Dive headfirst into the exciting world of artificial intelligence this summer.
In Stony Brook's week-long program, you'll be introduced to machine learning and self-driving through both lectures and hands-on interactive exercises with our self-developed remote control vehicle.
The program covers the basics of self-driving concepts, machine learning algorithms, neural network architecture, and data analysis techniques.
You will gain exposure to deep neural networks, such as CNN and ResNet, in the ubiquitous deep neural networks platform PyTorch.
We hope to inspire your interest in learning machine learning in the future, such as choosing a STEM major in college and/or setting up career goals in related areas.
2025 Pre-College SummerDATES PROGRAM FEE APPLICATION DEADLINE |
Experiential Learning
This program combines lectures and immersive hands-on activities. During the course of the week, you'll:
- Learn the basics of machine learning and self-driving.
- Manually drive home-designed radio-controlled (RC) cars.
- Observe a demo of our self-driving RC car.
- Go through the development flow with given instructions, where they will test drive RC robots, collect data, and train neural networks to autonomously drive the RC cars.
Course Instructors
Arghya Bhattacharya
Arghya is a Ph.D. candidate in Computer Science at Stony Brook University. He has worked on the interpretability of graph neural networks for trigger detection under the sPHENIX project. He is currently working on terabits/s data transfer research from ultra-high rate detectors at x-ray light sources to DoE supercomputers.
His thesis sheds light on designing ML-advised algorithms and cache- and memory-friendly algorithms that breed theoretical and practical advantages for shared-memory and cloud systems.
Giorgian Borca-Tasciuc, PhD
Giorgian Borca-Tasciuc is a Research Engineer with three years of experience at Sunrise Technology, where he has focused on applying machine learning to particle collider triggers and X-Ray scattering image analysis. Giorgian completed a B.S. in Electrical Engineering and Computer Science and an M.S. in Computer Science at Stony Brook, before moving on to a Phd at RPI in Semiconductor Power Electronics. His research interests in machine learning include the deployment of machine learning algorithms to real-time systems for enhancing their performance.
Yu Sun, MBA
Yu Sun, founder and CEO of Sunrise Technology Inc., holds an MBA degree and a Master’s degree in Electrical Engineering. She has 20 years of industrial experience in product development and higher education. She is Principal Investigator of about $2M federal grants in the AI related areas. She co-authored 10+ conference and journal papers, and holds one US patent.
