Research
Research Interests
My research spans three primary themes:
- Applied Cryptography
- Machine & Deep Learning
- Hardware Acceleration
Specific interests include, but are not limited to:
- Privacy-Preserving Technologies
- Trustworthy Machine Learning
- Parallel Processing and High-Performance Computing
- Computer Systems Performance Modeling
- Machine Learning for Cybersecurity
Grants & Awards
RIE2020 Advanced Manufacturing and Engineering (AME) Programmatic Programme
Award A19E3b0099 | S$9.9 Million | Feb 2020–Aug 2023
Served as a Co-Principal Investigator, leading efforts to optimize fully homomorphic encryption (FHE) for advanced manufacturing applications. My responsibilities for Work Package II – Strengthening HE Fundamentals included:
- Designing fast algorithms for primitive FHE computations.
- Extending the FHE arithmetic set to support more complex operations.
- Increasing the usability of FHE to simplify application development.
Current Research
DPRIVE - Data Protection in Virtual Environments (TREBUCHET Team)
DARPA-Funded | $15 Million | Apr 2021–Nov 2025
As Co-Principal Investigator and Technical Lead (since Sept 2024), I am part of a multi-year R&D effort to build a custom ASIC for homomorphic machine and deep learning applications. My primary responsibilities include:
- Developing novel cryptographic capabilities to support machine learning applications, such as logistic regression and CNN training/inference.
- Coordinating knowledge transfer between the software and hardware subgroups.
- Developing workload characterization and performance models for various hardware acceleration technologies.
- Directing software-hardware co-design, development, and optimization toward chip tape-out and full system integration.