| Receding horizon motion planning for automated lane change and merge using monte carlo tree search and level-k game theory S Karimi, A Vahidi 2020 American Control Conference (ACC), 1223-1228, 2020 | 29 | 2020 |
| Level- Reasoning, Deep Reinforcement Learning, and Monte Carlo Decision Process for Fast and Safe Automated Lane Change and Speed Management S Karimi, A Karimi, A Vahidi IEEE Transactions on Intelligent Vehicles, 2023 | 8 | 2023 |
| Monte Carlo Tree Search and Cognitive Hierarchy Theory for Interactive-Behavior Prediction in Fast Trajectory Planning and Automated Lane Change S Karimi, A Vahidi Journal of Autonomous Vehicles and Systems 1 (1), 011008, 2021 | 2 | 2021 |
| Vibration isolators with stiffness nonlinearity using Maxwell-Voigt models S Kaul, S Karimi, M Shabanisamghabady 10th European Conference on Constitutive Models for Rubbers, 2017 | 2 | 2017 |
| UTILIZING BANDWIDTH TO QUANTIFY HUMAN TORSO MOTOR CONTROL CAPABILITY S Karimi, M Tanaka, P Reeves, S Kaul Summer Biomechanics, Bioengineering and Biotransport Conference, 2016 | 1 | 2016 |
| Deep Reinforcement Learning and Game Theoretic Monte Carlo Decision Process for Safe and Efficient Lane Change Maneuver and Speed Management S Karimi | | 2023 |
| A Comprehensive Framework for Simulating Dynamics of an Off-Road Vehicle in Unconstructed Environments S Karimi, A Vahidi, P Jayakumar Dynamic Systems and Control Conference 51890, V001T10A006, 2018 | | 2018 |
