Process Control and Data Analytics group has received funding grant for project titled "Development of Big Data Analytics based Virtual Sensors for Online Estimation and Health Monitoring of Gas-Turbine Engine Parameters " from Aeronautics R&D Board (AR&DB), DRDO, Ministry of Defence (2026-2029). Project cost: 53,97,763.
There are openings of JRF and SRF positions under this project. Please contact PI for further information.
Process Control and Data Analytics group has received consultancy project titled "Assistance to build a Soft-Sensor to measure insolubles in bulk floatation" from Teck Highland Valley Copper Partnership, British Columbia, Canada.
Process Control and Data Analytics group has received funding approval for project titled "Leveraging the capabilities of AI/ML for deep ocean exploration and climate change " from ministry of Earth Sciences under Deep Ocean Mission (2024-2026). Project cost: 35 Lakhs.
There are openings of JRF and SRF positions under this project. Last date for application 5pm 30th January 2024. For more details regarding the openings refer to the institute advt. (jobs section) or contact PI.
Process Control and Data Analytics group has received TIH-IoT Technology Development Project titled "Development of Multi-Rate and Multi Sensor fusion schemes for Soft-Sensing and Advanced Process Control" from TIH-IoT IIT Bombay (2024-2026). This project involves industrial collaborators from Applied Materials and John Deere India Pvt. Ltd. Project cost: 43 Lakhs.
There are openings of two project associate positions under this project. Last date for application: 5pm 25th January 2024. For more details regarding the openings refer to the institute advt. (under jobs section) or contact PI.
Dr. Jayaram Valluru has conducted a 3 day consultancy workshop on Advanced Process Control understanding and deployment issues in Automotive Systems for John Deere India Pvt. Ltd.
Undergraduate Student Ms. Nandana and team have won 2nd prize in technical presentations of first inaugural event of Chemical Engineering Research Symposium (CheERS 2023), Dept. of Chemical Engg., IIT Ropar.
Title of the topic presented "Development of Robust Moving Window Maximum Likelihood Estimator using Hybrid Machine Learning Algorithms"
Undergraduate Student Mr. Uttam Saroj and team have won 3nd prize in technical presentations of first inaugural event of Chemical Engineering Research Symposium (CheERS 2023), Dept. of Chemical Engg., IIT Ropar.
Title of the topic presented "Adaptive Soft Sensor Modelling using JIT Learning based Gaussian Process Regression(GPR) "