We are at a unique historical moment with conditions ripe for a new industrial revolution that is going to take us to a level of automation that had never been seen before. This revolution is driven by a serendipitous confluence of ubiquitous cyber-physical systems or internet of things, gargantuan computing power, inexpensive memory and major algorithmic developments in machine learning and artificial intelligence. It is happening all around us in the form of self-driving cars to human-like robots.
The competitive global environment, and the ever increasing demands on energy, environment and quality are subjecting process industries to a high level of economic pressure. However, the process industries are in possession of treasure troves of heterogenous data that are gravely under utilized. These incredible volumes of data that industries already possess are poised to provide a level of insight and information never realized before and thus alleviate the economic and competitive pressures. We are interested in developing novel algorithms and computational tools to bring this vision of automation to the process industry.
|Jan 15, 2019||We are looking for a Post Doctoral Fellow to work on an exciting industrial project at the intersection of Control Theory and Machine Learning. For details Click Here.|
|Jul 19, 2018||DAIS Lab members set to present at ADCHEM 2018. For more information, visit the DAIS ADCHEM page.|
|Jul 5, 2017||Lee Rippon received the prestigious Killam Doctoral Scholarship.|
|Jan 15, 2016||Please check out our new paper on alarm design (to appear in AIChE Journal).|