Buse Vural
A Genetic Algorithm for Split Delivery Location Routing Problems
Masterarbeit
2024

Viktoria Harmel
Combining Bayesian Estimation with Physics-Aware Neural Networks for State Estimation in Unobservable Power Grids
Masterarbeit
2024

Wan-Ting Hsieh
Data-Driven Optimization Framework for a Stochastic Inventory Replenishment Problem
Masterarbeit
2024

Julian Hund
Literature Review: Congestion-Aware Routing for Intermodal Transportation Systems
Bachelorarbeit
2024

Luis Enrique Quiroga Gonzales
Deep Calibration of Stochastic Volatility Models for Cryptocurrency Options
Bachelorarbeit
2025

Leon Buser
Comparison of mitigation strategies for renewable energy sources in legacy district heating networks
Masterarbeit
2025

Hendrik Roehl
Reinforcement Learning for Mixed Autonomy Fleet Coverage in Mobility on Demand
Masterarbeit
2025

Louis Anklam
Structured Reinforcement Learning for Autonomous Mobility on Demand Systems
Masterarbeit
2025

Lennart Bullerdiek
A Deep Reinforcement Learning Approach to Dynamic Pricing and Gig Worker Assignment for On-Demand Platforms
Masterarbeit
2025

Erim Koçoglu
Learning-Based Bilevel Optimization for Toll Design in Transportation Systems
Masterarbeit
2025