Abhinav Garg, PhD
Postdoctoral Fellow
McMaster Advanced Control Consortium
McMaster University
Email:
Address:
JHE-361, Department of Chemical Engineering, McMaster University,
Hamilton, ON L8S 4L7, Canada
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EXPERIENCE
2018-Present
Postdoctoral Fellow
McMaster University, Canada
• Develop Data-driven modeling and control solutions for chemical engineering systems
• Advisor: Professor Prashant Mhaskar
2014-2018
Research Assistant
McMaster University, Canada
• Investigated data-driven approaches for control of batch and batch-like processes to leverage plant historical data for their optimal operation
• Considered applications to particulate processes, rotational molding (academic collaboration) and hydrogen plant startup (industrial collaboration with Praxair Inc.)
2014-2018
Teaching Assistant
McMaster University, Canada
• Teaching Assistant for Introduction to Reactor Design (3K04)
Indian Institute of Technology Madras, India
• Researched dynamic process network reconstruction and interaction assessment from process data using causality analysis
• Contributed to both theory and practice of causality analysis in process systems engineering
• Developed a systematic approach for process network reconstruction from process data
• Developed metrics for control performance assessment, from interactions viewpoint, in plant across any control approach or controller configuration
2011-2013
Research Assistant
2011-2013
Teaching Assistant
Indian Institute of Technology Madras, India
• Maintained Department Computer Facility (DCF)
• Administered purchase of latest software and operating systems
• Installed and maintained license server for multi-user applications
• Maintained departments' website server
• Teaching Assistant for Modern Control Theory (CH5120)
June 2010
Summer Trainee
Instruments Research & Development Establishment, India
• Worked on design of Laser Transmitter Test Circuit using microcontroller
EDUCATION
2014-Aug,2018
Doctor of Phylosophy
McMaster University, Canada
Department of Chemical Engineering
Thesis: Data-Driven Modeling and Control of Batch and Batch-Like Processes
Advisor: Professor Prashant Mhaskar
2011-2013
Master of Science by Research
Indian Institute of Technology Madras, India
Department of Chemical Engineering
Thesis: Causality Analysis for Topology Reconstruction and Interaction Assessment
Advisor: Professor Arun K. Tangirala
2007-2011
Bachelor of Technology
Uttar Pradesh Technical University, India
Electronics and Instrumentation Engineering
Project: Design of Fuzzy Controller Tuned using Genetic Algorithm
PUBLICATIONS
PUBLICATIONS
Books
• Mhaskar, P., Garg, A and Corbett, B. (2019). Modeling and Control of Batch Processes. Springer International Publishing. http://doi.org/10.1007/978-3-030-04140-3 (link)
Journal Papers
• Garg, A., Abdulhussain, H., Mhaskar, P. and Thompson M. R. Handling Constraints and Raw Material Variability in Rotomolding through Data-Driven Model Predictive Control, Processes, 2019, 7(9), 610.(link)
• Gomes F. P. C., Garg, A., Mhaskar, P. and Thompson M. R. Data-Driven Advanced in Manufacturing for Batch Polymer Processing Using Multivariate Nondestructive Monitoring, Ind. Eng. Chem. Res. 58 (23), 9940-9951.(link)
• Garg, A., Gomes, F. P. C., Mhaskar, P. and Thompson M. R. (2018). Model Predictive Control of Uni-Axial Rotational Molding Process, Comp. & Chem. Eng. 121, 306-316.(link)
• Garg, A. and Mhaskar, P. (2018). Utilizing Big Data for Batch Process Modeling and Control, Comp. & Chem. Eng. 119, 228-236.(link)
• Garg, A. and Tangirala, A. K. (2018). Metrics for Interaction Assessment using Causality Analysis, Ind. Eng. Chem. Res., 57(3), 967-979.(link)
• Garg, A. and Mhaskar, P. (2017). Subspace Identification Based Modeling and Control of Batch Particulate Processes, Ind. Eng. Chem. Res., 56(26) 7491-7502. Featured on Journal Cover.(link)
• Garg, A., Corbett, B., Mhaskar, P., Hu, G., & Flores-Cerrillo, J. (2017). Subspace-Based Model Identification of a Hydrogen Plant Startup Dynamics. Comp. & Chem. Eng., 106, 183-190.(link)
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Conference Papers
• Garg, A., Gomes, F. P. C., Mhaskar, P. and Thompson M. R. Data-Driven Control of Rotational Molding Process. In American Control Conference, 5117-5122 (2019).
• Gomes, F. P. C., Garg, A., Mhaskar, P. and Thompson M. R. 2018, May. ``Quality Monitoring of Rotational Molded Parts Using a Nondestructive Technique," ANTEC 2018 - Orlando, Florida, USA May 7-10, 2018. [On-line]. Society of Plastics Engineers, ISBN: 123-0-1234567-8-9, pp. 000-000. Available: www.4spe.org
• Garg, A. and Mhaskar, P. Subspace Identification and Predictive Control of Batch Particulate Processes. In American Control Conference, 505-510 (2017).(link)
• 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. In American Control Conference, 2857-2862 (2017)(link)
• Garg, A. and Tangirala, A. K. (2014). Interaction Assessment in Multivariable Control Systems through Causality Analysis. IFAC Proceedings Volumes, 47(1), 585-592. Nominated for Best Paper Award.(link)
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Conference Presentations
• Garg, A., Gomes, F. P. C., Mhaskar, P. and Thompson M. R., ``Data-Driven Modeling and Control of a Rotational Molding Process," CSChE, Toronto, ON, 2018.
• Garg, A. and Mhaskar, P., ``Modeling Data Variety for Control of Batch Processes," CSChE, Toronto, ON, 2018.
• Garg, A. and Mhaskar, P., ``Modeling and Control of Batch Processes with Missing, Non-Uniformly Sampled and Delayed Measurements," CSChE, Toronto, ON, 2018.
• Garg, A. and Mhaskar, P., ``Accommodating Missing, Non-Uniformly Sampled and Delayed Measurements for Modeling and Control of Variable Duration Batch Processes in a Subspace Identification Framework," AIChE Annual Meeting, Paper , Pittsburgh, PA, 2018.
• Garg, A., Gomes, F. P. C., Mhaskar, P. and Thompson M. R., ``Model Predictive Control of a Rotational Molding Process," AIChE Annual Meeting, Paper , Pittsburgh, PA, 2018.
•Garg, A. and Mhaskar, P., ``Using Data Variety for Modeling and Control of Batch Processes," AIChE Annual Meeting, Paper , Pittsburgh, PA, 2018.
• Garg, A. and Mhaskar, P., "Handling Delayed and Irregular Measurements in Batch Subspace Model Identification Framework," AIChE Annual Meeting, Paper , Minneapolis, MN, 2017.
• Garg, A., Mhaskar, P., Kumar A., Hu, G., & Flores-Cerrillo, J., "Optimal Startup of Hydrogen Plant Using Data-Driven Model," AIChE Annual Meeting, Paper , Minneapolis, MN, 2017.
• Garg, A. and Mhaskar, P., "Subspace Identification for Modeling Irregular Measurements in Batch Processes," CSChE, Edmonton, AB, 2017.
• Garg, A., Mhaskar, P., Kumar A., Hu, G., & Flores-Cerrillo, J., "Optimization of Hydrogen Plant Startup Operating Procedure," CSChE, Edmonton, AB, 2017.
• Garg, A. and Tangirala, A. K., "From Data to Directionality: Reconstruction of Causal Networks for Dynamic Multivariable Processes," CSChE, Edmonton, AB, 2017. Delivered as a Keynote.
• Garg, A. and Mhaskar, P., "Data-Driven Model Predictive Control of a Seeded Batch Crystallization Process," AIChE Annual Meeting, Paper 582g, San Francisco, CA, 2016.
• Garg, A., Corbett, B., Mhaskar, P., Hu, G., & Flores-Cerrillo, J., "Development of a High Fidelity and Reduced Order Data-Driven Model of Hydrogen Plant," AIChE Annual Meeting, Paper 359f, San Francisco, CA, 2016.
• Garg, A. and Mhaskar, P., "Data-driven Predictive Control of a Seeded Batch Crystallizer ," CSChE, Quebec City, QC, 2016.
• Garg, A., Corbett, B., Mhaskar, P., Hu, G., & Flores-Cerrillo, J., "High Fidelity and Reduced Order Data-driven Modeling of Hydrogen Plant," CSChE, Quebec City, QC, 2016.
• Garg, A., Corbett, B., Mhaskar, P., Hu, G., & Flores-Cerrillo, J., "Identification of a Reduced Order Data-Driven Model of a Hydrogen Production Plant," AIChE Annual Meeting, Paper 662e, Salt Lake City, UT, 2015.
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Invited Talks
• Garg, A., "Data-Driven Approaches for Modeling and Control of Batch and Batch-like Processes", Annual MACC Meeting and Workshop, Hamilton, ON, 2017.
• Garg, A., "Data-Driven Modeling and Control of Batch and Batch-like Processes", Annual MACC Meeting and Workshop, Hamilton, ON, 2016.
AWARDS
• EGS Travel Award at McMaster University 2017-18
• Engineering Travel Assistance Award at McMaster University for summer semester 2016-17
• International Excellence Award at McMaster University for session 2017-18
• Student Travel Award by American Control Conference (ACC) 2017
• GSA Travel Assistance Award at McMaster University for fall semester 2016-17
• International Excellence Award at McMaster University for session 2016-17
• International Excellence Award at McMaster University for session 2015-16
• International Excellence Award at McMaster University for session 2014-15
• Half-Time Research Assistantship (HTRA) by MHRD, India. July 2011-Dec. 2013
• All India Rank 458 in Graduate Aptitude Test in Engineering (GATE) - 2010, conducted by seven IIT's and IISc, Bangalore
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