S. Shankar Sastry
Electrical Engineering and Computer Sciences
University of California Berkeley
About Professor S. Shankar Sastry
The University of California, Berkeley, is a global leader in higher education, consistently recognized for its transformative contributions to science and technology. At the heart of this prestige is the Department of Electrical Engineering and Computer Sciences (EECS), a top-tier program renowned for its rigorous academic standards and culture of innovation. Berkeley EECS provides a world-class environment where interdisciplinary research flourishes, attracting elite scholars and industry partners alike. The department’s legacy of excellence is built on its ability to tackle complex societal problems through cutting-edge engineering, making it an ideal destination for those seeking to shape the future of information technology and intelligent systems.
🧬Research Focus
Professor S. Shankar Sastry’s research is instrumental in advancing the theory and practice of autonomous systems. His work spans a broad spectrum of disciplines, including embedded systems, cyber-physical systems, and nonlinear control. By integrating adaptive control and hybrid systems with computer vision and perception, he develops robust frameworks for aerial robots and autonomous vehicles. These research efforts are critical for the deployment of safety-critical AI and large-scale intelligent systems in real-world environments. His innovations in computational imaging and biologically inspired motor control continue to influence the field, driving significant breakthroughs in how networked machines interact with the physical world securely and efficiently.
🎓Student Fit & Career
Prospective PhD students who thrive under Professor Sastry’s academic mentorship are those with a deep interest in the mathematical foundations of robotics and control theory. Ideal candidates for this graduate research environment possess strong analytical skills and a desire to work on interdisciplinary projects that combine software, hardware, and advanced algorithms. The research group values students who are intellectually curious and capable of navigating both theoretical research and practical engineering challenges. Graduates are uniquely positioned for successful career paths, often transitioning into prestigious faculty positions or leading research and development roles within the global technology sector, specializing in AI, autonomy, and cyber-physical security.
Research Areas
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