Recent News

• June, 2024 - Dr. Chen has been awarded the NSF ERI granr, "ERI: Data-Driven Expansion of Electrified Transportation Network" as a single PI. Thank you, NSF!

• May, 2024 - Ebrahim Khalil joined our lab as a master student in May. Welcome!

• May, 2024 - Allen Watson and Jonah Burke will join the lab in the summer as undergraduate researcher. Welcome!

• March, 2024 - Congrats to Dr. Mahmoud and Dr. Hasan for the awarded NSF REU project, "REU Site: CyberAI: Cybersecurity Solutions Leveraging Artificial Intelligence for Smart Systems”. Dr. Chen will serve as a faculty mentor for the REU site.

• February, 2024 - Dr. Chen has been awarded the Course and Project Grant by VentureWell to develop an innovation and entrepreneurship-integrated course, titled "Sustainable Transportation Electrification". Thank you, VentureWell!

• February, 2024 - Our paper, "Resilient Post-Disaster Rescue Framework Using Mobile and Connected Electric Vehicles," has been accepted and presented at VTC-Spring, 2024.

• February, 2024 - Our paper, "Techno-Economic Analysis Framework for Potential EVCSs Using Data-Driven Approach," has been accepted and presented at IEEE SouthEastCon, 2024.

• January, 2024 - Our collaborated paper, "Secure UAV Cooperative Communication Framework: Prospect Theory Based Approach," has been accepted and published by IEEE Transactions on Mobile Computing.

• January, 2024 - Our collaborated paper, "A Secure and Efficient Data Sharing Scheme for UAV Networks: Integration of Blockchain and Prospect Theory," has been accepted and published by IEEE Transactions on Network Science and Engineering.

• December, 2023 - Our collaborated paper, "Differential Privacy-Based Incentive Scheme for App-Assisted Mobile Edge Crowdsensing," has been accepted and presented at GLOBECOM 2023.

• October, 2023 - Our paper, "Travel Motif-Based Learning Scheme for Electric Vehicle Charging
  Demand Forecasting," has been accepted and presented at IEEE VPPC 2023.​

• April, 2023 - Our paper, "A Synergistic Learning Based Electric Vehicle Charging Demand Prediction Scheme," has been accepted and presented at IEEE SouthEastCon 2023.