The Team
PhD Candidate in Intelligent Systems and Software Engineering
Daniel is the principal architect of the AI system used in ALEX. He is a Ph.D candidate in the Software Engineering and Intelligent Systems program at the University of Alberta. His research focuses on the use of decentralized AI for the management of DERs. He holds a MSc and BSc in Electrical and Computer Engineering from the Technical University of Munich, specializing in power systems engineering and complex control systems. Leveraging his prior work in R&D at BMW, Daniel’s roles and responsibilities are the oversight and direction of the company’s operations and strategy, and being the lead architect of the AI used in all TREX products.
PhD in Intelligent Systems and Software Engineering
Dr. Zhang is the chief software and hardware architect. He holds a Ph.D. in Software Engineering and Intelligent Systems and a BSc in Electrical Engineering from the University of Alberta. His thesis titled Reinforcement Learning-Driven Local Transactive Energy Market for Distributed Energy Resources outlines the digital twin simulator that ALEX runs on. Steven’s roles and responsibilities are overseeing and developing the software and hardware used in TREX products.
MSc in Intelligent Systems and Software Engineering
Peter is the architect of subcomponents of the AI used in ALEX that enable the coordination of multiple agents and help direct them to achieve a unified task. He holds a MSc in Software Engineering and Intelligent Systems and a BSc in Electrical Engineering from the University of Alberta. Peter’s roles and responsibilities are managing the company’s finances and assisting Daniel in designing ALEX’s AI agents.
Our Mentors
Allan Waine
Edmonton Unlimited
Experienced Facilitator, Expert in Startup Stages Facilitation, Professional Coach, Mentor, Student/Career Development, Volunteer Engagement, Not-for-profit Administration & Leadership
Matt Taylor
Associate Professor
Faculty of Computing Science
Director of the Intelligent Robot Learning Lab
Fellow-in-Residence at Amii
Established expert in applying machine learning and reinforcement learning to real-world problems