Ph.D.: NIT Warangal(Pursuing).
PG: CSE, JNTUH, 2018
UG: CSE, JNTUH,2016
Teaching Experience: 6 years
Research Experience: 2 years 1 month
Industry Experience: NIL
Contact Number: 9959093813
BVRITN Employee ID: BVRIT01079
JNTUH Registration ID: 2068-220928-115029
AICTE Registration ID:
- Natural Language Processing
- DEEP LEARNING
- Machine Learning
- ACM – Annual
- NIKHILA, R., LAVANYA, B., VARASREE, B., & PURNACHAND, D. (2026). ADNET-AI: AN OPTIMIZED DEEP LEARNING FRAMEWORK FOR MULTI-CLASS ECG ARRHYTHMIA DETECTION IN CLINICAL DECISION SUPPORT SYSTEMS. Journal of Theoretical and Applied Information Technology, 104(1).
- Uday Kiran G, Srilakshmi V, Lavanya B, Priyanka B, “IntelliForecast: A Machine Learning Framework with Feature Engineering for Efficient Forecasting of Electricity Load”, International Research Journal of Multidisciplinary Technovation, Vol 7 Iss 5,2025, page- 14-30, DOI: 0.54392/irjmt2552
- Lavanya, B. Priyanka, H. V. Bhagat, T. Shashank and T. Ravali, “Exploring the Capability of Generative Models for Generating Adversarial Instances,” 2024 2nd International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles (ICPEEV), Hyderabad, India, 2024, pp. 1-6, doi: 10.1109/ICPEEV63032.2024.10931935.
- K. G. et al., “One-Shot Stylization for Transformative Facial Art using StyloMorph,” 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), New Delhi, India, 2024, pp. 1-8, doi: 10.1109/DELCON64804.2024.10866661.
- U. Kiran et al., “Exploring the Impact of Neural Architecture Search on Human Pose Detection Techniques,” 2025 IEEE International Conference on Contemporary Computing and Communications (InC4), Bangalore, India, 2025, pp. 1-5, doi: 10.1109/InC465408.2025.11256496.
- V, H. D. P, C. Abhinaya, U. K. G, L. B and M. M, “Behavior-Aware Framework for Account and Deposit Recommendations Using LSTM-Based Sequence Modeling and Retrieval-Augmented Explanations,” 2026 International Conference on Emerging Trends in Mobile Computing and Sustainable Informatics (ICEMCSI), Bengaluru, India, 2026, pp. 1-6, doi: 10.1109/ICEMCSI67638.2026.11603060.
- B, U. K. G, S. V, S. P. D, L. G and K. R. J, “Integrating Knowledge Graph Reasoning for Explainable Question Answering in NLP Systems,” 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), Lonavala, India, 2026, pp. 1-6, doi: 10.1109/I3CTCON68242.2026.11507631.
1
Computer Networks and Internet Protocol
12 weeks
Jan-Apr 2023
Elite
2
Introduction to Internet of Things
12 weeks
Jul-Oct 2025
Elite+Silver
3
The Joy of Computing using Python
12 weeks
Jan-Apr 2026
Elite
- Attended “Machine Learning for Big Data Applications and Security Challenges “workshop held By MLR Institute of Technology, Hyderabad from 24th to 29th April 2023.
- Attended “Machine Learning for Data science using Python “workshop held by NIT, Warangal from 16th to 31st May 2023.
- Attended Online Refresher Course on “Artificial Intelligence” held by JNTUH from 10th July to 24th July 2023 and successfully completed with A+ Grade.
- Attended “ACM workshop on Research operations in Computer Science (ROCS)” held by IIT, Hyderabad on 13th April 2024.
- Attended the Faculty Development Programme (FDP) on “Demystifying Machine Learning” organized by Electronics & ICT Academy, IIT Roorkee, in association with Anurag University, held from 20th January 2025 to 25th January 2025.
- Attended the Faculty Development Programme (FDP) on “Advanced Deep Learning Techniques for Healthcare AI: From Research Foundations to Clinical Translation” conducted at CVR College of Engineering, Hyderabad, from 09th to 14th March 2026.