Karim Elgammal
About Karim Elgammal
Karim Elgammal is a Battery Material Simulation Engineer at Northvolt, with extensive experience in battery material research and simulation. He holds a PhD in Computational Physics from KTH Royal Institute of Technology and has worked in various academic and research roles over a span of more than a decade.
Work at Northvolt
Karim Elgammal currently serves as a Battery Material Simulation Engineer at Northvolt, a leading company in sustainable battery manufacturing. He has been with Northvolt since 2021, focusing on the simulation and analysis of battery materials. His role involves utilizing advanced computational techniques to predict the properties of materials used in battery technology, contributing to the development of efficient and sustainable energy solutions.
Education and Expertise
Karim Elgammal holds a Doctor of Philosophy (PhD) in Computational Physics from KTH Royal Institute of Technology, where he studied from 2012 to 2018. He also earned a Master of Science (M.Sc.) in Computational Nanotechnology from Nile University between 2010 and 2012. Additionally, he completed a Licentiate of Engineering in Materials and Nano Physics at KTH from 2012 to 2015. His educational background is complemented by a Bachelor's degree in Systems Engineering from Cairo University, achieved from 2003 to 2008.
Background
Karim Elgammal has a diverse background in academia and research. He worked at KTH Royal Institute of Technology in various roles, including Teaching Assistant, Co-supervisor, Graduate Researcher, and Research Scientist from 2012 to 2021. His early career included positions at Nile University as a Research Assistant and Software Engineer from 2009 to 2012. This extensive experience in both teaching and research has equipped him with a strong foundation in battery materials and computational methods.
Achievements
Throughout his career, Karim Elgammal has coauthored several research articles and patents related to battery material simulations. He specializes in using ab-initio Density Functional Theory (DFT) methods to predict the properties of battery materials. His work combines simulated and experimental data, enhancing decision-making processes in battery material projects. This integration of theory and practice has contributed to advancements in the field of battery technology.