Ms. Jyothi B
Assistant Professor (CSE-AI & ML)
jyothi.b@bvrithyderabad.edu.in
AICTE ID: 1-11440813912
JNTUH ID: 5678-211218-113536
Ratified Status: Yes
Ph.D.: Pursuing at Sathyabama University
M.Tech.: SRM University, 2020
B.Tech : Anna University, 2010
Teaching Experience: 5.4 Years
Research Experience: Nil
Industry Experience: 8 Years
Scopus ID: https://www.scopus.com/authid/detail.uri?authorId=57215341099
WoS ID: –
Google Scholar ID: https://scholar.google.com/citations?hl=en&user=AmPKb7wAAAAJ
Vidwan ID: –
ORCID ID: https://orcid.org/0009-0006-2578-5715
Machine Learning
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- Enhanced Accuracy for Lung Adenocarcinoma (LUAD) Prediction based UMAP Feature Using Artificial Neural Network
- Jyothi, Dr.L. Mary Gladence
- Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), volume: 15, number: 4 (December), pp. 380-394. DOI: 10.58346/JOWUA.2024.I4.026.
Comparison of Lung Cancer Prediction Using Deep Learning and Machine Learning with UMAP Technique
- Jyothi, Dr.L. Mary Gladence
IEEE Xplore, 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL)
A Deep Learning based Adaptive Image Processing System for Autonomous Object Recognition and Classification. Application no. 202441088597 A
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- One Week FDP on “NEXT GEN SOLUTIONS FOR MEDICAL CHALLENGES POWERED BY AI BASED INTELLIGENT SYSTEMS “Data Science for ALL” organized AICTE Training And Learning (ATAL) Academy Faculty Development Program, during from 16/12/2024 to 21/12/2024.
- Two weeks Faculty Development Program on “Deep Learning and Optimization for Healthcare” jointly organized by Electronics and ICT Academy, NIT Patna under the “Scheme of financial assistance for setting up of Electronics and ICT Academies (Phase-II)” by the Ministry of Electronics and Information Technology (MeitY), Government of India from 24th February 2025 – 04th March, 2025.
- Intel Unnati and Infosys Certification
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