Rensselaer Researcher Receives DOE Grant To Develop Models That Track the Formation of Black Holes

When a star goes supernova, a massive burst of neutrinos is the first signal that can escape the density of the collapsing star. Detecting and analyzing this phenomenon in real time would allow us insight into stellar dynamics and, potentially, black hole formation. Detection of these types of signals from modern physics detectors is notoriously hard and presents computational challenges that push the bounds of modern and next-generation computing. Transmitting and analyzing the data from the massive particle physics detectors to the next generation of extreme-scale computing will require detailed modeling of the networking, hardware, and leadership class computing systems. These models will allow researchers to find and optimize the computing pathways, configurations, and infrastructure topologies so that they can handle these massive data loads.

James Hendler Receives Service Award at International Semantic Web Conference

Rensselaer Polytechnic Institute’s James Hendler, Ph.D., was honored with the Semantic Web Science Association Service Award at the 22nd International Semantic Web Conference. Hendler was recognized for playing a founding role in creating the field, his support for the community, and for his contributions to diversity, equity, and inclusion, especially in supporting the advancement of women in the community. The award is the highest in the Semantic Web community.

Deborah McGuinness Is Honored for Contributions to Knowledge Technologies

Rensselaer Polytechnic Institute’s Deborah McGuinness, Ph.D., has been elected a fellow of the ACM, the Association for Computing Machinery, “for contributions to knowledge technologies including ontologies and knowledge graphs.” McGuinness is one of 68 fellows selected by her peers to receive the honor for transformative contributions to computing science and technology.

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