OPen Positions

I have multiple openings for Ph.D. positions and one Postdoc position in the field of coding for DNA storage. The starting dates are flexible, and the positions will remain open until filled. Click here for more information and to apply.

Recent News

• • May 2024: A short version of my paper Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data got accepted to EUSIPCO 2024.

  • May 2024: Plenary talk on "Error Correction Codes for DNA storage" at the 2024 MoleculArXiV workshop in Nice, France.

  • April 2024: A short version of my paper Short Systematic Codes for Correcting Random Edit Errors in DNA Storage got accepted to IEEE ISIT 2024.

  • April 2024: My paper Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data is now available on arXiv.

  • February 2024: My paper Short Systematic Codes for Correcting Random Edit Errors in DNA Storage is now available on arXiv.

  • November 2023: Started a new position as a Junior Professor (Tenure-Track) with CNRS and Côte d'Azur University.

  • April 2023: My paper Optimal Codes Detecting Deletions in Concatenated Binary Strings Applied to Trace Reconstruction got accepted for publication in the IEEE Transactions in Information Theory.

  • April 2023: My paper Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load got accepted to IEEE ISIT 2023.

  • April 2023: Invited talk on “Optimal Codes Detecting Deletions Applied to Coded Trace Reconstruction” at the I3S Seminar in Côte d'Azur University, Sophia Antipolis, France.

  • March 2023: Invited talk on “Coded Trace Reconstruction Over Channels with Small Deletion Probabilities” at the GdR ISIS Workshop on Advances in DNA Storage in Paris, France.

  • February 2023: My paper Codes Correcting Burst and Arbitrary Erasures for Reliable Low-Latency Communication got accepted to IEEE ICASSP 2023.

  • February 2023: Invited talk on “Deletion-detecting Codes Applied to Coded Trace Reconstruction” at the Information Theory and Applications (ITA) Workshop in San Diego, USA.

  • November 2022: Invited talk on “Adaptive Stochastic Gradient Descent for Straggler-Tolerant Distributed Learning” at CY Cergy Paris University, France.

  • November 2022: Talk on “Introduction to Federated Learning” at Aalto University, Finland.

  • April 2022: My paper Coding for Trace Reconstruction Over Multiple Channels With Vanishing Deletion Probabilities got accepted to IEEE ISIT 2022. 

  • May 2021: My two papers got accepted to IEEE ISIT 2021: 

1. S. Kas Hanna and R. Bitar, Detecting Deletions and Insertions in Concatenated Strings with Optimal Redundancy.

2. R. Bitar, S. Kas Hanna, N. Polianskii, and I. Vorobyev, Optimal Codes Correcting Localized Deletions. 

• April 2021: My paper Codes for Correcting Localized Deletions appeared in the IEEE Transactions on Information Theory.

Short Bio

Serge Kas Hanna is a junior professor at CNRS and Côte d'Azur University. Previously, he was a senior researcher at Aalto University (2022-2023) and a senior researcher and lecturer at the Technical University of Munich (2020-2022). He received an engineering degree in computer and communications engineering and a master’s degree in information and communication systems from Lebanese University (2015), and a Ph.D. degree in electrical and computer engineering from Rutgers University (2020). His research interests are in the broad area of information and coding theory, with a focus on coding for deletions and insertions, low-latency communications, and federated/distributed machine learning.