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Ziad Doughan

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Ziad Doughan


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Electrical and Computer Engineering


Google Scholar Citations: 14


H-Index: 3


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

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

Academic experience

•    Beirut Arab University, 2022 – present, full time, Assistant Professor
•    Beirut Arab University, 2020 – 2021, part time, Lecturer
•    Beirut Arab University, 2016 – 2019, part time, Instructor

Non-academic experience

•    Khatib And Alami JV Arabian Construction Company, 2013 – 2022, full time, Cost Control Unit Team Leader
•    LACECO Architects & Engineers, 2008 – 2012, full time, Information Systems Engineer
•    Ministry of Finance Lebanon, 2006 – 2008, full time, Software Engineer
•    Beirut Arab University Alumni, 2006 – 2008, part time, Web Administrator

Current membership in professional organizations

•    Member in Order of Engineering Lebanon
•    Member in the IEEE
•    Member in the IEEE-CIS

Honors and Awards:

Honors:
•    Honoring Guest in: Huawei ITC competition Finals, China 2024.
•    Keynote speaker in workshop: Future of Academia in Light of Artificial Intelligence, presentation Topic: "Applications of AI in Engineering" 2024.
•    Coordinator of Huawei ICT Academy, in accordance to the partnership agreement between Huawei and Beirut Arab University, 2022 – till present.
•    Program Committee Member in the 20th International Conference on Artificial Intelligence Applications and Innovations (AIAI) 2024.
•    Program Committee Member in the 25th International Conference on Engineering Applications of Neural Networks (EANN) 2024.
•    Plenary Session Chairs, ICABME23 2023: 7th International Conference on Advances in Biomedical Engineering (ICABME23) 2023.
•    Program Committee Member in the 19th International Conference on Artificial Intelligence Applications and Innovations (AIAI) 2023.
•    Program Committee Member in the 24th International Conference on Engineering Applications of Neural Networks (EANN) 2023.
•    Session Chair, ACTEA 2019: Session chair for the "Transportation" session at the 2019 Fourth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA) 2019.
•    Program Committee Member in the 27th International Conference on Artificial Neural Networks (ICANN) 2018.
Awards:
•    1st place in IBDAA competition, AUB 2024
•    1st place in DARE robotics competition, LAU 2024
•    3rd place in Huawei ITC competition, Bahrein 2024.
•    United Nations Public Service Award, United Nations Public Service: Taxpayer service system, Winner of: "United Nations Public Service Award on improving the delivery of services". 2007.

Service activities

•    2024-2025    Supervisor for IEEE-CIS: Computational Intelligence Society
•    2022-2024    Community service committee member-Beirut Arab University 
•    2022-2024    Engineering consultancy committee member-Beirut Arab University
•    2021-2024    Huawei ICT Project Coordinator-Huawei JV. Beirut Arab University
•    2021-2024    ABET advisory board-Beirut Arab University
•    2021-2024    Advisor for A.R.C.: Artificial Intelligence and Robotics Student Club
•    2021-2022    Research committee member-Beirut Arab University
•    2021-2022    Engineering Day committee member-Beirut Arab University

Experience Courses (Graduate and Undergraduate)

•    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
•    Reinforcement Learning
•    Cognitive Robotics

Research Interests

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

Publications

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


Conference Proceedings:
1.    Doughan, Z., Itani, S. (2024). Machine Unlearning, A Comparative Analysis. In: Iliadis, L., Maglogiannis, I., Papaleonidas, A., Pimenidis, E., Jayne, C. (eds) Engineering Applications of Neural Networks. EANN 2024. Communications in Computer and Information Science, vol 2141. Springer, Cham. https://doi.org/10.1007/978-3-031-62495-7_42
2.    H. S. Bazzi, A. H. Nassar, I. M. Haidar, A. M. Haidar and Z. Doughan, "ResNet-Based Detection of SYN Flood DDoS Attacks," 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT), Greater Noida, India, 2024, pp. 1142-1147, doi: 10.1109/IC2PCT60090.2024.10486707.
3.    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.
4.    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.
5.    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
6.    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
7.    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
8.    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
9.    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

Certificates

  • Team-Based Learning: An Effective Tool for Student Engagement, BAU, 2024
  • 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).

Peer-reviewer

•    Engineering Applications of Artificial Intelligence, ELSEVIER Journal.
•    20th International Conference on Artificial Intelligence Applications and Innovations (AIAI) 2024.
•    25th International Conference on Engineering Applications of Neural Networks (EANN) 2024.
•    19th International Conference on Artificial Intelligence Applications and Innovations (AIAI) 2023.
•    24th International Conference on Engineering Applications of Neural Networks (EANN) 2023.
•    International Conference on Smart Systems and Power Management (IC2SPM) 2022.
•    International Conference on Artificial Neural Networks (ICANN) 2018.

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