His research interests center on:
Applied Machine Learning for Wireless: Deep learning applications in wireless spectrum sensing, sharing, and cybersecurity related to RF fingerprinting, real-time learning for spectrum access in nextG architectures.
Multimodal Sensor Fusion: Combining sensor data from radio frequency sensors, LiDAR, images and radar sensors from experimental testbeds for situational assessment, enabling digital twins and autonomous vehicles.
Networked Robotics: Coordination, computation and communication for unmanned aerial autonomous systems.

Prof. Chowdhury has worked on several large-scale wireless community infrastructure projects that include the Colosseum RF/network emulator as well as the Platforms for Advanced Wireless Research project office, a joint $100 million public-private partnership between the NSF and wireless industry consortium to create city-scale testing platforms. He enjoys bridging the wireless systems and ML communities within the NSF AI Institute For Future Edge Networks And Distributed Intelligence, led by The Ohio State University.

Prof. Chowdhury was a finalist for the 2023 US Blavatnik National Awards for Young Scientists. He was also the winner of the U.S. Presidential Early Career Award for Scientists and Engineers (PECASE) in 2017, the Defense Advanced Research Projects Agency Young Faculty Award in 2017, the Office of Naval Research Director of Research Early Career Award in 2016, and the National Science Foundation (NSF) CAREER award in 2015. He is the recipient of best paper awards at IEEE GLOBECOM'19, DySPAN'19, INFOCOM'17, ICC'13,'12,'09, and ICNC'13.