Ms. Mayuri Gupta

Biography

• Mrs. Mayuri Gupta joined Jaypee Institute of Information Technology, Noida, in July 2023. She pursuing her Ph.D. in the Department of Computer Science and Engineering at Jaypee Institute of Information Technology (JIIT-Noida). Prior to that, she completed her M.Tech with a specialization in Computer Science and Engineering from Jaypee Institute of Information Technology (JIIT-Noida). She acquired an Engineering degree in the discipline of Computer Science from Inderprastha Engineering College (IPEC) in Uttar Pradesh.
• She played an instrumental role in organizing and coordinating several activities, such as workshops, industrial visits, intercollege quizzes, and expert sessions. Notably, she actively volunteering the organization of the international conference on Contemporary Computing (IC3-2022, IC3-2023).
• As a Ph.D. scholar, she made pioneering efforts in domain of Artificial Intelligence in Healthcare. Additionally, she contributed to the DGX Workstation at JIIT Noida under the supervision of her supervisor.

Educational Qualifications

• Completed B.Tech from Inderprastha Engineering College (IPEC) in 2019 affiliated by AKTU.
• Completed M.Tech from Jaypee Institute of Information Technology (JIIT-Noida) in 2021.
• Pursuing Ph.D from Jaypee Institute of Information Technology (JIIT-Noida).

Work Experience

• Jaypee Institute of Information Technology, Noida (U.P.) -- Assistant Professor – July 2023-Present
• Research Teaching Assistantship (TA) -- Jaypee Institute of Information Technology, Noida (2021-2023)

Interest Area 

• Machine learning and Deep learning
• GPU Computing
• Computer Vision
• Medical Image Segmentation
• Object-Oriented Programming
• Database Management System

Publications

• A Systematic Review of Deep Learning based Image Segmentation to Detect Polyp,” The Journal of Artificial Intelligence Review (SCI, Q1, IF-12.0)
• AB-DeepLabv3+: An Encoder-Decoder Method with Attention Mechanism for Polyp Segmentation,” The Fifteenth International Conference on Contemporary Computing (IC3), ACM (Scopus)
• Multi-Class Autoencoder-Ensembled Prediction Model for Detection of COVID-19 Severity, Journal of Evolutionary Intelligence (SCI, IF-2.6), Springer
• Assessing Spatiotemporal Transmission Dynamics of COVID-19 Outbreak using AI Analytics, Conference of Doctoral Symposium on Computational Intelligence (DoSCI), Springer (Scopus)

Certification courses

Database Management System, NPTEL, IIT Kharagpur in 2018

Program Committee Member & Reviewer

Reviewer in the journal namely “IEEE Transactions on Artificial Intelligence.”