Ongoing doctoral supervision
Search for Di-Higgs Production in Final States with Tau Leptons Using the CMS Experiment at the LHC
- Nalong-Norman Seeba
- doctoral project · Started 2023 · Co-supervised with Torben Lange
- Related research: ParticleTransformer is all you need for reconstructing hadronic tau leptons · A unified machine learning approach for reconstructing hadronically decaying tau leptons
Numerical Study of Processes in the Early Universe
- Martin Vasar
- doctoral project · Started 2022 · Co-supervised with Hardi Veermäe and Margus Saal
- Related research: Dynamics of false vacuum bubbles with trapped particles
Completed theses and projects
2026
Development of a Real-Time Drone Detection System for Video Streams
- Ekke Jaak Valge
- bachelor thesis · Applied Physics, TalTech
2025
Probing the Milky Way’s Dark Matter Halo in the Gaia and Machine Learning Era
- Sven Põder
- doctoral thesis · Co-supervised with María Benito Castaño
- Related research: On the detection of stellar wakes in the Milky Way: a deep learning approach · Sensitivity Estimation for Dark Matter Subhalos in Synthetic Gaia DR2 using Deep Learning
2024
Applying Machine Learning to Classify Hadronic Decay Channels of Tau Particles in a Simulated Accelerator Experiment
- Hardi Vanaveski
- bachelor thesis · Applied Physics, TalTech
- Related research: A unified machine learning approach for reconstructing hadronically decaying tau leptons
2022
Searching for Dark Matter Subhaloes with a Classification Algorithm
- Abdullah Bazarov
- master thesis · Co-supervised with María Benito Castaño · TalTech
- Related research: Sensitivity Estimation for Dark Matter Subhalos in Synthetic Gaia DR2 using Deep Learning
Anomaaliate otsimine kõrge energia füüsikas masinõppe abil
- Aadi Tepper
- bachelor thesis · TalTech
For potential research collaboration involving student projects, get in touch.