Priti Kumari

Priti Kumari is working as a Head of Department and Associate Professor in the Department of Computer Science & Engineering at Ashoka Institute of Technology & Management, Varanasi, Uttar Pradesh, India. She has received the MCA degree from the Banasthali University, Rajasthan, India and M.Tech degree in Computer Science & Engineering from the Banasthali University, Rajasthan, India. She has completed her Ph. D. from Jaypee Institute of Information Technology (JIIT), Noida, India. She has a total of 8 years’ experience in Industry, Teaching and Research. She has received many awards and recognition for her research and academic contributions. She has published 8 original research works in International journals indexed in SCI, Scopus and UGC etc. She has presented 15 papers in National/International conferences/seminar. She has published 5 book chapters and 3 patents in the field of Fog Computing, Artificial Intelligence, Machine learning and IoT. Her research interests include Distributed Computing, Cloud Computing, Fog Computing, Fault Tolerance, IoT, Artificial Intelligence, Machine Learning, Deep Learning and Recommender System.

Publications

Amalgamation of Optimization Algorithms With IoT Applications
Amalgamation of Optimization Algorithms With IoT Applications
Vandana Dubey, Priti Kumari, Kavita Patel, Shikha Singh, Sarika Shrivastava. © 2024. 29 pages.
The integration of optimization algorithms with IoT (internet of things) applications presents numerous benefits and diverse applications. Optimization algorithms help enhance...
An Adaptable Approach to Fault Tolerance in Cloud Computing
An Adaptable Approach to Fault Tolerance in Cloud Computing
Priti Kumari, Parmeet Kaur. © 2023. 24 pages.
Existing fault tolerance approaches in the cloud are broadly based on replication and checkpointing. Each of these approaches has its advantages and limitations. This paper...
Nitty-Gritty of Deep Reinforcement Learning for the Healthcare Sector
Nitty-Gritty of Deep Reinforcement Learning for the Healthcare Sector
Vaishnavi Kumari, Vandana Dubey, Priti Kumari, Rishabh Pal, Sarika Shrivastava, P. T. N. Anh. © 2023. 17 pages.
Deep reinforcement learning (DRL) is one of the emerging areas of machine learning which focuses on maximized rewards. DRL is a type of machine learning that combines...