Kaspars Sudars

Dr. sc. comp.

Senior researcher

Kaspars Sudars is an artificial intelligence researcher at the Institute of Electronics and Computer Science. He received his PhD in Computer Science from the Faculty of Computing, University of Latvia, and is a co-author of more than 30 SCOPUS-indexed scientific publications focusing on research in signal processing, deep learning, and computer vision.

His current scientific interests include explainable artificial intelligence, semantic image segmentation, and object detection in images.

In addition to his academic work, Kaspars Sudars is a co-founder of the start-up company WeedBot, which develops robotic crop weeding solutions based on artificial intelligence.

Scopus profile

Projects

Publications

2026
Differentially Private Federated Learning for Remaining Useful Life Prediction(opens in a new window)

Arturs Nikulins, Kārlis Freivalds, Ivars Namatēvs, Kaspars Sudars, Audris Arzovs, Wilhelm Söderkvist Vermelin, Madhav Mishra, Kaspars Ozols.

Applied Sciences, Vol. 16 (6), p. 2784 (raksta numurs), MDPI

DOI(opens in a new window)
2025
Privacy Auditing of Lithium-Ion Battery Ageing Model by Recovering Time-Series Data Using Gradient Inversion Attack in Federated Learning(opens in a new window)

Kaspars Sudars, Ivars Namatēvs, Arturs Nikulins, Kaspars Ozols

Applied Sciences (Switzerland), Vol. 15 (10), MDPI
2025
Privacy Auditing of Lithium-Ion Battery Ageing Model by Recovering Time-Series Data Using Gradient Inversion Attack in Federated Learning(opens in a new window)

Sudars, K., Namatevs, I., Nikulins, A., & Ozols, K.

Applied Sciences, Vol. 15 (10), p. 5704, MDPI
2025
Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AI(opens in a new window)

Arturs Nikulins, Edgars Edelmers, Kaspars Sudars, Inese Polaka

Journal of Imaging, Vol. 11 (2), p. 55, MDPI
2025
Privacy Auditing in Differential Private Machine Learning: The Current Trends(opens in a new window)

Ivars Namatevs, Kaspars Sudars, Arturs Nikulins, Kaspars Ozols

Applied Sciences, Vol. 15 (2), p. 647, MDPI

Kaspars Sudars

Projects

Publications

Differentially Private Federated Learning for Remaining Useful Life Prediction(opens in a new window)

Privacy Auditing of Lithium-Ion Battery Ageing Model by Recovering Time-Series Data Using Gradient Inversion Attack in Federated Learning(opens in a new window)

Privacy Auditing of Lithium-Ion Battery Ageing Model by Recovering Time-Series Data Using Gradient Inversion Attack in Federated Learning(opens in a new window)

Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AI(opens in a new window)

Privacy Auditing in Differential Private Machine Learning: The Current Trends(opens in a new window)