Curriculum Vitae

Education

• B.Sc-M.Sc in Physics, Institute of Technology Kharagpur 2007-2012
• Ph.D in Nuclear Physics, University of Illinois at Urbana-Champaign, 2012-2020

Research experience

• Research Assistant, University of Illinois, Urbana-Champaign
  • Ph.D. Thesis: “Measurement of high-mass dimuon production for p+p and p+d collisions with 120 GeV proton beam at Fermilab”
  • Conducted data extraction, transformation, loading (ETL), and quantitative analysis using MySQL, CERN-ROOT (C++) and FORTRAN.
  • Enhanced and maintained Monte Carlo C++ code for modeling signal and background.
  • Improved the simulation which led to a reliable method for separating signal from background.
• Research Intern, University of Massachusetts, Dartmouth
  • Utilized FORTRAN 90 codebase to conduct simulations for understanding the hydrodynamics of giant molecular clouds (acknowledged in the group’s publication)
• Research Intern, Raman Reserach Institute, Bangalore
  • Implemented MATLAB code to replicate findings of an astrophysics research paper on non-thermal Sunyaev–Zel’dovich effect in clusters of galaxies.

Projects

• Pneumonia detection from chest x-rays using Convolutional Neural Networks
  • Processed NIH chest x-ray dataset of dicom x-ray files and radiological report attributes.
  • Implemented computer vision deep neural network architecture to classify x-rays.
• Statistical analysis of housing prices and recession across US locations
  • Performed cleaning, transformation, and merging of Zillow’s housing data, university towns from Wikipedia, and GDP data from the US department of commerce using Pandas.
  • Utilized hypothesis testing via t-test to identify effect of recession in housing prices in university towns.
• Trolling, Aggression and Cyber-bullying Content Identification
  • Joint work with Sudhanshu Mishra and Shubhanshu Mishra
  • Used fine-tuning of multi-lingual transformer neural network with joint training training on different languages and joint labelling of multiple tasks.
  • Our approach came 2nd and 4th in 2 sub-tasks and 3rd in 4 of the 6 sub-tasks.
  • Code: github.com/socialmediaie/TRAC2020
• Hate Speech Identification
  • Used fine-tuning of multi-lingual transformer neural networks, multi-task models and Back Translation.
  • Published in the Proceedings of the 11th annual meeting of the Forum for Information Retrieval Evaluation.
  • Extension of this work has been submitted to “Springer Nature Computer Science” journal.
  • Code: [github.com/socialmediaie/MTML_HateSpeech]

Publications

Multilingual Joint Fine-tuning of Transformer models for identifying Trolling, Aggression and Cyberbullying at TRAC 2020. Permalink

The SeaQuest spectrometer at Fermilab Permalink

Exploring Multi-Task Multi-Lingual Learning of Transformer Models for Hate Speech and Offensive Speech Identification in Social Media . Permalink

The asymmetry of antimatter in the proton Permalink

Talks

• Probing the parton structure in nucleon and nuclei at SeaQuest
  • Gordon Research Conference, Holderness, New Hampshire, Aug 2018.
• Dark Photon Search with Drell-Yan-Like Process
  • American Physics Society (Division of Nuclear Physics), Santa Fe, New Mexico, Oct 2015

Teaching

• Fall 2012: PHYS 212 (Electricity and Magnetism)
• Spring 2013: PHYS 212 (Electricity and Magnetism)
• Summer 2013: PHYS 213 (Thermal Physics)
• Spring 2014: PHYS 575 (Particle Physics)

Awards

• 2018, Puzzle Bang 2nd runner-up, Reflection & Projections, University of Illinois at Urbana-Champaign
• 2017, Felix T. Adler prize, University of Illinois at Urbana-Champaign
• 2012, Institute Silver medal, IIT Kharagpur
• 2012, Department gold medal, IIT Kharagpur
• 2012, Sharmila Bose memorial prize, IIT Kharagpur
• 2012, H.N. Bose memorial prize, IIT Kharagpur
• 2008-12, Inspire Scholarship, Department of Science & Technology, Govt. of India