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The Introduction of NSF CREST Center for Research on Complex Networks at Texas Southern University

Faculty #28
Discipline: Computer Sciences and Information Management
Subcategory: STEM Science and Mathematics Education

Wei Wayne Li - Texas Southern University


The new Center’s multiple disciplinary team comprises a total of 14 world-class faculty scholars representing 6 different departments in the College of Science and Technology, including Departments of Computer Science, Transportation Studies, Physics, Engineering Technology, Mathematics, and Chemistry. The funded Center will have a great impact on students at TSU by financially supporting a minimum of 15 undergraduate and graduate students each year in the next five years, providing them the opportunity to work with faculty on the cutting-edge research and development. The mission of this NSF Center is to conduct innovative and multidisciplinary research in the area of complex networks, which will provide a knowledge base for the understanding of complex networks, i.e. energy efficient wireless sensor networks, urban transportation environmental networks, and distributed computational networks, allowing for the development and implementation of policies for global environmental sustainability. The research will be integrated with the science, technology, engineering and mathematics (STEM) education programs, particularly striving to expand the pool of minority and underrepresented students who pursue advanced graduate studies in STEM fields, to meet the critical workforce needs of the nation. The Center will promote and implement diversity in STEM disciplines, through educational outreach initiatives and extensive effort to recruit, retain and train members of underrepresented minority groups. The attempt is to prepare minority students for leadership positions in the fast-changing global, scientific, engineering, and government sectors.

Funder Acknowledgement(s): National Science Foundation Grant # HRD-1137732.

Faculty Advisor: None Listed,

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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