Having scientific background in multidisciplinary fields such as Deep Learning, Machine Learning, Artificial Neural Networks, Kernel Models, Computational Mathematics and Optimization, my goal is to apply these techniques in real-world problems that require efficient and practical solutions. To date, my expertise have been implemented into various application domains such as Weather Forecasting/Nowcasting, Learning Complex Dynamical Systems, Image/Video Segmentation and Biomedical Data. Particularly the majority of my work has been dedicated towards development of several impactful advanced machine learning models including: Deep learning, Domain Adaptation, Transfer Learning, Supervised, Unsupervised and Semi-Supervised Learning.
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