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Center for Multidisciplinary Research Excellence in Cyber-Physical Infrastructure Systems (MECIS) College of Engineering and Computer Science

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Center for Multidisciplinary Research Excellence in Cyber-Physical Infrastructure Systems (MECIS)

About Us - Related Links

  • Mission
  • Key Personnel
    • Executive Officers
    • Executive Committee
    • Partner Institutions
    • Advisory Board

Contact Us

Center for Multidisciplinary Research Excellence in Cyber-Physical Infrastructure Systems (MECIS)
EPOB4 13
Email: mecis@utrgv.edu
Phone: (956) 665-3070
Phone Alt: (956) 665-8878

Quick Links

  • NSF
  • NSF Award 4900
  • University of California, Riverside
  • University of Illinois Chicago
  • University of Illinois

About Us

The National Science Foundation CREST Center for Multidisciplinary Research Excellence in Cyber-physical Infrastructure Systems (MECIS) was established in Fall 2021 and operates as a consortium of four institutions: The University of Texas Rio Grande Valley (UTRGV) – Lead Institution, University of California Riverside, University of Illinois Chicago, and University of Illinois Urbana-Champaign. The lead institution is recognized by the U.S. Department of Education as a Title V Hispanic-Serving Institution, with 90% Hispanic enrollment.

The research conducted by the MECIS is organized in three synergistic subprojects, namely,

  1. Autonomy, which advances and transforms multidisciplinary knowledge in autonomous transportation infrastructure, encompassing computer vision, navigation and control, human-computer interaction, field and model-based testing, traffic network effects, and public acceptance and policy issues of autonomous transportation infrastructure systems;
  2. Sensors, which pushes the frontiers of sensing-enabled autonomous systems perception and smart infrastructure health monitoring through sensor design and deployment, encompassing computational simulation of sensor materials, chemical synthesis of sensor materials, 3D printing of sensor materials, 3D printing of lightweight unmanned aerial vehicles, and data-driven methods for infrastructure health prognostic and preventive maintenance; and 
  3. Artificial intelligence, which contributes to the state-of-the-art in AI-driven data management for cleaning, integration, compression, and retrieval of big data acquired from sensors, on one hand, and AI-empowered inference- and decision-making to provide actionable information for autonomous system operations, on the other hand.
One of the main objectives of the MECIS is to enhance student education and training through engagement in a variety of center activities including STEM summer camps, research experiences for graduate and undergraduate students, workshops, K-12 curriculum development, and community outreach projects. The opportunity to contribute to the research and development of new cyber-physical technologies with practical value attracts students and faculty to be a part of the MECIS. Creating pathways for students to pursue their master’s and doctoral studies in the areas of six science and engineering disciplines (including civil engineering, mechanical engineering, computer science, electrical and computer engineering, manufacturing and industrial engineering, and physics) is one of the most important center missions.
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