Dr. Amsaprabhaa .M
Assistant Professor of Computer Science and Engineering
Dr. Amsaprabhaa.M
Email: amsaprabhaam@snuchennai.edu.in
Email: amsaprabhaam@snuchennai.edu.in
Email: amsaprabhaam@snuchennai.edu.in
E-Mail: amsaprabhaam@snuchennai.edu.in
Dr.M.Amsaprabhaa is an Assistant Professor in the Department of Computer Science and Engineering, at Shiv Nadar University Chennai. She was completed B.E (Computer Science) (2015), M.E (Computer Technology) (2017) from Anna University, Chennai, Tamil Nadu, India.
She has completed her Ph.D from Faculty of Information and Communication Engineering, at the Madras Institute of Technology (Anna University), Chennai. She has over 4 years of research experience in the field of Data Mining, Activity Recognition, Video Processing and Clinical Databases in the field of computer vision, social media and location-sensing technologies. Her research has involved the significance of designing efficient techniques for the analysis of spatiotemporal patterns using text and video data.
Educational Qualifications:
2023 – Ph.D. – Faculty of I&C, Anna University (MIT campus).
2017- M.E. – Computer Technology, Anna University (MIT campus).
2015- B.E. – Computer Science and Engineering, Jeppiaar Engineering College.
List of Publications:
International Journals:
1. Amsaprabhaa M, Jane, Y. N, & Nehemiah, HK (2022), “Multimodal Spatiotemporal Skeletal Kinematic Gait Feature Fusion for Vision-based Fall Detection”, Expert Systems with Applications, Elsevier, 118681. ISSN: 0957-4174, Impact Factor: 8.665, Annexure 1 (Q1 Journal).
2. Amsaprabhaa M, Jane YN and Nehemiah HK (2021), “A Survey on Spatiotemporal Framework for Kinematic Gait Analysis in RGB Videos”, Journal of Visual Communication and Image Representation, Elsevier, Vol.79, pp. 1-20. Article Id: 103218, ISSN: 1047-3203, Impact Factor: 2.678, Annexure 1 (Q1 Journal).
3. Amsaprabhaa M, Jane, YN and Nehemiah, HK (2021), “Deep Spatiotemporal Emotion Analysis of Geo-Tagged Tweets for Predicting Location based Communal Emotion during Covid-19 Lock-down”, Journal of Intelligent & Fuzzy Systems, IOS Press, pp. 1-14. ISSN: 1064-1246, Impact Factor: 1.737, Annexure 1 (Q3 Journal).
4. Nancy Jane.Y, Charanya SK, Amsaprabhaa M, Preetiha Jayashanker, Khanna Nehemiah. H (2022), “2-HDCNN: A Two-tier Hybrid Dual Convolution Neural Network Feature Fusion Approach for Diagnosing Malignant Melanoma”, Computers in Biology and Medicine, Elsevier, 106333. ISSN: 0010-4825, Impact Factor: 6.698, Annexure 1 (Q1 Journal).
International Conferences:
1. M.Amsaprabhaa, and Y. Nancy Jane, ‘Spatio-Temporal Analysis For Gait Recognition : A Review’, IEEE 11th International Conference on Advanced Computing (ICoAC), 2019, pp:249- 252.
CERTIFICATIONS:
1. Introduction to Machine learning– NPTEL
2. Programming in Java – NPTEL
GOOGLE SCHOLAR CITATIONS
https://scholar.google.com/citations?user=ND2_1bYAAAAJ&hl=en&oi=sra
Amsaprabhaa .M
Assistant Professor of Computer Science and Engineering
Amsaprabhaa.M is an Assistant Professor with the Department of Computer Science and Engineering at Shiv Nadar University, Chennai. She was completed B.E (Computer Science) (2015), M.E (Computer Technology) (2017) from Anna University, Chennai, Tamil Nadu, India. She is currently pursuing Ph.D. at the Madras Institute of Technology (Anna University), Chennai.
Her area of interest includes Data Mining, Activity recognition, Video Processing and Clinical Databases in the field of computer vision, social media and location-sensing technologies. Her research has involved the significance of designing efficient techniques for the analysis of spatio-temporal patterns using text and video data.
Selected Publications:
International Journals:
- Amsaprabhaa, M, Jane, YN and Nehemiah, HK (2021), ‘Deep spatio-temporal emotion analysis of geo-tagged tweets for predicting location based communal emotion during COVID-19 Lock-down’, Journal of Intelligent & fuzzy systems, IOS press, pp. 1-14. ISSN: 1064-124, DOI:10.3233/JIFS-210544, ANNEXURE 1. IMPACT FACTOR: 1.851.
- Amsaprabhaa, M, Jane, YN and Nehemiah, HK (2021), ‘A survey on spatio-temporal framework for kinematic gait analysis in RGB videos’, Journal of Visual Communication and Image Representation, Elsevier, vol.79, pp. 1-20. ARTICLE ID: 103218, ISSN: 1047-3203, DOI: https://doi.org/10.1016/j.jvcir.2021.103218, ANNEXURE 1. IMPACT FACTOR: 2.678.
- Amsaprabhaa, M., Jane, Y. N., & Nehemiah, H. K. (2022). Multimodal Spatiotemporal Skeletal Kinematic Gait Feature Fusion for Vision-based Fall Detection. Expert Systems with Applications, 118681.
International Conferences:
- Amsaprabhaa, and Y. Nancy jane, ‘Spatio-Temporal Analysis For Gait Recognition : A Review’, IEEE 11th International Conference on Advanced Computing (ICoAC), 2019, pp:249- 252.
CERTIFICATIONS:
- Introduction to Machine learning– NPTEL