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, Massachusetts. He was a visiting researcher (2022) at Delft University of Technology, The Netherlands.
His research interests lie at the intersection of machine learning, networking, and modeling, with a focus on learning with system constraints (e.g., privacy, safety, fairness, memory, and communication). His work has been published in top academic conferences and journals, including the IEEE/ACM ToN, ACM ToMPECS, ACM SIGMETRICS, ITC, and IEEE INFOCOM. He also received the Best Paper Award at the 33rd International Teletraffic Congress (ITC'33) in 2021.

News

• Preprint and Dataset released on goal-oriented foundation models for time-series forecasting (Lead researcher for this study)
• Supervised student L. Fechete from École Polytechnique (BX25), resulting in an A+ thesis
• Paper (poster) was accepted to NeurIPS (Bayesian Decision-making)
• I joined Huawei Paris Research Center (2024)