skip to main content
 Nancy M. Amato
Nancy M. Amato
Abel Bliss Professor of Engineering
(217) 333-3426
2248 Siebel Center for Comp Sci

For more information


Nancy M. Amato is Head of the Department of Computer Science and Abel Bliss Professor of Engineering at the University of Illinois at Urbana-Champaign. Previously, she was Unocal Professor and Regents Professor in the Department of Computer Science and Engineering at Texas A&M University where she co-directed the Parasol Lab. She was also Senior Director of Engineering Honors Programs in the College of Engineering and Co-Coordinator of the Computer Science and Engineering Track of Engineering Honors.

Amato received undergraduate degrees in Mathematical Sciences and Economics from Stanford University, an M.S. in Computer Science from UC Berkeley, and a Ph.D. in Computer Science from the University of Illinois. Her main areas of research focus are motion planning and robotics, computational biology and geometry, and parallel and distributed computing. She has graduated 23 PhD students, with most going on to careers in academia (10) or government or industry research labs (8), and the rest going to industry (3) or postdocs (2). She was program chair for the 2015 IEEE International Conference on Robotics and Automation (ICRA) and for Robotics: Science and Systems (RSS) in 2016. She is an elected member of the CRA Board of Directors (2014-2017, 2017-2020), was an elected member of the IEEE Robotics and Automation Society AdCom (2009-2011), was co-Chair of CRA-W (2014-2017) and co-chair of the NCWIT Academic Alliance (2009-2011).

Amato received the 2014 CRA Habermann Award, the inaugural NCWIT Harrold/Notkin Research and Graduate Mentoring Award in 2014, the 2013 IEEE HP/Harriet Rigas Award, and a Texas A&M AFS university-level teaching award in 2011 and a university-level research award in 2018. She received an NSF CAREER Award and is a Fellow of AAAI, AAAS, ACM and IEEE.

Research Interests

  • Parallel and distributed computing, parallel algorithms, performance modeling and optimization.
  • Motion planning, robotics, computational biology, computational geometry, animation, CAD.

Courses Taught

  • CS 491 - Professional Development
  • CS 591 - CS Colloquium
  • CS 591 - CS Speaker Series