Highly scalable, shared-memory, Monte-Carlo tree search based Blokus Duo Solver on FPGA. - Ehsan Qasemi; Amir Samadi; Mohammad H. Shadmehr; Bardia Azizian; Sajjad Mozaffari; Amir Shirian; Bijan Alizadeh (FPT, 2014)

SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems. - Amir Samadi; Amir Shirian; Konstantinos Koufos; Kurt Debattista; Mehrdad Dianati (ITSC, 2023)

A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field. - MReza Alipour Sormoli; Amir Samadi; Sajjad Mozaffari; Konstantinos Koufos; Mehrdad Dianati; Roger Woodman (ITSC, 2023)

Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation. - Amir Samadi; Konstantinos Koufos; Mehrdad Dianati (CoRR, 2023)

Good Data Is All Imitation Learning Needs. - Amir Samadi; Konstantinos Koufos; Kurt Debattista; Mehrdad Dianati (ECCV Workshops (7), 2024)

Taming Transformers for Realistic Lidar Point Cloud Generation. - Hamed Haghighi; Amir Samadi; Mehrdad Dianati; Valentina Donzella; Kurt Debattista (CoRR, 2024)

SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policies. - Amir Samadi; Konstantinos Koufos; Kurt Debattista; Mehrdad Dianati (IEEE Robotics Autom. Lett., 2024)

Counterfactual Explainer for Deep Reinforcement Learning Models using Policy Distillation. - Amir Samadi; Konstantinos Koufos; Kurt Debattista; Mehrdad Dianati (ACM Trans. Intell. Syst. Technol., 2025)