Ying Wu College of Computing

Distinguished Professor Guiling (Grace) Wang in the Ying Wu College of Computing (YWCC) recently co-organized a special event, Finance Day, under the theme of “Finance” as part of KDD 2024 held in Barcelona Spain with her collaborator, Daniel Barraio, AI research director at JP Morgan Chase. Professor Baruch Schieber and Associate Professor Senjuti Basu Roy, along with MD Mouinul Ph.D. ’23, and Ph.D. candidate Soroush Vahidi, also published a paper at the research track of the conference titled Promoting Fairness and Priority in k-Winners Selection Using IRV. All are from the Department of...

Three distinct problems in data science — trend identification in graphs, the quantitative study of scientific literature and evaluation of single-cell genomics — will all be addressed by new research in large-scale network analytics, jointly led by Distinguished Professor David Bader at New Jersey Institute of Technology. The problems have a common challenge of finding patterns, known as community detection, from inside incredibly large datasets. Work is funded by a $648,000 National Science Foundation grant, Cyber-Infrastructure for Community Detection, Extraction, and Search in Large...

Computer Science department chairs from several New Jersey universities and community colleges met at the Ying Wu College of Computing’s (YWCC) NJIT@JerseyCity location to discuss the state of computer science education with a focus on improving access for a broader diversity of students as part of a forward-looking AI workforce.   Newly-appointed YWCC dean Jamie Payton, whose work has centered on expanding racial, ethnic and gender diversity in technology, opened the meeting by stressing the value of building a network of partnership institutions that can share information and best...

Spotifeel is a new computer program to help scientists evaluate the relationship between your mood and your playlist, developed by NJIT rising senior Rain Nutt for her undergraduate summer research. Existing efforts tend to evaluate all listeners by the same set of music, whether they like the songs or not, so Nutt decided to gauge them on their own choices. Any loss of objectivity in a study would be countered by an increase in the test subject’s comfort level, she asserts. “You can work from where they are, instead of them coming to you,” she stated. The method gauges a Spotify user’s...