Email: zhan3554 [at] purdue.edu
Hi! I am a first year CS PhD student at Purdue University advised by Jeremiah Blocki. I am thankful to be supported in part by the Presidential Doctoral Excellence Award and the Herbold Fellowship.
I am interested in several problems within the intersection of coding theory and cryptography. My broad objective is to understand what the fundamental trade-offs between statistical/computational security and fault tolerance are. I am currently investigating how we can use cryptography to construct codes with improved rate, distance, and other relevant parameters beyond those known for worst-case assumptions.
Previously, I completed my computer science BS and MS at Carnegie Mellon University (2019-2024), where I was advised by Rashmi Vinayak.
- Amortized Locally Decodable Codes for Insertions and Deletions Jeremiah Blocki and Justin Zhang ITC 2025.
- Amortized Locally Decodable Codes Jeremiah Blocki and Justin Zhang ISIT 2025. arXiv
- Secure Convertible Codes Justin Zhang and K.V. Rashmi ISIT 2025. Preprint Master's Thesis
CS251 - Data Structures and Algorithms
Spring 2025