Resilient And Clean Energy Systems Online Seminar

#energy #artificial-intelligence #energy-management
Share

This is an IEEE and RCES online seminar.


This presentation examines the transition of applied research in artificial intelligence, power systems, and building energy management toward early-stage deployment through the formation of Semitechnic Corp., A startup emerging from research conducted in collaboration with the University of Alberta. The talk outlines how academic methods, including data-driven optimization, edge AI, and intelligent control, are being adapted for practical use in building-scale and distributed energy systems.
Rather than emphasizing completed commercialization outcomes, the presentation focuses on the process of moving from research prototypes to deployable systems. Topics include system architecture design, integration with existing electrical and building automation infrastructure, validation using operational data, and challenges encountered in progressing toward pilot and field deployment. The session concludes with reflections on aligning academic research with real-world constraints related to resilience, electrification, and distributed energy resource integration.



  Date and Time

  Location

  Hosts

  Registration



  • Add_To_Calendar_icon Add Event to Calendar

Loading virtual attendance info...

  • Contact Event Hosts
  • Co-sponsored by Resilience and Clean Energy Systems (RCES)
  • Starts 22 December 2025 07:00 PM UTC
  • Ends 23 January 2026 07:00 AM UTC
  • No Admission Charge


  Speakers

Reza Enaloui of Semitechnic Corp. and University of Alberta.

Biography:

Reza Enaloui, P.Eng. is the Founder and CEO of Semitechnic Corp. and a researcher affiliated with the University of Alberta. He holds a Master’s degree in Electrical Engineering from the University of Alberta, with a specialization in energy systems, and is currently completing his doctoral studies in the same field. He has over a decade of industrial experience spanning energy systems, automation, and intelligent control.
His work focuses on the application of artificial intelligence and data-driven methods to the optimization and control of building-scale and distributed energy systems, with an emphasis on resilience, electrification, and deployable system design. In parallel with leading early-stage commercialization activities at Semitechnic, he continues to collaborate with academic and industry partners to advance RCES-aligned research and technology development.

Email: