Making ML to work for business needs

AIoT systems development.

- Advanced data science program- Tech stack: Python (NumPy, pandas, scikit-learn, TensorFlow, PyTorch, OpenCV), GitHub, Docker

- Organization and conduction of scientific experiments- Experimental data analysis for subsequent physical interpretations, e.g., CCD camera image and RF sensors signal analysis- Big data processing and Statistical analysis for corrections of the accelerator facility operation, including utilization of DAQ and Databases- Optimization algorithms development and implementation, e.g., automatic optimization of a laser pulse- Physical processes simulations also using HPC, MPI, and GPU interfaces- R&D for the design of auxiliary accelerator components, e.g., compensating quadrupoles- Tuning and maintenance of electronic control units of the accelerator.- Accelerator maintenance and operation.- Electron beam characterization, e.g. beam transport, beam momentum measurements, beam - charge measurements, emittance measurements using the single slit-scan technique, etc.- Supervision of students.

- Development and simulations of RF units for electrophysical devices, e.g. particle accelerators. - Simulations of physical processes in electrophysical devices. - Computer code development for multipacting simulations.