BASiCS – Members
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 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.
Orhan is interested in signal processing, in particular, sparsity regularized inverse problems. He obtained his B.S. from Bogazici University in 2012 and M.S. from EPFL in 2014.
Dong is interested in information and coding theory, machine learning, and signal processing, especially the theoretical aspects of these areas. He obtained his B.S. from Tsinghua University in 2014.
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 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.
Ramtin's research interests are broadly in the area of applied probability. His research focuses on designing and analyzing provably efficient algorithms for practically-relevant problems in machine learning, signal processing, network control, and transportation systems. Ramtin obtained his PhD in May 2015 from the EECS Department at UC Berkeley.
Former students and post-docs
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