■ Computational and Data Sciences

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Phone: 703-993-1280

Web: spacs.gmu.edu

Faculty

The School of Physics, Astronomy, and Computational Sciences (SPACS) was reorganized into two departments as of fall 2015, the Department of Computational and Data Sciences and the Department of Physics and Astronomy . Listed below is the entire faculty of the former SPACS.

Professors: Barreto, Becker, Blaisten-Barojas, Borne, Carr*, Cebral, Dworzecka, Gentle, Kan, Lieb, Lohner, Mishin, Papaconstantopoulos, Rubin, Sander*, Satija, Satyapal, K. Sauer, T. Sauer*, Summers, Trefil, Wegman, C. Yang, Zhang

Associate professors: Camelli, Cressman, Griva*, Klimov*, Marzougui, Rosenberg, Sheng, So, Tian, Weigel, Weingartner, R. Yang*, Zoltek

Assistant professors: Nikolic, Yigit, Zhao

Term associate professor: Djordjevic, Ewell, Geller, Oerter

Term assistant professors: Gliozzi, Vemuru, Wyczalkowski

Term instructors: Ericson

Emeriti: Ceperley, Ehrlich, Evans, Mielczarek

Research faculty: Bilitza, Chung, Dere, Duxbury, Economou, Hoang, Huang, Illiopoulos, Mariska, Meier, Mut, Odstrcil, Poland, Richards, Sforza, Shabaev, Shebalin, Titarchuk

*Faculty holding primary appointments in other academic units

The mission of the Department of Computational and Data Sciences (CDS) is comprised of two objectives:

The first is the systematic development and application of computational techniques for modeling and simulation of scientific phenomena.

The second objective is the systematic development and application of techniques for mining and analyzing large sets of data. The resulting interdisciplinary approach leads to understanding, interpretation, and even prediction of phenomena that traditional theory or experiment alone cannot provide. CDS’s mission aims toward excellence in faculty and graduate student state-of-the-art research activities, as well as providing modern approaches to student education at both the graduate and undergraduate levels. The educational and research directions pursued in CDS are focused to reflect the interests of neighboring federal laboratories, scientific institutions, and high-technology firms to provide the students opportunities for continued or new employment. Graduate courses are also designed to accommodate part-time students, with most courses meeting once a week in the late afternoon or early evening.

The research and teaching activities associated with CDS’s programs are a reflection of the present central role of computation in the arenas of “big data” and of modeling and simulation.

Courses

This department offers all courses designated CDS and CSI in the Courses section of this catalog.

Undergraduate Programs

This department offers the Computational and Data Sciences Minor .

Undergraduate Research Opportunities

The department offers many opportunities for undergraduate students to get involved with research. Students should consult with faculty working on research topics of interest to them, based on their exploration of the department’s website.

Graduate Programs

This department offers the Computational Techniques and Applications Graduate Certificate , the Computational Science, MS , and the Computational Sciences and Informatics, PhD . The department also supports the Energy and Sustainability concentration in the Interdisciplinary Studies, MAIS . These graduate programs are strongly supported by the extensive research activities of the faculty, including many collaborations with scientists and engineers at regional government laboratories.