Yasser Ismail

Southern University and Agricultural and Mechanical College

Dr. Yasser Ismail, a Professor at Southern University and A&M College, brings over 20 years of experience in teaching and research. Holding degrees in Electronics, Electrical Communication, and Computer Engineering, he specializes in machine learning, VLSI, FPGA systems, Cloud Computing, and Cybersecurity. Dr. Ismail\'s expertise extends to video processing algorithms and architectures, IoT, and wireless communication. He is renowned for pioneering advancements in digital technologies, particularly in the future landscape of television. With a commitment to innovation, Dr. Ismail continues to shape transformative technologies, redefining industry standards and pushing the boundaries of possibility in the digital age.

2books edited

2chapters authored

Latest work with IntechOpen by Yasser Ismail

This Edited Volume is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of digital industry technologies and the future landscape of television. The book comprises single chapters authored by various researchers and edited by an expert active in the pioneering advancements in digital technologies, particularly in the future landscape of television, machine learning, VLSI, FPGA systems, cloud computing, cybersecurity, video processing algorithms and architectures, IoT, and wireless communication research area. All chapters are complete in themselves but united under a common research study topic. This publication aims to provide a thorough overview of the latest research efforts by international authors on digital industry technologies and opens new potentials for further developments.

Go to the book

The Future of Television and Video Industry

Edited by Yasser Ismail

Books edited

Internet of Things (IoT) for Automated and Smart Applications

Edited by Yasser Ismail

Chapters authored

High-Efficient Video Transmission for HDTV Broadcasting

By Yasser Ali Ismail

Before broadcasting a video signal, redundant data should be removed from the transmitted video signal. This redundancy operation can be performed using many video coding standards such as H.264/Advanced Video Coding (AVC) and H.265/High-Efficient Video Coding (HEVC) standards. Although both standards produce a great video resolution, too much data are considered to be still redundant. The most exhaustive process in video encoding process is the Motion Estimation (ME) process. The more the resolution of the transmitted video signal, the more the video data to be fetched from the main memory. This will increase the required memory access time for performing the Motion Estimation process. In This chapter, a smart ME coprocessor architecture, which greatly reduces the memory access time, is presented. Data reuse algorithm is used to minimize the memory access time. The discussed coprocessor effectively reuses the data of the search area to minimize the overall memory access time (I/O memory bandwidth) while fully using all resources and hardware. This would speed up the video broadcasting process. For a search range of 32 × 32 and block size of 16 × 16, the architecture can perform Motion Estimation for 30 fps of HDTV video and easily outperforms many fast full-search architectures.

Part of the book: The Future of Television

Introductory Chapter: Internet of Things (IoT) Importance and Its Applications

By Yasser Ismail

Part of the book: Internet of Things (IoT) for Automated and Smart Applications

Yasser Ismail

Latest work with IntechOpen by Yasser Ismail

The Future of Television and Video Industry

Books edited

Internet of Things (IoT) for Automated and Smart Applications

Chapters authored

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Asif Gill

Farookh Hussain