Fatemeh Lotfi

Fatemeh Lotfi

PhD Candidate | AI & Reinforcement Learning for Wireless Networks | Deep Learning | Multi-Agent Systems | 5G/6G | O-RAN
Electrical Engineering
Clemson University

Welcome to my personal website!

I am a Ph.D. candidate in the Holcombe Department of Electrical and Computer Engineering at Clemson University under supervision of Dr. Fatemeh Afghah. My research focuses on artificial intelligence and deep reinforcement learning for dynamic optimization in wireless communication systems, particularly Open RAN and multi-agent environments.

Prior to joining Clemson, I was a research assistant in the College of Engineering and Applied Science at University of Colorado Colorado Springs, where I worked on semantic-aware reinforcement learning for communication networks. I hold an M.Sc. in Electrical Engineering from the University of Tehran and a B.Sc. from Iran university of Science and Technology.

My work bridges theory and application—developing adaptive AI solutions that are robust, scalable, and grounded in real-world communication challenges.

Research Interests

  1. 5G, 6G
  2. Wireless Communications
  3. AI/ ML in Wireless Networks
  4. Reinforcement Learning approach over Wireless Networks

News

  • [2024 November] Passed Ph.D. Comprehensive Exam.
  • [2024 October] Our Journal paper on “[Joint path planning and power allocation of a cellular-connected UAV using apprenticeship learning via deep inverse reinforcement learning] ((https://www.sciencedirect.com/science/article/pii/S1389128624006212))” has been accepted to Computer Networks.
  • [2023 October] Presented conference paper “[Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning] ((https://ieeexplore.ieee.org/abstract/document/10476972))” in “IEEE 2023 Asilomar Conference on Signals, Systems, and Computers”, Pacific Grove, CA, USA.
  • [2023 August] Our conference paper on “[Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning] ((https://ieeexplore.ieee.org/abstract/document/10476972))” has been accepted to IEEE Asilomar 2023.
  • [2023 August] Our conference paper on “[Attention-based Open RAN Slice Management using Deep Reinforcement Learning] ((https://ieeexplore.ieee.org/abstract/document/10436850))” has been accepted to IEEE Globecom 2023.
  • [2023 March] Passed Ph.D. Qualification Exam.
  • [2022 December] Presented conference paper “Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN” virtually in IEEE Global Communications Conference (GLOBECOM) at Rio de Janeiro, Brazil.
  • [2022 May] Presented conference paper “Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks” virtually in IEEE International Conference on Communications (ICC) at Seoul, Korea.
  • [2021 April] Presented conference paper “Performance Analysis and Optimization of Uplink Cellular Networks with Flexible Frame Structure” virtually in IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) at Helsinki, Finland.
  • [2022 August] Joined Clemson University as an Ph.D. Student.
  • [2021 January] Joined University of Colorado Colorado Springs as an Research Assistant.