Refereed Journal Publications (over the last 10 years)

Graduate students or research fellows are shown bold letters; author for correspondence indicated with an asterisk (*), where available.

The complete list of publications and their details can be found on my Google Scholar Profile.

  1. H. R. M. Rao*, B. Zhou, K. Brown, T. Chen, S. L. Shah, “Alarm correlation analysis with applications to industrial alarm management,” Control Engineering Practice, Volume 143, February 2024, 105812.
  2. I. Yousef , A. Tulsyan, S. L. Shah, R. B. Gopaluni, "Visual Analytics for Process Monitoring: Leveraging Time-Series Imaging for Enhanced Interpretability," Journal of Process Control, Volume 132, December 2023, 103127.
  3. I. Yousef , L. D. Rippon, C. Prévost, S. L. Shah, and R. B. Gopaluni, “The arc loss challenge: A novel industrial benchmark for process analytics and machine learning,” Journal of Process Control, vol. 128, p. 103 023, 2023, issn: 0959-1524.
  4. B. T. Agyeman, E. Orouskhani, M. Naouri, W. Appels, M. Wolleben, J. Liu*, and S. L. Shah. Maximizing soil moisture estimation accuracy with simultaneous hydraulic parameter estimation using microwave remote sensing: methodology and application, 2023 [under review].
  5. B. T. Agyeman, S. R. Sahoo, J. Liu*, and S. L. Shah. LSTM-based model predictive control with discrete inputs for irrigation scheduling, Canadian Journal of Chemical Engineering, 101:3362-3381, 2023.
  6. B. T. Agyeman, S. Bo, S. R. Sahoo, X. Yin, J. Liu*, and S. L. Shah. Soil moisture map construction using microwave remote sensors and sequential data assimilation, Journal of Hydrology, 598:126425, 2021
  7. S. L. Shah, B. R. Bakshi, J. Liu, C. Georgakis, B. Chachuat, R. D. Braatz, Y. Brent. Meeting the challenges of water sustainability: the role of process systems engineering. AIChE Journal, vol. 67, page e17113, 2021.
  8. L.D.Rippon, I. Yousef , B.Hosseini, A.Bouchoucha, J.F.Beaulieu, C.Prévost, M.Ruel, S.L.Shah and R.B. Gopaluni, “Representation Learning and Predictive Classification: Application with an Electric Arc Furnace”, Computers & Chemical Engineering 150 (2021) 107304.
  9. Song Bo, Soumya R. Sahoo, Xunyuan Yin, Jinfeng Liu *, Sirish L. Shah, “Parameter and State Estimation of One-Dimensional Infiltration Processes: A Simultaneous Approach”, Mathematics, 8(1):1-22, 2020.
  10. Nahar, J., Su Liu, Yawen Mao, Jinfeng Liu, and Sirish L. Shah, “Closed-loop scheduling and control for precision irrigation”, Industrial & Engineering Chemistry Research 58 (26), 11485-11497, July 2019
  11. Nahar, J., Jinfeng Liu, and Sirish L. Shah, Parameter and state estimation of an agro-hydrological system based on system observability analysis. Computers and Chemical Engineering, 121, 450-464, 2019
  12. Nahar, Jannatun, Su Liu, Jinfeng Liu, and Sirish L. Shah., Improved Storm Water Management through Irrigation Rescheduling for City Parks. Control Engineering Practice, 121, 87-111, 2019
  13. Hu, W. , Al-Dabbagh, A.W., Chen, T., & Shah, S. L. (2018). Design of visualization plots of industrial alarm and event data for enhanced alarm management. Control Engineering Practice, vol. 79, pp. 50-64, Oct. 2018
  14. Hu, W. , Chen, T., & Shah, S. L.; Detection of frequent alarm patterns in industrial alarm floods using itemset mining methods, IEEE Transactions of Industrial Electronics, 65(9), 7290-7300 (2018)
  15. Hu, W. , Shah, S. L., & Chen, T. ; Framework for a smart data analytics platform towards process monitoring and alarm management, Computers & Chemical Engineering; vol. 114, pp. 225-244, June 2018.
  16. Al-Dabbagh A. ; Hu W. ; Lai S.; Chen T.; Shah S.L., “Towards the Advancement of Decision Support Tools for Industrial Facilities: Addressing Operation Metrics, Visualization Plots, and Alarm Floods”, IEEE Transactions on Automation Science and Engineering, vol. 15, no. 4, pp. 1883 - 1896, Oct. 2018.
  17. Arifin, B.M.S. , Li, Z., Shah, S.L., Meyer, G.A. and Colin, A., A novel data-driven leak detection and localization algorithm using the Kantorovich distance. Computers & Chemical Engineering, 108, pp.300-313.( 2018)
  18. Arifin, B.M.S. , Munaro, C.J., Angarita, O.F.B., Cypriano, M.V.G. and Shah, S.L., Actuator Stiction Compensation via Variable Amplitude Pulses. ISA Transactions, 73, pp 239-248, 2018
  19. Hu W, Chen T, Shah S.L. “Discovering association rules of mode-dependent alarms from alarm and event logs” IEEE Trans. Control Systems Technology, vol. 26, no. 3, pp. 971-983, May 2018
  20. W. Hu, J. Wang, T. Chen, & S. L. Shah, “Cause-effect analysis of industrial alarm variables using transfer entropies,” Control Engineering Practice, vol. 64, pp. 205-214, Jul. 2017.
  21. T.Yamamoto, T. Kinoshita, Y.Ohnishi and Sirish L.Shah : Design and Experimental Evaluation of a Performance-Driven PID Controller, Journal of Robotics and Mechatronics, Vol.28, No.5, pp.616-624 (2016)
  22. F Kiasi, J Prakash, SL Shah, Detection and diagnosis of incipient faults in sensors of an LTI system using a modified GLR-based approach, Journal of Process Control 23 (9), 77-89, 2015
  23. Duan P., Fan Yang, Sirish L Shah, Tongwen Chen. Transfer zero-entropy and its application for capturing cause and effect relationship between variables. IEEE Transactions on Control Systems Technology, 23(3): 855–867, 2015.
  24. Narang, A., Shah, S. L., Chen, T., Eshukeir, E., Kadali, R. “Interface level regulation in an oil sands separation cell using model-based predictive control”, In Press,, International Journal of Mineral Processing, June 2015.
  25. Marques, V. M.. ; Munaro, C. J. ; Shah, S. L. . Detection of Causal Relationships Based on Residual Analysis. IEEE Transactions on Automation Science and Engineering, v. 12, p. 1525-1534, 2015.
  26. J. Prakash, Biao Huang, S.L. Shah, Recursive constrained state estimation using modified extended Kalman filter, Computers & Chemical Engineering, Volume 65, 4, June 2014, Pages 9–17
  27. Bavdekar V. A., J. Prakash, S. C. Patwardhan, S. L. Shah, "A moving window formulation for recursive Bayesian state estimation of systems with irregularly sampled and variable delays in measurements," Industrial and Engineering Chemistry Research 53 (35), pp. 13750-13763, 2014.
  28. Bavdekar V. A. and S. L. Shah, "Computing point estimates from a non-Gaussian posterior distribution using a probabilistic k-means clustering approach," Journal of Process Control, 24 (2), pp. 487-497, 2014.
  29. Duan P., T. Chen, S. L Shah and F. Yang. Methods for root cause diagnosis of plant-wide oscillations. AIChE Journal, 60(6): 2019–2034, 2014.
  30. F Kiasi, J Prakash, SL Shah, An Alternative Approach to Implementation of Generalized Likelihood Ratio Test for Fault Detection and Isolation, Industrial & Engineering Chemistry Research, 52 (35), pp 12482–12489, 2013
  31. McClure, K.*, R.B. Gopaluni, T. Chmelyk, D. Marshman and S.L. Shah, " Nonlinear Process Monitoring Using Supervised Locally Linear Embedding Projection", Accepted for publication in IECR, 2013.
  32. Kondaveeti, S.R., I. Izadi, S.L. Shah*, D. S. Shook, R.Kadali and T. Chen, " Quantification of alarm chatter based on run length distributions", Chemical Engineering Research and Design, Article in press, 2013
  33. Kiasi, F., J. Prakash and S.L. Shah, , “An Alternative Approach to Implementation of the Generalized Likelihood Ratio Test for Fault Detection and Isolation”, Article in press with IEC Research, Sept. 2013, Vol 52, Issue. 35, pp 12482-12489
  34. F Kiasi, J Prakash, S Patwardhan, SL Shah, “A unified framework for fault detection and isolation of sensor and actuator biases in linear time invariant systems using marginalized likelihood ratio test with uniform priors”, Journal of Process Control 23 (9), 1350-1361, 2013
  35. Gunda, N.S.K., M. Singh, Y. Purwar, S. L. Shah, K. Kaur, S.K. Mitra, “Micro-spot with integrated pillars (MSIP) for detection of dengue virus NS1”, Biomed Microdevices, Springer, 5 July 2013
  36. Duan P., F. Yang, T.Chen and S.L. Shah, “Direct Causality Detection via the Transfer Entropy Approach”, IEEE Transactions on Control Systems Technology, 2013, 21(6): 2052–2066
  37. Yang F., D. Xiao, S. L. Shah. Signed directed graph based hierarchical modeling and fault propagation analysis for large-scale systems, IET Control Theory & Applications, 2013, 7 (4): 537–550.
  38. A.V. Shenoy , J. Prakash,V. Prasad, S.L. Shah K.B. McAuley, Practical issues in state estimation using particle filters: Case studies with polymer reactors, Journal of Process Control, Volume 23, Issue 2, February 2013, Pages 120–131.


  1. Fan Yang, Ping Duan, Sirish L. Shah, Tongwen Chen. Capturing Connectivity and Causality in Complex Industrial Processes, Springer, 2014 (ISBN 978-3-319-05379- 0)
  2. Choudhury, M. A. A. S., Shah, S. L. and Thornhill, N. F., “ Detection and Diagnosis of Process Nonlinearities and Valve Stiction: Data Driven Approaches ”, Springer, Sept. 2008, ISBN: 978-3-540-79223-9
  3. Shah, S.L. and J.F. MacGregor (Editors), Dynamics and Control of Process Systems 2004 ; ISBN: 0 08 044297 8 ; Published by Elsevier Press, 2005. (volume I)
  4. Shah, S.L. and J.F. MacGregor (Editors), Dynamics and Control of Process Systems 2004 ; ISBN: 0 08 044297 8 ; Published by Elsevier Press, 2005. (volume II)
  5. Huang, B. and Shah, S.L., “Performance Assessment of Control Loops: Theory and Applications”, Springer , October 1999, ISBN: 1-85233-639-0.

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