Assoc. Prof. Dr. Aman Bin Jantan | Computer Science | Best Researcher Award
Universiti Sains Malaysia | Malaysia
Author Profile
Early Academic Pursuits 🎓
Assoc. Prof. Dr. Aman Bin Jantan's academic journey is rooted in a strong foundation in computer science. He earned his Bachelor’s degree (1993) and Master’s in Computer Science (AI) (1996) from Universiti Sains Malaysia (USM), where he laid the groundwork for his expertise in artificial intelligence and software engineering. His research on FrameLog Compiler Construction during his MSc reflected an early inclination toward programming languages and AI-driven system development. His PhD in Software Engineering (2002) from USM further solidified his prowess, focusing on the redefinition of expert system development languages—a groundbreaking contribution to the field.
Professional Endeavors 🏢
Dr. Aman has had an extensive career in both academia and industry. His professional journey began as a Research Officer at USM’s AI Lab in 1993, followed by roles as a Graduate Assistant and Lecturer. His passion for education saw him taking up lecturing positions at Stamford College, UiTM Shah Alam, and USM. Apart from academia, he ventured into the tech industry by establishing his own ICT business, offering software solutions, IT services, and computer training. Since 2002, he has been an integral part of USM’s School of Computer Sciences, where he now serves as an Associate Professor.
Contributions and Research Focus 🔬
Dr. Aman’s research spans across multiple domains, including:
Information Security – Intrusion Detection, Cyberwarfare, Encryption, Steganography, and Electronic Forensics.
Software Engineering – Fault Tolerance, Component-Based System Development, and Software Quality Assurance.
Artificial Intelligence – Machine Learning, Neuro-Fuzzy Systems, and Expert Systems.
His work on network security, intrusion detection, and machine learning-driven cybersecurity solutions has significantly impacted the field. His innovative Honeybee Intelligent Model for Network Zero-Day Attack Detection is a notable contribution that has been widely recognized.
Accolades and Recognition 🏆
Dr. Aman’s excellence in teaching and research has earned him multiple Excellent Service Awards (2007, 2011, 2020). His publications in high-impact journals, including those on financial crime prevention, AI-driven profiling, and cybersecurity measures, have established him as a thought leader in his domain.
Impact and Influence 🌍
As an academic and researcher, Dr. Aman has shaped the next generation of cybersecurity experts and software engineers. His workshops, mentorship, and leadership in the field of information security have influenced policy-making and corporate cybersecurity strategies. His Security and Forensic Research Group Laboratory at USM is a hub for cutting-edge research in cyber defense technologies.
Legacy and Future Contributions 🚀
Dr. Aman’s contributions to artificial intelligence, cybersecurity, and software engineering will continue to shape the landscape of digital security and computing. His commitment to advancing cybersecurity education and research ensures that future professionals will be well-equipped to tackle emerging threats in an increasingly digital world. With a strong portfolio of research, industry collaborations, and mentorship, Dr. Aman remains a driving force in the evolution of AI-driven security solutions. His future work is expected to redefine the intersection of AI and cybersecurity, making digital systems safer and more resilient.
Publications
-
📄 Enhancing Neighborhood-Based Co-Clustering Contrastive Learning for Multi-Entity Recommendation
-
Authors: J. Liao, Juan; A.B. Jantan, Aman Bin; Z. Liu, Zhe
-
Journal: Engineering Applications of Artificial Intelligence
-
Year: 2025
-
-
📄 Digital Forensic Investigation on Social Media Platforms: A Survey on Emerging Machine Learning Approaches
-
Authors: A.A. Kazaure, Abdullahi Aminu; A.B. Jantan, Aman Bin; M.N. Yusoff, Mohd Najwadi
-
Journal: Journal of Information Science Theory and Practice
-
Year: 2024
-
-
📄 Digital Forensics Investigation Approaches in Mitigating Cybercrimes: A Review
-
Authors: A.A. Kazaure, Abdullahi Aminu; A.B. Jantan, Aman Bin; M.N. Yusoff, Mohd Najwadi
-
Journal: Journal of Information Science Theory and Practice
-
Year: 2023
-
-
📄 A Machine Learning Classification Approach to Detect TLS-Based Malware Using Entropy-Based Flow Set Features (Open Access)
-
Authors: K. Keshkeh, Kinan; A.B. Jantan, Aman Bin; K. Alieyan, Kamal
-
Journal: Journal of Information and Communication Technology
-
Year: 2022
-
-
📄 Multi-Behavior RFM Model Based on Improved SOM Neural Network Algorithm for Customer Segmentation (Open Access)
-
Authors: J. Liao, Juan; A.B. Jantan, Aman Bin; Y. Ruan, Yunfei; C. Zhou, Changmin
-
Journal: IEEE Access
-
Year: 2022
-