Professor Kahng's research interests include algorithms and methodologies for the computer-aided physical design of VLSI circuits, performance analysis of circuits and interconnects, discrete algorithms, and combinatorial and large-scale heuristic optimization. Major research foci include (1) the semiconductor design-manufacturing interface, especially the cost-effective mitigation and compensation of manufacturing process variability, (2) semiconductor technology and system roadmapping, and (3) fundamental algorithms and optimizations for (module, interconnect) layout synthesis in digital and mixed-signal designs at all levels of system hierarchy. Professor Kahng's group also has interests in other applied algorithmics contexts such as networking, bioinformatics, and computational commerce. Securely funded research positions (post-doc and graduate research assistant) are available in the group. These are associated with the MARCO Gigascale Systems Research Center (system-level roadmap in the "Core Pillar"), with research in the VLSI design-manufacturing interface, and with VLSI physical design. Active funding sources include MARCO (1 project), STARC (1 project), and NSF (1 project). As a rule, all of Professor Kahng's Ph.D. students are guaranteed financial support for the duration of their Ph.D. studies, subject to continued progress in an advisor/advisee relationship. Support is generally at the maximum level permitted by the university or department (typically, 50 percent GSR during term-time and 100 percent GSR during summer or intersession).