Scientific Report on TUM-IAS Fellowship 2021
Our research lies in coding theory and cryptography with applications to privacy, security, storage, and machine learning. In this collaboration, we have worked on code-based cryptography to make our data resilient against capable quantum computers; coding for DNA-based data storage, to enable long-term high-density data storage; distributed data storage and private information retrieval. full report …
Scientific Report on TUM-IAS Fellowship 2020
The focus of our group is on coding theory and its application in different settings. full report ...
Short CV
Prof. Wachter-Zeh started her engineering studies at Baden-Wuerttemberg Cooperative State University (DHBW) in cooperation with Airbus (Dipl.-Ing. (BA)/B.Sc. equivalent, 2007). In 2009, she received an M.Sc. Degree (with distinction) in electrical engineering with focus on communications and systems technology from Ulm University. She received her PhD (summa cum laude) in 2013 from Ulm University, Germany, and from University of Rennes 1, France.
From 2013 to 2016, she was a postdoctoral researcher at the Computer Science Department of Technion—Israel Institute of Technology in Haifa, Israel. Her host was Tuvi Etzion and she was working mainly on network coding and coding for flash memories.
Since October 2016, Prof. Wachter-Zeh has been a Rudolf Mößbauer Tenure Track Assistant Professor at TUM.
Selected Awards
- 2018, ERC Starting Grant
- 2018, Heinz Maier-Leibnitz Prize
- 2016, DFG Emmy Noether Program
- 2015-2016, Marie Skłodowska-Curie Individual Fellowship, Horizon 2020, European Commission
- 2013-2015, Minerva Postdoctoral Fellowship
- 2013, Dissertation Award of „Ulmer Universitätsgesellschaft“
- 2013, Prix de Thèse, Édition 2013, Fondation Rennes 1
- 2011, Scholarship for bi-national PhD thesis (Cotutelle de thèse), Deutsch-Französische Hochschule (DFH)
- 2010, VDE Award, Ulm University, granted for Master’s degree
- 2008, ARGUS Award, EADS Deutschland GmbH, granted for Bachelor’s thesis
Research Interest
The research of Prof. Wachter-Zeh (born 1985) focuses on error-correcting codes and their application to communication systems and data storage. She works on algebraic coding theory (Reed-Solomon, BCH, rank-metric codes) and efficient decoding algorithms. Further, especially codes for data storage in non-volatile memories, such as flash memories and phase change memories, and coding for distributed data storage systems are in the focus of her research. She also deals with correcting insertions and deletions and is interested in secure data transmission and storage and how to achieve it with code-based cryptosystems.
Selected Publications
A full list of publications can be found here.
Netanel Raviv, Antonia Wachter-Zeh, "Some Gabidulin Codes Cannot be List Decoded Efficiently at any Radius,” IEEE Transactions on Information Theory, Vol. 62, No. 4 (2016), pp. 1605-1615.
Tuvi Etzion, Elisa Gorla, Alberto Ravagnani, Antonia Wachter-Zeh, "Optimal Ferrers Diagram Rank-Metric Codes,” IEEE Transactions on Information Theory, Vol. 62, No. 4 (2016), pp. 1616-1630.
Antonia Wachter-Zeh, Eitan Yaakobi, "Codes for Partially Stuck-at Memory Cells,” IEEE Transactions on Information Theory, Vol. 62, No. 2 (2016), pp. 639-654.
Antonia Wachter-Zeh, Markus Stinner, Vladimir Sidorenko, "Convolutional Codes in Rank Metric with Application to Random Network Coding,” IEEE Transactions on Information Theory, Vol. 61, No. 6 (2015), pp. 3199-3213.
Antonia Wachter-Zeh, Alexander Zeh, Martin Bossert, "Decoding Interleaved Reed--Solomon Codes Beyond their Joint Error-Correcting Capability," Designs, Codes and Cryptography, Vol. 71, No. 2 (2014), pp. 261-281.
Antonia Wachter-Zeh, "Bounds on List Decoding of Rank-Metric Codes,” IEEE Transactions on Information Theory, Vol. 59, No. 11 (2013), pp. 7268-7277.
Antonia Wachter-Zeh, Valentin Afanassiev, Vladimir Sidorenko, "Fast Decoding of Gabidulin Codes," Designs, Codes and Cryptography, Vol. 66, No. 1-3 (2013), pp. 57-73.
Antonia Wachter, Vladimir Sidorenko, Martin Bossert, Victor Zyablov, "On (Partial) Unit Memory Codes Based on Gabidulin Codes," Problems of Information Transmission, Vol. 47, No. 2. (2011), pp. 38-51.
Tuvi Etzion, Antonia Wachter-Zeh, “Vector Network Coding Based on Subspace Codes Outperforms Scalar Linear Network Coding,” in IEEE International Symposium on Information Theory (ISIT), Jul. 2016, Barcelona, Spain.
Antonia Wachter-Zeh, “List Decoding of Crisscross Error Patterns,” in IEEE International Symposium on Information Theory (ISIT), Jul. 2014, Honolulu, HI, USA.
Publications as TUM-IAS-Fellow
