Biography
Associate Professor Houshyar Asadi is currently an Australian Research Council (ARC) DECRA fellow and leads research in the area of Artificial Intelligence-based Motion Simulator technologies. His research focuses on robotic based-motion simulator platforms, Motion Cueing Algorithm (MCA), human performance and motion sickness analysis in Virtual Reality (VR) environments using AI.
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 for motion simulators 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.
Associate Professor Asadi has been serving as Lead Investigator in charge of researching and developing novel AI-based MCAs and motion control systems for different motion simulators including 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. Associate Professor Asadi has made significant advancements in MCA, human perception modelling, motion control, and simulator kinematics for producing realistic driving/flying motion sensation for motion simulator users including UMS users. He has designed and implemented a number of novel AI-based MCAs for the family of UMS. 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, Associate Professor Asadi also conducts research on sensory system, human factors and autonomous systems.
In collaboration with colleagues, Associate Professor Asadi has secured research funding of over $14 million in total from ARC, industrial, governmental and international 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.
Associate Professor Asadi has published more than 90 papers in high quality journals and conferences. His scholarly endeavours have won a number of prestigious awards including Discovery Early Career Researcher Award (DECRA), DAAD – VIC Research Funding Scheme – Veski, 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.
Associate Professor Asadi has taken a proactive role in supervising and leading a research team (including Postdoc and PhD Students) on MCA, AI, human performance and robotics. He also co-chaired the IISRI Technology, Innovation and Commercialisation Committee and also served as IISRI Research and Publication Committee and HDR committee member. He currently serves as IISRI publication coordinator, in charge of analysing data related to publications, Deakin Element admin, etc.
Read more on Houshyar's profileResearch interests
- Motion-based simulator technologies (Motion Cueing Algorithm, motion control, Kinematic and dynamic modeling of robots)
- Artificial Intelligence
- Human factors (Motion sickness analysis, Human performance, Human Motion Perception and sensory system) in Virtual Reality
- Control systems
- Autonomous systems
Professional activities
- Leading a team on Artificial Intelligence-based Motion Simulator technologies including postdoctoral and PhD researchers
- HRD supervision
- Lecturer
- ARC Discovery Early Career Researcher Award (DECRA) Fellowship
- Australian Endeavour Fellowship
- Victoria-Germany Bilateral Academic Exchange Program 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
- Member of IISRI HDR Committee
- Reviewers for high-quality journals and conferences
-
Vice Chair of the IEEE Student Branch at
Deakin University
Awards
• DAAD – VIC Research Funding Scheme Award 2022
• 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
Video Deepfake classification using particle swarm optimization-based evolving ensemble models
L Zhang, D Zhao, C Lim, H Asadi, H Huang, Y Yu, R Gao
(2024), Vol. 289, pp. 1-40, Knowledge-Based Systems, Amsterdam, The Netherlands, C1
Investigating the influence of neck muscle vibration on illusory self-motion in virtual reality
Lars Kooijman, Houshyar Asadi, Camilo Gonzalez Arango, Shady Mohamed, Saeid Nahavandi
(2024), Vol. 28, pp. 1-21, Virtual Reality, Berlin, Germany, C1
A Deep Reinforcement Learning Based Motion Cueing Algorithm for Vehicle Driving Simulation
H Scheidel, H Asadi, T Bellmann, A Seefried, S Mohamed, S Nahavandi
(2024), pp. 1-11, IEEE Transactions on Vehicular Technology, Piscataway, N.J., C1
Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review
M Khan, H Asadi, L Zhang, M Qazani, S Oladazimi, C Loo, C Lim, S Nahavandi
(2024), Vol. 249, pp. 1-24, Expert Systems With Applications, Amsterdam, The Netherlands, C1
M Khan, H Asadi, T Hoang, C Lim, S Nahavandi
(2024), Vol. 1963 CCIS, pp. 313-325, Communications in Computer and Information Science, E1
Artificial Intelligence-based Motion Sickness Detection: A Survey
G Rahimzadeh, D Nahavandi, S Mohamed, P Pławiak, S Nahavandi, H Asadi
(2024), ICECS 2023 : Technosapiens for Saving Humanity : Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems 2023, Istanbul, Turkey, E1
A Novel Decoupled Model Predictive Control-Based Motion Cueing Algorithm for Driving Simulators
H Asadi, T Bellmann, M Qazani, S Mohamed, C Lim, S Nahavandi
(2023), Vol. 72, pp. 7024-7034, IEEE Transactions on Vehicular Technology, C1
G Rahimzadeh, A Tay, N Travica, K Lacy, S Mohamed, D Nahavandi, P Pławiak, M Qazani, H Asadi
(2023), Vol. 15, pp. 1-29, Nutrients, Basel, Switzerland, C1-1
A virtual reality study investigating the train illusion
L Kooijman, H Asadi, S Mohamed, S Nahavandi
(2023), Vol. 10, Royal Society Open Science, England, C1
Mohammad Qazani, Houshyar Asadi, Yutao Chen, Moloud Abdar, Mansour Karkoub, Shady Mohamed, Chee Lim, Saeid Nahavandi
(2023), pp. 1-12, IEEE Transactions on Intelligent Transportation Systems, Piscataway, N.J., C1
Neural Inference Search for Multiloss Segmentation Models
Sam Slade, Li Zhang, Haoqian Huang, Houshyar Asadi, Chee Lim, Yonghong Yu, Dezong Zhao, Hanhe Lin, Rong Gao
(2023), pp. 1-15, IEEE Transactions on Neural Networks and Learning Systems, Piscataway, N.J., C1
L Kooijman, S Berti, H Asadi, S Nahavandi, B Keshavarz
(2023), Behavior Research Methods, United States, C1
Multiobjective Optimization of Roll-Forming Procedure Using NSGA-II and Type-2 Fuzzy Neural Network
Mohammad Qazani, Behrooz Bidabadi, Houshyar Asadi, Saeid Nahavandi, Farnoosh Bidabadi
(2023), pp. 1-10, IEEE Transactions on Automation Science and Engineering, Piscataway, N.J., C1
An optimised deep learning method for the prediction of dynamic viscosity of MXene-based nanofluid
M Qazani, N Aslfattahi, V Kulish, H Asadi, M Schmirler, Z Said, A Afzal, H Kabir, M Arıcı
(2023), Vol. 45, pp. 1-14, Journal of the Brazilian Society of Mechanical Sciences and Engineering, Berlin, Germany, C1
Semantic segmentation using Firefly Algorithm-based evolving ensemble deep neural networks
L Zhang, S Slade, C Lim, H Asadi, S Nahavandi, H Huang, H Ruan
(2023), Vol. 277, pp. 1-28, Knowledge-Based Systems, Amsterdam, The Netherlands, C1
Detection of Driving Distractions and Their Impacts
Arian Shajari, Houshyar Asadi, Sebastien Glaser, Adetokunbo Arogbonlo, Shady Mohamed, Lars Kooijman, Ahmad Abu Alqumsan, Saeid Nahavandi
(2023), Vol. 2023, pp. 1-17, Journal of Advanced Transportation, London, Eng., C1
A Hag, F Al-Shargie, D Handayani, H Asadi
(2023), Vol. 13, pp. 1-19, Brain Sciences, Basel, Switzerland, C1-1
Uncertainty aware neural network from similarity and sensitivity[Formula presented]
H Kabir, S Mondal, S Khanam, A Khosravi, S Rahman, M Qazani, R Alizadehsani, H Asadi, S Mohamed, S Nahavandi, U Acharya
(2023), Vol. 149, pp. 1-14, Applied Soft Computing, Amsterdam, The Netherlands, C1
Shadi Farabi Maleki, Milad Yousefi, Sayeh Afshar, Siamak Pedrammehr, Chee Lim, Ali Jafarizadeh, Houshyar Asadi
(2023), pp. 1-18, Seminars in Ophthalmology, Oxford, Eng., C1
M Qazani, H Asadi, M Zakarya, C Lim, A Liew, M Karkoub, S Nahavandi
(2023), IEEE Transactions on Intelligent Transportation Systems, C1
Arian Shajari, Houshyar Asadi, Shehab Alsanwy, Saeid Nahavandi
(2023), pp. 1-7, SMC 2023 : Proceedings of the 2023 IEEE International Conference on Systems, Man, and Cybernetics, Oahu, Hawaii, E1-1
Prediction of Vehicle Motion Signals for Motion Simulators Using a Multivariate CNN-LSTM Model
Shehab Abdulraqeb, Houshyar Asadi, Mohammadreza Chalak Qazani, Shady Mohamed, Saeid Nahavandi
(2023), pp. 1-8, DSC 2023 : Proceedings of The Driving Simulation Conference (Recent Trends in Driving Simulation Technology, Virtual Experience and Testing), Antibes, France, E1
A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles
Mohammad Qazani, Houshyar Asadi, Arian Shajari, Zoran Najdovski, Chee Lim, Saeid Nahavandi
(2023), pp. 3480-3486, SMC 2023 : Proceedings of the 2023 IEEE International Conference on Systems, Man, and Cybernetics, Honolulu, Oahu, E1
M Qazani, H Asadi, M Rostami, S Mohamed, C Lim, S Nahavandi
(2022), Vol. 16, pp. 1945-1953, IEEE Systems Journal, C1
M Chalak Qazani, H Asadi, S Nahavandi
(2022), pp. 1-10, IEEE transactions on intelligent vehicles, Piscataway, N.J., C1
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
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
A systematic review and meta-analysis on the use of tactile stimulation in vection research
L Kooijman, H Asadi, S Mohamed, S Nahavandi
(2022), Vol. 84, pp. 300-320, Attention, Perception, and Psychophysics, C1
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
Model-based control of axisymmetric hexarot parallel manipulators
S Pedrammehr, M Qazani, H Asadi, M Ettefagh, S Nahavandi
(2022), Vol. 7, pp. 1-11, Results in Control and Optimization, Amsterdam, The Netherlands, C1
M Chalak Qazani, H Asadi, L Zhang, F Tabarsinezhad, S Mohamed, C Lim, S Nahavandi
(2022), Vol. 23, pp. 23268-23277, IEEE Transactions on Intelligent Transportation Systems, C1
C Arango, H Asadi, M Qazani, S Mohamed, S Nahavandi
(2022), Vol. 2022-October, pp. 85-92, SMC 2022 : Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 2022, Prague, Czech Republic, E1
L Kooijman, H Asadi, S Mohamed, S Nahavandi
(2022), Vol. 2022-July, International Conference on Human System Interaction, HSI, E1
Does the Vividness of Imagination Influence Illusory Self-Motion in Virtual Reality?
L Kooijman, H Asadi, S Mohamed, S Nahavandi
(2022), Vol. 2022-October, pp. 1065-1071, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, E1
Does A Secondary Task Inhibit Vection in Virtual Reality?
L Kooijman, S Nahavandi, H Asadi, S Mohamed
(2022), Vol. 2022-October, pp. 1057-1064, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, E1
A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN
M Qazani, F Tabarsinezhad, H Asadi, C Lim, A Arogbonlo, S Alsanwy, S Mohamed, M Rostami, S Nahavandi
(2022), pp. 1592-1599, SMC 2022 : Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics, Prague, Czech Republic, E1
M Qazani, M Karkoub, H Asadi, C Lim, A Liew, S Nahavandi
(2022), Vol. 2022-October, pp. 2820-2826, SMC 2022 : Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 2022, Prague, Czech Republic, E1
Biogeography-based Optimisation for Weight Tuning of a Linear Time-Varying Model Predictive Control Approach for Autonomous Vehicles
M Qazani, M Qazani, H Asadi, H Asadi, M Karkoub, M Karkoub, C Lim, C Lim, A Liew, A Liew, S Nahavandi, S Nahavandi
(2022), pp. 2620-2626, IEEE SMC 2022 : Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 2022, Prague, Czech Republic, E1
M Qazani, F Tabarsinezhad, H Asadi, S Khanam, A Arogbonlo, D Nahavandi, S Mohamed, C Lim, S Nahavandi
(2022), Vol. 2022-October, pp. 635-641, SMC 2022 : Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 2022, Prague, Czech Republic, E1
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis
S Khanam, M Qazani, S Mondal, H Kabir, A Sabyasachi, H Asadi, K Kumar, F Tabarsinezhad, S Mohamed, A Khorsavi, S Nahavandi
(2022), Vol. 2022-October, pp. 2237-2243, SMC 2022 : Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Prague, Czech Republic, E1
S Al-Serri, M Qazani, H Asadi, M Al-Ashmori, A Arogbonlo, A Alqumsan, S Alsanwy, S Mohamed, C Lim, S Nahavandi
(2022), Vol. 2022-October, pp. 3317-3323, SMC 2022 : Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Prague, Czech Republic, E1
Prediction of Vehicle Motion Signals for Motion Simulators Using Long Short-Term Memory Networks
S Alsanwy, H Asadi, M Qazani, M Al-Ashmori, S Mohamed, D Nahavandi, A Alqumsan, S Al-Serri, S Jalali, S Nahavandi
(2022), Vol. 2022-October, pp. 34-39, SMC 2022 : Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 2022, Prague, Czech Republic, E1
M Qazani, H Asadi, F Tabarsinezhad, S Pedrammehr, M Rostami, C Lim, S Nahavandi
(2022), pp. 1-9, ACRA 2022 : Proceedings of the Australasian Conference on Robotics and Automation, Brisbane, Queensland, E1
Adaptive Washout Speed Model Predictive Control Motion Cueing Using Fuzzy Logic System
M Qazani, H Asadi, C Arango, M Hossain, S Nahavandi
(2022), pp. 1-10, ACRA 2022 : Proceedings of the Australasian Conference on Robotics and Automation, Brisbane, Queensland, E1
H Scheidel, H Asadi, S Mohamed, S Nahavandi, T Bellmann, A Seefried
(2022), Vol. 2022-December, pp. 1-9, ACRA 2022 : Proceedings of the Australasian Conference on Robotics and Automation, Brisbane, Queensland, E1
M Qazani, H Asadi, S Khoo, S Nahavandi
(2021), Vol. 51, pp. 6096-6110, IEEE Transactions on Systems, Man, and Cybernetics: Systems, C1
M Qazani, H Asadi, S Nahavandi
(2021), Vol. 15, pp. 445-453, IEEE Systems Journal, C1
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
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
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
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
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
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
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
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
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
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
A Study on Vibrations of Hexarot-Based High-G Centrifugal Simulators
S Pedrammehr, H Asadi, S Nahavandi
(2020), Vol. 38, pp. 299-316, Robotica, C1
M Qazani, H Asadi, S Nahavandi
(2020), Vol. 14, pp. 5073-5083, IEEE Systems Journal, C1
M Qazani, H Asadi, S Nahavandi
(2020), Vol. 38, pp. 1359-1380, Robotica, C1
M Qazani, H Asadi, S Mohamed, S Nahavandi
(2020), Vol. 69, pp. 10446-10456, IEEE Transactions on Vehicular Technology, Piscataway, N.J., C1
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
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
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
Arash Mohammadi, Houshyar Asadi, Shady Mohamed, Kyle Nelson, Saeid Nahavandi
(2019), IEEE Transactions on Cybernetics, Piscataway, N.J., C1
From car sickness to autonomous car sickness: A review
J Iskander, 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, C1
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
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, C1
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
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
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
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
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
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
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
M Qazani, M Qazani, H Asadi, H Asadi, S Nahavandi, S Nahavandi
(2019), pp. 708-713, SMC 2019 : Proceeding of the 2019 IEEE International Conference on Systems, Man and Cybernetics, Bari, Italy, E1
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
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
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
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
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
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
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
H Asadi, S Mohamed, C Lim, S Nahavandi
(2017), Vol. 47, pp. 238-254, IEEE Transactions on Systems, Man, and Cybernetics: Systems, C1
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, Germany, C1
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, Budapest Univ Technol & Econ, Fac Transportat Engn & Vehicle Engn, Budapest, HUNGARY, C1
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
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
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
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
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
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
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
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
Human perception-based washout filtering using genetic algorithm
H Asadi, S Mohamed, K Nelson, S Nahavandi, D Zadeh
(2015), Vol. 9490, pp. 401-411, 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part II, Istanbul, Turkey, E1
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
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
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
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
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
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
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
- 2023: $162,954
- 2022: $159,952
- 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, Prof Asim Bhatti
Department of Defence
- 2024: $29,430
- 2023: $90,375
- 2022: $156,780
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
- 2023: $20,940
- 2022: $86,014
- 2021: $46,597
Exploring the Potential of Virtual Reality and Game Engine - Powered Digital Avatars for Industrial Training.
Prof Stefan Greuter, Mr Simeon Taylor, A/Prof Thuong Hoang, A/Prof Houshyar Asadi
Hydac Pty Ltd
- 2024: $80,000
- 2023: $10,000
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, 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
Lars Kooijman
Thesis entitled: Vibrotactile Stimulation to Enhance Self-Motion Sensations in Virtual Reality
Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation
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
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
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