Dr. Archana Sharma

About

Dr. Archana Sharma is currently working as an Assistant Professor in the Department of Computer Science and Application at Sharda School of Computing Science & Engineering, Sharda University, Greater Noida, India. She completed her M.Tech. in Information Technology in 2010 and her MCA in 2003. She has done Ph.D. from Jaypee Institute of Information Technology, Noida. She is a member of IEEE and holds lifetime membership in ISTE. She has published numerous research papers in reputed international journals/conferences and book chapter. She is a reviewer of many professional organizations like IEEE, Springer. She has many patents to her credit. She is an author of the book “Computer Graphics”, published by Pearson Education. Her main research work focuses on Machine Learning, Deep Learning, Optimization, Soft Computing, and Software engineering. She has 22 years of teaching experience.

Experience

• 22 years

Qualification

• MCA
• M.Tech.
• Ph.D (CSE)

Award & Recognition

Research

15+

List of Publications:

• Sharma, A., Memoria, M., Yadav, S., Agrawal, A.P., Kuar, K., Punhani, A. and Dubey, G., 2025. DiEff-MSwinNet: Dilated EfficientNet Based Multi-Scale Swin Transformers for Spectrogram-Powered Epileptic Seizure Detection in Real Time. Knowledge-Based Systems, p.114927.
• Sharma, A. and Rajpoot, D.S., 2025. An adaptive anti-predatory algorithm-based model to enhance the efficiency of software effort estimation. Innovations in Systems and Software Engineering, pp.1-17.
• Sharma, A. and Rajpoot, D.S., 2025. A DNN Anti-Predatory Algorithm-Based Model to Enhance the Efficiency of Software Effort Estimation. International Journal of Performability Engineering, 21(1).
• Sharma, A., Phulwani, H., Gupta, A. and Singh, A.P., 2024. Fingernail Image-based Health Assessment Using a Hybrid VGG16 and Random Forest Model, 3204-3212
• 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., Sharma, A., Tripathi, A., & Chaudhary, A. (2024, March). Real Estate Registry Platform Through NFT Tokenization Using Blockchain. In 2024 2nd International Conference on Disruptive Technologies (ICDT) (pp. 335-340). IEEE.
• 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. and Rajpoot, D.S., 2022, April. A frog based nature inspired algorithm for solving optimization problem. In 2022 1st International Conference on Informatics (ICI) (pp. 1 6). 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.

Patent:

• “Security and Surveillance Systems Using IoT”, Application Number-202211040976
• “Activity-Based Travel Demand Modelling System Using Apache Kafka and Spark” Patent Application Number-202411060717

Certifications

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

Area of Interest

• Machine Learning
• Deep Learning
• Optimisation
• Nature Inspired Computing
• Software Engineering
• Soft Computing