Education

Courses

2024/2025 

• Data Science and Artificial Intelligence for Engineers | CEGM2003 
• Machine Learning for Graph Data | CS4350 
• Modeling Uncertainty and Data for Engineers | CEGM1000 
• Mutimedia Analysis | CSE2230 
• Signal Processing | CSE2220   

2023/2024  

• Data Science and Artificial Intelligence for Engineers | CEGM2003 
• Machine Learning for Graph Data | CS4350 
• Modeling Uncertainty and Data for Engineers | CEGM1000 
• Research skills 1 | CIE5431 
• Mutimedia Analysis | CSE2230 
• Signal Processing | CSE2220   

2022/2023  

• Data Science and Artificial Intelligence for Engineers | CEGM2003 
• Machine Learning for Graph Data | CS4350 
• Modeling Uncertainty and Data for Engineers | CEGM1000 
• Research skills 1 | CIE5431 
• Mutimedia Analysis | CSE2230 
• Signal Processing | CSE2220   

2021/2022 

• Applied Machine Learning | CS4305TU 
• Research skills 1 | CIE5431 
• Mutimedia Analysis | CSE2230 
• Signal Processing | CSE2220   

2020/2021  

• Applied Machine Learning | CS4305TU 
• Research skills 1 | CIE5431 
• Mutimedia Analysis | CSE2230 

2019/2020  

• Research skills 1 | CIE5431 
• Mutimedia Analysis | CSE2230 
• Signal Processing | CSE2220   

Master projects

Openings​​​​​​​

• AC Optimal Data Generation (ACODG) for Power System Security (2022/2023)
• Graph Neural Networks for Security-Constrained Optimal Power Flow (2022/2023)
• Estimating the Flexibility Evolution in Active Distribution Grids (2022/2023)
• Neural Ordinary Differential Equations for Power System Dynamics (2022/2023)
• Optimal PMU Placement for Flexibility and State Estimation (2022/2023)
• Non-intrusive Load Monitoring of the Electricity Consumption (2022/2023)
• Coordinated Control of Virtual Power Plants for Frequency Stability (2022/2023)
• Offering Strategies of Virtual Power Plants in Ancillary Service Markets Based on Stochastic Programming (2022/2023)

Ongoing​​​​​​​

• Data-Driven Adaptive Dynamic Equivalents of Active Distribution and Transmission Networks, Alex Neagu, Jochen Cremer (2022/2023)
• End-to-end learning for N-k SC-OPF, Bastien Giraud, Jochen Cremer (2022/2023)
• Reinforcement learning for transmission network topology control, Geert Jan Meppelink, Jochen Cremer (2022/2023)
• Market Mechanism Design for Virtual Inertia, Johnny Zheng, Jochen Cremer (2022/2023)

Finished​​​​​​​

• Neural Ordinary Differential Equations for Frequency Dynamics, Nila Krishnakumar, Jochen Cremer (2022/2023)
• Offering Strategies of Virtual Power Plants in Ancillary Service Markets Based on Stochastic Programming, Torben Zeller, Jochen Cremer (2022/2023)
• Energy Community Management with Reinforcement Learning, Catarina Santos Neves, Jochen Cremer (2022/2023)
• Multivariable Anomaly Detection Framework for Multi-sensor Network, Jingru Feng, Peyman Mohajerin Esfahani (2022/2023)
• Transferring Domain Knowledge to Data-driven Controller, Lex Razoux Schultz, Peyman Mohajerin Esfahani (2022/2023)
• Multi-Modal End-to-End Learning for Real-Time Monitoring of Sustainable Energy Systems, Rushil Vohra, Jochen Cremer (2022/2023)
• Deep Statistical Solver for Distribution System State Estimation, Benjamin Habib, Jochen Cremer (2022/2023)
• Meter placement for state estimation in distribution networks, Sattama Datta, Jochen Cremer (2022/2023)
• End-to-End Learning for Sustainable Energy Scheduling, Dariush Wahdany, Jochen Cremer (2021/2022)
• Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response, Jasper van Tilburg, Jochen Cremer (2021/2022)
• On the Road from Active Inference to Regret Minimization, Jesse Coehoorn, Peyman Mohajerin Esfahani (2021/2022)
• Conjugate Dynamic Programming, Charalampos Rodopoulos, Peyman Mohajerin Esfahani (2021/2022)
• Tractable Algorithms for Large Scale Mixed Integer Quadratic Programming: A Principal Component Analysis Approach, Robbie Vreugdenhil, Peyman Mohajerin Esfahani (2021/2022)
• Learning Parametric Mixed Integer Quadratic Programming via Inverse Optimization, Milan Dankovic, Peyman Mohajerin Esfahani (2021/2022)
• On Complexity of Data-driven Controls in Stochastic Environments, Ioannis Dimanidis, Peyman Mohajerin Esfahani (2021/2022)