Past Speakers
Please visit https://capture.udel.edu/channel/Data+Science+Community+Hour for recordings of previous events (must be logged in).
Interview with Dr. Catia S. Silva and “Data Science opportunities in the evolution of the Electric Grid”
Dr. Catia S. Silva, Instructional Assistant Professor, University of Florida and
Sergio Sepulveda, Institute of Energy Conversion | ECE, UD
Time: May 6, 2021 @ 4:30 PM to 5:30 PM
Location: Zoom
Interview with Dr. Catia S. Silva, Instructional Assistant Professor, University of Florida
Dr. Silva is the instructor for undergraduate courses “Data Science for ECE”, “Introduction to Machine Learning”, and the undergraduate and graduate course “Fundamentals of Machine Learning”. She is also a GitHub Campus Advisor.
Catia S. Silva is an Instructional Assistant Professor in the Department of Electrical and Computer Engineering at the University of Florida. She received the B.S. in mathematics and the M.Sc. in biomedical engineering from the University of Porto, and the Ph.D. in electrical and computer engineering from the University of Florida. Catia is also a member of the FICS institute at the University of Florida. Prior to her academic appointment, Catia worked as a research scientist at AventuSoft LLC where she developed and validated machine learning algorithms for cardiovascular assessment. Her research interests include machine learning, signal processing, natural language processing, data science, cybsersecurity and computational neuroscience.
“Data Science opportunities in the evolution of the Electric Grid” ⏤ Sergio Sepulveda, Institute of Energy Conversion | ECE, UD
Our current electric grid was designed for large and centralized power generation that carries power over long distances to the final users. With the rapid growth of Distributed Energy Resources, such as Solar PV, wind Power, and Battery Storage, there are new challenges and opportunities to balance generation and demand. I will introduce the concept of microgrids and show some current and future applications where data science will enable services that will help to make the electric grid more reliable, resilient and fault-tolerant.
Sergio Sepúlveda is a fourth year Ph.D. student in the Department of Electrical and Computer Engineering at the University of Delaware. He is working on simulation, modeling, and analysis of Microgrids based on renewable energy under the guidance of his advisor Dr. Steven Hegedus. Sergio is also an Assistant Professor in the Department of Electricity and Electronics at Francisco de Paula Santander University, in Cúcuta, Colombia. Outside academia, Sergio enjoys playing sports (basketball, volleyball, and racquetball), learning and cooking new recipes, and gardening.