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)

Characterisation of driver neuromuscular dynamics for haptic take-over system design for automated vehicles. - Chen Lv; Huaji Wang; Dongpu Cao; Yifan Zhao 001; Daniel J. Auger; Mark Sullman; Rebecca Matthias; Lee Skrypchuk; Alexandros Mouzakitis (IECON, 2017)

An Orientation Sensor-Based Head Tracking System for Driver Behaviour Monitoring. - Yifan Zhao 001; Lorenz Görne; Iek-Man Yuen; Dongpu Cao; Mark Sullman; Daniel J. Auger; Chen Lv; Huaji Wang; Rebecca Matthias; Lee Skrypchuk; Alexandros Mouzakitis (Sensors, 2017)

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)

A Novel Control Framework of Haptic Take-Over System for Automated Vehicles. - Chen Lv; Huaji Wang; Dongpu Cao; Yifan Zhao 001; Mark Sullman; Daniel J. Auger; James Brighton; Rebecca Matthias; Lee Skrypchuk; Alexandros Mouzakitis (Intelligent Vehicles Symposium, 2018)

Analysis of autopilot disengagements occurring during autonomous vehicle testing. - Chen Lv; Dongpu Cao; Yifan Zhao 001; Daniel J. Auger; Mark Sullman; Huaji Wang; Laura Millen Dutka; Lee Skrypchuk; Alexandros Mouzakitis (IEEE CAA J. Autom. Sinica, 2018)

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)

The implication of non-driving activities on situation awareness and take-over performance in level 3 automation. - Lichao Yang; Mahdi Babayi Semiromi; Daniel J. Auger; Arkadiusz Jan Dmitruk; James Brighton; Yifan Zhao 001 (IECON, 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)

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