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About the Masterclass

This session presents an integrated research effort that combines large-scale trajectory data collection with AI-enhanced traffic modeling to advance the understanding of Human Driven Vehicle (HDV) and Connected and Automated Vehicle (CAV) interactions. At the core of this work is the Third Generation Simulation Dataset (TGSIM), which introduces real-world vehicle and pedestrian trajectories collected through innovative aerial and infrastructure-based videography. Using advanced computer vision and deep learning methods, high-fidelity trajectories are extracted to capture critical dynamics of car-following, lane-changing, weaving, and pedestrian–vehicle interactions in diverse highway and urban environments. Building on this empirical foundation, the Next Generation Models for CAVs (NGM-CAV) project develops AI-driven behavioral and decision-making models that integrate deep learning, reinforcement learning, and stochastic approaches to represent heterogeneous human responses and automated driving behaviors. These models are calibrated and validated on TGSIM and other large-scale datasets, enabling microsimulation frameworks for Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS) with unprecedented realism. By unifying AI, behavioral science, and traffic simulation, this framework equips researchers and policymakers with next-generation AI tools to evaluate and optimize the safety and mobility impacts of emerging automated mobility technologies.

What will you learn ?

How real-time monitoring improves insight

Learn how AI helps identify patterns

Cameras track human behaviour whilst driving

Plan Your GWSEAS Journey

How real-time monitoring improves insight

Learn how AI helps identify patterns

Cameras track human behaviour whilst driving

Plan Your GWSEAS Journey

Exclusive Benefits

Exclusive Application Fee Waivers

Career Insights and Opportunities

Networking and Access to Expert Insights

Exclusive GWSEAS Scholarships from SEED Scholarship Fund

Exclusive Application Fee Waivers

Career Insights and Opportunities

Networking and Access to Expert Insights

Exclusive GWSEAS Scholarships from SEED Scholarship Fund

Register to access the video

George Washington University | School of Engineering and Applied Science

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Located at the heart of the Washington, D.C. Metropolitan Area, the George Washington University School of Engineering and Applied Science (GW Engineering) is a beacon for transformative education, research, and innovation. Driven by a deep commitment to interdisciplinary collaboration, GW Engineering empowers students to become tomorrow's problem-solvers, equipping them to address the world's most pressing challenges. Ranked among the top engineering schools, GW Engineering boasts an impressive network, with nearly 300 leading companies such as Amazon, Cisco, Google, and The World Bank actively recruiting its graduates. With its unique location in Washington, D.C., the school leverages its proximity to government agencies, businesses, and international organizations, empowering students and faculty to make impactful contributions globally. SEAS prioritizes ethical leadership, academic excellence, and the pursuit of innovation in the service of humanity.

Programs Offered

Master of Science in Civil and Environmental Engineering

M.S. Computer Science

M.S. Cybersecurity in Computer Science

M.S. Electrical Engineering

M.S. Engineering Management

Master of Science in Biomedical Engineering

M.S. Computer Engineering

M.S. Data Analytics

M.S. Mechanical & Aerospace Engineering

M.S. Systems Engineering

Master of Science in Applied Computer Science

Ph.D. Civil & Environmental Engineering

Ph.D. Electrical Engineering

M.S. Biomedical Engineering

Ph.D. Biomedical Engineering

Ph.D. Computer Science

Ph.D. Computer Engineering

Ph.D. Engineering Management

Ph.D. Systems Engineering

M.S. Civil & Environmental Engineering

Ph.D. Mechanical & Aerospace Engineering

M.S. Artificial Intelligence & Machine Learning

Register to access the video

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Frequently Asked Questions

Get all your questions answered about SEED !

The masterclass is absolutely free of charge to attend for prospective Master's & MBA aspirants! However since we have limited capacity, we encourage you to sign up as early as possible
You will get to learn about the programmes offered, application advice, career and scholarship opportunities directly from university representatives and admissions officers.
We will provide a recording (YouTube Link) of the webinar to registered attendees.
You can submit your questions through the webinar platform's Q&A feature. We will address as many questions as possible during the Q&A session.
The application fee waiver can be used for applying to the school. Instructions on how to redeem the application fee waiver will be provided to webinar attendees.
You will need a stable internet connection and a device (computer, tablet, or smartphone) with a compatible web browser.
Congratulations on starting your SEED scholarship application! You're just a few steps away from turning your study abroad dreams into reality. Let's explore what comes next:

1. Your next step involves preparing and uploading a few key documents like test score reports, academic transcripts and resume.

2. Additionally, you will need to write an essay for the upcoming stage.

3. When you've successfully filled out the entire scholarship application form, attached all the necessary documents, and sent in your fantastic essay, consider your application completed!

4. Candidates will be evaluated and shortlisted based on merit, and if you are among the shortlisted applicants, you may receive an invitation for an interview.

5. Lastly, in accordance with the timeline provided above, the SEED Scholarship winners will be officially announced.

Contact us

For any queries, please feel free to reach out to us!

email
Email

info@seedglobaleducation.com

call
Phone

+918591624998