[July 2022] the paper “Lane-Change in Dense Traffic with Model Predictive Control and Neural Networks” accepted to publish in IEEE Transactions on Control Systems Technology (TCST).
[July 2022] the paper “SLAS: Speed and Lane Advisory System for Highway Navigation” accepted to present at 2022 IEEE Conference on Decision and Control (CDC).
[July 2022] the paper “Spatiotemporal Costmap Inference for MPC via
Deep Inverse Reinforcement Learning” presented at 2022 International Conference on Robotics and Automation (ICRA).
[June 2022] the paper “Predicting Parameters for Modeling Traffic Participants” accepted to present at 2022 IEEE Intelligent Transportation Systems Conference (ITSC).
[June 2022] the paper “Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving” accepted to present at 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022).
[January 2022] the paper “Spatiotemporal Costmap Inference for MPC via
Deep Inverse Reinforcement Learning” to appear in the IEEE Robotics and Automation Letters (RA-L).
[October 2021] the paper “Ecological Adaptive Cruise Control of Plug-in Hybrid Electric Vehicle with Connected Infrastructure and On-Road Experiments” to appear in ASME Journal of Dynamic Systems, Measurement and Control.
[April 2021] the paper “Risk Aware Lane Selection on Highway with Dynamic Obstacles” accepted to present and publish at 32nd IEEE Intelligent Vehicles Symposium.
[March 2021] the paper “Inducing Human Behavior to Maximize Operation Performance at PEV Charging Station” accepted to publish in Transactions on Smart Grid.
[March 2021] the paper “Pareto Optimality in Cost and Service Quality for an Electric Vehicle Charging Facility” accepted to publish in Applied Energy.
[Jan 2021] joined Honda Research Institute, USA, as a research scientist.
[Dec 2020] received Ph.D. in Systems Engineering at UC Berkeley.
[June 2020] started Summer internship at Honda Research Institute, USA, working on lane-selection algorithms.
[February 2020] the paper “Optimal Installation of Electric Vehicle Charging Stations Using Fleet-vehicles Data” to appear in IEEE PES General Meeting (PESGM), Montreal, Canada.
[January 2020] the paper “Driving in Dense Traffic with Model-Free Reinforcement Learning” to appear in IEEE International Conference on Robotics and Automation (ICRA), Paris, France.
[January 2020] the papers “Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network” and “Inducing Human Behavior to Alleviate Overstay at PEV Charging Station” to appear in 2020 American Control Conference (ACC), Denver.
[December 2019] presented “Systems and Control for Smart Society and Cyber-Physical and Human Systems” in 2020 Conference on Decision and Control (CDC), Nice, France.
[December 2019] gave a workshop talk “Inducing Human Behavior for Optimizing System Operation in Smart Cities” in 2020 Conference on Decision and Control (CDC), Nice, France.
[July 2019] presented “Design and Implementation of Ecological Adaptive Cruise Control for Autonomous Driving with Communication to Traffic Lights” in 2019 American Control Conference (ACC), Philadelphia.
[May 2019] started Summer internship at Honda Research Institute, USA, working on cooperation-aware lane-change algorithms.