Andrei Ivanov

applying machine learning models in intelligent maritime services: vessel tracks prediction based on historical data, anomaly detection in sensor-driven vessel analysis, fuel consumption prediction (Python, numpy, sklear; regression methods; TensorFlow)

development of video preprocessing algorithms, applying machine learning techniques in video processing (feature detection, saliency map, filtering), research on Deep Learning for video coding (C++, Python, TensorFlow, classification, CNN)

development of a mapping algorithm for simulation and optimization, nonlinear dynamics investigation of charged particle accelerators, applied software development for scientific research, PhD thesis preparation

Thesis is devoted to the development of advanced numerical mapping approach for ordinary differential equations solving. The approach is based on tensor representation of Lie transform and applied to modeling of charged particles accelerators.

Information Technology, Diploma with distinction (GPA 4.9/5.0)