3RD ANNUAL BIG BANG MILE
***** SCIENCE FESTIVAL *****
LOCATION
101 Crawfords Corner Rd
Holmdel, NJ US 07733
DATE
Saturday, July 15, 2023
*** FREE ADMISSION ***
EVENT SCHEDULE
1:00 pm Science Festival opens Shore Athletic Club Event tent
1:10 - 1:40 pm Tour of topics in science (See list below) Booths
1:45 - 2:15 pm Talk on Big Bang (details below) Fred Carl, Princeton U. Event tent
2:15 - 2:55 pm Tour of topics in science (See list below) Booths
+ high school science projects (See list below) Event tent
3:00 - 3:30 pm: Talk on Fusion Energy (see below) Dr. Charles Swanson, Thea Event tent
3:30 - 4:00 pm Tour of topics in science (See list below) Booths
4:00 pm: Science Festival closes. Event tent
Booths may stay open if presenters wish.
Talks:
1:45 - 2:15 pm: John Saarmann Presentation on Cosmology: Fred Carl, Princeton University and The Simons Observatory
Cutting Edge Tools for Astronomy
3:00 - 3:30 pm: Presentation on nuclear fusion energy: Dr. Charles Swanson, Thea Energy
The Past, Present and Future of Fusion Energy
Science Booths:
1) Nuclear fusion energy Thea Energy (formerly Princeton Stellarators, Inc.)
2) Astronomy Mr. Fred Carl
3) Artificial Intelligence Dr. Miklos Vasarhelyi, Rutgers University
4) Economics Dr. Mark Rodgers, Rutgers University
5) Zoology Ms. Kim Anicito
6) Medical Imaging Holmdel Imaging
7) Electronics Mr. Rick Westerwick
8) Horn Preservation Citizens for Informed Land Use (CILU)
High School Science Projects
The following projects earned awards at the 2023 Delaware Valley Science Fair.
1) "LifeSavior", 1st place 9th grade in the Computer Science category, by Nithilan Rengapragash of Lenape High School.
2) "Improving Sign Language Translation to Text Using Machine Learning", 2nd place 10th grade in the Computer Science category, by Ishani Singh of High Technology High School.
The following projects earned awards at the 2023 Jersey Shore Science Fair.
3) "A Novel System to Improve Upon the Validity and Efficiency of the College Admissions Process Using Blockchain Technology", 3rd place Computer Science (Intermediate), by Kriti Srivastava of High Technology High School.
4) "Using Machine Learning and Metabolomics to Identify Diagnosis Patterns in Multiple Sclerosis Patients", 1st place Computer Science (Upper) category, by Ananya Vuppala of the Marine Academy of Science and Technology.