Tareq Si Salem

Postdoctoral Research Associate,  Electrical and Computer Engineering

Contact

Research Focus

His research interests revolve around computer networks, modeling, machine learning, and learning with system constraints (e.g., privacy, safety, fairness, memory, communication).

About

He is currently a postdoctoral research associate at Northeastern University (Boston, MA). He received his M.Sc. (2019) and Ph.D. (2022) in Computer Science from Université Côte d’Azur; he was hosted by Inria Sophia Antipolis during his Ph.D. program. He held a long-term visiting appointment at Delft University of Technology (TU Delft) in 2022. He received a Best Paper Award at ITC 33. His research interests revolve around computer networks, modeling, learning, and learning with system constraints (e.g., privacy, safety, fairness, memory, communication).

Education

Ph.D. (2022), University of Côte d’Azur and Inria, Nice, France

MS. (2019), University of Côte d’Azur, Nice, France

BS. (2015) and MS. (2017), Institut de Génie Électrique et Électronique, Boumerdes, Algeria

Honors & Awards

Best paper award at the 33rd International Teletraffic Congress (2021)

Excellence prize d’Université Côte d’Azur (2021)

Research Overview

His research interests revolve around computer networks, modeling, machine learning, and learning with system constraints (e.g., privacy, safety, fairness, memory, communication).

Selected Publications

Ph.D. Thesis

Online Learning for Network Resource Allocation
Tareq Si Salem
Defended at Inria Sophia-Antipolis on October, 17th, 2022.

Peer-reviewed Journal Papers

No-Regret Caching via Online Mirror Descent
Tareq Si Salem‬, and Giovanni Neglia, and Stratis Ioannidis.
ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS), 2023.

Enabling Long-term Fairness in Dynamic Resource Allocation
Tareq Si Salem, George Iosifidis‬, and Giovanni Neglia.
Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2022.

Ascent Similarity Caching with Approximate Indexes
Tareq Si Salem, Giovanni Neglia and Damiano Carra.
IEEE/ACM Transactions on Networking, 2022.

GRADES: Gradient Descent for Similarity Caching
Anirudh Sabnis, Tareq Si Salem, Giovanni Neglia, Michele Garetto, Emilio Leonardi, and Ramesh K. Sitaraman.
IEEE/ACM Transactions on Networking, 2022.

Online Caching Networks with Adversarial Guarantees
Yuanyuan Li, Tareq Si Salem, Giovanni Neglia, and Stratis Ioannidis.
Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2021.

Peer-reviewed Conference Papers

Enabling Long-term Fairness in Dynamic Resource Allocation
Tareq Si Salem, George Iosifidis‬, and Giovanni Neglia.
ACM SIGMETRICS, Orlando, Florida, USA, 2023.

Online Caching Networks with Adversarial Guarantees
Yuanyuan Li, Tareq Si Salem, Giovanni Neglia, and Stratis Ioannidis.
ACM SIGMETRICS, Mumbai, India, 2022.

AÇAI: Ascent Similarity Caching with Approximate Indexes
Tareq Si Salem, Giovanni Neglia and Damiano Carra.
International Teletraffic Congress (ITC 33), 2021.

Towards Inference Delivery Networks: Distributing Machine Learning with Optimality Guarantees
Tareq Si Salem, Gabriele Castellano, Giovanni Neglia, Fabio Pianese, and Andrea Araldo.
Mediterranean Communication and Computer Networking Conference (MedComNet 2021), 2021.

No-Regret Caching via Online Mirror Descent
Tareq Si Salem, Giovanni Neglia, and Stratis Ioannidis.
IEEE International Conference on Communications (ICC 2021), 2021

GRADES: Gradient Descent for Similarity Caching
Anirudh Sabnis, Tareq Si Salem, Giovanni Neglia, Michele Garetto, Emilio Leonardi, and Ramesh K. Sitaraman.
IEEE International Conference on Computer Communications (INFOCOM 2021), 2021.