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Anca Dragan

Electrical Engineering and Computer Sciences (EECS)

University of California Berkeley

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About Professor Anca Dragan

The University of California Berkeley stands as a global leader in technological innovation, particularly within its Department of Electrical Engineering and Computer Sciences (EECS). Renowned for its rigorous academic environment and pioneering spirit, Berkeley EECS consistently ranks among the top programs worldwide. This department provides a vibrant ecosystem where interdisciplinary collaboration thrives, supported by world-class facilities and a legacy of transformative breakthroughs. As a cornerstone of the Silicon Valley research landscape, the department attracts exceptional faculty and students dedicated to solving the world’s most pressing technical challenges through foundational science and applied engineering excellence.

🧬Research Focus

Within this prestigious framework, Associate Professor Anca Dragan leads the InterACT Lab, where she spearheads research at the intersection of robotics and human-compatible AI. Her work develops mathematical frameworks to ensure robots behave intuitively and align with human intentions. By leveraging optimal control, game theory, and reinforcement learning, Dragan explores how machines can navigate complex social dynamics. Her research spans diverse applications, from assistive robotic arms to the safety protocols of autonomous driving. Through her leadership in the Berkeley AI Research (BAIR) Lab and the Center for Human-Compatible AI, she addresses the critical challenge of ensuring advanced AI systems remain beneficial and responsive to human values.

🎓Student Fit & Career

Prospective PhD students who thrive under Professor Dragan’s academic mentorship typically possess a strong foundation in mathematics, computer science, and a burgeoning interest in cognitive science. Successful candidates for graduate research are often driven by a desire to bridge the gap between algorithmic theory and human-centric applications. This collaborative environment fosters critical thinking and technical proficiency, preparing scholars for influential career paths in both academia and industry. Graduates are well-positioned to become leaders in robotics engineering and AI safety, contributing to the development of intelligent systems that work harmoniously alongside people in everyday environments.

Research Areas

roboticshuman-robot interactionhuman-compatible AIoptimal controlgame theoryreinforcement learning

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