Rashmi Agrawal
Scholar

Rashmi Agrawal

Google Scholar ID: rYt3uHUAAAAJ
Boston University
Computer ArchitectureCryptographyHardware SecurityPrivacy-preserving Computing
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
567
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
0
 
Contact
Emailrashmi23@bu.edu
Resume
Academic Achievements
  • FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption, HPCA-29 2023
  • Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs, SEED 2022
  • RACE: RISC-V SoC for En/decryption ACceleration on the Edge for Homomorphic Computation, ISLPED 2022
  • Efficient FPGA-based ECDSA Verification Engine for Permissioned Blockchains, ASAP 2022
  • Does Fully Homomorphic Encryption Need Compute Acceleration?, Preprint version 2021
  • Quantum-Proof Lightweight McEliece Cryptosystem Co-Processor Design, ICCD 2020 (Best paper in-track award)
  • Homomorphic Encryption Based Secure Sensor Data Processing, HPEC 2020
  • Towards Programmable All-Digital True Random Number Generators, GLSVLSI 2020 (Best paper award)
  • A Post-quantum Secure Discrete Gaussian noise Sampler, HOST 2020
  • Design Flow Methodology for Secure Group Anonymous Authentication, DATE 2020
  • Open-Source FPGA Implementation of Post-Quantum Cryptographic Hardware Primitives, FPL 2019
  • The BRISC-V Platform: A Practical Teaching Tool for Computer Architecture, WCAE 2019
  • A Lightweight McEliece Cryptosystem Co-Processor Design, BARC 2019
  • Post-Quantum Cryptographic Hardware Primitives, BARC 2019
Research Experience
  • Serves as a Research Scholar at ICSG, Boston University, leading research on designing efficient architectures and co-processors, focusing on post-quantum cryptography. Currently working on designing an efficient hardware accelerator for Privacy-preserving computing using Fully Homomorphic Encryption (FHE).
Education
  • Currently a fourth-year Ph.D. student at ICSG, Boston University, under the supervision of Prof. Ajay Joshi. Holds a Master's degree and a Bachelor's degree in Computer Engineering.
Background
  • Research Interests: designing efficient architectures and co-processors for post-quantum cryptography; interested in homomorphic computing on encrypted data, particularly its hardware acceleration for privacy-preserving computing. Specializes in hardware security and computer architecture.