WELCOME TO THE HiPerCAS TEAM!​

Our research is focused on innovation in the area of design of energy efficient, high performance, secure VLSI systems.  Special emphasis is placed on co-design across levels of VLSI design abstraction, including design methodologies,  system architectures, algorithms, circuits, and emerging devices. On-going work spans design of vertical power delivery, artificially intelligent hardware, hardware security, and shifting electronic design automation paradigms through learning.

Our work is supported by the following recent grants:

• NSF CISE, CAREER: Unified Reference-Free Early Detection of Hardware Trojans via Knowledge Graph Embeddings, 08/2023-07/2028
• DARPA/SRC JUMP 2.0 Center, CHIMES: Center for Heterogeneous Integration of Micro Electronic Systems, 01/2023-12/2027
• DARPA/SRC JUMP 2.0 Center, COGNISENSE: Center on Cognitive Multispectral Sensors, 01/2023-12/2027
• NSF ECCS, Collaborative Research: 2D Ambipolar Machine Learning & Logical Computing Systems, 07/2022-06/2025
• Google Research Scholar Award, Knowledge Graph Embedding for Early Detection of Hardware Trojans, 2022
• NSF CISE, SHF: SMALL: End-to-End Global Routing with Reinforcement Learning in VLSI Systems, 02/2022-01/2025