Control loop performance assessment and diagnosis is an important area with an impact on profitability and safety of operating plants. There has been significant research activity in this area in the last couple of decades. I will describe work done in our research group in this area starting with fundamental contributions all the way up to product development and deployment in industrial facilities based on our research. As a part of this talk, I will also describe ten key ideas related to the conduct of research that might be useful for young researchers.
Raghunathan Rengaswamy is the Marti Subrahmanyam Institute Chair Professor and a core member of the Robert Bosch Center for Data Science and AI (RBC-DSAI) at IIT Madras. He is a co-Founder and Director of three IITM incubated companies: Gyan Data Pvt. Ltd. in the area of data analytics, GITAA Pvt. Ltd., a data science training company, and Elicius Energy, developing a novel PEM fuel cell. Prior to this, he worked for several years as a faculty in the US and also at IIT Bombay. Raghu’s work is in the area of systems engineering with a focus on modeling and the use of data science, ML and AI techniques. He also approaches problems in energy systems, systems biology and droplet microfluidics using systems principles. He has received awards for his research: Young Engineer Award for the year 2000 awarded by INAE, the Graham faculty research award at Clarkson University in 2006. He has also received teaching awards: Omega Chi Epsilon professor of the year award at Clarkson in 2003, and Dr. Y.B.G. Varma award for teaching excellence at IIT Madras in 2018. He was elected a fellow of Indian National Academy of Engineering in 2017.
This seminar is compulsory for students registered for course CL 702 or CL 704.