May 27, 2019 12:50 PM–1:40 PM
Location
Room N100 ("old" S&E Building)

(Click here for flyer)

Rossana Villegas (Department of Electrical and Computer Engineering, The University of Texas at El Paso)

Warming trends and increasing temperatures have been observed and reported
by federal agencies, such as the National Oceanic and Atmospheric
Administration (NOAA). Extreme weather, especially hurricanes and winter
storms, are among the highly devastating natural disasters responsible for
massive and prolonged power outages in Electrical Transmission and
Distribution Systems (ETDS). Our approach is motivated by the integration of two
application domains: First, the critical operation of the ETDS systems under
natural disaster conditions.Second, Data integration based on Data Mining
techniques like Machine Learning, Deep Learning and Knowledge Discovery
methodologies. This study provides a brief review of both domains, as well as the
knowledge gap and future research directions that will benefit the resilience of
the ETDS systems under natural disaster conditions.

Bio:Rossana Villegas is a Ph.D. Candidate in Electrical and Computer Engineering from The
University of Texas at El Paso (UTEP), where she received recently the certification in electric
power and energy systems. She received her bachelor degree in electrical engineering and her
Master degree in the area of automation and control systems at the University of Juarez, Mexico
(UACJ). She has over 25 years of experience working with undergraduate and graduate students
at the UACJ, and about 4.5 years covering several positions as a Lecturer, teacher assistant and
research associate at UTEP. Her specialty is working with students with different backgrounds
and learning styles helping them in pursuing their careers objectives. She loves working with
classes based in a team projects to solve real-world problems, applying new technologies,
science, and fun. Her research interests include Mechatronics, Power Energy, Smart Grids,
Machine Learning, Data Mining.

Monday, May 27th, 1:00 p.m. N100
Lunch will be served at 12:30