Katarina Grolinger

Katarina Grolinger

Western University

H-index: 27

North America-Canada

About Katarina Grolinger

Katarina Grolinger, With an exceptional h-index of 27 and a recent h-index of 24 (since 2020), a distinguished researcher at Western University, specializes in the field of Machine Learning, IoT, Big Data, Data Analytics, Data Management.

His recent articles reflect a diverse array of research interests and contributions to the field:

VizNav: A Modular Off-Policy Deep Reinforcement Learning Framework for Vision-Based Autonomous UAV Navigation in 3D Dynamic Environments

Asynchronous adaptive federated learning for distributed load forecasting with smart meter data

Scheduling Electric Vehicle Charging for Grid Load Balancing

Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging

Personalized models for human activity recognition with wearable sensors: deep neural networks and signal processing

Comparison of machine learning techniques for activities of daily living classification with electromyographic data

Autonomous unmanned aerial vehicle navigation using reinforcement learning: A systematic review

Transformer-based model for electrical load forecasting

Katarina Grolinger Information

University

Position

___

Citations(all)

4328

Citations(since 2020)

3475

Cited By

1828

hIndex(all)

27

hIndex(since 2020)

24

i10Index(all)

37

i10Index(since 2020)

29

Email

University Profile Page

Western University

Google Scholar

View Google Scholar Profile

Katarina Grolinger Skills & Research Interests

Machine Learning

IoT

Big Data

Data Analytics

Data Management

Top articles of Katarina Grolinger

Title

Journal

Author(s)

Publication Date

VizNav: A Modular Off-Policy Deep Reinforcement Learning Framework for Vision-Based Autonomous UAV Navigation in 3D Dynamic Environments

Drones

Fadi AlMahamid

Katarina Grolinger

2024/5

Asynchronous adaptive federated learning for distributed load forecasting with smart meter data

International Journal of Electrical Power & Energy Systems

Mohammad Navid Fekri

Katarina Grolinger

Syed Mir

2023/11/1

Scheduling Electric Vehicle Charging for Grid Load Balancing

Zhixin Han

Katarina Grolinger

Miriam Capretz

Syed Mir

2023/10/16

Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging

Energies

Raiden Skala

Mohamed Ahmed TA Elgalhud

Katarina Grolinger

Syed Mir

2023/5/15

Personalized models for human activity recognition with wearable sensors: deep neural networks and signal processing

Applied Intelligence

Davoud Gholamiangonabadi

Katarina Grolinger

2023/3

Comparison of machine learning techniques for activities of daily living classification with electromyographic data

Sergio A Salinas

Mohamed Ahmed TA Elgalhud

Luke Tambakis

Sanket V Salunke

Kshitija Patel

...

2022/7/25

Autonomous unmanned aerial vehicle navigation using reinforcement learning: A systematic review

Fadi AlMahamid

Katarina Grolinger

2022/10/1

Transformer-based model for electrical load forecasting

Energies

Alexandra L’Heureux

Katarina Grolinger

Miriam AM Capretz

2022/7/8

Virtual Sensor Middleware: Managing IoT Data for the Fog-Cloud Platform

Fadi AlMahamid

Hanan Lutfiyya

Katarina Grolinger

2022/9/18

Malicious and benign url dataset generation using character-level lstm models

Spencer Vecile

Kyle Lacroix

Katarina Grolinger

Jagath Samarabandu

2022/6/22

Agglomerative Hierarchical Clustering with Dynamic Time Warping for Household Load Curve Clustering

Fadi AlMahamid

Katarina Grolinger

2022/9/18

Distributed load forecasting using smart meter data: Federated learning with Recurrent Neural Networks

International Journal of Electrical Power & Energy Systems

Mohammad Navid Fekri

Katarina Grolinger

Syed Mir

2022/5/1

Data augmentation for deep-learning-based multiclass structural damage detection using limited information

Sensors

Kyle Dunphy

Mohammad Navid Fekri

Katarina Grolinger

Ayan Sadhu

2022/8/18

Deep learning for high-impedance fault detection and classification: transformer-CNN

Neural Computing and Applications

Khushwant Rai

Farnam Hojatpanah

Firouz Badrkhani Ajaei

Josep M Guerrero

Katarina Grolinger

2022/8

Load forecasting under concept drift: Online ensemble learning with recurrent neural network and ARIMA

IEEE Access

Rashpinder Kaur Jagait

Mohammad Navid Fekri

Katarina Grolinger

Syed Mir

2021/7/7

Deep learning for high-impedance fault detection: Convolutional autoencoders

Energies

Khushwant Rai

Farnam Hojatpanah

Firouz Badrkhani Ajaei

Katarina Grolinger

2021/6/18

Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network

Applied Energy

Mohammad Navid Fekri

Harsh Patel

Katarina Grolinger

Vinay Sharma

2021/1/15

Reinforcement learning algorithms: An overview and classification

Fadi AlMahamid

Katarina Grolinger

2021/9/12

Edge-cloud computing for Internet of Things data analytics: Embedding intelligence in the edge with deep learning

IEEE Transactions on Industrial Informatics

Ananda Mohon Ghosh

Katarina Grolinger

2020/7/13

Deep learning for load forecasting: Sequence to sequence recurrent neural networks with attention

Ieee Access

Ljubisa Sehovac

Katarina Grolinger

2020/2/21

See List of Professors in Katarina Grolinger University(Western University)

Co-Authors

H-index: 147
Josep M. Guerrero

Josep M. Guerrero

Aalborg Universitet

H-index: 39
G.T. Bitsuamlak

G.T. Bitsuamlak

Western University

H-index: 29
Miriam A. M. Capretz

Miriam A. M. Capretz

Western University

H-index: 28
Ayan Sadhu

Ayan Sadhu

Western University

academic-engine