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”