Dr. TUHIN MALIK completed the Ph.D. in Physics in 2020 from Birla Institute of Technology and Science (BITS, India), Masters of Science (M.Sc) in 2014 from Indian Institute of Technology (IIT Dhanbad, India), and Bachelor in Physics Hons in 2011 by University of Calcutta (India). Is Researcher in Universidade de Coimbra Centro de Física. Published 16 articles in journals. Has 1 section(s) of books. Organized 2 event(s). Participated in 4 event(s). Has received 2 awards and/or honors. Participated as Ph.D. Student Fellow in 1 project(s) and Post-doc Fellow in 1 project(s). Works in the area(s) of Exact Sciences with emphasis on Physical Sciences with emphasis on Nuclear Physics and Exact Sciences with emphasis on Physical Sciences with emphasis on Particles and Fields Physics. Broadly, his research domain is theoretical Nuclear Astrophysics, particularly the physics of dense matter relevant for a neutron star. These stars are known to be natural laboratories to study and understand the cold dense matter at the extreme of conditions. An increasing number of detection of Gravitational Wave (GW) events such as GW170817, GW190425, and GW190814 observed by LIGO-Virgo collaboration has piqued the interest in nuclear and dense matter physics. The values of tidal deformability extracted from the GW event are expected to provide important information about the neutron star interior and the equation of state (EOS) of the dense matter. He has worked to constrain the values of various nuclear matter parameters that predominantly govern the behavior of the EOS through their correlations with the properties of the neutron stars such as radii, tidal deformability, and maximum mass of the neutron stars. He has also worked on a few other aspects of dense matter EOS, such as EOS with Hyperon and Antikaon for Supernova and Neutron Star Merger, EOS with dark matter, and EOS with a strong magnetic field. Presently he is working on the use of Machine Learning and Bayesian Inference to constrain dense matter EOS.
