Ms. Supriya M S

1. Software Engineering
2. Real-Time Embedded Systems
3. Multi-Sensor Data Fusion
4. Healthcare
5. Machine Learning And Artificial Intelligence
6. IoT
7. Automotive

1. M. S., Supriya and Vismaya K. J., Ramya B. N., and Nikil Kumar P. "Artificial Intelligence Based on IoT for Healthcare." In AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management. Edited by Kautish, Sandeep, and Gaurav Dhiman, 48-69. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-4405-4.ch003
2. Narang, M.G. and Supriya, M.S., Design Thinking—The Modern Approach in AIML. In Design Thinking (pp. 65-85). CRC Press, 2022, eBook ISBN 9781003189923, https://doi.org/10.1201/9781003189923
3. Shankar, S. P., Supriya M. S., Varadam, D., Kumar, M., Gupta, H., & Saha, R. (2023). A Comprehensive Study on Algorithms and Applications of Artificial Intelligence in Diagnosis and Prognosis: AI for Healthcare. In L. Gaur & N. Jhanjhi (Eds.), Digital Twins and Healthcare : Trends, Techniques, and Challenges (pp. 35-54). IGI Global. https://doi.org/10.4018/978-1-6684-5925-6.ch003
4. Sahana P Shankar, M. S. Supriya and Naresh E. (2022). Application of Design Thinking Methodology to the Various Phases of the Software Development Life Cycle In I. Management Association (Ed.), Research Anthology on Agile Software, Software Development, and Testing (pp. 687-708) : IGI Global. http://doi:10.4018/978-1-6684-3702-5.ch035
5. M. S., Supriya, and Sasidaran, K. (2021). Machine Learning for Big Data. In Goundar, S., & Rayani, P. K. (Ed.), Applications of Big Data in Large- and Small-Scale Systems (pp. 56-76). IGI Global. http://doi:10.4018/978-1-7998-6673-2.ch004
6. M. S., Supriya, and Roy, M. (2021). Big Data with IoT for Smart Farming. In Goundar, S., & Rayani, P. K. (Ed.), Applications of Big Data in Large- and Small-Scale Systems (pp. 99-114). IGI Global. http://doi:10.4018/978-1-7998-6673-2.ch007
7. M. S., Supriya and Kannika Manjunath, and Kavana U. R.(2021) The Rise of IoT and Big Data Analytics for Disaster Management Systems. In Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies. Edited by Zhao, Jingyuan, and V. Vinoth Kumar, (pp. 42-62). Hershey, PA: IGI Global. https://doi.org/10.4018/978-1-7998-6870-5.ch003
8. Supriya, M. S. and Gangadhar, N. D. (2020) Automotive Crash Detection Using Multi-sensor Data Fusion, In Emerging Trends in Photonics, Signal Processing and Communication Engineering, Springer, Singapore. pp. 149-155. DOI: 10.1007/978-981-15-3477-5_19
9. Shankar, S. P., M. S., S., & E., N. (2020). Application of Design Thinking Methodology to the Various Phases of the Software Development Life Cycle. In L. Gaur, A. Solanki, V. Jain, & D. Khazanchi (Ed.), Handbook of Research on Engineering Innovations and Technology Management in Organizations (pp. 395-416). IGI Global. https://doi.org/10.4018/978-1-7998-2772-6.ch020

1. First Language Topper award in pre-university at college level
2. Academic Excellence awards in UG
3. Won prizes by actively participating in the Debate, Creative Writing, Dance and Essay Writing
4. Participated in science exhibition “Karnataka Darshana" organized by NAAC (A: Grade) and secured second prize for "ISRO Model of Satellite Control".
5. Stood as a topper of Telecommunication branch in Bachelor of Engineering
6. Initiator and Organizer of Technical Fest- 2013 in Bachelor of Engineering
7. Participated in the 2015 MSME International Exhibition as a volunteer at the Bangalore International Exhibition Center (BIEC)
8. As part of the TIFAC scholarship programme, I worked as an intern for Sparr Electronics Limited for two months.
9. Coordinated the RUAS cultural and technical festival as a FET level and departmental representative, organized a FDP in CSE Dept.
10. Design and Development of an Efficient Crash Detection Algorithm for Automobiles Using Multi-Sensor Data Fusion was filed for a patent under Indian Patent Application: 201641044563
11. Predict ARR – Design and Development of Android application for Cardiac Arrhythmia classification using Machine Learning was filed for a patent: Indian Patent Application: 202241004577
12. I have reviewed numerous books chapters and journals that are included in the Scopus database.

National Conference Papers

1. Supriya M S, Sahana P Shankar, Sukanya Shet S,Sharon Rose S,Vurimi Veera Venkata Naga Sai Vamsi,Lisha L Narayana, Nikil Kumar P “Flutter Based Cross-Platform Mobile Application for Social Grievance Redressal” in the 5th National Conference on Networking, Embedded and Wireless Systems “Evolving with Technology” NEWS 2022,organised by BMSCE, Bangalore, in association with The Institution of Electronics and Telecommunication Engineers (IETE) Bengaluru Centre on October 13th, 2022.
2. Sahana P Shankar, Supriya M S, Sudarshan C, Shrihari M R, Vignesh S Mogaveera, Subhankar Samantaray and Samarth Guddadar “Disease Detection In Plants and Live-Stock Using Machine Learning Techniques” in the 5th National Conference on Networking, Embedded and Wireless Systems “Evolving with Technology” NEWS 2022, organised by BMSCE, Bangalore, in association with The Institution of Electronics and Telecommunication Engineers (IETE) Bengaluru Centre on October 13th, 2022.

International Conference Papers

1. Supriya, M. S., Shankar, S. P., BJ, H. J., Narayana, L. L., & Gumalla, N. (2022, July). Car Crash Detection System using Machine Learning and Deep Learning Algorithm. In 2022 IEEE International Conference on Data Science and Information System (ICDSIS) (pp. 1-6). IEEE.
2. Supriya. M S, S. P. Shankar, S. S. Mohan Reddy, G. R, S. S and S. S. R, "Classification of Ventricular Arrhythmia using Machine Learning and Deep Learning Techniques," 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C), Bangalore, India, 2022, pp. 36-41, doi: 10.1109/I4C57141.2022.10057825.
3. S. A. K, V. Gururaj, S. P. Shankar, Supriya. M. S and A. Bharadwaj, "Electrocardiogram based cardiovascular disease detection with Ensemble Learning Classifier," 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C), Bangalore, India, 2022, pp. 48-53, doi: 10.1109/I4C57141.2022.10057719.
4. Vamsi, V.V.V.N.S., Shet, S.S., Reddy, S.S.M., Rose, S.S., Shetty, S.R., Sathvika, S., Supriya, M.S. and Shankar, S.P “ Deepfake Detection in Digital Media Forensics” in the International Conference on Intelligent Engineering Approach(ICIEA-2022) , organised by HKE Society’s SLN College of Engineering Raichur, in association with Technical Institute for Engineers (TIE) , Bengaluru on 12th Feb 2022
5. Sharadhi, A.K., Gururaj, V., Shankar, S.P., Supriya, M.S. and Chogule, N.S “ Face Mask Recogniser using Image Processing and Computer Vision Approach” in the International Conference on Intelligent Engineering Approach(ICIEA-2022) , organised by HKE Society’s SLN College of Engineering Raichur, in association with Technical Institute for Engineers (TIE) , Bengaluru on 12th Feb 2022
6. M S, Supriya. & Gangadhar (2018). Automotive Crash Detection using Multi-Sensor Data Fusion. International Conference on Photonics, Signal Processing and Communication Technologies (ICP- SPCT 2018) July 19, 2018 organiser by RUAS, Bangalore.

National Journal Papers

1. M.S. Supriya, N. Gangadhar and A. Manjunath, "Reliable automotive crash detection using multi sensor decision fusion", SASTech-Tech. J. RUAS, vol. 16, no. 2, pp. 46-49, 2017.

International Journal Papers

1. Vurimi Veera Venkata Naga Sai Vamsi, Sukanya S. Shet, Sodum Sai Mohan Reddy, Sharon S. Rose, Sona R. Shetty, S. Sathvika, Supriya M. S., Sahana P. Shankar, Deepfake detection in digital media forensics, Global Transitions Proceedings, Volume 3, Issue 1, 2022, Pages 74-79, ISSN 2666-285X, https://doi.org/10.1016/j.gltp.2022.04.017.
2. A.K. Sharadhi, Vybhavi Gururaj, Sahana P. Shankar, M.S. Supriya, Neha Sanjay Chogule, Face mask recogniser using image processing and computer vision approach, Global Transitions Proceedings, Volume 3, Issue 1, 2022, Pages 67-73, ISSN 2666-285X, https://doi.org/10.1016/j.gltp.2022.04.016.
3. Flutter Based Cross-Platform Mobile Application for Social Grievances Redressal (Accepted in NEWS2022 conference and UGC approved journal, Yet to Publish)
4. Disease Detection In Plants And Live-Stock Using Machine Learning Techniques (Accepted in NEWS2022 conference and UGC approved journal, Yet to Publish)

1. Title : Method, System and Apparatus for Multi-Sensor Data Fusion Based Efficient Crash Detection in Automobiles Application No. 201641044563 Date : December 28, 2016
2. Title : PredictARR – Design and Development of Android application for Cardiac Arrhythmia classification using Machine Learning Application No. 202241004577 Date : January 27, 2022