Amit Sahai

Dedicated to building bridges between disciplines in computer science and mathematics, Amit Sahai serves as the Symantec Chair Professor of Computer Science and Professor of Mathematics at the University of California, Los Angeles. His pioneering work has significantly advanced the fields of cryptography, coding theory, complexity theory, and security. Among his notable contributions are the co-invention of attribute-based encryption, functional encryption, and indistinguishability obfuscation, which have become foundational in modern cryptographic practices. Professor Sahai's research interests span a wide array of topics, including secure program obfuscation and the foundations of computer security. His work often explores the intricate balance between theoretical underpinnings and practical applications, aiming to enhance the security and efficiency of software systems. By delving into the complexities of hiding secrets in software, he has opened new avenues for secure computing and data protection. Throughout his illustrious career, Sahai has been the recipient of numerous prestigious awards. In 2022, he was honored with the National Academy of Sciences Held Prize, recognizing his groundbreaking contributions to the field. His work has also been celebrated with four Test of Time Awards, underscoring the lasting impact of his research on the academic community and industry alike. In addition to his research achievements, Professor Sahai is highly regarded for his dedication to teaching and mentoring the next generation of computer scientists. In 2016, he was awarded the Lockheed Martin Excellence in Teaching Award, a testament to his commitment to educational excellence and his ability to inspire students through his passion for the subject. Professor Sahai continues to push the boundaries of what is possible in cryptography and computer security, fostering innovation and collaboration across disciplines. His work not only addresses current challenges but also anticipates future needs, ensuring that the field remains robust and adaptable in the face of evolving technological landscapes.