Recently, two teams from the Rensselaer Cybersecurity Collaboratory (RCC) competed in University of Connecticut's annual CyberSEED tournament.

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.

We are all aware of the dangers of pollution to our air, water, and earth. In a letter recently published in Nature Human Behavior, scientists are advocating for the recognition and mitigation of another type of environmental pollution that poses equivalent personal and societal dangers: information overload.

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.

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.