Amal Feriani

Machine Learning Research Engineer

About

I am a machine learning research engineer at Samsung AI Center. I’m currently working on various projects involving large language models, indoor localization, and wireless communications. Before joining Samsung, I worked as an ML engineer in different countries focusing on deploying computer vision models on devices.

I received an M.S. in Data Science from the University of Paris Dauphine in 2016 and an M.Sc. in Machine Learning and Wireless Communication from the University of Manitoba in 2021. During my Master’s, I focused on using reinforcement learning techniques to solve wireless communication problems.

For the full list of my publications, please check my Google Scholar profile. Please feel free to reach out if you want to collaborate. I’m always interested in working on new research problems.

Slides/Talks

  • Introduction to channel estimation. [Slides]
  • Introduction to retrieval augmented LLMs. [Slides]
  • Continual Learning-Based MIMO Channel Estimation @ ICC 2023 [Slides]
  • Agent-based Models meets Reinforcement Learning @ ICLR 2022 [Slides]
  • AI/ML for Distributed Sensing and Learning in a networked environment [Slides]
  • Tutorial on Distributed Optimization, ECE 7670 @ UofM 2021 [Slides]