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State:
VIC
University:
Monash University
Status:
International Student
Discipline:
Engineering, IT, Mathematics and Statistics
Research Specialty:
Artificial Intelligence, Natural Language Processing, Programming

Asad’s current research interests include computer vision and machine learning for ecological monitoring applications, especially monitoring bees. He has a diverse research background, is skilled in machine learning and deep learning, and has extensive experience using Python and Matlab for problem-solving. Asad is interested in applying his research outcomes to solving real-world issues.

Application of Research to Industry

I have a very diverse research background. For my undergraduate study, I worked with a vision-based gesture recognition system. My M.Eng study was about solving an optimization problem for a bone fracture reduction robot. I then worked on applying deep learning for ultrasound image segmentation. And currently, I am working in vision-based monitoring and tracking of multiple small objects. These diverse research background has enabled me to look at any research problem from a holistic viewpoint and apply my experience to solve that. I am also very skilled in Python, Matlab, C, and C++, allowing me to apply them wherever needed. I am also a very self-motivated person.

Key Skills

  • Proficient in Python, Matlab, C, C++
  • Working experience in deep learning (GAN, Pix2Pix), machine learning, computer vision, and optimization (Particle Swarm Optimization),
  • Self motivated and very good communication skill

 

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