The EPIC Lab conducts cutting-edge research in Electronic Design Automation (EDA) and computer architecture, with a focus on advancing next-generation semiconductor chip design through innovative design automation methodologies and hardware architectures. The lab develops scalable design tools and architectural frameworks that enable high-performance, energy-efficient computing platforms, with particular emphasis on in-memory computing and silicon photonics to realize AI and domain-specific accelerators, . By creating novel algorithms, design flows, architectures, and hardware-software co-optimization techniques, EPIC Lab researchers aim to transcend the limitations of conventional CMOS systems and unlock faster, more intelligent, and more sustainable computing. This work bridges fundamental device- and circuit-level innovations with system-level performance demands, driving breakthroughs across machine learning, data-centric computing, and emerging heterogeneous architectures.

Ongoing EDA, Chip Design, and Computer Architecture Projects:

• AI/ML Hardware Accelerator Design with Silicon Photonics and In-Memory Computing
• Cross-Layer Design of Interconnection Networks-on-Chip (NoCs)
• Silicon Photonics Chip-Scale Networks for Manycore Computing 
• Hardware Security for Emerging Chip Architectures
• Memory Optimizations for Manycore Computing
• Flash/SSD Storage Memory Management
• Fault-Tolerant and Energy-Efficient HW/SW Codesign in Manycore Processors