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Technical University of Munich
Technical University of Munich

Student supervision

PhD Students

  1. Maximilian Egger, supervised by Prof. Antonia Wachter-Zeh, January 2022.
  2. Christoph Hofmeister, supervised by Prof. Antonia Wachter-Zeh, October 2021.
  3. Luis Maßny, supervised by Prof. Antonia Wachter-Zeh, October 2021.

Master Theses

  1. Tim Janz, "Secure Locally Repairable Codes via Skew Polynomials", co-supervised with Prof. Frank Kschischang and Lia Liu, October 2022 .
  2. Maximilian Egger,  "Exploring while Exploiting Workers for Efficient Distributed Machine Learning", submitted in January 2022.
  3. Ana Lomashvili, "Coding for Distributed Coordinate Gradient Descent", co-supervised with Dr. Serge Kas Hanna, submitted in January 2022.
  4. Christoph Hofmeister, "Private, Secure and Flexible Distributed Machine Learning on the Cloud", co-supervised with Marvin Xhemrishi, submitted in September 2021.

Internships

  1. Sinan Yercan, "Codes Correcting Bursts of Deletions and Insertions", co-supervised with Lorenz Welter, September 2022.
  2. Danial Dehghani. "Coding for DNA storage", co-supervised with Lorenz Welter, September 2022.
  3. Yue Xia, "Secure Federated Learning", co-supervised with two PhD students, August-October 2022.
  4. Abhinav Vaishaya, "Coding for Blockchains", co-supervised with two PhD students, July 2022.
  5. Afonso De Sá Delgado Neto, "Secure Record Linkage via Multi-Party Computation", co-supervised with three PhD students, July-October 2022.
  6. Cengizhan Kaya, "An Implementation Framework for Federated Learning", co-supervised with two PhD students, July-October 2022.
  7. Tim Janz, "Efficient Implementation of Sum-rank Metric Codes", co-supervised with Prof. Frank Kschischang, September 2021 - February 2022.
  8. Anirudh Ramesh, "Distributed Machine Learning on the Cloud", July-December 2021.
  9. Evagoras Stylianou, "Criss-Cross Insertion and Deletion Correcting Codes", co-supervised with Lorenz Welter, August-December 2021.
  10. Leopold Thomas, "Implementation and Comparison of Approximate Gradient Codes", March-December 2021.
  11. Georg Grießing, "Adaptive Compute Strategies for Distributed Learning", April-September 2021.
  12. Ana Lomashvili, "Analysis of Criss-Cross Deletions in Arrays", co-supervised with Lorenz Welter, August-January 2021.
  13. Manav Moodi, "Implementing Different Distributed Gradient Descent Methods on Amazon EC2", May-July 2020.
  14. Sijie Li, "Network Coding with Myopic Adversaries", March-September 2020.
  15. Esben Klarlund, "Search Efficient Blockchain-Based Immutable Logging and Querying", May-September 2018.
  16. Peiwen Tian, "Implementing Staircase Codes on Amazon EC2 clusters" May-September 2016.

Bachelor Thesis

  1. Amine Ben Dhiab, "Implementation of Distributed Coordinate Descent", co-supervised with Dr. Serge Kas Hanna, June-October 2022.
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