Nibhanupudi Sai Srithaja
Faculty Associate
saisrithaja.nibhanupudi@mahindrauniversity.edu.in
Nibhanupudi Sai Srithaja is currently working as a Faculty Associate in the Department of Computer Science & Artificial Intelligence at Mahindra University, Hyderabad.
She received her B.Tech. degree in Computer Science & Engineering from Malla Reddy Institute of Technology, Hyderabad, and her M.Tech. in Computer Science & Engineering at VNR Vignana Jyothi Institute of Engineering & Technology, Hyderabad. She is pursuing her Ph.D. in Computer Science & Engineering at Mahindra University.
Prior to joining Mahindra University, she served as an Assistant Professor at VNR Vignana Jyothi Institute of Engineering & Technology for more than a year. Her research interests include Machine Learning, Deep Learning, Soft Computing, Quantum Computing, and Big Data.
Ph.D.
- Ph.D.- January 2024 to Present Mahindra University
M.Tech
- M.Tech – October 2019 to January 2022 VNR Vignana Jyothi Institute of Engineering and Technology
B. Tech
- B. Tech – August 2015 to June 2019 Malla Reddy Institute of Technology
Faculty Associate
- Faculty Associate Mahindra University August 2023 to Present.
Assistant professor
- Assistant Professor VNR Vignana Jyothi Institute of Engineering and Technology April 2022 to July 2023.
Publications
2023
- N Sai Srithaja, Dr N Sandhya, Dr ABN. Reddy, A. (2023) published “MachineLearning Framework for Stagewise Classification of Alzheimer’s Disease”, In: Kumar, A., Ghinea, G., Merugu, S., Hashimoto, T. (eds) Proceedings of the International Conference on Cognitive and Intelligent Computing. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-19-2358-6_28
- K Hari Priya, G Laxmi Deepthi, K Bhagya Rekha, N Sai Srithaja, N Lakshmi Kalyani published Smart Accident Prevention and Identification System in International Journal for Research in Engineering Application & Management (IJREAM) with Impact Factor 7.427.
- K Hari Priya, G Laxmi Deepthi, K Bhagya Rekha, N Sai Srithaja published An Automated Timetable Generator for College in International Journal for Research in Engineering Application & Management (IJREAM) with Impact Factor 7.427.
Quantum Machine Learning, Quantum Evolutionary, Machine Learning, Soft Computing, Deep Learning, Big Data, Image Processing.
