Summary
Reza Arghandeh is a Co-Founder and CTO with 11 years of experience bridging academic research and industry to build resilient, sustainable infrastructure using AI and data science. As a professor and head of the Data Science & AI Group at Western Norway University of Applied Sciences, he leads applied research that translates complex models into operational solutions for smart grids, disaster forecasting, and critical infrastructure. He also advises industry as an AI Solutions Strategist at StormGeo and holds academic positions at Florida State University, reflecting a rare dual-track career across European and U.S. institutions. Trained as a power-systems engineer (PhD, Virginia Tech) with a postdoc at UC Berkeley, he combines deep domain knowledge in electrical systems with practical software and systems experience dating back to power-systems engineering roles. Notably, his work often focuses on turning multi-agent and ML research into deployable tools that improve real-time grid resilience and environmental risk forecasting.
10 years of coding experience
8 years of employment as a software developer
Postdoc, Electrical Engineering and Computer Science, Postdoc, Electrical Engineering and Computer Science at University of California, Berkeley
Master of Science (MS), Mechanical Engineering, Master of Science (MS), Mechanical Engineering at The University of Manchester
Virginia Tech
BSc, Electrical Engineering, BSc, Electrical Engineering at K. N. Toosi University of Technology
English, Norwegian, Persian, Arabic