overview

Dr. Nounou's research interests are in the area of process systems engineering with a particular emphasis on process modeling, estimation, fault detection, and control. The algorithms and tools developed in Dr. Nounou's research are utilized in many applications to improve the operation of various chemical, environmental, biological, and electrical systems.

education and training
selected publications
Academic Articles135
  • Basha, N., Kravaris, C., Nounou, H., & Nounou, M. (2023). Bayesian-optimized Gaussian process-based fault classification in industrial processes. Computers & Chemical Engineering. 170, 108126-108126.
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  • Dhibi, K., Mansouri, M., Trabelsi, M., Abodayeh, K., Bouzrara, K., Nounou, H., & Nounou, M. (2023). Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems. IEEE Access. 11, 15763-15771.
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  • Elrefaei, N., Basha, N., Nounou, M., Nounou, H., Ashok, A., & Al-Rawashdeh, M. (2022). Quantified Database for Methane Dehydroaromatization Reaction. CHEMCATCHEM. 14(21),
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  • Mansouri, M., Dhibi, K., Nounou, H., & Nounou, M. (2022). An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization. Sustainability. 14(18), 11195-11195.
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  • Sheriff, M. Z., Karim, M. N., Kravaris, C., Nounou, H. N., & Nounou, M. N. (2022). An operating economics-driven perspective on monitoring and maintenance in multiple operating regimes: Application to monitor fouling in heat exchangers. Chemical Engineering Research and Design. 184, 233-245.
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Chapters16
  • Fezai, R., Mansouri, M., Nounou, H., Nounou, M., & Messaoud, H. (2021). Fault Diagnosis for Nonlinear Biological Processes Based on Machine Learning Models. Advanced Systems for Biomedical Applications. 77-91. Springer Nature.
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  • Ziyan Sheriff, M., Basha, N., Nazmul Karim, M., Nounou, H., & Nounou, M. (2020). Fault Detection of Single and Interval Valued Data Using Statistical Process Monitoring Techniques. Fault Detection, Diagnosis and Prognosis. IntechOpen.
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  • Mansouri, M., Harkat, M., Nounou, H. N., & Nounou, M. N. (2020). Chapter 1 Introduction. Data-Driven and Model-Based Methods for Fault Detection and Diagnosis. 1-10. Elsevier.
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  • Mansouri, M., Harkat, M., Nounou, H. N., & Nounou, M. N. (2020). Chapter 2 PCA and PLS-based generalized likelihood ratio for fault detection. Data-Driven and Model-Based Methods for Fault Detection and Diagnosis. 11-48. Elsevier.
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  • Mansouri, M., Harkat, M., Nounou, H. N., & Nounou, M. N. (2020). Chapter 3 Kernel PCA- and Kernel PLS-based generalized likelihood ratio tests for fault detection. Data-Driven and Model-Based Methods for Fault Detection and Diagnosis. 49-77. Elsevier.
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Conference Papers120
  • Hichri, A., Hajji, M., Mansouri, M., Bouzrara, K., Nounou, H., & Nounou, M. (2022). Deep Learning based Fault Diagnosis in a Grid-Connected Photovoltaic Systems. 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD), 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD). 00, 1150-1155.
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  • Attouri, K., Mansouri, M., Hajji, M., Bouzrara, K., Nounou, H., & Nounou, M. (2022). Effective Fault Diagnosis in Grid Connected Photovoltaic Systems Using Multiscale PCA based Artificial Neural Network Technique. 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT). 1, 1318-1323.
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  • Marweni, M., Fezai, R., Hajji, M., Mansouri, M., Bouzrara, K., Nounou, H., & Nounou, M. (2022). Efficient Fault Detection and Diagnosis in Photovoltaic System Using Deep Learning Technique*. 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT). 1, 1336-1341.
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  • Dhibi, K., Mansouri, M., Bouzrara, K., Nounou, H., & Nounou, M. (2022). Enhanced Recurrent Neural Network for Fault Diagnosis of Uncertain Wind Energy Conversion Systems*. 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT). 1, 1330-1335.
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  • Hichri, A., Mansouri, M., Hajji, M., Bouzrara, K., Nounou, H., & Nounou, M. (2022). Fault Classification using Deep Learning in a Grid-Connected Photovoltaic Systems*. 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT). 1, 1312-1317.
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Repository Documents / Preprints1
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chaired theses and dissertations
Email
mohamed.nounou@tamu.edu
First Name
Mohamed
Last Name
Nounou
mailing address
Texas A&M University; Qatar Campus; 4251 TAMUQ
College Station, TX 77843-4251
USA