Megumi Kaneko

Megumi Kaneko is a professor at the National Institute of Informatics (NII) in Japan, affiliated with the University of Tokyo's Department of Computer Science. Her research focuses on wireless networks, mobile communications, and IoT wireless systems, with an emphasis on improving spectrum and energy efficiency for future wireless communication systems. Her work addresses challenges such as low power consumption, massive IoT connectivity, and the integration of terrestrial, aerial, and underwater networks. She collaborates with international institutions and companies, including CNRS, Paris-Saclay University, and NTT, and has led projects such as the ANR/JST Edge AI LIGHT-SWIFT initiative.

Megumi Kaneko is a professor at the National Institute of Informatics and the University of Tokyo, specializing in wireless communications and resource allocation optimization. Her research focuses on enhancing the performance of LoRa IoT systems through energy efficiency and AI-enabled solutions. She has published extensively on topics such as throughput analysis, resource allocation algorithms, and collision resolution protocols for LoRa networks. Her work also explores cooperative diversity schemes, multi-carrier systems, and energy-efficient localization in underwater sensor networks. Kaneko's research integrates advanced optimization techniques with machine learning to address challenges in wireless communication systems.