الصفحة الرئيسية

كلية الهندسة \ الهندسة الصناعية

حسن محمد عيسى هجري

السيرة الذاتية
نسبة اكتمال الملف الشخصي
الجنسية السعودية
التخصص العام هندسة صناعية
التخصص الدقيق هندسة نظم
المسمى الوظيفي أستاذ مساعد
الدرجة العلمية (المرتبة) دكتوراه

نبذه مختصرة

HASSAN HIJRY is an Assistant Professor of Industrial Engineering at the University of Tabuk in Saudi Arabia With an MS in Industrial Engineering from Lawrence Technological University (LTU), and a PhD in Systems Engineering from Oakland University, USA He brings industry experience as a former front-line manager at PEPSICO, Al-Riyadh His teaching expertise spans Work Study, Production Planning, and Control, Facilities Planning, Materials Handling, and Industry 40 Technologies and Engineering Management Hassans research focus encompasses Industry 40, AI, process optimization, systems analysis, and data-driven decision within diverse sectors like workplaces, manufacturing industries, and healthcare systems

المؤهلات العلمية

دكتوراه في هندسة الأنظمة الصناعية PhD in Industrial Systems Engineering ماجستير في الهندسة الصناعية بكالوريوس هندسه صناعية

الاهتمامات البحثية

The primary research interests include Industry 40, AI, and ML The research area, such as manufacturing industries and healthcare

الخبرات والمناصب الإدارية

الجدول الدراسي
الأبحاث والمؤلفات
  • Hijry, H, & Olawoyin, R, "Simulation Model for Patient workflow at Selected Emergency Room during Hajj," 2022 International Journal of Simulation: Systems, Science & Technology (IJSSST) V22, N4, https://edasinfo/doi/105013/IJSSSTa220408, Jan 22202
  • H Hijry, R Olawoyin, G McDonald, D Debnath, W Edward, Y Al-Hejri,"Predicting Average Wait-Time of COVID-19 Test Results and Efficacy Using Machine Learning Algorithms,"- 2021 International Journal of Industrial Engineering and Operations Management (IJIEOM ), 2021, pp 75-88, doiorg/1046254/jieom20210202
  • H Hijry and R Olawoyin,"Predicting Patient Waiting Time in Queuing System Using Multi Deep Learning Optimization Algorithms in the Emergency Room, " International Journal of Industrial Engineering and Operations Management (IJIEOM), 2021, pp 33-45, doiorg/1046254/jieom20210103
  • H Hijry and R Olawoyin," Application of Machine Learning Algorithms for Patient Length of Stay Prediction in Emergency Department During Hajj," 2020 IEEE International Conference on Prognostics and Health Management (ICPHM), 2020, pp 1-8, doi: 101109/ICPHM4902220209187055
جوائز التميز
المشاريع البحثية
معلومات التواصل
البريد الإلكتروني : hhegri@ut.edu.sa