Emilija Strelcenia

Dr. Emilija Strelcenia is a researcher at Bournemouth University's Faculty of Science and Technology, focusing on Artificial Intelligence, Cybersecurity, and Data Science. Her work bridges machine learning with practical applications in fraud detection and medical diagnostics.

She earned a PhD in Computer Science with a thesis on Generative Adversarial Networks (GANs) for imbalanced data classification, preceded by a degree in Computer Security and Forensics. Her research centers on GAN-based data augmentation techniques to improve classification accuracy in domains like credit card fraud and breast cancer diagnosis.

• Key contributions in GAN architectures, imbalanced data handling, and healthcare/financial analytics
• Published extensively in IEEE Access, Biomedinformatics, and Machine Learning and Knowledge Extraction

Her work has been recognized with awards at IEEE conferences (CoNTESA '22, ICPES 2022, CAIT 2022), including Best Paper and Outstanding Presentation honors. She actively presents at international conferences like Big Data 2022 and Spin 2023.