Katarina Grolinger, Western University

Research

Machine Learning Artificial Intelligence Explainable Artificial Intelligence Responsible Artificial Intelligence Adaptive Systems Distributed Learning Federated Learning Scalable Machine Learning

Latest papers

Benchmarking text encoding strategies in multimodal clinical data for surgical case duration prediction.
International journal of medical informatics · 2026 · senior author
Optimizing surgical efficiency: predicting case duration of common general surgery procedures using machine learning.
Surgical endoscopy · 2025
Agile DQN: adaptive deep recurrent attention reinforcement learning for autonomous UAV obstacle avoidance.
Scientific reports · 2025 · senior author

All 5 publications

Latest funding

Wind Turbine Simulator for Digital Twin-driven Condition Monitoring and Energy Prediction
NSERC · 2025 · Co-investigator
$148,947
Towards a Cleaner Environment: Smart Grid Management in the Presence of Electric Vehiecles, Renewable Energy Sources, and Storage
NSERC · 2022 · Co-investigator
$709,500
Engineering Applications of Machine Learning
NSERC · 2022 · Principal investigator
$215,000

All 10 grants and awards

5 publications.

01

Benchmarking text encoding strategies in multimodal clinical data for surgical case duration prediction.

Noorchenarboo M, Kwong M, Elnahas A, Hawel J, Schlachta CM, Grolinger K

International journal of medical informatics2026Senior author

DOI: 10.1016/j.ijmedinf.2026.106416 PMID: 41936256

02

Optimizing surgical efficiency: predicting case duration of common general surgery procedures using machine learning.

Kwong M, Noorchenarboo M, Grolinger K, Hawel J, Schlachta CM, Elnahas A

Surgical endoscopy2025

DOI: 10.1007/s00464-025-11885-0 PMID: 40571798

03

Agile DQN: adaptive deep recurrent attention reinforcement learning for autonomous UAV obstacle avoidance.

AlMahamid F, Grolinger K

Scientific reports2025Senior author

DOI: 10.1038/s41598-025-03287-y PMID: 40410238

04

Data Augmentation for Deep-Learning-Based Multiclass Structural Damage Detection Using Limited Information.

Dunphy K, Fekri MN, Grolinger K, Sadhu A

Sensors (Basel, Switzerland)2022

DOI: 10.3390/s22166193 PMID: 36015955

05

(CF)2 architecture: contextual collaborative filtering.

Bachmann D, Grolinger K, ElYamany H, Higashino W, Capretz M, Fekri M, Gopalakrishnan B

Information retrieval2018

DOI: 10.1007/s10791-018-9332-3 PMID: 30956536

Wind Turbine Simulator for Digital Twin-driven Condition Monitoring and Energy Prediction

Co-investigatorNSERC2025Research Tools and Instruments

Principal investigators: Xia, Min

Keywords: wind turbine; digital twin; machine condition monitoring; industrial data mining; energy prediction

$148,947

Towards a Cleaner Environment: Smart Grid Management in the Presence of Electric Vehiecles, Renewable Energy Sources, and Storage

Co-investigatorNSERC2022Alliance Grants

Principal investigators: Capretz, Miriam MAM

Keywords: business model; electric vehicles; greenhouse gas; machine learning; renewable energy; smart grids; vehicle to grid

$709,500

Engineering Applications of Machine Learning

Principal investigatorNSERC2022Canada Research Chairs

Principal investigators: Grolinger, Katarina

Keywords: Machine Learning; Artificial Intelligence; Explainable Artificial Intelligence; Responsible Artificial Intelligence; Adaptive Systems; Distributed Learning; Federated Learning; Scalable Machine Learning; Machine Learning Fairness

$215,000

Distributed Energy Trading Supported by Data Analytics

Principal investigatorNSERC2021Alliance Grants

Principal investigators: Grolinger, Katarina K

Keywords: artificial intelligence; blockchain; distributed energy systems; energy management; energy trading; machine learning; renewable energy

$56,000

Machine learning for anomaly detection in smart grid

Principal investigatorNSERC2021Alliance Grants

Principal investigators: Grolinger, Katarina K

$30,000

Data analytics for electric vehicle energy management

Principal investigatorNSERC2021Alliance Grants

Principal investigators: Grolinger, Katarina

$30,000

Green Button-based Blockchain Architecture for Smart Grids

Co-investigatorNSERC2018Collaborative Research and Development Grants

Principal investigators: Capretz, Miriam

$140,000

Edge-Cloud Computing for Internet of Things Data Analytics

Principal investigatorNSERC2018Discovery Launch Supplement

Principal investigators: Grolinger, Katarina

$12,500

Edge-Cloud Computing for Internet of Things Data Analytics

Principal investigatorNSERC2018Discovery Grants Program - Individual

Principal investigators: Grolinger, Katarina

Keywords: internet of things; data analytics; smart cities; edge-cloud computing; integrated system; distributed system; intelligent system; sensor data processing

$196,000

Anomaly Detection for Advanced Metering Infrastructure

Principal investigatorNSERC2017Engage Grants Program

Principal investigators: Grolinger, Katarina

$25,000

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

Electrical and Computer Engineering
Department of Surgery
Civil and Environmental Engineering

Co-authors at Western University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Ahmad Elnahas

Department of Surgery

2 shared papers, latest 2026

Miriam Capretz

Electrical and Computer Engineering

1 shared papers, latest 2018

Ayan Sadhu

Civil and Environmental Engineering

1 shared papers, latest 2022

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2022

Subject: Prospective PhD student: Machine Learning Dear Professor Grolinger, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Benchmarking text encoding strategies in multimodal clinical data for surgical case duration prediction." (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Engineering Applications of Machine Learning" (2022), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]