Vessel’s journey toward applying machine learning to vessel segmentation

Leslie Wubbel, Anikate Ganju, and Brittnie Yi, the team behind the creation of Vessel, are passionate about using computer and data sciences to ignite a change in the medical scene of CT scans and radiology. Through their participation in the Nittany AI Challenge, they are striving to create a minimal viable product to showcase the research they’ve endeavored at Penn State. The team’s primary goal is to use pixel classification to distinguish vessels in slices of CT scans.

AI Enables Us to Think Differently about Experiences for People with Disabilities

We need to design for all humans, of all abilities and capacities, particularly as we are entering a new era of AI revolution. Traditionally, technological design, development, and deployment have been driven by a monolithic and normative view of human capacity. This has left out nearly 15% of the population. Our current accessibility standards are old, outdated, and not properly implemented.

Our Students Are the Solution

The common thread that runs through each experience is the student who uses their talent, knowledge, teamwork and newly found skills to overcome every obstacle and leave us in awe of their work. Each student team that competes in the Challenge is tasked to work with AI to develop a solution to a real-world problem. Their end goal is to create a product that will not only help them to stand out but also light the path for a future generation of students.

Why I Recommend Sponsoring the Nittany AI Challenge

The Nittany AI Challenge is an amazing event. From a participant perspective, it is not only a chance to write a cool application, but a life-changing opportunity to discover the path to entrepreneurship. From a sponsorship perspective, however, it is so much more.

The Power of Experiential Learning

In the last eight months, Dr. Yuan Xue and I have had the privilege of advising the Resilient Resumes team, one of the teams selected to present their MVP in the Nittany AI Challenge 2019.  Competing in the Nittany AI Challenge has been truly transformative for the members of the Resilient Resumes team and advising them throughout this journey reminded me one more time that we need to do more outside of the classroom to educate innovators of the future. 

Nittany AI Challenge team competes for $25,000 in funding

As part of the Nittany AI Challenge, my team is building LionPad, a comprehensive housing tool for Penn State students. Our tool helps students find off-campus housing by providing personalized recommendations powered by machine learning. We’ve made it through the first two stages of the Challenge and are currently competing for $25,000 in the final round!

Stay Informed

The Alliance is hard at work with AI industry partners to bring cutting-edge programming to Penn State. Don’t miss your opportunity to get involved!

Share your contact information to stay up-to-date on all of the activities, challenges, and networking opportunities the Nittany AI Alliance will be offering in the coming months. You’ll be among the first to know about AI–related programming, giving you a chance to sign up early for events that may offer limited seating or enrollment capacity.

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