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Bio
Matthew Ziegler (Member, IEEE) received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, USA, in 2004.
He is currently a Principal Research Staff Member at the IBM T. J. Watson Research Center, Yorktown Heights, NY, USA. His research has recently focused on artificial intelligence (AI) accelerator design, machine learning for CAD, and VLSI design productivity.
Dr. Ziegler is a member of the IBM Academy of Technology. He was a recipient of the 2018 Mehboob Khan Award from the Semiconductor Research Corporation. 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 has served on various conference committees, including the General Chair for International Symposium on Low Power Electronics and Design (ISLPED) 2019 and the Program Chair for the 2018–2021 IEEE IBM AI Compute Symposia.
Research Interests
Papers共 81 篇Author StatisticsCo-AuthorSimilar Experts
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Monodeep Kar,Joel Silberman,Swagath Venkataramani,Viji Srinivasan,Bruce M. Fleischer, Joshua Rubin, JohnDavid Lancaster,Sae Kyu Lee,Matthew Cohen,Matthew M. Ziegler,Nianzheng Cao, Sandra Woodward,
IEEE CIRCUITS AND SYSTEMS MAGAZINEno. 2 (2023): 55-58
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IEEE Circuits and Systems Magazineno. 2 (2023): 55-58
River Publishers eBooks (2022)
Machine Learning Applications in Electronic Design Automationpp.339-376, (2022)
Rajiv Joshi,Arvind Kumar,Matt Ziegler,Mukesh Khare, John Bosma, Xin Zhang,Krishnan Kailas,Kaoutar El Maghraoui, Jin-Ping Han,Anna Topol, John Rozen
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Author Statistics
#Papers: 77
#Citation: 2276
H-Index: 24
G-Index: 47
Sociability: 6
Diversity: 1
Activity: 1
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