Enhancing Video Streaming with Ai, Cloud, and Edge Technologies: Optimization Techniques and Frameworks
暫譯: 利用 AI、雲端與邊緣技術提升影片串流：優化技術與框架

Dr. Mahmoud Darwich is an Assistant Professor of Computer Science at the University of Mount Union, Ohio, USA. He received his Bachelor's degree from Beirut Arab University, Lebanon, in 2006. Subsequently, he completed his master's and doctorate degrees in Computer Engineering from the University of Louisiana at Lafayette in 2013 and 2017, respectively.. His research focuses on artificial intelligence, cloud computing, and edge technologies for optimizing video streaming systems.

Dr. Magdy Bayoumi is a Life Fellow of IEEE and the Department Head of Electrical and Computer Engineering at the University of Louisiana at Lafayette. He earned his Ph.D. in Electrical Engineering from the University of Windsor, Canada. Dr. Bayoumi's research spans VLSI design, digital signal processing, and wireless sensor networks. He is a recipient of several awards, including the IEEE Circuits and Systems Society Education Award.

馬哈茂德·達維奇博士是美國俄亥俄州蒙特聯大學的計算機科學助理教授。他於2006年在黎巴嫩貝魯特阿拉伯大學獲得學士學位。隨後，他於2013年和2017年分別在路易斯安那州立大學拉法葉校區完成計算機工程的碩士和博士學位。他的研究專注於人工智慧、雲計算和邊緣技術，以優化視頻串流系統。

馬基迪·巴尤米博士是IEEE的終身會士，也是路易斯安那州立大學拉法葉校區電氣與計算機工程系的系主任。他在加拿大溫莎大學獲得電氣工程博士學位。巴尤米博士的研究涵蓋VLSI設計、數位信號處理和無線感測網路。他獲得了多項獎項，包括IEEE電路與系統學會教育獎。