professor
ELECTRICAL AND COMPUTER ENGINEERING
Texas A and M University
Qatar
Education Doctor of Philosophy, Ohio State University, 2000 Master of Science, Ohio State University, 1997 Bachelor of Science, Magna Cum Laude, Texas A&M University, 1995 Experience Itochu Professor, Texas A&M University at Qatar, 2015-present Professor, Texas A&M University at Qatar, 2014-present Associate Professor, Texas A&M University at Qatar, 2009-2014 Assistant Professor, Texas A&M University at Qatar, 2007-2009 Assistant Professor, United Arab Emirates University, 2002-2007 Assistant Professor, King Fahd University of Petroleum and Minerals, 2001-2002 Development Engineer, PDF Solutions, Inc., 2000-2001 Graduate Research Associate, Ohio State University, 1996-2000 Awards Holder of Itochu Professorship, 2015-present. TAMUQ Faculty Excellence Award, 2015. TAMUQ Electrical and Computer Engineering Program Service Award, 2015 and 2016. The IEEE-Eta Kappa Nu (HKN) Outstanding Chapter Award, where Dr. Nounou serves as the faculty advisor of its Lambda Mu Chapter at TAMUQ, 2015. TAMU Association of Former Students (AFS) College-level Distinguished Achievement Teaching Award, 2014. Recipient of third best paper award at the IEEE International Workshop on Genomic Signal Processing, 2013. TAMUQ Recognition Award for contribution during the ABET accreditation process, 2009. IEEE Senior Member, 2008. Magna Cum Laude Honor graduate, B.S., Texas A&M University, 1995. Member in honor societies: Golden Key National Honor Society, Tau Beta Pi Engineering Honor Society, and Eta Kappa Nu Electrical Engineering Honor Society, 1994-1995. Undergraduate Scholarships: Advanced Micro Devices (AMD) Company scholarship and Electrical Engineering Department Scholarship, Texas A&M University, 1994-5.
Measurement-based control. System identification and estimation. Monitoring and fault detection. Genomics and bio-systems. Control of time-delay systems. Multi-scale techniques for modeling and control. Adaptive and intelligent control. Fuzzy systems for modeling and control. Model-based predictive control.