Saeid R. Habibi

According to our database, Saeid R. Habibi authored at least 39 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Hybrid Fault Detection Method for Hairpin Windings Integrating Physics Model and Machine Learning.

Yu Zhang, Yixin Huangfu, Youssef Ziada, Saeid R. Habibi

IEEE Access, 2024

Fault Detection for Lithium-Ion Battery Using Smooth Variable Structure Filters.

Farzaneh Ebrahimi, Reza Hosseininejad, Mahmoud Al Akchar, Christian Brice Tongkoua Bangmi, Ryan Ahmed, Peyman Setoodeh, Saeid R. Habibi

IEEE Access, 2024

2023

Estimation Strategies for the Condition Monitoring of a Battery Systemin a Hybrid Electric Vehicle.

Stephen Andrew Gadsden, Mohammad Al-Shabi, Saeid Reza Habibi

CoRR, 2023

Efficient Hairpin Winding Fault Detection Using Impedance Measurements.

Yu Zhang, Yixin Huangfu, Youssef Ziada, Saeid R. Habibi

IEEE Access, 2023

State of Temperature Estimation of Li-Ion Batteries Using 3rd Order Smooth Variable Structure Filter.

Farzaneh Ebrahimi, Ryan Ahmed, Saeid R. Habibi

IEEE Access, 2023

Enhanced Multiple DBSCAN Algorithm for Traffic Detection Using mmWave Radar.

Bao Ming Ding, Yixin Huangfu, Haowen Zhang, Ching-Hung Tan, Saeid R. Habibi

Proceedings of the IEEE International Conference on Mobility, 2023

2022

System Failure Detection Using Deep Learning Models Integrating Timestamps With Nonuniform Intervals.

Yixin Huangfu, Saeid R. Habibi, Alan Wassyng

IEEE Access, 2022

2021

A Novel Method for Approximating Object Location Error in Bounding Box Detection Algorithms Using a Monocular Camera.

Ben Miethig, Yixin Huangfu, Jiahong Dong, Jimi Tjong, Martin von Mohrenschildt, Saeid R. Habibi

IEEE Trans. Veh. Technol., 2021

Interacting Multiple Model Strategy for Electric Vehicle Batteries State of Charge/Health/ Power Estimation.

Sara Rahimifard, Ryan Ahmed, Saeid R. Habibi

IEEE Access, 2021

Electrochemical Impedance Spectroscopy With Practical Rest-Times for Battery Management Applications.

Marvin Messing, Tina Shoa, Saeid R. Habibi

IEEE Access, 2021

Low Temperature, Current Dependent Battery State Estimation Using Interacting Multiple Model Strategy.

Marvin Messing, Sara Rahimifard, Tina Shoa, Saeid R. Habibi

IEEE Access, 2021

2020

A Probability Occupancy Grid Based Approach for Real-Time LiDAR Ground Segmentation.

Zhongzhen Luo, Martin von Mohrenschildt, Saeid R. Habibi

IEEE Trans. Intell. Transp. Syst., 2020

Online Multiple Maneuvering Vehicle Tracking System Based on Multi-Model Smooth Variable Structure Filter.

Zhongzhen Luo, Mina Attari, Saeid R. Habibi, Martin von Mohrenschildt

IEEE Trans. Intell. Transp. Syst., 2020

2019

A nonlinear second-order filtering strategy for state estimation of uncertain systems.

Hamed H. Afshari, S. Andrew Gadsden, Saeid R. Habibi

Signal Process., 2019

2018

Estimation theory and Neural Networks revisited: REKF and RSVSF as optimization techniques for Deep-Learning.

Mahmoud Ismail, Mina Attari, Saeid R. Habibi, Samir Ziada

Neural Networks, 2018

2017

Target Tracking Formulation of the SVSF With Data Association Techniques.

Mina Attari, Saeid R. Habibi, Stephen Andrew Gadsden

IEEE Trans. Aerosp. Electron. Syst., 2017

Gaussian filters for parameter and state estimation: A general review of theory and recent trends.

Hamed H. Afshari, S. Andrew Gadsden, Saeid R. Habibi

Signal Process., 2017

2016

An SVSF-Based Generalized Robust Strategy for Target Tracking in Clutter.

Mina Attari, Zhongzhen Luo, Saeid R. Habibi

IEEE Trans. Intell. Transp. Syst., 2016

Artificial neural network training utilizing the smooth variable structure filter estimation strategy.

Ryan M. Ahmed, Mohammed A. El Sayed, S. Andrew Gadsden, Jimi Tjong, Saeid R. Habibi

Neural Comput. Appl., 2016

2015

Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques.

Ryan M. Ahmed, Mohammed A. El Sayed, S. Andrew Gadsden, Jimi Tjong, Saeid R. Habibi

IEEE Trans. Veh. Technol., 2015

Robustness comparison of some state estimation methods with an explicit consideration of modeling uncertainties.

Hamed H. Afshari, Dhafar Al-Ani, Saeid R. Habibi

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

State estimation of a faulty actuator using the second-order smooth variable structure filter (The 2^ND-order SVSF).

Hamed H. Afshari, Dhafar Al-Ani, Saeid R. Habibi

Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2014

Kalman and smooth variable structure filters for robust estimation.

Stephen Andrew Gadsden, Saeid R. Habibi, Thia Kirubarajan

IEEE Trans. Aerosp. Electron. Syst., 2014

Combined cubature Kalman and smooth variable structure filtering: A robust nonlinear estimation strategy.

S. Andrew Gadsden, Mohammad Al-Shabi, Ienkaran Arasaratnam, Saeid R. Habibi

Signal Process., 2014

2013

Kalman filtering strategies utilizing the chattering effects of the smooth variable structure filter.

Mohammad Al-Shabi, S. Andrew Gadsden, Saeid R. Habibi

Signal Process., 2013

Nonlinear estimation of stator winding resistance in a brushless DC motor.

Wanlin Zhang, S. Andrew Gadsden, Saeid R. Habibi

Proceedings of the American Control Conference, 2013

Target tracking formulation of the SVSF as a probabilistic data association algorithm.

Mina Attari, S. Andrew Gadsden, Saeid R. Habibi

Proceedings of the American Control Conference, 2013

2012

Optimal pump operation for water distribution systems using a new multi-agent Particle Swarm Optimization technique with EPANET.

Dhafar Al-Ani, Saeid R. Habibi

Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012

Mathematical modeling and fault detection and diagnosis of an electrohydrostatic actuator.

S. Andrew Gadsden, Yu Song, Saeid R. Habibi

Proceedings of the American Control Conference, 2012

2011

Combined particle and smooth variable structure filtering for nonlinear estimation problems.

S. Andrew Gadsden, Darcy Dunne, Saeid R. Habibi, Thia Kirubarajan

Proceedings of the 14th International Conference on Information Fusion, 2011

Derivation of an optimal boundary layer width for the smooth variable structure filter.

S. Andrew Gadsden, Mohammed A. El Sayed, Saeid R. Habibi

Proceedings of the American Control Conference, 2011

Fault detection and diagnosis of an electrohydrostatic actuator using a novel interacting multiple model approach.

S. Andrew Gadsden, Kevin McCullough, Saeid R. Habibi

Proceedings of the American Control Conference, 2011

Fault detection of an engine using a neural network trained by the smooth variable structure filter.

Ryan M. Ahmed, Mohammed A. El Sayed, S. Andrew Gadsden, Saeid R. Habibi

Proceedings of the IEEE International Conference on Control Applications, 2011

2010

A novel interacting multiple model method for nonlinear target tracking.

S. Andrew Gadsden, Saeid R. Habibi, Thia Kirubarajan

Proceedings of the 13th Conference on Information Fusion, 2010

A new form of the smooth variable structure filter with a covariance derivation.

S. Andrew Gadsden, Saeid R. Habibi

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2008

Adaptive parameter robust estimation.

Dhafar S. Mohammed, Saeid R. Habibi, Danil V. Prokhorov

Proceedings of the International Joint Conference on Neural Networks, 2008

Combined variable structure and Kalman Filtering approach.

Saeid R. Habibi

Proceedings of the American Control Conference, 2008

2007

The Smooth Variable Structure Filter.

Saeid R. Habibi

Proc. IEEE, 2007

1995

Design and COntrol of a Reconfigurable Industrial Hydraulic Robot.

Saeid R. Habibi, Andrew A. Goldenberg

Proceedings of the 1995 International Conference on Robotics and Automation, 1995