A/Prof. Houshyar Asadi

STAFF PROFILE

Position

Associate Professor

Faculty

Inst Intelligent Sys Res & Inn

Department

Inst Intelligent Sys Res & Inn

Campus

Geelong Waurn Ponds Campus

Biography

Dr Houshyar Asadi is currently an ARC DECRA fellow and a senior research fellow in Control and Motion Analysis. He received the Bachelor of Engineering degree (First Class Hons.) in electrical-control systems, and Master degree in Industrial Electronic and Control Engineering (High Distinction), and the Ph.D. degree in the research area of human perception-based washout filtering using Artificial intelligence (AI) in 2008, 2012, and 2015, respectively.  His PhD thesis won the Alfred Deakin Medal for Best Doctoral Thesis of Deakin University.  Upon completion of his PhD in 2.5 years, he joined Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University as a Research Fellow in 2015.

Dr Asadi serves as Lead Investigator in charge of researching and developing novel AI-based motion cueing algorithms (MCAs) and motion control systems for a series of Universal Motion Simulators (UMS).  The family of UMS (including core UMS, mobile UMS, and Infinity UMS) is the first and only haptically-enabled robotic-based motion simulation platform in Australia.  Dr. Asadi has made significant advancements in MCA, human perception modelling, motion control, and simulator kinematics for producing realistic driving/flying motion sensation for UMS users. He has designed and implemented a number of novel AI-based MCAs for the family of UMS in several projects.  These MCAs allow the UMS to provide the most realistic motion simulation without causing simulator (motion) sickness (which is a common issue in all simulators around the world).  The effectiveness of the MCAs has been ascertained by many successful objective and subjective evaluations. This area of research has ultimately led to the establishment of a Deakin spin-off company to commercialise the UMS.  In addition, Dr Asadi also conducts research on sensory system, human factors in virtual environments and autonomous systems.

In collaboration with colleagues, Dr Asadi has secured research funding of $13.4 million in total from ARC, industrial and governmental organisations. Most of his research projects utilise motion simulators (namely the family of UMS) for virtual prototyping and testing of vehicles as well as for improvement of road and air safety through training of users.  The research has great potential in reducing the cost, time, and materials damages, and most importantly, in minimising the risk of human injuries through virtual training and testing of vehicles.

Dr. Asadi has published more than 60 papers in high quality journals and conferences. His scholarly endeavours have won a number of prestigious awards including Discovery Early Career Researcher Award (DECRA), Avalon National Defence Innovation Award (High Commendation for Training); Australian Endeavour Fellowship; Franklin V. Taylor Memorial Finalist Award (SMC2018); IEEE SMC Best Chapter Award, Alfred Deakin Medal for Best Doctoral Thesis, International Postgraduate Research Scholarship from Australia (IPRS), Deakin Postgraduate Research Scholarship, National Research Fund AFR Scholarship, Vice-Chancellor award as a top student (Bachelor’s degree), and etc.

Dr Asadi has taken a proactive role in supervising and leading research students (including Postdocs, PhD and Intern Master Students) on MCA, AI, human factors and robotics.  He also co-chaired the IISRI Technology, Innovation and Commercialisation Committee (ITIC) and also served as IISRI Research and Publication Committee (IRAP) committee member. He currently serves as IISRI publication coordinator, in charge of analysing data related to publications, scrutinising possible plagiarism of research articles, etc.

In addition, Dr Asadi has been appointed by the Pro Vice-Chancellor (Researcher Development and Integrity) to be a committee member of early/mid-career academics (EMCAs) Research Development Committee at Deakin University.

Read more on Houshyar's profile

Research interests

  • Motion-based simulator technologies (Motion Cueing Algorithm, motion control, Kinematic and dynamic modeling of robots)
  • Artificial Intelligence
  • Human factors (Motion sickness analysis, Human Motion Perception and sensory system)
  • Control systems
  • Autonomous systems

Professional activities

  • Researcher
  • HRD supervision
  • Lecturer
  • ARC Discovery Early Career Researcher Award (DECRA) Fellowship
  • Australian Endeavour Fellowship
  • Chief Operator and Lead Investigator in Motion-based Simulator Technologies and Human Factors Analysis in virtual environments
  • IISRI publication coordinator
  • Committee member of Deakin university’s early/mid-career academics (EMCAs)
  • Treasurer & IEEE Section Liaison of IEEE SMC Victorian Chapter
  • Chair of IISRI Technology, Innovation and Commercialisation Committee
  • Member of IISRI Research and Publication Committee
  • Reviewers for high-quality journals and conferences
  • Vice Chair of the IEEE Student Branch at
    Deakin University

Awards

• Discovery Early Career Researcher Award (DECRA) 2021

• Avalon 2019 National Defence Innovation Award (High Commendation for Training);

• Australian Endeavour Fellowship, 2018;
• Franklin V. Taylor Memorial Finalist Award (SMC2018);
• IEEE SMC Best Chapter Award (2018),
• Alfred Deakin Medal for Best Doctoral Thesis 2016,
• International Postgraduate Research Scholarship from Australia (IPRS) in 2012,
• Deakin Postgraduate Research Scholarship in 2013,
• National Research Fund AFR (Fonds National de la Recherche Luxembourg) Scholarship in 2012,
• Vice-Chancellor award as a top student and standing at the first place (Bachelor degree, First Class Honours) in 2008

Publications

Filter by

2022

An optimal motion cueing algorithm using the inverse kinematic solution of the hexapod simulation platform

M Chalak Qazani, H Asadi, S Nahavandi

(2022), pp. 1-10, IEEE transactions on intelligent vehicles, Piscataway, N.J., C1

journal article

A Time-Varying Weight MPC-Based Motion Cueing Algorithm for Motion Simulation Platform

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

(2022), pp. 1-12, IEEE Transactions on Intelligent Transportation Systems, Piscataway, N.J., C1

journal article

An optimal washout filter for motion platform using neural network and fuzzy logic

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

(2022), Vol. 108, pp. 1-10, Engineering Applications of Artificial Intelligence, Amsterdam, The Netherlands, C1

journal article

Adaptive Motion Cueing Algorithm using Optimized Fuzzy Control System for Motion Simulators

H Asadi, T Bellmann, S Mohamed, C Lim, A Khosravi, S Nahavandi

(2022), pp. 1-13, IEEE Transactions on Intelligent Vehicles, Piscataway, N.J., C1

journal article
2021

A Linear Time-Varying Model Predictive Control-Based Motion Cueing Algorithm for Hexapod Simulation-Based Motion Platform

M Qazani, H Asadi, S Khoo, S Nahavandi

(2021), Vol. 51, pp. 6096-6110, IEEE Transactions on Systems, Man, and Cybernetics: Systems, C1

journal article

A motion cueing algorithm based on model predictive control using terminal conditions in urban driving scenario

Mohammad Chalak Qazani, Houshyar Asadi, Saeid Nahavandi

(2021), Vol. 15, pp. 445-453, IEEE Systems Journal, Piscataway, N.J., 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 Qazani, H Asadi, C Lim, S Mohamed, S Nahavandi

(2021), Vol. 57, pp. 3383-3392, IEEE Transactions on Aerospace and Electronic Systems, C1

journal article

A systematic review and meta-analysis on the use of tactile stimulation in vection research

L Kooijman, H Asadi, S Mohamed, S Nahavandi

(2021), Vol. 84, pp. 300-320, Attention, Perception, and Psychophysics, Berlin, Germany, 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

A Fast and Reliable Approach for Driving Style Customization in Autonomous Vehicles

Mohammadreza Chalak Qazani, Houshyar Asadi, Chee Lim, Shady Mohamed, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Navneet Bhasin

(2021), SMC 2021 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1

conference

Whale Optimization Algorithm for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm

Mohammadreza Chalak Qazani, Houshyar Asadi, Adetokunbo Arogbonl, Ghazal Rahimzadeh, Shady Mohamed, Siamak Pedrammehr, Chee Lim, Saeid Nahavandi

(2021), pp. 1042-1048, SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1

conference

A Real-Time Motion Control Tracking Mechanism for Satellite Tracking Antenna Using Serial Robot

Mohammadreza Chalak Qazani, Houshyar Asadi, Shady Mohamed, Saeid Nahavandi, Joseph Winter, Keith Rosario

(2021), pp. 1409-1055, SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1

conference

An MPC-based Motion Cueing Algorithm Using Washout Speed and Grey Wolf Optimizer

Mohammadreza Chalak Qazani, Houshyar Asadi, Shady Mohamed, Ahmad Abu Alqumsan, Ghazal Rahimzadeh, Chee Lim, Saeid Nahavandi

(2021), pp. 1627-1633, SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1

conference

A Novel Motion Control Mechanism for Satellite Tracking Antenna Using Fuzzy Logic Control of Serial Robot

Mohammadreza Chalak Qazani, houshyar Asadi, shady Mohamed, saeid Nahavandi, Joseph Winter, Keith Rosario

(2021), pp. 2787-2793, SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1

conference

Cybersickness Measurement and Evaluation During Flying a Helicopter in Different Weather Conditions in Virtual Reality

Wadhah Al-Ashwal, Houshyar Asadi, Shady Mohamed, S Abdulraqeb, Lars Kooijman, Darius Nahavandi, Ahmad Abu Alqumsan, Saeid Nahavandi

(2021), pp. 1-6, SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1

conference

The Effects of Different Body Positions on Human Physiological Responses Using Universal Motion Simulator

S Alsanwy, H Asadi, A Alqumsan, S Mohamed, D Nahavandi, S Nahavandi

(2021), pp. 1209-1214, SMC 2021 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1

conference

SpinalXNet: Transfer Learning with Modified Fully Connected Layer for X-Ray Image Classification

K Kumar, S Khanam, M Bhuiyan, M Chalak Qazani, S Mondal, H Asadi, H Kabir, A Khorsavi, S Nahavandi

(2021), pp. 1-7, RASSE 2021 - Proceedings of the 2021 IEEE International Conference on Recent Advances in Systems Science and Engineering, Shanghai, China, E1

conference
2020

A study on vibrations of hexarot-based high-G centrifugal simulators

S Pedrammehr, H Asadi, S Nahavandi

(2020), Vol. 38, pp. 299-316, Robotica, Cambridge, Eng., C1

journal article

High-fidelity hexarot simulation-based motion platform using fuzzy incremental controller and model predictive control-based motion cueing algorithm

Mohammad Chalak Qazani, Houshyar Asadi, Saeid Nahavandi

(2020), Vol. 14, pp. 5073-5083, IEEE systems journal, Piscataway, N.J., C1

journal article

A new Gantry-Tau-based mechanism using spherical wrist and model predictive control-based motion cueing algorithm

Mohammad Chalak Qazani, Houshyar Asadi, Saeid Nahavandi

(2020), Vol. 38, pp. 1359-1380, Robotica, Cambridge, 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

Optimising Control and Prediction Horizons of a Model Predictive Control-Based Motion Cueing Algorithm Using Butterfly Optimization Algorithm

M Qazani, S Jalali, H Asadi, S Nahavandi

(2020), pp. 1-8, CEC 2020 : Proceedings from the IEEE Congress on Evolutionary Computation, Online from Glasgow, Scotland, E1

conference
2019

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

(2019), IEEE Transactions on Cybernetics, Piscataway, N.J., C1

journal article

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

A knowledge discovery in motion sickness: a comprehensive literature review

A Koohestani, D Nahavandi, H Asadi, P Kebria, A Khosravi, R Alizadehsani, S Nahavandi

(2019), Vol. 7, pp. 85755-85770, IEEE access, Piscataway, N.J., C1

journal article

Control system development of a hexarot-based high-G centrifugal simulator

Siamak Pedrammehr, Mohammad Chalak Qazani, Houshyar Asadi, Saeid Nahavandi

(2019), pp. 78-83, ICIT 2019 : Proceedings of the 2019 IEEE International Conference on Industrial Technology, Melbourne, Vic., 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

Kinematic manipulability analysis of hexarot simulators

S Pedrammehr, M Chalak Qazani, H Asadi, S Nahavandi

(2019), pp. 133-138, ICIT 2019 : Proceedings of the IEEE International Conference on Industrial Technology, Melbourne, Victoria, E1

conference

Evaluating architecture impacts on deep imitation learning performance for autonomous driving

Parham Kebria, Roohallah Alizadehsani, Syed Salaken, Ibrahim Hossain, Abbas Khosravi, Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward Tunsel, Mehrdad Saif

(2019), pp. 865-870, ICIT 2019 : Proceedings of the 2019 20th IEEE International Conference on Industrial Technology, Melbourne, Vic., E1

conference

A decoupled linear model predictive control-based motion cueing algorithm for simulation-based motion platform with limitted workspace

Mohammad Chalak Qazani, Houshyar Asadi, Saeid Nahavandi

(2019), pp. 35-41, ICIT 2019 : Proceedings of the 2019 20th IEEE International Conference on Industrial Technology, Melbourne, Vic., E1

conference

The forced vibration analysis of hexarot parallel mechanisms

Siamak Pedrammehr, Houshyar Asadi, Saeid Nahavandi

(2019), pp. 199-204, 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

A model predictive control-based motion cueing algorithm with consideration of joints' limitations for hexapod motion platform

M Qazani, H Asadi, S Nahavandi

(2019), pp. 708-713, SMC 2019 : Proceeding of the 2019 IEEE International Conference on Systems, Man and Cybernetics, Bari, Italy, E1

conference

Manipulability analysis of gantry-tau parallel manipulator

S Pedrammehr, M Qazani, H Asadi, S Nahavandi

(2019), pp. 1-7, ACRA 2019 : Proceedings of the Australasian Conference on Robotics and Automation, Adelaide, S.Aust., 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

Performance analysis and dexterity monitoring of hexapod-based simulator

M Chalak Qazani, Houshyar Asadi, S Pedrammehr, Saeid Nahavandi

(2018), pp. 226-231, ICCAR 2018 : Proceedings of the 2018 4th International Conference on Control, Automation and Robotics, Auckland, N.Z., E1

conference

Evaluation of the path tracking performance of autonomous vehicles using the universal motion simulator

N Mohajer, H Asadi, S Nahavandi, C Lim

(2018), pp. 2115-2121, SMC 2018 : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1

conference
2017

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

H Asadi, S Mohamed, C Lim, S Nahavandi

(2017), pp. 1-1, IEEE transactions on systems, man, and cybernetics: systems, Piscataway, N.J., C1

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

A two-level urban traffic control for autonomous vehicles to improve network-wide performance

T Tettamanti, A Mohammadi, H Asadi, I Varga

(2017), Vol. 27, pp. 913-920, Transportation research procedia, Amsterdam, The Netherlands, C1

journal article

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

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

A swarm optimization-based Kmedoids clustering technique for extracting melanoma cancer features

A Khatami, S Mirghasemi, A Khosravi, C Lim, H Asadi, S Nahavandi

(2017), Vol. 10637, pp. 307-316, ICONIP 2017: Proceedings of the 24th International Conference on Neural Information Processing, Guangzhou, China, E1

conference
2016

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

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

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

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

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

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
2012

Fuzzy-control-based five-step Li-ion battery charger by using AC impedance technique

H Asadi, S Aghay Kaboli, A Mohammadi, M Oladazimi

(2012), Vol. 8349, Proceedings of SPIE - The International Society for Optical Engineering, Singapore, SINGAPORE, E1-1

conference

Stabilization ball and beam by fuzzy logic control strategy

H Asadi, A Mohammadi, M Oladazimi

(2012), Vol. 8349, Proceedings of SPIE - The International Society for Optical Engineering, Singapore, SINGAPORE, E1-1

conference
2011

Pole placement controller for circular flying formation satellite system in the inverse square gravitation

H Asadi, M Oladazimi, Z Asadi, E Ambarwati

(2011), pp. 197-202, ICI2011 : Proceedings of the 2011 1st International Conference on Informatics and Computational Intelligence, Bandung, Indonesia, E1-1

conference

Funded Projects at Deakin

Australian Competitive Grants

High-Fidelity Motion Simulator using Sickness-Free Motion Cueing Algorithm

A/Prof Houshyar Asadi

ARC DECRA - Discovery Early Career Researcher Award

  • 2022: $108,767
  • 2021: $158,465

Other Public Sector Funding

Advanced displays for future pilot - Phase 2

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

DSTO contract

  • 2022: $16,457
  • 2021: $142,739

Optimisation of visual display technology for elite pilots.

Dr Amanda Douglass, A/Prof Larry Abel, Miss Kate Coffey, A/Prof Shady Mohamed, A/Prof Houshyar Asadi, Dr Darius Nahavandi, A/Prof Asim Bhatti

Department of Defence

  • 2022: $79,560

Industry and Other Funding

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, A/Prof Houshyar Asadi, A/Prof Shady Mohamed, Dr Darius Nahavandi

Office of Naval Research Global

  • 2022: $67,570
  • 2021: $46,597

Other Funding Sources

A high-payload, high-fidelity haptically-enabled motion simulation facility

Prof Saeid Nahavandi, A/Prof Bijan Shirinzadeh, Prof Peng Shi, A/Prof Jingxin Zhang, Prof Chee Peng Lim, Prof Hieu Trinh, Dr Chao Chen, Dr Mehran Motamed Ektesabi, Rifai Chai, A/Prof Abbas Khosravi, A/Prof Houshyar Asadi

ARC LIEF - Linkage Infrastructure Equipment & Facilities Program, University of Adelaide, Monash University, Swinburne University of Technology

  • 2020: $610,000

Supervisions

Co-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

Associate Supervisor
2020

Kais Ibrahim Abdul-lateef Al-Abdullah

Thesis entitled: Modelling and Optimization of Robotic Bone Drilling and Milling Processes

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

2018

Siamak Pedrammehr

Thesis entitled: Dynamic modelling of hexarot parallel mechanisms for design and development

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

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