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  1. AI-Powered Beam Management for 6G Wireless Communications (Hiring)

  2. Autonomous Low-Power SDR Sensing and Communications (Hiring) 

  3. Extended Reality (XR) Applications and QoE over 5G Networks (Hiring)

  4. Brain Sensing and Communications: Transfer Learning for Pediatric BCI, Tiny BCI.
    A collaboration with the BCI4Kids Team at the Cumming School of Medicine to build performant and efficient pediatric BCI.


  5. AI-Powered Traffic Flow Characterization, Monitoring, and Prediction 

  6. Robust Intelligence for Beyond-5G Networks and Applications
    Tiny and efficient AI/machine learning for wireless communications. Safe reinforcement learning, transfer learning in RL for wireless communications. Research at the intersection of wireless networks and communication of extended reality and digital twins across networks.


  7. AI-Augmented Intelligent RFICs for Transmitter Predistortion for 5G and 6G Wireless and Space Communication Applications

  8. Cognitive Machine Type Communications for Massive IoT Applications (complete)
    Adaptive configured grant scheduling for factory automation, joint communication and path planning of UAVs.


  9. 5G-Assisted Autonomous Vehicles (complete)
    Anticipatory scheduling for autonomous vehicles, microscopic vehicle mobility and maneuver prediction.


  10. Machine Intelligence and Big Data Analytics for 5G Networks and Beyond (complete)                   
    Network traffic prediction using real network data, hybrid deep learning architectures for spatiotemporal mobility modeling, anticipatory network slicing using reinforcement learning, predictive mobility-aware hand-overs.


Past Projects 

These are some of the research projects and topics of interest that ​I led/co-led as an industrial partner at Ericsson Canada:

  1. Autonomous Multi-RAT Radio Resource Management for 5G (OCE ENCQOR, UOttawa)

  2. Sensor-less Sensing of 5G Application Traffic (OCE ENCQOR, Ryerson University)

  3. Navigation and Control of Drones over 5G Networks: Enhanced Communication, Adaptive Control and Drone Swarm Collision Avoidance (MITACS)

  4. Coordinated Communication and Interference Management under Network Virtualization (OCE ENCQOR, UoT)

  5. Beyond Visual Line of Sight Drones Enabled by Enhanced Mobile Broadband (OCE ENCQOR SME, IndroRobotics):  

  6. Distributed Edge Caching using Multi-Agent Reinforcement Learning (MITACS, McGill)

  7. Spatial and Temporal Prediction of Wireless Communication Channels for 5G (OCE ENCQOR, UoT)

  8. Situation-Aware Machine Type Communications (OCE ENCQOR, Western University)


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