Bhushan Gopaluni

Professor and Associate Dean of Education and Professional Development

Chemical and Biological Engineering

Bhushan Gopaluni is a professor in the department of chemical and biological engineering and an Associate Dean for Education and Professional Development in the faculty of Applied Science at the University of British Columbia. He is also an associate faculty member in the Institute of Applied Mathematics, the Institute for Computing, Information and Cognitive Systems, Pulp and Paper Center and the Clean Energy Research Center. He was the Elizabeth and Leslie Gould Teaching Professor from 2014 to 2017. He is currently an associate editor for Journal of Process Control, The Journal of Franklin Institute and Results in Control and Optimization.

Bhushan received a Ph.D. from the University of Alberta in 2003 and a Bachelor of Technology from the Indian Institute of Technology, Madras in 1997 both in the filed of Chemical Engineering. From 2003 to 2005 he worked as an engineering consultant at Matrikon Inc. (now Honeywell Process Solutions) during which he designed and commissioned multivariable controllers in British Columbia’s pulp and paper industry, and implemented numerous controller performance monitoring projects in the Oil & Gas and other chemical industries. He is the recipient of Killam Teaching Prize and the Dean’s service medal from the University of British Columbia and D.G. Fisher Award in Process Control from Canadian Society for Chemical Engineers.

BPI Publications

Adaptive online optimization of alarm thresholds using multilayer Bayesian networks and active transfer entropy Control Engineering Practice, 2023
Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system Applied Energy, 2023
Deep learning-based hybrid reconstruction algorithm for fibre instance segmentation from 3D x-ray tomographic images Canadian Journal of Chemical Engineering, 2023
Design and simulation of a novel solar photovoltaic system assisted single-slope solar still distillation unit Canadian Journal of Chemical Engineering, 2023
Early warning of drillstring faulty conditions based on multi-model fusion in geological drilling processes Journal of Process Control, 2023
Evaluation of logistic regression and support vector machine approaches for XRF based particle sorting for a copper ore Minerals Engineering, 2023
False alarm reduction in drilling process monitoring using virtual sample generation and qualitative trend analysis Control Engineering Practice, 2023
Interpretable Soft Sensors using Extremely Randomized Trees and SHAP IFAC-PapersOnLine, 2023
Large-scale process models using deep learning Modelling of Chemical Process Systems, 2023
Neural network and Sparse Identification of Nonlinear Dynamics Integrated Algorithm for Digital Twin Identification IFAC-PapersOnLine, 2023
Process Monitoring Using Domain-Adversarial Probabilistic Principal Component Analysis: A Transfer Learning Framework IEEE Transactions on Industrial Informatics, 2023
Real-time process operation evaluation and model reliability assessment for chemi-thermomechanical pulping process Control Engineering Practice, 2023
Reinforcement Learning with Partial Parametric Model Knowledge IFAC-PapersOnLine, 2023
Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics Computers and Chemical Engineering, 2023
Targeted deep learning classification and feature extraction for clinical diagnosis iScience, 2023
The arc loss challenge: A novel industrial benchmark for process analytics and machine learning Journal of Process Control, 2023
Visual analytics for process monitoring: Leveraging time-series imaging for enhanced interpretability Journal of Process Control, 2023
A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems Renewable Energy, 2022
Causal Discovery Based on Observational Data and Process Knowledge in Industrial Processes Industrial and Engineering Chemistry Research, 2022
Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation Nature Communications, 2022
Deep reinforcement learning with shallow controllers: An experimental application to PID tuning Control Engineering Practice, 2022
Determining the amount of ‘green’ coke generated when co-processing lipids commercially by fluid catalytic cracking Biofuels, Bioproducts and Biorefining, 2022
Elucidation of the mechanistic aspects of chemical EOR in viscous oil systems Journal of Petroleum Science and Engineering, 2022
Interactive visualization for diagnosis of industrial Model Predictive Controllers with steady-state optimizers Control Engineering Practice, 2022
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems 2022 IEEE International Symposium on Advanced Control of Industrial Processes, AdCONIP 2022, 2022
Meta-reinforcement learning for the tuning of PI controllers: An offline approach Journal of Process Control, 2022
Online Capacity Estimation of Lithium-ion Batteries by Partial Incremental Capacity Curve 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings, 2022
Soft Sensor Change Point Detection and Root Causal Analysis 2022 61st Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2022, 2022
Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics Proceedings of the American Control Conference, 2022
Tracking the green coke production when co-processing lipids at a commercial fluid catalytic cracker (FCC): combining isotope 14C and causal discovery analysis Sustainable Energy and Fuels, 2022
Visual Analytics: A New Paradigm for Process Monitoring IFAC-PapersOnLine, 2022
Welcome Message from the NOC Chairs 2022 IEEE International Symposium on Advanced Control of Industrial Processes, AdCONIP 2022, 2022
A meta-reinforcement learning approach to process control IFAC-PapersOnLine, 2021
Learning physics based models of Lithium-ion Batteries IFAC-PapersOnLine, 2021
Model-plant mismatch detection for cross-directional processes ISA Transactions, 2021
Representation learning and predictive classification: Application with an electric arc furnace Computers and Chemical Engineering, 2021
Visualization of multiscale ring formation in a rotary kiln Nordic Pulp and Paper Research Journal, 2021
A tractable approximation for stochastic MPC and application to mechanical pulping processes Computers and Chemical Engineering, 2020

Bhushan Gopaluni

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