Contact details:

   emilio.barocio@academicos.udg.mx

 Universidad de Guadalajara

 Phone: +52 (33) 1378 5900, Ext: 27739


Emilio Barocio Espejo

Full-time Professor at the Graduate Program in Electrical Engineering. Universidad de Guadalajara

Joint Appointments:

Research interest:

•Data analytic and machine learning applied to power systems.

•Power system monitoring using spatio-temporal and signal processing techniques.

•Multi-objective optimization on power system problems.

•Impact of renewable energy on the power system stability.

•Complex network theory applied to smart grids.

•Non-linear power system analysis using perturbation techniques.

Full Publications:

https://scholar.google.co.uk/citations?user=t9rtfYUAAAAJ&hl=en


I received my MS in 1999 and PhD in 2003, in Electric Power Engineering, from the Universidad de Guadalajara and CINVESTAV, respectively. During my Phd studies (2001), I was a visitor research at the University of Wisconsin-Madison, USA. In 2003, I received the Arturo Rosenblueth award for the best PhD thesis on Science and Technology of Mexico. From 2003 until 2006 I was with the University of Nuevo Leon as assistant professor.  In 2007, I joined to the University of Guadalajara, where I formed the Graduate Program in Electric Engineering.  During the spring of 2009 I was a Post-Doctoral Associate Research at the Imperial College of London, UK, working on synchrophasor data applications project. In 2013, I was distinguished with a prestigious Marie-Curie Incoming International Fellowship at the Imperial College of London. There, I was involved on academic-industry project, composed by the interdisciplinary experts, industry sector and very well recognized universities. More recently (summer 2018 and 2019), I was a research visitor at Zurich University of Applied Sciences (ZHAW) in Switzerland. There, I was involved in power system monitoring project in conjunction with ZHAW and Swiss grid operator. 

Since, 20 years ago, I have been a Member of the IEEE; mainly active in the Power & Energy Society, where I contribute to several working groups, task forces, and committees. I also served as PES chapter chair at Section Guadalajara in 2008. and in 2012, as a member of the Working Group on Identification of Electromechanical Modes in Power Systems, We were distinguished with the Working Group Recognition Award emitted by the IEEE PES Technical Committee. 

Since 2017, I am an IEEE Senior Member and Associate Editor Board Member of the International Journal of Electrical Engineering Education, IEEE LATAM, IEEE-PES Access and Frontiers in smart grids. In 2018, I was distinguished with the IEEE PES and PSDP Prize Paper Awards. More recently, the Electromechanics Engineering Society distinguished me with the Research Award 2020 of the State of Jalisco, MX.

Since 2020, I am Secretary of IEEE Task Force: Application of Big Data Analytic on Transmission System Dynamic Security Assessment. Also, I am a member of the National Research Mexican System, Level 2, and the founder of Big Blue Box Laboratory (3B-Lab) in Data Analytic applied to Power Systems.

Currently, my duties in the graduate programs include teaching, research, and collaboration with the industry. I have advised 25 masters and 5 Phd theses on electrical engineering and more recently 2 masters on data science. Today, I am advising 1 master and 2 Phd students. I have published 47 indexed journal papers, 2 books,  5 chapters’ books and 63 conference papers, mostly on the top annual conferences on power systems.

Last update 21/Feb/2024