Program

Keynote Speakers

World-class experts in power systems, data analytics, and machine learning — sharing vision and research at the forefront of smart grid synchronized measurements.

June 1–4, 2026 | Santiago de Chile | SGSMA 2026

Jaime Peralta earned his B.Sc. in Electrical Engineering from the University of Chile and completed his M.Sc. and Ph.D. degrees from the Ecole Polytechnique de Montreal in 2007 and 2013, respectively. He also completed an MBA program from ESADE Business School (Barcelona) in 2000.

From 2006 to 2008 he worked as Sr. Power Systems Engineer in the consulting group of CYME International T&D in St. Bruno, Quebec, Canada. Jaime worked for BC Hydro from 2008 to 2011 as Strategic Planning Leader within the T&D Asset Investment & Planning group. He also worked as Senior Manager of PTI Network Consulting at Siemens Canada and as Power Systems Design and Studies Manager at Alstom Grid in Philadelphia, USA.

Jaime is currently a member of the Board of Directors at the Chilean's Electric System Operator. His area of expertise is Power Systems operation, Energy markets, T&D planning and engineering, HVDC and FACTS systems design, and integration of renewable generation and energy storage. He is a senior member of IEEE.

Zoran Obradovic is a Distinguished Professor and Center Director at Temple University, an Academician at the Academia Europaea (the Academy of Europe), and a Foreign Academician at the Serbian Academy of Sciences and Arts. He has mentored 74 postdoctoral fellows and Ph.D. students, many of whom have established independent research careers at academic institutions (e.g., Northeastern University, Ohio State University) and industrial research labs (e.g., Amazon, eBay, Facebook, Hitachi Big Data, IBM T.J. Watson, Microsoft, Yahoo Labs, Uber, Verizon Big Data, Spotify).

Zoran serves as the editor-in-chief of the Big Data journal and is the steering committee chair for the SIAM Data Mining conference. He is also a member of the editorial boards for 13 journals and has held roles as general chair, program chair, or track chair for 11 international conferences. His research interests encompass data science and complex networks in decision support systems, addressing challenges related to big, heterogeneous, spatial, and temporal data analytics, motivated by applications in healthcare management, power systems, and earth and social sciences.

He has received funding from AFRL, DARPA, DOE, NIH, NSF, ONR, the PA Department of Health, US Army ERDC, US Army Research Labs, and various industry sources. He has published 470 articles and has been cited more than 35,000 times (H-index 70).

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Dr. Zhenyu (Henry) Huang is Argonne Distinguished Fellow and Director of the Energy Systems and Infrastructure Analysis Division at Argonne National Laboratory. He leads development and deployment of analytics and hardware platforms that support reliable and affordable energy transitions and a robust, secure U.S. grid.

He previously served as a distinguished Laboratory Fellow at Pacific Northwest National Laboratory and as a research professor at Washington State University. At PNNL he led key portfolios in power electronics and grid integration and served as Deputy Sector Manager for grid research.

Dr. Huang also served as Senior Policy Advisor for the U.S. Department of Energy's Under Secretary for Science and Innovation, leading major initiatives including the DOE Grid Modernization Initiative.

His research interests include high-performance computing, data analytics, optimization, and control for power and energy systems with diverse resources and interdependent critical infrastructures. He has over 220 peer-reviewed publications and is an IEEE Fellow.