Arturs Nikulins has been working at EDI since 2021. He graduated from Riga Technical University, where he obtained a professional master’s degree in electronics in 2022, as well as a qualification as a leading electronics engineer.
His professional activities at EDI focus on the development, application, and integration of secure artificial intelligence solutions for medical data processing. His research addresses the identification and prevention of hidden and adverse, including malicious, functions that may negatively affect or manipulate artificial intelligence systems.
The work involves researching and applying explainable artificial intelligence (XAI) methods to detect hidden functions and ensure the secure integration of artificial intelligence into data processing workflows.
Recent projects
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“Applied Research” Component 2 in the areas of ICT and Smart Energy – LACISE
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Digitalization of Power Electronic Applications within Key Technology Value Chains (PowerizeD) #ChipsJU
Recent publications
- Vitalijs Komasilovs, Aleksejs Zacepins, Armands Kviesis, Kaspars Ozols, Artūrs Ņikuļins, Kaspars Sudars “Development of an MCTS Model for Hydrogen Production Optimisation”, Processes (2023) (pp.16). https://www.mdpi.com/2227-9717/11/7/1977.
- Sarmīte Strautiņa, Ieva Kalniņa, Edīte Kaufmane, Kaspars Sudars, Ivars Namatēvs, Arturs Ņikuļins, Edgars Edelmers "RaspberrySet: Dataset of Annotated Raspberry Images for Object Detection", Multidisciplinary Digital Publishing Institute (2023) (pp. 5). https://www.mdpi.com/2306-5729/8/5/86.
- Kaspars Sudars, Ivars Namatevs, Arturs Nikulins, Rihards Balass, Astile Peter, Sarmite Strautina, Edite Kaufmane, Ieva Kalnina "Semantic Segmentation Using U-Net Deep Learning Network for Quince Phenotyping on RGB and HyperSpectral Images", 27th International Conference "Electronics" (2023). https://ieeexplore.ieee.org/document/10177638.
- Kaspars Sudars, Ivars Namatēvs, Jānis Judvaitis, Rihards Balašs, Artūrs Ņikuļins, Astile Peter, Sarmīte Strautiņa, Edīte Kaufmane, Ieva Kalniņa. YOLOv5 Deep Neural Network for Quince and Raspberry Detection on RGB Images
- Arturs Nikulins, Kaspars Sudars, Edgars Edelmers, Ivars Namatevs, Kaspars Ozols, Vitalijs Komasilovs, Aleksejs Zacepins, Armands Kviesis, Andreas Reinhardt. "Deep Learning for Wind and Solar Energy Forecasting in Hydrogen Production" Energies 17(5): pp.12. https://www.mdpi.com/1996-1073/17/5/1053
- Ivars Namatevs, Kaspars Sudars, Arturs Nikulins, Kaspars Ozols. 2025. "Privacy Auditing in Differential Private Machine Learning: The Current Trends" Applied Sciences, 15(2): 647. https://doi.org/10.3390/app15020647
- Arturs Nikulins, Edgars Edelmers, Kaspars Sudars, Inese Polaka. 2025. "Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AI" Journal of Imaging, 11(2): pp.55. https://doi.org/10.3390/jimaging11020055
- Sudars, K., Namatevs, I., Nikulins, A., & Ozols, K. (2025). Privacy Auditing of Lithium-Ion Battery Ageing Model by Recovering Time-Series Data Using Gradient Inversion Attack in Federated Learning. Applied Sciences, 15(10), 5704.