Research Areas:

• Efficient AI/ML Algorithms
• Machine Learning Systems
• Emerging Computing Architecture and Chip
• etc.

Topics and Projects:

1. Machine Learning Systems:

• TinyML Models and Systems
• Hardware-aware Neural Architecture Design
• Large Scale Training Systems
• Systems for LLM Inference

2. Computation-in-Memory

• Computation-in-Memory Architecture
• Toolchains for Computation-in-Memory
• Architecture Design for Sparse Neural Networks

3. Privacy Computing Systems

• Hardware and Chip Design for Cryptographic
• Hardware-software Co-design for Homomorphic Encryption