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Dr. Anuj Kumar

Dr. Anuj Kumar

Assistant Professor, Computer Science & Engineering (CSE)

Anuj.kumar15@sharda.ac.in

About

Dr. Anuj Kumar is working as an Assistant Professor in Department of Computer Science and Engineering at school of Engineering and Technology, Sharda University, Uttar Pradesh, India. He received his Postgraduate Degree (M-Tech in Software Engineering) from G.B.U. G.B.Nagar. and his Doctorate Degree (PhD Computer Science and Engineering) from A.K.T.U. Lucknow, India. He has a good experience of teaching and Industry exposure as well and currently performing active research in the area of Software Testing, AI & Machine Learning.

Experience
  • 10 Years
Qualification
  • Ph.D.  (Computer Science and Engineering)
  • M.Tech (Software Engineering)
  • MCA
Research

  • Anuj Kumar et al., Environmental Adaption Method: A Heuristic Approach for Optimization, International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, Indexed in ESCI, 2019.
  • Anuj Kumar et al., Modified Differential Evolutionary Algorithm and its Application in Test Case Generation, Journal of Multiple-Valued Logic & Soft Computing, Indexed in SCI, 2019.
  •  Anuj kumar et al., Regression Testing: A Study on Nature Inspired Algorithms Applications , 4th International Conference on Recent Advancements in Computer Communication & Computational Science (RACCCS), Ajmer, India, 2019.
  • Anuj Kumar et al., Environmental Adaptation Method: A Heuristic Application for Optimization , 4th International Conference on Recent Advancements in Computer Communication & Computational Science (RACCCS), Ajmer, India, 2019.
  •  Anuj Kumar et al., Modified Environmental Adaptation Method and its Application in Test Case Generation, Journal of Engineering Science and Technology Review, Indexed in SCOPUS, 2018.
  • Anuj Kumar et al., Mutation Operators: A Critical Review, National Conference on Advancements in Communication, Computing and Signal Processing, Greater Noida, 2011.
  •  Anuj Kumar et al., An Approach for Modelling Security as a Service (SAAS) in ServiceOriented Architecture, National Conference on Emerging Trends in Control, Communication, and Computer Science, Rajasthan, 2011.
  •  Anuj Kumar et al., Classification of Software Quality Attributes for Service-Oriented Architecture, International Conference of High Performance Architecture and Grid computing, Springer, Punjab, July 2011

Area of Interest

  • Software Engineering
  • Software Testing
  • AI
  • Machine learning