Associate Professor Hai Phan in Ying Wu College of Computing’s Department of Data Science, and a pioneer in Trustworthy AI, has recently co-authored a handbook that will guide anyone from expert to beginner who seeks to venture into the realms of trustworthy federated learning.
Materium Technologies, a startup company with deep NJIT roots, is bringing data science innovations into the slowly evolving field of solar energy panels.
Startups are always a gamble, but the Materium team has a good hand, with two pair of Highlanders — recent alumni Sheldon Fereira (M.S. ‘23) and Scott Daniel (M.S. ‘24), advised by Professor Nuggehalli Ravindra and Adjunct Instructor Michael Jaffe. Their collective scientific expertise spans the worlds of artificial intelligence, applied physics, biomedical engineering, and semiconductors.
In data analysis, it’s the outlier information that is usually the most interesting, yet sometimes that information goes unrecognized by the most common evaluation methods because they make inaccurate assumptions.
But now Michael Houle, a senior university lecturer at New Jersey Institute of Technology’s Ying Wu College of Computing, along with collaborators in Australia, Denmark and Serbia have become outliers themselves for developing the math to prove that breaking those assumptions can work better than conventional methods.
A bourgeoning interest in AI that began in high school created a serendipitous fast track to success for Vaisnavi Nemala '24, who came to NJIT as a student in the Ying Wu College of Computing and the Albert Dorman Honors College just in time to join the newly launched B.S. in Data Science in fall 2021.
Accomplished computer science and engineering professors at New Jersey Institute of Technology were among the featured speakers at a conference about creating “smart” cities that was organized by two centers of NJIT’s Martin Tuchman School of Management: the Leir Research Institute and Hub for Creative Placemaking.
Distinguished Professor of Computer Science Guiling “Grace” Wang talked about her research into developing responsive traffic signals whose timing adjusts based on the volume of traffic. Artificial intelligence is central to that project.
Practice makes perfect, and a new system being tested and perfected enables surgical trainees to obtain cutting-edge instruction in real-time through a new artificial intelligence program.
As medical students conduct surgical exercises, the AI software scans a live video feed and provides immediate, personalized feedback.The solution is among the first generation of AI teachers giving real-time feedback and may pioneer the use of similar instructional technology in other industries, including additional areas of healthcare and medicine.
Associate Professor Hai Phan in Ying Wu College of Computing’s Department of Data Science has been awarded a $740,000 grant through the Qatar Research, Development and Innovation Council (QRDI) to develop a trustworthy federated learning (FL) model that will address new standards for AI safety and security as outlined in
If you're a human resource specialist grappling with AI-based decision systems for hiring good candidates, or a data scientist trying to develop transparent and accountable ranking algorithms for decision-making in critical socio-technical contexts, you will likely benefit from the research of Aritra Dasgupta, an assistant professor in the Department of Data Science at NJIT's Ying Wu College of Computing.
The increasing interest in NJIT’s Ying Wu College of Computing (YWCC) as an educational destination for Vietnamese students has inspired a partnership between NJIT and Fulbright University, Vietnam (FUV). The partnership will offer FUV undergraduate students a unique opportunity for a U.S. educational experience in the global tech hub of the New York metro region, and credit towards an accelerated master’s degree.
The global life sciences and health care giant Bayer has partnered with New Jersey Institute of Technology (NJIT) and Stevens Institute of Technology to create unique learning opportunities for data science students that will educate, engage and inspire the next generation of STEM talent in New Jersey.
