Research Interests

  • Channel characterization, modeling, and estimation
    • Practical MIMO-OFDM
    • AI-based channel estimation
    • Theoretical channel modeling
  • Radio access network (RAN)
    • 3GPP and O-RAN
    • Air interfaces
  • AI/ML for wireless communications
    • Deep reinforcement learning for radio resource management
    • Unsupervised learning for resource optimization
    • Supervised learning for performance analysis, channel prediction
    • Federated learning for security vulnerability detection
  • Telecommunications and wireless communications
    • Fundamentals of wireless communications
    • Statistics and probability for telecommunications
    • Software-defined radio (SDR)-based wireless communications

Research Team

  • Nghia Thinh Nguyen, PhD student
    • Principal Supervisor at Polytechnique Montréal
    • Topic: AI-Native Telecommunication (ANT) Systems
  • Yosefine Triwidyastuti, PhD student
    • Research Collaboration with Prof. Beongku An at Hongik University, South Korea
    • Topic: On the Security of RIS-aided Wireless Communications
  • Thien Hieu Hoang, PhD student
    • Research Collaboration with Prof. Georges Kaddoum at École de technologie supérieure (ÉTS Montréal)
    • Topic: AI-Enabled Channel Estimation for Non-Terrestrial Networks
  • Zoubeir Mlika, Postdoc
    • Research Collaboration with Prof. François Leduc-Primeau and Prof. Jean-François Frigon at Polytechnique Montréal
    • Topic: Online Beam Tracking and Resource Allocation using Deep Reinforcement Learning