Center for Interdisciplinary Scientific Computation

Explain, Predict, and Optimize

2018 Seed Grant Competition

The Center for Interdisciplinary Scientific Computation (CISC) is offering seed grants of up to $40,000 for the 2018 calendar year to fund teams of investigators from at least two academic units.

Events

Browse the Center for Interdisciplinary Scientific Computation (CISC) calendar for past and upcoming events.
Center for Interdisciplinary Scientific Computation (CISC)

About

The Center for Interdisciplinary Scientific Computation (CISC) promotes transformative, cross-disciplinary research and education.

Scientific computation is devoted to the development and use of computational methods for scientific discovery in all branches of the sciences.  

It draws from ideas in computer science, life sciences, physical sciences, and mathematics.

The Center for Interdisciplinary Scientific Computation (CISC) promotes transformative, research and education through

    • Fostering interdisciplinary collaboration across academic units in scientific computation,
    • Strengthening external research funding,
    • Expanding the scientific computation community through education, training and support for students, creating and sustaining a diverse and inclusive environment,
    • Partnering in mutually beneficial ways with external organizations, and
    • Enhancing the university computing research infrastructure.

After extensive planning and strategic faculty hiring, the Center was approved by Illinois Tech in May 2017.


Director, Center for Interdisciplinary Scientific Computation (CISC)

Fred J. Hickernell is Director of the Center for Interdisciplinary Scientific Computation (CISC) and Professor of Applied Mathematics. His research focuses on increasing the efficiency of computer simulations and determining when to stopping simulations and be confident that the answers meet user-prescribed error requirements. A major area of interest is Monte Carlo methods, where the average or extreme behaviors of complex situations are determined by the outcomes of a large number of computer-generated scenarios. Financial risk, logistics, and high energy physics are three areas where Monte Carlo methods are prominent.

Hickernell’s research has been funded by the National Science Foundation and the Department of Energy. He and his research group have collaborated with scientists worldwide as well as with local industry. Hickernell is a Fellow of the Institute of Mathematical Statistics. In 2016 he received the Joseph F. Traub Prize for Achievement in Information-Based Complexity. He has served on the editorial boards of the Journal of Complexity, Mathematics of Computation, and the SIAM Journal on Numerical Analysis.

Center for Interdisciplinary Scientific Computation (CISC)

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