Leonid Didukh

Research and benchmark of the application of VLM and LLM solution for fast OCR.

Participated in ML Education Program, coding scripts for pipeline product review summarization using Databricks.

Research about the overfitting problem, constrained neural network, and link to thermodynamics and statistical physics. Development of the web-chat for QA.

Profiled and estimated the energy consumption, calculated CO(2) emission of AI-based scientific data compression framework. Research and analysis of different profilers for CPU and GPU.

Benchmark of the motif search algorithm of DNA, RNA, and Peptides sequences utilizing GPU.

Participated in research of the biggest particle experiment at the LHC, conducting research with machine learning algorithms.

In-depth studies related to physics at the Terrascale.

Exploration of Higgs physics and Beyond the Standard Model.

Summer school focusing on machine learning applications for High Energy Physics.

Summer school centered on Supersymmetry.

Master Thesis: Effect of anisotropy in the black body radiation pressure on the metal nanoparticle.

Bachelor Thesis: Non-linear dynamics of dipole moments and inverse population of a three-level atom interacting with a two-mode field.