M Hanif Junos, Mohd Haris, S Saini (2025). Lightweight object detection models for real-time edge processing in aerial surveillance applications. IEEE Transactions on Aerospace and Electronic Systems, 61(2), 1410-1423. Q1 Journal
Senior Lecturer / Researcher
Dr. Mohamad Hanif Junos
School of Aerospace Engineering, Universiti Sains Malaysia
Office: Room 2.31
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Phone: Ext. 5947
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Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Research Background
Dr. Mohamad Hanif Junos is a Senior Lecturer and core artificial intelligence researcher within the School of Aerospace Engineering at Universiti Sains Malaysia. He completed his foundational B.S. degree in Aerospace Engineering from USM in 2013, followed by an M.S. in Mechanical Engineering from Universiti Teknologi Malaysia in 2016. He further achieved specialization by completing his Ph.D. in Electrical Engineering from University Malaya. His comprehensive research profile covers deep learning architectures, aerial object detection systems, and high-performance computer vision networks. Academically, he instructs courses in control system theory and satellite communications engineering, and holds active affiliations with the Board of Engineers Malaysia (BEM) and the Astronomical Society of Penang.
Current Research Focus Areas
- Development of lightweight deep learning models for deployment on edge intelligence hardware
- Computer vision based solar panel defect detection and degradation diagnostics
- Autonomous drone-based flood boundary detection and mapping models using deep learning
- Analyzing and tracking the dynamic velocity patterns of equatorial plasma bubbles
Recent Publications
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M Hanif Junos, Z Khairul, LE Ooi (2024). Deep learning-based semantic segmentation framework for thermal solar panel defect classification. Solar Energy Materials and Solar Cells, 268, 112710. Q1 Journal
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M Hanif Junos, A Anjang, S Harwani (2023). Evaluating equatorial plasma bubble velocity profiles using optical flow algorithms and space-imaging metrics. Journal of Atmospheric and Solar-Terrestrial Physics, 250, 106115. Q2 Journal
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M Hanif Junos, E Abu Bakar (2022). Computer vision framework for automated flood boundary tracking from high-altitude platforms. International Journal of Remote Sensing, 43(14), 5280-5299. Q2 Journal
Education Background
PhD in Electrical Engineering
University Malaya (UM)
M.S. in Mechanical Engineering
Universiti Teknologi Malaysia (UTM)
B.S. in Aerospace Engineering
Universiti Sains Malaysia (USM)
Research Interests
Computer Vision
Deep Learning
Aerial Object Detection
Solar Defect Monitoring
Lightweight NN Models