Department of Software Engineering

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About Department of Software Engineering

Facts about Department of Software Engineering

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

29

Publications

12

Academic Staff

99

Students

101

Graduates

Programs

بكالوريوس في تقنية المعلومات
Major هندسة البرمجيات

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Details

Who works at the Department of Software Engineering

Department of Software Engineering has more than 12 academic staff members

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Dr. Rudwan Ali Belgasim Husain

د. رضوان حسين أستاذاً مشاركاً وكيل الشؤون العلمية لكلية تقنية المعلومات بجامعة طرابلس. د. رضوان له العديد من المنشورات العلمية في مجال تخصصه ومجالات أخرى. كان الدكتور رئيساً لقسم هندسة البرمجيات لمدة أربع أعوام جامعية من خريف 2013 إلى نهاية ربيع 2017, وكان أيضاً رئيس فريق تطوير منهج القسم ضمن لجنة تطوير مناهج كلية تقنية المعلومات. هو عضو مؤسس في الجمعية الليبية للاستشعار عن بعد ونظم المعلومات الجغرافية, وهو عضو بجمعية أمل الغد لأطفال التوحد, و عضو مؤسس في جمعية السلامة لأعمال مخلفات الحروب. يهتم د. رضوان بنمذجة الأنظمة المركبة (المعقدة) والذكاء الاصطناعي, معالجة الصور والوسائط المتعددة, وتطوير نظم المعلومات الجغرافية.

Publications

Some of publications in Department of Software Engineering

Survey on Academic Staff Awareness of Open Educational Resources

Open Educational Resources become an important asset for many educational institutions. In this paper we report the analysis of our survey data on using open educational resources at the University of Tripoli (UoT) among the academic staff members. The survey data was collected electronically to assess the awareness and usage of open educational resources within the University of Tripoli. Results of our survey reveal that 90% of academic staff members surveyed are using open educational resources, but they are not contributing much to OER due to lack of support from university. arabic 8 English 56
Abdusalam F. Ahmad Nwesri(5-2019)
Publisher's website

New 3D Holoscopic Images Content Format

3D Holoscopic imaging (also referred to as Integral Imaging) is a technique for creating full colour 3D optical models that exist in space independently of the viewer. In this paper, the main objective is to provide new file formats as raw material for full parallax computer generated 3D Holoscopic content, based mainly on Adapted Multiprocessor Ray Tracing System, displayed on auto-stereoscopic. The most important is being 3D model file format as there are many 3D modelling application available in the market and support different file formats. Therefore a file formats (scene description file) are developed for an Adapted Multiprocessor Ray Tracing System "Tachyon" (AMRTST) and for Ac3D computer graphics software package as well; the new file formats are created by uses 3D unidirectional camera parameters. Experimental results show validation of the new algorithm (AMRTST) and for the first time a 3D content of file formats are developed, and tests on an adapted Multiprocessor ray tracing system and on Ac3D package some scenes are tested such as teapot, car, roses and human-body.
Dr. Mahmoud Geat Eljadid, Prof. Amar Aggoun, Dr. Osama Hassan Youssef(3-2018)
Publisher's website

Applying Multiple Deep Learning Models for Antipersonal Landmines Recognition

Antipersonnel landmines represent a very serious hazard endangering the lives of many people living in armed conflict counties. The huge number of human lives lost due to this phenomenon has been a strong motivation for this research. Deep Learning (DL) is considered a very useful tool in object detection, image classification, face recognition and other computer vision activities. This paper focuses on DL for the problem of landmines recognition in order to identify its type based on shape features. This research work consists of several stages: gathering a new dataset of Anti-Personnel Mines (APMs) images for training and testing purposes, employing several augmentation strategies to boost the diversity of training data, applying four different Convolutional Neural Network (CNN) models namely VGG, ResNet, MiniGoogleNet and MobileNet, and evaluating their performances on APMs recognition. In conclusion, results indicate that MiniGoogleNet exceed all of other three models in recognizing APMs with the highest accuracy rate of 97%.
Hassan Ali Hassan Ebrahem, Abdelhamid Elwaer, Marwa Solla, Fatima Ben Lashihar, Hala Shaari, Rudwan A. Husain(7-2021)
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