Faculty profile
Bhushan Gopaluni
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Latest papers
Adaptive Digital Twin Modeling with Control: Integration of Extended Kalman Filter-Based Recursive Sparse Nonlinear Identification with Model Predictive Control.
Sensors (Basel, Switzerland) · 2026 · senior author
Label-free estimation of regulatory T cell activation markers using Raman spectroscopy with machine learning.
Scientific reports · 2025 · senior author
Hybrid triaging assistance algorithm for continuous patient monitoring.
Digital health · 2025 · senior author
Latest funding
- $201,000
Modelling and Control for the Advancement of Biologics
NSERC · 2022 · Principal investigator
- $30,000
5G Enabled Energy Management for Smart Buildings
NSERC · 2021 · Principal investigator
- $306,802
Bioprocess Engineering for Therapeutic T-cell Manufacturing
NSERC · 2019 · Co-investigator
11 publications.
Adaptive Digital Twin Modeling with Control: Integration of Extended Kalman Filter-Based Recursive Sparse Nonlinear Identification with Model Predictive Control.
Wang J, Cao L, Cao Y, Gopaluni B
Label-free estimation of regulatory T cell activation markers using Raman spectroscopy with machine learning.
Azari-Pour A, Chamkalani A, Rangan S, MacDonald KN, Huynh M, Levings MK, Schulze HG, Piret JM, Gopaluni B
Hybrid triaging assistance algorithm for continuous patient monitoring.
Li Z, Lockington J, Torres S, Jafari N, Lim M, Andjelic D, Cretu E, Ho K, Gopaluni B
Adsorption Mechanisms and AI-Driven Discovery of Biomass-Based CO2 Sorbents.
Hajiali F, Chen J, Zou T, Renneckar S, Gopaluni B, Ellis N, Rojas OJ
From biomass waste to CO2 capture: a multi-fidelity machine learning workflow for high-throughput screening of activated carbons.
Hajiali F, Ellis N, Gopaluni B
Targeted deep learning classification and feature extraction for clinical diagnosis.
Tsai Y, Nanthakumar V, Mohammadi S, Baldwin SA, Gopaluni B, Geng F
Identifying indicator species in ecological habitats using Deep Optimal Feature Learning.
Tsai Y, Baldwin SA, Gopaluni B
Effects of cysteine, asparagine, or glutamine limitations in Chinese hamster ovary cell batch and fed-batch cultures.
Ghaffari N, Jardon MA, Krahn N, Butler M, Kennard M, Turner RFB, Gopaluni B, Piret JM
Assessment of type II diabetes mellitus using irregularly sampled measurements with missing data.
Barazandegan M, Ekram F, Kwok E, Gopaluni B, Tulsyan A
Use of Molecular Dynamics for the Refinement of an Electrostatic Model for the In Silico Design of a Polymer Antidote for the Anticoagulant Fondaparinux.
Cajiao A, Kwok E, Gopaluni B, Kizhakkedathu JN
Modelling and Control for the Advancement of Biologics
Principal investigators: Gopaluni, Bhushan RB
5G Enabled Energy Management for Smart Buildings
Principal investigators: Gopaluni, Bhushan RB
Bioprocess Engineering for Therapeutic T-cell Manufacturing
Principal investigators: Piret, James
ERMP Phase 3: Understanding Energy Reduction and Developing Higher-Value Markets for Mechanical Pulps
Principal investigators: Martinez, Mark
Deep Learning Enabled Maintenance Free Control
Principal investigators: Gopaluni, Bhushan
Bioprocess Engineering for Therapeutic T-cell Manufacturing
Principal investigators: Piret, James M; Roy, Denis-Claude; Gopaluni, Bhushan; Levings, Megan K
Keywords: Cell Culture Process Engineering; Cells For Therapy; Immunotherapy; T-Cell Biology
Scalable Analytics for Extracting Control Insights from Historical Process Data: with Applications in the Pulp and Paper Industry
Principal investigators: Gopaluni, Bhushan
Process analytics to predict arc loss in an electric arc furnace**
Principal investigators: Gopaluni, Bhushan
Data analytics to detect, isolate and predict anomalies in a vaccine production process
Principal investigators: Gopaluni, Bhushan
Towards Self Driving Processes: Leveraging the Data Revolution
Principal investigators: Gopaluni, Bhushan
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
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