Completed Master Projects

at TU Delft

• Marco Delgado Schwartz, Spring 2023
  MSc thesis: Topology generation for Co-Design of HEVs, joint project with TNO

• Casper Dirk van Peijpe, Summer 2023
  MSc thesis: Fault Isolation and Estimation for High-End Industrial Printer, joint project with Canon

• Youyuan Long, Fall 2023
  MSc thesis: High Capacity Model in Data-Driven Inverse Optimization
  >> Related paper: [C49] Scalable Kernel Inverse Optimization, [Code]

• Ritik Agarwal, Winter 2023
  MSc thesis: Smart Control of Slag Viscosity in the HIsarna Iron-Making Process, joint project with Tata Steel

• Can Centindag, Winter 2023
  MSc thesis: Online Impedance Parameter Adjustment for Active Knee Prosthesis Using Reinforcement Learning, joint project with Robert Mcallister and Reboocon
  >> Related paper: [C48] Harmonic RL: A Frequency-Domain Approach to Reinforcement Learning with Application to Active Knee Prosthesis

• Anand Srikrishna, Winter 2023
  MSc thesis: Automated Control Generation for a Mixed-Integer model of Powertrains, joint project with TNO

• Segher de Reij, Winter 2023
  MSc thesis: Fault Isolation for High Precision Motion Systems, joint project with ASMPT

• Pol Mur Uribe, Spring 2022
  MSc thesis: On the road from Model-Based Dynamic Programming to Model-Free Reinforcement Learning

• Yucheng Liao, Spring 2022
  MSc thesis: Non-intrusive Load Monitoring of the Electricity Consumption, joint project with Jochen Cremer
  >> Related paper: [J39] Real-Time Ground Fault Detection for Inverter-Based Microgrid Systems

• Feres Hassan, Spring 2022
  MSc thesis: Large Scale Control of Electric Vehicle Charging Stations for Aggregated Power Setpoint Tracking, joint project with GreenFlux

• Jingru Feng, Spring 2022
  MSc thesis: Multivariable Anomaly Detection Framework for Multi-sensor Network , joint project with DWa

• Bart Swens, Spring 2022
  MSc thesis: Optimal Bidirectional Electric Vehicle Charging, joint project with Sergio Grammatico and JEDLIX

• Floor Redel, Spring 2022
  MSc thesis: Scalable Dictionary Learning to Learn High-level Features
  >> Related paper: [P1] Fast Algorithm for Constrained Linear Inverse Problems, [Code]

• Piet van Beek, Spring 2022
  MSc thesis: Learning Drivers’ Preferences in Delivery Route Planning through Inverse Optimization
  >> Related paper: [J39] Inverse Optimization for Routing Problems

• George Vitanov, Winter 2022,
  MSc thesis: Transferring Domain Knowledge to Data-driven Controller, joint project with Tamas Keviczky and Tata Steel

• Pedro Vieira Oliveira, Winter 2022,
  MSc thesis: Robustness in Fault Diagnosis Applied in the Lateral Control of Automated Vehicles, joint project with Nathan van de Wouw and TNO
  >> Related paper: Robust Fault Estimation with Structured Uncertainty: Scalable Algorithms and Experimental Validation in Automated Vehicles
  >> Experiment Video

• Robbie Vreugdenhil, Fall 2021
  MSc thesis: Tractable Algorithms for Large Scale Mixed Integer Quadratic Programming: A Principal Component Analysis Approach
  >> Related paper: [C39] Principal Component Hierarchy for Sparse Quadratic Programs, [Code]

• Jesse Coehoorn, Fall 2021
  MSc thesis: On the Road from Active Inference to Regret Minimization, joint project with Martijn Wisse

• Charalampos Rodopoulos, Fall 2021
  MSc thesis: Conjugate Dynamic Programming

• Milan Dankovic, Fall 2021
  MSc thesis: Learning Parametric Mixed Integer Quadratic Programming via Inverse Optimization

• Ioannis Dimanidis, Fall 2021
  MSc thesis: On Complexity of Data-driven Controls in Stochastic Environments
  >> Related paper: [P8] Offline Reinforcement Learning via Inverse Optimization

• Quinten Rademakers, Fall 2021
  MSc thesis: From Active Detection to Fault Tolerant Systems

• Francisca Silva Cruz Guerreiro Mestre, Fall 2020
  MSc thesis: Peak Shaving in Battery Management System: A Dynamic Programming Approach

• Pedro Zattoni Scroccaro, Fall 2020
  MSc thesis: Distributionally Robust Data-driven Control

• Dennis van Rooijen, since Fall 2020
  MSc thesis: Predictive Analytics Models for Maximum Capacity of Railway Networks, joint project with Siemens

• Bram Hajee, since Fall 2020
  MSc thesis: Sensor Anomaly Detection in Smart Buildings, joint project with DWa
  >> Related paper: [C41] Health monitoring: a machine learning approach for anomaly detection in multi-sensor networks

• Adnan Akhtar, Summer 2020
  MSc thesis: Learning Complex MPC Controllers: An Inverse Optimization Approach
  >> Related paper: [J27], [Code] Learning for Control: An Inverse Optimization Approach, [Code]

• Laurens Znidarsic, Summer 2020
  MSc thesis: Model Learning in Active Inference: An Evaluation of Algorithms and their Behaviour, joint project with Martijn Wisse

• Koen van Eekelen, Spring 2020
  MSc thesis: Reticle Heating Induced Image Distortion Control, joint project with Nathan van de Wouw and ASML

• Jeroen Swart, Summer 2020
  MSc thesis: Automatic Machine Learning for Time Series Forecasting, joint project with Mist
  >> Open source code: [Link]

• Roderik Verbruggen, Spring 2020
  MSc thesis: Order Behaviour Forecast through the Lens of Customer Characteristics, joint project with Picnic

• Niels Uitterdijk, Spring 2020
  MSc thesis: Data-driven Fault Detection and Isolation in Electric Vehicle Chargers, joint project with Tritium

• Gert van Lagen, since Spring 2020
  MSc thesis: Leakage Detection in Water Distribution Networks: An Active Diagnosis Framework, joint project with Edo Abraham
  >> Related paper: [J32] A Bayesian Approach for Active Fault Isolation with an Application to Leakage Localization in Water Distribution Networks

• Gyula Max, Fall 2019
  MSc thesis: Fast Dynamic Programming
  >> Related paper: [C40] Fast Approximate Dynamic Programming for Infinite-Horizon Continuous-State Markov Decision Processes, [Code]

• Wouter Jongeneel, Fall 2019
  MSc thesis: Controlling the Unknown and End-to-end Performance
  >> Related paper: [C35] Robust Linear Quadratic Regulator: Exact Tractable Reformulation

• Patrik de Carvalho Monteiro, Spring 2019
  MSc thesis: Point-of-interest Thermal Control in Reticle Cooling, joint project with Nathan van de Wouw and ASML

• Sherin Grimbergen, Fall 2018
  MSc thesis: Autonomously Learning Dynamical Systems, joint project with Martijn Wisse

• Chris van der Ploeg, Fall 2018
  MSc thesis: Real-Time Fault Detection and Isolation for Lateral Control of an Autonomous Vehicle, joint project with TNO
  >> Related paper: [J31] Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds

• Ricard Cirera Rocosa, Spring 2017
  MSc thesis: Motion Planning for Non-holonomic Autonomous Vehicles, joint project with TNO

• Lex Razoux Schultz, Spring 2017
  MSc thesis: Automated Bipolar Sentiment Text Classification in HR Domain, joint project with Marco Loog and Focus Orange
  >> Related report: [TR1] Distance Based Source Domain Selection for Sentiment Classification

at ETH Zurich

• Maxime Thely, Fall 2016
  Title: Stochastic Programming: a Robust Quasi Monte Carlo Approach
  >> Related paper: [C26] Maximum Entropy Estimation via Gauss-LP Quadratures

• Lucas Giger, Spring 2016
  Title: Inverse Optimization for Policy Identification
  

• Maxime Thely, Spring 2016
  Title: Maximum Entropy Estimation
  

• Angeliki Kamoutsi, Fall 2015
  Title: Optimal Control Approach to Parameter Inference for Hidden Markov Models
  >> Related paper: [J11] On Infinite Linear Programming Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems
  

• Bochao Liu, Spring 2015
  Title: Portfolio Optimization for Small Investors
  

• Christian Dorn, Spring 2014
  Title: Decomposition methods for large scale optimization under uncertainty
  

• Christof Vomel, Fall 2013
  Title: Control of Large Scale Distributed Thermostatically Controlled Loads
  

• Flavio Heer, Fall 2013
  Title: Model Based Power Optimization of Wind Farms
  >> Related paper: [C16] Model Based Power Optimisation of Wind Farms

• Flavio Heer, Spring 2013
  Title: Modeling and Optimization of two Wind Turbines in a Row
  

• Tiniou Erasmia Evangelia, Spring 2012
  Title: Fault Detection and Isolation with Applications in Power Systems
  >> Related paper: [C15] Fault Detection with Discrete-time Measurements: an Application for the Cyber Security of Power Networks
  

• Thenia Panagou, Spring 2012
  Title: Detection and Isolation of Cyber-Attacks in the Automatic Generation Control
  

• Olivier Huber, Spring 2011
  Title: Comparison of Different Approaches to Tackle the Reachability Problem
  

• Tony Wood, Spring 2011
  Title: Reachability on Stochastic Continuous Time Systems: an Application in the Autonomous RC-car
  >> Related paper: [C8] Hybrid Modelling and Reachability on Autonomous RC-Cars
  

• Lukas Steinmann and David Koller, Spring 2010
  Title: Motion Planning