Prince Sattam Bin Abdulaziz University | Saudi Arabia

PUBLICATION PROFILE

INTRODUCTION 🌟

Dr. Sultan Ahmad is a distinguished academician and researcher in the field of Computer Science, currently serving as a Senior Lecturer at Prince Sattam Bin Abdulaziz University in Al-Kharj, Kingdom of Saudi Arabia. With over 15 years of academic experience and a rich background in industrial work, Dr. Ahmad has become a pivotal figure in AI, IoT, and Sustainable Development research. His dedication to advancing knowledge and contributing to societal betterment is exemplified through his ongoing and completed research projects.

EARLY ACADEMIC PURSUITS 🎓

Dr. Ahmad began his academic journey with a Bachelor of Science in Computer Science and Applications from Patna University, India, where he achieved distinction in 2002. He further pursued a Master of Computer Science and Applications from Aligarh Muslim University, graduating with distinction in 2006. His pursuit of excellence continued with a Ph.D. in Computer Science from Glocal University, Saharanpur, India. These foundational achievements have laid the groundwork for his extensive contributions to computer science research and education.

PROFESSIONAL ENDEAVORS 💼

Since 2009, Dr. Sultan Ahmad has been a Senior Lecturer in the College of Computer Engineering and Sciences at Prince Sattam Bin Abdulaziz University. His professional journey spans both academic and industrial sectors, with over three years of industrial work experience and a significant academic role. His research expertise includes AI-based models, IoT, Smart Cities, Agriculture 4.0, and innovative solutions for enhancing technological infrastructure.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Ahmad’s research is primarily focused on the intersection of Artificial Intelligence, Internet of Things (IoT), and Sustainable Development. His ongoing research projects include AI-based models for facial emotion recognition and politeness assessment, as well as AI and IoT approaches for sustainable smart cities. He has also led groundbreaking projects in IoT-based agriculture security, intrusion detection systems, and the integration of IoT and fog computing in the 5G era. Dr. Ahmad’s work is at the forefront of addressing current technological challenges and envisioning future solutions.

IMPACT AND INFLUENCE 🌍

Through his leadership in research and academic contributions, Dr. Sultan Ahmad has made a significant impact on both the academic community and society. His work in AI, IoT, and sustainable development aims to create smart, secure, and sustainable environments that can improve quality of life globally. The outcomes of his projects, such as advancements in agriculture security and smart cities, hold immense potential to address pressing global challenges.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Sultan Ahmad’s scholarly output is impressive, with multiple publications in prestigious journals and conferences. He has received recognition for his work in the areas of machine learning, cloud computing, IoT, and 5G technologies. His research papers are widely cited in academic circles, and his contributions are accessible through platforms like Google Scholar and Scopus, highlighting his influence in the field.

HONORS & AWARDS 🏆

Dr. Sultan Ahmad’s excellence in research and academia has been recognized through various accolades. He holds a certification from DELL EMC as an Academic Associate in Cloud Infrastructure and Services. Additionally, his contributions as an academic editor, reviewer for renowned journals, and guest editor for special issues have further solidified his standing in the academic community.

LEGACY AND FUTURE CONTRIBUTIONS 🚀

Dr. Sultan Ahmad’s legacy is characterized by his relentless pursuit of innovation and his passion for developing technologies that benefit society. His future endeavors are focused on further advancing the field of AI and IoT, particularly in areas that contribute to the betterment of smart cities, agriculture, and sustainable development. As an educator, he continues to inspire the next generation of computer science professionals, ensuring that his influence will be felt for years to come.

FINAL NOTE ✨

Dr. Sultan Ahmad’s journey from an early academic enthusiast to a prominent figure in the fields of AI, IoT, and Sustainable Development is a testament to his dedication and passion for technology. His ongoing research projects and academic endeavors promise to make a lasting impact on the world, and his commitment to shaping future generations of scholars is evident in his teaching and mentorship.

TOP NOTES PUBLICATIONS 📚

A Novel AI-Based Stock Market Prediction Using Machine Learning Algorithm

- Authors: M Iyyappan, S Ahmad, S Jha, A Alam, M Yaseen, HAM Abdeljaber
- Journal: Scientific Programming
- Year: 2022

Architecture of Data Lake

- Authors: S Ahmad, A Singh
- Journal: International Journal of Scientific Research in Computer Science
- Year: 2019

Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things

- Authors: S Ahmad, S Khan, MF AlAjmi, AK Dutta, LM Dang, GP Joshi, H Moon
- Journal: Computers, Materials & Continua
- Year: 2022

Secure Smart Healthcare Monitoring in Industrial Internet of Things (IIoT) Ecosystem with Cosine Function Hybrid Chaotic Map Encryption

- Authors: J Khan, GA Khan, JP Li, MF AlAjmi, AU Haq, S Khan, N Ahmad, …
- Journal: Scientific Programming
- Year: 2022

IoT Based Pill Reminder and Monitoring System

- Authors: S Ahmad, H Mahamudul, M Gouse Pasha
- Journal: International Journal of Computer Science and Network Security
- Year: 2020

Efficient communication in wireless sensor networks using optimized energy efficient engroove leach clustering protocol

- Authors: N Meenakshi, S Ahmad, AV Prabu, JN Rao, NA Othman, HAM Abdeljaber, …
- Journal: Tsinghua Science and Technology
- Year: 2024

Ensemble learning driven computer-aided diagnosis model for brain tumor classification on magnetic resonance imaging

- Authors: T Vaiyapuri, J Mahalingam, S Ahmad, HAM Abdeljaber, E Yang, …
- Journal: IEEE Access
- Year: 2023

Akram Bennour | Biometrics | Outstanding Scientist Award

Posted on 07/12/202407/12/2024 by ScienceFather

Dr. Akram Bennour | Biometrics | Outstanding Scientist Award

Echahid cheikh Larbi Tebessi University, Algeria

👨‍🎓Professional Profile

Google Scholar Profile

🏫 Current Position and Academic Leadership

Dr. Akram Bennour has been an Associate Professor in the Computer Science Department at the University of Tebessa, Algeria, since 2009. Throughout his tenure, he has led several academic and research initiatives, significantly shaping the university’s research output. Notably, he has served as the Vice-Rector in charge of Scientific Research and International Cooperation (2012-2014) and Deputy Vice-Rector for higher education and continuing education (2019). Additionally, he holds leadership roles in various committees, including scientific and disciplinary bodies, reflecting his influence within the academic governance structure of the university.

📚 Early Academic Pursuits and Education

Dr. Bennour’s academic journey began with his Bachelor’s degree in Computer Science (2004) from the University of Mantouri, Constantine. He then completed a Magistere in Computer Science at the University of Tebessa in 2009, followed by a Doctorate in Computer Science from the University of Annaba in 2015. His commitment to advanced research led him to earn his Habilitation degree in 2019 from the University of Oum-el-Bouaghi, Algeria, marking a pivotal moment in his academic career.

🔍 Contributions and Research Focus

Dr. Bennour’s research spans across multiple areas, emphasizing nature-inspired metaheuristics, evolutionary computation, machine learning, artificial intelligence, and pattern recognition. His work delves deeply into image processing, especially in the contexts of satellite imagery, handwriting, and medical imaging. His contributions have significantly impacted AI and computational methods applied to medical diagnostics, such as his recent focus on early detection of neural diseases through handwriting analysis (2022-2025) and pulmonary disease diagnosis (2023-2026).

He has been actively involved in various research projects, including:

Multi-Temporal Analysis of Images and Data Processing (2010-2013)
Knowledge Extraction and Analysis (2013-2016)
Data Protection within Electronic Administration (2020-2023)

🌍 Professional Endeavors and Global Impact

Dr. Bennour’s influence extends beyond academia. He serves as an editorial leader and guest editor for several prestigious journals, including Springer’s Pattern Recognition Letters and SNCS Special Issues, focusing on machine learning and pattern recognition. His editorial leadership has contributed to advancing research in these fields and providing a platform for global research collaborations.

Additionally, he plays an instrumental role in organizing international conferences, such as the Springer International Conference on Intelligent Systems and Pattern Recognition (ISPR), where he has served as General Chair multiple times. These roles underscore his commitment to fostering global research dialogues and knowledge exchange.

📖 Teaching Experience and Mentorship

Dr. Bennour has an extensive teaching portfolio, reflecting his dedication to educating the next generation of computer scientists. His teaching spans various critical topics, including:

Artificial Intelligence
Computer Vision
Data Structures and Algorithms
Operating Systems and Security

He has taught both undergraduate and graduate courses since 2009, with his courses focusing on hands-on programming languages (e.g., Python, C++, MATLAB) and technical areas such as machine learning, image processing, and network security. His passion for teaching is evident in his role as Head of Master’s and Bachelor’s programs at the University of Tebessa, where he has shaped the curriculum to align with current industry needs.

⚙️ Technical Skills and Expertise

Dr. Bennour is highly skilled in a range of technical areas, including:

Programming Languages: SQL Server, MATLAB, Python, C++, PHP/MySQL, Pascal
AI & Machine Learning: Expertise in pattern recognition, image analysis, and biometrics
System Administration: Proficient in Windows, Unix, and VMware environments
Data Protection & Security: Advanced skills in backup systems, Exchange servers, and Active Directory management

His interdisciplinary expertise positions him as an authority in combining AI technologies with practical applications, especially in medical diagnostics and cybersecurity.

🌟 Legacy and Future Contributions

Dr. Bennour’s contributions to both academia and industry are profound, particularly in the application of AI for real-world problems. His research continues to shape the landscape of intelligent systems, and his leadership in international conferences and journals ensures that his influence remains global. As he continues his work on early disease detection and advanced AI applications, his future contributions are likely to have significant societal impacts, particularly in healthcare and medical technology.

📈 Academic Influence and Citations

Dr. Bennour’s extensive body of research has contributed to the growing body of literature in his fields of expertise. Through his publications and editorial roles, he has advanced the academic discourse surrounding AI, machine learning, image processing, and pattern recognition. His work on pattern recognition, especially in medical contexts, is frequently cited and serves as a foundation for other scholars in related fields.

🌐 Professional Memberships and Global Networks

Dr. Bennour is an active member of several international academic communities. His roles as General Chair for the ISPR conferences and his participation in organizing multiple international conferences demonstrate his commitment to fostering global collaboration and advancing research in intelligent systems and pattern recognition. His editorial work further solidifies his position as a key figure in the academic and research community.

📖Top Noted Publications

Channel and Spatial Attention in Chest X-Ray Radiographs: Advancing Person Identification and Verification with Self-Residual Attention Network

- Authors: H. Farah, A. Bennour, N. A. Kurdi, S. Hammami, M. Al-Sarem
- Journal: Diagnostics
- Year: 2024

An innovative framework to securely transfer data through the Internet of Things using advanced generative adversarial networks

- Authors: A. Bennour, M. Elhoseny, B. D. Veerasamy, R. Bhatt, A. Agrawal, P. K. Shukla, et al.
- Journal: Journal of High Speed Networks
- Year: 2024

Unveiling Parkinson’s: Handwriting Symptoms with Explainable and Interpretable CNN Model

- Authors: A. Zemmar, A. Bennour, M. Tahar, F. Ghabban, M. Al-Sarem
- Journal: International Journal of Pattern Recognition and Artificial Intelligence
- Year: 2024

Park-Net: A Deep Model for Early Detection of Parkinson’s Disease Through Automatic Analysis of Handwriting

- Authors: A. Bennour, T. Mekhaznia
- Journal: SN Computer Science
- Year: 2024

Beyond Traditional Biometrics: Harnessing Chest X-Ray Features for Robust Person Identification

Authors: F. Hazem, B. Akram, T. Mekhaznia, F. Ghabban, A. Alsaeedi, B. Goyal
Journal: Acta Informatica Pragensia
Year: 2024