About
Lavanya V, M.Sc., M.Phil., is serving as an Assistant Professor at RV University, Bengaluru. She has around 12 years of teaching experience and one year of industry experience. She completed her undergraduate degree in B.Sc. Computer Science from Sri Ramakrishna College of Arts and Science, Coimbatore, and her postgraduate degree in M.Sc. Computer Technology from Anna University, Coimbatore.
She has authored two books titled Mobile Application Development and Data Science with R: An Integrated Approach to Programming and Analytics. She has published research papers in five international journals and has presented her work at two IEEE conferences. In addition, she has actively participated in several national and international conferences, workshops, seminars, and Faculty Development Programs (FDPs).
Her areas of interest include Data Mining, Deep Learning, and Artificial Intelligence. She is passionate about research and continuously engages in academic and professional development activities.
1. Foreign currency exchange rate (FOREX) using neural network V Lavanya, M Parveentaj International Journal of Science and Research 2 (10), 174-177
2. Predictive Modeling for Nanomaterials Using AI-Assisted Design of Experiments SC Kishore, V Lavanya, P Selvakumar, TC Manjunath, MR Arun, ... Leveraging AI and Nanotechnology for Materials, Devices, and Manufacturing …2026
3. Integrated Multi-Model Framework for Automated Depression Detection from Brain MRI Images V Lavanya, AK TA 2025 5th International Conference on Evolutionary Computing and Mobile.
4. A Hybrid CNN-BiLSTM-Attention Framework for Early Depression Detection from Social Media Text V Lavanya, AK TA 2025 Tenth International Conference on Science Technology Engineering.
Pursuing Ph.D. in Computer Science with a focus on Artificial Intelligence and Deep
Learning
Published 5 research papers in international journals
Presented research work at 2 IEEE international conferences
Author of books on Mobile Application Development and Data Science with R
Actively participates in national and international conferences, workshops, and FDPs
Research Interests
Artificial Intelligence
Deep Learning
Machine Learning
Data Mining
Medical Image Analysis
Automated Diagnosis using AI
Data Analytics
Completion of NPTEL courses like Data mining, Artificial Intelligence in marketing, Database Management system, Software engineering.
Assistant Professor
School of Computer Science and Engineering
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Bengaluru
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