Ph.D.: Purusing, NIT Warangal.
M.Tech.: Computer Science & Engineering, VTU (Belgaum), 2012.
B.E.: Computer Science & Engineering, VTU (Belgaum), 2007.
Teaching Experience: 13 Years 05 Months
Research Experience: 04 Years 08 Months
Industry Experience:
Contact Number: +918617875372
BVRITN Employee ID: 808
JNTUH Registration ID: 1424-170103-185635
AICTE Registration ID: 1 – 3377521569
- 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 34 and State Rank 2 in the Professional category, organized by TalentSprint (part of Accenture). Scored 87.14%, placing in the 93.74 percentile.
- Qualified GATE 2025 in the Stream of DA.
- Qualified the UGC NET – July 2018 for eligibility of Assistant Professor.
- Qualified the Karnataka SET – May 2018 for eligibility of Assistant Professor.
- Qualified the Telangana SET – July 2018 for eligibility of Assistant Professor.
NPTEL Achievements:
Roll Number | Category | Timeline |
NPTELSS1240103519 | NPTEL Discipline Stars | Jan-Apr 2024 |
NPTELSS1260109424 | NPTEL Discipline Stars | Jan-Apr 2026 |
- 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.
- Stella Maragatham, R., Baker El-Ebary, Y.A., Srilakshmi, V., Sreenivasa Rao, V., Godla, S.R., “Enhancing HCI Through Real-Time Gesture Recognition with Federated CNNs: Improving Performance and Responsiveness”, International Journal of Advanced Computer Science and Applications, Vol 15, No 4, pp. 859-868, 2024.
- Praveena, H.D., Srilakshmi, V., Rajini, S., Kolluri, R., Manur, M., “Balancing module in evolutionary optimization and Deep Reinforcement Learning for multi-path selection in Software Defined Networks”, Physical Communication, Vol 56, pp. 101956, 2023.
- 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.
- 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.
- 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.
- 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., Padmini, G., Sri Snigdha, K., Siva Praneetha, K., “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., “Securing Personal Identity in Facial Recognition: The Shift to Machine Unlearning”, 4th International Conference on Sustainable Expert Systems (ICSES 2024) – Proceedings, pp. 1115-1121, 2024.
- Nagavelli, U., Sreeja, T., Srilakshmi, V., Vijay Kumar, M., “Precision Agriculture with Remote Sensing: Integrating Deep Learning for Crop Monitoring”, Sustainable Farming through Machine Learning Enhancing: Productivity and Efficiency, pp. 174-187, 2024. (Book Chapter)
- Chegoni, R., Srilakshmi, V., Rajendran, R., Changala, R., Thatha, V.N., “Image Classification Using Optimized Convolution Neural Network”, 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., “Dynamic Ensemble Learning with Evolutionary Programming and Swarm 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.
- Kiran, A., Vidhya, V., Duvvuri, B.K., Srilakshmi, V., Paulraj, D., “An AI Based Chat Bot For Banking Applications using Intelligent Chat Bots”, 2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE 2023), 2023.
- Thatha, V.N., Veerasekharreddy, B.V.S., Gaddam, V., Maddu, S., Srilakshmi, V., “An Enhanced Support Vector Machine Based Pattern Classification Method for Text Classification in English Texts”, 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.
- Srilakshmi, V., Chakradhar, K.S., Suneetha, K.R., Yamsani, N., Reddy Madhavi, K., “Artificial Intelligence for Detecting Prevalence of Indolent Mastocytosis”, Lecture Notes in Networks and Systems, Vol 648 LNNS, pp. 33-43, 2023.
- 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.
- Participated in International Conference ICMCECE – 16 and presented a paper on “Storage Solutions in Hadoop “in BTI, Bangalore on April 23, 2016.
S.No | Course | Duration | Month & Year | Grade |
1 | Exploratory Data Analysis for Data Science with R Software | 8 Weeks | April, 2026 | Elite + Silver |
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 | Scalable Data Science | 8 Weeks | April, 2025 | Pass |
5 | Introduction to Large Language Models (LLMs) | 8 Weeks | April, 2025 | Elite |
6 | Responsible & Safe AI Systems | 8 Weeks | December, 2024 | Elite + Silver |
7 | Mathematics for Machine Learning | 8 Weeks | December, 2024 | Elite + Gold |
8 | Privacy and Security in Online Social Media | 8 Weeks | December, 2024 | Elite + Silver |
9 | Introduction To Soft Computing | 8 Weeks | December, 2024 | Elite + Silver |
10 | Machine Learning And Deep Learning – Fundamentals And Applications | 12 Weeks | December, 2023 | Elite |
11 | Business Analytics & Text Mining Modeling Using Python | 8 Weeks | December, 2023 | Elite + Silver |
12 | Natural Language Processing | 12 Weeks | December, 2023 | Elite |
13 | Applied Accelerated Artificial Intelligence | 12 Weeks | December, 2022 | Elite |
14 | Learning Analytics Tools | 12 Weeks | December, 2022 | Elite + Silver |
15 | Python for Data Science | 4 Weeks | April, 2022 | Elite + Silver |
16 | Deep Learning for Computer Vision | 12 Weeks | December, 2020 | Pass |
17 | NBA Accreditation and Teaching – Learning in Engineering (NATE) | 12 Weeks | December, 2020 | Elite |
18 | Data Science for Engineers | 8 Weeks | December, 2019 | Elite + Silver |
19 | Operating System Fundamentals | 12 Weeks | December, 2019 | Elite |
20 | Natural Language Processing | 12 Weeks | December, 2019 | Elite |
21 | Machine Learning for Engineering and Science Applications | 12 Weeks | December, 2019 | Elite |
22 | Introduction to Automata, Languages and Computation | 12 Weeks | December, 2019 | Elite + Silver |
23 | Programming, Data Structures and Algorithms using Python | 8 Weeks | December, 2019 | Pass |
24 | Design and Analysis of Algorithms | 8 Weeks | December, 2019 | Elite |
25 | Introduction to Machine Learning | 12 Weeks | December, 2018 | Elite |
26 | Programming, Data Structures and Algorithms using Python | 8 Weeks | December, 2018 | Pass |
- 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 “Scalable Data Science”.
- 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”. (December 2023)
- 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 “Deep Learning for Computer Vision”.
- One and Half Week FDP for “NBA Accreditation and Teaching – Learning in Engineering (NATE)”.
- One Week FDP for “Data Science for Engineers”.
- One and Half Week FDP for “Operating System Fundamentals”.
- One and Half Week FDP for “Natural Language Processing”. (December 2019)
- 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”.
- One Week FDP for “Programming, Data Structures and Algorithms using Python”. (December 2019)
- One Week FDP for “Design and Analysis of Algorithms”.
- One and Half Week FDP for “Introduction to Machine Learning”.
- One Week FDP for “Programming, Data Structures and Algorithms using Python”. (December 2018).
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