Ph.D.: Data Mining, Jawaharlal Nehru Technical University, Hyderabad, 2022
PG: M.Tech (Neural Networks), Jawaharlal Nehru Technical University, Kakinada, 2010,
UG: B.Tech (CSE), Jawaharlal Nehru Technical University, Hyderabad, 2006.
Teaching Experience: 18 Years 05 Months
Research Experience: 10 Years 06 Months
Industry Experience:
Contact Number: +91 9885172564
BVRITN Employee ID: 381
JNTUH Registration ID: 90150404-115955
AICTE Registration ID: 1-2898618269
Dr. G. Uday Kiran received Ph.D. (Data Mining) from Jawaharlal Nehru Technological University Hyderabad M.Tech (Neural Networks) from Jawaharlal Nehru Technological University Kakinada. Currently, he is working as an Associate Professor in the Department of CSE (Artificial Intelligence and Machine Learning), B V Raju Institute of Technology, and has 14 Years of Teaching Experience.
- Deep Learning.
- Computer Vision and Image Processing.
- Speech and Natural Language Processing.
- Agentic AI
- Data Mining and Analytics.
- Theory of Computation and Compilers.
- IEEE Member, Hyderabad Section
- ACM Member
- AMIEE Lifetime Membership
- National AI Olympiad 2025 – Secured All India Rank 58 and State Rank 7 in the Professional category, organized by TalentSprint (part of Accenture). Scored 81.43%, placing in the 88.71st percentile.
- Completed Two Courses (Speech Signal Processing and Natural Language Processing) in IIIT Hyderabad (PGSSP Monsoon 2013).
- Qualified in Faculty Eligibility Test (FET) in Dec 2010 conducted by JNTU Hyderabad.
NPTEL Achievements:
Roll Number | Category | Timeline |
NPTELSS21904001941 | NPTEL Enthusiasts | Jul-Dec 2019 |
NPTELSS22205101568 | NPTEL Discipline Stars | Jul-Dec 2022 |
NPTELSS2250108196 | NPTEL Discipline Stars | Jul-Dec 2025 |
- 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, No 5, pp. 14-30, 2025.
- Lella, K.K., Thatha, V.N., Pamula, U., Uday Kiran, G., Jagadesh, B.N., Vatambeti, R., “Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis”, IEEE Access, Vol 12, pp. 28972-28987, 2024. DOI: 10.1109/ACCESS.2024.3367889.
- Bhagat, H.V., Uday Kiran, G., Singh, M., “ImpClust: An Algorithm to Cluster Chemical Datasets for Drug Discovery”, International Journal of Intelligent Engineering and Systems, Vol 17, No 1, pp. 54-64, 2024. DOI: 10.22266/ijies2024.0229.06.
- G Uday Kiran, Sneha Raga Soujanya, M Mounika, Narasimha Chary CH, “A Machine Learning Pipeline and Application for Automatic Classification of Clinical Documents”, International Journal on Recent and Innovation Trends in Computing and Communication, Vol 11, Issue 10, 2023. DOI:17762/ijritcc.v11i10.8512.
- Stateczny, A., Uday Kiran, G., Bindu, G., Ravi Chythanya, K.R., Ayyappa Swamy, K., “Spiral Search Grasshopper Features Selection with VGG19-ResNet50 for Remote Sensing Object Detection”, Remote Sensing, Vol 14, No 21, pp. 5398, 2022. DOI: 10.3390/rs14215398.
- Sivakami, R., Uday Kiran, G., Arun, M., David, L.G., Manur, M., “Dirichlet Feature Embedding with Adaptive Long Short-Term Memory Model for Intrusion Detection System”, Journal of System and Management Sciences, Vol 12, No 4, pp. 398-412, 2022. DOI: 10.33168/JSMS.2022.0428.
- G Uday Kiran, D Vasumathi, “Predicting Parkinson’s Disease using Extreme Learning Measure and Principal Component Analysis based Mini SOM”, Annals of the Romanian Society for Cell Biology, Vol 25, No 4, 2021.
- Uday Kiran, G., Vasumathi, D., “Disease detection using enhanced K-means clustering and davies-bouldin index in big data-safe engineering application”, Journal of Green Engineering, Vol 10, No 12, pp. 13089-13106, 2020.
- Uday Kiran, G., Vasumathi, D., “Overlap clustering technique based on the improved hierarchical agglomerative clustering”, Journal of Green Engineering, Vol 10, No 11, pp. 11594-11607, 2020.
- G Uday Kiran, “A Hybrid Clustering Algorithm to Reduce Dimensions and Optimal Selection of K-Centroids for Healthcare Datasets”, Journal of Applied Science and Computations, Vol 07, Issue 11, pp 110-119, 2020.
- Uday Kiran, G., Srilakshmi, V., Reddy, G.J.P., Divya, B., Laxmi, H.B., “SynapGraph: A Lightweight Adaptive Spatio-Temporal GNN for Robust EEG Emotion Recognition”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
- Uday Kiran, G., Srilakshmi, V., Padmini, G., Anvith Reddy, G., Sai Shivani, B., “VISAGE-X: Interpretable Graph-Based and Explainable Scene Reasoning for Vision-Language Understanding”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
- Uday Kiran, G., Diana, P.H., Bineesha, P., Paswan, S., Veerasekharreddy, B.V.S., “Integrating Knowledge Graph Reasoning for Explainable Question Answering in NLP Systems”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
- Lavanya, B., Uday Kiran, G., Srilakshmi, V., Laukya, G., Karthik Reddy, L., “Integrating Knowledge Graph Reasoning for Explainable Question Answering in NLP Systems”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
- Srilakshmi, V., Varun Reddy, V., Uday Kiran, G., Snigdha, K.S., Josiah, D.C., “Enhancing Aspect-Based Sentiment Analysis Through Knowledge Graphs and Multiview Representation Learning”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
- Priyanka, B., Uday Kiran, G., Sanapala, S., Karthik, V., Gopika, V.S., “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 2026), 2026.
- Veerasekharreddy, B.V.S., Thatha, V.N., Bellamkonda, S., Uday Kiran, G., Sanapala, S., “A hybrid ensemble classification model for predicting heart diseases”, AIP Conference Proceedings, Vol 3342, No 1, pp. 030039, 2025.
- Srilakshmi, V., Uday Kiran, G., Moulika, B., Laukya, G., Ruthick, M., “Integrating NAS for Human Pose Estimation”, Procedia Computer Science, Vol 252, pp. 182-191, 2025.
- Uday Kiran, G., Srilakshmi, V., Padmini, G., Ramana, V.B., Reddy, P.G., “Neural Architecture Search-Driven Optimization of Deep Learning Models for Drug Response Prediction”, Procedia Computer Science, Vol 252, pp. 172-181, 2025.
- Uday Kiran, G., Chaitanya, K., Sreenidhi, G., Prabhakar Nathan Raju, K., Prashanth, B., “AI-Powered Allergen Prediction Using Protein Language Model”, 2025 10th International Conference on Research in Intelligent Computing in Engineering (RICE 2025), 2025.
- Uday Kiran, G., Priyanka, B., Nikhil, N., Jethin, P., Priya, N.S., “Image Super-Resolution Using ESRGAN Model”, 2025 10th International Conference on Research in Intelligent Computing in Engineering (RICE 2025), 2025.
- Srilakshmi, V., Uday Kiran, G., Akhila, P., Abhinav Reddy, K., Varun Reddy, E., “Automated Retinal Image Analysis for Early Detection of Eye Disorders”, 2025 10th International Conference on Research in Intelligent Computing in Engineering (RICE 2025), 2025.
- Uday Kiran, G., Srilakshmi, V., Sai Sreeja, S., Karthik, V., Sridar Chowdary, P., “Cache-Optimized Shared Embedding Space For Seamless Cross-Modal Search”, 8th World Engineering Conference on Contemporary Technologies (WECON 2025): NextGen Sustainable Technologies, 2025.
- Srilakshmi, V., Uday Kiran, G., Sai Sreeja, S., Karthik, V., Sridar Chowdary, P., “Cache-Augmented Multimodal Sentiment Detection Using Embedding Systems”, 8th World Engineering Conference on Contemporary Technologies (WECON 2025): NextGen Sustainable Technologies, 2025.
- Uday Kiran, G., Srilakshmi, V., Mounika, M., Padmini, G., Dubey, S., “Exploring the Impact of Neural Architecture Search on Human Pose Detection Techniques”, Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications (Inc4 2025), 2025.
- Srilakshmi, V., Uday Kiran, G., Priyanka, B., Smarandas, K., Prashanth, C.S.R.K., “Stack-Based Ensembles for Robust Neural Image Captioning”, Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON 2024), 2024.
- Uday Kiran, G., Srilakshmi, V., Harshith, K.S., Mokshith, L.V.S., Sowmya, A., “Learning Correspondences Across Domains for Exemplar-Based Image Translation”, Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON 2024), 2024.
- Uday Kiran, G., Srilakshmi, V., Padmini, G., Priyanka, B., Bhagya Laxmi, H., “One-Shot Stylization for Transformative Facial Art using StyloMorph”, Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON 2024), 2024.
- Uday Kiran, G., Srilakshmi, V., Moulika, B., Laukya, G., Ruthick, M., “Unlearning”, 4th International Conference on Sustainable Expert Systems (ICSES 2024) – Proceedings, pp. 1115-1121, 2024.
- Changala, R., Lakshmi, H.N., Krishna, G.V., Uday Kiran, G., Thatha, V.N., “Sentiment analysis Optimization using Hybrid Machine Learning Techniques”, 2024 Parul International Conference on Engineering and Technology (PICET 2024), 2024.
- Uday Kiran, G., Gandi, R., Lavanya, M., Rao, C.U., Veerasekharreddy, B.V.S., “Deep Learning based Abstractive text Summarization: A Survey”, 2024 Parul International Conference on Engineering and Technology (PICET 2024), 2024.
- Uday Kiran, G., Gajula, S., Sravanthi, A., Veditha, T., Reddy, D.V., “Inception V3 Model-Based Approach for Detecting Defects on Steel Surfaces”, 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT 2024), pp. 331-335, 2024.
- Uday Kiran, G., Srilakshmi, V., Deepika, R., Vamsi, R.M., Srivarsha, T., “Intelligence for Image Classification”, Procedia Computer Science, Vol 230, pp. 669-678, 2023.
- Srilakshmi, V., Uday Kiran, G., Mounika, M., Akhil, V.N.S., Manasa, M., “Evolving Convolutional Neural Networks with Meta-Heuristics for Transfer Learning in Computer Vision”, Procedia Computer Science, Vol 230, pp. 658-668, 2023.
- Veerasekharreddy, B.V.S., Thatha, V.N., Uday Kiran, G., Raja Sekhar Reddy, N.V., Raju, Y.R., “Diet Recommendation System for Human Health Using Machine Learning”, 7th IEEE International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS 2023) – Proceedings, 2023.
- Kusumasri, B., Srilakshmi, V., Satyavada, S., Uday Kiran, G., “Crop Recommendation Application using Ensemble Classifiers”, 2nd Edition of IEEE Delhi Section Owned Conference (DELCON 2023) – Proceedings, 2023.
- Joy, S., Savadatti, M.B., Mukesh, T.B., Ahmed, M.M., Uday Kiran, G., “Real Time Road Lane Detection using Computer Vision Techniques in Python”, International Conference on Automation, Computing and Renewable Systems (ICACRS 2022) – Proceedings, pp. 1228-1232, 2022.
- Srilakshmi, V., Uday Kiran, G., Guntupalli, Y., Gayathri, C.N., Raju, A.S., “Automatic Visual Inspection – Defects Detection using CNN”, 6th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2022) – Proceedings, pp. 584-589, 2022.
- Uday Kiran, G., Srilakshmi, V., Nandhini, C.H., Gagan Chandra, B., Yamini Keerthi, K., “Estimating 3D Human Pose using Point Based Pose Estimation and Single Stage Method”, ICAN 2022 – 3rd International Conference on Computing, Analytics and Networks – Proceedings, 2022.
- Uday Kiran, G., Srilakshmi, V., Hussain, M.M., “Deep learning Support Vector Machine Application Management for Prediction Binding Elements”, 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE 2022), pp. 2493-2497, 2022.
S.No | Course | Duration | Month & Year | Grade |
1 | Exploratory Data Analysis for Data Science with R Software | 8 Weeks | April, 2026 | Elite |
2 | Neural Networks for Computer Vision and Natural Language Processing | 8 Weeks | April, 2026 | Elite + Gold |
3 | Introduction to Graph Algorithms | 12 Weeks | April, 2025 | Elite |
4 | Introduction to Large Language Models (LLMs) | 8 Weeks | April, 2025 | Pass |
5 | Responsible & Safe AI Systems | 8 Weeks | December, 2024 | Elite |
6 | Mathematics for Machine Learning | 8 Weeks | December, 2024 | Elite + Silver |
7 | Privacy and Security in Online Social Media | 8 Weeks | December, 2024 | Elite + Silver |
8 | Introduction To Soft Computing | 8 Weeks | December, 2024 | Elite |
9 | Machine Learning And Deep Learning – Fundamentals And Applications | 12 Weeks | December, 2023 | Pass |
10 | Business Analytics & Text Mining Modeling Using Python | 8 Weeks | December, 2023 | Elite + Silver |
11 | Natural Language Processing | 12 Weeks | December, 2023 | Successfully Completed |
12 | Applied Accelerated Artificial Intelligence | 12 Weeks | December, 2022 | Elite |
13 | Learning Analytics Tools | 12 Weeks | December, 2022 | Elite |
14 | Python for Data Science | 4 Weeks | April, 2022 | Elite + Silver |
15 | NBA Accreditation and Teaching – Learning in Engineering (NATE) | 12 Weeks | December, 2021 | Elite + Silver |
16 | Artificial Intelligence: Knowledge Representation And Reasoning | 12 Weeks | December, 2020 | Successfully Completed |
17 | Data Science for Engineers | 8 Weeks | December, 2019 | Elite |
18 | Accreditation and Outcome based Learning | 8 Weeks | December, 2019 | Elite + Silver |
19 | Natural Language Processing | 12 Weeks | December, 2019 | Pass |
20 | Machine Learning for Engineering and Science Applications | 12 Weeks | April, 2019 | Pass |
21 | Introduction to Automata, Languages and Computation | 12 Weeks | April, 2019 | Elite |
- One Week FDP for “Exploratory Data Analysis for Data Science with R Software”.
- One Week FDP for “Neural Networks for Computer Vision and Natural Language Processing”.
- One and Half Week FDP for “Introduction to Graph Algorithms”.
- One Week FDP for “Introduction to Large Language Models (LLMs)”.
- One Week FDP for “Responsible & Safe AI Systems”.
- One Week FDP for “Mathematics for Machine Learning”.
- One Week FDP for “Privacy and Security in Online Social Media”.
- One Week FDP for “Introduction To Soft Computing”.
- One and Half Week FDP for “Machine Learning And Deep Learning – Fundamentals And Applications”.
- One Week FDP for “Business Analytics & Text Mining Modeling Using Python”.
- One and Half Week FDP for “Natural Language Processing”.
- One and Half Week FDP for “Applied Accelerated Artificial Intelligence”.
- One and Half Week FDP for “Learning Analytics Tools”.
- Half Week FDP for “Python for Data Science”.
- One and Half Week FDP for “NBA Accreditation and Teaching – Learning in Engineering (NATE)”.
- One and Half Week FDP for “Artificial Intelligence: Knowledge Representation And Reasoning”.
- One Week FDP for “Data Science for Engineers”.
- One Week FDP for “Accreditation and Outcome based Learning”.
- One and Half Week FDP for “Natural Language Processing”.
- One and Half Week FDP for “Machine Learning for Engineering and Science Applications”.
- One and Half Week FDP for “Introduction to Automata, Languages and Computation”.
Industry Certifications:
- Extensive Vision AI 4 Program
Coursera:
- Deep Learning Specialization offered by Deeplearning.ai
- Machine Learning Specialization offered by the University of Washington
- AWS Fundamentals Offered by AWS
EdX
- Deep Learning with Python and PyTorch
IIT Bombay EdX Course:
- LaTeX for Students, Engineers, and Scientists
- Member – IQAC Institute Committee
- Member – Board of Studies – CSE
- CSE Department NBA Coordinator
- CSE Department NAAC Coordinator
- CSE Department Curriculum Coordinator
- Member of a Funding Project “Virtual Assistant for Mobile Devices using Voice and Gesture Technologies” Technologies, Funded by ITRA, New Delhi.