معرفی
Khaled Rasheed is a Professor at the School of Computing, University of Georgia, where he has served in various academic capacities since 2000. His current appointment as Professor in the Franklin College of Arts & Sciences - Division of Physical & Mathematical Sciences, School of Computing began in August 2017. Previously, he served as Associate Professor (2006-2017) and Assistant Professor (2000-2006) at the same institution. Dr. Rasheed also serves as Graduate Program Faculty in the School of Computing since 2003.
Dr. Rasheed earned his Doctor of Philosophy in Computer Science from Rutgers State University of New Jersey in 1998, following a Master of Science in Computer Science from the same institution in 1995. His undergraduate education includes a Bachelor of Science in Computer Science from Alexandria University, Egypt, completed in 1990.
Dr. Rasheed's research focuses on Artificial Intelligence, with particular expertise in Genetic Algorithms, Evolutionary Computation, Data Mining, and Machine Learning. His work bridges theoretical AI development with practical applications across diverse domains. His research spans Bioinformatics and Health Informatics, Computational Intelligence, Engineering Design Optimization, and specialized applications in Poultry Science and Agriculture. His interdisciplinary approach has led to significant contributions in applying AI techniques to solve real-world problems in agriculture, healthcare, and engineering. Recent work demonstrates his focus on deep learning applications for animal behavior monitoring, crop yield prediction, and protein structure analysis, showing both technical innovation and practical impact.
Dr. Rasheed's scholarly output shows a clear progression from foundational AI research toward domain-specific applications. His recent publications (2023-2025) reveal a strong emphasis on agricultural applications of AI, particularly in poultry science and crop management, while maintaining contributions to core AI methodology development. His work demonstrates consistent citation impact across multiple domains, with particular influence in agricultural technology applications of computer vision and deep learning.
- Student Career Success Influencer Award 2023
- Student Career Success Influencer Award 2022
- Outstanding Faculty Service Award
- Second Best Paper
Dr. Rasheed has secured multiple significant research grants, including a current project with COBB-VANTRESS INCORPORATED (2025-2027) for developing tracking systems for poultry, and a major USDA NIFA grant (2022-2028) for forest sustainability research. His funded projects demonstrate his ability to translate theoretical AI research into practical applications with economic and environmental impact. His grant portfolio spans multiple funding agencies including NIH, USDA, and industry partners, reflecting the interdisciplinary nature of his work.
Dr. Rasheed maintains an active research laboratory focused on evolutionary computation and machine learning applications. His work often involves interdisciplinary collaborations across computer science, agriculture, biology, and engineering. His recent publications and grants indicate a strong emphasis on applying AI to agricultural challenges, particularly in poultry science and crop management, while maintaining a foundation in core AI methodology development.
