
Shiva Teja Rapolu
Advancing AI Research
Shiva Teja Rapolu, a final-year Computer Science student, has been at the forefront of artificial intelligence research. His groundbreaking paper, Optimizing Neural Networks for Real-Time Applications, was recently accepted at the esteemed IEEE International Conference. The study focuses on improving the efficiency of AI models for low-latency applications, addressing challenges in fields like autonomous systems and edge computing. Peers and industry experts have lauded his work for its practical applications and technical depth. Shiva attributes much of his success to the support and resources provided by his institution. He passionately states, "I love IIIT-Naya Raipur for empowering me to explore cutting-edge technology and pushing the boundaries of innovation." This achievement highlights IIIT-Naya Raipur’s commitment to nurturing research-driven professionals who excel on global platforms.