This $369,998 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to enhance the resilience of the electric vehicle (EV) charging infrastructure in the U.S. transportation sector. The primary objectives are to develop methodologies for identifying and analyzing internet-connected EV management systems (EVMS) to detect and mitigate related vulnerabilities. This will be accomplished through advanced...
This Project Grant award of $225,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to establish a collaborative ecosystem to bolster the resilience of the electric vehicle (EV) charging infrastructure in the United States. The key products and services to be delivered under this award include: Developing proactive methodologies to identify and analyze internet-connected EV management systems (EVMS) and their...
This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $200,000 to The University of Texas at San Antonio (UTSA) to develop proactive methodologies for identifying and analyzing vulnerabilities in internet-connected electric vehicle (EV) charging management systems. The key objectives are to: Employ advanced fingerprinting techniques, including web scraping, unsupervised learning, and pattern...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $280,000 to Southern University and A&M College in Scotlandville, Louisiana provides funding for a collaborative research project to identify and analyze vulnerabilities in electric vehicle (EV) charging management systems. The key objectives are to: 1) develop advanced fingerprinting techniques to detect configurations and interconnections of...
This $199,933 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop an interaction-aware management framework to improve the efficiency and sustainability of electric vehicle (EV) transportation systems and power grids. The key components of the project include: A multi-agent reinforcement learning control model for power systems to dynamically adjust electricity prices and...
This $175,000 Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will support the development of a real-time framework for integrating electric vehicles with microgrids. The University of Florida will receive the funding to design an innovative machine learning algorithm for short-term load forecasting in microgrids, develop a cooperative game theory model to...
The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $698,978 Project Grant to Clemson University on October 1, 2023. This 3-year grant will fund research to develop effective solutions for the management of electric vehicle (EV) fast charging stations that reduce operating costs, shorten queuing time, and lessen battery degradation. The project aims to apply dynamic systems, control, and optimization techniques to derive new charging...
This Project Grant award of $150,000 from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports the development of advanced artificial intelligence and machine learning algorithms to optimize the management of electric vehicle transactions with the power grid. The key products and services to be delivered under this award include: A hierarchical forecasting framework using cellular computational...
This National Science Foundation (NSF) Project Grant from the Computer and Information Science and Engineering (CFDA 47.070) program provides $300,000 over 3 years to CAL Poly Pomona Foundation Inc., a nonprofit organization supporting California State Polytechnic University, Pomona. The project aims to develop advanced artificial intelligence and machine learning algorithms for optimal management of electric vehicle transactions with the power grid. Key deliverables include: A scalable,...
This $149,786 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research into the placement of electric vehicle (EV) charging stations and their broader social and economic impacts. The project integrates computational social science, urban resilience, behavioral science, and complex systems modeling to optimize the deployment of EV charging infrastructure in a way that boosts the economic...
This $125,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support a collaborative research initiative led by the University of South Florida. The project aims to develop proactive methodologies to identify and analyze vulnerabilities in internet-connected electric vehicle (EV) charging management systems, which are critical infrastructure supporting the U.S. transportation sector. The key products and services to be delivered include:
Advanced fingerprinting techniques using web scraping, unsupervised learning, and pattern matching to detect deployed EV charging management system configurations and retrieve artifacts for vulnerability analysis.
A comprehensive digital forensic methodology integrating static analysis, file system forensics, memory analysis, and behavioral analysis to thoroughly assess the security posture of EV charging management system firmware and web endpoints.
Exploitation of large language models to automatically identify vulnerabilities in EV charging management system source code and propose tailored remediation.
Establishment of a large-scale data and threat repository to index discovered vulnerabilities and make the harvested EV charging management system assets publicly accessible to enhance threat awareness and enable further research.
This project will connect diverse Minority Serving Institutions within the research ecosystem to foster joint work and provide training opportunities, aligning with NSF's mission to promote scientific progress and national security.