Profile & journey

About Me

Background, expertise, and professional journey.

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Biography

Background, research focus, and academic profile.

Postdoctoral AI researcher specializing in computer vision, natural language processing, and predictive modeling across healthcare, energy, and environmental domains. Currently developing deep learning models for real-time methane plume detection and concentration estimation from multispectral imagery as part of PETRONAS' Methane Emissions Detection and Quantification programme. Author of 25+ peer-reviewed publications with 2,100+ citations (h-index 15), spanning optimization, explainable AI, ensemble learning, object detection, image segmentation, and language modeling. Holds a PhD with distinction and 7 years taking deep learning systems from research prototype to production — data pipeline, model architecture, evaluation, and containerized deployment — alongside funded industry collaboration, graduate teaching, machine learning curriculum design, and peer review for leading AI journals.

Publications

25

Citations

2,100

h-index

15

i10-index

17

Research Interests

Key areas of expertise and research focus.

Computer Vision Medical Image Analysis Metaheuristic Optimization Time-Series Forecasting Reinforcement Learning Remote Sensing & Emissions Monitoring Natural Language Processing Generative Models Explainable AI MLOps

Skills & Expertise

Core competencies, tools, and technologies across the stack.

Programming

Python
JavaScript / Node.js
Java
C++

Frameworks

PyTorch
TensorFlow
OpenCV
YOLO
Transformers
Hugging Face
RAG
LangChain

Tools & Platforms

Docker
Git
MLOps
AWS
Azure
Linux

Databases

SQL
NoSQL

Education

Academic milestones, research training, and the foundation behind the portfolio.

Doctor of Philosophy in Information Technology

Universiti Teknologi PETRONAS

April 2022 – June 2025

Thesis: Novel Metaheuristic Optimization Algorithm

Honors: Graduated with Distinction

Master of Science in Information Technology

Universiti Teknologi PETRONAS

July 2019 – April 2021

Thesis: An Ensemble One-Dimensional CNN with Bayesian Exponential Adaptive Gradients for Sound Classification

Bachelor in Information Technology

Universiti Teknologi PETRONAS

Jan 2014 – Sep 2018

Major: Software Engineering

Note: Final-Year Project: Interactive Dashboard for AI Model Prediction, enabling real-time visualization

Work Experience

Roles, execution, and measurable contributions across previous positions.

Postdoctoral Researcher

Universiti Teknologi PETRONAS

September 2025 – Present

Key Contributions:

  • Developing Methane Emissions Detection and Quantification technology (MEDQ) for offshore, onshore flaring, and fugitive emissions monitoring.
  • Designing and training deep learning models for real-time methane plume detection and concentration estimation from multispectral imaging data.
  • Collaborating with PETRONAS engineers to integrate AI-driven monitoring into existing operational safety frameworks.

Graduate Researcher & Teaching Assistant

Universiti Teknologi PETRONAS

July 2019 – June 2025

Key Contributions:

  • Led cross-disciplinary consultancy projects applying AI solutions across multiple industries, specializing in data analytics, computer vision, and natural language processing.
  • Delivered end-to-end AI systems for PETRONAS spanning digital twin sand management, subsea corrosion prediction, and radiographic weld defect detection.
  • Designed and implemented comprehensive Machine Learning curriculum for Master's students and PETRONAS staff, resulting in 96% positive feedback ratings for technical competence and knowledge transfer.
  • Published 25+ peer-reviewed papers over the doctorate (2,100+ citations, h-index 15) while co-supervising undergraduate final-year projects in AI and computer vision.

Intern Smart Solutions

Onyx Engineering Sdn Bhd

Jan 2017 – Jan 2018

Key Contributions:

  • Engineered and deployed an end-to-end employee time tracking system that streamlined payroll processing and centralized benefits administration across all departments.
  • Developed an innovative Soil Pyramid Texture analysis tool using Python and computer vision techniques that automatically classified sand, silt, and clay compositions with 95% accuracy, accelerating geological assessment workflows.

Reviewer Activities

IEEE Access — Reviewer
Knowledge-based Systems — Reviewer
Artificial Intelligence Review — Reviewer
PLOS One — Reviewer

Languages

Arabic — Native
English — Full Professional Proficiency

Interested in Collaboration?

I'm always open to discussing research opportunities, collaborations, or consulting projects in AI, Machine Learning, and Computer Vision.

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