ECE Professors Kristin Dana and Shantenu Jha have been invited to speak at the NJ AI Summit in Princeton, NJ on April 11th. Governor Murphy will be giving remarks at the event.

NJ AI Summit, hosted by Princeton in partnership with New Jersey Gov. Phil Murphy and the NJ Economic Development Authority, takes place on April 11, 2024, on Princeton’s campus. The summit will convene leaders from the region and beyond to explore AI applications in health, finance, sustainable energy and technology, while also addressing the societal implications of AI and the opportunities to advance AI education and workforce development.

The event schedule is below:
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On Friday April 5th, the 2023-2024 Chancellor and Provost Awards for Faculty Excellence were announced.  The annual Chancellor and Provost Awards for Faculty Excellence recognize Rutgers–New Brunswick faculty members who have made outstanding contributions through innovative teaching; cross-disciplinary research, inquiry, or artistic expression; public engagement; and service.

Awardees are nominated by their peers for work that exemplifies the ways all of our faculty work to meet the needs of our students, communities, and the world with recognition in one of the four following categories: teaching, scholarly inquiry, service, and impact.

Professor and Chair,  Yingying Chen, was awarded The Provost Award for Pioneering Research.  Congratulations on this well-deserved recognition!

Rutgers ECE assistant professors Zhao Zhang, Bo Yuan, and Hang Liu have received a CSSI Framework award from NSF. The project is “hpcGPT: Enhancing Computing Center User Support with HPC-enriched Generative AI”. This is a collaboration between Ohio State University, Princeton University, University of California San Diego, University of Illinois Urbana-Champagne, the University of Texas at Austin and Rutgers University with Rutgers as the lead. The total amount of the award is $2,996,103  with $1,199,126 at Rutgers.

hpcGPT is a question answering service for academic computing centers such as National Center for Supercomputing Applications, Ohio Supercomputer Center, San Diego Supercomputer Center, and Texas Advanced Computing Center. These Centers provide high-performance computing (HPC) platforms to tens of thousands of users for science and engineering research. In collaboration with Princeton University and Rutgers University, hpcGPT uses generative artificial intelligence (AI) and integrates heterogeneous data sources with different update frequencies to enhance the user support service quality and efficiency, decrease the response time, and improve precision of the support.

With hpcGPT, user support teams can leverage the historical knowledge, real-time system status, and external technical expertise to better support the HPC users. With the high-quality and timely answers from hpcGPT, HPC users can resolve many technical issues, thus reducing  the workload of the user support teams. This will allow the support teams to focus more on new and novel support issues. hpcGPT will significantly enhance the user support service quality, capacity, and efficiency without increasing the human effort.