Dr. Shilpa Snehal Sonawani

Bio

Associate Professor in the Department of Computer Engineering and Technology, has over two decades of combined teaching and industry experience. She works in the field of Artificial Intelligence, Data Analytics, and Sustainable Technologies. Her research focuses on AI-driven solutions for environmental sustainability, including air quality prediction, climate analytics, biodiversity monitoring and forest encroachment. She actively collaborates with BAIF Development Research Foundation and Bombay Natural History Society (BNHS), contributing to initiatives aligned with the Sustainable Development Goals (SDGs).

Her work integrates technology with ecological conservation and rural development, promoting data-driven approaches for sustainable agriculture, environmental monitoring, and community resilience.

She has published 45+ research papers, 7 patents (national & international) and contributed as a reviewer for reputed journals and conferences. Her work has been recognized with Best Paper Awards, Hackathon wins.

Professional Affiliations: LMISTE

Specialisation: Artificial Intelligence and Data Science

Areas of Expertise: AI-driven solutions for environmental sustainability, including air quality prediction, climate analytics, biodiversity monitoring and forest vegetation cover.

Teaching Experience: 26+ years of combined teaching and industry experience

Industry/Research Experience:

She actively collaborates with BAIF Development Research Foundation and Bombay Natural History Society (BNHS), contributing to initiatives aligned with the Sustainable Development Goals (SDGs).

Her work integrates technology with ecological conservation and rural development, promoting data-driven approaches for sustainable agriculture, environmental monitoring, and community resilience. She has published 45+ research papers, 7 patents (national & international) and contributed as a reviewer for reputed journals and conferences. Her work has been recognized with Best Paper Awards, Hackathon wins. Education

Ph.D: Ph.D. In Computer Engineering-Vishwakarma University, Pune

M.Tech: M.Tech from CDAC, IP University, Delhi.

B.Tech: B.Tech. In Computer Science and Engineering-COE Badnera, Amravati

Publications and Research Work:

1. Shilpa Sonawani; Kailas Patil,” Shilpa Sonawani; Kailas Patil, “Predicting Air Quality at new Air Quality Monitoring Station in Smart City using Novel Transfer Learning Based Framework” publication in Indonesian Journal of Electrical Engineering and Computer Science, Vol 32, No 2 , p-ISSN: 2502-4752, e-ISSN: 2502-4760 , DOI: http://doi.org/10.11591/ijeecs.v32.i2. pp1014-1021 (Scopus 2.9)(SJR 2022-0.272(SNIP 2022-0.528)(Q3) Nov 2023.

2. Shilpa Sonawani, Prawit Chumchu, Kailas Patil, “Multi_headed CNN_GRU model for Particulate Matter (PM2.5) Prediction in Smart Cities”, publication in International Journal of Environment and Waste Management, Inderscience, DOI: https://doi.org/10.1504/IJEWM.2023.133596,(Q3) (Scopus, ESCI), CiteScore 0.9 (2021),SJR(0.26), pp 257-272, vol 32, issue 3, September 21, 2023, ISSN: 1478-9876

3. Shilpa Sonawani; Kailas Patil, “Air Quality Forecasting at new Air Quality Monitoring Station using Transfer Learning Based Chaining Approach”, accepted for publication in AIMS ENVIRONMENTAL SCIENCE

4. Shilpa Sonawani, Kailas Patil, “Air Quality Measurement, Prediction and Warning Using Transfer Learning Based IOT System for Ambient Assisted Living”, publication in International Journal of Pervasive Computing and communications, Emerald Publication, Jan 2023, online published DOI: https://doi.org/10.1108/IJPCC-07-2022-0271, ISSN: 1742-7371(WOS, Q2). Volume 20 Issue 1 , Jan 2023.

5. Shilpa Sonawani, Kailas Patil, Prabhu Natarajan, “Biomedical Signal Processing For Health Monitoring Applications: A Review" for International Journal of Applied Systemic Studies (IJASS), Inderscience Publications, Vol 10, Issue 1, Pages 44-69, ISSN: 1751-0589, Feb 2023, DOI:10.1504/IJASS.2021.10045116

Award and Recognitions: Best Paper award received for ICCSA21, Mentor and the winner for Ideathon Hack MIT-WPU 2023

Subjects Taught: Machine Learning, Data Analytics, Data Mining and Warehousing, DBMS

Scopus Id:
https://www.scopus.com/authid/detail.uri?authorId=36706629400

Google Scholar Id:
https://scholar.google.com/citations?user=wYScXxgAAAAJ&hl=en

Orcid Id:
https://orcid.org/0000-0001-5900-5381

Linked In:
https://www.linkedin.com/in/dr-shilpa-sonawani-440b1790/