Scholar
Rashmi Agrawal
Google Scholar ID: rYt3uHUAAAAJ
Boston University
Citations & Impact
Citations
567
H-index
14
i10-index
16
Publications
20
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
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.
Co-authors