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.

Publication
Please refer to my Google Scholar profile

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.