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Ghiath Al Aqel
来源:湖北工业大学 发布时间:2020-04-06 点击量:

   Ghiath Al Aqel 

 

华中科技大学工业工程博士

Educational Qualifications

l Huazhong University of Science & Technology, Wuhan, CHINA

Ph.D. in Industrial Engineering

Research field: optimization algorithms                       2018

l Huazhong University of Science & Technology, Wuhan, CHINA

M.S. in Industrial Engineering

Research field: optimization algorithms                       2013

l Damascus University, Damascus, SYRIA

B.S. in Mechanical Design and Production Engineering         2008 

Professional Experience

l  10/2010 –  09/2011  Sales Manager   OMNITEK     (Liquid Transfer Equipments)

l  07/2008 – 10/2010   Planning Engineer  Elsewedy Electric – Syria (MV Transformers)

l  01/2005 – 06/2008   Industrial Designer  Casanelli Design (Hardware Design & Manufacturing)

Academic/Teaching Experience

l  09/2019 – present     Academic Teacher

Zaozhuang University, Zaozhuang City, Shandong, P.R. China.

l  09/2018 – 07/2019   Lecturer

Alabjadiya International Institute, Damascus, Syria

Publications

l  Al Aqel, Ghiath, Muhammad F. Ausaf, Xinyu Li, and Liang Gao. "A New Priority-Sort Based Optimization Algorithm for Integrated Process Planning and Scheduling.” International Journal of Modeling and Optimization 3, no. 2 (2013): 226.

l  Ausaf, Muhammad Farhan, Liang Gao, Xinyu Li, and Ghiath Al Aqel. "A priority-based heuristic  algorithm  (PBHA)  for  optimizing  integrated  process  planning  and  scheduling problem.”  Cogent Engineering 2, no. 1 (2015): 1070494.

l  Al Aqel, G., X. Li, L. Gao, W. Gong, R. Wang, T. Ren, and G. Wu. "Using Iterated Greedy with a New Population Approach for the Flexible Jobshop Scheduling Problem." In 2018 IEEE   International   Conference   on   Industrial   Engineering   and   Engineering   Management (IEEM), pp. 1235-1239. IEEE, 2018. 

l  Al Aqel, Ghiath, Xinyu Li, and Liang Gao. "A Modified Iterated Greedy Algorithm for Flexible Job Shop Scheduling Problem." Chinese Journal of Mechanical Engineering 32, no. 1 (2019): 21.

Research Interests

Optimization algorithms, planning and scheduling optimization problems (FSSP, JSP, FJSP, IPPS…), intelligent algorithms and theirapplications, machine learning, and Big Data.