Publications

2024
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, and Juan M. Gorriz. 2024. “Automated detection and forecasting of COVID-19 using deep learning techniques: A review.” Neurocomputing, 577. Publisher's Version
Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, and Fernando Bello. 2024. “Machine learning meets advanced robotic manipulation.” Information Fusion, 105. Publisher's Version
Mehshan Ahmed Khan, Houshyar Asadi, Thuong Hoang, Chee Peng Lim, and Saeid Nahavandi. 2024. “Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels.” Communications in Computer and Information Science, 1963 CCIS, Pp. 313 – 325. Publisher's Version
Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan M. Gorriz, Abbas Khosravi, Saeid Nahavandi, and U. Rajendra Acharya. 2024. “Using Data Mining Techniques to Analyze Facial Expression Motion Vectors.” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14321 LNCS, Pp. 1 – 19. Publisher's Version
Mohamad Roshanzamir, Mahboobeh Jafari, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan M. Gorriz, Abbas Khosravi, Saeid Nahavandi, and U. Rajendra Acharya. 2024. “What Happens in Face During a Facial Expression? Using Data Mining Techniques to Analyze Facial Expression Motion Vectors.” Information Systems Frontiers. Publisher's Version
2023
Saeid Nahavandi. 10/2023. “Saeid Nahavandi: Academic, Innovator, Technopreneur, and Thought Leader.” IEEE Systems, Man, and Cybernetics Magazine 9 (4), Pp. 80-82. Publisher's VersionAbstract
Distinguished Prof. Saeid Nahavandi is the inaugural associate deputy vice-chancellor research and chief of defence innovation of Swinburne University of Technology, Melbourne, VIC, Australia. Nahavandi completed a Ph.D. degree in automation and control from Durham University, United Kingdom, and then served at Massey University, New Zealand for seven years. Prior to joining Swinburne, he was Alfred Deakin Professor and founding director of the Institute for Intelligent Systems Research and Innovation, as well as pro vice-chancellor at Deakin University, Waurn Ponds, VIC, Australia.
Houshyar Asadi, Tobias Bellmann, Mohammadreza Chalak Qazani, Chee Peng Lim, and Saeid Nahavandi. 1/18/2023. “A Novel Decoupled Model Predictive Control-based Motion Cueing Algorithm for Driving Simulators.” IEEE Transactions on Vehicular Technology, 72, 6, Pp. 7024 - 7034. Publisher's VersionAbstract
The motion cueing algorithm (MCA) is used to reproduce the driving/flying motion sensation of the real land or air vehicles for the users of motion simulator. Highly accurate MCAs are required for the motion simulators to create realistic sensation for the simulator users, otherwise, they might cause motion sickness and user discomfort. Model predictive control (MPC) is a popular technique in development of the high-fidelity MCAs as it is able to consider the motion sensation as well as the workspace constraints of the simulator platform. Tilt coordination in MCA is in charge of creating sustained linear acceleration feeling through tilting the platform cabin and exploiting gravitational acceleration under human motion threshold, to not allow the user to perceive this as a rotational motion. However, the existing MPC-based MCAs have not considered the rate limit to constrain the tilt motion under human threshold which …
Subhash Chand Yogi, Laxmidhar Behera, and Saeid Nahavandi. 2023. “Adaptive Intelligent Minimum Parameter Singularity Free Sliding Mode Controller Design for Quadrotor.” IEEE Transactions on Automation Science and Engineering, Pp. 1–19. Publisher's Version
Houshyar Asadi, Tobias Bellmann, Shady Mohamed, Chee Peng Lim, Abbas Khosravi, and Saeid Nahavandi. 2023. “Adaptive Motion Cueing Algorithm Using Optimized Fuzzy Control System for Motion Simulators.” IEEE Transactions on Intelligent Vehicles, 8, 1, Pp. 390 – 403. Publisher's Version
Fahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru-San Tan, and U. Rajendra Acharya. 2023. “ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease.” Computers in Biology and Medicine, 158. Publisher's Version
Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, and Saeid Nahavandi. 2023. “Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot Interaction.” IEEE Transactions on Cognitive and Developmental Systems, 15, 3, Pp. 1102 – 1122. Publisher's Version
Ghazal Rahimzadeh, Darius Nahavandi, Shady Mohamed, Paweł Pławiak, Saeid Nahavandi, and Houshyar Asadi. 2023. “Artificial Intelligence-based Motion Sickness Detection: A Survey.” In ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity. Publisher's Version
Moloud Abdar, Arash Mehrzadi, Milad Goudarzi, Farzad Masoudkabir, Leonardo Rundo, Mohammad Mamouei, Evis Sala, Abbas Khosravi, Vladimir Makarenkov, U. Rajendra Acharya, Seyedmohammad Saadatagah, Mohammadreza Naderian, Salvador García, Nizal Sarrafzadegan, and Saeid Nahavandi. 2023. “Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm.” Information Fusion, 97. Publisher's Version
Arian Shajari, Houshyar Asadi, Sebastien Glaser, Adetokunbo Arogbonlo, Shady Mohamed, Lars Kooijman, Ahmad Abu Alqumsan, and Saeid Nahavandi. 2023. “Detection of Driving Distractions and Their Impacts.” Journal of Advanced Transportation, 2023. Publisher's Version
Anuj Nandanwar, Narendra Kumar Dhar, Laxmidhar Behera, Saeid Nahavandi, and Rajesh Sinha. 2023. “A Discrete-Time Event-Driven Near-Optimal Second-Order SMC for Multirobotic System Formation Prone to Network Uncertainties.” IEEE Transactions on Neural Networks and Learning Systems, 34, 9, Pp. 6354 – 6367. Publisher's Version
Mohammad Rokonuzzaman, Navid Mohajer, and Saeid Nahavandi. 2023. “Effective adoption of vehicle models for autonomous vehicle path tracking: a switched MPC approach.” Vehicle System Dynamics, 61, 5, Pp. 1236 – 1259. Publisher's Version
Dinh Cong Huong, Saeid Nahavandi, and Hieu Trinh. 2023. “Event-Triggered State and Disturbance Estimation for Lipschitz Nonlinear Systems With Unknown Time-Varying Delays.” IEEE Transactions on Cybernetics, 53, 12, Pp. 7895 – 7905. Publisher's Version
Lu Hong, Mohammad Hossein Modirrousta, Mohammad Hossein Nasirpour, Mohammadreza Mirshekari Chargari, Fardin Mohammadi, Seyed Vahid Moravvej, Leila Rezvanishad, Mohammadreza Rezvanishad, Ivan Bakhshayeshi, Roohallah Alizadehsani, Imran Razzak, Hamid Alinejad-Rokny, and Saeid Nahavandi. 2023. “GAN-LSTM-3D: An efficient method for lung tumour 3D reconstruction enhanced by attention-based LSTM.” CAAI Transactions on Intelligence Technology. Publisher's Version
Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, and Saeid Nahavandi. 2023. “Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification.” IEEE Transactions on Industrial Informatics, 19, 1, Pp. 274 – 285. Publisher's Version
Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain, Fahime Khozeimeh, Mohammad Tayarani Darbandy, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, and Sheikh Mohammed Shariful Islam. 2023. “Identification of Clinical Features Associated with Mortality in COVID-19 Patients.” Operations Research Forum, 4, 1. Publisher's Version

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