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ORCIDParham M. Kebria
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- affiliation: Deakin University, Institute for Intelligent Systems Research and Innovations, Australia
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Journal Articles
- 2024
[j11]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)- 2023
- [j10]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) - 2021
- [j9]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Stable Neural Adaptive Filters for Teleoperations With Uncertain Delays. IEEE Robotics Autom. Lett. 6(4): 8663-8670 (2021) - [j8]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1408-1417 (2021) - 2020
- [j7]Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Saeid Nahavandi:
Deep imitation learning for autonomous vehicles based on convolutional neural networks. IEEE CAA J. Autom. Sinica 7(1): 82-95 (2020) - [j6]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Peng Shi, Roohallah Alizadehsani:
Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Cybern. 50(7): 3243-3253 (2020) - [j5]Parham Mohsenzadeh Kebria, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu, Fernando Bello:
Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Fuzzy Syst. 28(10): 2543-2554 (2020) - 2019
- [j4]Afsaneh Koohestani, Darius Nahavandi, Houshyar Asadi, Parham M. Kebria, Abbas Khosravi, Roohallah Alizadehsani, Saeid Nahavandi:
A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review. IEEE Access 7: 85755-85770 (2019) - [j3]Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya:
Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine 111 (2019) - [j2]Parham M. Kebria, Hamid Abdi, Mohsen Moradi Dalvand, Abbas Khosravi, Saeid Nahavandi:
Control Methods for Internet-Based Teleoperation Systems: A Review. IEEE Trans. Hum. Mach. Syst. 49(1): 32-46 (2019) - 2018
- [j1]Qing Miao, Andrew McDaid, Mingming Zhang, Parham M. Kebria, Hongsheng Li:
A three-stage trajectory generation method for robot-assisted bilateral upper limb training with subject-specific adaptation. Robotics Auton. Syst. 105: 38-46 (2018)
Conference and Workshop Papers
- 2023
- [c29]Parham M. Kebria, Saeid Nahavandi, Peter Enticott, Fernando Bello:
Haptically-Enabled Robotic Teleoperation for Transcranial Magnetic Stimulation (TeleTMS). SMC 2023: 2100-2105 - [c28]Aptin Babaei, Parham M. Kebria, Mohsen Moradi Dalvand, Saeid Nahavandi:
A CNN-Based Deep Learning Approach in Anomaly-Based Intrusion Detection Systems. SMC 2023: 3627-3632 - 2022
- [c27]Aptin Babaei, Parham M. Kebria, Saeid Nahavandi:
A survey on Automation Technologies used in Network Control and Management. HSI 2022: 1-6 - [c26]Aptin Babaei, Parham M. Kebria, Saeid Nahavandi:
5G for Low-latency Human-Robot Collaborations; Challenges and Solutions. HSI 2022: 1-5 - [c25]Anushri Rajendran, Parham M. Kebria, Navid Mohajer, Abbas Khosravi, Saeid Nahavandi:
A Home for Principal Component Analysis (PCA) as part of a Multi-Agent Safety System (MASS) for Human-Robot Collaboration (HRC) within the Industry 5.0 Enterprise Architecture (EA). SMC 2022: 2569-2574 - 2021
- [c24]Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. SMC 2021: 2767-2774 - [c23]Anushri Rajendran, Parham M. Kebria, Navid Mohajer, Abbas Khosravi, Saeid Nahavandi:
Machine Learning based Prediction of Situational Awareness in Pilots using ECG Signals. SSCI 2021: 1-6 - 2020
- [c22]Parham M. Kebria, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Fernando Bello:
Adaptive Neural Network-based Perception and Awareness of Teleoperation Systems in Human-Machine Interactions. ICHMS 2020: 1-6 - [c21]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Neural Network Control of Teleoperation Systems with Delay and Uncertainties based on Multilayer Perceptron Estimations. IJCNN 2020: 1-7 - [c20]Parham M. Kebria, Abbas Khosravi, Ibrahim Hossain, Navid Mohajer, Hussain Mohammed Dipu Kabir, Seyed Mohammad Jafar Jalali, Darius Nahavandi, Syed Moshfeq Salaken, Saeid Nahavandi, Aurelien Lagrandcourt, Navneet Bhasin:
Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study. SMC 2020: 2907-2912 - [c19]Parham M. Kebria, Darius Nahavandi, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi, Fernando Bello, Conor McGinn:
Robust Collaboration of a Haptically-Enabled Double-Slave Teleoperation System under Random Communication Delays. SMC 2020: 2919-2924 - 2019
- [c18]Parham M. Kebria, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Saeid Nahavandi:
Type-2 Fuzzy Neural Network Synchronization of Teleoperation Systems with Delay and Uncertainties. CASE 2019: 1625-1630 - [c17]Parham M. Kebria, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Saeid Nahavandi:
Adaptive Type-2 Fuzzy Control Scheme for Robust Teleoperation under Time-Varying Delay and Uncertainties. CASE 2019: 1631-1636 - [c16]Hussain Mohammed Dipu Kabir, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Probability Density Computation Neural Network for Time Series Data. CloudCom 2019: 341-346 - [c15]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Abdollah Homaifar, Mehrdad Saif:
Experimental Comparison Study on Joint and Cartesian Space Control Schemes for a Teleoperation System Under Time-Varying Delay. ICIT 2019: 108-113 - [c14]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, David Watters, Glenn Guest, Peng Shi:
Robust Adaptive Control of Internet-based Bilateral Teleoperation Systems with Time-Varying Delay and Model Uncertainties. ICIT 2019: 187-192 - [c13]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Fernando Bello, Suren Krishnan:
Robust Adaptive Synchronisation of a Single-Master Multi-Slave Teleoperation System over Delayed Communication. ICIT 2019: 193-198 - [c12]Seyed Mohammad Jafar Jalali, Abbas Khosravi, Roohallah Alizadehsani, Syed Moshfeq Salaken, Parham Mohsenzadeh Kebria, Rishi Puri, Saeid Nahavandi:
Parsimonious Evolutionary-based Model Development for Detecting Artery Disease. ICIT 2019: 800-805 - [c11]Afsaneh Koohestani, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Drivers Awareness Evaluation using Physiological Measurement in a Driving Simulator. ICIT 2019: 859-864 - [c10]Parham M. Kebria, Roohallah Alizadehsani, Syed Moshfeq Salaken, Ibrahim Hossain, Abbas Khosravi, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward W. Tunstel, Mehrdad Saif:
Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. ICIT 2019: 865-870 - [c9]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Parham M. Kebria, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification. ICONIP (1) 2019: 596-607 - [c8]Seyed Mohammad Jafar Jalali, Parham M. Kebria, Abbas Khosravi, Khaled Saleh, Darius Nahavandi, Saeid Nahavandi:
Optimal Autonomous Driving Through Deep Imitation Learning and Neuroevolution. SMC 2019: 1215-1220 - [c7]Seyed Mohammad Jafar Jalali, Abbas Khosravi, Parham M. Kebria, Rachid Hedjam, Saeid Nahavandi:
Autonomous Robot Navigation System Using the Evolutionary Multi-Verse optimizer Algorithm. SMC 2019: 1221-1226 - [c6]Amin Khatami, Parham M. Kebria, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Asef Nazari, Marjan Shamszadeh, Thanh Nguyen, Saeid Nahavandi:
A GA-Based Pruning Fully Connected Network for Tuned Connections in Deep Networks. SMC 2019: 3492-3497 - 2018
- [c5]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Zoran Najdovski, Stephen John Hilton:
Neural Network Adaptive Control of Teleoperation Systems with Uncertainties and Time-Varying Delay. CASE 2018: 252-257 - [c4]Afsaneh Koohestani, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Drivers Performance Evaluation using Physiological Measurement in a Driving Simulator. DICTA 2018: 1-6 - [c3]Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani, Saeid Nahavandi:
Deep Imitation Learning: The Impact of Depth on Policy Performance. ICONIP (1) 2018: 172-181 - 2016
- [c2]Parham M. Kebria, Hamid Abdi, Saeid Nahavandi:
Development and evaluation of a symbolic modelling tool for serial manipulators with any number of degrees of freedom. SMC 2016: 4223-4228 - [c1]Parham M. Kebria, Saba Al-Wais, Hamid Abdi, Saeid Nahavandi:
Kinematic and dynamic modelling of UR5 manipulator. SMC 2016: 4229-4234
Informal and Other Publications
- 2023
- [i6]Maryam Zare, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges. CoRR abs/2309.02473 (2023) - [i5]Haoxu Zhang, Parham M. Kebria, Shadi Mohamed, Samson Shenglong Yu, Saeid Nahavandi:
A Review on Robot Manipulation Methods in Human-Robot Interactions. CoRR abs/2309.04687 (2023) - [i4]Aptin Babaei, Parham M. Kebria, Mohsen Moradi Dalvand, Saeid Nahavandi:
A Review of Machine Learning-based Security in Cloud Computing. CoRR abs/2309.04911 (2023) - [i3]Maryam Zare, Parham M. Kebria, Abbas Khosravi:
Leveraging Optimal Transport for Enhanced Offline Reinforcement Learning in Surgical Robotic Environments. CoRR abs/2310.08841 (2023) - 2021
- [i2]Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. CoRR abs/2110.07097 (2021) - 2020
- [i1]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis. CoRR abs/2007.14846 (2020)
Coauthor Index
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last updated on 2024-07-20 21:17 CEST by the dblp team
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