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Ziad Doughan

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Ziad Doughan


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Electrical and Computer Engineering


Google Scholar Citations: 13


H-Index: 2


z.doughan@bau.edu.lb


07 985080 Ex: 3410


Debbieh


Ziad Doughan

Assistant Professor


Dr. Ziad Doughan was born in Beirut, Lebanon. In 2022 he received a PhD degree in Electrical and Computer Engineering from Beirut Arab University.

He is currently an Assistant Professor in CE program. His research interests in: 

  • Artificial Intelligence, Machine learning and Deep learning
  • Discrete and Logic-based Artificial Intelligence
  • Biomimetic systems, Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI)
  • Graphics, Games and Robotics

Research Interests

Research Interests:

  • Artificial Intelligence, Machine learning and Deep learning 
  • Discrete and Logic-based Artificial Intelligence
  • Biomimetic systems, Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI)
  • Graphics, Games and Robotics
     

Education

Education: Degrees, Discipline, Institution and Date

  • Ph.D., Electrical and Computer Engineering, BAU, 2022 
  • M.Sc., Electrical and Computer Engineering, BAU, 2016
  • B.Sc., Electrical and Computer Engineering, BAU, 2006

Courses

Computer Engineering Program:

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Computer Graphics
  • Algorithms and Data Structures
  • Discrete Structures and Database
  • Programming (I & II)
  • Object Oriented Programming
  • Compiler
  • Microprocessor & Microcontroller
  • Neural Networks
  • Advanced Database Systems
  • Advance Computer Control and Robotics
  • Data Mining

Soft skills

  • Skills: Project Management, Leadership, Interpersonal Communication, Artificial Intelligence, Data Analysis
  • Concepts: OOP, UML, PMP, Agile, SCRUM
  • Programming: VS.Net, JAVA, C++, HTML, Python
  • Databases: SQL Server, MS Access, Java DB
  • Systems: Windows, DOS, Cisco
  • Software: MS Office, MS Visio, MS Project, Primavera, SAP

Certificates

  • Huawei HCIA-AI Artificial Intelligence V3.5, Huawei, 2023
  • Deep Learning: a Hands-on Introduction, MaLGa, Università di Genova, 2022
  • Computer Vision Crash Course, MaLGa, Università di Genova, 2022
  • Fundamentals of Deep Learning, NVIDIA DLI, 2022
  • R Programming, Course, The Johns Hopkins University, 2022.
  • Python for Data Science, Specialization, Datacamp, 2021 (4 Cources):
    • Python Data Science Toolbox Part 2.
    • Python Data Science Toolbox Part 1.
    • Intermediate Python.
    • Introduction to Python.
  • Deep Learning, Specialization, Deeplearning.ai, 2020 (5 Courses):
    • Sequence Models.
    • Structuring Machine Learning Projects.
    • Convolutional Neural Networks.
    • Improving Deep Neural Networks.
    • Neural Networks and Deep Learning.
  • Machine Learning, Course, Stanford Online, 2020.
  • Cisco CCNA 4.1, Cisco, 2008 (4 Cources).

Publications

Principal publications and presentations:
I.  Journal Publications

1.    Doughan Z, Al Mubasher H, Sliman L, Haidar A. A Multiple Criteria Decision Making-Based Recommender System for Neural Network Learning Rate Initialization. Available at SSRN 4500557. 2023.

2.    Haidar I, Doughan Z. “A Novel Specialized Search Engine for Ai-Models and Their Comparison”. BAU Journal-Creative Sustainable Development. 2023;4(2):2.

3.    Z. Doughan, H. Al Mubasher, M. Bizri, and A. M. Haidar “The Metaverse: A Virtual World in the Palm of Your Hand”, BAU Journal - Science and Technology, 2022.

4.    Z. Doughan, R. Kassem, A. M. El Hajj, A. M. Haidar “Artificial Neural Network Vision: Between Myth and Reality”, Theme Issue: Science Fiction or Fact? IEEE Potentials, 2022.

5.    Z. Doughan, R. Kassem, A. M. El Hajj, A. M. Haidar “Novel Preprocessors for Convolution Neural Networks”, IEEE Access, April 2022, DOI: 10.1109/ACCESS.2022.3163405

II.  Conference Proceedings
1.    Al Mubasher H, Doughan Z, Sliman L, Haidar A. “A Novel Neural Network-Based Recommender System for Drug Recommendation”. In International Conference on Engineering Applications of Neural Networks 2023 Jun 7 (pp. 573-584). Cham: Springer Nature Switzerland.

2.    Z. Doughan, R. Kassem, A. M. El Hajj, A. M. Haidar “Logic-Based Neural Network for Pattern Correction”, IEEE International Conference on Smart Systems and Power Management (IC2SPM), Beirut, Lebanon, November 2022.
3.    Z. Doughan, R. Kassem, A. M. El Hajj, A. M. Haidar “Logic-Based Neural Network for Image Compression Applications”, 3rd IEEE Middle East & North Africa COMMunications Conference (MENACOMM), Agadir, Morocco, December 2021, DOI: 10.1109/MENACOMM50742.2021.9678278
4.    Z. Doughan, W. Itani, A. M. Haidar "Advanced Biomimetic Cells Architecture for Parallel Operations in Artificial Intelligence", 4th International Conference on Advances in Computational Tools for Engineering Applications (ACTEA), Zouk Mosbeh, Lebanon, July 2019, DOI: 10.1109/ACTEA.2019.8851116
5.    H. Koleilat, Z. Doughan, Y. Attallah "Automatic Radial Routing Protocol for Public Transport System", 4th International Conference on Advances in Computational Tools for Engineering Applications (ACTEA), Zouk Mosbeh, Lebanon, July 2019, DOI: 10.1109/ACTEA.2019.8851091
6.    Z. Doughan, W. Itani, A. M. Haidar "Biomimetic Cells: A New Frontier in Brain Informatics", IEEE International Multidisciplinary Conference on Engineering Technology (IMCET), Le Commodore Hotel, Hamra, Beirut, Lebanon, November 2018, DOI: 10.1109/IMCET.2018.8603044
7.    Z. Doughan, W. Itani, A. M. Haidar "Bio-mimetic Approach in Digital Artificial Neuro-science", 3rd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA), Zouk Mosbeh, Lebanon, July 2016, DOI: 10.1109/ACTEA.2016.7560120