Publications
A scalarization-based dominance evolutionary algorithm for many-objective optimization
M Khan, Samer Hanoun, Michael Johnstone, Chee Lim, Douglas Creighton, Saeid Nahavandi
(2019), Vol. 474, pp. 236-252, Information sciences, Amsterdam, The Netherlands, C1
An improved scalarization-based dominance evolutionary algorithm for many-objective optimization
B Khan, S Hanoun, M Johnstone, C Lim, D Creighton, S Nahavandi
(2019), pp. 1-5, SysCon 2019 : Proceedings of the 13th Annual IEEE International Systems Conference, Orlando, Fla., E1
Multi-objective job shop scheduling using i-NSGA-III
B Khan, B Khan, S Hanoun, S Hanoun, M Johnstone, M Johnstone, C Lim, C Lim, D Creighton, D Creighton, S Nahavandi, S Nahavandi
(2018), pp. 1-5, SysCon 2018 : Proceedings of the 12th Annual IEEE International Systems Conference, Vancouver, Canada, E1
A framework for designing active pan-tilt-zoom (PTZ) camera networks for surveillance applications
S Hanoun, Z Zhang, V Le, B Khan, M Johnstone, M Fielding, A Bhatti, D Creighton, S Nahavandi
(2017), pp. 1-6, SysCon 2017 : Proceedings of the 11th Annual IEEE International Systems Conference, Montreal, Que., E1
A new decomposition-based evolutionary framework for many-objective optimization
M Khan, S Hanoun, M johnstone, C lim, D creighton, S nahavandi
(2017), SysCon 2017 : 11th Annual IEEE International Systems Conference, Montreal, Canada, E1
Cohort analysis of simulation-based medical training for decision support
J Zhang, S Hanoun, B Khan, D Creighton, S Nahavandi, K Britt, K D'Souza, J Watson, R Yanieri
(2017), pp. 2608-2612, SMC 2017 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada, E1
Complex simulation of stockyard mining operations
V Le, M Johnstone, Z Zhang, B Khan, D Creighton, S Hanoun, S Nahavandi
(2015), Vol. 95, pp. 529-537, Advances in global optimization, Cham, Switzerland, B1
Intuitive haptics interface with accurate force estimation and reflection at nanoscale
A Bhatti, B Khan, S Nahavandi, S Hanoun, D Gao
(2015), Vol. 95, pp. 507-514, WCGO 2015 : Advances in Global Optimization. Proceedings of the 3rd World Congress of Global Optimaization, Gainesville, Fla., E1
Activity and flight trajectory monitoring of mosquito colonies for butomated behaviour analysis
B Khan, J Gaburro, S Hanoun, J Duchemin, S Nahavandi, A Bhatti
(2015), pp. 548-555, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1
Optimal feature subset selection for neuron spike sorting using the genetic algorithm
B Khan, A Bhatti, M Johnstone, S Hanoun, D Creighton, S Nahavandi
(2015), Vol. 9490, pp. 364-370, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1
A multi-level approach to planning and scheduling resources for aviation training
M Johnstone, V Le, A Novak, B Khan, D Creighton, L Tracey, V Nguyen
(2015), pp. 1848-1854, MODSIM2015: Partnering with industry and the community for innovation and impact through modelling. Proceedings of the 21st International Congress on Modelling and Simulation, Gold Coast, Qld., E1
Modelling a helicopter training continuum to support system transformation
M Johnstone, V Le, B Khan, D Creighton, A Novak, V Nguyen, L Tracey
(2015), pp. 1-11, I/ITSEC 2015: Forging the Future Through Innovation. Interservice/Industry Training, Simulation, and Education Conference (NTSA), Orlando, Fla., E1
An effective heuristic for stockyard planning and machinery scheduling at a coal handling facility
S Hanoun, B Khan, M Johnstone, S Nahavandi, D Creighton
(2013), pp. 206-211, INDIN 2013 : Proceedings of the 2013 11th IEEE International Conference on Industrial Informatics, Bochum, Germany, E1
Enhancing audio-haptic enabled novel dental training platform performance
S Deshpande, S Nahavandi, J Mullins, M Khan, D Creighton
(2012), pp. 1-6, ASME & IDETC/CIE 2012 : Proceedings of the International Design Engineering Technical Conferences & Computers and Information in Engineering Conference 2012, Chicago, Ill., E1
Funded Projects at Deakin
Other Public Sector Funding
Military Condition Based Maintenance Prognostics Algorithms
Prof Saeid Nahavandi, Prof Chee Peng Lim, Dr Vu Le, A/Prof Shady Mohamed, Dr Burhan Khan
DSTO Grant - Research - Defence Science & Technology Organisation
- 2016: $166,396
AEC Electoral analysis and modelling technical expertise.
A/Prof Michael Johnstone, Prof Douglas Creighton, Prof Saeid Nahavandi, Dr Vu Le, Dr James Zhang, Dr Burhan Khan, Dr Anwar Hosen
Australian Electoral Commission
- 2024: $181,818
- 2023: $975,401
- 2022: $844,747
- 2021: $1,103,588
- 2020: $414,982
- 2019: $392,126
Supervisions
No completed student supervisions to report