Mrs. Mrunal Pravinkumar Fatangare

Bio

Research Area : Machine Learning, Healthcare Data Analytics

Areas of Expertise : Machine Learning, Data Structures, Database

Teaching Experience : 27 Years

Education : M.E (Pune University), Pursuing a PhD (MITWPU).

Publications

1. ESCI - 2026 International Conference on Emerging Smart Computing and Informatics - Non-invasive, Ayurveda-based Nadi Pariksha for Chronic Disorder Detection using an Adaptive Boundary Optimization Classifier

2. IRJMT- 2025 Investigating an Efficient Filter to Implement Automated Nadi Pariksha by Analysing Time and Frequency Domain Features with Machine Learning Approach — International Research Journal of Multidisciplinary Technovation 7(2), 223-244, 2025

3.JIST 2025 - A Holistic Approach to Stress Identification: Integrating Questionnaires and Physiological Signals through Machine Learning — Journal of Information Systems and Telecommunication (JIST) 2(50), 111, 2025

4.JAIM 2024 A comprehensive review on technological advancements for sensor-based Nadi Pariksha: An ancient Indian science for human health diagnosis — Journal of Ayurveda and Integrative Medicine 15(3), 100958, 2024 (Cited by 9)

Google Scholar link : https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=mrunal+fatangare&oq=mru

Scopus link : https://www.scopus.com/authid/detail.uri?authorId=57205630492

ORCID link : https://orcid.org/0000-0001-7271-8271

Linkedin : www.linkedin.com/in/mrunal-fatangare-30732b5a