Khaled Sayed
About
Khaled Sayed has a diverse background in the fields of Electrical and Computer Engineering, Computational Biology, and Data Science. He earned his Ph.D. in Electrical and Computer Engineering from the University of Pittsburgh in 2019, where he conducted extensive research on automating the process of developing computational models for complicated systems. After completing his doctorate, Khaled joined the Department of Computational and Systems Biology at the University of Pittsburgh in 2020 as a Postdoctoral Associate and developed computational and machine learning models for the analysis of multi-omics and microbiome data. Khaled was appointed as an Assistant Professor in the Department of Electrical & Computer Engineering and Computer Science at the University of New Haven in September 2023. In this role, he actively engages with students in the data science program, teaching computer science courses, including Deep Learning and Natural Language Processing.
Research Performance Summary
First Recorded Paper
Blind deconvolution of EEG signals using the stochastic calculus
Year: 2012
Citations: 3
Venue: Biomedical Engineering Conference (CIBEC), 2012 Cairo International
Latest Recorded Paper
Customized CNN Architectures Outperform Pre-Trained Models in Differentiating Normal Brain Tissues, Glioma, Meningioma, and Pituitary Tumors
Year: 2026
Citations: 0
Venue: Journal of Imaging Informatics in Medicine
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.