Ivan Zorin Email & Phone Number

Moscow, RU

Москва, Россия

PhD Student at Energy Science and Technology Center of Skolkovo Institute of Science and Technology. My area of research was in the intersection of energy systems and data-based methods including optimization and machine learning. During my studies I worked on AC Optimal Power Flow problem, Transmission Expansion Planning, Non-Intrusive Load Monitoring and.

At Docet TI we developed a tool, called Twino, for utilities to detect and manage Non-Technical Losses (NTL) in power systems. As a TechLead I have driven development of core algorithm to detect NTL using smart meters' data, interviewed industry experts to implement real-world needs in our solution, collaborated with other teams to develop UI of Twino

Москва, Москва, Россия

Industrial AI team. Worked on developing AI and signal processing methods to enhance reliability and efficiency of industrial machines. Researched and implemented state-of-the-art anomaly detection methods with a focus on unsupervised and self-supervised methods to analyse audio signals of working machines and detect abnormalities in their operational.

Москва, Россия

Researched in implemented state-of-the-art deep learning models for audio signal processing. Contributed to different projects on audio signal processing, including Noise Reduction, Voice Biometrics and Acoustic Noise Control. Designed lab experiments to collect data and improve quality of noise control of Huawei's earbuds.

Education record

Master'S Degree, Applied Mathematics And Informatics

Bachelor'S Degree, Applied Mathematics And Informatics