Dr. Lavanya Madhuri Bollipo
Assistant Professor
CSE, NIT Warangal
National Institute of Technology Raipur
Office Address:
Dr. Lavanya Madhuri Bollipo
Assistant Professor
Department of CSE
IIIT Sricity
Academic Qualifications
PhD (CSE) from NIT Warangal
MTech (CSE) from Osmania University Campus
BTech (CSE) from JNTU Kukatpally Campus
Work Experience
- 4 years as an Assistant Professor, Grade II, in NIT Srinagar
Research Areas of Interest
Computer Vision, Optimization of Deep Learning Algorithms, Time-Series Prediction, Federated Learning, Explainable AI
Awards / Honours
- Gold Medal in MTech 2010
Publications/Projects
Journals
Conferences
Book Chapters
- Journal: Lavanya M. Bollipo and Kadambari KV. “Fast and robust supervised machine learning approach for classification and prediction of parkinson’s disease onset”. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, pages 1-17, 2021. https://doi.org/10.1080/21681163.2021.1941262.
- Journal: Lavanya M. Bollipo and Kadambari KV. “A novel supervised machine learning algorithm to detect Parkinson’s disease in its early stages”. Turkish Journal of Computer and Mathematics Education (TURCOMAT), vol. 12 (10), pp. 5257–5276, 2021. https://www.turcomat.org/index.php/turkbilmat/article/view/5323
- Journal: Jan, Tabeer, and Lavanya Madhuri Bollipo. "A Novel Deep Transfer Learning Model with a Bidirectional Quasi-Recurrent Neural Network for Underwater Object Classification from Aquarium Images." Journal of Computational Science (2025): 102775. https://doi.org/10.1016/j.jocs.2025.102775.
- Journal: Rahim, Tabassum, Lavanya Madhuri Bollipo, and Prabal Verma. "Personalizing Federated Learning Models: Methods, Applications, and Challenges in Healthcare 5.0." IEEE Communications Standards Magazine (2025). https://doi.org/10.1109/MCOMSTD.2025.3610620
- Patent: “Acceleration of incremental learning and decremental unlearning of Support vector machines”. Australia Patent No.: 2021101567. https://patents.google.com/patent/AU2021101567A4/en
- Patent: “An accurate Deep Learning System to predict Covid-19 disease from Lung CT scans”. South African Patent number: 2023/03218. https://patents.google.com/patent/ZA202303218B/en
- Book Chapter: Kadambari, KV, and Lavanya Madhuri Bollipo. "Hybrid Deep Learning Model to Diagnose Covid-19 in its Early Stages Using Lung CT Images." Artificial Intelligence Technologies for Computational Biology. CRC Press 257-272. https://doi.org/10.1201/9781003246688
- 5th International Conference on Mathematical modeling and Computational Science (ICMMCS 2026), Berlin, Germany, March 4-5,2026: Tabassum Rahim, Lavanya M Bollipo, Prabal Verma, “Federated and collaborative TinyML for Edge-distributed learning in Industrial 6G Applications” Lecture Notes in Networks and Systems, Springer Nature, ISSN:2367-3370E-ISSN:2367-3389.
- Conference: ICCN 2016: International Conference on Cognitive Neuroscience, Paris, France, January 21-22, 2016: Lavanya M Bollipo, Kadambari KV, “The accuracy of Parkinson's disease diagnosis using [123I]-FP-CIT Brain SPECT data with Machine Learning techniques”, Vol 10 (No: 01), 39159.
- Project:
Title: EcoEdgeAI - Aerial Edge Vision System for Real-Time Monitoring of Plastic Waste in Freshwater Ecosystems Sanctioned Date: 3rd Feb 2026
Budget: Rs. 999952/-
Conference:
Patents
BTech, MTech and PhD courses
Teaching
Contact Information
Office Address:
Dr. Lavanya Madhuri Bollipo
Assistant Professor
Department of CSE
IIIT Sricity
Assistant Professor
Department of CSE
IIIT Sricity



