wilco van den Heuvel
M.Sc. Students
- Beatriz Valle-Inclan Guia, “Optimal Multi-Use Policies for Battery Energy Storage Systems in Renewable Energy Integration”
- Eva van Joolen, “Smart Sharing: Optimizing Household Access to Energy Storage Systems”
- (In progress) Donna Zegwaart, “Anticipatory Action for Multi-Hazard Management” [Collaboration with The Netherlands Red Cross]
- Doga Aksen, 2025, “Data-Driven Offshore Wind Power Forecasting: A Machine Learning Approach” [Collaboration with TenneT]
- Amber Dassen, 2025, “A Stochastic Programming Approach to Optimising Battery Configuration and Operation for Residential Photovoltaic Energy Systems”
- Gijs Margadant, 2025, “Dynamic Condition-Based Maintenance and Inventory Policy Optimization Using Remaining Useful Life Predictions and Partially Observable Monte Carlo Planning” [Collaboration with Konecranes]
- Alexander Neutel, 2025, “Quantitative Modeling of Long-Term Electricity Price Profiles in the Netherlands: Impacts of Renewable Integration on Market Dynamics” [Collaboration with Quo Mare]
- Julian Tribble, 2025, “Price Spikes, Volatility, and Cross-Market Dynamics in Electricity Markets: A Hybrid Modeling Approach”
- Diede Verkaik, 2025, “Transmission Dynamics and Antimicrobial Resistance in Helicobacter pylori: A Simulation-Based Approach” [Collaboration with Erasmus MC]
- Clementine van den Biesen, 2024, “Extreme Power Price Dynamics in Electricity Markets: A Profit Optimization Strategy for Battery Storage”
B.Sc. Students
- Wolf Bekkers, 2024, “An Approximate Dynamic Programming Approach for Scheduling Home Energy Management Systems”
- Milan van den Diepstraten, 2024, “Improving Efficiency of Electric Water Heaters for Demand Response Optimization”
- Sophie van Groesen, 2024, “Optimal Demand Response Management for a Battery-PV Prosumer”
- Celine Kornet, 2024, “Optimal Appliance Operation with Multiple Operational Time Slots and Seasonal Scheduling”