Wasikul Islam

My Research :

Combined performance studies at LHC :

  • The efficient identification of jets from bottom quarks (b-jets) is one of the~most important techniques for many physics analyses at the Large Hadron Collider, including studies of the Higgs boson, the top quark, and searches beyond the Standard Model. The performance is characterized by b-tagging efficiency (probability to identify a b-jet as such) and the mistag rate (probability to mistakenly accept a non-b-jet). So, mistag rate calibration has been a very important task for LHC as well. Currently I am developing a completely "new method" for light jet calibrations with the ATLAS detector of LHC.    

Physics Analysis at ATLAS detector of LHC :

  •  I am currently searching a new exotic particle W′ (W prime boson) which is  proposed by many of the extended gauge models. I am seraching this particle in the decay mode of  W′ → tb in all hadronic channel with the full run 2 data of ATLAS detector.

High Performance Computation/Machine Learning studies for LHC Physics :

  • As a Research Aide at  the 'High Energy Physics Center for Computational Excellence' (HEP-CCE) of Argonne National Laboratory and I am worked on the feasibility of using Deep Neural Network(DNN) in HEP problems, specifically for 'object classification', 'event recognition' with the ATLAS detector data. I have completed the project of Object recognition at Argonne National lab in Summer 2017 and currently working on more complicated problems. I performed these studies with the help of Super Computer Cori of NERSC facility of LBNL, Supercomputers Mira, Theta, Coolie, Jupyter of Argonne National lab.  More details of the study can be found here        
  •  I have been involved in a short project 'Secondary Vertex recontsruction using IP-RNN in ATLAS' at Stanford Linear Accelerator Center (SLAC) during my visit at SLAC / Stanford University in May, 2017.                                                                                                                                

 Detector upgrade studies for High Luminosity(HL)- LHC :

  • As 'ANL-ATLAS Graduate Fellow 2017'  and Resident Associate of Argonne National Laboratory for one year, my work is for a "High Luminocity-LHC" upgrade project on 'ITK Pixel R&D' using the testbeam facility at Fermi National Accelerator Laboratory .                                                                

Others ( ALICE detector & Masters project) :

  • And as an Intern at CERN in the ALICE experiment, I worked in Accelerator Physics in 2015. Apart from studying on accelerator physics and I also developed some tools for outreach activities of 'Accelerator Physics' to people of different age groups. I also created a CERN twiki page regarding that.                                                                                                                                                                                                                                               
  •  As a Masters student in India, I worked  on : 'Future Neutrino Oscillation Experiments' for my master's thesis. Where we did some calculations of 3 flavor neutrino oscillation in matter and in free space and we studied the future prospects of 23 Neutrino oscillation experiments which were about to start or just started at that time.


My current Research at Oklahoma State University with the ATLAS collaboration is explained in the following short video made in 2016 for university's official video channel Ostate.Tv :