Apar Agarwal

Led a collaborative effort with the ALICE Group at CERN, Switzerland, involving a team of 7 scientists to assess the performance of in-house developed detectors. Spearheaded the acquisition, management, logging, and analysis of ~30 TB of data. Contributed to a 100+ member team at GSI SIS 18 in Germany, overseeing the collection, storage, and analysis of 200+ TB of heavy-ion collision data using multiple detector prototypes. Conducted groundbreaking research at extreme collision rates of ~10 MHz. Introduced and implemented a pioneering mixed event technique to enhance spatial correlation in large muon chamber data (80 X 40 cm grid) within CBM collaboration, marking its first-ever application. Enhanced two C++ classes for the CBMROOT project, contributing improvements to the codebase. Assumed full management responsibility of the "Much Macros" project for the CBM-India group on GITLAB. Simulated the CBM-Muon chamber setup with GEANT Software, achieving a lifelike environment with 1 mm precision. Designed a groundbreaking algorithm to optimize data storage for heavy-ion collision experiments, reducing space and time complexities by up to 20%. Optimized historical data analysis by eliminating a step, saving approximately 15% in time and enhancing data clean-up flexibility.

Contributed as an experimental high-energy physicist for over 5 years. Led 3D modeling projects, advanced simulations, data analysis, detector development and testing, and construction of physics models for investigating strangeness in heavy-ion collisions for 3+ major research experiments.