Dr. Priya Kumari

Associate Professor

Ph.D., IIT (ISM) Dhanbad, India

M.Tech. & B.Tech., NIT Jamshedpur & BIT Mesra, India

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About

Dr. Priya Kumari is an Associate Professor in the Computer Science & Information Technology Area at YBN University, Ranchi. She holds a Ph.D. from IIT (ISM) Dhanbad, where her doctoral dissertation on privacy-preserving machine learning in resource-constrained environments earned the Director’s Gold Medal.

She completed her M.Tech. from NIT Jamshedpur and B.Tech. from BIT Mesra, Ranchi. With over 12 years of teaching and research experience, Dr. Kumari has made significant contributions to the fields of machine learning, healthcare informatics, and natural language processing for Indian languages.

She has published extensively in IEEE, Springer, and Elsevier journals, and her work has been presented at leading international conferences. Beyond academic research, she is a regular contributor of op-eds on technology policy and digital India themes.

Teaching Areas

Core Courses

Data Structures & Algorithms
Machine Learning Fundamentals
Advanced Deep Learning
Cloud Computing & DevOps
Database Management Systems
Operating Systems

Training & Consulting

AI & ML for Industry Applications
Big Data Analytics
Cyber Security Fundamentals
Digital India & Tech Policy
Open-Source NLP Tooling
Research Methodology in CS

Research Area

Primary Areas

Machine Learning
Healthcare Informatics
Natural Language Processing
Federated Learning
Cloud Computing
Artificial Intelligence

Current Research Interests

Privacy-Preserving AI
Low Resource Language Processing
Healthcare Data Analytics
Intelligent Educational Systems
Human-Centered AI

Publications

Journals

Kumari P., Singh R., Sharma A. (2024). A hybrid LSTM-Transformer model for early detection of diabetes using electronic health records in resource-limited settings.

IEEE Transactions on Biomedical Engineering, 71(4), 1123–1138. https://doi.org/10.1109/TBME.2024.0012

Kumari P., Das M. (2023). Morphology-aware NLP pipeline for low-resource Santali and Mundari language processing.
ACL Findings 2023, Toronto. Best Paper Nominee.

Verma S., Kumari P. (2023). Energy-aware task scheduling in heterogeneous cloud environments using reinforcement learning.

Elsevier Journal of Network and Computer Applications, 214, 103582. https://doi.org/10.1016/j.jnca.2023.103582

Book Chapters

“Privacy-Preserving AI in Healthcare: Challenges for Emerging Economies”, in Sinha R. (ed.), AI Ethics and Governance in South Asia, New Delhi: Springer India, 2023 (with Abhisek Roy).

Op-Eds & Columns

AI in Rural India: Promise and Pitfalls.
Why Tribal Language NLP must be a National Priority.
Rethinking Data Governance for Federated Healthcare Systems.

Awards

Best Researcher Award 2023 — YBN University.
DST-SERB Early Career Research Award.
Director’s Gold Medal — IIT (ISM) Dhanbad.
Best Faculty Award — Computer Science Department.

Education

Ph.D. — Computer Science
IIT (ISM) Dhanbad
2015

M.Tech. — Computer Science
NIT Jamshedpur
2010

B.Tech. — Information Technology
BIT Mesra, Ranchi
2008

Research Metrics

62

Publications

1840

Citations

22

H-Index

18

PhD Students