Jubair Yusuf, Ph.D.
About Jubair Yusuf, Ph.D.
Jubair Yusuf, Ph.D., is a Senior R&D S&E Electrical Engineer at Sandia National Laboratories with extensive experience in electrical engineering, smart grid technologies, and machine learning applications in power systems.
Company
Jubair Yusuf, Ph.D., is currently working at Sandia National Laboratories as a Senior R&D S&E Electrical Engineer. Having joined the team in 2022, he is based in Albuquerque, New Mexico, United States. He is involved in advanced research and development in electrical engineering within the laboratory.
Title
Jubair Yusuf holds the title of Senior R&D S&E Electrical Engineer. His work involves conducting research and development, primarily focused on electrical systems and engineering projects.
Education and Expertise
Jubair Yusuf earned his Doctor of Philosophy (Ph.D.) in Electrical Engineering from the University of California, Riverside, spending five years on this pursuit from 2017 to 2022. He also holds a Master of Science (MS) in Electrical Engineering from the same institution. His undergraduate studies were completed at Bangladesh University of Engineering and Technology, where he obtained a B.Sc in Electrical and Electronic Engineering (EEE) with a focus on Power. His academic foundation also includes an HSC from Notre Dame College and an S.S.C from Ideal School and College.
Background
Jubair Yusuf has a rich professional background in electrical engineering. Before his current position, he worked as an Electrical Power Systems Research Intern at Sandia National Laboratories in 2021. He also had a stint as an Electric Vehicle Grid Integration Intern at the National Renewable Energy Laboratory in 2020. Earlier, he served as a Carbon Neutrality Initiative Fellow at the University of California Office of the President from 2019 to 2020 and worked as an Electrical Engineer at edotco Group in 2017.
Skills and Technical Proficiency
Jubair Yusuf possesses a unique set of skills and technical proficiencies. He is adept at applying machine learning to electric vehicle deployment and power system challenges. His toolset includes software like OpenDSS, energy plus, eQUEST, and PSCAD for energy management and optimization. Additionally, he has a robust background in smart grid and microgrid technologies and experience in the water-energy nexus. He is proficient in programming languages and tools such as Python, Matlab, and LabVIEW, essential for electrical engineering applications.