Publications

J = journal; C = conference; ' = in preparation

[4, J]  Aaron Kandel and Scott Moura, "Safe Learning MPC with Limited Model Knowledge and Data,"  IEEE Transactions on Control Systems Technology, 2023.

[3, J]  Aaron Kandel, Saehong Park, and Scott Moura, "Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems," IEEE Transactions on Control Systems Technology, 2022.

[2, J]   Saehong Park, Andrea Pozzi, Michael Whitmeyer, Hector Perez, Aaron Kandel, Geumbee Kim, Yohwan Choi, Won Tae Joe, Davide Raimondo, and Scott J. Moura, "A Deep Reinforcement Learning Framework for Fast Charging Li-ion Batteries" IEEE Transactions on Transportation Electrification, 2022.  

[1, J]   Aaron Kandel, Mohamed Wahba, and Hosam K. Fathy, "Fisher Identifiability Analysis of Longitudinal Vehicle Dynamics," ASME Letters in Dynamic Systems and Control, 2022. 

[5, C]  Fangqi Liu, Rishav Sen, Jose Paolo Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, and Abhishek Dubey, "Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards," 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Detroit, MI, May 19th-23rd 2025, Best Paper Award Finalist.

[4, C]  Chitra Dangwal, Dylan Kato, Aaron Kandel, and Scott J. Moura, “Global Sensitivity Analysis of 0D Lithium Sulfur Electrochemical Model,” IFAC World Congress, 2023. 

[3, C]  Aaron Kandel, Saehong Park, Hector Perez, Guembee Kim, Yohwan Choi, Hyoung Jun Ahn, Won Tae Joe, and Scott Moura, "Distributionally Robust Surrogate Optimal Control for Large-Scale Dynamical Systems," Proc. of the 2020 American Control Conference, Denver, CO, July 1st-3rd 2020, IEEE.

[2, C]  Aaron Kandel, Mohamed Wahba, Stephen Geyer, and Hosam K. Fathy, "Impact of Terrain Variability on Chassis Parameter Identifiability for a  Heavy-Duty Vehicle," Proc. of the 2018 European Control Conference, Limassol, Cyprus,  June 16th-19th 2018, IEEE.  

[1, C] Aaron Kandel and Miguel Mostafa, "Modeling the Distribution of Arrival Directions of Ultra-High-Energy Cosmic Rays with Physically Motivated Functions," Bulletin of the American Physical Society (APS), 2017 APS Mid-Atlantic Conference, Newark, NJ November 3rd-5th, APS.