Areas of Interest: Computer Vision, Deep Learning, Explainable AI
Education: MTech, Ph.D. (Pursuing)
E-mail: reenu.rajpoot@juet.ac.in
Contact No. : 09703423913
Reenu Rajpoot is an Assistant Professor in the Department of Computer Science and Engineering at Jaypee University of Engineering & Technology (JUET), Guna, India. She has over 8 years of teaching experience and is currently pursuing her Ph.D. from Maulana Azad National Institute of Technology (MANIT), Bhopal in the area of explainable deep learning for medical image analysis. Her research interests include Artificial Intelligence, Deep Learning, Explainable AI, and Computer Vision, with publications in SCIE/Scopus-indexed journals.
She completed her M.Tech. in 2013 from ABV-Indian Institute of Information Technology and Management Gwalior and her B.E. in 2010 from Madhav Institute of Technology and Science. Her academic background has supported her work in artificial intelligence and intelligent systems.
Her research focuses on developing deep learning and explainable AI-based models for healthcare applications, including COVID-19 diagnosis using CT scans and X-ray images, brain tumor classification, and automated disease detection. Her work has been published in reputed journals such as Scientific Reports journal, SN Computer Science journal, and Computers in Biology and Medicine journal. In addition to healthcare applications, she has also contributed to interdisciplinary research in IoT-based smart agriculture and greenhouse monitoring systems.
