

Ayub Bokani
ResearcherPrimary Info
Full Name | Ayub Bokani |
Nickname | ayub-bokani |
Bio
Profile Type | Researcher |
Gender | Male |
Degree | Ph.D |
Short Bio | I received my PhD in Computer Science and Engineering from University of New South Wales (UNSW) for the thesis entitled “Dynamic Adaptation of HTTP-based Video Streaming Using Markov Decision Process”. I received the Australian Postgraduate Scholarship Award (APA) as well as NICTA’s Research Project Scholarship Award (NRPA) for the duration of my PhD. These allowed me to work in top ranked research groups at UNSW and NICTA (Data61-CSIRO). I also had a chance to visit the Georgia Tech Institute and CICSO in the United states as visiting scholar and collaborate in high profile research projects. After completing my PhD, I have worked as Researcher and Lecturer at multiple universities including UNSW, Victoria University, Federation University, the University of Sunshine Coast and the CQUniversity. I worked on multiple research projects mainly related to the quality optimization of video streaming on mobile networks as well as emerging technologies such as unmanned areal vehicles (UAVs) well known as drones. I have published numerous papers and articles including a top ranked journal, IEEE Transaction on Multimedia, and high ranked conferences such as INFOCOM, GLOBCOM, ACM, ICC, and etc. I worked as Discipline Leader of Mobile and Computing Apps at CQUniversity for three years and introduced multiple new courses to the CQUniversity’s curriculum. While working on research projects to build new technologies, I follow my main passion which is delivering my knowledge and skills to our young students at CQU. I teach and coordinate multiple units each term including Mobile Apps Development, Game Development, Web-based Application development, Artificial Intelligence, and etc. My current research focus is on the service provisioning opportunities and limitations of Unmanned Aerial Vehicles (UAVs) for civilian purposes, and optimal usage of UAVs as mobile communication infrastructure. Other research topics that I have interest in include Machine Learning, Internet of Things (IoT), Artificial Intelligence, Emerging Technologies and Mobile Networking protocols. |
University | Central Queensland University |
City of birth | Bokan |
Google Scholar (or other Professional Page) | |
English Proficiency Level | C2 – Upper-Advanced |
Appointments
Position/Title | Founder / Vice President |
Company/Organisation | Zeelamo |
Duration | 1-5 years |
Research Experience
Field of Study | Computer and information sciences |
Research Interests | Multimedia Streaming, UAVs, Artificial Intelligence, Machine learning.
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Publications | 2021
1. S. A. Hoseini, J. Hassan, A. Bokani, and S. Kanhere, “In-situ MIMO-WPT Recharging of UAVs Using Intelligent Flying Energy Sources”, in MDPI Drones, 2021. 2. S. A. Hoseini, J. Hassan, A. Bokani, and S. Kanhere, “Energy and Service-priority aware Trajectory Design for UAV-BSs using Double Q-Learning”, in the IEEE 18th Annual Consumer Communications & Networking Conference (CCNC 2021), 10-12 January 2021, Online. 2020 4. M. Moradi, A. Bokani and J. Hassan, “Energy-Efficient and QoS-aware UAV Communication using Reactive RF Band Allocation” in Proceedings of the International Telecommunication Networks and Applications (ITNAC), 25-27 November 2020, Melbourne, Australia. 5. S. A. Hoseini, J. Hassan, A. Bokani, and S. Kanhere, “Trajectory Optimization of Flying Energy Sources using Q-Learning to Recharge Hotspot UAVs” in the 2020 IEEE INFOCOM International Workshop on Wireless Sensor, Robot and UAV Networks (WiSARN2020) Toronto, Canada, 6-9 July 2020. 6. S. Salehi, J. Hassan, A. Bokani, S. Hoseini, S. Kanhere, A QoS-aware, “Energy-efficient Trajectory Optimization for UAV Base Stations using Q-Learning” in the ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN’2020) Sydney, Australia, 21-24 April 2020.
2019 7. S. Salehi, A. Bokani, J. Hassan, and S. Kanhere, ” An Application-Aware, Energy-Efficient Trajectory Design for Flying Base Stations” in The 14th IEEE Malaysia International Conference on Communication (MICC’2019) , Selangor, Malaysia, 2-4 December 2019. 8. Hassan, J., Bokani, A., & Kanhere, S. S. (2019, April). Recharging of Flying Base Stations using Airborne RF Energy Sources. In 2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW) (pp. 1-6). IEEE. 2018
9. A. Bokani, J. Hassan, and S. Kanhere, “Enabling Efficient and High Quality Zooming for Online Video Streaming,” in Proceedings of the International Telecommunication Networks and Applications (ITNAC), Sydney, Australia, 21-23 November 2018. 10. S. Yousefi, F. Derakhshan, and A. Bokani. “Mobile Agents for Route Planning in Internet of Things Using Markov Decision Process.” 2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE). IEEE, 12-15 August 2018. 2016 11. A. Bokani, M. Hassan, S. Kanhere, J. Yao and G. Zhong, ” Comprehensive Mobile Bandwidth Traces from Vehicular Networks,” in Proceedings of the 7th ACM Multimedia Systems Conference. ACM-MMSys, Klagenfurt, Austria, 10-13 May 2016.
A. Bokani, S. A. Hoseini, M. Hassan, and S. Kanhere, “Implementation and Evaluation of Adaptive Video Streaming based on Markov Decision Process,” in Proceedings of the IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, 23-27 May 2016. 2015 12. A. Bokani, M. Hassan, S. Kanhere, and X. Zhu, “Optimizing HTTP-Based Adaptive Streaming in Vehicular Environment using Markov Decision Process,” IEEE Trans. Multimedia, vol. 17, no. 12, pp. 2297-2309, December 2015. * IMPACT FACTOR: 3.5, the TOP ranked journal in Multimedia. 13. A. Bokani, M. Hassan, and S. Kanhere, “Empirical Evaluation of MDP-based DASH Player,” in Proceedings of the International Telecommunication Networks and Applications (ITNAC), Sydney, Australia, 18-20 November 2015 (Best Session Paper Award). 14. A. Bokani, M. Hassan, and S. Kanhere, “Predicting the Region of Interest for Dynamic Foveated Streaming,” in Proceedings of the International Telecommunication Networks and Applications (ITNAC), Sydney, Australia, 18-20 November 2015. 2014 15. A. Bokani, “Empirical Evaluation of Real-Time Video Foveation,” in Proceedings of the 2014 Workshop on Design, Quality and Deployment of Adaptive Video Streaming (ACM-CoNEXT-VideoNEXT 14), Sydney, Australia, 2-5 December 2014 (Best Demo Award). 16. A. Bokani, “Location-Based Adaptation for DASH in Vehicular Environment,” in Proceedings of the 2014 CoNEXT on StudentWorkshop ACM 2014, Sydney, Australia, 2-5 December 2014. 17. G. Zhong and A. Bokani, “A Geo-Adaptive JavaScript DASH Player,” in Proceedings of the 2014 Workshop on Design, Quality and Deployment of Adaptive Video Streaming (ACM-CoNEXT-VideoNEXT 14), Sydney, Australia, 2-5 December 2014. 18. S. A. Hoseini and A. Bokani, “Video Ferrying: A Low-Cost Video Streaming Approach for Cellular Networks,” in Proceedings of the 2014 Workshop on Design, Quality and Deployment of Adaptive Video Streaming (ACM-CoNEXTVideoNEXT 14), Sydney, Australia, 2-5 December 2014. 2013 19. A. Bokani, M. Hassan, and S. Kanhere, “HTTP-Based Adaptive Streaming for Mobile Clients using Markov Decision Process,” in Proceedings of the 20th Packet Video Workshop (PV), San Jose, USA, 12-13 December 2013. |
Awards & Honors |
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Location
Location | Epping NSW 2121, Australia |