A MATLAB graphical user interface for battery design and simulation; from cell test data to real-world automotive simulation. - Abbas Fotouhi; Neda Shateri; Daniel J. Auger; Stefano Longo; Karsten Propp; Rajlakshmi Purkayastha; Mark Wild (SMACD, 2016)

Lithium-Sulfur Cell Equivalent Circuit Network Model Parameterization and Sensitivity Analysis. - Abbas Fotouhi; Daniel J. Auger; Karsten Propp; Stefano Longo; Rajlakshmi Purkayastha; Laura O'Neill; Sylwia Walus (IEEE Trans. Veh. Technol., 2017)

Accuracy Versus Simplicity in Online Battery Model Identification. - Abbas Fotouhi; Daniel J. Auger; Karsten Propp; Stefano Longo (IEEE Trans. Syst. Man Cybern. Syst., 2018)

State of Charge Estimation in Lithium-Sulfur Cells Using LSTM Recurrent Neural Networks. - Zhihuo Wang; Abbas Fotouhi; Daniel J. Auger (ECC, 2020)

Formula-E race strategy development using artificial neural networks and Monte Carlo tree search. - Xuze Liu; Abbas Fotouhi (Neural Comput. Appl., 2020)

Formula-E race strategy development using distributed policy gradient reinforcement learning. - Xuze Liu; Abbas Fotouhi; Daniel J. Auger (Knowl. Based Syst., 2021)

Lithium-Sulfur Cell State of Charge Estimation Using a Classification Technique. - Neda Shateri; Zhihao Shi; Daniel J. Auger; Abbas Fotouhi (IEEE Trans. Veh. Technol., 2021)

Application of advanced tree search and proximal policy optimization on formula-E race strategy development. - Xuze Liu; Abbas Fotouhi; Daniel J. Auger (Expert Syst. Appl., 2022)

Development of a Hybrid Adaptive Neuro-fuzzy Inference System with Coulomb-Counting State-of-Charge Estimator for Lithium-Sulphur Battery. - Nicolas Valencia; Abbas Fotouhi; Neda Shateri; Daniel J. Auger (Int. J. Fuzzy Syst., 2023)

Cooperative Ecological Adaptive Cruise Control for Plug-In Hybrid Electric Vehicle Based on Approximate Dynamic Programming. - Jie Li 028; Yonggang Liu; Abbas Fotouhi; Xiangyu Wang 005; Zheng Chen 008; Yuanjian Zhang; Liang Li 004 (IEEE Trans. Veh. Technol., 2023)

Battery Temperature Prediction in Electric Vehicles Using Bayesian Regularization. - R. Alp Akpinar; Sreekar Achanta; Abbas Fotouhi; Hanwen Zhang; Daniel J. Auger (SMACD, 2024)

Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic. - Lin Li 056; Wanzhong Zhao; Chunyan Wang 013; Abbas Fotouhi; Xuze Liu (Expert Syst. Appl., 2024)

Formula-E Multi-Car Race Strategy Development - A Novel Approach Using Reinforcement Learning. - Xuze Liu; Abbas Fotouhi; Daniel J. Auger (IEEE Trans. Intell. Transp. Syst., 2024)

Optimal Control of Race Car With Aerodynamic Slipstreaming Effect. - Xuze Liu; Abbas Fotouhi; Marco Cecotti; Daniel J. Auger (IEEE Trans. Control. Syst. Technol., 2024)