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 Machine Learning for Electrical Engineering | EE4C12 Dynamic Programming and Stochastic Control | SC42110 Statistical Signal Processing | SC42150 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 Machine Learning for Electrical Engineering | EE4C12 Dynamic Programming and Stochastic Control | SC42110 Statistical Signal Processing | SC42150 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 Machine Learning for Electrical Engineering | EE4C12 Dynamic Programming and Stochastic Control | SC42110 Statistical Signal Processing | SC42150 2021/2022 Applied Machine Learning | CS4305TU Research skills 1 | CIE5431 Mutimedia Analysis | CSE2230 Signal Processing | CSE2220 Dynamic Programming and Stochastic Control | SC42110 Statistical Signal Processing | SC42150 2020/2021 Applied Machine Learning | CS4305TU Research skills 1 | CIE5431 Mutimedia Analysis | CSE2230 Dynamic Programming and Stochastic Control | SC42110 Statistical Signal Processing | SC42150 2019/2020 Research skills 1 | CIE5431 Mutimedia Analysis | CSE2230 Signal Processing | CSE2220 Dynamic Programming and Stochastic Control | SC42110 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)