Fadi Sibai | Network | Best Researcher Award

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Assoc. Prof. Dr. Fadi Sibai | Network | Best Researcher Award

Associate Professor at Gulf University for Science and Technology, Kuwait

Dr. Fadi Sibai is an accomplished Associate Professor at Gulf University for Science and Technology (GUST) in Kuwait, with over 35 years of experience in electrical and computer engineering, AI, cybersecurity, and academic leadership. He holds a Ph.D. in Electrical Engineering from Texas A&M University and has held senior roles in prestigious institutions like Intel, Saudi Aramco, and UAE University. Dr. Sibai’s interdisciplinary research focuses on AI, machine learning, cybersecurity, and digital design, with numerous publications, including over 78 journal articles and 10 books. He has received multiple prestigious awards, such as the IBM Faculty Award and nVIDIA Research Grant, and is recognized as a leading innovator in smart cities, healthcare, and AI ethics. His work has significantly impacted education, industry, and society, making him an ideal candidate for the Best Researcher Award.

Professional Profile
Scopus
Orcid
Google Scholar

Educational Details

Dr. Sibai earned his Ph.D. and M.S. degrees in Electrical Engineering from Texas A&M University, specializing in computer engineering with minors in computer science and communications. His doctoral research focused on AI-based coprocessor architectures. He also received his B.S. in Electrical Engineering from the University of Texas at Austin, concentrating on computer science and engineering. His academic qualifications are bolstered by certifications such as PMP, CISSP, CQRM, and advanced studies at Stanford University.

Professional Experience

Dr. Sibai’s career spans academia, industry, and research leadership. He served as Dean of Engineering at Prince Mohammad Bin Fahd University, Dean at American International University Kuwait, and Associate Dean at GUST, where he played a key role in curriculum development, program accreditation (ABET, NCAAA), and launching AI and cybersecurity programs. In the industry, he held senior positions at Intel Corporation and Saudi Aramco, overseeing impactful projects in HPC, network security, robotics, and IT/OT integration. He has also been a consultant, educator, and researcher at various global institutions, including Walden University, KFUPM, and UAE University.

Research Interests

Dr. Sibai's research is interdisciplinary, focusing on AI, machine learning, computer and embedded systems, high-performance computing, digital design, data science, robotics, and cybersecurity. His recent work includes AI for smart cities , AI ethics and regulation , ensemble learning models in healthcare , and network-on-chip architectures. He is also an expert in neural networks , fault-tolerant computing, and energy-aware systems, blending theoretical modeling with real-world applications.

Author Metrics

Dr. Sibai has authored or co-authored over 250 scholarly publications, including 78+ journal articles, 10 books/book chapters, and numerous conference papers . Many of these are indexed in Scopus and IEEE Xplore, with his work being cited nearly 1,000 times. He is a long-time member of editorial boards and technical committees for top journals and conferences.

Awards and Honors

Dr. Sibai’s career has been recognized with numerous prestigious awards, including the IBM Shared University Research Award , IBM Faculty Award, nVIDIA Research Grant, and multiple Intel awards for innovation and performance excellence. He was named among IBC’s Top 100 Engineers and Educators and featured in Who’s Who in the World. He is also a distinguished speaker at international conferences and won the Best Research Project Award at UAE University. As a Senior IEEE Member and a member of organizations like PMI and ISC2, he is widely respected in both academia and industry.

Publication Top Notes
1. ParaEyes: The Smart Eye Bot System for Paralyzed Patients

  • Authors: M. Al Jaziri, G. Al Ali, H. Al Swailmeen, A.A. El-Moursy, F.N. Sibai

  • Journal: Journal of Circuits, Systems and Computers, 2025

  • Summary:
    This paper presents ParaEyes, a smart assistive bot system that enables paralyzed patients to interact with their environment using eye movements and blinking patterns. Leveraging computer vision, machine learning, and sensor fusion, the system facilitates tasks such as communication and device control. The research highlights its real-world applicability in neurorehabilitation and patient autonomy, especially for individuals with ALS or spinal cord injuries.

2. Using The Cancer Genome Atlas from cBioPortal to Develop Genomic Datasets for Machine Learning Assisted Cancer Treatment

  • Authors: A. Asaduzzaman, C.C. Thompson, F.N. Sibai, M.J. Uddin

  • Platform: bioRxiv preprint, 2025.02.17.638660

  • Summary:
    This study extracts and preprocesses genomic data from The Cancer Genome Atlas (TCGA) using cBioPortal, creating machine-learning-ready datasets for the development of predictive models in personalized cancer treatment. It lays the foundation for using ML classifiers to assist oncologists in tailoring treatment plans based on genomic signatures, supporting precision oncology research.

3. The Robustness of AI-Classifiers in the Face of AI-Assisted Plagiarism: The Case of Turnitin AI Content Detector

  • Authors: K. Ibrahim, D. Otaibi, F.N. Sibai

  • Journal: International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 2025

  • Summary:
    This paper examines the reliability and vulnerability of AI-based plagiarism detection tools, particularly Turnitin’s AI Content Detector, in detecting content generated or modified by large language models (LLMs). The findings expose potential weaknesses in current detection algorithms and propose methods for enhancing AI classifier robustness in academic integrity systems.

4. Application of Ensemble Learning Models in Computer-Aided Diagnosis of Skin Diseases

  • Authors: A. Asaduzzaman, C.C. Thompson, F.N. Sibai, M.J. Uddin

  • Journal: Neural Computing and Applications, 2025

  • Summary:
    This research evaluates the performance of ensemble learning models (such as Random Forest, XGBoost, and AdaBoost) for diagnosing skin diseases using clinical and dermoscopic image data. The models showed high accuracy, sensitivity, and specificity, demonstrating that ensemble-based approaches can significantly enhance AI-aided dermatological diagnostics.

5. A Collaborative Adaptive Cybersecurity Algorithm for Cognitive Cities

  • Authors: A. Abonamah, F.N. Sibai

  • Journal: Journal of Computer Information Systems, 2025, pp. 1–16

  • Summary:
    This paper proposes a collaborative and adaptive cybersecurity framework designed for cognitive cities. It integrates machine learning algorithms and shared threat intelligence to enable smart urban infrastructure to defend against evolving cyber threats. The model improves resilience, detection, and adaptability in real-time, supporting safe digital environments in smart city ecosystems.

Conclusion

Assoc. Prof. Dr. Fadi Sibai is eminently qualified for the Best Researcher Award, standing out for his long-term research excellence, technological innovation, and strategic leadership in academic and applied AI domains. His work addresses societal challenges through AI, pushes forward smart infrastructure and cybersecurity, and contributes meaningfully to medical, ethical, and educational AI ecosystems.

His record of scholarship, innovation, mentorship, and global engagement makes him a deserving and ideal candidate for this prestigious honor. The award would not only recognize his decades of impact but also support his ongoing contributions to shaping the future of AI, education, and engineering.

Kazi Naimur Rahman -Mechatronics – Excellence in Research

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Kazi Naimur Rahman -Mechatronics

Mr. Kazi Naimur Rahman distinguished academic and researcher in the field Mechatronics and Computer Vision.  Kazi Naimur Rahman is a dedicated researcher with a profound passion for advancing knowledge in Mechatronics and Computer Vision. His academic journey is a testament to his commitment to rigorous exploration, showcasing a deep enthusiasm for contributing to cutting-edge projects and collaborating with fellow researchers. His expertise lies at the intersection of Mechatronics and Computer Vision, where he strives to push the boundaries of innovation and make significant contributions to these fields. Kazi Naimur Rahman’s relentless pursuit of excellence and collaborative spirit position him as a valuable asset in the realm of research, poised to make meaningful advancements in the convergence of Mechatronics and Computer Vision.

🌐 Professional Profiles

Educations: 📚🎓

He completed his Bachelor of Science in Engineering from the Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology in 2022. His academic journey continued as he pursued a Master of Science in Engineering from the Department of Mechanical Engineering at the same university, completing it in 2023. These educational experiences have equipped him with a strong foundation in both Mechatronics and Mechanical Engineering, shaping his expertise and preparing him for a promising career in the intersection of these fields.

Research Interests: 🧬🔬

Highly secured and Effective management of app-based online voting system using RSA encryption and decryption, deep learning verification technique, database security, admin panel. Applications of Network Science and Graph Analytics in Social, Biological, and Technological Networks,Mechatronics and Computer Vision,

Experience

After completing his Bachelor of Science in Engineering from the Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology (CUET) from 2017 to 2022, he took on the role of a lecturer in the same department at CUET. Currently stationed at CUET-4349 in Pahartali, Raozan, Chattogram, he has dedicated one year to his position. During this time, he has made significant contributions to research, with a notable achievement of publishing two Q1 journal articles on ScienceDirect. His research encompasses areas such as networking, deep learning, machine learning, and also involves app development. His commitment to academic excellence and research output showcases his dedication to advancing knowledge in the field of Mechatronics and Industrial Engineering.

📚Top Noted Publication

Arturo Roman Messina – Technical networks – Best Researcher Award

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Arturo Roman Messina – Technical networks

Dr. Asturo Roman Messina distinguished academic and researcher in the field Technical Network , Arturo Roman-Messina currently works at the Centre for Research and Advanced Studies (Cinvestav) of the National Polytechnic Institute of Mexico. His current project is ‘Spatio-temporal Analysis of wide-area data’.

🌐 Professional Profiles

Educations: 📚🎓

He earned his Ph.D. in Electrical Engineering from Imperial College of Science Technology and Medicine at the University of London in 1991. Prior to that, he completed his M.Sc. in Ingeniería Eléctrica at the Instituto Politécnico Nacional in Mexico in 1987. His educational journey began with a B.E. in Ingeniero Mecánico Electricista from the Universidad Autónoma de Guadalajara in Guadalajara, Mexico, in 1984. With a diverse academic background spanning institutions in both the United Kingdom and Mexico, he has cultivated a rich foundation in electrical engineering and related fields.

 

Awards and Achievements: 🏆👏

He has garnered numerous accolades and recognitions throughout his distinguished career. In 2023, his paper titled “A Data-Driven Under Frequency Load Shedding Scheme in Power Systems,” co-authored by Hemin Golpira, Hassan Bevrani, Bruno Francois, and himself, was selected as one of the five outstanding papers by the IEEE Transactions on Power Systems. In 2018, he received the IEEE Power System Dynamic Performance (PSDP) Committee Prize Paper Award for the paper “A Dynamic Mode Decomposition Framework for Global Power System Oscillation Analysis,” authored by E. Barocio, B. C. Pal, N. F. Thornhill, and A. R. Messina. The year 2013 brought him the IEEE Power Engineering Society, Power System Dynamic Performance Committee, Technical Committee Working Group Recognition Award for his contributions to the “Identification of Electromechanical Modes.

” His significant contributions to the analysis of electric power systems led to his election as a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2012. Among other notable awards, he received the Knowledge Leadership Award in 2011 for his paper on modal analysis of inter-area oscillations in the Mexican interconnected system. Additionally, he was recognized in 2006 with the IEEE Power Engineering Society, Power System Dynamic Performance Committee, Technical Committee Working Group Recognition Award for his involvement in the “Task Force on Assessing the Need to Include Higher-Order Terms for Small-Signal (Modal) Analysis.” Notably, in 1987, he graduated with honors and academic distinction, earning a Master’s Degree in Electrical Engineering-Power Systems from the National Polytechnic Institute of Mexico.

Academic Experience

He has held a distinguished academic position as a Professor in the Graduate Studies Program in Electrical Engineering at Cinvestav del IPN since 1997. His commitment to advancing knowledge extends globally, as evidenced by his various visiting appointments at renowned institutions. In 2005-2006, he served as a Visiting Research Associate in the Department of Electrical and Computer Engineering at Arizona State University, Tempe, AZ, USA. Further expanding his academic reach, he was a Visiting Professor at Iowa State University, Ames, Iowa, USA, in 2003-2004, and at Imperial College of Science Technology and Medicine in London, UK, in 1998.

Prior to these international positions, from 1995 to 1997, he held the role of Visiting Professor in the Department of Electrical Engineering at the Universidad de Guadalajara in Guadalajara, Mexico. His academic journey began in 1986, and over the course of nearly a decade, until 1995, he served as a Professor in the Graduate Studies Program in Electrical Engineering at the National Polytechnic Institute in Mexico. Through these roles, he has made significant contributions to the field and has played a pivotal role in shaping the education and research landscape in electrical engineering.

Professional Activities

He has actively contributed to various facets of the electrical engineering community through his extensive involvement in professional committees and editorial roles. From 2023 to 2024, he served as a Member of the IEEE Fellow Committee, demonstrating his commitment to recognizing excellence in the field. In the previous year, from 2022 to 2023, he continued his involvement as a Member. His leadership skills were evident from 2016 to 2019 when he served as the Chairman of the Power System Stability Control Subcommittee within the Power Systems Dynamic Committee at IEEE. In 2013, he became a member of the Editorial Advisory Panel of the Journal Electric Power Systems Research, showcasing his dedication to advancing scholarly publications.

He assumed the role of Editor for the Electric Power Components & Systems Journal in 2013, further contributing to the dissemination of knowledge in the field. Additionally, from 2012 to 2018, he served as the Secretary of the Power System Stability Control Subcommittee within the Power Systems Dynamic Committee at IEEE. His editorial contributions extended to serving as an Associate Editor for the IEEE Transactions on Power Systems from 2011 to 2018. Since 2009, he has been a member of the Editorial Board for Electric Power Components and Systems and the International Journal on Power Systems Optimization. Furthermore, from 2009 to 2011, he contributed his expertise as a member of the Editorial Board for The Open Electrical & Electronic Engineering Journal. His multifaceted involvement highlights his dedication to advancing the field both in terms of academic publications and professional committee responsibilities.

Books and book chapters

1. Arturo Román Messina, Wide-area Monitoring of Interconnected Power Systems
(Segunda edición), IET The Institution of Engineering and Technology, IET Energy
Engineering 213, 2022
2. Hemin Golpira, A. Roman Messina, Renewable Integrated Power System Stability and
Control, IEEE-Wiley, 2021
3. Arturo R. Messina, Data Fusion and Data Mining for Power System Monitoring, CRC
Press, USA, 2020.
4. Arturo R. Messina (Editor), Power System Stability and Control. 17th Edition of the
Standard Handbook for Electrical Engineers, McGraw-Hill, Section 20, 2018, pp. 1239-
1327.
5. Arturo R. Messina, Rafael Castellanos, Claudia M. Castro, Emilio Barocio, Armando
Jiménez Zavala, “Large-Scale Wind Generation Development in the Mexican Power
Grid: Impact Studies, Handbook of Distributed Generation, Springer Verlag, March
2017, pp. 109-148.
3. A. R. Messina, Wide-Area Monitoring of Large Power Systems, IET, London, U.K.,
2015
4. A. R. Messina, R. Castellanos, R. Betancourt, “Advanced Wide-Area angle stability and
voltage control”, (ebook) 2011, Nova Science Publishers, Inc., NY, USA
5. Arturo Roman Messina (Editor), Interarea Oscillations in Power Systems: A
Nonlinear and Nonstationary Perspective, Power Electronics and Power Systems Series,
Springer Verlag, New York, March 2009.
6. T.J. Browne, V. Vittal, G.T. Heydt, and A.R. Messina, “Practical Application of Hilbert
Transform Techniques in Identifying Inter-area Oscillations,” in Inter-area Oscillations
in Power Systems – A Nonlinear and Nonstationary Perspective, pp. 101-126, Springer,
2009.

📚Top Noted Publication

Fawaz Annaz- High Integrity Systems – Best Researcher Award

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Fawaz Annaz- High Integrity Systems

Dr. Fawaz Annaz  distinguished academic and researcher in the field High Integrity System. He is an accomplished Associate Professor in Mechatronics, boasting an impressive 26-year career marked by international acclaim in teaching, research, and curriculum development. As a Fellow of the Higher Education Academy, he possesses exemplary skills in teaching and learning. His fervor lies in instructing electrical, electronics, and mechatronics engineering, engaging students and collaborating with diverse staff backgrounds. A Chartered Engineer, he is dedicated to delivering innovative solutions for multidisciplinary engineering challenges. His expertise extends to the design and development of Smart Electromechanical Actuators in High Integrity Systems, a New Breed of Industrial Robots (with a secured European Patent), and Novel Drive Technology (also with a secured European Patent). With a proven international research record, he has successfully secured approximately 1.414 million in funding. Notably, he holds a European patent in robotics and has a pending US patent application. A polyglot, he effectively communicates ideas and conclusions to both specialists and non-specialists alike.

Professional Profiles:

Education

He earned in September 1996 from Queen Mary University of London. His research focused on the architecture design of smart electromechanical actuators, with a particular emphasis on their application in high-integrity multi-lane systems. The work made substantial contributions to the development of All-Electric Aircraft, leading to numerous international peer-reviewed publications. Currently, he continues to explore additional actuator architectures and investigates the impact of drift in transducer readings on system response. His innovative concepts have transcended aviation, resulting in a European patent for a new breed of industrial robots, registered in the UK, Germany, Sweden, Denmark, and Switzerland.

He earned a Master of Science in November 1989 from the University of East London, specializing in the engineering of dynamic systems. His thesis delved into the mathematical modeling and digital simulation of helical induction motors, along with the application of sliding mode control for position and torque control. This research laid the groundwork for advancements in planar actuators, crucial for a reaction-sphere system designed to replace gyroscopes in satellites. His findings have not only resulted in peer-reviewed publications but have also formed the basis for joint research collaborations with British Aerospace. These collaborations extend to diverse applications, including electric vehicles, high-speed trains, and boring machines.

 INTERNATIONAL RESEARCH ACTIVITIES

Throughout his tenure at Birmingham City University (BCU), He has been a driving force in advancing research and enterprise activities, particularly in the field of mechatronics. As evidenced by his proactive approach, he has consistently taken the lead in coordinating research initiatives and encouraging collaborative efforts, both in research and Ph.D. proposal submissions. Dr. [Your Name] has played a pivotal role in securing funding for various internal projects at BCU. Notably, his involvement in 14 internal applications has resulted in five successful endeavors, such as the CEBE Dean’s Ph.D. Scholarships for 2023-24 and the University Alliance Marie Sklodowska-Curie Cofund Consortium in 2021.

In addition to his success in internal applications, He has demonstrated a commitment to enhancing research infrastructure by leading efforts to acquire state-of-the-art equipment. His leadership in coordinating applications for research equipment, totaling £345,821, has contributed to elevating the quality of research in mechatronics, dynamics, and control. Notably, one successful application for a Swarm UAV Platform secured £4,421, showcasing his dedication to facilitating cutting-edge research tools that benefit both teaching and research activities.

UNIVERSITI TEKNOLOGI BRUNEI

• Led joint research in mechatronics and robotics with the MoD, Royal Police, Shell, and other
local farming industries.
• Benefits and major applications included local crop enhancement, oil rigs monitoring; and Joint
grant application to develop UAV platforms to monitor boarders and oilrigs

UNIVERSITY OF NOTTINGHAM (MALAYSIA CAMPUS)
• Investigated smart electromechanical actuators in High Integrity Systems
• Initiated the hardware-virtual-environment concept to monitor and navigate two and three
(omni driven) wheeled robots.
• Supervised several MSc students, 2 PhDs (one to completions) and one MPhil. PhD Topics
included:
⁓ Novel generation of industrial robots (resulted in EU patent).
⁓ Distinct mathematical signatures for speech (completed a US Patent).
• Investigated (with Senri Kinran University _Japan) the impact of mechatronics on the Japanese
aging population in homes for the elderly, particularly those with special physical needs.
FUKUI UNIVERSITY (FUKUI, JAPAN)
• Established the ‘High-Integrity Systems’ (HIS) laboratory, where I Hosted Japanese and
international undergraduate & postgraduate students to investigate architectures consolidation
in HIS, and application of vibration control to multi-hinged and chained system

MECHANICAL ENGINEERING LABORATORY (TSUKUBA, JAPAN)
Conducted research on:
• Vibration Control (VC) to multi-hinged and mass-spring (linear/rotary) chained systems.
• Active magnetic bearing systems in applications that required long shafts.
• Artificial heart development, focus on efficiency improvement and Impeller stability analysis.
SINGAPORE POLYTECHNIC
• Smart Electromechanical Actuators (SEMA): Continued investigating architecture
consolidation in SEMAs for the All-Electric Aircraft
• Electric Vehicle (EV) Propulsion System Development: I was an active member of the team
that delivered the first EV in Singapore 1996/7, and because of my experience in Brushless dc
motor (utilised in the design of the smart electromechanical actuation systems, PhD research)
my role was mainly related to the EV’s propulsion system development.
QUEEN MARY UNIVERSITY OF LONDON (UK)
o PhD Research: Design of multi-Lane smart actuators for the all-electric aircraft
o Post MSc: Modelling and simulation of sliding mode of helical and planar actuators

PUBLICATIONS