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Department of Artificial Intelligence & Data Science

S.No Name(s) of the Author Title National / International Conference Name Year
1 Mr. Rakesh Kancharla An Explainable and Uncertainty-Aware Machine Learning Framework for Reliable Dermatological Disease Diagnosis INT Proceedings of the 3rd International Conference on Innovations in Cybersecurity and Data Science, ICICDS 2026 2026
2 Mrs. Sumalatha Kanaparthi ARMOR-Net: Adaptive ML-based Reconnaissance and Object Recognition Network for Smart Defence Surveillance Systems INT Proceedings of the International Conference on Smart Electronic Devices and Intelligent Systems, ICSEDIS 2026 2026
3 Dr. Sai Babu Veesam Context-Preserving Video Summarization Pipeline for Real-Time Intelligent Anomaly Detection INT IEEE International Conference on Emerging Synergy Science and Technology, ICESST 2026 2026
4 Dr. Sai Babu Veesam Energy Guided Deep Biomechanical Modelling for Physiology Aware Muscle Strain Estimation Using Pose Dynamics INT Procedia Computer Science 2026
5 Mr. Thippagudise Kishore Babu Comparative Evaluation of Machine Learning Models for Hypertension Prediction INT Proceedings of 7th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2026 2026
6 Dr. Valeti Nagarjuna Lightweight and Efficient Hand Gesture Recognition using the MobileNetV2 and Dynamic Hand Aware Attention Mechanism INT 4th International Conference on Integrated Circuits and Communication Systems, ICICACS 2026 2026
7 Dr. Venkaiah Chowdary Bhimineni EnML-LrXgRf: An Ensemble Technique for Prognosticating Diabetes Mellitus INT Lecture Notes in Electrical Engineering 2026