selected scholarly activity
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conferences
- A Camera-LiDAR Fusion Framework for Traffic Monitoring. 2024 IEEE Transportation Electrification Conference and Expo (ITEC). 1-6. 2024
- A New Attention-based Method For Estimating Li-ion Battery State-of-Charge. 2024 IEEE Transportation Electrification Conference and Expo (ITEC). 1-5. 2024
- A Novel AI-Powered Technique for Ontario License Plate Recognition. 2024 IEEE Transportation Electrification Conference and Expo (ITEC). 1-6. 2024
- AI-Powered Video Monitoring: Assessing the NVIDIA Jetson Orin Devices for Edge Computing Applications. 2024 IEEE Transportation Electrification Conference and Expo (ITEC). 1-6. 2024
- An experimental study of the robustness of electrochemical impedance spectroscopy measurements within consecutive cycles. 2024 IEEE Transportation Electrification Conference and Expo (ITEC). 1-5. 2024
- Electric Vehicle's Range and State of Charge Estimations using AutoML. 2023 IEEE Transportation Electrification Conference & Expo (ITEC). 2023
- Investigating the Applicability of Electrochemical Impedance Spectroscopy for Parallel-Connected Lithium-ion Battery Modules. 2023 IEEE Transportation Electrification Conference & Expo (ITEC). 2023
- Comparing Traditional and Machine Learning Models for Battery SOC Calculation. 2022 IEEE Transportation Electrification Conference & Expo (ITEC). 125-130. 2022
- State of Charge Estimation for EV Batteries Using Support Vector Regression. 2022 IEEE Transportation Electrification Conference & Expo (ITEC). 964-969. 2022
- The Effects of Test Profile on Lithium-ion Battery Equivalent-Circuit Model Parameterization Accuracy. 2022 IEEE Transportation Electrification Conference & Expo (ITEC). 119-124. 2022
- A New Optimization Algorithm for Parameters Identification of Electric Vehicles’ Battery. IEEE Power and Energy Society General Meeting. 1-5. 2020
- Battery SoC Estimation from EIS using Neural Nets. 2020 IEEE Transportation Electrification Conference & Expo (ITEC). 588-593. 2020
- Temperature Dependent State of Charge Estimation of Lithium-ion Batteries Using Long Short-Term Memory Network and Kalman Filter. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. 4335-4340. 2019
- Offline Parameter Identification and SOC Estimation for New and Aged Electric Vehicles Batteries. 2019 IEEE Transportation Electrification Conference and Expo (ITEC). 2019
- Hybrid Energy Storage System State-Of-Charge Estimation Using Artificial Neural Network For Micro-Hybrid Applications. 2018 IEEE Transportation Electrification Conference and Expo (ITEC). 868-873. 2018
- Simultaneous State and Parameter Estimation of Li-Ion Battery With One State Hysteresis Model Using Augmented Unscented Kalman Filter. 2018 IEEE Transportation Electrification Conference and Expo (ITEC). 606-610. 2018
- Simultaneous State and Parameter Estimation of Li-Ion Battery with One State Hysteresis Model using Augmented Unscented Kalman Filter. 2018 IEEE TRANSPORTATION AND ELECTRIFICATION CONFERENCE AND EXPO (ITEC). 1065-1070. 2018
- Battery state of charge estimation using an Artificial Neural Network. 2017 IEEE Transportation Electrification Conference and Expo (ITEC). 342-349. 2017
- Comparison of Kalman Filter-based state of charge estimation strategies for Li-Ion batteries. 2016 IEEE Transportation Electrification Conference and Expo (ITEC). 2016
- Dynamic analysis of a Li-Iron Phosphate cell using the electro-chemical modelling approach. 2016 IEEE Transportation Electrification Conference and Expo (ITEC). 2016
- Modeling, parameterization, and state of charge estimation of Li-Ion cells using a circuit model. 2016 IEEE Transportation Electrification Conference and Expo (ITEC). 2016
- Non-dissipative battery cell balancing using half-bridge switching circuit. 2016 IEEE Transportation Electrification Conference and Expo (ITEC). 2016
- Battery characterization and state-of-charge prediction for different journey conditions with the help of the "journey mapping" concept. IECON 2015 - 41ST ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY. 3683-3688. 2015
- Minimizing battery wear in a hybrid energy storage system using a linear quadratic regulator. IECON 2015 - 41ST ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY. 3265-3270. 2015
- Battery management system in the Bayesian paradigm: Part I: SOC estimation. 2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC). 2014
- Battery Management System in the Bayesian Paradigm: Part I: SOC Estimation. 2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC). 2014
- Adaptive temperature monitoring for battery thermal management. 2013 IEEE Transportation Electrification Conference and Expo (ITEC). 2013
- Li-Ion Battery SoC Estimation Using a Bayesian Tracker. SAE Technical Papers. 2013
- A comparative study of Li-ion battery models and nonlinear dual estimation strategies. 2012 IEEE Transportation Electrification Conference and Expo (ITEC). 1-8. 2012
- A signal-based fault detection and classification strategy with application to an internal combustion engine. 2012 IEEE Transportation Electrification Conference and Expo (ITEC). 1-7. 2012
- Fault detection of an engine using a neural network trained by the smooth variable structure filter. Proceedings of the IEEE Conference on Control Applications. 1190-1196. 2011
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journal articles
- State-of-health estimation for lithium-ion batteries based on electrochemical impedance spectroscopy measurements combined with unscented Kalman filter. Journal of Power Sources. 625:235450. 2025
- Real-Time Implementable Integrated Energy and Cabin Temperature Management for Battery Life Extension in Electric Vehicles. Energies. 17:3185-3185. 2024
- Transformer-Based Deep Learning Models for State of Charge and State of Health Estimation of Li-Ion Batteries: A Survey Study. Energies. 17:3502-3502. 2024
- A Comprehensive Review of Cloud-Based Lithium-Ion Battery Management Systems for Electric Vehicle Applications. IEEE Access. 12:116259-116273. 2024
- Battery State of Charge and State of Health Estimation Using a New Hybrid Deep Neural Network Approach. IEEE Access. PP:1-1. 2024
- Deep Reinforcement Learning Based Hierarchical Energy Management Recognizing Powertrain Dynamics and Enhanced by Transfer Learning for Electrified Vehicles. IEEE Transactions on Transportation Electrification. PP:1-1. 2024
- Enhanced Vehicle Movement Counting at Intersections via a Self-Learning Fisheye Camera System. IEEE Access. 12:77947-77958. 2024
- Fault Detection for Lithium-Ion Battery Using Smooth Variable Structure Filters. IEEE Access. 12:156273-156284. 2024
- Transformer-Based Deep Learning Strategies for Lithium-Ion Batteries SOX Estimation Using Regular and Inverted Embedding. IEEE Access. 12:167108-167119. 2024
- Robust Electro-Thermal Modeling of Lithium-Ion Batteries for Electrified Vehicles Applications. Energies. 16:5887-5887. 2023
- A New Strategy for Combining Nonlinear Kalman Filters With Smooth Variable Structure Filters. IEEE Access. 11:146262-146281. 2023
- State of Temperature Estimation of Li-Ion Batteries Using 3rd Order Smooth Variable Structure Filter. IEEE Access. 11:119078-119089. 2023
- Interacting Multiple Model Strategy for Electric Vehicle Batteries State of Charge/Health/ Power Estimation. IEEE Access. 9:109875-109888. 2021
- Reduced-Coupling Coestimation of SOC and SOH for Lithium-Ion Batteries Based on Convex Optimization. IEEE transactions on power electronics. 35:12332-12346. 2020
- Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries. IEEE transactions on industrial electronics (1982. Print). 65:6730-6739. 2018
- Reliable state of charge and state of health estimation using the smooth variable structure filter. Control Engineering Practice. 77:1-14. 2018
- Artificial neural network training utilizing the smooth variable structure filter estimation strategy. Neural Computing and Applications. 27:537-548. 2016
- Model-Based Parameter Identification of Healthy and Aged Li-ion Batteries for Electric Vehicle Applications. SAE International Journal of Alternative Powertrains. 4:233-247. 2015
- Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques. IEEE Transactions on Vehicular Technology. 64:21-33. 2015
- Reduced-Order Electrochemical Model Parameters Identification and SOC Estimation for Healthy and Aged Li-Ion Batteries Part I: Parameterization Model Development for Healthy Batteries. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2:659-677. 2014
- Reduced-Order Electrochemical Model Parameters Identification and State of Charge Estimation for Healthy and Aged Li-Ion Batteries—Part II: Aged Battery Model and State of Charge Estimation. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2:678-690. 2014