Igor Kadota

Igor Kadota is an Assistant Professor in the Department of Electrical and Computer Engineering at Northwestern University. His research focuses on developing theoretical models and practical implementations for next-generation communication networks, with an emphasis on emerging applications such as the Internet-of-Things, Smart-City Intersections, and Shared Augmented Reality. His work integrates rigorous theory, system implementation, and machine learning applications. Kadota's research has been published in top-tier conferences and journals, including IEEE INFOCOM, WiOpt, and the IEEE Journal of Solid State Circuits.

Igor Kadota is an Assistant Professor at Northwestern University specializing in Wireless Networks, Computer Networks, Network Optimization, and Testbeds. His research focuses on improving information freshness in wireless networks through age of information (AoI) metrics, scheduling policies, and throughput constraints. He explores optimization techniques for minimizing AoI in broadcast and random access networks with stochastic arrivals. Kadota also investigates full-duplex communication systems, including self-interference cancellation and spectrum consumption models for dynamic spectrum access. His work bridges theoretical analysis with practical implementations, such as the WiFresh and Wiswarm projects, and leverages testbeds like COSMOS for experimental validation.