CRCV Assistant Professor, Dr. Yogesh Rawat, captained a UCF-CMU team in the herox Automated Streams Analysis for Public Safety (ASAPS) Challenge. They competed and won a $30,000 prize for Topic 4 of Contest 1 on Extraction-to-analysis systems approach across all data categories as did another team led by Roy Hayes.
The National Institute of Standards and Technology (NIST) Public Safety Communications Research Division (PSCR) launched the Automated Streams Analysis for Public Safety (ASAPS) Challenge to address this need by fostering ground-breaking multidisciplinary research and innovation in real-time emergency data analytics. The overall vision of this program is to provide public safety with advanced real-time emergency detection, situational awareness, and decision-making capabilities from many live unstructured data streams.
The overall goal of the ASAPS Challenge program is to stimulate R&D in critical technologies that will lead to future products providing public safety with advanced real-time emergency detection, situational awareness, and decision-making capabilities based on input from many live, unstructured data streams. The program is designed to stimulate research in critically important technologies such as AI-based streaming data analysis, evolving emergency event understanding, highly actionable analytic information visualizations, and highly intuitive analytics-driven response-support interfaces that maximize situation awareness while minimizing response time. Additionally, we seek to leverage cross-participant knowledge and expertise, inspire the spirit of competition, and garner potential wins at all levels – from low-level data stream analysis to information fusion to real-time information delivery and interaction.