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portfolio

publications

Go Wide, Go Deep: Quantifying the Impact of Scientific Papers Through Influence Dispersion Trees

Published in ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2019

A new way to measure the influence of a paper. We beat raw citation count in predicting the popularity of the articles.

Recommended citation: D. Mohapatra*, A. Maiti*, S. Bhatia and T. Chakraborty, "Go Wide, Go Deep: Quantifying the Impact of Scientific Papers Through Influence Dispersion Trees," 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), Champaign, IL, USA, 2019
Best Paper Nominee,Best Student Paper Winner Paper (PDF)

talks

teaching

Data Structures & Algorithms

Undergraduate course, Dept. of CSE, IIIT Delhi, 2019

Teaching Assistant for Data Structures & Algorithms

  • Instructor: Prof. Rahul Purandare
  • Class Size: ~350 Students (Freshmen)
  • Duties: Grading sheets, holding tutorials, doubt clearing sessions & office hours.

Machine Learning

Undergraduate course, Dept. of CSE, IIIT Delhi, 2019

Teaching Assistant for Data Structures & Algorithms

  • Instructor: Prof. Jainendra Shukla
  • Class Size: ~135 students (Juniors & Seniors)
  • Duties: Grading sheets & projects, holding tutorials, doubt clearing sessions & office hours.