R. Bhushan Gopaluni

University of British Columbia Hospital — Canada

Engineering · Physical Sciences

34h-index5.1kcitations248works3.62yr avg
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Research Topics

Fault Detection and Control Systems(115), Advanced Control Systems Optimization(71), Control Systems and Identification(54), Target Tracking and Data Fusion in Sensor Networks(25), Mineral Processing and Grinding(21)

Publications248 total

From biomass waste to CO2 capture: a multi-fidelity machine learning workflow for high-throughput screening of activated carbons
npj Computational Materials·2025Open Access
Learning the Pseudo Two Dimensional model for lithium-ion batteries with State of Health detection
Engineering Applications of Artificial Intelligence·2025
Label-free estimation of regulatory T cell activation markers using Raman spectroscopy with machine learning
Scientific Reports·2025Open Access
Adsorption Mechanisms and AI‐Driven Discovery of Biomass‐Based CO <sub>2</sub> Sorbents (Small 47/2025)
Small·2025Open Access
Discovering alarm event causality based on neural point process modeling with topology constraint for root cause analysis
Control Engineering Practice·2025
Adsorption Mechanisms and AI‐Driven Discovery of Biomass‐Based CO <sub>2</sub> Sorbents
Small·2025Open Access
Optimizing Energy-Intensive Heating Processes in Manufacturing Using Bayesian Belief Networks: A Case Study in Thermoforming
2025Open Access
Deep reinforcement learning for methane slip reduction in hybrid-powered liquefied natural gas marine vessels
Sustainable Energy Technologies and Assessments·2025Open Access
A global optimization framework for joint generation and transmission expansion planning with AC power flow representation
Renewable energy focus·2025
Data-driven dynamic modeling of renewable CO2 emissions in multimode industrial co-processing processes
Control Engineering Practice·2025· 2 cited
Time series representation learning via cross-domain predictive and contextual contrasting: Application to fault detection
Engineering Applications of Artificial Intelligence·2025· 3 citedOpen Access
Hybrid triaging assistance algorithm for continuous patient monitoring
Digital Health·2025Open Access
A novel automated soft sensor design tool for industrial applications based on machine learning
Control Engineering Practice·2025· 13 cited
Adaptive Process Monitoring for Multimode Industrial Processes Through Machine Learning
IEEE Journal of Emerging and Selected Topics in Industrial Electronics·2025· 5 cited
Learning the P2D Model for Lithium-Ion Batteries with SOH Detection
arXiv (Cornell University)·2025Open Access
From automated to autonomous process operations
Computers & Chemical Engineering·2025· 11 citedOpen Access
A view on learning robust goal-conditioned value functions: Interplay between RL and MPC
arXiv (Cornell University)·2025Open Access
Machine learning for real-time green carbon dioxide tracking in refinery processes
Renewable and Sustainable Energy Reviews·2025· 10 cited
Correction to: Enhanced 3D X-Ray Tomography: Deep Learning-Based Advanced Algorithms for Fiber Instance Segmentation
2025Open Access
A view on learning robust goal-conditioned value functions: Interplay between RL and MPC
Annual Reviews in Control·2025· 1 cited
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Frequent Co-authors

Aditya Tulsyan(11), Philip D. Loewen(7), Sirish L. Shah(6), Nathan P. Lawrence(6), Richard D. Braatz(5), Biao Huang(5), Yankai Cao(4), Michael G. Forbes(4), Yixiu Wang(3), Rohit S. Patwardhan(3), Steven Spielberg(3), Junghui Chen(3), J. Fraser Forbes(3), Kai Wang(3), Liang Cao(3), Qiugang Lu(3), Jiangong Zhu(2), Tobi Michael Alabi(2), Zaiyue Yang(2), Lin Lu(2)