Sara Del Valle, a two-time NJIT alumna who works at Los Alamos National Laboratory (LANL) developing models for tracking and mitigating the spread of infectious diseases, gave the keynote address at the 2020 College of Science and Liberal Arts Awards ceremony.
NJIT researchers will look to continue a successful string of space-bound studies at the International Space Station (ISS) when a new payload of experimental samples launches to the station with the SpaceX CRS-20 commercial cargo resupply mission on Mar. 7.
The concert of motion that fish schools are famous for isn’t merely an elaborate display of synchronized swimming. Their seemingly telepathic collective movement is part of a time-tested strategy for improving the group’s chances for survival as a whole, from defense against predators to food-finding and mating.
Programmers can tell you what machine learning does and how it works, but they can't really prove why it works. Enter the mathematicians.
The what and how of machine learning are well documented — it's software that examines big data to find meaning and possibly suggest actions, based on looking for patterns and complicated statistics — and now NJIT mathematics professor Zuofeng Shang is among a small group of researchers worldwide who want to understand and document the underlying mathematical principles of it.
Casey Diekman, associate professor of mathematics at New Jersey Institute of Technology (NJIT), has been named recipient of a prestigious Fulbright U.S. Scholar Program Award to the United Kingdom in Mathematical Biology.
On May 1, the annual springtime celebration of NJIT’s College of Science and Liberal Arts (CSLA) kicked off, marking a year of highlights throughout the arts and sciences at the college during the 2019 CSLA Awards Ceremony.
This week, nearly 50 of the year’s most promising NJIT student-researchers gathered to present their work to the campus community at the university’s annual year-end research competition — the 2019 Dana Knox Showcase “A Glimpse Into the Future.”
Mathematical Sciences Professor and Associate Dean Bruce Bukiet has published his model’s projections of how the standings should look at the end of Major League Baseball’s regular season in 2019. For more than 20 years, Bukiet has applied mathematical models to compute the number of regular season games each Major League Baseball team should win. His mathematically derived projections have consistently compared well with those of so-called experts.
