Krish Eswaran
Krish Eswaran is a senior staff engineer interested in health, climate, artificial intelligence, and scalable applications of technology in the real world. He has published in fields ranging from medical imaging, information theory, wireless communication, and deep learning. At Google, he has led research efforts applying artificial intelligence to address applied research problems in health, along with efforts to scale YouTube's Emmy-award-winning video processing and transcoding systems.
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Secrecy via Sources and Channels
Vinod Prabhakaran
Kannan Ramchandran
IEEE Transactions on Information Theory, vol. 58 (2012), pp. 6747-6765
Cognitive radio through primary control feedback
Michael Gastpar
Kannan Ramchandran
IEEE Journal on Selected Areas in Communications, vol. 29 (2011), pp. 384-393
Zero-rate feedback can achieve the empirical capacity
Anand Sarwate
Anant Sahai
Michael Gastpar
IEEE Transactions on Information Theory, vol. 56 (2010), pp. 25-39
