Nikita Popkov — M.Sc Computer Science
M.Sc. Computer Science — Applied ML & Physical Systems
Kassel-based researcher focused on machine learning for physical systems, time series, and real-time experimentation.
European XFEL, Hamburg
Implemented and tested AI models directly on the linear accelerator, built a live experimental data pipeline, and delivered real-time predictions in an international and -disciplinary team. Stayed for three weeks and participated in two beamtimes.
BMBF Forschungsprojekt
Developed machine learning models to predict laser pulse characteristics and supported quality assurance across an international research team.
University of Kassel
Co-developed a physics experiment control framework and trained AI models to detect magnetic particles and track their trajectories under a microscope.
BMBF Forschungsprojekt
Built a custom diffusion-based model for synthetic household load time series generation and evaluated it on German and UK energy datasets.
University of Kassel — Nikita Popkov
Research on iterative, experiment-driven model improvement for physical systems, with emphasis on feedback stability and real-data constraints. Developed a TANGO based device network structure that allows real-time feature extraction and experimental analysis.
University of Kassel — Nikita Popkov
Investigated denoising diffusion probabilistic models for time series, with application to energy load data cleaning and synthetic generation. Building own DDPM model architecture, training the model on a set of german household data and evaluating it against a set timeframe.
A terminal-to-terminal encrypted chat protocol implementing X3DH key agreement and the Double Ratchet algorithm for state-of-the-art message encryption.
Automated data retrieval and analysis for financial products. Processes daily price movements for information extraction, generates forecasts from historical data, and autonomously executes buy/sell decisions based on extracted signals.
Photogrammetry pipeline that converts photos of objects into 3D models using Meshroom, post-processed in Blender, and printed as miniatures on a 3D printer.
A collection of projects to make the home smarter — an e-ink display for calendar, weather, and shopping lists; controllable lighting; and a mini ESP display for videos and images; as well as setting up a home assistent via hermes agents.