Professor

Kannan Ramchandran

PhD students

 

Giulia Fanti

Giulia is interested in privacy-preserving algorithms and dissent networking. She got her B.S. in Electrical and Computer Engineering from Olin College in Massachusetts, and her M.S. in Electrical Engineering and Computer Science from U.C. Berkeley.

 

Kangwook Lee

Kangwook works on scalable content distribution systems and distributed storage systems. He is focusing on how redundant requests and storage codes can improve performance of such systems. He is a recipient of the KFAS Fellowship 2010 - 2015. He received his M.S. in Electrical Engineering and Computer Science from UC Berkeley in 2012 and B.S. in Eletrcial Engineering from Korea Advanced Institute of Science and Technology(KAIST) in 2010.

 

Rashmi K V

Rashmi is interested in both theoretical and practical challenges that arise in storage and analysis of big data. This broadly includes the areas of coding theory, computer systems, and statistics and machine learning. She is a recipient of the Facebook Fellowship 2012-13, the Microsoft Research PhD Fellowship 2013-15, and the IEEE Data Storage Best Paper and Best Student Paper awards for the years 2011 & 2012.

 

Nihar B Shah

Nihar's research interests lie in machine learning, coding theory and algorithm design. He is a recipient of the Microsoft Research PhD Fellowship 2014-16, the Berkeley Fellowship 2011-13 and the IEEE Data Storage Best Paper and Best Student Paper awards for the years 2011 & 2012. Nihar is co-advised by Martin Wainwright.

Post-docs

 

Xiao Simon LI

Simon's research interests span the following areas: Statistical Signal Processing, Sampling Theory and Compressed Sensing, High Dimensional Statistical Inference and Learning, Distributed Optimization and Adaptive Learning, and Information Processing for Smart Grid. He obtained his Ph.D. degree from UC Davis in 2013, under the supervision of Prof. Anna Scaglione.

 

Dimitris Papailiopoulos

Dimitris is interested in information and coding theory and algorithms for large graphs. His research focuses on spectral and combinatorial algorithms for big graph analytics, and the design of erasure codes for large-scale distributed storage systems. He is interested in providing solutions that are provably good in theory, and are also implementable in real world systems.

Current Collaborators

David Tse

Martin Wainwright

Frank Ong

Sreeram Kannan

Soheil Mohajer

Undergrads

Ashvin Nair

Rohan Varma

Former students and post-docs

Joseph Bradley

Sameer Pawar, Intel

Venkatesan Ekambaram, Qualcomm

Hao Zhang, Facebook

Nebojsa Milosavljevic, Cisco Meraki

Salim ElRouayheb, Illinois Institute of Technology

Nan Ma, Yammer

Longbo Huang, Tsinghua University

Krishnan Eshwaran, Google

Mark Johnson, Tarana Wireless

Alyson Fletcher, University of California, Santa Cruz

Chuohao Yeo, Institute for Infocomm Research

Abhik Majumdar, Vidora

Animesh Kumar, Indian Institute of Technology, Bombay

Vinod Prabhakaran, Tata Institute of Fundamental Research

Dragan Petrovic, Qualcomm Atheros

Ben Wild, Iotera

Dan Schonberg, Amazon

June Wang, Facebook

Alexander Dimakis, University of Texas at Austin

Wei Wang, Facebook

Prakash Ishwar, Boston University

Sandeep Pradhan, University of Michigan at Ann Arbor

Rohit Puri, Netflix

Shekar Tatikonda, Yale University

Stark Draper, University of Wisconsin, Madison

Sergio Servetto, Cornell University

Julius Kusuma, Schlumberger

Raghavan Anand, Blue Jeans Network