Dr. Fatemeh Shakeri

Dr. Fatemeh Shakeri

Post Doctoral Fellow

Start date: May 2024
Target completion date: December 2025

Research focus
My research is centred on the application of data-driven methodologies, machine learning and artificial intelligence within the domains of engineering, specifically targeting advancements in energy storage and conversion systems.

Awards and recognitions

Previous studies
– B.Sc. in Chemical Engineering, Iran University of Science and Technology, Tehran, Iran
– M.Sc. in Chemical Engineering, Sharif University of Technology, Tehran, Iran
– Ph.D. in Chemical Engineering, University of Calgary, Alberta, Canada

Industry experience
– Engaged in research collaboration as a Ph.D. visiting student with the Electrochemical Innovation Lab at the University College London
– Participated in a research collaboration and internship with Zinc8 Energy Solutions Inc. and the Natural Sciences and Engineering Research Council of Canada (NSERC)
– Collaborated on research initiatives with Alberta Innovates

Other
My primary interest lies in the application of data science, machine learning, and artificial intelligence within the field of renewable electrical energy systems, particularly focusing on batteries. I am passionate about leveraging computational techniques to optimize energy storage and conversion solutions and enhance the efficiency and sustainability of renewable energy technologies. I am also committed to contributing to innovative solutions that address global health and energy challenges.