BASiCS – Members

Professor

 

Kannan Ramchandran

Kannan's research interests are broadly in the area of distributed systems theory and algorithms intersecting the fields of signal processing, communications, coding and information theory, and networking. His current systems focus is on large-scale distributed storage, large-scale collaborative video content delivery, and biological systems, with research challenges including latency, privacy and security, remote synchronization, sparse sampling, and shotgun genome sequencing.

PhD students

 

Orhan Ocal

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 Yin

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.

 

Avishek Ghosh

Avishek is interested in optimization and learning theory. He obtained his M.E. from Indian Institute of Science, Bangalore, and B.E. from Jadavpur University, Kolkata.

 

Vipul Gupta

Vipul is interested in distributed optimization and information theory. He received his B.Tech-M.Tech from Indian Institute of Technology Kanpur.

 

Jichan Chung

Jichan is interested in machine learning and distributed systems. He obtained his B.S. from Korea Advanced Institute of Science and Technology in 2017.

Post-docs

 

Swanand Kadhe

Swanand is interested designing scalable architectures for distributed systems, focusing on blockchains, and developing efficient algorithms for distributed machine learning. He obtained his PhD from Texas A&M University, advised by Alex Sprintson. His PhD research was in the area of coding theory, focusing on the aspects of security and availability in large-scale distributed storage systems and private information retrieval.

 

Amirali Aghazadeh

Amirali is interested in machine learning from designing to analyzing algorithms using tools in signal processing, large-scale optimization, and information theory. He uses his algorithms to solve real-world problems in science and biology. Amirali got his PhD from Rice university with Richard Baraniuk.

 

Yaoqing Yang

Yaoqing Yang is interested in machine learning, distributed computing, and coding theory. He obtained his PhD from Carnegie Mellon University, advised by Pulkit Grover and Soummya Kar.

Current Collaborators

David Tse

Martin Wainwright

Frank Ong

Sreeram Kannan

Soheil Mohajer

Undergrads

Steven Cao

Justin Hong

Dominic Carrano

Former students and post-docs

Nihar B Shah, CMU

Rashmi K V, CMU

Kangwook Lee, UW-Madison

Giulia Fanti, CMU

Xiao Simon LI, Cubist Systematic Strategies

Reinhard Heckel, Rice University

Ramtin Pedarsani, UCSB

Dimitris Papailiopoulos, UW-Madison

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