Mechanical Engineering Seminar
Title: |
Integrated Data Analytics Scheme to Enable Data-Driven Decision Making in Emerging Clean and Cybersecure Manufacturing Systems |
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Speaker: |
Dr. Krystel Castillo |
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Affiliation: |
The University of Texas at San Antonio |
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When: |
Thursday, April 21, 2022 at 3:00:00 PM |
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Where: |
GTMI Building, Room 114 |
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Host: |
Professor Thomas R. Kurfess | |
Abstract Data science/analytics and novel optimization algorithms are essential to expand the frontiers of basic and applied research as well as to support critical decision making. To accelerate the rate of innovation and discovery of relevant application areas in clean energy and cybersecurity for manufacturing, an integrated theoretical and computational scheme that links experimental and field data, data-driven mathematical models and hybrid optimization algorithms has been developed and is being integrated into a science-as-a-service platform. The alpha version of a cloud-based decision support system aims to facilitate the acquisition and creation of experimental and field data as well as computational models. In addition, in this talk, we will introduce CyManII’s Cybersecure Energy & Emissions Quantification (CEEQ), which allows secure real-time/near-real-time data retrieval from a variety of smart sensors and Industrial IoT devices to feed energy analytics methods to build energy efficient automated manufacturing processes and supply chain networks. |
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Biography Dr. Krystel Castillo is currently the GreenStar Endowed Professor in the Department of Mechanical Engineering and Director of the Texas Sustainable Energy Research Institute (texasenergy.utsa.edu) at The University of Texas at San Antonio. Dr. Castillo serves as VP for Energy Efficiency for the Cybersecurity Manufacturing Innovation Institute (CyManII), a $130 M (including cost share) center funded by Department of Energy. Her research expertise is in Data Analytics and Operations Research; specifically, mathematical programming and optimization techniques for analyzing large-scale, complex systems under uncertainty. Her research is grounded in relevant applications such as modeling and optimization of clean and sustainable energy systems, cybersecure manufacturing, and supply chain network design. Dr. Castillo has received more than $10.6 million in grant funding from multiple agencies including USDA, DOE, NSF, EPA, Air Force, Office of Naval Research, among others. She is a member of INFORMS, IISE and ASEE. She received her Ph.D. from Texas Tech University and her Sc.D. from Monterrey Tech. |
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Notes |
Virtual streaming https://bluejeans.com/462951985/5014 |
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