Current
Ahcen Aliouat, Post-doctoral researcher, July 2023 – June 2024, « Source/Channel coding schemes for Machine Learning », co-advised with François-Xavier Socheleau
Yann Miguet, PhD student, November 2024 – October 2027, « Information Theory for Machine Learning over Compressed Data », co-advised with Philippe Mary
Simon Brown, PhD Student, January 2024 – October 2028, « Channel coding for the design of energy-efficient memories », co-advised with François Leduc-Primeau
Aref Ezzeddine, PhD student, November 2022 – October 2025, « Error-correction codes for DNA data storage », co-advised with Emmanuel Boutillon
Ahmad Ismail, PhD student, November 2022 – October 2025, Deep-Learning aided design and decoding of LDPC codes, co-advised with Raphaël Le Bidan
Past
Jiahui Wei, PhD student, October 2021 – December 2024, defense the 13th of December 2024, « Information-theoretic analysis for distributed regression and classification problems », co-advised with Philippe Mary
Ismaila Salihou Adamou, PhD student, December 2021 – December 2024, defense the 9th of December 2024, « Information-theoretic bounds and practical coding schemes for Distributed Hypothesis Testing (DHT) », co-advised with Tadashi Matsumoto
Jonathan Kern, PhD student, « Energy-Efficient Machine-Learning Algorithms », October 2019 – May 2023, defense the 5th of May 2023, co-advised with François Leduc-Primeau and Abdejdjalil Aïssa El Bey
Belaïd Hamoum, PhD student, « Error-correction codes for DNA storage », September 2019 – December 2022 defense the 13th of December 2022, co-advised with Laura Conde-Canencia
Alireza Tasdighi, Post-doctoral researcher, May 2020 – June 2022, « Deep Learning aided LDPC code and decoders design », co-advised with Raphaël Le Bidan
Mohamed Yaoumi, PhD student, November 2017 – December 2020, defense the 14th of December 2020, « Energy-Efficient LDPC codes and decoders », co-advised with François Leduc-Primeau and Frederic Guilloud
Khaled Alhaj Ali, Post-doctoral researcher, April 2020 – December 2020, « Memristor-based in memory energy-efficient computing « , co-advised with Amer Baghdadi and Mathieu Léonardon
Fangping Ye, PhD student, November 2016 – December 2019, defense the 2nd of December 2019, « Source-coding based on LDPC codes for Massive Random Access », co-advised with Karine Amis
Mai Quyen Pham, Post-doctoral researcher, April 2018 – August 2019, « Graph optimization for Massive Random Access », co-advised with Thomas Maugey and Aline Roumy
Zeina Mheich, Post-doctoral fellow, February 2016 – August 2017, « Design of short-length non-binary LDPC codes », co-advised with Frederic Guilloud and Raphaël Le Bidan