Ms Pruthvi M.R.

About

About Me

I am Pruthvi M. R., an Assistant Professor in the Department of Computer Science and Engineering at St. Joseph Engineering College, Mangaluru. I hold B.E. and M.Tech. degrees from VTU, Belagavi, and am currently pursuing a Ph.D. under VTU in Machine Learning for Healthcare. I am passionate about teaching, mentoring students, and integrating research with practical learning. 

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Education Qualifications

Sl.No	Qualification Level	University	Area of Specialization	Year of completion	Awards
1	Mtech	VTU	CS	2016
2	BE	VTU	CS	2014

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Responsibilities At SJEC

• Department EMS Coordinator
• SCEPTIX Coordinator
• GDG Coordinator(2022-26)
• VTU Internship Coordinator
• CISCO Certified Trainer CCNA1 and CCNA2
• IIG committee -department coordinator
• NBA Criteria 9 incharge

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Work Experience

• Institution : St Joseph Engineering College
  Designation : Assistant Professor, CSE
  Experience : till now
• Institution : St Joseph first grade Degree College
  Designation : Assistant Professor, CSE
  Experience : 2 years
• Institution: Brindavan College of Engineering.
  Designation : Assistant Professor, CSE
  Experience : 3year

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Research Areas

Machine Learning in Healthcare

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Journal Publications

 M. R. Pruthvi and M. Veena,“Centralized LPG Cylinders Theft Detection System with Security Alerts,”International Journal of Computer Science and Information Technology Research,vol. 4, no. 2, pp. 175–181, Apr.–Jun. 2016.

 

Pruthvi MR has published a research article titled “Machine Learning Enabled Non-Invasive Techniques for Early Detection of Chronic Compartment Syndrome to Prevent Limb Amputation—A Systematic and Critical Exploration” in IEEE Access (Volume 14), a Q1-ranked journal with an Impact Factor of 4.2. DOI: 10.1109/ACCESS.2026.3702205 (ISSN: 2169-3536).

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Conference Proceedings

1.P. M. R. Pruthvi, S. Y. M. Saumya, J. K. B. Kumari, P. M. Prajna, and J. K. V. Jithya,“A Deep Learning Approach for Enhanced Counterfeit Currency Detection and Classification,”in Proc. Int. Conf. Computational Intelligence and Smart Communication (CISC),2024, pp. 1–8.

2.J. K. B. Kumari, S. R. Hegde, P. M. R. Pruthvi, S. A. Shreya, V. K. Vedanth, and S. R. Shetty,“Radiographic Age Estimation using Pulp–Tooth Ratio,”in Proc. IEEE Int. Conf. Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER),2025, pp. 323–328, doi:10.1109/DISCOVER66922.2025.11259017.

3.Pruthvi M. R., Jaishma Kumari B., Lester Shane Fernandes, Melissa Mae Dsouza, Roshni Martis, and Vinay Jason Castelino,“A Comparative Study on Early Detection of Parkinson’s Disease Using Multiple Machine Learning Algorithms,”in Proc. IEEE Int. Conf. Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER),2025, pp. 272–276, doi: 10.1109/DISCOVER66922.2025.11258907.

4. J. K. V., D. Tauro, P. M. R., C. D'Souza, and B. Correia, "Paddy Care: Paddy Disease Identification and Classification Using Deep DenseNet Network," in *2024 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)*, 2024, pp. 377–382. DOI: 10.1109/DISCOVER62353.2024.10750707.

5.Prajna M; Saumya Y M; Shravya Shetty; Jaishma Kumari B; Pruthvi M R; Vaishnavi A, "Alzheimer's Disease Prediction Using Deep Learning," 2024 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), Mangalore, India, 2024, pp. 371-376, doi: 10.1109/DISCOVER62353.2024.10750739.

 

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Research Grants

Seed Grant Award (2025–26):
Received ₹40,000 under the SJEC Seed Money for Research Scheme for the project “Machine Learning–Driven Early Detection and Diagnosis of Compartment Syndrome.”

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Membership in professional Bodies

• CISCO netacad
• ISTE

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Workshop/FDPs Attended

• Participated in 3 days Hands -on Workshop on " Cyber Security ", organized by SJEC-AICTE IDEA LAB in association with the Department of Computer Science and Engineering held on 9 feb to 11 feb 2023.
• Participated in Skill Development Program on "Scientific Paper Writing and Publishing" organized by SJEC AICTE IDEA Lab and Dept. of Computer Science and RFG, SJEC during 21-23 September 2023.
• Participated in 3 days Face-to-Face Faculty Development Program on “Inculcating Universal Human Values in Technical Education” organized by All India Council for Technical Education (AICTE) at St Joseph Engineering College, Mangalore, Mangaluru from 18th October to 20th October 2023.
• NLP and ChatGPT Applications organised by SECAB Institute of Engineering & Technology in Collaboration with ExcelR Edtech Pvt. Ltd.
• NEP 2020 orientation and senitization programme prganized by University Grant commision 
• Faculty Development Program (FDP) on "Early Detection of Cancer: Bridging Academia and Clinical Practice"
• Phase 1 of the Creators of Metaverse Faculty Development Program by AICTE
• Participated in five days  Faculty Development Program on "Problem Based Learning" Organized by St Joseph Engineering College Mangalore.
• Qualified in the NPTEL certification examinations for Internet of Things (IoT), Supply Chain Management, and Research Methodology.

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Conferences attended

1.International Conference on Computational Intelligence and Smart Communication, Shri Madhwa Vadiraja Institute Of Technology qnd Management, Dec 21-22, 2025

2.Presented a paper titled “Early Enhancing Diagnostic Precision of Compartment Syndrome in Diabetic Patients using SVM” at the 2025 IEEE International Conference on Innovate for Humanitarian Tech Solutions for Global Challenge (ICIH), held at Acropolis Institute of Technology and Research, Indore.

3.Attended National Conference on “Impact of Technology on Management and science at Jindal First grade college Bengaluru, on 15thof Feb2019.

4.Saumya, Y. M., Pruthvi, M. R., Jaishma, K. B., Prajna, M. R., Roche, N., Jithya, K. V., & Savitha, C. K. officially published their patent application, "A System and Method for Measuring the Relevance of Datasets to a Data Science Model" (App No. 202541054173), with the Indian Patent Office.

 

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