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MACC Researchers
Abhinav  Garg Abhinav Garg
Postdoctoral Fellow
Supervised by Dr. Prashant Mhaskar

Start date
September 2018

Email
garga7@mcmaster.ca

Education
Ph.D., Chemical Engineering, McMaster University, Canada (Aug 2018)
M.S. by Research, Chemical Engineering, IIT Madras, India (Dec 2013)
B.Tech., Electronics and Instrumentation, Uttar Pradesh Technical University, India (May 2011)

Topics
Batch Process Modeling and Control

Research Title
Control and Optimization of Batch Processes Using Data-Driven Approaches

Research Objectives
The research objective is focused on modeling, control and optimization of chemical batch processes using data-driven approaches.

MACC Publications

  • Garg, A., Felipe P.C. Gomes, Mhaskar, P., Michael R. Thompson Data-Driven Control of Rotational Molding Process, American Control Conference,, 5117-5122 (2019) [ Publisher Version ]
  • Garg, A., Felipe P.C. Gomes, Mhaskar, P., Micheal R. Thompson Model predictive control of uni-axial rotational molding process, Computers & Chemical Engineering,, 121 306-316 (2019) [ Publisher Version ]
  • Felipe P.C. Gomes, Garg, A.Mhaskar, P., Michael R. Thompson Data-Driven Advanced in Manufacturing for Batch Polymer Processing Using Multivariate Nondestructive Monitoring, Industrial and Engineering Chemistry Research,, 23 (58) 9940-9951 (2019) [ Publisher Version ]
  • Garg, A., Hassan A. Abdulhussain, Mhaskar, P., Michael R. Thompson Handling Constraints and Raw Material Variability in Rotomolding through Data-Driven Model Predictive Control, Processes,, 7 (9) 1-14 (2019) [ Publisher Version ]
  • Mhaskar, P.Garg, A.Corbett, B. Modeling and Control of Batch Processes: Theory and Applications, Springer International Publishing, (2019) [ Publisher Version ]
  • Gomes, F. P. C., Garg, A.Mhaskar, P., Thompson, M. Quality Monitoring of Rotational Molded Parts Using a Non-destructive Technique, ANTEC 2018 - Orlando, Florida, USA May 7-10, 2018. [On-line]. Society of Plastics Engineers, (2018) [ Publisher Version ]
  • Garg, A.Mhaskar, P. Utilizing Big Data for Batch Process Modeling and Control, Computers and Chemical Engineering, (2018) [ Publisher Version ]
  • Garg, A.Mhaskar, P. Subspace identification and predictive control of batch particulate processes, American Control Conference,, 505-510 (2017) [ Publisher Version ]
  • Garg, A.Corbett, B.Mhaskar, P., Hu, G., Flores-Cerrillo, J. Development of a high fidelity and subspace identification model of a hydrogen plant startup dynamics, American Control Conference,, 2857-2862 (2017) [ Publisher Version ]
  • Garg, A.Corbett, B.Mhaskar, P., Hu, G., Flores-Cerrillo, J. Subspace-based model identification of a hydrogen plant startup dynamics, Computers & Chemical Engineering,, 106 183-190 (2017) [ Publisher Version ]
  • Garg, A.Mhaskar, P. Subspace Identification-Based Modeling and Control of Batch Particulate Processes, Industrial & Engineering Chemistry Research,, 56 (26) 7491-7502 (2017) [ Publisher Version ]

Other Publications

  • Garg, A.,Tangirala, A.K. Interaction assessment in multivariable control systems through causality analysis. IFAC Proceedings Volumes, 47(1), 585-592 (2014).
  • Garg, A.,Tangirala, A.K. Metrics for Interaction Assessment in Multivariable Control Systems using Directional Analysis. Industrial & Engineering Chemistry Research, 57(3), 967-979 (2018).

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