Diāna Dupļevska has been working at EDI since 2021. She received a BSc in Electronics Engineering from Riga Technical University (2021), has completed her Master’s studies, and is currently pursuing a PhD at RTU.
Her research focuses on machine learning and deep learning for image and signal processing, as well as synthetic data generation and real-data augmentation, aiming to speed up model training and improve accuracy in challenging computer vision tasks.
She has recently contributed to the HAVeT-AI, QBS, and AIMS5.0 projects; among her key achievements are work on Sim2Real approaches to improve synthetic data quality for robotics tasks and applying AI methods to the analysis of multimodal imaging data.
Recent projects
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Histological recognition and analysis of veterinary tumors surgical margins by using artificial intelligence and multimodal imaging (HAVeT-AI )
- Soil biological quality index (QBS) determination using machine learning (QBS) #LZP FLPP
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Artificial Intelligence in Manufacturing leading to Sustainability and Industry 5.0 (AIMS5.0) #ChipsJU
Recent publications
- Diana Duplevska, Maksims Ivanovs, Janis Arents, Roberts Kadikis. Sim2Real image translation to improve a synthetic dataset for a bin picking task
- D. Duplevska, V. Medvedevs, D. Surmacs, A. Aboltins. 2023. "The Synthetic Data Application in the UAV Recognition Systems Development", Advances in Information, Electronic and Electrical Engineering (AIEEE).
- Mindaugas Tamošiūnas, Roberts Kadiķis, Mikus Melderis, Romāns Maļiks, Diāna Duplevska, Daira Viškere, Ilze Matīse-van Houtana, Blaž Cugmas. 2023. "Wide-field Raman spectral band imaging of tumor lesions in veterinary medicine" Translational Biophotonics: Diagnostics and Therapeutics III, 12627: pp. 295-302. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12627/1262737/Wide-field-Raman-spectral-band-imaging-of-tumor-lesions-in/10.1117/12.2686917.short
- Guntis V. Strazds, Katrīna Viltrake, Gergely Hollosi, Laura Leja, Arnis Priedītis, Diāna Dupļevska, Makss Meiers, Christos Chronis, Iraklis Varlamis, George Dimitrakopoulos, Kārlis Freivalds. 2025. Applied AI for Adaptive Robotic Conveyor-Feeding (I). https://ifac.papercept.net/conferences/conferences/J3C25/program/J3C25_ContentListWeb_4.html#thmorninga1_ta_03
- Duplevska Diana, Savicka Anete, Ivanovs Maksims. 2025. Motor Imagery EEG Classification with Real-World and EEG-GAN-Generated Data. 10.1109/AIEEE66149.2025.11050769
- Tamošiūnas Mindaugas, Maciulevičius, Martynas, Maļiks Romans, Dupļevska Diāna Viškere Daira, Matīse-van Houtana Ilze, Kadiķis Roberts, Cugmas Blaž, Raišutis Renaldas. 2025. Raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumors. Veterinary Quarterly, 45(1): pp.1–17. https://www.tandfonline.com/doi/full/10.1080/01652176.2025.2486771?src=
- Daira Viškere, Mindaugas Tamošiūnas, Romans Maļiks, Diāna Dupļevska, Ilze Matīse-van Houtana, Roberts Kadiķis, Blaž Cugmas. 2025. Virtual Staining From Optical Coherence Tomography to Hematoxylin and Eosin Stained Skin Tumor Samples in Pets.