Dissertation: Efficient and Secure Equality-based Two-party Computation
Former Graduate Teaching Assistant at Department of Computer Science, Purdue University
Former Graduate Teaching Fellow at Department of Computer Science, Purdue University (2018 - 2019)
Former Ross Fellow at Purdue University (2014 - 2018)
Ph.D. Advisor: Mikhail J. Atallah, Dinstinguished Professor of Computer Science, Purdue University
Erdos number: 3 (Click here for details)
I am interested in Design and Analysis of Algorithms and Protocols with emphasis on Privacy-preserving Computations. My research concentrates on privacy-preserving multiparty computation and outsourcing schemes using lightweight computational and cryptographic primitives to achieve two ultimate goals: Practically Applicable solutions with Provable Theoretical Assurance.
Following my interest in design and analysis of algorithms, I am also working on new approaches toward more efficient "General Pattern Matching" problem.