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My name is Vivek Saini and I graduated with a Bachelors in Chemical Engineering from UPES, Dehradun, India in 2015. Thereafter, I worked for 3 years as a Process Engineer at Tata Consulting Engineer working on Basic Engineering, Detailed Engineering for a variety of industrial systems like Storage Terminals, LPG Plants and Polymer Films Units. I joined Advanced process engineering and systems group in 2018 as a PhD student in Department of Chemical and Biomedical Engineering at West Virginia University. I am currently working with Dr. Debangsu Bhattacharyya as a Graduate Research Assistant. My main area of research is development of advanced estimation framework for condition monitoring of complex systems using hybrid first principles modeling techniques. Apart from my research works, I am an avid long-distance runner and enjoy going outdoors for hiking and mountaineering expeditions.
Education:
Ph.D. Chemical Engineering, West Virginia University, Morgantown, WV, 2018 - 2024
B.Tech. Chemical Engineering, University of Petroleum and Energy Studies, Dehradun, India, 2011 - 2015
Work Experience:
Senior Engineer (Chemical), Tata Consulting Engineers Limited, India, 2015 - 2018
Current Research
Current Research
Condition Monitoring using Nonlinear Grey Box Models
The main focus of my research is development of advanced estimation algorithms for real-life systems which are difficult to be modelled. I am currently using first principles modelling techniques using differential-algebraic equations system to model these complex systems in MATLAB. These models are then utilized in an estimation framework using modified forms of Kalman Filtering Techniques. The model and the estimation framework are being validated using real time operation data obtained from various industrial plants.
Publications
Publications
Saini V, Bhattacharyya D, Purdy D, Parker J, Boohaker C, "Nonlinear State Estimation of a Power Plant Superheater by using the Extended Kalman Filter for Differential Algebraic Equation Systems", 251, 123471, Applied Thermal Engineering, 2024
Beahr D, Saini V, Bhattacharyya D, Seachman S, Boohaker C, "Estimation-based Model Predictive Control with Objective Prioritization for Mutually Exclusive Objectives: Application to a Power Plant", 141, 103268, Journal of Process Control, 2024
Mukherjee A, Saini V, Adeyemo S, Bhattacharyya D, Purdy D, Parker J, Boohaker C, "Development of Hybrid First Principles - Artificial Intelligence Models for Transient Modeling of Power Plant Superheaters under Load-Following Operation", 262, 124795, Applied Thermal Engineering, 2025
Presentations
Presentations
Saini V, "Hybrid Grey-Box Modeling and Estimation for Condition Monitoring of Complex Dynamics Energy Systems", Paper 147n, AIChE Annual Meeting, Orlando, FL, November 5-10, 2023
Saini V, Bhattacharyya D, “Development of Mass and Energy Constrained Estimator Algorithms for Process Systems”, Paper 295f, AIChE Annual Meeting, Orlando, FL, November 5-10, 2023
Saini V, Mukherjee A, Adeyemo S, Bhattacharyya D, “Grey-Box Modeling and Estimation for Health Monitoring of High Temperature Boiler Components”, Paper 433a, AIChE Annual Meeting, Orlando, FL, November 5-10, 2023
Saini V, Bhattacharyya D, “State and Parameter Estimation of Complex Dynamic Systems Using Nonlinear Grey Box Modeling: Application to an Industrial Steam Superheater System”, Paper 484g, AIChE Annual Meeting, Phoenix, AZ, November 13-18, 2022
Saini V, Reynolds K, Bhattacharyya D, “Condition Monitoring of Non-Linear Differential-Algebraic Equation Systems with Colored Process and Measurement Noise”, Paper 346t, AIChE Annual Meeting, Boston, MA, November 7-19, 2021
Saini V, Bhattacharyya D, “Nonlinear State and Parameter Estimation for Differential-Algebraic Equation Systems with Uncertain Algebraic Equations and Unknown Noise Covariance”, Virtual AIChE Annual Meeting, November 16-20, 2020
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