Prof. Arun K. Tangirala

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Dr. Arun K. Tangirala obtained his Bachelors degree in Chemical Engineering from IIT Madras in 1996 and his Doctoral degree in Process Control & Monitoring from the Department of Chemical & Materials Engineering, University of Alberta, Edmonton, Canada in the year 2001. Continuing as a Post-Doctoral Fellow for a short period, he joined as a Research Manager in the Industry-Govt. sponsored Chair Program at the same department. He was in charge of this position until Dec. 2004.

In Dec. 2004, Dr. Tangirala returned to his alma mater (IIT-M) as a Visiting Faculty in the Department of Chemical Engineering. He is presently serving as a Professor in the Department of Chemical Engineering, IIT Madras.

Dr. Tangirala is a recipient of prestigious teaching & research awards and international fellowships. In addition, he has held the positions of Visiting Professorship at leading international universities such as University of Delaware, Technical University of Munich, Tsinghua University, etc. He was awarded the Young Faculty Recognition Award in 2010 and the Institute Research and Development Award (Junior Level) in 2014 by IIT Madras.

He has recently authored a comprehensive classroom text on System Identification under the title "Principles of System Identification: Theory and Practice", published by CRC Press. The book has been designed as a one-stop resource for linear system identification and can also be used in introductory courses on random signal processing and parameter estimation.

Major Areas of Interest:

  • Process Systems Engineering
  • Data Science & Artificial Intelligence

Other Areas of Interest:

  • Process Control
  • System Identification
  • Fault Detection & Diagnosis
  • Applied Machine Learning
  • Time-Series Analysis
  • Intelligent Control
  • Complex Networks
  • Intelligent Transportation & Climate Networks / Modelling

Refereed Journal Publications:

  • P. Shettigar, A.K. Tangirala and L. Vanajakshi (2024). A LIDAR-based Traffic Data Classification Framework for Indian Urban Traffic. International Journal of Intelligent Transportation Systems Research, 1-15.
  • P. Bhattacharya, A.K. Tangirala and K. Raman (2024). Design Principles for Perfect Adaptation in Biological Networks with Nonlinear Dynamics. Bulletin of Mathematical Biology, 86(8), 100.
  • H. Harikumar, A.K. Tangirala and B. George (2024). An Inductive Sensing Mechanism for Cantilever Based Water Flow Measurement. IEEE Transactions on Instrumentation and Measurement, 73, 1-10.
  • M.V. Rishi and A.K. Tangirala (2024). Probabilistic Adaptive Slow Feature Analysis for State Estimation and Classification. IEEE Transactions on Instrumentation and Measurement, 73, 1-15.
  • D. Tantary, A.K. Tangirala, R. Murthugudde, R. Kumar and U. Bhatia (2023). Geographical Trapping of Synchronous Extremes Amidst Increasing Variability of Indian Summer Monsoon Rainfall. Geophysical Research Letters, 2023, 50(22), e2023GL104788.
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