A/Prof. Shady Mohamed

STAFF PROFILE

Position

Associate Professor, Signals and Systems

Faculty

Inst Intelligent Sys Res & Inn

Department

Inst Intelligent Sys Res & Inn

Campus

Geelong Waurn Ponds Campus

Contact

shady.mohamed@deakin.edu.au
+61 3 522 72599

Research interests

- Digital signal processing, image processing and speech processing.

- EEG data analysis and noise removal

- Classical control theory

- Haptics technology

- Robotics control
 

Publications

Filter by

2021

Review and performance evaluation of path tracking controllers of autonomous vehicles

M Rokonuzzaman, N Mohajer, S Nahavandi, S Mohamed

(2021), Vol. 15, pp. 646-670, IET Intelligent Transport Systems, London, Eng., C1

journal article

Adaptive motion cueing algorithm based on fuzzy logic using online dexterity and direction monitoring

M Qazani, H Asadi, M Rostami, S Mohamed, C Lim, S Nahavandi

(2021), pp. 1-9, IEEE systems journal, Piscataway, N.J., C1

journal article

Prediction of motion simulator signals using time-series neural networks

M Chalak Qazani, H Asadi, C Lim, S Mohamed, S Nahavandi

(2021), pp. 1-10, IEEE transactions on aerospace and electronic systems, Piscataway, N.J., C1

journal article

Time series prediction of driving motion scenarios using fuzzy neural networks: Motion signal prediction using FNNs

M Chalak Qazani, H Asadi, M Al-Ashmori, S Mohamed, C Lim, S Nahavandi

(2021), pp. 1-6, ICM 2021 : IEEE International Conference on Mechatronics, Kashiwa, Japan, E1

conference
2020

Feels like dancing: Motion capture-driven haptic interface as an added sensory experience for dance viewing

J McCormick, M Hossny, M Fielding, J Mullins, J Vincent, M Hossny, K Vincs, S Mohamed, S Nahavandi, D Creighton, S Hutchison

(2020), Vol. 53, pp. 45-49, Leonardo, C1

journal article

Bringing objectivity to motor skill assessment in children

Natalie Lander, Darius Nahavandi, Shady Mohamed, I Essiet, Lisa Barnett

(2020), Vol. 38, pp. 1539-1549, Journal of Sports Sciences, London, Eng., C1

journal article

Prepositioning of a Land Vehicle Simulation-Based Motion Platform Using Fuzzy Logic and Neural Network

M Qazani, H Asadi, S Mohamed, S Nahavandi

(2020), Vol. 69, pp. 10446-10456, IEEE Transactions on Vehicular Technology, Piscataway, N.J., C1

journal article

Adaptive Washout Filter Based on Fuzzy Logic for a Motion Simulation Platform with Consideration of Joints' Limitations

M Chalak Qazani, H Asadi, T Bellmann, S Mohamed, C Lim, S Nahavandi

(2020), Vol. 69, pp. 12547-12558, IEEE Transactions on Vehicular Technology, Piscataway, N.J., C1

journal article

A new fuzzy logic based adaptive motion cueing algorithm using parallel simulation-based motion platform

M Qazani, H Asadi, T Bellmann, S Perdrammehr, S Mohamed, S Nahavandi

(2020), pp. 1-8, FUZZ-IEEE 2020 : Proceedings of the 2020 IEEE International Conference on Fuzzy Systems, Online from Glasgow, Scotland, E1

conference

Learning-based Model Predictive Control for Path Tracking Control of Autonomous Vehicle

M Rokonuzzaman, N Mohajer, S Nahavandi, S Mohamed

(2020), Vol. 2020-October, pp. 2913-2918, SMC 2020 : Proceedings of the IEEE Transactions on Systems, Man, and Cybernetics: Systems, Toronto, Ontario, E1

conference
2019

From car sickness to autonomous car sickness: a review

J Iskander Istafanos, M Attia, K Saleh, D Nahavandi, A Abobakr, S Mohamed, H Asadi, A Khosravi, C Lim, M Hossny

(2019), Vol. 62, pp. 716-726, Transportation research part F: traffic psychology and behaviour, Amsterdam, The Netherlands, C1

journal article

Increasing motion fidelity in driving simulators using a fuzzy-based washout filter

Houshyar Asadi, Chee Lim, S Mohamed, D Nahavandi, Saeid Nahavandi

(2019), Vol. 4, pp. 298-308, IEEE transactions on intelligent vehicles, Piscataway, N.J., C1

journal article

Discriminative clustering of high-dimensional data using generative modeling

M Abdi, C Lim, S Mohamed, S Nahavandi, E Abbasnejad, A Van Den Hengel

(2019), pp. 799-802, MWSCAS 2018 : Proceedings of the 2018 IEEE 61st International Midwest Symposium on Circuits and Systems, Windsor, Ont., E1

conference

A frequency domain classifier of steady-state visual evoked potentials using deep separable convolutional neural networks

M Attia, I Hettiarachchi, S Mohamed, M Hossny, S Nahavandi

(2019), pp. 2134-2139, SMC 2018 : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1

conference

Stabilizing model predictive control with optimized terminal sample weight for motion cueing algorithm

Arash Mohammadi, Shady Mohamed, Houshyar Asadi, Saeid Nahavandi

(2019), pp. 1363-1368, ICIT 2019 : Proceedings of the 2019 IEEE International Conference on Industrial Technology, Melbourne, Vic., E1

conference

A model predictive control-based motion cueing algorithm using an optimized nonlinear scaling for driving simulators

H Asadi, A Mohammadi, S Mohamed, M Qazani, C Lim, A Khosravi, S Nahavandi

(2019), pp. 1245-1250, IEEE SMC 2019 : Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, Bari, Italy, E1

conference

Development of gantry-tau-3R mechanism using a neuro PID controller

M Qazani, V Mohammadi, H Asadi, S Mohamed, S Nahavandi

(2019), pp. 1-8, ACRA 2019 : Proceedings of the Australasian Conference on Robotics and Automation, Adelaide, S.Aust., E1

conference

An inverse kinematic- based model predictive motion cueing algorithm for a 6-DoF gantry-tau mechanism

M Qazani, H Asadi, S Mohamed, S Nahavandi

(2019), pp. 1-9, ACRA 2019 : Proceedings of the Australasian Conference on Robotics and Automation, Adelaide, S.Aust., E1

conference
2018

Optimizing model predictive control horizons using genetic algorithm for motion cueing algorithm

A Mohammadi, H Asadi, S Mohamed, K Nelson, S Nahavandi

(2018), Vol. 92, pp. 73-81, Expert systems with applications, Amsterdam, The Netherlands, C1

journal article

A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator

H Asadi, C Lim, A Mohammadi, S Mohamed, S Nahavandi, L Shanmugam

(2018), Vol. 232, pp. 1025-1038, Proceedings of the Institution of Mechanical Engineers. Part I: journal of systems and control engineering, London, Eng., C1

journal article

Multiobjective and interactive genetic algorithms for weight tuning of a model predictive control-based motion cueing algorithm

Arash Mohammadi, Houshyar Asadi, Shady Mohamed, Kyle Nelson, Saeid Nahavandi

(2018), IEEE Transactions on Cybernetics, Piscataway, N.J., C1

journal article
2017

Towards automated quality assessment measure for EEG signals

S Mohamed, S Haggag, S Nahavandi, O Haggag

(2017), Vol. 237, pp. 281-290, Neurocomputing, Amsterdam, The Netherlands, C1-1

journal article

Semicircular canal modeling in human perception

H Asadi, S Mohamed, C Lim, S Nahavandi, E Nalivaiko

(2017), Vol. 28, pp. 537-549, Reviews in the neurosciences, Berlin, Germany, C1

journal article

Driving behaviour analysis using topological features

M Hossny, S Mohammed, S Nahavandi, K Nelson

(2017), pp. 3258-3263, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings, E1-1

conference

A particle swarm optimization-based washout filter for improving simulator motion fidelity

H Asadi, A Mohammadi, S Mohamed, C Lim, S Khatami, A Khosravi, S Nahavandi

(2017), pp. 1963-1968, SMC 2016 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary, E1

conference

Effect of acceleration and velocity on perceptual force dead-band analysis

O Nadjarbashi, Z Najdovski, S Nahavandi, S Mohammad

(2017), pp. 3008-3014, SMC 2016 : Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary, E1-1

conference

Condition monitoring of engine lubrication oil of military vehicles: a machine learning approach

V Le, C Lim, S Mohamed, S Nahavandi, L Yen, G Gallasch, S Baker, D Ludovici, N Draper, V Wickramanayake

(2017), pp. 1-7, AIAC 2017 : Proceedings of the 17th Australian International Aerospace Congress, Melbourne, Victoria, E1

conference

openGA, a C++ Genetic Algorithm library

A Mohammadi, H Asadi, S Mohamed, K Nelson, S Nahavandi

(2017), pp. 2051-2056, SMC 2017 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Banff, Alberta, E1

conference
2016

Robust optimal motion cueing algorithm based on the linear quadratic regulator method and a genetic algorithm

H Asadi, S Mohamed, C Lim, S Nahavandi

(2016), pp. 1-1, IEEE transactions on systems, man, and cybernetics: systems, Piscataway, N.J., C1

journal article

A review on otolith models in human perception

H Asadi, S Mohamed, C Lim, S Nahavandi

(2016), Vol. 309, pp. 67-76, Behavioural brain research, Amsterdam, The Netherlands, C1

journal article

MPC-based motion cueing algorithm with short prediction horizon using exponential weighting

A Mohammadi, H Asadi, S Mohamed, K Nelson, S Nahavandi

(2016), pp. 1-6, SMC 2016 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Budpest, Hungary, E1

conference

Future reference prediction in model predictive control based driving simulators

A Mohammadi, H Asadi, S Mohamed, K Nelson, S Nahavandi

(2016), ACRA 2016 : Proceedings of the ARAA Australian Conference on Robotics and Automation, Brisbane, Qld., E1

conference
2015

Locally sparsified compressive sensing in magnetic resonance imaging

S Nahavandi, F Razzaq, S Mohamed, A Bhatti, P Brotchie

(2015), pp. 195-210, Integrated systems: innovations and applications, New York, N.Y., B1

book chapter

Optimisation of nonlinear motion cueing algorithm based on genetic algorithm

H Asadi, S Mohamed, D Zadeh, S Nahavandi

(2015), Vol. 53, pp. 526-545, Vehicle system dynamics, Oxford, Eng., C1

journal article

Incorporating human perception with the motion washout filter using fuzzy logic control

H Asadi, S Mohamed, S Nahavandi

(2015), Vol. 20, pp. 3276-3284, IEEE-ASME Transactions on Mechatronics, Champaign, Ill., C1

journal article

Noise level classification for EEG using Hidden Markov Models

S Haggag, S Mohamed, A Bhatti, H Haggag, S Nahavandi

(2015), pp. 439-444, SoSE 2015 : Proceedings of the 10th IEEE International Conference on System of Systems Engineering, San Antonio, Tex., E1

conference

Prosthetic motor imaginary task classification based on EEG quality assessment features

S Haggag, S Mohamed, O Haggag, S Nahavandi

(2015), Vol. 9492, pp. 87-94, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1

conference

Human perception-based washout filtering using genetic algorithm

H Asadi, S Mohamed, K Nelson, S Nahavandi, D Zadeh

(2015), Vol. 9490, pp. 401-411, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1

conference

CISR-ODE, A C plus plus framework with ODE solver for code based system dynamics simulation

A Mohammadi, S Mohamed, S Nahavandi, K Ahnert

(2015), pp. 401-406, SMC 2015 : Big Data Analytics for Human-Centric Systems. Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics, Hong Kong, China, E1

conference

Application of extended multivariate modeling for information flow analysis of event related responses

I Hettiarachchi, S Mohamed, S Nahavandi, S Nahavandi

(2015), pp. 1845-1851, SMC 2015 : Proceedings of 2015 IEEE International Conference on Systems, Man and Cybernetics, Hong Kong, China, E1

conference

Prosthetic motor imaginary task classification using single channel of electroencephalography

S Haggag, S Mohamed, H Haggag, S Nahavandi

(2015), pp. 969-973, SMC 2015 : Big Data Analytics for Human-Centric Systems. Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics, Hong Kong, China, E1

conference

Driver behaviour prediction for motion simulators using changepoint segmentation

M Hossny, S Mohamed, S Nahavandi

(2015), pp. 457-462, SMC 2015 : Big Data Analytics for Human-Centric Systems. Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics, Hong Kong, China, E1

conference

Prosthetic motor imaginary task classification using single channel of electroencephalography

S Haggag, S Mohamed, H Haggag, S Nahavandi

(2015), pp. 969-973, SMC 2015 : Proceeedings of the IEEE International Conference on Systems, Man and Cybernetics, Kowloon, China, E1-1

conference

Application of extended multivariate modeling for information flow analysis of event related responses

I Hettiarachchi, S Mohamed, S Nahavandi, S Nahavandi

(2015), pp. 1845-1851, SMC 2015 : Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics, Kowloon, China, E1-1

conference

An optimal washout filter based on genetic algorithm compensators for improving simulator driver perception

H Asadi, S Mohamed, K Nelson, S Nahavandi, M Oladazimi

(2015), pp. 1-10, DSC 2015 : Proceedings of the Driving Simulation Conference & Exhibition, Tübingen, Germany, E1

conference
2014

Neuron's spikes noise level classification using hidden markov models

S Haggag, S Mohamed, A Bhatti, H Haggag, S Nahavandi

(2014), Vol. 8836, pp. 501-508, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1

book chapter

Sparse coding for improved signal-to-noise ratio in MRI

F Razzaq, S Mohamed, A Bhatti, S Nahavandi

(2014), Vol. 8836, pp. 258-265, Neural Information Processing, Germany, B1

book chapter

Improved robust Kalman filtering for uncertain systems with missing measurements

H Rezaei, S Mohamed, R Esfanjani, S Nahavandi

(2014), Vol. 8836, pp. 509-518, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1

book chapter

Adaptive translational cueing motion algorithm using fuzzy based tilt coordination

H Asadi, A Mohammadi, S Mohamed, S Nahavandi

(2014), Vol. 8836, pp. 474-482, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1

book chapter

Adaptive washout algorithm based fuzzy tuning for improving human perception

H Asadi, A Mohammadi, S Mohamed, D Zadeh, S Nahavandi

(2014), Vol. 8836, pp. 483-492, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1

book chapter

Adaptive-multi-reference least means squares filter

L Nyhof, I Hettiarachchi, S Mohammed, S Nahavandi

(2014), Vol. 8836, pp. 527-534, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1

book chapter

Traumatic brain-and-spine injury mechanics supported by the Crash Simulator Toolbox

V Ivancevic, S Mohamed

(2014), Vol. 2, pp. 13-31, Journal of rehabilitation robotics, Chester, Eng., C1-1

journal article

Hidden Markov model neurons classification based on Mel-frequency cepstral coefficients

S Haggag, S Mohamed, H Haggag, S Nahavandi

(2014), pp. 166-170, Proceedings of the 9th International Conference on System of Systems Engineering: The Socio-Technical Perspective, SoSE 2014, E1

conference

Neural spike representation using Cepstrum

S Haggag, S Mohamed, A Bhatti, H Haggag, S Nahavandi

(2014), pp. 97-100, SOSE 2014 : The Socio-Technical Perspective : Proceedings of the 9th International Conference on System of Systems Engineering, Adelaide, South Australia, E1

conference

A linear quadratic optimal motion cueing algorithm based on human perception

H Asadi, S Mohamed, K Nelson, S Nahavandi

(2014), pp. 1-9, ACRA 2014 : Proceedings of Australasian Conference on Robotics and Automation, Melbourne, Victoria, E1

conference
2013

Defining sub-regions in locally sparsified compressive sensing MRI

F Razzaq, S Mohamed, A Bhatti, S Nahavandi

(2013), pp. 360-367, Proceedings of the IASTED International Conference on Biomedical Engineering, BioMed 2013, E1

conference

An extended multivariate autoregressive framework for EEG-based information flow analysis of a brain network

I Hettiarachchi, S Mohamed, L Nyhof, S Nahavandi

(2013), pp. 3945-3948, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, E1

conference

Cepstrum based unsupervised spike classification

S Haggag, S Mohamed, A Bhatti, N Gu, H Zhou, S Nahavandi

(2013), pp. 3716-3720, Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, E1

conference

Locally sparsified compressive sensing for improved MR image quality

F Razzaq, S Mohamed, A Bhatti, S Nahavandi

(2013), pp. 2163-2167, Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, E1

conference

Haptic-based color representation framework

S Mohamed, H Adam, S Nahavandi

(2013), pp. 73-75, ICITA 2013 : The 8th International Conference on Information Technology and Applications, Sydney, N.S.W., E1

conference

Spike sorting using hidden markov models

H Zhou, S Mohamed, A Bhatti, C Peng Lim, N Gu, S Haggag, S Nahavandi

(2013), Vol. 8226 LNCS, pp. 553-560, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1

conference
2012

Robust finite-horizon kalman filtering for uncertain discrete-time systems

S Mohamed, S Nahavandi

(2012), Vol. 57, pp. 1548-1552, IEEE Transactions on Automatic Control, C1

journal article

A marginalised Markov Chain Monte Carlo approach for model based analysis of EEG data

I Hettiarachchi, S Mohamed, S Nahavandi

(2012), pp. 1539-1542, Proceedings - International Symposium on Biomedical Imaging, E1

conference

Non-uniform sparsity in rapid compressive sensing MRI

F Razzaq, S Mohamed, A Bhatti, S Nahavandi

(2012), pp. 2253-2258, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, E1

conference

Identification of nonlinear fMRI models using Auxiliary Particle Filter and kernel smoothing method

I Hettiarachchi, S Mohamed, S Nahavandi

(2012), pp. 4212-4216, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, E1

conference
2009

Optimal linear data fusion for systems with missing measurements

S Mohamed, S Nahavandi

(2009), Vol. 2, IFAC Proceedings Volumes (IFAC-PapersOnline), E1

conference
2008

Optimal multisensor data fusion for linear systems with missing measurements

S Korany Mohamed, S Nahavandi

(2008), 2008 IEEE International Conference on System of Systems Engineering, SoSE 2008, E1

conference

Robust filtering for uncertain discrete-time systems with uncertain noise covariance and uncertain observations

S Mohamed, S Nahavandi

(2008), pp. 667-672, IEEE International Conference on Industrial Informatics (INDIN), E1

conference

Funded Projects at Deakin

Other Public Sector Funding

Victorian Direct Manufacturing Centre Consortium Agreement

Prof Saeid Nahavandi, A/Prof Shady Mohamed

  • 2012: $100,000

Validation of high impact forces within the human biodynamics engine and upgrading generic crash simulator

Prof Saeid Nahavandi, A/Prof Shady Mohamed

  • 2013: $50,000

Intelligent Sport Sensors

Prof Saeid Nahavandi, A/Prof Shady Mohamed

  • 2016: $160,000
  • 2013: $113,742

Military Condition Based Maintenance Prognostics Algorithms

Prof Saeid Nahavandi, Prof Chee Peng Lim, Dr Vu Le, A/Prof Shady Mohamed, Dr Burhan Khan

  • 2016: $166,396

Hot Fire Training System

Prof Saeid Nahavandi, A/Prof James Mullins, Dr Michael Fielding, Dr Lei Wei, Dr Mohammed Hossny, Dr Matthew Watson, A/Prof Shady Mohamed, A/Prof Samer Hanoun, Mr Sameer Deshpande, Dr Darius Nahavandi

  • 2019: $901,171
  • 2018: $1,060,000

Advanced displays for future pilot - Phase 2

Dr Amanda Douglass, A/Prof Larry Abel, A/Prof Shady Mohamed, Dr Houshyar Asadi, Dr Darius Nahavandi

  • 2021: $115,294

Virtual firefighting training simulation with real time performance monitoring - HotFire Trainer

Prof Saeid Nahavandi, A/Prof Asim Bhatti, A/Prof Samer Hanoun, Dr Darius Nahavandi, A/Prof Shady Mohamed, Dr Matthew Watson, A/Prof Abbas Khosravi, Dr Navid Mohajer, Mr Syed Salaken

  • 2021: $100,000

Industry and Other Funding

Autonomous electric Vehicle - URP2016 -3003R

Prof Saeid Nahavandi, Dr Mohammed Hossny, A/Prof Shady Mohamed, Dr Navid Mohajer, Dr Darius Nahavandi, Mr Ahmed Abobakr, Mr Mohamed Hassan Attia, Mr Khaled Aboufarw, A/Prof Zoran Najdovski

  • 2019: $72,811
  • 2018: $64,178
  • 2017: $126,524

Disruptive 3D scanning and Printing code - AMSI internship for Arash Mohammadi

A/Prof Shady Mohamed, Mr Arash Mohammadi

  • 2018: $14,500

Examining colour usage in next generation displays when using Laser Eye Protection - maximising visual attention capacity and reducing cognitive burden.

Dr Amanda Douglass, Prof Saeid Nahavandi, Mr Ben Armitage, Dr Houshyar Asadi, A/Prof Shady Mohamed, Dr Darius Nahavandi

  • 2021: $46,597

Other Funding Sources

Ingress/Egress Ergonomic Assessment: Automating Posture Modification

Prof Saeid Nahavandi, Prof Douglas Creighton, Dr Mohammed Hossny, A/Prof Shady Mohamed, A/Prof Asim Bhatti, Dr Lei Wei, Dr Imali Hettiarachchi, A/Prof Abbas Khosravi, Mr Hussein Medhat Haggag

  • 2017: $525,600

Supervisions

Principal Supervisor
2018

Arash Mohammadi

Thesis entitled: Enhancing human motion perception in model predictive motion cueing algorithm

Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation

2015

Houshyar Asadi

Thesis entitled: Human Perception-based Washout Filtering

Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation

Associate Supervisor
2021

Mohammadreza Chalak Qazani

Thesis entitled: Modelling and simulation of a motion cueing algorithm using prediction and computational intelligence techniques

Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation

2020

Mostafa Mahmoud Mohammad Hossn Mahmoud

Thesis entitled: Driver Behaviour Analysis Using Persistent Homology

Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation

2018

Darius Nahavandi

Thesis entitled: Postural Injury Risk Assessment for Industrial Processes using Advanced Sensory Systems

Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation

2017

Seyedamin Khatami

Thesis entitled: Deep Neural Network Generalisation in Medical Application

Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation

Rihanna Khosravi

Thesis entitled: Multiobjective Optimisation of Heat Exchangers Using Evolutionary Algorithms

Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation

2016

Sherif Medhat Mohamed Ezzeldin Haggag

Thesis entitled: Signal Processing for Automated EEG Quality Assessment

Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation

2015

Luke Nyhof

Thesis entitled: Biomedical Signal Filtering for Noisy Environments

Doctor of Philosophy (Engineering), Centre for Intelligent Systems Research.

2014

Fuleah Abdul Razzaq

Thesis entitled: Non-Uniform Sparsity in MRI

Doctor of Philosophy (Information Technology), Centre for Intelligent Systems Research.

2013

Imali Hettiarachchi

Thesis entitled: Model based analysis of fMRI/EEG data

Doctor of Philosophy (Engineering), Centre for Intelligent Systems Research.