Assoc. Prof. Dr. Waleed Almuseelem | Information Security | Best Researcher Award

Assoc. Prof. Dr. Waleed Almuseelem | Information Security | Best Researcher Award

University of Tabuk, Saudi Arabia

Dr. Waleed Mohammad Hamad Almuseelem is a distinguished scholar and IT professional from Saudi Arabia, currently serving as an Associate Professor at the University of Tabuk. With a deep-rooted passion for information security, cloud computing, and cybersecurity, he seamlessly blends theoretical knowledge with practical applications. Fluent in Arabic, English, and Chinese, he is committed to advancing digital transformation and cybersecurity solutions. His entrepreneurial mindset and technical expertise contribute to both academia and industry, fostering innovation in IT and computer science. 🌍💻

Publication Profile

🎓 Academic Background

Dr. Almuseelem earned his Ph.D. in Computer Science and Technology with a specialization in Information Security from Wuhan University of Technology, China, in 2017, achieving an “Excellent” evaluation. His dissertation focused on enhancing data security and user privacy in cloud computing. Prior to this, he completed a Master’s in Computer Science and Technology from the same university in 2012, working on secure frameworks for Java smart cards. His academic journey began with a Bachelor’s in Computer Technical Engineering from Riyadh College of Technology in 2007. 📚🎓

💼 Professional Experience

With over 15 years of experience, Dr. Almuseelem has played significant roles in academia and industry. Since 2018, he has been an Associate Professor at the University of Tabuk, teaching undergraduate and master’s courses in IT, Computer Science, and Information Security. He also holds leadership roles, including Chairman of the Supervisory Committee for Foreign Languages and Member of the Quality and Academic Accreditation Committee. Previously, he worked with STC as a systems administrator and served in the Royal Saudi Air Defense Forces as a network administrator and technical support specialist. His expertise spans cloud security, Linux administration, and IT governance. 🏢💡

🏆 Awards and Honors

Dr. Almuseelem has received notable recognitions, including the Best Graduation Dissertation Award in Information Security from Wuhan University of Technology in 2012. His contributions to research and academia are acknowledged in numerous international conferences and workshops, where he shares insights on cybersecurity and open-source technologies. He is an invited speaker at global IT events and collaborates with leading institutions in cybersecurity research. 🏅🌟

🔬 Research Focus

Dr. Almuseelem’s research is centered on cloud security, intrusion detection, zero-trust architectures, and edge computing. He has contributed innovative solutions to data privacy, lightweight authentication, and IoT security. His work integrates AI and cybersecurity to tackle modern challenges in cloud and edge computing environments. Through national and international projects, he aims to develop robust security frameworks for healthcare 4.0, industrial IoT, and enterprise networks. His research is widely cited, influencing global cybersecurity standards. 🔍🛡️

🔗 Top Publications

Intrusion Detection Systems in Cloud EnvironmentMastering Intrusion Detection for Cybersecurity, IntechOpen, 2025.

A Novel Fuzzing for RPL Network Vulnerability Analysis and Vision Transformer-based Attack Detection for IIoTJournal of Harbin Engineering University, 2024.

Continuous and Mutual Lightweight Authentication for Zero-Trust Architecture-Based Security Framework in Cloud-Edge Computing-Based Healthcare 4.0Journal of Theoretical and Applied Information Technology, 2023.

Joint Devices Energy and Data Security for Task Offloading in Multi-Tier Edge-Cloud Computing SystemsIEEE Access, 2023.

Data Privacy and Security Model in Cloud EnvironmentInternational Conference on Computing and Information Technology (ICCIT), 2023.

User Privacy and Security in Cloud ComputingInternational Journal of Security and Its Applications, 2016.

Evaluation of Data Security and Privacy Faults in Cloud ComputingEDCAV Conference, 2016.

Data Security and Privacy in Cloud ComputingAdvanced Materials Research, 2014.

📢 Conclusion

Dr. Waleed Almuseelem is a visionary IT educator, researcher, and cybersecurity expert dedicated to shaping the future of digital security. His contributions to cloud security, intrusion detection, and zero-trust architectures have been recognized globally. Through academic leadership, research, and industry collaborations, he continues to advance cybersecurity innovations that benefit academia, industry, and national security. 🚀

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. 📚✨

Publication Profile

Education 🎓

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. 🎯

Experience 👩‍🏫

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. 🏆

Awards and Honors 🏅

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. 🏆🌟

Research Focus 🔬

Dr. Durgadevi’s research revolves around Cloud Computing, Machine Learning, Artificial Intelligence, and Swarm Optimization Algorithms. Her Ph.D. work focused on “An Optimal Resource Discovery and Allocation in Cloud Using Hybrid Swarm Optimization Algorithms”, 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. 🚀

Conclusion 🌍

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. 🚀🎯

Publications 📖

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, 2020Cited by 34

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

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

 

Innocent Ababio | Internet of Things Award | Best Researcher Award

Mr. Innocent Ababio | Internet of Things Award | Best Researcher Award

Student, Fordham University, United States

Innocent Boakye Ababio is a skilled software engineer and machine learning researcher based in New York, USA, with over five years of professional experience. He specializes in building cutting-edge machine learning models, optimizing algorithms for computer vision and generative tasks, and enhancing SaaS infrastructures. Proficient in Python, C++, and cloud technologies, Innocent has a proven track record of solving complex technical challenges and delivering impactful solutions. 🌟

Publication Profile

Google Scholar

Education 🎓

Innocent holds a Master of Science in Data Science from Fordham University, New York, expected in December 2024. He also earned a Master of Engineering in Computer Science from Hubei University of Technology, China, in July 2020, and a Bachelor’s degree in Computer Science from the University of Cape Coast, Ghana, in June 2017. 📘

Experience 💼

In his role as a Research Assistant at Fordham University, Innocent develops machine learning models for generative and computer vision tasks. He previously worked as a Software Development Engineer at Autodesk, where he improved cloud-based libraries and contributed to developing Fusion Design features. As a Technical Support Engineer at Microsoft (Wicresoft), Innocent ensured system stability and performance for Office 360 products. He also gained early experience as a Software Developer at Ropat Systems, Ghana, creating APIs to enhance backend services. 🚀

Awards and Honors 🏆

Innocent has earned recognition for his impactful research and engineering contributions, although specific awards are not listed here. His commitment to excellence is evident in his successful projects and impactful professional journey. 🎖️

Research Focus 🔬

Innocent’s research interests span machine learning, natural language processing, distributed systems, and computer vision. He explores advanced topics such as heuristic link prediction, federated learning, and bias detection in large language models, leveraging frameworks like PyTorch and TensorFlow to push the boundaries of innovation. 🌐

Conclusion 🌟

Innocent Boakye Ababio is a visionary software engineer and machine learning researcher passionate about solving real-world problems through innovative technologies. His strong educational foundation, diverse professional experience, and dedication to impactful research make him a leader in his field. 🌍

Publications 📚

A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT
Published Year: 2023, Journal: International Journal of IoT and Applications, Cited by: 15 articles

Emotions, Hate Speech, and Bias Evaluation Detection for Large Language Models
Published Year: 2023, Journal: Journal of AI Ethics, Cited by: 10 articles

Heuristic Link Prediction Based on Graph Attention Mechanism
Published Year: 2022, Journal: Journal of Graph Algorithms and Applications, Cited by: 20 articles

Fordham AR App
Published Year: 2023, Conference: Proceedings of ARTech 2023, Cited by: 5 articles

See’t App
Published Year: 2021, Conference: International Conference on Software Applications, Cited by: 8 articles