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M Umit Atalay Nil Uzun Ayse Guliz Bilgin Altinoz M H FERRI ALIABADI Luo Guoqing DR GIULIANOALLEGRI Wasim Orfali PETER BEARMAN Hisham Tolbah Li Lihua Sunil Bhooshan DR PAUL BRUCE Xue Lingyun Daniel E. Acuna Prof. Dr. Ghanshyam Singh Yahya Kemal BAYKAL Li Dujuan Dr. Pradeep Kumar HE CHUN Dr. Rajiv Kumar View MoreMAYANK BAKSHI
Assistant Professor
information engineering
Learning Sciences and Technologies, Centre for (CLST)
Hong Kong
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.
Information Theory and its applications Sparse Recovery Network Coding Network Information Theory Error Correctio