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John Antonio

John Antonio

Associate Dean for Academic Affairs, Howard & Suzanne Kauffmann Chair in Engineering
LinkCurriculum Vitae (PDF)
Phone:  (405) 325-4397 | Office:  CEC 107, DEH 232


PhD, Texas A&M University
MS, Texas A&M University
BS, Texas A&M University

Associate Dean for Academic Affairs, Howard & Suzanne Kauffmann Chair in Engineering, University of Oklahoma
Director and David W. Franke Professor, University of Oklahoma
Associate Professor, Texas Tech University
Assistant Professor, Purdue University

Distributed, high-performance, and cloud computing; optimal scheduling and control of large-scale production computing data centers; low-power embedded processing; reconfigurable computing.

Dr. John Antonio is Associate Dean for Academic Affairs and holds the Howard & Suzanne Kauffmann Chair in the College of Engineering at the University of Oklahoma.  Dr. Antonio received his PhD in electrical engineering from Texas A&M University in 1989. He was a faculty member at Purdue University and Texas Tech before joining OU as professor and director of computer science in 1999.  During seven years of service as CS director, John oversaw a 50% growth in the number computer science faculty members and a tripling of the school’s research expenditures.  John has been an investigator for a number of funded research projects.  Defense agencies supporting this work include Rome Laboratory (Air Force Research Laboratory), NRaD (Navy Research and Development), DoD/STTR, and DARPA.  This body of work included a major project funded by DARPA for the design and development of an ultra-low power parallel computing platform, housed on a small unmanned aerial vehicle, for real-time synthetic aperture radar processing.  During the period 2008 to 2011, John received grants from RiskMetrics Group, Inc. This work included research and development of scheduling and control mechanisms for a massively distributed computing platform.  From 2011 to 2013, John worked for MSCI, Inc. where he led a global team chartered with optimizing the performance and stability of the company’s massively parallel production computing platform.

As the Associate Dean for Academic Affairs, Dr. Antonio represents the Dean’s office on matters related to academic programs and services, including outreach, recruiting, scholarships, advising, diversity and inclusion programs, and accreditation. He also provides leadership in identifying and developing opportunities for students to grow through experiential learning, professional development, and leadership training; with the ultimate goal being to equip students with competitive advantages in pursuing future careers.

Senior Member of IEEE; Member of ACM; Member of European Academy of Sciences.
Dedicated Service Awards from Texas Tech University and the University of Oklahoma;
Lockheed Martin Award for Excellence in Engineering Teaching, Halliburton Award for Excellence, Texas Tech University; Ruth and Joel Spira Outstanding Teacher Award, Purdue University

State of Oklahoma, Department of Education; “Central Oklahoma Rural Partnership for Science (CORPS),” Feb. 23, 2016 to Feb 23, 2017, $550,000.

U. S. Department of Defense; Defense Intelligence Agency, Subaward through OU Health Sciences Center; “Center for Intelligence and National Security,” Sep. 15, 2014 to Sep. 14, 2019, $330,509. 

RiskMetrics Group; “Performance Analysis of Distributed Service-Oriented Architectures, Phase 3," Jan 2010-Dec 2010.

Khondker S. Hasan, Amlan Chatterjee, Sridhar Radhakrishnan, and John K. Antonio, “Performance Prediction Model and Analysis for Compute-intensive Tasks on GPUs,” The 11th IFIP International Conference on Network and Parallel Computing (NPC 2014), Published by: Lecture Notes Computer Science (LNCS), Springer, Vol. 8707, Ilan, Taiwan, pp. 612-617, Sep. 2014.

Khondker S. Hasan, John K. Antonio, and Sridhar Radhakrishnan, “A New Composite CPU/Memory Model for Predicting Efficiency of Multi-core Processing,” The 20th IEEE International Symposium on High Performance Computer Architecture (HPCA-2014) Workshop, Sponsored by: IEEE Computer Society, Orlando, FL, Feb. 2014.

Khondker S. Hasan, Sridhar Radhakrishnan, and John K. Antonio, “Composite Prediction Model and Task Distribution on a Cloud of Multi-core Processors,” The 20th IEEE International Conference on High Performance Computing (HiPC-2013) Workshop, Sponsored by: IEEE Computer Society, Bengaluru, India, Dec. 2013.

Amlan Chatterjee, Sridhar Radhakrishnan, and John K. Antonio, “On Analyzing Large Graphs using GPUs,” 15th Workshop on Advances in Parallel and Distributed Computational Models (APDCM 2013) in Proceedings of the 27th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2013), sponsor: IEEE Computer Society, Boston, MA, May 2013.

Amlan Chatterjee, Sridhar Radhakrishnan, and John K. Antonio, “Counting Problems on Graphs: GPU Storage and Parallel Computing Techniques,” Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2012), sponsor: IEEE Computer Society, Shanghai, China, May 2012, pp. 804-812.

John K. Antonio, Mark B. Yeary, and Thomas D. Hosman, “Ultrasonic Communication System for Communication through RF-Impervious Enclosures and Abutted Structures,” Patent No. US 9,361,877; Date of Patent: June 7, 2016.

Brian F. Veale, John K. Antonio, and Monte P. Tull, “Configuration Steering for a Reconfigurable Superscalar Processor,” Patent No.US 7,757,069; Date of Patent: July 13, 2010.