Ms. Vaishali Sharma - Assistant Professor in JIIT

Assistant Professor

20402003@mail.jiit.ac.in

Biography

Vaishali Sharma is currently working as an Assistant professor in the Electronics and Communication Engineering Department at Jaypee Institute of Information Technology, Noida. Her academic background includes an M. Tech in Electronics and Communication Engineering from Ajay Kumar Garg Engineering College. Currently, she is pursuing Ph.D. in Artificial Intelligence and Deep Learning at Jaypee Institute of Information Technology (JIIT). With approximately 2 years of experience in academics, her primary areas of expertise revolve around Artificial Intelligence, Deep Learning, and Machine Learning. Additionally, she has authored numerous research papers presented at various national and international journals/conferences.

Educational Qualifications

Ph.D. (Pursuing) , JIIT, Noida Area- Artificial Intelligence, Machine Learning, and Deep learning
M.Tech , Ajay Kumar Garg Engineering College, Ghaziabad
B.Tech , Raj Kumar Garg Engineering College, Ghaziabad

Work Experience

2 years Assistant Professor in HRIT Group of Institutions

Interest Area

Machine Learning
Artificial Intelligence
Deep Learning
Computer Vision

Publications

V. Sharma and N. Singh, "Deep Convolutional Neural Network with ResNet-50 Learning algorithm for Copy-Move Forgery Detection," 2021 7th International Conference on Signal Processing and Communication (ICSC), Noida, India, 2021, pp. 146-150,Link
Vaishali, S., Neetu, S. Enhanced copy-move forgery detection using deep convolutional neural network (DCNN) employing the ResNet-101 transfer learning model. Multimed Tools Appl (2023).Link
V. Sharma, N. Singh and S. Kalra, "Robust Prediction of Copy-Move Forgeries using Dual-Tree Complex Wavelet Transform and Principal Component Analysis," 2022 8th International Conference on Signal Processing and Communication (ICSC), Noida, India, 2022, pp. 491-497.Link
V. Sharma, N. Singh and R. Prasad, "Assessing YOLOv8 as a Classifier for Detection of Synthetically Generated Facial Imagery," 2024 11th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, 2024, pp. 99-104, doi: 10.1109/SPIN60856.2024.10511616.
link
V. Sharma, N. Singh, R. Prasad and S. Kalra, "Decoding Image Integrity: A Comprehensive Analysis of YOLOv8’s Performance for Detecting Copy-Move Forgery," 2024 11th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, 2024, pp. 93-98, doi: 10.1109/SPIN60856.2024.10511495.
Link

Patent

PROFIT ANALYSIS FOR MULTISTAGE COMPRESSOR WITH MULTI EVAPORATOR TYPE TEMPERATURE SYSTEM
Application No.202411031293 A
Date of filing of Application :19/04/2024
Publication Date : 10/05/2024