Capabilities across networking, embedded and IoT systems, AI and control, simulation and digital twins, wireless sensing, and programming.
Design and evaluation of application- and transport-layer protocols, age-aware and goal-oriented flow control, and delay-tolerant networking.
End-to-end IoT development: firmware, hardware integration, sensor interfacing, gateways and field deployment of low-power nodes.
Deep and reinforcement learning applied to networking, HVAC control and sensing, including meta-learning for transfer across environments.
Packet-level simulation, network emulation, discrete-event modelling of energy-constrained networks, and building-energy digital twins.
Software-defined radio experimentation, device-free sensing and localization, and satellite communication studies.
Advanced Python and C++, with day-to-day work on Linux and Windows.