Carnegie Mellon University

Shawn Blanton

Shawn Blanton

Associate Department Head for Research, Electrical and Computer Engineering
Trustee Professor, Electrical and Computer Engineering

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Address 5000 Forbes Avenue
Pittsburgh, PA 15213

Bio

Shawn Blanton is a Professor of Electrical and Computer Engineering at Carnegie Mellon University. In 1995 he received his Ph.D. in Electrical Engineering and Computer Science from the University of Michigan, Ann Arbor. His research interests include various aspects of integrated system test, testable design, and test methodology development. He has consulted for various companies, and is the founder of TestWorks, a Carnegie Mellon University spinout focused on information extraction from IC test data.

He received a Career Award from the National Science Foundation in 1997, and IBM Faculty Partnership Awards in 2005 and 2006. He has given over one-hundred talks at many universities and companies that include Stanford, Yale, Texas A&M, Duke, Purdue, Intel, AMD, Qualcomm, IBM, Delphi, Hewlett Packard, CISCO, Texas Instruments, Analog Devices, Freescale, Motorola and Nvidia. He has served on various technical program committees that include the IEEE/ACM Design Automation Conference, IEEE VLSI Test Symposium, IEEE/ACM International Conference on Computer-Aided Design, the International Test Conference, and an Associate Editor for the IEEE Transactions on CAD. He has published over 100 refereed conference and journal papers and has seven U.S. patents or patent applications filed. He is a fellow of the IEEE and senior member of the ACM and served as the Program Chair for the 2011 International Test Conference.

Dr. Blanton is also significantly involved in the recruitment of minority candidates for graduate school. Most of his activities center on direct recruitment at the annual convention of the National Society Black Engineers. In 2006, he spearheaded the university’s efforts (CMU@NSBE) for the 2006 NSBE convention held here in Pittsburgh. In 2006, Blanton was awarded an Emerald Award for outstanding leadership in recruiting and mentoring minorities for advanced degrees in science and technology.

Education

Ph.D., 1995 
Computer Science and Engineering 
University of Michigan, Ann Arbor

M.S., 1989 
Electrical and Computer Engineering 
University of Arizona

B.S., 1987 
Engineering 
Calvin College

Research

Keywords

  • Coding and signal processing for data storage
  • Biometrics
  • Pattern recognition
  • Computer vision
  • Data mining
  • Data storage systems
  • Machine learning

Related news

Tuesday, April 30, 2019

First round of Secure and Private IoT Initiative funded projects announced

CyLab’s Secure and Private IoT Initiative (IoT@CyLab) has broken ground as the first round of funded proposals have been announced. Twelve selected projects will be funded for one year, and results will be presented at the IoT@CyLab annual summit next year.
Wednesday, June 20, 2018

CMU and Howard offer dual engineering Ph.D. degrees

CMU Engineering and the College of Engineering and Architecture of Howard University are launching a new partnership that will include a dual-degree Ph.D. program and other initiatives.
Tuesday, July 18, 2017

ECE works with NSBE to recruit grad students in engineering

Faculty members and students from Carnegie Mellon’s College of Engineering attended the most recent convention in Kansas City to invite students to pursue a graduate degree in engineering at Carnegie Mellon.
Thursday, May 18, 2017

ECE team wins Best Paper Award at Great Lakes Symposium

ECE’s Ruizhou Ding, Zeye (Dexter) Liu, Rongye Shi, Diana Marculescu, and Shawn Blanton recently received the Best Paper Award at the 27th edition of the Association for Computing Machinery’s (ACM) Great Lakes Symposium on Very Large Scale Integration (GLSVLSI).
Monday, October 17, 2016

At the crossroads of learning and technology

Shawn Blanton teaches dozens of students each semester — this is his Clark Kent-style daytime occupation. However, when the proverbial sun goes down, he helps create cutting-edge technology that actively learns and adapts itself to the outside world.