Abdel Ejnioui received the Bachelor of Engineering Technology, the Master of Science in Computer Sciences, and the Ph.D. degree in Computer Science and Engineering from the University of South Florida in 1992, 1995, and 1999 respectively. From 2001 to 2005, he was an Assistant Professor in the Electrical and Computer Engineering Dept. of the University of Central Florida. Since summer 2005, he has been serving as an Assistant Professor in the Department of Information Technology at the University of South Florida. Upon completion of his Ph.D. degree, he worked as a Principal Software Engineer at Avanti! Corporation before its acquisition by Synopsys Corporation. Previously, he held several positions in the information technology industry between Central and West Florida.

Broadly defined, my research interests evolve around Computer Architecture. While this research area is quite extensive, the focus of my research is to look for computer architectures that can provide the best possible performance for specific compute intensive applications. In this regard, my research spans the following fields:

Reconfigurable Computing: Reconfigurable computing is a research area whose goal is to support computer performance by reconfiguring architectural computing components to match the requirements of the computation. The reconfigurable components can be fine-grain resources such as FPGA fabrics or coarse-grain datapaths such as configurable processors. This approach offers the flexibility encountered in software implementations with the high performance provided by hardware implementations. Many applications in communications, multimedia, and scientific computations can benefit from the performance potential of reconfigurable computers.

Parallel Processing: This area studies how multi-processing environments consisting of a number of processors can be used to execute compute-intensive applications. These environments can be computing machines equipped with a number of processors (i.e., parallel processing machines) or computing nodes scattered through a network (i.e., distributed processors). To take advantage of parallel processing, software applications have to be partitioned into segments assigned to run on various processors at specific times. Although this area includes research in hardware architectures, system software, and high performance applications, my personal emphasis in this area is limited to hardware architectures.

IT education produces workers who will develop new forms of knowledge and technologies that eventually impact societies in deeper ways. Hence, it is imperative that the IT workforce be ready to apply new forms of IT knowledge to help society discover novel modes of work and play. To this end, post-secondary technical education must aim to teach IT students to discover knowledge on their own inside and outside of a classroom setting. Students who develop this capability of self-discovery are well prepared to meet the challenges of a professional life that mandates lifelong learning and training.