معرفی
Mirfarid Musavian Ghazani is a Deep Learning Research Engineer at Halmstad University, affiliated with the School of Information Technology. His research focuses on representation learning for Electronic Health Records (EHR) using Graph Transformer models and anomaly detection in multivariate time series for disease outbreak surveillance.
- Education: MSc in Mathematics and Computer Science from Skolkovo Institute of Science and Technology (2020).
- Prior Experience: Led trajectory prediction projects for autonomous vehicles and indoor image localization at Skoltech's MobileRobotics Lab; worked on tensor networks and brain-computer interfaces during internships.
Research Interests:
- Representation learning
- Reinforcement learning
- Generative models
- Graph neural networks
- Tensor decompositions
- Digital signal processing
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