IIT Madras is a public technical and research university located in Chennai, Tamil Nadu. Founded in 1959, it is recognised as an Institute of National Importance.

IIT Madras has been ranked as the top engineering institute in India for four years in a row by the National Institutional Ranking Framework of the MHRD

It currently offers undergraduate, postgraduate and research degrees across 16 disciplines in Engineering, Sciences, Humanities and Management. About 596 faculty belonging to science and engineering departments and centres of the Institute are engaged in teaching, research and industrial consultancy.

IIT Madras

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Department Of Chemical Engineering

Xu, S., Institute of Chemical and Engineering Sciences, Singapore

Shiaofen Fang

World University root node

Monitoring Start-Up Transition in a Highly Non-Linear Process: A Critical Evaluation of the Nonlinear vs. Multi-Linear Model-based Approaches

{Li, A., National University of Singapore Adhitya, A., Institute of Chemical and Engineering Sciences Halim, I., Institute of Chemical and Engineering Sciences Balagurunathan, B {\ldots}}

I. Grossmann and J. Siirola

Plant Wide Reconfigurable Control in the Face of Sensor and Actuator Failures: Supervisory Architecture and Application to Tennessee Eastman Process

Zhou, Y., Institute of Chemical and Engineering Sciences Samavedham, L., National University of Singapore

On-line monitoring of particle shape and size distribution is a challenge in the pharmaceutical and fine chemical industries due to process complexity, the lack of process understanding and adequate in-situ sensors. However, with the advances in real-time imaging hardware, such as video cameras and fiber optics (exemplified by Focused Beam Reflectance Measurement, FBRM and Particle Vision and Measurement, PVM, both from Lasentec) combined with regulatory initiatives such as the US Food and Drug Administration's (FDA) Process Analytical Technology (PAT) program, there is a growing interest in the pharmaceutical and chemical industries as well as the research community to develop advanced in-line control technologies for particulate processes using such advanced imaging sensors.

Integrating Multi-Variate Image Analysis and Artificial Intelligence Techniques with Pvm for Inline Crystal Size and Shape Measurements

R. Gani

HANDLING OUTLIERS IN DATA-DRIVEN MODELS: APPLICATION TO REAL-TIME FINAL QUALITY PREDICTION IN BATCH PROCESSES

Doan, X., Institute of Chemical and Engineering Sciences (ICES) Zhou, Y., Institute of Chemical and Engineering Sciences

Bansal, M., National University of Singapore Karimi, IA, National University of Singapore

25 Exploring Water Reuse Opportunities in Scale Milk Processing Plant through Process Integration

Preventive Safety Management-A Remedy for Malaise in Man and Machine