Ph.D.: Anurag University (Pursuing).
PG: CSE, Gitam University, 2014
UG: CSE, JNTUH, 2012
Teaching Experience: 5 years
Research Experience: 1 year 8 months
Industry Experience: NIL
Contact Number: 9959096622
BVRITN Employee ID: BVRIT01128
JNTUH Registration ID: 0622-230414-123949
AICTE Registration ID:
- Machine Learning
- Natural Language Processing
- Deep Learning
- ACM – Annual
- 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
- An Offensive Alert Based Novel Algorithm Of A Forced Entry Scheme In Wireless Ad hoc Network, International Journal Of Advanced Research and Innovation -Vol.7, Issue .I
- 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.
- 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.
- V. et al., “Stack-Based Ensembles for Robust Neural Image Captioning,” 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), New Delhi, India, 2024, pp. 1-6, doi: 10.1109/DELCON64804.2024.10866694.
- 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.
- U. Kiran, B. Priyanka, N. Nikhil, P. Jethin and N. S. Priya, “Image Super-Resolution Using ESRGAN Model,” 2025 10th International Conference on Research in Intelligent Computing in Engineering (RICE), Hyderabad, India, 2025, pp. 1-8, doi: 10.1109/RICE67503.2025.11439990.
- Mounika, B. Priyanka, P. Suresh, P. Nithin and P. H. Kiran, “Early Detection of Alzheimer’s Disease using Transfer Learning and Explainable AI,” 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), Lonavala, India, 2026, pp. 1-5, doi: 10.1109/I3CTCON68242.2026.11507550.
- Priyanka, G. U. Kiran, S. Sanapala, S. Jella, V. Karthik and V. Gopika, “Hybrid Motion Synthesis for Speech-to-Sign Translation Using Deterministic Linguistic Parsing and Gated Recurrent Units,” 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), Lonavala, India, 2026, pp. 1-7, doi: 10.1109/I3CTCON68242.2026.11507164.
- Introduction to Internet of Things – 12 Weeks, Jan–Apr 2025 (Elite).
- Responsible & Safe AI Systems – 12 Weeks, Jan–Apr 2024 (Elite).
- Privacy and Security in Online Social Media – 12 Weeks, Jan–Apr 2024 (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 a 40-hour Faculty Development Programme (FDP) on “Advanced Machine Learning Techniques: From Concepts to Real World Implementation,” organized by E&ICT Academy, NIT Warangal, in association with CBIT, Hyderabad, from 03rd to 12th February 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.