Kavya B
Assistant Professor
- Teaching
About
Kavya B received her B.Tech degree in Computer Science and Engineering from M.S. Ramaiah University of Applied Sciences and her M.Tech degree in Computer Science and Engineering from University Visvesvaraya College of Engineering. She is currently pursuing a Ph.D. at Visvesvaraya Technological University. With a total of 2.5 years of teaching experience, her current research interests include Machine Learning and Data Analytics.
Assistant Professor, Dayananda Sagar University, Bangalore, 2022 - 2024
Intern, Nokia, 2020 - 2021
Microprocessor lab, DBMS lab, C programming lab, Algorithms Lab, Digital Logic Design Lab, Compiler Design and System Software Lab.
Machine Learning, Microprocessors, Digital Logic Design, Computer Organization, Design and Analysis of ALgorithms, Database Management Systems, Compiler Design and System Software, Formal Languages and Automata Theory.
Coordinating various administrative activities like NBA, NAAC.
Time-Table coordinator, Website Coordinator.
Machine Learning
Data Analytics
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Bhola, A. and Kumar, P., 2024. ML-CSFR: A Unified Crop Selection and Fertilizer Recommendation Framework based on Machine Learning. Scalable Computing: Practice and Experience, 25(5), pp.4111-4127.
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Chirchi, K.E. and Kavya, B., 2024, February. Unraveling Patterns in Healthcare Fraud through Comprehensive Analysis. In 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 585-591). IEEE.
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Devaiah, K.J. and Kavya, B., 2023, December. Survey on Android Offloading using Cloud Computing Technology. In 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (pp. 1168-1171). IEEE.
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Kavya, B. and Jayasri, B.S., 2023, December. Analysis on Feature Selection and Classification of Cardiovascular Disease using Machine Learning. In 2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC) (pp. 1-8). IEEE.
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Kavya, B., Meghana, G., Roshni, M. and Bharanidharan, N., 2022, December. Rat Swarm Optimizer based Transform for Performance Improvement of Machine Learning Classifiers in Diagnosis of Lung Cancer. In 2022 Smart Technologies, Communication and Robotics (STCR) (pp. 1-5). IEEE.
Paul, B., Agnihotri, S., Kavya, B.,Tripathi, P. and Babu, N., 2022.Sustainable smart aquaponics farming using IoT and data analytics. Journal of Information Technology Research (JITR), 15(1), pp.1-27.
Book chapter titled as “Breast Cancer Diagnosis Using Elephant Herding Optimization and Sparse Autoencoder Through Gene Expression Analysis”.
Education
Ph.D (Pursuing), Visvesvaraya Technological University
M.Tech, University Visvesvaraya College of Engineering, Bangalore, 2021
B.Tech, M S Ramaiah University of Applied Sciences, 2019