Dr Rinisha Bagaria

Assistant Professor

DRC Head - AI&DS

Department of Artificial Intelligence and Data Science (AI&DS)

CMR Institute of Technology - Bangalore, India

Email: rinisha.b@cmrit.ac.in, drch.aids@cmrit.ac.in

Phone: 8982650083

Summary

Dr Rinisha Bagaria is currently working as an Assistant Professor in the Department of Artificial Intelligence and Data Science (AI&DS) at CMR Institute of Technology, Bangalore. She has completed a PhD degree in March 2024. She was also selected for the National Doctoral Fellowship (NDF) scheme under AICTE and received a full-time stipend for PhD through NDF/ADF. She has received a project grant of Rs. 21,75,000 under the Research Promotional Scheme (RPS), AICTE. She has published two papers in the SCI journal, four papers in the Scopus-indexed conferences, one in the UGC-approved journal and two at IEEE conferences.

Educational Qualifications

PhD in Electrical Engineering, Madhav Institute of Technology & Science, Gwalior, 2024.

M.E in Electrical Engineering, Madhav Institute of Technology & Science, Gwalior, 2017.

B.E in Biomedical Engineering, Shri Govindram Seksaria Institute of Technology and Science, Indore, 2015.

Experience

Assistant Professor, CMR Institute of Technology, Bangalore (Present)

Senior Research Fellow, Madhav Institute of Technology & Science, Gwalior.

Junior Research Fellow, Madhav Institute of Technology & Science, Gwalior.

Teaching Assistant, Madhav Institute of Technology & Science, Gwalior.

Subject Taught

Digital Design & Computer Organization

Digital Design & Computer Organization with Verilog (Lab)

Data Analytics with EXCEL

Artificial Intelligence

Artificial Intelligence Lab

Machine Learning Lab

Python Programming

Software Engineering and Project Management

Areas of Interest

Digital Image Processing, Artificial Intelligence, Biomedical Instrumentation, Computer Vision, Medical Imaging, Machine Learning and Deep Learning.

Publications

(2 SCI Journal, 7 Scopus Indexed, 1 UGC Approved Journal, 1 IEEE Conf., 1 IJAIR Journal, 1 National Conf.)

1. A research paper entitled “AI-powered Terms Simplification And Consent Management” is accepted for at “4th International Conference on Advances in Science, Engineering & Technology (ICASET)” on 15th & 16th November 2025 at Delhi, India. [Accepted & Presented in Scopus]

2. A research paper entitled “Housing Price Prediction Using Machine Learning Techniques” is accepted for at “4th International Conference on Advances in Science, Engineering & Technology (ICASET)” on 15th & 16th November 2025 at Delhi, India. [Accepted & Presented in Scopus]

3. A research paper entitled “Bone Fracture Detection in X-rays using Advanced Deep Learning Modeling” has been accepted for presentation during BIDA 2025, and publication in the proceedings to be published in Scopus indexed Springer Book Series "Smart Innovation, Systems and Technologies". [Accepted & Presented in Scopus]

4. Bagaria, R., Wadhwani, S., Wadhwani, A.K. “A Support Vector Machine-Based Classification for Distinct Medical Image Modalities”. Fifth Congress on Intelligent Systems. CIS 2024. Lecture Notes in Networks and Systems, vol 1276. Springer, Singapore. https://doi.org/10.1007/978-981-96-2697-7_27 [Scopus Indexed]

5. Rinisha Bagaria, Sulochana Wadhwani, A. K. Wadhwani, "An Image Segmentation for Different Medical Image Modalities using Wavelet Transform Technique", International Journal of Scientific Research in Science and Technology (IJSRST), Print ISSN: 2395-6011, Volume 10 Issue 1, pp. 292-307, January-February 2023. Available at doi: https://ijsrst.com/IJSRST2310134 [UGC-approved journal]

6. Rinisha Bagaria, Sulochana Wadhwani and A. K. Wadhwani, "Bone Fracture Detection in X-ray Images using Convolutional Neural Network", SCRS Conference Proceedings on Intelligent Systems, SCRS, India, 2022, pp. 459-466. Available: https://doi.org/10.52458/978-93-91842-08-6-43. [Scopus Indexed]

7. Bagaria, R., Wadhwani, S., Wadhwani, A.K. (2022). A Wavelet-Based Segmentation Technique for Medical Images. In: Dubey, H.M., Pandit, M., Srivastava, L., Panigrahi, B.K. (eds) Artificial Intelligence and Sustainable Computing. Algorithms for Intelligent Systems. Springer, Singapore. Available: https://doi.org/10.1007/978-981-16-1220-6_6 [Scopus Indexed]

8. Rinisha Bagaria, Sulochana Wadhwani, A. K. Wadhwani, "A Wavelet Transform and Neural Network Based Segmentation & Classification System for Bone Fracture Detection", Optik, p. 166687, 2021. Available: https://doi.org/10.1016/j.ijleo.2021.166687 [SCI Indexed]

9. Rinisha Bagaria, Sulochana Wadhwani, Arun Kumar Wadhwani, “Bone fractures detection using support vector machine and error backpropagation neural network”, Optik, Volume 247, 2021, 168021, ISSN 0030-4026, Available: https://doi.org/10.1016/j.ijleo.2021.168021 [SCI Indexed]

10. Rinisha Bagaria, Sulochana Wadhwani, A. K. Wadhwani, “Different Techniques for Identification of a Bone Fracture in Analysis of Medical Image”, 9th IEEE International Conference on Communication Systems and Network Technologies (CSNT), 2020. Available: https://doi.org/10.1109/CSNT48778.2020.9115760Jj [Scopus Indexed]

11. Rinisha Bagaria, Sulochana Wadhwani, A. K. Wadhwani, “Automatic Location of Fracture Region in a Bone X- Ray Using MATLAB”, IEEE National Conference On Advance Trends And Techniques In Wireless Communication And Soft Computing, Feb 2019. [IEEE Conference]

12. Rinisha Bagaria, Sulochana Wadhwani, “Tongue Diagnosis by Image Segmentation” International Journal of Advanced and Innovative Research, IJAIR, Volume 6 Issue 4, April 2017. [IJAIR]

13. Rinisha Bagaria, Sulochana Wadhwani, “Tongue Diagnosis For Various Diseases”, Innovation in Electrical Engineering IIEE-17, MITS, Gwalior, Feb 2017. [National Conference]

Patents Filed

1. A patent titled “AloeCharge: Bio-Electrochemical Energy Cell with Stabilized Aloe Vera Gel Electrolyte and Hybrid Silicon-Biopolymer Casing” is filed in September 2025. Application no. 202541086248
2. A patent titled “SmartPuff: AI Pillow for Posture, Snore, and Sleep Quality Detection” is filed in June 2025. Application no. 202541060927

Proposal Submitted

1. Submitted a proposal title “AI-Based Intelligent Medical Image Processing System for Smart Healthcare” under ANRF on 17th Nov 2025. Reference no. 502025002050
2. Submitted a proposal title “A Unified IoT-Driven Platform for Smart Parking: Real-Time Availability Detection, Navigation, and Capacity Management” under ANRF on 16th Nov 2025. Reference no. 642025002265
3. Submitted a proposal title “Unified Framework for Traffic Surveillance at National Level with Focus on Vulnerable Zones using Computer Vision at Edge” under Advanced Research Grant (ARG) on 30th June 2025. Reference no. ANRF/ARG/2025/000165/ENS
4. Submitted a proposal titled “Enhancing IT Infrastructure Security Through Empirical Analysis of Zero-Day Threats” under India Japan Science and Technology Cooperation on 30th June 2025. Reference no. TPN/13
5. Submitted a proposal titled “Reservoir Water Quality Monitoring Using Hyperspectral Imaging in a Mobile App” under ISRO RESPOND on 30th Jan 2025.
6. Submitted a Proposal entitled “Design and Characterization of microfabricated, remotely controlled electro-osmotic pump (EOPs) for microfluidic applications” under the scheme of Early Career Research Award on 17th June 2024, VGST Reference Number- VRYN/003456/23- 24.
7. Submitted a proposal entitled “VISAS: Visual Intelligence-based Security Alarming System” under SERB POWER Grant on 31st Jan 2024, Reference No.: 162024002215.

Events Participated

Completed 40 Hours Online FDP on “AI and Deep Learning: Trends and Future Development” , Sponsored by MeitY, organized by E&ICT Academy, NIT Warangal, and IIIT Bhubaneswar from 15th - 26th September, 2025.
Participated in a 5-Day Online Industry-Oriented FDP on “Empowering Educators through Emerging Technologies in the IT Industry”, organized in collaboration with TCS, held from 28th July to 1st August 2025.
Attended an External event at IIIT-Bangalore on the topic "Bangalore on IT" on 06 Nov 2024.
Attended LTTP titled "Deep Learning and its Application in Computer Vision and Natural Language Processing" organized by Dept. of CSE, CMRIT from 14.02.2024 to 29.02.2024.
Acknowledged by the RC Convenor for accurately completing the RCPIE verification.
Attended NPTEL online courses entitled “Computer Vision Fundamentals”, “Data Science for Engineers”, “Digital Image Processing”, “Medical Image Processing", and “Biomedical Signal Processing” respectively.
Attended an external event at Microsoft titled “Microsoft AgentVerse: Bengaluru” in August 2025.
Participated Long Term Training Program of “Deep Learning and its Application in Computer Vision and Natural Language Processing” from 14/2/24 to 2/3/24 by the Department of CSE, CMRIT, Bangalore.
Participated in Online E&ICT FDP on "AI, ML and DS for Engineering Applications" from May 2, 2024, to May 11, 2024, organized by the Department of CSE, NIT Warangal - 506004, Telangana and Department of ECE, SJB Institute of Technology, Bengaluru, Karnataka.
Attended Data Science Foundation course, which is a six-month online course from Accredian in July 2023.
Participated in a course on “Technological Innovations and Challenges in Biomedical Instrumentation”, TEQIP-III.
Participated in a 30-day course named “Master Class on Artificial Intelligence” at Pantech Prolabs India.
Completed the self-paced training courses named ‘Deep Learning Onramp’, ‘Machine Learning Onramp’ and ‘MATLAB Onramp’ at Mathworks.
Participated in a 5-day course entitled ‘Machine Learning Master Class’ at Pantech Prolabs India.