Matt Ziegler

Matthew Ziegler received a Ph.D. degree in Electrical Engineering from the University of Virginia, Charlottesville, in 2004. He is currently a Principal Research Staff Member at the IBM T. J. Watson Research Center, Yorktown Heights, NY. Since joining IBM Research in 2004, he received several technical accomplishment awards in the areas of processor design, design automation, and low power design. He is currently the physical design and methodology lead for IBM’s AI acceleration ASIC effort. His research has recently focused on AI accelerator design, machine learning for CAD, VLSI design productivity, and low power VLSI design.

Dr. Ziegler is a recipient of the 2018 Mehboob Khan Award from the Semiconductor Research Corporation (SRC) and has served on several SRC Technical Advisory Boards. He was elected to the IBM Academy of Technology in 2018. Dr. Ziegler has served on various conference committees, including General Chair for ISLPED 2019, Program Chair for the 2018-2022 IEEE IBM AI Compute Symposia, and Track Co-Chair for DAC 2022. He has authored over 100 peer reviewed papers and issued patents.