Biography

Prof. Supriya is Assistant Professor in the Department of Computer Science and Engineering of the College of Engineering Roorkee, Roorkee .She received her B.Tech degree from the College of Engineering Roorkee (UPTU) in year 2006 and M.Tech degree from AMITY University,Noida in year 2010. Presently she is pursuing her Ph.D. form Graphic University, Dehradun. She has academic experience for thirteen years. Since 2011, she has been with COER. Her research interests include Machine Learning, Deep Learning, Data Science. Over her distinguished career, he has authored 15+ research papers , Book Chapters.

Publications

• Supriya, A. Shukla and M. Manchanda, "Inertial Sensor Based Human Activity Identification System Using CNN-LSTM Deep Learning Technique," 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) 2023.
• Supriya, Ashutosh Shukla, "Precision Agriculture based Intelligent system for early stage Cherry Leaf Disease Identification," International Conference on Machine Learning and Data Engineering (ICMLDE) 2023, ACCEPTED.
• Supriya, Ashutosh Shukla, Mahesh Manchanda, "A Survey paper on precision agriculture based intelligent system for plant leaf disease identification," INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS (ICAIA-2023), April 21-22, 2023.
• Supriya, Ashutosh Shukla, "Machine Learning Approach for Classifying Paddy Crop Diseases," MukthShabd Journal, ISSN NO: 2347-3150, MSJ Volume IX, Issue VII, JULY 2020, CARE UGC APPROVED.
• Supriya, "A Study on Deep Learning Technology for Cultural Event," International Conference on Soft Computing, Artificial Intelligence and Applications (SAI-18), CARE UGC APPROVED.

Awards and Achievement

• 10 years of service at COER University have been marked by dedication, excellence, and a unwavering commitment to student success.
• NPTEL Course “Introduction to Machine Learning”, July-Sept 2022, 80% (among Top 5%, flashed under NPTEL Star).
• Faculty Development Program “Machine Learning for Soil and Crop Management”, NPTEL, Jan-April 2022, 78% (Silver & Elite Badge).
• Faculty Development Program “Python For DataScience”, conducted by NPTEL, 2021, 78% (Silver & Elite Badge).
• Faculty Development Program “Fundamentals of Python”, conducted by NPTEL, 2020, 86% (Silver & Elite Badge).