Second workshop on Emerging Data Science Methods for Complex Biomedical and Cyber Data
October 14–15, 2021. Augusta University, Augusta, Georgia
The workshop features several eminent speakers who are pioneers in the fields of data science including big data analytics. The workshop aims to foster the collaborative research between data science/statistics and other disciplinary science for the purpose of meeting the very hardest and most important data and model-driven scientific challenges, and for enhancing the much needed skills of the next generation workforce.
The Workshop participants will learn statistical and data science methods to handle the enormously complex biomedical and cyber science data, and help them develop analytical thinking, statistical reasoning, communication skills and creativity.
June 20–24, 2022. Cornell Univ., Ithaca, NY
Stochastic networks is a multifaceted area of research concerned with the modeling, stability, control, performance, approximation, and design of stochastic networks. It gives rise to challenging and subtle mathematical problems, whose solution often requires a combination of ideas and techniques from several branches of mathematics, including probability theory, stochastic processes, analysis, optimization, algorithms, combinatorics, and graph theory. Research in this area is strongly motivated by applications in diverse domains, ranging from telecommunications and manufacturing to service operations, biological and social networks, revenue management, and health care. The conference series, initiated in 1987 and held biennially, is a major forum for researchers to learn of the latest developments and new research directions in stochastic networks.