الصفحة الرئيسية

كلية الحاسبات وتقنية المعلومات \ هندسة الحاسب

محمد معوض محمد العنزي

السيرة الذاتية
نسبة اكتمال الملف الشخصي
الجنسية السعودية
التخصص العام هندسة الحاسب و المعلومات
التخصص الدقيق هندسة الحاسب
المسمى الوظيفي أستاذ مساعد
الدرجة العلمية (المرتبة) بكالوريوس

نبذه مختصرة

• Previous experience as a Senior Engineer supervisor at Saudi Telecom Company in optical fiber networks • Experienced Teacher Assistant with a demonstrated history of working in the higher education industry • Member of IEEE, Networking • Member of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) in the United Kingdom • Member of the USAs Association for the Advancement of Artificial Intelligence (AAAI) • Member of the Saudi Council of Engineers • Member of Project Management Institute PMI and certified by PMP certificate • Assistant professor in the Computer Engineering department at FCIT University of Tabuk • Certified Trainer in the field of information technology and computers

المؤهلات العلمية

Bachelor of Computer Engineering from Fahd Bin Sultan University Masters degree in Computer Engineering from Florida Tech University, USA PhD in Electronic and Electrical Engineering, specializing in Communications Network Systems, University of Leeds, United Kingdom

الاهتمامات البحثية

Communication Networks and Systems Security - Specialization in Distributed AI technology- Expertise in Optimizing Energy for Net Systems - Focused on Service Embedding Techniques in IoT

الخبرات والمناصب الإدارية

الجدول الدراسي
اليوم المادة الوقت
من إلى
الأحد CEN433 09:29 11:00
الأحد CEN430 12:00 13:59
الأحد CEN490 14:00 15:30
الإثنين Academic guidance 09:00 10:00
الإثنين Office hours 10:00 12:00
الإثنين CEN431 12:00 14:00
الإثنين Academic guidance 14:59 15:00
الثلاثاء CEN433 09:30 11:00
الثلاثاء CEN430 12:00 14:59
الثلاثاء CEN490 14:00 15:30
الأربعاء Academic guidance 09:00 10:00
الأربعاء Office hours 10:00 12:00
الأربعاء CEN431 12:00 14:00
الأربعاء Office hours 14:00 15:00
الأبحاث والمؤلفات
  • Energy efficient neural network embedding in IoT over passive optical networks
  • Energy-efficient AI over a virtualized cloud fog network
  • Energy-efficient distributed machine learning in cloud fog networks
  • Energy efficient placement of ML-based services in IoT networks
  • Intelligent System For The Sterilization Of Doors
  • System for communicating a vehicle position and speed during accident
  • IoT and Energy
  • Energy minimised placement of IoT based machine learning services over cloud-fog networks
  • Remote Cardiac System Monitoring Using 6G-IoT Communication and Deep Learning
جوائز التميز
المشاريع البحثية
معلومات التواصل
البريد الإلكتروني : M-alenazi@ut.edu.sa