Shikha Gupta, Ph.D.

Areas of Expertise

  • Social Network Analysis
  • Quantum-inspired Computing
  • Evolutionary algorithms
  • Parallel computing
  • Deep learning
  • Process mining

Shikha Gupta, Ph.D.

Assistant Professor

What is the purpose of life? If one were to express this in just a word, it would have to be “happiness”. The purpose of education must therefore accord with the purpose of life.


Dr. Shikha Gupta has a rich experience that spans almost two and a half decades. She worked as a software analyst in her early career and later involved herself in teaching and research. Her present research interests include quantum-inspired computing and deep learning.


  • Ph.D. “Community Detection in Social Networks: A Quantum-inspired Evolutionary Approach”. Computer Science, University of Delhi, Delhi, India, 2017.
  • M.Phil. “Rule Mining Using Formal Concept Analysis”. Computer Science, Madurai Kamraj University, India, 2009.
  • M.C.A., University of Delhi, Delhi, India, 1997.


  • Kundu, S., Agarwal, M., Gupta, S. & Kumar, N. (accepted for publication). MOEA for Discovering Pareto-optimal Process Models: An Experimental Comparison. International Journal of Computational Science and Engineering. Scopus, ESCI Indexed.
  • Sonia, Agawal, M., Gupta, S., & Kumar, N. (2018). Discovering Pareto-optimal Process Models: A Comparison of MOEA Techniques. ACM Genetic and Evolutionary Computation Conference (GECCO). H5-index 30.
  • Gupta, S., Mittal, S., Gupta, T., Singhal, I., Khatri, B., Gupta, A. K., & Kumar, N. (2017). Parallel quantum-inspired evolutionary algorithms for community detection in social networks. In Applied Soft Computing, Volume 61, 2017, Pages 331-353, ISSN 1568-4946. H-index 97. SJR 1.2. IF 3.9. Scopus, SCI Indexed.
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