Dr. AliGanoun

Department of Electrical and Electronic Engineering faculty of Engineering

Full name

Dr. Ali Ahmed Ali Ganoun


Doctor of Phiosophy

Academic Rank



Dr Ali Ganoun received the BSc degree in Electrical Engineering from University of Benghazi, Libya in 1988, the MSc. degree in Telecommunication from University of Tripoli, Libya in 1996. He received the PhD degree in Signal and Image processing from University of Orleans, France in 2007. He is currently the Director General of University of Tripoli Research, Consultant and Training Center, University of Tripoli. He is also an Associate Professor in the Department of Electrical and Electronic Engineering at the Faculty of Engineering, University of Tripoli, Libya. Prior to joining University of Tripoli, he was a Lecturer at Department of Electrical and Electronic Engineering faculty of Engineering, University of Benghazi, Libya. He worked as a researcher at the Research Laboratory for Advanced Driving Assistance Systems (LIVIC/LCPC- INRETS), France. His research interests include areas of Telecommunications systems and Signal and Image Processing.

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الكل منذ 2017


Doctor of Phiosophy

Signal and Image Processing
Orleans University - France
7 ,2007

Master degree

Telecommunication Engineer
University of Tripoli
1 ,1996

Bachelor Degree

Electronic Engineer
University of Benghazi
8 ,1988


Different Approaches to Classify Network Routing Protocols

In this paper a brief introduction to the concept of quality of service has been given. However, it mainly focuses on the classification of routing algorithms based on a number of different criteria like: protocols, structure, technologies in use, etc. And it concludes with a presentation of a common problem facing routing protocols, namely routing loops, and explained the known solutions to that problem. arabic 6 English 52
Ibrahim Almerhag, Ali Ganoun(6-2018)

Performance Analysis of Spoken Arabic Digits Recognition Techniques

A performance evaluation of sound recognition techniques in recognizing some spoken Arabic words, namely digits from zero to nine, is proposed. One of the main characteristics of all Arabic digits is polysyllabic words except for zero. The performance analysis is based on different features of phonetic isolated Arabic digits. The main aim of this paper is to compare, analyze, and discuss the outcomes of spoken Arabic digits recognition systems based on three recognition features: the Yule-Walker spectrum features, the Walsh spectrum features, and the Mel frequency Cepstral coefficients (MFCC) features. The MFCC based recognition system achieves the best average correct recognition. On the other hand, the Yule-Walker based recognition system achieves the worst average correct recognition. arabic 7 English 60
A. Ganoun, I. Almerhag(6-2012)
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