Portrait of Dr. Ayub Bokani

Dr. Ayub Bokani

PhD (UNSW)

Lecturer-ICT

School of Engineering and Technology

Appleton Institute

Jump to…

About Me

I am a Lecturer and Research Scientist at Central Queensland University (CQU), Sydney, Australia. My research applies AI and machine learning to biomedical and health data, bioinformatics, and UAV systems, alongside my ongoing work in video streaming and 360-degree video quality optimization. I received my Ph.D. in Computer Science and Engineering from the University of New South Wales (UNSW). I initiated and now lead CML-NET's Biomedical Research Cluster and its Bioinformatics and Health Data stream, coordinating research across Australia, Japan, and the United States. My work has earned six Best Paper and Best Presentation awards at international IEEE, ACM, and other conferences, and my teaching was recognised with CQU's 2021 Vice-Chancellor's Student Voice Award. I have served as a Discipline Leader, and I contribute to the wider community as an IEEE member, reviewer, and conference area chair.

General

Background

Software Engineering, Artificial Intelligence, and Bioinformatics

Universities Studied At

University of New South Wales (UNSW)
 

Universities Worked At

Central Queensland University (CQU)
University of New South Wales (UNSW)

Awards

  1. Best Presentation Award, CVIPPR 2025, June 2025
  2. Best Paper Award, IEEE-MICC 2019, Selangor, Malaysia, 2 to 4 December 2019
  3. Highly Commended Paper Award, IEEE-ITNAC 2018, Sydney, Australia, 22 to 24 November 2018
  4. Best Paper Award, 14th APRU Doctoral Students Conference, Hangzhou, China, 23 to 27 November 2015
  5. Best Paper Award, IEEE-ITNAC 2015, Sydney, Australia
  6. Best Demo/Poster Presentation Award, ACM-CoNEXT 2014
  7. CQU Vice-Chancellor's Student Voice Award for On-Campus Educator of the Year, December 2021

Media Citations

https://www.cqu.edu.au/cquninews/stories/general-category/2019/drones-could-be-recharged-without-disrupting-their-mission-flight-path

https://www.itnews.com.au/news/mid-air-wireless-charging-could-keep-drones-aloft-indefinitely-532697

Previous teaching

  • University of New South Wales
  • Victoria University
  • Federation University
  • The University of Sunshine Coast
  • Central Queensland University

Professional Experience

  • Reviewer for multiple IEEE journals and conferences.
  • Principal supervisor of a growing research higher degree group.
  • Lead of CML-NET's Biomedical Research Cluster.
  • Developed a video streaming player and a real-time foveated video streaming mechanism.

Professional Memberships

Member, Institute of Electrical and Electronics Engineers (IEEE)

Responsibilities

  • Accredited to supervise at the level of Principal Supervisor
  • Lead of CML-NET's Biomedical Research Cluster and its Bioinformatics and Health Data stream
  • Chief Investigator on the BRC's inaugural internal research grant

Professional Interests

  • AI and machine learning for biomedical and health data
  • Bioinformatics and mutation-signature analysis
  • UAV systems for precision agriculture
  • Video streaming and 360-degree video quality optimization.

Key Achievements

  • Initiated and now lead CML-NET's Biomedical Research Cluster (four streams).
  • Chief Investigator on the Biomedical Research Cluster's inaugural research grant.
  • Lead the algorithm and software development behind MotiXplore, a tool for detecting mutation signatures in HIV, SIV, and SARS-CoV-2, with outputs in Nature Communications and Viruses.
  • Six Best Paper and Best Presentation awards at international IEEE and ACM venues.
  • CQU Vice-Chancellor's Student Voice Award, 2021.

Computer Software

  • MotiXplore, a high-speed tool for detecting mutation signatures in viral and cancer genomes.
  • LSTM-H, a hybrid deep-learning model for livestock-movement prediction.
  • Video streaming player and real-time foveated video streaming mechanism.

Recent Research Projects

No research projects to display.

Research Supervision

Accreditation

I am currently accredited for supervision in the following:

  • 0801 Artificial Intelligence and Image Processing
  • 0803 Computer Software
  • 1005 Communications Technologies

Current Capacity

I am currently available to supervise more research candidates

Current Supervision

Master of Research
A Secure, Privacy-Preserving Framework for an Adaptive E-learning Platform with AI-powered Personalised Learning Analytics.
Principal Supervisor
Master of Research
Smart Livestock Movement Prediction for Trajectory Optimisation of Health Monitoring UAVs
Principal Supervisor
Master of Research
A Digital Technology Adoption Framework to Improve Retail-to-Charity Surplus Food Redistribution in the Australian Retail Sector
Associate Supervisor
Master of Research
Course Recommendation System Based on Reinforcement Learning and Predictive Analytics for Personalized Student Learning Pathways.
Principal Supervisor
Doctor of Philosophy (Industry)
Computational Dissection of Mutational Processes in Cancer Genomes Using Signal Processing and Graph-based Approaches
Not Specified
Doctor of Philosophy
The use of artificial intelligence to enhance user satisfaction in cloud-based payment systems in Australia
Associate Supervisor

Research Interests

Biological Sciences

Bioinformatics and computational biology - Genomics and transcriptomics

Information And Computing Sciences

Machine learning - Deep learning

Information And Computing Sciences

Machine learning - Reinforcement learning

Information And Computing Sciences

Machine learning - Video processing

Publications

No publications to display.

Teaching

Higher Education

No information to display

Vocational Education and Training

No information to display

Links

Gogle Scholar
Gogle Scholar page
LinkedIn
LinkedIn page