Y Dou, MH Junos (2026). Lightweight Visual Junction Recognition for Topological MAV Navigation Using Complementary Feature Fusion. International Journal of Computational Intelligence Systems, Volume 19.
Senior Lecturer / Researcher
Dr. Mohamad Haniff 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 Haniff 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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Idahwati Sarudin, Mohamad Haniff Junos, Nurul Shazana Abdul Hamid, Mardina Abdullah & Logesh Kumar Selvakumar (2026). Integrasi Pembelajaran Mendalam YOLOv9m dan Penglihatan Komputer Klasik bagi Pengenalpastian Struktur Gelembung Plasma Khatulistiwa daripada Keogram ROTI. Jurnal Kejuruteraan, 38(5), 2519-2531.
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MM Haq, ASM Khairuddin, E Hanafi, HMF Noman, MH Junos (2026). HAT-YOLO: Hybrid Attention and Transformer-Integrated Model for UAV Object Detection on Embedded Devices. KSII Transactions on Internet and Information Systems, Vol. 20, No. 2.
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MH Junos, AS Mohd Khairuddin, EA Bakar, AF Hawary (2025). Enhanced Lightweight YOLO Model for Efficient Vehicle Detection in Satellite Imagery. Iranian Journal of Electrical & Electronic Engineering, 21(2), 1.
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MH Junos, ASM Khairuddin (2025). YOLO-MMS for aerial object detection model based on hybrid feature extractor and improved multi-scale prediction. The Visual Computer, 41(7), 4759-4778.
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