UTP Scholars: Dr Ahmad Bukhari Aujih
Office Address
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:+60 5368 78659
Email: bukhari.aujih@utp.edu.my
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:+60 5368 78659
Email: bukhari.aujih@utp.edu.my
Note: Updated as of Quarter 1, 2026 (March)
Working Experience:
- Lecturer & AI Researcher : Universiti Teknologi PETRONAS (August 2024-Present)
- Research Scientist (Jan 2019-August 2024)
- Research Assistant : Universiti Teknologi Malaysia (2015-2016)
Certification Provider:
- N/A
Awards-National Recognition:
- N/A
Awards-International Recognition:
- N/A
Title:
Lecturer
Department:
Specialization:
- Deep Learning & Machine Learning
- Medical Image Analysis
- Image Processing Development
- Industrial Analytics
Qualifications:
- 2023, PhD in Electrical and Electronics Engineering by Universiti Teknologi PETRONAS
- 2016, Master of Engineering (MEng) in Electrical Engineering by Universiti Teknologi Malaysia
- 2012, Bachelor of Engineering (BE) in Mechatronics, Robotics, and Automation Engineering by Universiti Teknologi Malaysia
Other Information:
Short Biography:
Dr. Ahmad Bukhari bin Aujih is an accomplished academic and AI researcher at Universiti Teknologi PETRONAS (UTP), where he serves as a lecturer in the Department of Electrical and Electronic Engineering. Holding a PhD in the same field from UTP, his expertise lies in Artificial Intelligence (AI), Deep Learning, and Computer Vision, with a specialized focus on developing noise-invariant and computationally efficient neural network architectures. He is notably recognized for creating EDR-Net, a lightweight deep learning model for detecting diabetic retinopathy that earned the prestigious MyEMBS Research Excellence Award 2023. Beyond his academic contributions, Dr. Bukhari actively bridges the gap between research and industry as a member of the PETRONAS-UTP 5G Innovation Lab, where he leads image processing developments and contributes to PETRONAS analytics projects focused on construction productivity and resource optimization
Number of items: 3.
Ndukwe, S.C. and Kannan, R. and Wei, H.T. (2023) A Single-Switch Bidirectional AC Chopper-Based Electronic Load Controller for Pico Hydropower System. In: UNSPECIFIED.
Wei, H.T. and Jeoti, V. (2005) Compression and enhancement of digital mammograms with wavelet footprints. In: UNSPECIFIED.
Wei, H.T. and Jeoti, V. (2004) A wavelet footprints-based compression scheme for È©cg signals. In: UNSPECIFIED.