Our Instructor
Dr. Utsav Banerjee
Dr. Utsav Banerjee
- Responsibility: Assistant Professor
- Email: utsav@iisc.ac.in
- Years in IISc:
- Total PhDs Graduated:
- Total Journal Papers:
- Total Conference Papers:
- Total Patents:
Important Links:
Research breakthroughs (≤3 years)
- Unified hardware accelerator for FFT and NTT for efficient quantum-safe lattice-based cryptography in secure digital signal processing applications
- Low-power hardware accelerator for SQIsign isogeny-based post-quantum digital signature verification for resource-constrained IoT applications
- Efficient RISC-V-based hardware-software co-design of FALCON and HAWK lattice-based post-quantum digital signature schemes for embedded systems
- High-performance configurable hardware acceleration of quantum-inspired probabilistic computing for solving large-scale combinatorial optimization problems
- Efficient algorithm for plaintext-ciphertext matrix multiplication with additively homomorphic encryption and its system-level demonstration
- Low-power configurable side-channel-resilient hardware accelerators for elliptic curve cryptography with safe Montgomery curves
- High-throughput hardware acceleration of wide-block tweakable block ciphers for memory encryption in data-intensive applications
Latest News + Announcements
- Research News
- Research on efficient hardware acceleration of quantum-safe isogeny-based digital signature verification and its ASIC demonstration showcased at the 2026 IEEE International Solid-State Circuits Conference (ISSCC), the most premier global forum for presenting advancements in solid-state circuits and system-on-chip designs.
- Research on RISC-V-based hardware-software co-design of FALCON and HAWK lattice-based post-quantum digital signature schemes presented at the 2025 IEEE International Conference on High Performance Computing, Data and Analytics (HiPC) Workshop and the 2026 International Conference on VLSI Design (VLSID).
- Research on high-performance configurable hardware acceleration of quantum-inspired probabilistic computing presented at the 2025 IEEE International Conference on High Performance Computing, Data and Analytics (HiPC) Workshop and the 2026 International Conference on VLSI Design (VLSID).
- Research on low-power configurable side-channel-resilient hardware accelerators for elliptic curve cryptography presented at the 2025 IEEE International Conference on Intelligent Computing and Systems at the Edge (ICEdge).
- Research on high-throughput hardware acceleration of wide-block tweakable block ciphers for memory encryption presented at the 2025 IEEE International Conference on Intelligent Computing and Systems at the Edge (ICEdge).
- Research on the design and implementation of unified hardware accelerator for FFT and NTT for efficient quantum-safe lattice-based cryptography in secure digital signal processing applications presented at the 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
- Research on the construction of fast plaintext-ciphertext matrix multiplication from additively homomorphic encryption and its embedded software implementation published in the IACR Communications in Cryptology.
- Collaborations
- Academia: MIT, Boston University, UT Dallas
- Industry: ABB, Texas Instruments, Intel
Achievements
- Faculty awards:
- Prof. Utsav awarded the 2023 Intel Rising Star Faculty Award
- Prof. Utsav awarded the 2022 ABB Research Award in Honor of Hubertus von Grünberg
- Prof. Utsav received the Pratiksha Trust Young Investigator Award
- Student awards:
- Kiran received the best poster award in the Student Research Symposium at the 2025 IEEE International Conference on High Performance Computing, Data and Analytics (HiPC).
- Nigil received the best paper award at the 2025 IEEE International Conference on Intelligent Computing and Systems at the Edge (ICEdge).
- Elizabeth awarded the ESE Design Medal.
- Tarun awarded the Prime Minister’s Research Fellowship (PMRF).
Research Labs
Research Highlights
- Computation on Encrypted Data
- Quantum-Safe Cryptography
- Efficient Encryption and Authentication
- Secure Machine Learning
- Emerging Compute Paradigms
