Adaptive recurrent neural network with Lyapunov stability learning rules for robot dynamic terms identification. - Pedram Agand; Mahdi Aliyari Shoorehdeli; Ali Khaki-Sedigh (Eng. Appl. Artif. Intell., 2017)

Adaptive Model Learning of Neural Networks with UUB Stability for Robot Dynamic Estimation. - Pedram Agand; Mahdi Aliyari Shoorehdeli (IJCNN, 2019)

Human Navigational Intent Inference with Probabilistic and Optimal Approaches. - Pedram Agand; Mahdi Taherahmadi; Angelica Lim; Mo Chen 001 (ICRA, 2022)

DMODE: Differential Monocular Object Distance Estimation Module without Class Specific Information. - Pedram Agand; Michael Chang; Mo Chen (CoRR, 2022)

Online Probabilistic Model Identification Using Adaptive Recursive MCMC. - Pedram Agand; Mo Chen 001; Hamid D. Taghirad (IJCNN, 2023)

Deep Reinforcement Learning-Based Intelligent Traffic Signal Controls with Optimized CO2 Emissions. - Pedram Agand; Alexey Iskrov; Mo Chen 001 (IROS, 2023)

Fuel Consumption Prediction for a Passenger Ferry using Machine Learning and In-service Data: A Comparative Study. - Pedram Agand; Allison Kennedy; Trevor Harris; Chanwoo Bae; Mo Chen; Edward J. Park (CoRR, 2023)

Deep Reinforcement Learning-based Intelligent Traffic Signal Controls with Optimized CO2 emissions. - Pedram Agand; Alexey Iskrov; Mo Chen (CoRR, 2023)

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning. - Pedram Agand; Mohammad Mahdavian; Manolis Savva; Mo Chen 001 (CoRR, 2023)

Knowledge Distillation from Single-Task Teachers to Multi-Task Student for End-to-End Autonomous Driving. - Pedram Agand (AAAI, 2024)

Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract). - Yimeng Fan; Pedram Agand; Mo Chen; Edward J. Park; Allison Kennedy; Chanwoo Bae (AAAI, 2024)

DMFuser: Distilled Multi-Task Learning for End-to-end Transformer-Based Sensor Fusion in Autonomous Driving. - Pedram Agand; Mohammad Mahdavian; Manolis Savva; Mo Chen 001 (IROS, 2024)

DMODE: Differential Monocular Object Distance Estimation Module Without Class Specific Information. - Pedram Agand; Michael Chang; Mo Chen 001 (RoMoCo, 2024)

Predicting data science performance from log data: using machine learning. - Tenzin Doleck; Pedram Agand; Dylan Pirrotta (Educ. Inf. Technol., 2025)