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.

Ganesh Narasimhan – IOT Netwoks- Lifetime Achievement Award

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Ganesh Narasimhan – IOT Netwoks

Prof dr. Ganesh Narasimhan  distinguished academic and researcher in the field IOT Netwoks, WSN and Quantum computing (QCA). He has held various significant positions in the education sector throughout his career. Starting as a Lecturer at Sai Ram Tambaram from June 1995 to July 1997, he then progressed to become a Senior Lecturer at SVCE Pennalur, where he served from August 1997 to September 2004. Following this, he took on the role of Assistant Professor at BSA Crescent Chennai from June 2004 to June 2009. Continuing his journey, he served as the Principal at RIT Chennai for six years, from June 2009 to May 2015, before transitioning to the position of Principal at Saveetha Engineering College, where he worked until September 2017.

🌐 Professional Profiles

Educations: 📚🎓

He pursued his education with great dedication, achieving notable milestones along the way. In 1995, he completed his Bachelor of Engineering in Electronics and Communication Engineering (ECE) from APEC Madras, securing a remarkable 72% and earning a First-class distinction. Building on this foundation, he furthered his studies, obtaining a Master of Technology in Very Large Scale Integration (VLSI) from IITM in 2002, with a commendable 65% and again achieving First-class honors. Subsequently, he pursued his passion for research, culminating in the completion of his Doctor of Philosophy (Ph.D.) in Electronics and Communication Engineering from JNTU in 2008, where he excelled, earning a First-class distinction. Additionally, in recognition of his contributions to the field of Biomedical Engineering, he was bestowed with an Honorary Doctorate in 2019 by California Public University, California.

PATENT DETAILS

He has been actively involved in various innovative projects resulting in several patents pending evaluation in India. Notable among them is a rehabilitative wheelchair designed for disabled dogs, attributed to Mr. Kaushik, Dr. Hemalatha, and Br. E.N. Ganesh. Another patent involves an anaerosol solgel generating system with a specifically designed nozzle, credited to Mr. Nirmal, Swarna, Dr. E.N. Ganesh, and others. Additionally, he has contributed to the development of a smart suite aimed at assisting pregnant women, along with Dr. D. Sivakumar and Dr. E.N. Ganesh. Furthermore, he has been involved in the creation of a portable Braille device, method, and system, involving Nivash, K. Jawahar, and Dr. E.N. Ganesh. He has also contributed to projects such as a mind reader system in supermarkets and the integration of blockchain technology in banking and financial markets, alongside various collaborators. Additionally, he has contributed to an IoT-based Liquid Metal Leakage Alert system. These inventions reflect his commitment to innovation and problem-solving across diverse fields.

GRANTED

He has been actively involved in inventing various systems and methods across different fields, as evidenced by his patents granted in Australia. Notably, he has contributed to the development of a water consumption control system for irrigation based on IoT, alongside Padmanabhan and Arun Nageswaran. Additionally, he has been involved in creating systems for monitoring, sensing, analyzing, and handling the predetermined status of liquid metals, as well as a reduced data rate and triboelectric nano generator for direct sensory transmission in short-range wireless sensor networks. Furthermore, he has contributed to the invention of an IoT-based system for security and door access control. Alongside his patent contributions, he has an extensive track record of completed research projects, technical board memberships, grants received for workshops and faculty development programs, as well as involvement in consultancy projects. He has also published extensively in SCI journals and international conferences, won honors and awards, and taken on various organizational roles in academic and professional settings. Moreover, he has guided numerous PhD and industrial projects, handled a wide range of subjects, and participated in extracurricular activities, demonstrating a comprehensive commitment to research, education, and innovation.

SCI JOURNALS

1. Early and Accurate Model of Malignant Lung Nodule Detection System with Less
False Positives TS kumar, DEN Ganesh Brazilian archives of biology and
technology 5 (2), 72-87 – SCIE
2. Priority-based reserved spectrum allocation by multi-agent through
reinforcement learning in cognitive radio network B Jaishanthi, EN Ganesh, D
Sheela – SCIE Automatika 60 (5), 564-569
3. Power analysis of quantum cellular automata circuits EN Ganesh Procedia
Materials Science 10, 381-394
4. Three-dimensional lung nodule segmentation and shape variance analysis to
detect lung cancer with reduced false positives – SCIE TK Senthilkumar Proc
IMechE Part H: J Engineering in Medicine 230 (1), 58-74 SCIE
5. Detection of Optimized Intermediate Sensor Nodes Using Carrier Sensing
Power and Genus Factor for Energy Efficient Multipath Routing Protocol in
Wireless Sensor Networks K Stella, T Manikandan, EN Ganesh Sensor Letters 17
(4), 290-295
6. Experimental Analysis of Fault Tolerant Authentication in Non-Invasive
Epidermal Glucose Sensor Using SQEZLMRP Based Information Transmission in
Wireless Sensor Networks K Stella, EN Ganesh, T Manikandan Sensor Letters 16
(3), 224-233
7. Enhance packet transmission using improved channel assignment in wireless
mess network –SCIE B Sathyasri, EN Ganesh, P Senthilkumar Concurrency and
Computation: Practice and Experience, e5357 SCIE
8. Response Surface Methodology for Network Life Time Improvement in Bio
Wireless Sensor Networks – SCIE B Sathyasri, EN Ganesh, P Senthil Kumar

SIGNIFICANT HONORS / AWARDS 

Throughout his career, he has garnered numerous awards and accolades, highlighting his outstanding contributions to academia and research. Notably, he received the Best PhD Thesis Award from JNTU Hyderabad in 2009, along with a PhD Gold Medal. His excellence in research was further recognized with two DRIKF Research Excellence Awards in 2019 for publications in biomedical fields. He has also been honored with Teachers Day Appreciation Awards for his article and book publications, as well as for securing project sanction from DST. His dedication to teaching and academic achievement earned him the Best Faculty – Shri P K Das Memorial Award in 2013 and the Teachers Excellence Award in 2014. Additionally, he received the Bright Researcher Award from the International Institute of Organization Research in 2019 and the Student Innovator Award in 2016 for his project on RF radiation. His contributions to engineering education were recognized with the Best Engineering College Principal Award in 2016, among other accolades. Moreover, he has received numerous awards for his research papers and presentations, including Best Paper Awards at various conferences and symposiums. His consistent pursuit of excellence has solidified his reputation as a distinguished researcher and educator in his field.

BOOKS PUBLISHED

S.No Name of the Book / Authors Publisher ISBN No
1 Modelling and Design of Quantum Cellular Automata Circuits . Dr.E.N.Ganesh LAMBERT Academic Publishing/ 2019 3659909785
2 Basics of Quantum cellular automata LAMBERT Academic Publishing/2020 9783330080492
3 Digital QCA Systems LAMBERT Academic Publishing/2020 97862000222749
4 Alternative Energy sources LAMBERT Academic Publishing/2020 9786200224248
5 NANO Computer LAMBERT Academic Publishing/2022 978-620-4-98323-3
6 Digital Logic using VHDL Lap Publishing Germany/ 2020 9786200259097
7 IOT Arch and Protocols LAMBERT Academic Publishing/2022 978-620-5-49729-6
8 DSP Fundamental Pearson Education 2022 Final revision Awaiting

RESEARCH PROJECT

He has achieved significant milestones in academia, particularly in his roles as Vice Chancellor (Incharge), Chief Superintendent of Examinations, and Chairman for various examination-related committees at institutions such as Saveetha Engineering College (SEC) and Rajalakshmi Institutions of Technology (RIT). His leadership has resulted in notable accomplishments, including ranking SEC at 91 in India according to NIRF, consistently achieving above 80% results in Anna University examinations, and securing substantial funding for projects from organizations like MSME, MNRE NIWE, AICTE, and BRNS. His initiatives have led to the recognition of DSIR-SIRO and the establishment of two research centers at Anna University. Additionally, he has played instrumental roles in accreditation processes such as NBA and NAC, achieving UGC 12 B and 2 F status for SEC, and obtaining ISO BVQ-TV accreditation for both RIT and SEC. His commitment to academic excellence is evident through his involvement in numerous committees related to curriculum development, research, accreditation, and institutional governance. Furthermore, he has facilitated industry-oriented interactions, promoted patents and publications, and ensured a commendable 90% placement rate for students.

 📚Top Noted Publication