معرفی
Khaled Sayed is an Assistant Professor in the Department of Electrical & Computer Engineering and Computer Science at the University of New Haven's Tagliatela College of Engineering. He holds a Ph.D. in Electrical and Computer Engineering from the University of Pittsburgh (2019) and a postdoctoral background in computational biology at the University of Pittsburgh's Department of Computational and Systems Biology. His research focuses on computational modeling of complex biological systems, machine learning for multi-omics data analysis, and neural engineering applications. He teaches courses in Deep Learning and Natural Language Processing within the university's data science program.
Education:
- B.S. in Biomedical Engineering, Cairo University, Egypt
- M.Sc. in Biomedical Engineering, Cairo University, Egypt
- Ph.D. in Electrical and Computer Engineering, University of Pittsburgh, USA
Research Interests: Dr. Sayed's work bridges electrical engineering, computational biology, and data science. Key areas include automated systems biology modeling, analysis of microbiome and multi-omics datasets, arrhythmia classification via signal processing, and development of computational tools for biomedical research. His methodologies integrate machine learning, systems biology, and hardware-accelerated simulation frameworks.
Teaching & Engagement: He actively engages undergraduate and graduate students in data science education, emphasizing hands-on learning in deep learning and NLP. His courses prepare students for interdisciplinary challenges at the intersection of computing and life sciences.
Labs & Collaborations: While specific lab affiliations are not detailed, his research involves collaborations in computational systems biology, microbiome analysis, and translational biomedical engineering projects.
