Publications
Feature Selection for Cycle Life Prediction of Fast-Charged Lithium-ion Batteries
R Mohammed, V Le, D Creighton, A Hosen
(2023), pp. 271-276, Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023, E1
M Jahirul, M Rasul, R Brown, W Senadeera, M Hosen, R Haque, S Saha, T Mahlia
(2021), Vol. 168, pp. 632-646, Renewable Energy, Amsterdam, The Netherlands, C1
NN-based Prediction Interval for Nonlinear Processes Controller
M Hosen, A Khosravi, H Kabir, M Johnstone, D Creighton, S Nahavandi, P Shi
(2021), Vol. 19, pp. 3239-3252, International Journal of Control, Automation and Systems, Berlin, Germany, C1
J Zhang, M Johnstone, V Le, B Khan, A Hosen, D Creighton, J Carney, A Wilson, M Lynch
(2021), Vol. 186, Expert Systems with Applications, C1
Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid
H Kabir, A Khorsavi, M Rahman, M Hosen, S Nahavandi
(2021), pp. 1-8, IJCNN 2021 : Proceedings of the 2021 International Joint Conference on Neural Networks, Shenzhen, China, E1
A cloud bidding framework for deadline constrained jobs
H Dipu Kabir, A Sabyasachi, A Khosravi, M Hosen, S Nahavandi, R Buyya
(2019), pp. 765-772, ICIT 2019 : Proceedings of the 2019 IEEE International Conference on Industrial Technology, Melbourne, Vic., E1
Probability density for amazon spot instance price
H Dipu Kabir, A Khosravi, M Hosen, S Nahavandi, R Buyya
(2019), pp. 887-892, ICIT 2019 : Proceedings of the IEEE International Conference on Industrial Technology, Melbourne, Victoria, E1
Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications
H Kabir, A Khosravi, M Hosen, S Nahavandi
(2018), Vol. 6, pp. 36218-36234, IEEE Access, C1
Weighted autocorrelation based prediction Interval optimization for wind power generation
H Kabir, M Hosen, A Khosravi, S Nahavandi
(2018), pp. 1-6, IJCNN 2018: Proceedings of the International Joint Conference on Neural Networks, Rio De Janeiro, Brazil, E1
Partial adversarial training for prediction interval
H Kabir, A Khosravi, M Hosen, S Nahavandi
(2018), Vol. 2018-July, pp. 1-6, IJCNN 2018 : Proceedings of the International Joint Conference on Neural Networks, Rio, Brasil, E1
Lung cancer classification using deep learned features on low population dataset
S Salaken, A Khosravi, A Khatami, S Nahavandi, M Hosen
(2017), pp. 1-5, CCECE 2017 : Proceedings of the 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering, Windsor, Canada, E1-1
Prediction interval with examples of similar pattern and prediction strength
H Kabir, M Hosen, S Nahavandi, A Khosravi
(2017), pp. 1-4, CCECE 2017 : Proceedings of the 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering, Windsor, Canada, E1-1
Prediction interval-based controller for chemical reactor
M Hosen, S Nahavandi, A Khosravi, P Shi, L Sinnott
(2017), pp. 1-4, CCECE 2017 : Proceedings of the 2017 30th Canadian Conference on Electrical and Computer Engineering, Windsor, Canada, E1-1
Adaptive neuro-fuzzy interface system (ZNFIS) controller for polymerization reactor
M Hosen, S Nahavandi, L Sinnott, A Khosravi
(2016), pp. 34-39, 21CW 2016 : Proceedings of the IEEE Conference on Norbert Wiener in the 21st Century, Melbourne, Vic., E1
Prediction interval-based ANFIS controller for nonlinear processes
M Hosen, A khosravi, S nahavandi, L Sinnott
(2016), pp. 4901-4907, IJCNN 2016 : Proceedings of the International Joint Conference on Neural Networks, Vancouver, Canada, E1
Improving the quality of prediction intervals through optimal aggregation
M Hosen, A Khosravi, S Nahavandi, D Creighton
(2015), Vol. 62, pp. 4420-4429, IEEE Transactions on industrial electronics, Piscataway, N.J, C1
Prediction interval-based neural network controller for nonlinear processes
M Hosen, A Khosravi, S Nahavandi, D Creighton, S Salaken
(2015), pp. 1-6, IJCNN 2015 : Proceedings of the International Joint Conference on Neural Networks, Killarney, Ireland, E1
Hybrid controller with the combination of FLC and neural network-based IMC for nonlinear processes
M Hosen, S Salaken, A Khosravi, S Nahavandi, D Creighton
(2015), pp. 1-10, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1
Prediction interval-based control of nonlinear systems using neural networks
M Hosen, M Hosen, A Khosravi, A Khosravi, S Nahavandi, S Nahavandi, D Creighton, D Creighton
(2015), pp. 101-110, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1
Forecasting bike sharing demand using fuzzy inference mechanism
S Salaken, M Hosen, A Khosravi, S Nahavandi
(2015), Vol. 9491, pp. 567-574, ICONIP 2015 : Proceedings of the 22nd International Conference on Neural Information Processing, Istanbul, Turkey, E1
M Hosen, M Hussain, F Mjalli, A Khosravi, D Creighton, S Nahavandi
(2014), Vol. 92, pp. 903-916, Chemical engineering research and design, London, England, C1
M Hosen, A Khosravi, D Creighton, S Nahavandi
(2014), Vol. 45, pp. 2246-2257, Journal of the Taiwan institute of chemical engineers, Amsterdam, Netherlands, C1
M Hosen, A Khosravi, S Nahavandi, D Creighton
(2014), pp. 2041-2051, WCECS 2012 : Proceedings of the 2012 World Congress on Engineering & Compuer Science, San Francisco, California, E1
Aggregation of Pi-based forecast to enhance prediction accuracy
M Hosen, A Khosravi, S Nahavandi, D Creighton
(2014), pp. 778-784, IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural Networks, Beijing, China, E1
Control of polystyrene batch reactor using fuzzy logic controller
M Hosen, A Khosravi, S Nahavandi, D Creighton
(2013), pp. 4516-4521, SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics, Manchester, England, E1
Optimization and control of polystyrene batch reactor using hybrid based model
M Hosen, M Hussain
(2012), Vol. 31, pp. 760-764, Computer aided chemical engineering, Amsterdam, The Netherlands, C1-1
Performance analysis of two advanced controllers for polystyrene polymerization in batch reactor
M Hosen, A Khosravi, S Nahavandi, D Creighton, M Hussain
(2012), pp. 729-732, WCECS 2012 : Proceedings of the World Congress on Engineering and Computer Science, San Francisco, Calif., E1
Investigation of process dynamics and control of polystyrene batch reactor using hybrid model
M Hosen, M Hussain, A Khosravi, D Creighton, S Nahavandi
(2012), pp. 765-769, WCECS 2012 : Proceedings of the World Congress on Engineering and Computer Science, San Francisco, Calif., E1
M Hosen, M Hussain, F Mjalli
(2011), Vol. 19, pp. 454-467, Control engineering practice, Amsterdam, The Netherlands, C1-1
Funded Projects at Deakin
Other Public Sector Funding
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: $107,376
- 2023: $975,401
- 2022: $844,747
- 2021: $1,103,588
- 2020: $414,982
- 2019: $392,126
Supervisions
Hussain Mohammed Dipu Kabir
Thesis entitled: Study on the Neural Network-based Direct Uncertainty Quantification
Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation