My research investigates how learning, sensing, communications and computation can be combined to create intelligent systems capable of operating under real-world constraints.
Deep learning • transformers • generative AI • ensemble learning • transfer learning • domain adaptation • predictive analytics • time-series forecasting • anomaly detection • explainable AI • intelligent decision support.
Object detection • image segmentation • visual inspection • human activity recognition • autonomous monitoring • 2D-to-3D reconstruction • smart agriculture • intelligent infrastructure • assistive technologies.
RF/FSO systems • millimeter-wave propagation • 5G/6G • satellite communications • channel modeling • radio propagation • intelligent communication networks • AI-enabled QoS prediction • reconfigurable intelligent surfaces.
Industrial IoT • distributed sensing • edge/cloud systems • embedded intelligence • remote monitoring • smart factories • predictive maintenance • intelligent infrastructure.
Renewable energy • hybrid energy systems • demand-side management • smart grids • intelligent monitoring • AI forecasting • energy optimization • digital twins.
UAVs • embedded robotics • BCI-controlled systems • autonomous monitoring • human-machine interaction • smart mobility • intelligent control.
Low-resource language technology • assistive AI • digital inclusion • AI governance • data privacy • responsible technology • rural/community innovation.
My scholarly trajectory connects more than two decades of engineering research with contemporary work in artificial intelligence, intelligent systems, communications, IoT, computer vision and cyber-physical infrastructure.
Graduate education is one of the most important responsibilities of a senior academic. My supervision and mentorship experience spans master's, doctoral and postdoctoral researchers working across AI, computer vision, intelligent systems, communications, 5G, optical systems, optimization, renewable energy, robotics and EEG/BCI.
Start with an important, tractable research problem.
Develop defensible methods.
Test assumptions and evidence rigorously.
Write and present research clearly.
Contribute knowledge responsibly.
Develop independence and the ability to mentor others.
I encourage graduate researchers to develop:
Featured publications, funded programs and the laboratories where this research happens.
Publications Funding Portfolio Laboratories