Colloquiam: All members

Mohamed Guenfoud

Sun, 16 Aug 2020 22:22:19 +0200

Received his PhD degree from the National Institute of Applied Sciences Lyon, France in 1990. Currently, he is a Professor at the Civil and Hydraulics Department, Faculty of Sciences and Technology. He is the dean of Sciences and Technology Faculty. His main research interest’s focuses on finite element modelling, mechanical behavior of materials, and composite structures design (functionally graded materials). He had 18 PhD and 28 MSc completions, currently supervising more than ten PhD students do. He has published more than 90 papers and 200 communications. He has an indice h9 and more than 300 citations.

http://staff.univ-guelma.dz/en/guenfoud-mohamed

Scopus ID Author:25627846400

WOS ResearcherID : N-3943-2016

https://orcid.org/0000-0002-7084-209X

https://publons.com/researcher/2921460/mohamed-guenfoud/

https://www.researchgate.net/profile/Mohamed_Guenfoud2

https://scholar.google.com/citations?user=zynCHdsAAAAJ&hl=fr

https://www.mendeley.com/newsfeed

https://univ-guelma.academia.edu/MohamedGuenfoud

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https://www.linkedin.com/in/guenfoud-mohamed-b2a29533/

Mohammad Al-Azawi

Sun, 05 Apr 2020 20:28:34 +0200

Dr Mohammad Al-Azawi is an Associate Professor in Artificial Intelligence with a distinguished

academic career spanning over 24 years. He holds a PhD in Artificial Intelligence from De Montfort

University, UK, and both a Master’s and a Bachelor's degree in Computer Engineering from Baghdad

University and Al Mustansiriyah University, respectively.

Dr Al-Azawi has extensive teaching experience, having served at several esteemed higher education

institutions in Oman, Jordan, and Iraq. He has been instrumental in developing and teaching a wide

range of courses, His pedagogical expertise is complemented by his role as a PhD thesis supervisor

and external examiner, reflecting his deep commitment to advancing research and education in his

field.

His research interests lie in the application of human intelligence to machine vision and recognition,

computational intelligence, machine learning, and data science. Dr Al-Azawi has published

numerous research papers in leading international journals, many of which are indexed in Scopus,

including Q1 journals. He has also presented his work at various international conferences, where

he has often been invited as a keynote speaker.

In addition to his research and teaching responsibilities, Dr Al-Azawi is actively involved in academic

and professional communities. He serves as an editor and reviewer for several high-impact journals

and conferences, such as IEEE Transactions on Cybernetics, Data in Brief, and SAGE Open. He is

a member of various professional associations, including IEEE and the Oman Association for Quality

in Higher Education (OAQHE), where he contributes to advancing quality standards in higher

education.

Dr Al-Azawi's academic contributions have been recognised with several awards, including the Best

Paper Award from IEEE and the Outstanding Performance Award from Oman College of

Management and Technology. His dedication to academic excellence and innovation continues to

inspire his students and colleagues alike.

Mohammad Izadi

Thu, 08 Jan 2026 15:13:46 +0100

Mohammad Nazri

Thu, 17 Jul 2025 04:36:31 +0200

Mohammad Noori

Sat, 24 May 2025 07:14:55 +0200

Dr. Mohammad Noori is a professor of Mechanical Engineering at Cal Poly, San Luis Obispo, an Adjunct Professor at the University of Leeds, UK, a Fellow of the American Society of Mechanical Engineering and a recipient of the Japan Society for Promotion of Science Fellowship. Noori’s work in nonlinear random vibrations, seismic isolation and application of artificial intelligence methods for structural health monitoring is widely cited. He has authored over 300 refereed papers, including over 200 journal articles, 10 scientific books, and has edited 25 technical, and special journals, volumes. Noori has supervised over 100 graduate students and post-doc scholars, and has presented over 100 keynotes, plenary, and invited talks.　 He is the founding executive editor of an international journal, a founding editor of a scientific collection for CRC/Taylor & Francis and has served on the editorial boards of over 10 other journals and as a member of numerous scientific and advisory boards. He has　been a Distinguished Visiting Professor at several highly ranked global universities, and directed the Sensors Program at the National Science Foundation in 2014. He has been a founding director or co-founder of three industry-university research centers and held Chair professorships at two major universities. He served as the dean of engineering at Cal Poly for five years, has also served as the Chair of the national committee of mechanical engineering department heads, and was one of 7 co-founders of the National Institute of Aerospace, in partnership with NASA Langley Research Center. Noori also serves as the Chief Technical Advisor for several scientific organizations and industries.

Mohammad Sadegh Eshaghi Khanghah

Mon, 20 Jun 2022 11:53:28 +0200

Mohammed Al Awadh

Wed, 12 Nov 2025 11:09:32 +0100

r. Mohammed Al Awadh is an Associate Professor of Industrial Engineering at King Khalid University with extensive experience in applied research, academic supervision, and consulting across the domains of quality engineering, safety management, reliability analysis, and AI-driven industrial systems. His research focuses on developing data-driven decision-support models to improve performance, safety, and sustainability in engineering and service sectors.

He has led and co-authored numerous studies integrating statistical modeling, machine learning, and multi-criteria decision-making (MCDM) techniques for industrial optimization and educational performance analysis. His recent work includes the AI-Driven Model for Optimizing Airport Queuing Systems, presented at the 15th IEOM International Conference (Singapore, 2025), and the application of Principal Component Analysis (PCA) and Cluster Analysis to evaluate national student performance data.

Dr. Al Awadh’s research extends to predictive maintenance, TQM and EFQM excellence models, occupational safety and fire prevention systems, and digital transformation frameworks. He frequently collaborates with industry and government entities to translate research into practical solutions aligned with Saudi Vision 2030.

He employs advanced tools such as SPSS, R, Python, and Minitab to conduct reliability analysis (Weibull), ANOVA, DOE, SEM, and PCA, and actively mentors graduate and undergraduate students in applied research and innovation projects.

Mohammed Shqair

Thu, 10 Oct 2024 09:18:30 +0200

Mohsen Ostad shabani

Thu, 12 Aug 2021 10:43:22 +0200

Moira MIranda

Sat, 22 Jan 2022 21:00:51 +0100