Dr Anwar Hosen

STAFF PROFILE

Position

Research Fellow, Modelling Control and Optimisation

Faculty

Inst Intelligent Sys Res & Inn

Department

Inst Intelligent Sys Res & Inn

Campus

Geelong Waurn Ponds Campus

Contact

anwar.hosen@deakin.edu.au
+61 3 522 73273

Publications

Filter by

2021

Investigation of correlation between chemical composition and properties of biodiesel using principal component analysis (PCA) and artificial neural network (ANN)

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

journal article

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

journal article

Dynamic time warp-based clustering: Application of machine learning algorithms to simulation input modelling

J Zhang, M Johnstone, V Le, B Khan, A Hosen, D Creighton, J Carney, A Wilson, M Lynch

(2021), Vol. 186, pp. 1-14, Expert Systems with Applications, Amsterdam, The Netherlands, C1

journal article

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

conference
2019

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

conference

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

conference
2018

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, Piscataway, N.J., C1

journal article

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

conference

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

conference
2017

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

conference

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

conference

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

conference
2016

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

conference

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

conference
2015

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

journal article

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

conference

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

conference

Prediction interval-based control of nonlinear systems using neural networks

M Hosen, A Khosravi, S Nahavandi, 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

conference

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

conference
2014

Performance analysis of three advanced controllers for polymerization batch reactor: an experimental investigation

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

journal article

Prediction interval-based modelling of polymerization reactor: a new modelling strategy for chemical reactors

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

journal article

Prediction interval-based neural network modelling of polystyrene polymerization reactor - a new perspective of data-based modelling

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

conference

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

conference
2013

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

conference
2012

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

journal article

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

conference
2011

Control of polystyrene batch reactors using neural network based model predictive control (NNMPC): An experimental investigation

M Hosen, M Hussain, F Mjalli

(2011), Vol. 19, pp. 454-467, Control engineering practice, Amsterdam, The Netherlands, C1-1

journal article

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

  • 2022: $490,013
  • 2021: $1,103,588
  • 2020: $414,982
  • 2019: $392,126

Supervisions

Associate Supervisor
2020

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