Contact
Email: viveck@psu.edu
Room: 230, Electrical Engineering West,
Pennsylvania State University,
University Park, PA 16802
Brief Bio: I am an Associate Professor in the Department of Electrical Engineering at Pennsylvania State University. I received my Ph.D from the University of California, Irvine in 2011. Between 2011 and 2014, I was a postdoctoral researcher, jointly with the Electrical and Computer Engineering department at Boston University, and the Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT). I received the 2009 IEEE Information Theory Society Best Paper Award, the 2014 IEEE International Symposium on Network Computing and Applications (NCA) Best Paper Award, an NSF Career Award in 2016, was a finalist for the Bell Labs Prize in 2016, and a 2019 Google Faculty Award. I am currently an Associate Editor for IEEE Transactions on Communications.
In my research group, we study theoretical and mathematical foundations of several applications, most commonly using tools from information theory. We currently explore applications to secure and scalable machine learning, data privacy, and algorithms for geographically distributed key-value stores. In the past, we have studied wireless networks and fault-tolerant distributed data storage. In addition to theoretical explorations, we also explore engineering implementations for several research projects.
Our lab has open positions Fall 2023. Students with strong analytical skills are welcome to apply to Penn State EE department.
Recent Papers and news
- Paper titled Brief Announcement: CausalEC: A Causally Consistent Data Storage Algorithm based on Cross-Object Erasure Coding accepted to ACM PODC 2023. Extended version available at arxiv:2102.13310Paper titled "Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise" accepted to ISIT 2023, also presented ITA in Feb 2023Paper titled LEGOStore: A Linearizable Geo-Distributed Store Combining Replication and Erasure Coding with authors Hamidreza Zare, Viveck R. Cadambe, Bhuvan Urgaonkar, Chetan Sharma, Praneet Soni, Nader Alfares, Arif Merchant, Proceedings of VLDB 2022, extended version herePaper titled Distributed Differentially private fundamental information-theoretic limits with authors Ateet Devulapalli, Haewon Jeong, Viveck R. Cadambe and Flavio Calmon, IEEE ISIT 2022Paper titled epsilon-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication with authors Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe and Flavio Calmon, IEEE ISIT 2021, extended version appears in 2021 Journal of Special Topics in Information Theory (JSAIT), 2021, preprint on arxiv:2105.01973
Paper titled Extreme Point Approach to Subset Selection with authors Srikanth Banagere, Viveck R. Cadambe and Bill Kay, a spotlight presentation at SubSetML: Subset Selection in Machine Learning: From Theory to Practice Workshop at 2021 ICML Conference