I am a computer scientist studying deep learning cost reduction methods using Multi-Views Enhanced Multi-Learners (MVEML) to enable deep learning algorithms achieve better results without going deeper. Deeper architectures impose significant processing overhead making deep learning extremely expensive and impractical for low capacity devices. The objective of my research is to enable such devices to run and host deep networks with improved practicality. I bridge from one discipline to another finding pattern recognition problems failed to achieve satisfactory results. Then, I try to solve them using deep learning algorithms inspired by MVEML. I have applied this in Nautrual Language Processing for the speech disabled and Intelligent Software Testing so far achieving state-of-the-art results, and am actively looking for research partners to expand my experiments.

• PhD : Universiti Tecknologi Malaysia, Computer Science, 2011
• MSc : Azad University, Computer - Software Engineering, 2007
• BSc : Azad University, Computer Engineering, 2003
• Associate Degree in Computer Application, 2001
• Certified Software Tester (ISTQB CTFL holder)

1. Senior Lecturer at Manukau Institute of Technology, Auckland, New Zealand (current)
2. Senior Lecturer at University of Malaya, Kuala Lumpur, Malaysia
3. Postdoctoral Research Fellow at University of Malaya, Kuala Lumpur, Malaysia
4. Lecturer at Universit Teknologi Malaysia (UTM) and Islamic Azad University
5. Software Engineer
6. Software Tester

• Deep Learning
• Disabled Speech Processing
• Software Testing
• Multi-Views Enhanced Multi-Learners

Achivements