The primary goal of the Jersey Shore Junior Science Symposium (JSJSS) is to promote research and experimentation in the sciences, engineering, and mathematics at the high school level, and to publicly recognize students for outstanding achievement. The two-day event includes presentations from New Jersey high school students on their individual science research projects. Schools are welcome to register and attend as observers.
The Army Education Outreach Program’s (AEOP) Junior Science and Humanities Symposia (JSHS) Program is jointly sponsored by the Army, Navy, and Air Force, in cooperation with leading research universities throughout the nation. The Department of Defense generously provides funding for the National symposium and JSHS scholarships.
First Place: Ryan Park, Millburn High School, Mentor: Dr. Susan Arrigoni
Second Place: SangHoon Jung, Bergen County Academies, Mentor: Donna Leonardi
Third Place: Amelia Curia, Colonia High School, Mentor: James Danch
Fourth Place: Harnoor Sachar, Bergen County Academies, Mentor: Donna Leonardi
Fifth Place: Lana Van Note, Marine Academy of Technology and Environmental Science, MEntor: John Wnek
First Place: Vivek Rajani, Bergen County Academies, Mentor: Donna Leonardi
Second Place: Cassandra Vongrej, Marine Academy for Technology and Environmental Sciences, Mentor: John Wnek
Third Place: Rishi Kumar, Bergen County Academies, Mentor: Donna Leonardi
Monday, January 4, 2021 research papers are due. You can submit your documents online.
View the complete list of important dates and the registration link for the 2021 event.
2020 JSHS First Place Winner – Ryan Park
Congratulations to Ryan Park from Millburn High School, Millburn, NJ for winning first place at the Junior Science and Humanities Symposium 2020 National Competition. Ryan placed first for his Oral Presentation in Mathematica and Computer Science category winning a $12,000.00 Scholarship.
Ryan’s project was “X-net: A Deep Convolusional Neural Model for X-ray Threat Detection” wherein he used calculus gradients and linear algebra to develop deep lateral stacks and parallel networks to create “X-Net.” His invention was conceptualized by incorporating the AI algorithm and machine learning to enhance the screening of passenger luggage at security checkpoints in airports.
His results demonstrate how incredibly more effective X-Net is, 328% more accurate and 91 times faster, compared to a TSA agent. And his work is not limited to airport security. This algorithm is applicable to self-driving cars, facial recognition and medical diagnostics.
Please join us in congratulating Ryan on his success. He exemplifies the extraordinary talent of our many participants this year.
- Abstracts are due – Friday, December 4, 2020
- Research papers due – Monday, January 4, 2021
- Finalists Orientation – Friday via Webex, February 5, 2021
- Rehearsal – Friday via Webex, February 26, 2021
- JSJSS – Friday via Webex, March 19, 2021
View the 2020 JSJSS Program (PDF) to learn more about the program and our partners.