Personal profile
Biography
Mohamed Nounou received the B.S. degree (Magna Cum Laude) from Texas A&M
University, College Station, TX in 1995 and the M.S. and Ph.D. degrees from the Ohio State University, Columbus, OH, in 1997 and 2000, respectively, all in Chemical Engineering. Currently, he is a professor of Chemical Engineering at the College of Science and Engineering at Hamad Bin Khalifa University (HBKU). Before joining HBKU, he was a professor at Texas A&M University at Qatar for eighteen years. He also worked for industry at PDF Solutions, a consulting company in San Jose, California.
His research interests are in the area of process systems engineering with a particular emphasis on data-driven techniques for improved process operations. He is the author of a book and numerous book chapters and papers in prestigious journals and conferences. He also served on the editorial boards of several journals and on the organizing committees for various conferences. He is currently an associate editor for the “Network Modeling Analysis in Health Informatics and Bioinformatics” journal.
Dr. Nounou is also a dedicated teacher. He received both the College-Level and University-Level Distinguished Achievement Awards in Teaching at Texas A&M University in 2011 and 2012, respectively, and the Faculty Excellence Award in 2013.
He is a senior member of the American Institute of Chemical Engineers (AIChE) and a senior member of the Institute of Electrical and Electronics Engineers (IEEE).
Education/Academic qualification
Chemical Engineering, PhD, The Ohio State University
Award Date: 15 Dec 2000
Chemical Engineering, Master, The Ohio State University
Award Date: 15 Aug 1997
Chemical Engineering, Bachelor, Texas A&M University
Award Date: 15 Dec 1995
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Collaborations and top research areas from the last five years
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Physics-Informed Deep Learning for Bearing Remaining Useful Life: Adaptive Paris-Law Regularization with Gaussian Processes
Dhibi, K., Nounou, H., El-Mellouhi, F. & Nounou, M., 20 Feb 2026, In: Integrating Materials and Manufacturing Innovation. 21 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Advanced data-driven fault detection in gas-to-liquid plants
Basha, N., Fezai, R., Malluhi, B., Dhibi, K., Ibrahim, G., Choudhury, H. A., Challiwala, M. S., Nounou, H., Elbashir, N. & Nounou, M., Jul 2025, In: Computers and Chemical Engineering. 198, 109098.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Citations (Scopus) -
Advances in Data-Driven Modeling, Fault Detection, and Fault Identification
Nounou, M. N., Nounou, H. N., Basha, N. & Malluhi, B., 1 Jan 2025, Advances in Data-Driven Modeling, Fault Detection, and Fault Identification: Applications to Chemical Processes. Elsevier, p. 1-145 145 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Curriculum-Enhanced Adaptive Sampling for Physics-Informed Neural Networks: A Robust Framework for Stiff PDEs
Cetinkaya, H., Ay, F., Tunçel, M., Nounou, H., Nounou, M. N., Kurban, H. & Serpedin, E., Dec 2025, In: Mathematics. 13, 24, 3996.Research output: Contribution to journal › Article › peer-review
Open Access -
Enhanced Hyperparameter Estimation for Gaussian Process Models in Experimental Design Applications
Malluhi, B., Nounou, H. & Nounou, M., 12 Nov 2025, In: Industrial and Engineering Chemistry Research. 64, 45, p. 21629-21640 12 p.Research output: Contribution to journal › Article › peer-review