Hemanta K. Maji

Hemanta K. Maji is an Associate Professor in the Department of Computer Science at Purdue University, affiliated with the College of Science. He joined Purdue in 2015 as an Assistant Professor and was promoted to Associate Professor in 2023. His research focuses on cryptography, information theory, secure computation, and quantum computing, with a particular emphasis on leakage-resilient secret sharing, secure multiparty computation, and cryptographic protocol design.

Education: Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (2011), B.Tech. from IIT Kanpur (2004). Postdoctoral research included positions at UCLA’s Center for Encrypted Functionalities (2013–2015) and as a Computing Innovation Fellow (2011–2013).

Research interests span theoretical cryptography, including secure computation, information-theoretic cryptography, and algorithmic aspects of privacy-preserving techniques. He has received grants from NSF, IARPA, MITRE, and the Ross–Lynn Research Scholar Grant. His work has led to advancements in leakage-resilient schemes, non-malleable codes, and cryptographic complexity analysis.

Key contributions include leakage-resilient Shamir’s secret sharing, secure non-interactive simulation, and geometric approaches to secure two-party computation. His articles address foundational questions in cryptographic protocol design, emphasizing practical applications such as low-latency MPC and collusion-resistant secret sharing.

Awards include the 2019 Excellence in Research at Purdue Award and the 2004 Best B.Tech. Project Award from IIT Kanpur. He mentors Ph.D. and master’s students, including Mingyuan Wang, Hai H. Nguyen, and Hamidreza Amini Khorasgani. Teaching includes courses on cryptography, theoretical computer science, and mathematical toolkits for computer science.

Labs/Teams: Leads research in secure computation and cryptography, collaborating with institutions like UCLA and MITRE. Active in organizing workshops and guest lectures on cryptographic complexity and information theory.