Mohsen Tavakolian

Mohsen Tavakolian

Ph.D. Student

Start date: January 2024
Target graduation date: 2027

Research focus
Mid- and long-term energy load prediction using machine learning techniques.
Investigation of the impact of emerging sustainable energy parameters on long-term energy load.

Awards and recognitions
Recognized as the top student in Iran for the national MSc entrance examination.

Industry and other experience
– Project Lead at InnoTech Alberta
– Software QA Engineer at Computer Modeling Group
– Machine Learning Engineer at ENA Solution
– Senior Lab Analyst at Imperial Oil
– Project Manager at OIEC Group
– Reservoir Engineer/EOR Specialist at BP
– Reservoir Engineer/EOR Specialist at the Research Institute of Petroleum Industry

Previous studies
– MSc in Petroleum Engineering at the University of Calgary
– BSc in Chemical Engineering at Petroleum University of Technology
– Certificate in Full Stack Development at Bow Valley College

Other
With a background in petroleum and chemical engineering and recent expertise in machine learning techniques, I am passionate about investigating the impact of emerging sustainable energy markets, particularly CCUS (Carbon Capture, Utilization, and Storage) and hydrogen, on long-term energy load prediction.

I bring together extensive experience in the energy industry, experimental research, and data analytics to achieve my ultimate goal: developing techniques to better predict energy consumption.