About Me
Tareq Si Salem (طارق سي سالم, ⵜⴰⵔⵉⵇ ⵙⵉ ⵙⴰⵍⴻⵎ) is a researcher at Huawei Paris Research Center. He received his Ph.D. (2022) in Computer Science from Université Côte d'Azur and Inria Sophia Antipolis. He was a Postdoctoral Research Associate (2024) at Northeastern University, Boston, and a visiting researcher (2022) at Delft University of Technology.
His research interests lie at the intersection of machine learning and mathematical modeling, focusing on learning under system constraints such as privacy, safety, fairness, memory, and communication. His work has been published in top venues including IEEE/ACM ToN, ACM SIGMETRICS, AAAI, and IEEE INFOCOM, and received the Best Paper Award at ITC'33 in 2021.
Recent News
- Preprint & Dataset Released (2025): Goal-oriented time-series forecasting. Short paper accepted at NeurIPS 2025 — Recent Advances in Time Series Foundation Models Workshop, San Diego, California. Full Paper Accepted at AAAI Conference on Artificial Intelligence (A*, 17.6% AR) 2026, Singapore.
- Hiring (2025) [closed]: Recruiting a CIFRE Ph.D. student in collaboration with EURECOM on machine learning for time-series modeling. Interested candidates are encouraged to reach out via email.
Selected Publications
Goal-Oriented Time-Series Forecasting: Foundation Framework Design
Authors: Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed, Nicola Piovesan, Wenjie Li, Antonio De Domenico, Tareq Si Salem (lead researcher)
AAAI (A*, 17.6% AR), Singapore, 2026
Online Submodular Maximization via Online Convex Optimization
Authors: Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, Stratis Ioannidis
AAAI (A*, 23% AR), Vancouver, Canada, 2024
Enabling Long-term Fairness in Dynamic Resource Allocation
Authors: Tareq Si Salem, George Iosifidis, Giovanni Neglia
ACM SIGMETRICS (A*, 15% AR), Orlando, Florida, USA, 2023
Ascent Similarity Caching with Approximate Indexes
Authors: Tareq Si Salem, Giovanni Neglia, Damiano Carra
IEEE/ACM Transactions on Networking (Best Paper ITC'33), 2022
GRADES: Gradient Descent for Similarity Caching
Authors: Anirudh Sabnis, Tareq Si Salem, Giovanni Neglia, Michele Garetto, Emilio Leonardi, Ramesh K. Sitaraman
IEEE INFOCOM (A*, 19% AR), 2021