Mohammad Farhan, Qusay Shihab Hamad, Mohammad Nishat Akhtar, R. Rajendran, Mohammed Danish, Elmi Abu Bakar (2026). Artificial intelligence for oil palm tree management using deep structured learning: A systematic review. Al-Qadisiyah Journal for Engineering Sciences. Scopus Indexed
Associate Professor / Dean
Associate Professor Dr. Elmi bin Abu Bakar
School of Aerospace Engineering, Universiti Sains Malaysia
Office: Room 1.26
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Phone: Ext. 5936 / 5938
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Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Research Background
Dr. Elmi bin Abu Bakar began his early engineering career working within heavy manufacturing industries, gaining expertise in tool design, problem-solving operations, and lean manufacturing workflows. His comprehensive academic profile specializes in multi-disciplinary production systems and structural electronics. His research background concentrates primarily on custom Non-destructive Evaluation and testing setups, leveraging machine vision and image-based algorithms to tackle tool & die monitoring, river basin flood mapping simulations, and international heavy metal mitigation assignments.
Current Research Topics
- Non-destructive Evaluation and Testing (Custom hardware and software system implementations)
- River basin Monitoring for active Flood Mapping and tracking applications
- Heavy Metal Mitigation protocols (International networking project basis)
- Industrial Process Improvement based on Lean Manufacturing Systems
Recent Publications
1.
2.
Ziheng Zhao, Elmi Bin Abu Bakar, Norizham Bin Abdul Razak, Mohammad Nishat Akhtar (2025). Assessment of Corrosion Image Rating Based on Transfer Learning. Arabian Journal for Science and Engineering, 50, 11803-11820. Q2 Journal
3.
MN Akhtar, AJ Shaikh, A Khan, H Awais, EA Bakar, AR Othman (2021). Smart sensing with edge computing in precision agriculture for soil assessment and heavy metal monitoring: A review. Agriculture, 11(6), 475. Q1 Journal
4.
MN Akhtar, E Ansari, SSN Alhady, E Abu Bakar (2023). Leveraging on advanced remote sensing-and artificial intelligence-based technologies to manage palm oil plantation for current global scenario: A review. Agriculture, 13(2), 504. Q1 Journal
5.
MB Salleh, NM Kamaruddin, Z Mohamed-Kassim, EA Bakar (2021). Experimental investigation on the characterization of self-starting capability of a 3-bladed Savonius hydrokinetic turbine using deflector plates. Ocean Engineering, 228, 108950. Q1 Journal
6.
MN Akhtar, JM Saleh, H Awais, EA Bakar (2020). Map-Reduce based tipping point scheduler for parallel image processing. Expert Systems with Applications, 139, 112848. Q1 Journal
7.
SNH Umar, EA Bakar, NM Kamaruddin, N Uchiyama (2018). A low cost potentiostat device for monitoring aqueous solution. MATEC Web of Conferences, 217, 04001. Scopus Indexed
8.
MB Salleh, NM Kamaruddin, Z Mohamed-Kassim, EA Bakar (2020). An experimental study on the improvement of a 2-Bladed and 3-Bladed conventional savonius rotors with a deflector for hydrokinetic application. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 67(1), 26-40. Scopus Indexed
9.
A Abdullah, EA Bakar, MZM Pauzi (2015). Monitoring of traffic using unmanned aerial vehicle in malaysia landscape perspective. Jurnal Teknologi, 76(1). Scopus Indexed
10.
Elmi Abu Bakar, Rashiqah Rashli, Abd Rahim Othman (2013). Image based methods for void detection in composite panel for Non Destructive Testing. Regional Conference in Mechanical and Aerospace Technology, Bangkok. Proceedings Paper
Education Background
PhD Eng. Electronics & Information
Toyohashi University of Technology, Japan
M. Eng. Production System
Toyohashi University of Technology, Japan
B. Eng. Mechanical
Iwate University, Japan
Dip. Eng. Mechanical
Kisarazu, Japan
Expertise Areas
Instrumentation & Control
Machine Vision (Image Measurement)
Signal Processing & Classification
Robotics (Aerial System Robotics)
Manufacturing Quality Inspection
Computer Aided Inspection
Profiles & Direct Identifiers
Google Scholar
E.A.Bakar Profile
Alternative E-mail
This email address is being protected from spambots. You need JavaScript enabled to view it.
ORCID ID
0000-0002-9104-5938