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Dr. Archana Sharma

Dr. Archana Sharma

Assistant Professor , Computer Science & Applications (CSA)

archana.sharma@sharda.ac.in

About

Dr. Archana Sharma is currently working as an Assistant Professor in the Department of Computer Science and Application at Sharda School of Engineering & Technology, Sharda University,Greater Noida, India. She completed her M.Tech. in Information Technology in 2010 and her MCA in 2003. She is pursuing Ph.D. from Jaypee Institute of Information Technology, Noida. She is a llife member of ISTE. She has published more than eight research papers in reputed international journals/conferences and book chapter. She has also reviewed many research articles for reputed conferences. She has one patent published. She has Published book titled “Computer Graphics” with Pearson Education. Her main research work focuses on Optimization, Soft Computing, and Software engineering. She has 21 years of teaching experience.

Experience
  • 22 years
Qualification
  • MCA
  • M.Tech.
  • Ph.D (CSE)
Award & Recognition

  • Certificate of appreciation for organizing Technical and Cultural Fest.

Research

Total Research papers- 9, 2 Patent published,

  • Sharma, A. and Rajpoot, D.S., 2024. A memetic approach for optimizing software effort estimation using anti-predatory NIA.International Journal of Information Technology, Springer 16(2), pp.641-649.
  • Sharma, A., Phulwani, H., Gupta, A. and Singh, A.P., Fingernail Image-Based Health Assessment Using a Hybrid VGG16 and Random Forest Model. Evergreen, Vol.11, Issue 4, 2024.
  • A. Sharma and D. S. Rajpoot, "A DNN Anti-Predatory Algorithm-Based Model to Enhance the Efficiency of Software Effort Estimation," Int. J. Performability Eng., 2024.
  • Sharma, A., Saxena, A., Kumar, A. and Singh, D., 2024, March. Depression Detection Using Multimodal Analysis with Chatbot Support. In 2024 2nd International Conference on Disruptive Technologies (ICDT) (pp. 328-334). IEEE.
  • Sharma, A., Mittal, K., Kumar, S., Sharma, U. and Upadhyay, P., 2022. Impact of Artificial Intelligence and Machine Learning in the Food Industry: A Survey. In Artificial Intelligence Applications in Agriculture and Food Quality Improvement (pp. 190-215). IGI Global.

Certifications

  • NPTEL Elite Certificate in DBMS with SQL.
  • Certificate in “R Language” from Course Era

Area of Interest

  • Optimisation
  • Nature Inspired Computing
  • Software Engineering
  • Soft Computing