Recent News:

• June 2023: Our four papers Maximal-Capacity Discrete Memoryless Channel Identification, Private Aggregation in Wireless Federated Learning with Heterogeneous Clusters, Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load and Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance were presented at International Symposium on Information Theory (ISIT) 2023 in Taipei

• April 2023: Our paper Hide and Seek: Using Occlusion Techniques for Side-Channel Leakage Attribution in CNNs was accepted for presentation at Artificial Intelligence in Hardware Security Workshop 2023 in Tokyo.

• March 2023: Awarded DAAD Scholarship for Research Stay at Imperial College London, Great Britain.

• March 2023: Co-Organizer of the Joint Workshop on Communications and Coding 2023 in Garmisch, Germany.

• October 2022: Elected as doctoral representative for the Department of Computer Engineering and the TUM School of Computation, Information and Technology.

• August 2022: Our paper Efficient Private Storage of Sparse Machine Learning Data was presented at Information Theory Workshop (ITW) 2022 in Mumbai.

• August 2022: Main organizer of TUM ICE Workshop 2022 in Raitenhaslach, Germany.

Short Biography:

• February  - May 2023: Three-Months Research Stay with Prof. Dr. Deniz Gündüz at Imperial College London, Great Britain.

• Since January 2022: Doctoral Researcher at the Institute for Communications Engineering under supervision of Prof. Dr.-Ing. Antonia Wachter-Zeh

• February 2022: Master of Science degree in Electrical Engineering and Information Technology from the Technical University of Munich with high distinction (final grade: 1.0)

• February 2020: Bachelor of Engineering degree in Electrical Engineering from University of Applied Sciences with high distinction (final grade: 1.0)

• January 2019: Successfully completed professional education as electronics technician for industrial systems with 99 of 100 reachable points

• September 2015 - February 2020: Dual Studies (bachelors combined with apprenticeship and multiple temporary engineering positions) at Hilti AG, Kaufering, Germany

Research Interests:

• Distributed Machine Learning

• Efficiency in distributed matrix multiplication and (stochastic) gradient descent

• Privacy preserving coded distributed computing and federated learning

• Security in decentralized learning

• Channel capacity estimation and optimization

Awards:

• March 2023: DAAD Scholarship for Research Stay at Imperial College London.

• November 2020: VDE Award Bavaria 2020.

• September 2019: Best vocational qualification 2019 - Chamber of Industry and Commerce (IHK) of Munich and Upper Bavaria.

• March 2019 - December 2021: Scholarship recipient of the "Studienstiftung des deutschen Volkes" (German Academic Scholarship Foundation).

• November 2018: Participant at the gP Primus promotion program of the University of Applied Sciences in Augsburg.