Adrian Vulpe-Grigorasi

Adrian Vulpe-Grigorasi is a Junior Researcher at the Center for Digital Health and Social Innovation, affiliated with the Institute of Health Sciences at FH Steyr (FHSTP.ac.at). He holds BEng and MEng degrees and specializes in interdisciplinary research at the intersection of machine learning, cognitive science, and biomedical engineering.

His research focuses on:

• Cognitive load assessment using VR systems and biosensors
• Development of multimodal machine learning frameworks for health monitoring
• Applications of GANs in ECG analysis and synthetic data generation
• Energy systems optimization through data-driven approaches

Key projects include:

• Realistic clinical XR training systems
• Attention performance classification via eye tracking
• Smart grid forecasting with GAN data augmentation

Adrian has published in conferences such as IEEE Informatics, CGI, and ACM MUM. His work bridges theoretical machine learning advancements with practical healthcare and energy applications.