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News and Events

Nov 15-30 2024
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CYBER-CARE Competition 2024

At CyberCare Competition, we believe there is a better way to address the pressing issues in transportation cybersecurity. Our goal is to empower individuals to achieve more than they ever thought possible in this critical field. Understanding the unique challenges and strengths of each participant is essential to our mission. We focus on building reliable connections, delivering outstanding results, and creating trusted experiences that are as impactful as they are memorable.

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Highlighted on the University of Houston Spring/Summer 2024 Magazine Cover

CYBER-CARE is proud to be featured in the University of Houston Spring/Summer 2024 Magazine, highlighting our leading role in safeguarding America's transportation systems against cyber threats. As a Tier 1 university center, recognized by the U.S. Department of Transportation, our consortium is at the forefront of advancing cybersecurity measures to protect connected and automated vehicles and critical infrastructure. This feature outlines our ongoing projects and the innovative technologies we are deploying to enhance national security and public safety.

Oct 17-19 2024
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Safeguarding Transportation Cybersecurity in the Digital Age(Symposium 2024)

On behalf of the United States Department of Transportation University Research Center, we are pleased to announce that the 2024 Symposium on CyberCare will be held from October 17th (Thursday) to October 19th (Saturday), 2024, at the Student Center South, University of Houston, TX. The theme of the symposium is “Safeguarding Transportation Cybersecurity in the Digital Age.” The main objective of the symposium is to provide a forum for professionals to discuss and address the pressing needs of cybersecurity, connected and automated vehicles (CAV), AI applications, transportation data security, advanced traffic management systems (ATMS), next-gen transportation cybersecurity, and how digital and AI technologies are revolutionizing transportation.

Jan 10 2024
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The 1st Workshop of Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE)

CYBER-CARE's inaugural workshop unfolds at the historic Morrison-Clark Inn & Restaurant in Washington, DC. Centered on "Cybersecure Transit: Innovation at the Intersection of AI, IoT, and Smart Mobility," the event offers a profound exploration of leading-edge developments in transportation security. Attendees anticipate a deep dive into the evolving landscape of AI, IoT, and smart mobility, promising insights into the future of cyber-secure transit.

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IEEE Best Land Transportation Paper Award (2023)

Our paper, A Deep Reinforcement Learning Network for Traffic Light Cycle Control, has received the prestigious IEEE Best Land Transportation Paper Award for the year 2023. It proposes an innovative solution using deep reinforcement learning and real-time traffic data to optimize traffic light durations, reducing cumulative waiting time. By dividing intersections into grids and employing advanced optimization techniques like dueling networks, our approach shows promising results in simulations for efficient traffic light control using SUMO.

Sep 25 2023
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AI for Cybersecurity and Security of AI

Talk is about The mutual needs and benefits of AI and cybersecurity have been widely recognized. AI techniques are expected to enhance cybersecurity by assisting human system managers with automated monitoring, analysis, and responses to adversarial attacks. Conversely, it is essential to guard AI technologies from unintended uses and hostile exploitation by leveraging cybersecurity practices. The interplay between AI/machine learning, and cybersecurity introduces new opportunities and challenges in the security of AI as well as AI for cybersecurity.

Sep 6 2023
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Train the Trainers as Next Generation Leaders in Data Science for Cybersecurity for Underrepresented Communities

The collaborative "Train the Trainers" grant focuses on grooming next-generation leaders in data science for cybersecurity within underrepresented communities. Prairie View Texas A&M, Alabama A&M, and the University of Houston (UH) are the key partners driving this initiative. With a total funding of $499,000, the University of Houston secures $325,000 to spearhead its role in this pivotal project.

Aug 22 2023
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Exploring Innovation: T.H. Rogers School's Visit to the CYBER-CARE Center and AI Lab

70 leaders, teachers, and staff from T.H. Rogers School embarked on an enlightening educational journey to the CYBER-CARE Center and Human-Centered AI Lab. This visit provides them with a firsthand experience of cutting-edge technology and research in cybersecurity and artificial intelligence, fostering hands-on learning, collaboration, and innovation. Such initiatives underscore the school's unwavering commitment to equipping students with the necessary skills for success in the ever-evolving digital landscape.

Aug 1 2023
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Enhancing Road Safety and Transportation Infrastructure Security through Innovative Analysis

Dr. Lu Gao, University of Houston associate professor and CYBER-CARE co-PI, teams up with Texas A&M University to clinch a $459,000 TxDOT grant. Their collaborative endeavor focuses on leveraging innovative pavement data analysis to improve road safety while also contributing valuable insights to cybersecurity research. This synergistic initiative holds the potential to revolutionize both road safety practices and transportation infrastructure security, benefiting communities and stakeholders alike.

Jul 6 2023
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Dr. Yunpeng (Jack) Zhang's Research Featured on UH News

Leading the Way to Cyber Safety on Roads and Highways" signifies a proactive commitment to securing modern transportation systems against cyber threats. This involves embracing cutting-edge technologies, fostering collaboration among stakeholders, and implementing regulations and standards to protect all road users. The goal is to ensure the safety and reliability of connected and autonomous vehicles, infrastructure, and communication networks while preventing cyberattacks with real-world consequences.