Debashri Roy
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Debashri Roy is an Associate Research Scientist at the Department of Electrical and Computer Engineering, Northeastern University. She works at Next Generation Networks and Systems (GENESYS) Lab, directed by Prof. Kaushik Roy Chowdhury. She received her Ph.D. degree in Computer Science under the supervision of Dr. Mainak Chatterjee in Spring 2020 from the Department of Computer Science, University of Central Florida. She also received a Master of Science (Spring 2018) in Computer Science from the University of Central Florida. Prior to this, she received a Master of Engineering (2013) in Information and Communication Engineering and a Bachelor of Engineering (2009) in Information Technology, both from the Indian Institute of Engineering Science and Technology, Shibpur, India.
Her current research interests are Multimodal Beamforming, mmWave Communications, Networked Robotics, Radio Frequency Machine Learning Systems (RFMLs), Generative Adversarial Nets, Real-time Video Transmission, Vehicular Networks, Dynamic Spectrum Access.
Debashri Roy is an Associate Research Scientist at the Department of Electrical and Computer Engineering, Northeastern University. She works at Next Generation Networks and Systems (GENESYS) Lab, directed by Prof. Kaushik Roy Chowdhury. She received her Ph.D. degree in Computer Science under the supervision of Dr. Mainak Chatterjee in Spring 2020 from the Department of Computer Science, University of Central Florida. She also received a Master of Science (Spring 2018) in Computer Science from the University of Central Florida. Prior to this, she received a Master of Engineering (2013) in Information and Communication Engineering and a Bachelor of Engineering (2009) in Information Technology, both from the Indian Institute of Engineering Science and Technology, Shibpur, India.
Her current research interests are Multimodal Beamforming, mmWave Communications, Networked Robotics, Radio Frequency Machine Learning Systems (RFMLs), Generative Adversarial Nets, Real-time Video Transmission, Vehicular Networks, Dynamic Spectrum Access.