Research in AI and Machine Learning drives transformative advancements by developing intelligent systems capable of learning, adapting, and solving complex problems. Through innovations in algorithms, data analysis, and model interpretability, AI and ML research paves the way for impactful applications across diverse fields, from healthcare to finance.
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My research in Artificial Intelligence and Deep Learning focuses on developing advanced algorithms for machine learning, neural networks, and data-driven decision-making. I explore cutting-edge techniques to enhance model performance and solve complex problems in areas like natural language processing and computer vision.
My research in Artificial Intelligence and Deep Learning focuses on developing advanced algorithms for machine learning, neural networks, and data-driven decision-making. I explore cutting-edge techniques to enhance model performance and solve complex problems in areas like natural language processing and computer vision.
2024
2024
L. Zhen, M. Li, C. Chakraborty, J. Jiang, Ashok. Polavarapu and F. Alqahtani, "A Lightweight Transformer-Based Collision Detection and Load Estimation Scheme for Massive Random Access in 6G Satellite-Ground Integrated Vehicular Networks," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2025.3527073.
Synthetic data for Naval Combats using Generative Adversarial Networks - NAML 2024 Conference (Presented)
Dr. Manisha Guduri, Ashok Polavarapu, Dr. Martin Margala, “Synthetic data for Naval Combats using Generative Adversarial Networks”. (extension work - submitting)
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