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Dr. Salah Alghyaline
Department of Computer Science
The World Islamic Sciences and Education University
salah.alghyaline@wise.edu.jo
 
   
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Academic qualifications

  • 2012-2017  PhD in Computer Science/ Artificial Intelligence (AI), National Taiwan Ocean University(NTOU), Taiwan, with an excellent grade. (NTOU was Ranked:350-400, The Times Higher Education World University Rankings 2012). Dissertation title: “Action Classification Using Deep Learning, Data Mining and Symmetrical SURF Based Trajectories”.
  • 2005-2007 MSc in Computer Information Systems, Arab Academy for Banking and Financial Sciences, Jordan, with a very good grade. 
  • 2001-2005 BSc in Computer Science, Mu’tah University, Jordan, with a very good grade.

 

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Research Interests

  • Computer Vision
  • Human Behavior Analysis
  • Action Classification
  • Deep Learning
  • Human Detection and Tracking
  • Image Processing
  • Data Mining-Association Rule Mining

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Courses Taught

  • Operating Systems.
  • Introduction to Algorithms.
  • Data structure.
  • Introduction to Internet Programming (HTML, CSS, Java Script).
  • Developing Web Applications (JSP, ASP.NET)
  • Visual programming using Java.
  • Java Programming.
  • C++ Programming.
  • Computer Skills.
  • Advanced Computer Skills.
  • Calculus.




 
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Skills

  • OpenCV (Open Source Computer Vision Library).
  • Deep learning using the Caffe framework and YOLO.
  • Matlab
  • JAVA.
  • C++
  • V. B.
  • Oracle (SQL, PL / SQL, Developer)
  • HTML, CSS, Java Script, JSP, ASP.NET
  • ICDL Certificate




Publications List:

  • Salah Alghyaline, Nidhal Kamel Taha El-Omari, Raed M. Al-Khatib, Hesham Y. Al-Kharbshh," RT-VC: An Efficient Real-Time Vehicle Counting Approach”, Journal Of Theoretical And Applied Information Technology, 2019, Vol.97. No 7,pp.2062-2075.

  • Salah Alghyaline, “A Real-Time Street Actions Detection” International Journal of Advanced Computer Science and Applications(IJACSA), 10(2), 2019.
  • Salah Alghyaline and Tariq Alwada’n. "2D Array Structure for Pattern Mining." International Journal of Applied Engineering Research 13.7 (2018): 5565-5574.
  • Salah Alghyaline and Jun-Wei Hsieh. “Video Action Classification Using Symmelets and DeepLearning." IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, Canada, 2017, pp 414-419.
  • Salah Alghyaline, Jun-Wei Hsieh, Hui-Fen Chiang and Rui-Yu Lin. "Action classification using data mining and pairs of SURF-based trajectories." IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary, 2016, pp.2163-2168.
  • Salah Alghyaline, Jun-Wei Hsieh and Jim Z. C. Lai,“Efficiently mining frequent itemsets in transactional databases,” Journal of Marine Science and Technology ,2016, Vol.24, No.2, pp. 184-191.
  • Salah Alghyaline, Jim Z. C. Lai and Jun-Wei Hsieh,“An Effective FP -Growth Algorithm without Constructing the Conditional FP-Tree,” IPPR Conference on computer vision ,Graphics ,and image Processing (CVGIP’27), Chiayi ,Taiwan,2014.
  • Jun-Wei Hsieh, Chi-Hung Chuang, Salah Alghyaline, Hui-Fen Chiang and Chao-Hong Chiang ,“Abnormal Scene Change Detection From a Moving Camera Using Bags of Patches and Spider-Web Map ,” IEEE Sensors Journal, Vol.15, No.5, pp.2866-2881.
  • Jun-Wei Hsieh, Li-Chih Chen, Sin-Yu Chen, Duan-Yu Chen, Salah Alghyaline and Hui-Fen Chiang, “Vehicle Color Classification under Different Lighting Conditions Through Color Correction,” IEEE Sensors Journal, Vol.15, No.2, pp. 971-983.  
  • Mahmoud Baklizi and Salah Alghyaline, “Evaluation of E-Learning websites in Jordan universities based on ISO/IEC 9126 standard,” IEEE International Conference on Communication Software and Networks (ICCSN’03), Xi'an, China, 2011, pp.71-73.
  • Salah Alghyaline, Hussein Abdel-jaber ,“A Proposed E-learning Evaluation Model To Quality Assurance of E-learning in Developing Education”, The International Conference on e-Commerce, e-Administration, e-Society, e-Education, and e-Technology (e-CASE & e-Tech 2011), Tokyo, Japan,2011.
  • Mohammed Otair, Raid Al-Sardi and Salah Alghyaline,“An Arabic Retrieval System with Native Language rather than SQL Queries,” IEEE International Conference on the Applications of Digital Information and Web Technologies (ICADIWT’01) ,VSB- Technical University of Ostrava ,Czech Republic,2008, , pp.84-89.



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A Real-Time Street Actions Detection

Vehicle-Counting