Ms. Aneetta Sara Shany
Assistant Professor
aneettasara.s@bvrithyderabad.edu.in
AICTE ID: 1-44735891792
JNTUH ID: 3976-240821-115451
Ratified Status: Ratified
Ph.D.: –
M.Tech.: Thesis Title: in silico Generation of novel Antimicrobial Peptides for potential application in Aquaculture using Deep Learning COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY, 2024
B.Tech.: COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY, 2019
Teaching Experience: 0.9 Months
Research Experience: 2 Years
Industry Experience: 3 Years
Scopus ID: –
WoS ID: https://www.webofscience.com/wos/author/record/LRC-6833-2024
Google Scholar ID: https://scholar.google.com/citations?user=mtBIYXwAAAAJ&hl=en
Vidwan ID: https://vidwan.inflibnet.ac.in/profile/561692
ORCID ID: https://orcid.org/0009-0008-0130-0060
Machine Learning
- Secured First Rank in MTech Computer Science and Engineering (Software Engineering) from Cochin University of Science and Technology, 2024.
- A. K. Menon Memorial Endowment & Scholarship Awardee for securing highest CGPA throughout my first year of Master’s study, 2023.
- IQVIA Impact Award for delivering bug free product and excellent performance, 2021.
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- Shany, Aneetta Sara and Shailesh, S., 2023, August. Learning Disability Predictions using Machine Learning: A detailed Evaluation on Predicting risk of Dyslexia. In 2023, 9th International Conference on Smart Computing and Communications (ICSCC) (pp.96-101). IEEE.
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- Invited as the Resource person for the two day workshop on Machine Learning using Python organized by Department of Computer Science and Engineering at Sahrdaya College of Engineering and Technology Thrissur, 2023.
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