Andrew B. Kahng

Andrew B. Kahng is a Distinguished Professor of Computer Science & Engineering and Electrical and Computer Engineering at the University of California San Diego. He leads research in VLSI physical design, AI-driven chip design, and semiconductor roadmapping. His work focuses on advancing EDA tools, such as the OpenROAD Project and TILOS AI Institute, to address challenges in chip design automation. He has authored over 500 publications, holds 35 patents, and is a Fellow of both ACM and IEEE. His accolades include the 2019 Ho-Am Prize in Engineering.

Key affiliations include the VLSI CAD Laboratory and leadership roles in international conferences like DAC and ISPD. Kahng has mentored numerous students, contributing to their academic and professional success. His research spans from foundational algorithms (e.g., placement and routing) to industry collaboration through initiatives like the OpenROAD Project, which provides open-source tools for chip design.

Recent advancements include ML integration in EDA, pathfinding frameworks (PROBE3.0), and contributions to the semiconductor technology roadmap. His work emphasizes open-source ecosystems and interdisciplinary collaboration to drive innovation in microelectronics.