Prof. Maode Ma | Network Security | Best Researcher Award

Prof. Maode Ma | Network Security | Best Researcher Award

Professor, Qatar University, Singapore

Dr. Maode Ma is a distinguished Research Professor at the KINDI Computing Research Center, College of Engineering, Qatar University, Doha . With decades of dedicated service in academia and research, Dr. Ma has significantly contributed to the fields of network security, AI applications, and wireless networking. His academic and professional journey spans across China, Hong Kong, Singapore, and Qatar, showcasing a robust international presence and an impressive track record in scholarly research and innovation.

Publication Profile

Google scholar

๐ŸŽ“ Education Background

Dr. Ma earned his Ph.D. in Computer Science (Computer Networks) from the Hong Kong University of Science and Technology in 1999 ๐ŸŽ“. He holds a Masterโ€™s degree in Computer Engineering (Computer Architecture) from Tianjin University, China (1991), and a Bachelorโ€™s degree in Computer Engineering (Automatic Control) from the prestigious Tsinghua University, Beijing (1982) ๐Ÿง .

๐Ÿ’ผ Professional Experience

He currently serves as a Research Professor at Qatar University (since 2021) and previously held academic positions at Nanyang Technological University, Singapore (2000โ€“2021) as an Assistant and later Tenured Associate Professor ๐Ÿซ. Dr. Ma has also worked as a Consultant, Lecturer, Engineer, and Project Engineer at various esteemed institutions including Tianjin University and the National Education Committee of China, reflecting over 40 years of technical and teaching experience globally ๐ŸŒ.

๐Ÿ… Awards and Honors

Dr. Ma received the Best Paper Award at the 2024 IEEE 5th Annual World AI IoT Congress ๐Ÿ† and the prestigious 2019 Lifetime Achievement Award by Marquis Whoโ€™s Who, recognizing his longstanding contributions and leadership in the field of computer science and engineering .

๐Ÿ”ฌ Research Focus

Dr. Maโ€™s research interests lie at the intersection of Network Security ๐Ÿ”, AI Applications ๐Ÿค–, and Wireless Networking ๐Ÿ“ก. He has led and contributed to multiple international research projects, notably in areas such as secure V2X networks, 5G access authentication, blockchain for autonomous driving, mobile cloud security, and IoT communication frameworks. His research has been funded by premier agencies like A*STAR, Singapore Ministry of Education, National Natural Science Foundation of China, and others, affirming the practical and theoretical impact of his work .

โœ… Conclusion

Dr. Maode Ma is a globally respected academic and researcher whose expertise spans decades and continents ๐ŸŒ. His work continues to shape emerging technologies and their secure applications in modern digital infrastructure, making him a highly influential figure in both academic and industrial spheres ๐Ÿง‘โ€๐Ÿ”ฌ.

๐Ÿ“š Top Publicationsย 

Access Authentication for Massive Terminals in 5G Wireless Networks
๐Ÿ“… Published: 2020 | ๐Ÿ“˜ IEEE Access | ๐Ÿ“ˆ Cited by: 153 articles

Toward Secure and Privacy-Preserving Computing in Mobile Cloud
๐Ÿ“… Published: 2018 | ๐Ÿ“˜ IEEE TCC | ๐Ÿ“ˆ Cited by: 129 articles

Blockchain-Based Risk Evaluation and Secure Communication for Autonomous Driving
๐Ÿ“… Published: 2020 | ๐Ÿ“˜ IEEE IoT Journal | ๐Ÿ“ˆ Cited by: 94 articles

Design of Security Functionality for Next-Generation V2X Network Architecture
๐Ÿ“… Published: 2021 | ๐Ÿ“˜ IEEE VTM | ๐Ÿ“ˆ Cited by: 60 articles

Security Framework for Machine-to-Machine Communications in IoT
๐Ÿ“… Published: 2016 | ๐Ÿ“˜ IEEE TII | ๐Ÿ“ˆ Cited by: 215 articles

 

Dr. DURGADEVI P | Network security | Best Researcher Award

Dr. DURGADEVI P | Network security | Best Researcher Award

Assistant Professor, SRM INSTITUTE OF SCIENCE AND ENGINEERING, India

Dr. P. Durgadevi is a passionate academician and researcher in the field of Computer Science and Engineering with over 16 years of teaching and research experience. She is currently serving as an Assistant Professor (S.G.) at SRM Institute of Science and Technology, Vadapalani, Chennai. Her expertise spans across Cloud Computing, Machine Learning, Artificial Intelligence, and Swarm Optimization Algorithms. She has made significant contributions to academia by mentoring research scholars, publishing high-impact papers, and actively participating in professional organizations. Her commitment to excellence has earned her multiple awards and recognitions, establishing her as a distinguished educator and researcher. ๐Ÿ“šโœจ

Publication Profile

Education ๐ŸŽ“

Dr. Durgadevi holds a Ph.D. in Information and Communication Engineering from Anna University, Chennai (2019). She completed her M.E. in Computer Science and Engineering from Arunai Engineering College, Tiruvannamalai with 84% (2009) and her B.Tech in Information Technology from Kamban Engineering College, Tiruvannamalai with 82% (2005). Her strong academic background has laid the foundation for her impactful research in computing and optimization techniques. ๐ŸŽฏ

Experience ๐Ÿ‘ฉโ€๐Ÿซ

With a career spanning over 16 years, Dr. Durgadevi has held various prestigious teaching positions. She has been an Assistant Professor (S.G.) at SRM Institute of Science and Technology since October 2023 and previously served as an Assistant Professor (Sr.G.) at the same institution (2020-2023). She has also worked as an Associate Professor at Vel Tech Dr. Rangarajan Dr. Sagunthala R&D Institute of Science and Technology and as an Assistant Professor at RMK College of Engineering and Technology and Arunai Engineering College. Her extensive experience in teaching, research supervision, and academic mentoring has contributed significantly to the growth of students and young researchers. ๐Ÿ†

Awards and Honors ๐Ÿ…

Dr. Durgadevi has received numerous accolades for her contributions to academia and research. She was honored with the “Best Teaching Faculty” award by Dr. Abdul Kalam Education Trust (2019) and the “Young Woman in Engineering” award by Venus Foundation (2018). She has been recognized as a Top Performing Mentor by NPTEL, earning multiple Elite and Silver Certifications for excellence in courses like Big Data Computing and The Joy of Computing in Python. She has also received Best Paper Awards at renowned international conferences such as ICCAI 2021 and ICOICI 2022. Her commitment to academic excellence is further demonstrated by her lifetime memberships in prestigious organizations like ISTE, CSI, IAENG, and CSTA. ๐Ÿ†๐ŸŒŸ

Research Focus ๐Ÿ”ฌ

Dr. Durgadeviโ€™s research revolves around Cloud Computing, Machine Learning, Artificial Intelligence, and Swarm Optimization Algorithms. Her Ph.D. work focused on โ€œAn Optimal Resource Discovery and Allocation in Cloud Using Hybrid Swarm Optimization Algorithmsโ€, aiming to enhance cloud resource management efficiency. She is an active research supervisor at SRM Institute of Science and Technology, guiding four research scholars and serving as a Doctoral Committee Member for Anna University scholars. Her work emphasizes metaheuristic optimization, network security, and intelligent computing, contributing to the development of robust and scalable computing solutions. ๐Ÿš€

Conclusion ๐ŸŒ

Dr. P. Durgadevi is an accomplished researcher, educator, and mentor, making remarkable strides in the field of Computer Science and Engineering. Her dedication to research, excellence in teaching, and active engagement in professional communities have solidified her reputation as a leading academician. With her extensive contributions to Cloud Computing, AI, and Swarm Intelligence, she continues to inspire and shape the next generation of computing professionals. ๐Ÿš€๐ŸŽฏ

Publications ๐Ÿ“–

Optimizing network security: Weighted average ensemble of BPNN and RELM in EPRN-WPS intrusion detection

Resource Allocation in Cloud Computing using SFLA and Cuckoo Search Hybridization, International Journal of Parallel Programming, 2020 โ€“ Cited by 34

Task Scheduling using Amalgamation of Metaheuristics Swarm Optimization Algorithm and Cuckoo Search in Cloud Computing, Journal for Research, 2015 โ€“ Cited by 11

Recognition of Face Grounded on Aging Factors by Exploiting AI Techniques, Annals of the Romanian Society for Cell Biology, 2021 โ€“ Cited by

Flood Detection and Management using IoT and Correlation Analysis, Journal of Interdisciplinary Cycle Research, 2021

Comparative Analysis of Color and Texture-Based Skin Recognition Techniques, Psychology and Education Journal, 2021

Public Key Encryption with Keyword Search, International Journal of Advance Research, Ideas, and Innovations, 2021

Prediction and Control of Accident Risks Using Logistic Model Learning Technique, Solid State Technology, 2020

Bank Endorsement Classification: A Novel Content-Based Approach Using Pupil Tracking Technology, Journal of Computational and Theoretical Nanoscience, 2020

 

Nordine Quadar | Cybersecurity | Best Researcher Award

Mr. Nordine Quadar | Cybersecurity | Best Researcher Award

Researcher, Royal Military College of Canada, Canada

๐ŸŽ“ Nordine Quadar, P.Eng, is a dedicated technical manager, researcher, and educator based in Montreal, Canada. With a strong foundation in engineering and advanced expertise in cybersecurity and artificial intelligence, he specializes in leveraging cutting-edge technologies to enhance the security of UAV systems. Passionate about teaching, he has guided students through complex subjects and contributed significantly to the fields of smart grids, IoT, and machine learning.

Publication Profile

Google Scholar

Education

๐Ÿ“š Nordine Quadar holds a PhD in Computer Science (in progress, 2022โ€“2025) from the Royal Military College of Canada, supervised by Abdellah Chehri, focusing on UAV cybersecurity using Edge AI. He earned a Master of Applied Science in Electrical & Computer Engineering (2015โ€“2018) from the University of Ottawa under the supervision of Claude Dโ€™Amours, with a thesis on spatial modulation for MIMO-CDMA systems. He also completed his Bachelor of Applied Science in Electrical Engineering (2011โ€“2014) at the University of Ottawa.

Experience

๐Ÿ’ผ Technical Expertise defines Nordine’s career. As a teaching assistant at the University of Ottawa (2015โ€“2017), he facilitated labs, study groups, and lecture preparations for courses like computer networks, applied electromagnetism, and computer architecture. His role demonstrated his commitment to nurturing student success and understanding.

Research Interests

๐Ÿ” Nordine’s research interests center on cybersecurity, AI-powered intrusion detection systems, digital twins for smart grids, and IoT testbeds. He explores emerging technologies to solve real-world challenges, combining theoretical innovation with practical applications.

Awards

๐Ÿ† Nordine has earned recognition for his impactful contributions to engineering and research, highlighting his commitment to excellence in academia and technical leadership.

Publications

N. Mchirgui, N. Quadar, et al. The Applications and Challenges of Digital Twin Technology in Smart Grids: A Comprehensive Review. Applied Sciences, 2024. DOI:10.3390/app142310933

N. Quadar, A. Chehri, et al. Intrusion Detection Systems in Automotive Ethernet Networks: Challenges, Opportunities and Future Research Trends. IEEE Internet of Things Magazine, 2024, Vol. 7, No. 2, pp. 62โ€“68.

N. Quadar, M. Rahouti, et al. IoT-AI/Machine Learning Experimental Testbeds: The Missing Piece. IEEE Internet of Things Magazine, 2024, Vol. 7, No. 1, pp. 136โ€“143.

N. Quadar, H. Chaibi, et al. Recommendation Systems: Models, Techniques, Application Fields and Ethical Challenges. In Proceedings of the 7th International Conference on Big Data and Internet of Things (BDIoT โ€™24), 2024.