Mayank Bakshi
Assistant Professor
information engineering
Learning Sciences and Technologies, Centre for (CLST)
Hong Kong
Biography
MAYANK BAKSHI work at the Institute of Network Coding at The Chinese University of Hong Kong and am part of the CAN-DO-IT team. Earlier, MAYANK BAKSHI was a PhD student at California Institute of Technology. MAYANK BAKSHI was in the Data Compression Lab with Prof. Michelle Effros. Much of my research focuses on Multiuser and Network Information Theory. In my PhD, MAYANK BAKSHI studied large networks from an information theoretic point of view and explored techniques for the design and analysis of such systems. MAYANK BAKSHI also work on Sparse Recovery problems such as Compressive Sensing and Group Testing.
Research Interest
Information Theory and its applications Sparse Recovery Network Coding Network Information Theory Error Correctio
Publications
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SHO-FA: Robust compressive sensing with order-optimal complexity, measurements, and bits
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On achievable rates for multicast in the presence of side information
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Reliable deniable communication: Hiding messages in noise
