Research output per year
Research output per year
Personal profile
Personal profile
Shelda is a Senior lecturer at Torrens University. She has 13+ years’ experience in industry, teaching and research with expertise in medical image analysis, AI/machine learning and data analytics. Prior to Torrens, she was doing postdoctoral research at Flinders Digital Health Research Centre where she was leading multiple projects on cardiovascular disease and machine learning.
Research interests
- Data Analytics
- AI/Machine Learning
- Medical Image Anlaysis
- Image Processing
- Pattern Recognition
- Texture Analysis
- Feature Engineering
- Disease risk prediction and diagnosis using machine learning (heart disease, diabetes, frality, cancer...)
Education/Academic qualification
Image processing and Machine Learning, PhD, Flinders University
Award Date: 26 Jul 2019
Computer Science and Engineering, Master, Visvesvaraya Technological University
Award Date: 10 May 2013
Computer Science and Engineering, Bachelor
Award Date: 20 May 2005
External positions
Postdoctoral Researcher at Flinders Digital Health Research Center , Flinders University
Jul 2018 → Feb 2021Research Assistant at Flinders Digital Health Research Center
Jul 2017 → Jul 2018Casual Academic at College of Science and Engineering , Flinders University
Jan 2014 → Jul 2018Fingerprint
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Research output
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Classifying infective keratitis using a deep learning approach
Sajeev, S. & Prem Senthil, M., 1 Feb 2021, Proceedings of the Australasian Computer Science Week Multiconference 2021, ACSW 2021. Stanger, N. & Joachim, V. L. (eds.). Association for Computing Machinery (ACM), 3437388. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Predicting australian adults at high risk of cardiovascular disease mortality using standard risk factors and machine learning
Sajeev, S., Champion, S., Beleigoli, A., Chew, D., Reed, R. L., Magliano, D. J., Shaw, J. E., Milne, R. L., Appleton, S., Gill, T. K. & Maeder, A., 2 Mar 2021, In: International Journal of Environmental Research and Public Health. 18, 6, p. 1-14 14 p., 3187.Research output: Contribution to journal › Article › peer-review
Open Access -
Mammographic mass identification in dense breasts using multi-scale analysis of structured micro-patterns
Sajeev, S., Bajger, M., Lee, G., Muramatsu, C. & Fujita, H., 1 Jan 2020, 15th International Workshop on Breast Imaging, IWBI 2020. Bosmans, H., Marshall, N. & Van Ongeval, C. (eds.). SPIE, 1151323. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11513).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Cardiovascular Risk Prediction Models: A Scoping Review
Sajeev, S. & Maeder, A., 29 Jan 2019, Proceedings of the Australasian Computer Science Week Multiconference, ACSW 2019. Association for Computing Machinery (ACM), a21. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
Deep Learning to Improve Heart Disease Risk Prediction
Sajeev, S., Maeder, A., Champion, S., Beleigoli, A., Ton, C., Kong, X. & Shu, M., 1 Jan 2019, Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting - 1st International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Proceedings. Liao, H., Wang, G., Liu, Y., Ding, Z., Balocco, S., Zhang, F., Duong, L., Phellan, R., Zahnd, G., Albarqouni, S., Demirci, S., Breininger, K., Moriconi, S. & Lee, S-L. (eds.). Springer Gabler, p. 96-103 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11794 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Prizes
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Impact Seed Funding for Early Career Researchers
Sajeev, Shelda (Recipient), 2019
Prize: Honorary award
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The Australian Government Research Training Program Scholarship
Sajeev, Shelda (Recipient), 2017
Prize: Honorary award