About Me

I'm currently a PhD candidate at the Department of Library and Information Science, University of Delhi, India. My PhD thesis, "Analyzing Trends in Electronic Theses and Dissertations: 100 years of Library and Information Science", is the first doctoral thesis in India that focuses on the application of computational methods such as topic modeling, network analysis, and machine learning in the field of library and information science (LIS). As the number of textual data, including ETDs, increases exponentially every day over the web, the issue of organizing, managing, and disseminating information poses a challenge. My PhD research aims to forward a solution to the above problem by applying topic modeling, network analysis, and machine learning to the ETDs submitted to the ProQuest Dissertations and Theses (PQDT) Global database from 1903 to 2020. I’m particularly interested to identify the highly-and-under researched areas in LIS over 100 years and understand the evolution of LIS discipline in different countries. I’m currently working on developing a website that will allow readers to explore the topic modeling results from my published papers/projects.

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In addition to my thesis research, I am also fascinated to use computational methods to analyze digital trace data. In 2018, I published a paper where I analyzed twitter data for 20 different facets of economic productivity. Recently in June 2020, I was selected to attend a two-week research-based summer-program in computational social science (SCISS 2020) that covered automated text analysis, website scraping, digital field experiments, non-probability sampling, mass collaboration, ethics, machine learning, network analysis, and many other issues. Currently, I am working on four different research projects besides my doctoral research. In addition to these projects, I have worked as a teaching assistant in my department.