Andrew B. Kahng

Andrew B. Kahng is Distinguished Professor of CSE and ECE at the University of California, San Diego. His research focuses on the physical design of Very Large Scale Integrated circuits (VLSI), the VLS, design-manufacturing interface, and the application of AI and machine learning to chip design. Kahng has led efforts to maintain Moore's Law by developing CAD tools for advanced technology nodes. His work addresses challenges in IC placement, routing, power delivery, and interconnect optimization. He has pioneered 'design for manufacturability' and AI-driven design tools. Kahng has also led roadmapping efforts for semiconductor research and has served as principal investigator for the DARPA-funded 'OpenROAD' project and the NSF AI Research Institute 'TILOS'.

Andrew B. Kahng is a Professor of CSE and ECE at UC San Diego, specializing in VLSI CAD algorithms, hardware and architecture, IC design for manufacturability, and IC physical design. His research focuses on improving the efficiency and accuracy of design automation tools for integrated circuits. Key areas include global routing, power and area modeling, and partitioning techniques for complex systems. Kahng's work addresses challenges in modern IC design, such as routability validation, timing closure, and interconnect optimization. His publications cover topics like spectral partitioning, NoC power modeling, and approximate arithmetic circuits, reflecting his commitment to advancing both theoretical and practical aspects of VLSI design.