Ratnmala Bhimanpallewar
BRACT's Vishwakarma Institute of Technology, K L University
0000-0001-8098-9776
About
Dr. Ratnmala Nivrutti Bhimanpallewar holds a Doctor of Philosophy degree in Computer Science and Engineering from K L University, Vijaywada, India. She has received her master’s (M.E. Computer Science and Engineering) degree from PICT, Savitribai Phule Pune University, Pune, India. She has 14 years of working experience and currently working at Vishwakarma Institute of Information Technology, Information Technology Department, Kondhwa (Bk.), Pune.. She has significant contributions in domains like Databases, Machine Learning and IoT. She is a lifetime member of ISTE, and member of IEEE, she has completed the funded research project under SPPU ASPIRE SCHOLAR scheme. She is involved in Industry collaborations in terms of projects, consultancy. She has several publications like book chapter, conference, journals and IPR. Beyond her research, she is passionately dedicated to mentoring students and takes an active role in diverse academic initiatives, significantly enhancing the educational environment at her institution.
Employment
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BRACT's Vishwakarma Institute of Technology
Education
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K L University Ph. D.2013 - 2021
Projects & Funding
Projects & funding information is unavailable.
Publications (10)
- Machine Learning Based Agricultural Profitability Recommendation Systems: A Paradigm Shift in Crop Cultivation Save
- The Prediction of the Critical Condition for a Weak Entity Using Fuzzy System Save
- Image Compression of Handwritten Devanagari Text Documents Using a Convolutional Autoencoder Save
- Fake Currency Detection Using Image Processing and Random Forest Algorithm Save
- Occupational Health Interventions: Evaluating the Effectiveness of Workplace Wellness Programs Save
- Federate learning on Web browsing data with statically and machine learning technique Save
- Evaluating the Influence of Soil and Environmental Parameters in Terms of Crop Suitability using Machine Learning Save
- AgriRobot: implementation and evaluation of an automatic robot for seeding and fertiliser microdosing in precision agriculture Save
- A prototype model for continuous agriculture field monitoring and assessment Save
- A Machine Learning Approach to Assess Crop Specific Suitability for Small/Marginal Scale Croplands Save