CRAY Colloquium: Digital Transformations of Cleanrooms in Academic Scientific Environments
The computer science colloquium takes place on Mondays from 11:15 a.m. - 12:15 p.m. This week's speaker, Klara Nahrstedt (University of Illinois Urbana-Champaign), will be giving a talk titled "Digital Transformations of Cleanrooms in Academic Scientific Environments".
Abstract
Computer science and engineering made tremendous advances to enable digital transformations in many domains via computing technologies such as data processing and management, Internet of Things (IoT) systems, wired and wireless networks, machine-learning and multi-modal analytics, and others.
These computing advances are coming now to academic scientific environments, used in physical and life sciences, enabling digital transformations not seen before. These digital transformations are and will enable speed-up of materials discovery, shortening the span between materials discovery and their usage in device, circuit and computer architectures development, and other scientific discoveries on our campuses. However, it is a non-trivial task to achieve these digital transformations in academic environments in comparison to industrial scientific environments due to highly diverse groups who work in academic cleanrooms, heterogeneous scientific equipment spanning very different lifespans, and major cost and other resource constraints. In this talk, I will discuss the challenges of academic cleanrooms and the diversity of computing technologies that can and are contributing to the digital transformations in the cleanrooms and other academic scientific environments. I will discuss dealing with data acquisitions, processing, and management from diverse microscopes, and handling older scientific instruments and their security concerns. Furthermore, I will present IoT systems that enable access to much finer granularity of state information in cleanrooms to the scientists and lab managers when it comes to micro-climate information, maintenance information of scientific instruments, and visualization of anomaly and alert
information in case of failures.