About Śūnya Labs
Śūnya Labs, established in 2017 at the Rajagiri School of Engineering & Technology (RSET), is a pioneering research center driving advancements in Advanced Computing and Communications. As an integral part of RSET, Śūnya Labs embodies the institution's commitment to excellence in technology, innovation, and practical learning. The lab serves as a hub where cutting-edge research meets real-world applications, generating breakthroughs that benefit industries and communities. Equipped with state-of-the-art facilities and a collaborative environment, Śūnya Labs fosters a platform where ideas thrive, knowledge is shared, and solutions are developed.
Integrating with RSET's educational framework, Śūnya Labs encourages student engagement in its projects, offering undergraduates exposure through internships and graduate students opportunities as research assistants. This synergy between Śūnya Labs and RSET ensures students gain hands-on experience, preparing them to lead in the evolving tech landscape. With a team of multidisciplinary experts, the lab drives a culture of innovation, exploration, and forward-thinking research.
Śūnya Labs' research focuses on three primary domains:
Artificial Intelligence & Data Science:
This domain covers intelligent systems capable of reasoning, perception, and adaptive behavior. Research includes AI, computer vision, natural language processing, machine learning, video analysis, and predictive systems. Projects aim to advance intelligent transportation, blockchain technology, and high-performance computing (HPC).
Systems:
Research in systems focuses on principles and tools for hardware and software infrastructures, including compilers, chip design, operating systems, programming languages, and distributed computing. Efforts are directed toward optimizing performance, enhancing efficiency, and ensuring robust solutions for modern computing environments.
Theory:
The lab's theoretical research explores the mathematical foundations of computation. Key areas include algorithms, complexity theory, cryptography, distributed computing, and quantum computing. This research provides the groundwork for future technological innovations and improved encryption techniques.