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Journal Articles

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2024
[j25]
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Ghazal Rahimzadeh, Pawel Paweplawiak, Shady M. K. Mohamed, Kathleen Lacy, Darius Nahavandi, Ryszard Tadeusiewicz, Houshyar Asadi:
Significance of Physiological Signal Thresholds in the Early Diagnosis of Simulator Sickness. IEEE Access 12: 141685-141704 (2024)
[j24]
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Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. 149(Part A): 111027 (2024)
[j23]
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Narges Saeedizadeh, Seyed Mohammad Jafar Jalali, Burhan Khan, Parham Mohsenzadeh Kebria, Shady M. K. Mohamed:
A new optimization approach based on neural architecture search to enhance deep U-Net for efficient road segmentation. Knowl. Based Syst. 296: 111966 (2024)
[j22]
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Hendrik Scheidel, Houshyar Asadi, Tobias Bellmann, Andreas Seefried, Shady M. K. Mohamed, Saeid Nahavandi:
A Deep Reinforcement Learning Based Motion Cueing Algorithm for Vehicle Driving Simulation. IEEE Trans. Veh. Technol. 73(7): 9696-9705 (2024)
[j21]
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Lars Kooijman, Houshyar Asadi, Camilo Gonzalez Arango, Shady M. K. Mohamed, Saeid Nahavandi:
Investigating the influence of neck muscle vibration on illusory self-motion in virtual reality. Virtual Real. 28(2): 76 (2024)
2023
[j20]
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Mohammadali Ghafarian, Matthew Watson, Navid Mohajer, Darius Nahavandi, Parham Mohsenzadeh Kebria, Shady M. K. Mohamed:
A Review of Dynamic Vehicular Motion Simulators: Systems and Algorithms. IEEE Access 11: 36331-36348 (2023)
[j19]
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Yutao Chen, Moloud Abdar, Mansour A. Karkoub, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
An Optimal Nonlinear Model Predictive Control- Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction. IEEE Trans. Intell. Transp. Syst. 24(9): 9191-9202 (2023)
[j18]
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Houshyar Asadi, Tobias Bellmann, Shady M. K. Mohamed, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Using Optimized Fuzzy Control System for Motion Simulators. IEEE Trans. Intell. Veh. 8(1): 390-403 (2023)
[j17]
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Houshyar Asadi, Tobias Bellmann, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A Novel Decoupled Model Predictive Control-Based Motion Cueing Algorithm for Driving Simulators. IEEE Trans. Veh. Technol. 72(6): 7024-7034 (2023)
2022
[j16]
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  - journals/access/NahavandiMHNSRA22
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Saeid Nahavandi, Shady M. K. Mohamed, Ibrahim Hossain, Darius Nahavandi, Syed Moshfeq Salaken, Mohammad Rokonuzzaman, Rachael Ayoub, Robin Smith:
Autonomous Convoying: A Survey on Current Research and Development. IEEE Access 10: 13663-13683 (2022)
[j15]
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
An optimal washout filter for motion platform using neural network and fuzzy logic. Eng. Appl. Artif. Intell. 108: 104564 (2022)
[j14]
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Mehrdad Rostami, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Based on Fuzzy Logic Using Online Dexterity and Direction Monitoring. IEEE Syst. J. 16(2): 1945-1953 (2022)
[j13]
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A Time-Varying Weight MPC-Based Motion Cueing Algorithm for Motion Simulation Platform. IEEE Trans. Intell. Transp. Syst. 23(8): 11767-11778 (2022)
[j12]
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Li Zhang, Farzin Tabarsinezhad, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A New Prepositioning Technique of a Motion Simulator Platform Using Nonlinear Model Predictive Control and Recurrent Neural Network. IEEE Trans. Intell. Transp. Syst. 23(12): 23268-23277 (2022)
2021
[j11]
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Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi, Shady M. K. Mohamed:
Model Predictive Control With Learned Vehicle Dynamics for Autonomous Vehicle Path Tracking. IEEE Access 9: 128233-128249 (2021)
[j10]
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi:
Prediction of Motion Simulator Signals Using Time-Series Neural Networks. IEEE Trans. Aerosp. Electron. Syst. 57(5): 3383-3392 (2021)
2020
[j9]
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi:
Prepositioning of a Land Vehicle Simulation-Based Motion Platform Using Fuzzy Logic and Neural Network. IEEE Trans. Veh. Technol. 69(10): 10446-10456 (2020)
[j8]
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Tobias Bellmann, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Adaptive Washout Filter Based on Fuzzy Logic for a Motion Simulation Platform With Consideration of Joints' Limitations. IEEE Trans. Veh. Technol. 69(11): 12547-12558 (2020)
2019
[j7]
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Arash Mohammadi, Houshyar Asadi, Shady M. K. Mohamed, Kyle Nelson, Saeid Nahavandi:
Multiobjective and Interactive Genetic Algorithms for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm. IEEE Trans. Cybern. 49(9): 3471-3481 (2019)
[j6]
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Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Darius Nahavandi, Saeid Nahavandi:
Increasing Motion Fidelity in Driving Simulators Using a Fuzzy-Based Washout Filter. IEEE Trans. Intell. Veh. 4(2): 298-308 (2019)
2018
[j5]
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Arash Mohammadi, Houshyar Asadi, Shady M. K. Mohamed, Kyle Nelson, Saeid Nahavandi:
Optimizing Model Predictive Control horizons using Genetic Algorithm for Motion Cueing Algorithm. Expert Syst. Appl. 92: 73-81 (2018)
[j4]
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Houshyar Asadi, Chee Peng Lim, Arash Mohammadi, Shady M. K. Mohamed, Saeid Nahavandi, Shanmugam Lakshmanan:
A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator. J. Syst. Control. Eng. 232(8): 1025-1038 (2018)
2017
[j3]
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Shady M. K. Mohamed, Sherif Haggag, Saeid Nahavandi, Omar Haggag:
Towards automated quality assessment measure for EEG signals. Neurocomputing 237: 281-290 (2017)
[j2]
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Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Robust Optimal Motion Cueing Algorithm Based on the Linear Quadratic Regulator Method and a Genetic Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 47(2): 238-254 (2017)
2012
[j1]
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Shady M. K. Mohamed, Saeid Nahavandi:
Robust Finite-Horizon Kalman Filtering for Uncertain Discrete-Time Systems. IEEE Trans. Autom. Control. 57(6): 1548-1552 (2012)

Conference and Workshop Papers

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2024
[c58]
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  - conf/syscon/Al-AshwalAAQMN24
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Wadhah Al-Ashwal, Houshyar Asadi, Shehab Alsanwy, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi:
Objective Assessment of Cybersickness in a Stationary Helicopter Simulator Using Pupil Diameter as a Quantitative Indicator. SysCon 2024: 1-7
[c57]
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Wadhah Al-Ashwal, Houshyar Asadi, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi, Bernhard E. Riecke:
Galvanic Skin Response and AE-LSTM for Anomaly Detection in VR-Induced Motion Sickness. SysCon 2024: 1-7
2023
[c56]
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  - conf/icecsys/RahimzadehNMPNA23
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Ghazal Rahimzadeh, Darius Nahavandi, Shady M. K. Mohamed, Pawel Plawiak, Saeid Nahavandi, Houshyar Asadi:
Artificial Intelligence-based Motion Sickness Detection: A Survey. ICECS 2023: 1-8
[c55]
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Shehab Alsanwy, Houshyar Asadi, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi:
A CNN-LSTM Based Model to Predict Trajectory of Human-Driven Vehicle. SMC 2023: 3097-3103
2022
[c54]
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Lars Kooijman, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi:
A Virtual Reality Study Investigating the Effect of Cybersickness on the Relationship Between Vection and Presence Across Environments with Varying Levels of Ecological Relevance. HSI 2022: 1-8
[c53]
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Shehab Alsanwy, Houshyar Asadi, Mohammad Reza Chalak Qazani, Mohammed Al-Ashmori, Shady M. K. Mohamed, Darius Nahavandi, Ahmad Abu Alqumsan, Sari Al-Serri, Seyed Mohammad Jalali, Saeid Nahavandi:
Prediction of Vehicle Motion Signals for Motion Simulators Using Long Short-Term Memory Networks. SMC 2022: 34-39
[c52]
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Camilo Gonzalez Arango, Houshyar Asadi, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Saeid Nahavandi:
Automatic Tuning of Adaptive Gradient Descent Based Motion Cueing Algorithm Using Particle Swarm Optimisation. SMC 2022: 85-92
[c51]
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Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Sadia Khanam, Adetokunbo Arogbonlo, Darius Nahavandi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Optimal MPC Horizons Tunning of Nonlinear MPC for Autonomous Vehicles Using Particle Swarm Optimisation. SMC 2022: 635-641
[c50]
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Lars Kooijman, Saeid Nahavandi, Houshyar Asadi, Shady M. K. Mohamed:
Does A Secondary Task Inhibit Vection in Virtual Reality? SMC 2022: 1057-1064
[c49]
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Lars Kooijman, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi:
Does the Vividness of Imagination Influence Illusory Self-Motion in Virtual Reality? SMC 2022: 1065-1071
[c48]
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Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. SMC 2022: 2237-2243
[c47]
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Sari Al-Serri, Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Adetokunbo Arogbonlo, Ahmad Abu Alqumsan, Shehab Alsanwy, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Implementation of the Grasshopper Optimisation Algorithm to Optimize Prediction and Control Horizons in Model Predictive Control-based Motion Cueing Algorithm. SMC 2022: 3317-3323
2021
[c46]
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Time Series Prediction of Driving Motion Scenarios Using Fuzzy Neural Networks: * Motion Signal Prediction Using FNNs. ICM 2021: 1-6
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Adetokunbo Arogbonlo, Ghazal Rahimzadeh, Shady M. K. Mohamed, Siamak Pedrammehr, Chee Peng Lim, Saeid Nahavandi:
Whale Optimization Algorithm for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm. SMC 2021: 1042-1048
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, Joseph Winter, Keith Rosario:
A Real-Time Motion Control Tracking Mechanism for Satellite Tracking Antenna Using Serial Robot. SMC 2021: 1049-1055
[c43]
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Luke Briese, Timothy Mark Gregory, Navid Mohajer, Matthew Watson, Shady M. K. Mohamed, Saeid Nahavandi:
Evaluation of Design Optimisation Techniques in Structural Framing. SMC 2021: 1093-1098
[c42]
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Shehab Alsanwy, Houshyar Asadi, Ahmad Abu Alqumsan, Shady M. K. Mohamed, Darius Nahavandi, Saeid Nahavandi:
The Effects of Different Body Positions on Human Physiological Responses Using Universal Motion Simulator. SMC 2021: 1209-1214
[c41]
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Mohammad Rokonuzzaman, Navid Mohajer, Shady M. K. Mohamed, Saeid Nahavandi:
A Customisable Longitudinal Controller of Autonomous Vehicle using Data-driven MPC. SMC 2021: 1367-1373
[c40]
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Ahmad Abu Alqumsan, Ghazal Rahimzadeh, Chee Peng Lim, Saeid Nahavandi:
An MPC-based Motion Cueing Algorithm Using Washout Speed and Grey Wolf Optimizer. SMC 2021: 1627-1633
[c39]
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Navneet Bhasin:
A Fast and Reliable Approach for Driving Style Customization in Autonomous Vehicles. SMC 2021: 1869-1875
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Wadhah Al-Ashwal, Houshyar Asadi, Shady M. K. Mohamed, Shehab Alsanwy, Lars Kooijman, Darius Nahavandi, Ahmad Abu Alqumsan, Saeid Nahavandi:
Cybersickness Measurement and Evaluation During Flying a Helicopter in Different Weather Conditions in Virtual Reality. SMC 2021: 2152-2157
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, Joseph Winter, Keith Rosario:
A Novel Motion Control Mechanism for Satellite Tracking Antenna Using Fuzzy Logic Control of Serial Robot. SMC 2021: 2787-2793
2020
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Mohammad Reza Chalak Qazani, Houshyar Asadi, Tobias Bellmann, Siamak Pedrammehr, Shady M. K. Mohamed, Saeid Nahavandi:
A New Fuzzy Logic Based Adaptive Motion Cueing Algorithm Using Parallel Simulation-Based Motion Platform. FUZZ-IEEE 2020: 1-8
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Mohammad Rokonuzzaman, Navid Mohajer, Saeid Nahavandi, Shady M. K. Mohamed:
Learning-based Model Predictive Control for Path Tracking Control of Autonomous Vehicle. SMC 2020: 2913-2918
2019
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Arash Mohammadi, Shady M. K. Mohamed, Houshyar Asadi, Saeid Nahavandi:
Stabilizing Model Predictive Control with Optimized Terminal Sample Weight for Motion Cueing Algorithm. ICIT 2019: 1363-1368
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Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi:
A Model Predictive Control-based Motion Cueing Algorithm using an optimized Nonlinear Scaling for Driving Simulators. SMC 2019: 1245-1250
2018
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Masoud Abdi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi, Ehsan Abbasnejad, Anton van den Hengel:
Discriminative Clustering of High-Dimensional Data Using Generative Modeling. MWSCAS 2018: 799-802
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Mohammed Hassan Attia, Imali Hettiarachchi, Shady M. K. Mohamed, Mohammed Hossny, Saeid Nahavandi:
A Frequency Domain Classifier of Steady-State Visual Evoked Potentials Using Deep Separable Convolutional Neural Networks. SMC 2018: 2134-2139
2017
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Arash Mohammadi, Houshyar Asadi, Shady M. K. Mohamed, Kyle Nelson, Saeid Nahavandi:
Openga, a C++ genetic algorithm library. SMC 2017: 2051-2056
2016
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Arash Mohammadi, Houshyar Asadi, Shady M. K. Mohamed, Kyle Nelson, Saeid Nahavandi:
MPC-based motion cueing algorithm with short prediction horizon using exponential weighting. SMC 2016: 521-526
[c28]
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Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Chee Peng Lim, Amin Khatami, Abbas Khosravi, Saeid Nahavandi:
A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity. SMC 2016: 1963-1968
[c27]
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Omid F. Nadjarbashi, Zoran Najdovski, Saeid Nahavandi, Shady M. K. Mohamed:
Effect of acceleration and velocity on perceptual force dead-band analysis. SMC 2016: 3008-3014
[c26]
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Mostafa Hossny, Shady M. K. Mohamed, Saeid Nahavandi, Kyle Nelson, Mohammed Hossny:
Driving behaviour analysis using topological features. SMC 2016: 3258-3263
2015
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Sherif Haggag, Shady M. K. Mohamed, Omar Haggag, Saeid Nahavandi:
Prosthetic Motor Imaginary Task Classification Based on EEG Quality Assessment Features. ICONIP (4) 2015: 87-94
[c24]
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Houshyar Asadi, Shady M. K. Mohamed, Kyle Nelson, Saeid Nahavandi, Delpak Rahim Zadeh:
Human Perception-Based Washout Filtering Using Genetic Algorithm. ICONIP (2) 2015: 401-411
[c23]
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Arash Mohammadi, Shady M. K. Mohamed, Saeid Nahavandi, Karsten Ahnert:
CISR-ODE, A C++ Framework with ODE Solver for Code Based System Dynamics Simulation. SMC 2015: 401-406
[c22]
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Mohammed Hossny, Saeid Nahavandi, Michael Fielding, James Mullins, Shady M. K. Mohamed, Douglas C. Creighton, John McCormick, Kim Vincs, Jordan Beth Vincent, Steph Hutchison:
Haptically-Enabled Dance Visualisation Framework for Deafblind-Folded Audience and Artists. SMC 2015: 446-450
[c21]
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Mostafa Hossny, Shady M. K. Mohamed, Saeid Nahavandi:
Driver Behaviour Prediction for Motion Simulators Using Changepoint Segmentation. SMC 2015: 457-462
[c20]
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Sherif Haggag, Shady M. K. Mohamed, Hussein Haggag, Saeid Nahavandi:
Prosthetic Motor Imaginary Task Classification Using Single Channel of Electroencephalography. SMC 2015: 969-973
[c19]
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Imali T. Hettiarachchi, Shady M. K. Mohamed, Saeid Nahavandi, Sofia Nahavandi:
Application of Extended Multivariate Modeling for Information Flow Analysis of Event Related Responses. SMC 2015: 1845-1851
[c18]
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Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi:
Noise level classification for EEG using Hidden Markov Models. SoSE 2015: 439-444
2014
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Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi:
Sparse Coding for Improved Signal-to-Noise Ratio in MRI. ICONIP (3) 2014: 258-265
[c16]
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  - conf/iconip/AsadiMMN14
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Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Saeid Nahavandi:
Adaptive Translational Cueing Motion Algorithm Using Fuzzy Based Tilt Coordination. ICONIP (3) 2014: 474-482
[c15]
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Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Delpak Rahim Zadeh, Saeid Nahavandi:
Adaptive Washout Algorithm Based Fuzzy Tuning for Improving Human Perception. ICONIP (3) 2014: 483-492
[c14]
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Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi:
Neuron's Spikes Noise Level Classification Using Hidden Markov Models. ICONIP (3) 2014: 501-508
[c13]
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Hossein Rezaei, Shady M. K. Mohamed, Reza Mahboobi Esfanjani, Saeid Nahavandi:
Improved Robust Kalman Filtering for Uncertain Systems with Missing Measurements. ICONIP (3) 2014: 509-518
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Luke Nyhof, Imali Hettiarachchi, Shady M. K. Mohamed, Saeid Nahavandi:
Adaptive-Multi-Reference Least Means Squares Filter. ICONIP (3) 2014: 527-534
[c11]
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Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi:
Neural spike representation using Cepstrum. SoSE 2014: 97-100
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Sherif Haggag, Shady M. K. Mohamed, Hussein Haggag, Saeid Nahavandi:
Hidden Markov model neurons classification based on Mel-frequency cepstral coefficients. SoSE 2014: 166-170
2013
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Imali T. Hettiarachchi, Shady M. K. Mohamed, Luke Nyhof, Saeid Nahavandi:
An extended multivariate autoregressive framework for EEG-based information flow analysis of a brain network. EMBC 2013: 3945-3948
[c8]
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Hailing Zhou, Shady M. K. Mohamed, Asim Bhatti, Chee Peng Lim, Nong Gu, Sherif Haggag, Saeid Nahavandi:
Spike Sorting Using Hidden Markov Models. ICONIP (1) 2013: 553-560
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Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi:
Locally Sparsified Compressive Sensing for Improved MR Image Quality. SMC 2013: 2163-2167
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Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Nong Gu, Hailing Zhou, Saeid Nahavandi:
Cepstrum Based Unsupervised Spike Classification. SMC 2013: 3716-3720
2012
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Imali T. Hettiarachchi, Shady M. K. Mohamed, Saeid Nahavandi:
Identification of nonlinear fMRI models using Auxiliary Particle Filter and kernel smoothing method. EMBC 2012: 4212-4216
[c4]
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Imali Hettiarachchi, Shady M. K. Mohamed, Saeid Nahavandi:
A marginalised Markov Chain Monte Carlo approach for model based analysis of EEG data. ISBI 2012: 1539-1542
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Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi:
Non-uniform sparsity in rapid compressive sensing MRI. SMC 2012: 2253-2258
2009
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Shady M. K. Mohamed, Saeid Nahavandi:
Optimal linear data fusion for systems with missing measurements. ICONS 2009: 182-185
2008
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Shady M. K. Mohamed, Saeid Nahavandi:
Optimal multisensor data fusion for linear systems with missing measurements. SoSE 2008: 1-4

Informal and Other Publications

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2023
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Hendrik Scheidel, Houshyar Asadi, Tobias Bellmann, Andreas Seefried, Shady M. K. Mohamed, Saeid Nahavandi:
A novel approach of a deep reinforcement learning based motion cueing algorithm for vehicle driving simulation. CoRR abs/2304.07600 (2023)
2022
[i2]
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Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. CoRR abs/2209.09556 (2022)
[i1]
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Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Shady M. K. Mohamed, Navid Mohajer, Mohammad Rokonuzzaman, Ibrahim Hossain:
A Comprehensive Review on Autonomous Navigation. CoRR abs/2212.12808 (2022)

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