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Prof. David Pan, Prof. Joydeep Ghosh and Students Win Best Paper at ASP-DAC 2012

Prof. David Pan, Prof. Joydeep Ghosh and graduate students Duo Ding and Bei Yu have received the 2012 ASP-DAC Best Paper Award for their paper EPIC: Efficient Prediction of IC Manufacturing Hotspots With A Unified Meta-Classification Formulation. ASP-DAC is one of the premier conferences for Electronic Design Automation.

ASP-DAC 2012 is the seventeenth annual international conference on VLSI design automation in Asia and South Pacific region, one of the most active regions of design and fabrication of silicon chips in the world. The conference aims at providing the Asian and South Pacific CAD/DA and Design community with opportunities of presenting recent advances and with forums for future directions in technologies related to Electronic Design Automation (EDA). The format of the meeting intends to cultivate and promote an instructive and productive interchange of ideas among EDA researchers/developers and system/circuit/device designers.

Dr. David Z. Pan is an Associate Professor in the Department of Electrical & Computer Engineering at The University of Texas at Austin. He received his Ph.D. degree (with honor) in Computer Science from University of California at Los Angeles (UCLA) in 2000. From 2000 to 2003, he was a Research Staff Member with the IBM T. J. Watson Research Center, Yorktown Heights, NY. He has published over 150 technical papers in refereed journals and conferences, and is the holder of 8 U.S. patents. His research is mainly focused on nanometer design for manufacturing/reliability, intersection of physical and system-level co-design, and CAD for emerging technologies.

Dr. Joydeep Ghosh is currently the Schlumberger Centennial Chair Professor of Electrical and Computer Engineering at The University of Texas at Austin.He joined the UT-Austin faculty in 1988 after being educated at IIT Kanpur, (B. Tech '83) and The University of Southern California (Ph.D’88). He is the founder-director of IDEAL (Intelligent Data Exploration and Analysis Lab) and a Fellow of the IEEE. His research interests lie primarily in intelligent data analysis, data mining and web mining, adaptive multi-learner systems, and their applications to a wide variety of complex engineering and AI problems.

Dr. Duo Ding is a former PhD student of Prof. Pan. He is currently a Senior Hardware Engineer at Oracle.

Bei Yu is a second-year PhD student supervised by Prof. Pan.