Hard optimization and constraint satisfaction problems, as one of the ultimate challenges to computing systems, is benefiting from increasing interests in novel computational paradigms, such as analog computing, neuromorphic computing and quantum computing.

The purpose of the workshop on "Non-conventional Approaches to Hard Optimization (NAHO’17)" is to bring together researchers working on developing novel approaches (both hardware and theory) for solving hard constraint satisfaction and optimization problems. The workshop will provide a platform for these researchers to exchange advances in each of their respective areas, compare and critique each other’s approaches, and forge new, collaborative relationships.

All the presentations will be given by invited speakers who are experts from various areas, e.g., theory, algorithm and system design, architecture and circuits as well as applications. To stimulate discussions, the workshop will also have a panel and poster session. All participants are encouraged to submit posters. If you plan to present a poster, please email the organizers.

NSF has graciously provided limited travel support to participants who face travel budget difficulties. If you would like to apply for the travel support, please contact the organizers.

More details about participation and posters can be found at: https://naho.nd.edu/


Date & Location

Thursday, November 16, 2017

Irvine Marriott,
Irvine, CA

Inportant Dates

Advanced Registration Deadline:
October 10, 2017

Poster Notification Deadline: November 1, 2017

Workshop Date:
November 16, 2017

Co-located with


X. Sharon Hu

Department of Computer Science and Engineering,
University of Notre Dame

ZoltanZoltán Toroczkai

Physics Department, Concurrent Professor, Department of Computer Science and Engineering,
University of Notre Dame