Shams Al Ajrawi

Dr. Shams Al Ajrawi is an Assistant Professor in the Department of Data Analytics at the California School of Management and Leadership, Alliant International University, San Diego. She holds a Ph.D. in Electrical and Computer Engineering from the joint doctoral program of the University of San Diego and San Diego State University (JDP), completed in 2021.

Her academic journey includes an M.S. from the New York Institute of Technology (2009) and a B.S. from the University of Technology (2005). She has held teaching positions at numerous institutions, including Coleman University (lead and core faculty), San Diego State University, University of California San Diego, University of San Diego, University of North Texas, Carnegie Mellon University, and community colleges such as MiraCosta, Grossmont, and Miramar College.

Dr. Al Ajrawi's research focuses on Brain-Computer Interface (BCI) applications, integrating key technologies such as Artificial Intelligence, Machine Learning, Advanced Signal Processing, Wireless Communication, and Cybersecurity. Her work bridges engineering and data science, aiming to advance human-computer interaction systems.

She has contributed significantly to academic scholarship as an editor and reviewer for various IEEE Transactions journals, reflecting her standing in the engineering research community.

• Full Fellowship (SDSU/UCSD/NSF) in Electrical and Computer Engineering (2016–2021)

Dr. Al Ajrawi has advised and taught students across multiple universities over 15 years, contributing to graduate and undergraduate programs in engineering, technology, and data analytics. While specific grants are not listed, her fellowship support indicates prior funding success. She is actively involved in curriculum development and interdisciplinary research mentorship.

Though no formal lab or research team is mentioned in the text, her affiliations with research-intensive institutions and editorial roles suggest engagement in collaborative research environments focused on BCI and intelligent systems.