Faculty of Information Technology

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About Faculty of Information Technology

Faculty of Information Technology

The Faculty of Information Technology is one of the most recent faculties at the University of Tripoli, as it was established in pursuant to the former General People's Committee for Higher Education Decision No. 535 of 2007 regarding the creation of Information Technology Faculties in the main universities in Libya.

 

Upon its establishment, the Faculty consisted of three departments: Computer Networks Department, Computer Science Department and Software Engineering Department. It now includes five departments: Mobile Computing Department, Computer Network Department, Internet Technologies Department, Information Systems Department and Software Engineering Department.

 

The Faculty’s study system follows the open semester system by two (Fall and Spring) terms per year. The Faculty began to actually accept students and teach with the beginning of the Fall semester 2008. It grants a specialized (university) degree in information technology in any of the aforementioned disciplines. Obtaining the degree requires the successful completion of at least 135 credit hours. Arabic is the language of study in the college, and English may be also used alongside it. It takes eight semesters to graduate from the Faculty if Information Technology.

 

The Faculty aspires to open postgraduate programs in the departments of computer networks and software engineering in the near future.

Facts about Faculty of Information Technology

We are proud of what we offer to the world and the community

69

Publications

38

Academic Staff

1710

Students

159

Graduates

Faculty of Information Technology News

2021-05-04 516 0
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بكالوريوس في تقنية المعلومات
Major هندسة البرمجيات

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Who works at the Faculty of Information Technology

Faculty of Information Technology has more than 38 academic staff members

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Dr. Abdusalam Alfitory Ahmad Nwesri

عبدالسلام النويصري هو احد اعضاء هيئة التدريس بقسم هندسة البرمجيات بكلية تقنية المعلومات وهو يعمل السيد عبدالسلام النويصري بجامعة طرابلس كـاستاذ مساعد منذ 2014-12-16 وله العديد من المنشورات العلمية في مجال تخصصه

Publications

Some of publications in Faculty of Information Technology

An MPLS-Based Fat Tree Network-on-Chip Systems

This paper describes a Fat tree based Network-on- Chip system using MPLS networking technique. A discrete-event simulator has been developed in C++ in in order to demonstrate the applicability of the MPLS to Network-on-Chip systems. The correctness and the efficiency of the MPLS based Fat networkon- chip system is measured against well-known wormhole with virtual channels technique. The results of the MPLS-based NoC in terms of throughput and latency are clearly proves the applicability of the MPLS to implement future NoC designs arabic 8 English 38
Azeddien M. Sllame, Nagwa Abobaker Salama(11-2016)
Publisher's website

Performance Comparison of VoIP over MPLS-Based Networks with RSVP Protocol Using SIP, H.323 Signaling Protocols

This paper describes the usage of OPNET simulation tool to evaluate VoIP over MPLS networks which employs RSVP protocol as QoS mechanism with SIP or H.323 as signaling protocols for setting up VoIP calls over the Internet. The results showed that the H.323 with RSVP over MPLS networks produced minimal end-to-end delay than SIP protocol; making it a good choice as a signaling protocol with VoIP over MPLS networks for places requiring minimal end-to-end delay, while SIP reported lowest delay jitter with minimal call setup time
Azeddien M. Sllame, Asra Hema, Huda Alnajem(3-2018)
Publisher's website

Diagnosis and Surveillance of Covid-19 Pandemic Based on 3D Integral Images Technique

3D integral imaging is a true 3D imaging technology. It offers the simplest form that is capable of recording and replaying the true light field 3D scene in the form of a planar intensity distribution, by employing microlens array. There is a new world health crisis threatening the humanity with the spread of Covid-19 (Coronavirus Disease-2019). The Covid-19 belongs to a family of viruses that may cause various symptoms such as pneumonia, fever, breathing difficulty, and lung infection. Real images of Covid-19 patients confirmed by computed tomography CT were used to segment areas of increased attenuation in the lungs, all compatible with ground glass opacities and consolidations. This paper describes a new method to generate an indicative Covid-19 3D integral image models. The method is based on a Multiprocessor Ray Tracing System including Philips viewer, 3D slicer software and unidirectional camera. Experimental results are extremely satisfactory and for the first time it is proved that 3D integral images Covid-19 models are generated through Multiprocessor ray tracing system in order to deep monitoring and visualization to could be aid diagnosis in the absence of RT-PCR kits as demonstrated. A new file format content is created as well.
Dr. Mahmoud Geat Eljadid(3-2022)
Publisher's website