Dr. Sanaa Kaddoura

Assistant Professor

PhD Degree in Computer Science from Beirut Arab University

Master Degree in Information Systems from Beirut Arab University

Bio

Dr Sanaa Kaddoura holds a PhD in computer science from Beirut Arab University, Lebanon. She is currently employed as an Assistant Professor of Computer Science at Zayed University, United Arab Emirates. 

Sanaa was awarded Young Woman Researcher in Computer Science in the 8th Venus International Women Awards (VIWA 2023). In addition, she is an award winning of "Woman Leader in ICT Excellence Award" in the "22nd Middle East Women Leaders Excellence Award". Moreover, she was awarded the Best Teaching Award from Beirut Arab University (2013). Furthermore, she was awarded Jamal Abdul Nasser Prize for Academic Distinction from Beirut Arab University (2008).

Sanaa lead several research projects funded externally and internally. Sanaa's emergent research profile shows her continuous work on her research topics. Sanaa is an active researcher in natural language processing. She published her first authored book in generative adversarial networks (GANs) in 2023. She recently published her first edited book, "Handbook of Research on AI Methods and Applications in Computer Engineering". She also did several papers about applying machine learning to medical problems, natural language processing and cyber security. She has more than 20 journal articles published in Scopus-indexed journals, more than 4 book chapters and more than 6 conference proceedings. Sanaa was invited several times to be a keynote speaker and write magazine articles. The links appear in the CV. 

She organized Workshop on Artificial Intelligence for Cybersecurity (AICS'22) under the 19th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2022) organized at Zayed University/AUH.

She has been a Fellow of the Higher Education Academy, Advance HE (FHEA) since 2019, demonstrating a personal and institutional commitment to professionalism in learning and teaching in higher education. Furthermore, she is a Certified Specialist from Blackboard Academy since April 2021. 

 
Office

Abu Dhabi Campus, MF2-0-034

Phone:

+971 2 599 3641

Email:
Teaching Areas

Computer Science courses, Cybersecurity, Data Analysis

Research and Professional Activities

Research Area(s)

Natural Language Processing, Machine Learning, Data Analysis

Authored Book

Kaddoura, S. (2023). A Primer on Generative Adversarial Networks. Springer Nature.

https://link.springer.com/book/10.1007/978-3-031-32661-5

 

Edited Book

Kaddoura, S. (Ed.). (2023). Handbook of Research on AI Methods and Applications in Computer Engineering. IGI Global. https://doi.org/10.4018/978-1-6684-6937-8

 

Awards

1)        Award Winning of "Woman Leader in ICT Excellence Award" in the "22nd Middle East Women Leaders Excellence Award"

2)       Young Woman Researcher in Computer Science in the 8th Venus International Women Awards (VIWA 2023) as appears in the link. https://viwa.info/2023/sc-computer.html

3)       Best Teaching Award from Beirut Arab University (2013) as appears in this link: https://www.bau.edu.lb/Science/Event/Best-Teaching-Assistant-Award

 

Keynote Speaker and Presentations

  1. Title: “Introduction to Arabic Natural Language Processing” at Zayed University in the Provost Professional Development Day Jan. 2023.
  2. Title: "Generative Adversarial Networks and their Applications" at the International Faculty Development Programme on "Demystifying Optimization Techniques" in 2021, at Bannari Amman Institute of Technology, India. https://www.youtube.com/watch?v=GLH9FOht6CQ&ab_channel=Math
  3. Title: "Introduction to Machine Learning" at the International Faculty Development Programme on "Demystifying Optimization Techniques" in March 2021 at Bannari Amman Institute of Technology, India. https://www.youtube.com/watch?v=a3fuzmjbTW0&t=303s
  4. ZU Faculty x Alumni Initiative about R Programming in 2022. Here is the link to the announcement: https://careers.zu.ac.ae/Blog/post/2022/09/21/sanaa
  5. Title: "Good Practices to Boost Students' Engagement During Online Teaching in COVID-19 Pandemic" At the Undergraduate Research Conference at Zayed University in May 2021, UAE.
  6. Title: "Nearpod as a tool for education during online teaching" At the Center of Educational Innovation at Zayed University to be a keynote speaker during Innovation Month – March 2021.

Media Interviews

Articles in Magazines

Research and Professional Activities

1)    Academic Editor at PLOS ONE Journal

2)    Organized Workshop on Artificial Intelligence for Cybersecurity (AICS'22) under 19th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2022) organized in Zayed University/AUH, where 8 papers were accepted in the workshop: https://aiccsa.net/AICCSA2022/index.php/symposiums-and-workshop/2-uncategorised/74-aics-2022

Refereed journal papers

  1. Dataset of Arabic spam and ham tweets, Data in Brief, 52, 109904, 2024
  2. EnhancedBERT: A Feature-rich Ensemble Model for Arabic Word Sense Disambiguation with Statistical Analysis and Optimized Data Collection, Journal of King Saud University-Computer and Information Sciences, 101911, 2024
  3. Arabic spam tweets classification using deep learning, Neural Computing and Applications, 1-14, 2023
  4. SDODV: A smart and adaptive on-demand distance vector routing protocol for MANETs, Peer-to-Peer Networking and Applications 16 (5), 2325-2348, 2023
  5. Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations, Applied Computational Intelligence and Soft Computing 2023
  6. The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations.  PeerJ Computer Science 9 (2023): e1252.
  7. Towards effective and efficient online exam systems using deep learning-based cheating detection approach. Intelligent Systems with Applications (2022): 200153.
  8. Evaluation of Machine Learning Algorithm on Drinking Water Quality for Better Sustainability" Sustainability 14(18) (2022).
  9. The impact of the Covid-19 pandemic on on-line examination: challenges and opportunities. Global Journal of Engineering Education 24 (2).  
  10. A systematic review on machine learning models for online learning and examination systems. PeerJ Computer Science. (2022)   
  11. A comprehensive review on Arabic word sense disambiguation for NLP applications. WIREs Data Mining and Knowledge Discovery (2022)  
  12. A systematic literature review on spam content detection and classification. PeerJ Computer Science (2022)   
  13. An Effective Hash-Based Assessment and Recovery Algorithm for Healthcare Systems. Arabian Journal for Science and Engineering (2021). https://doi.org/10.1007/s13369-021-06009-4.
  14. Analyzing the Effect of Negation in Sentiment Polarity of Facebook Dialectal Arabic Text. Applied Sciences 11.11, 2021.    
  15. Classification of Parkinson Disease Based on Patient's Voice Signal Using Machine Learning. Intelligent Automation & Soft Computing.   
  16. A Parallelized Database Damage Assessment Approach after Cyberattack for Healthcare Systems. Future Internet 13.4 (2021): 90.    
  17. Online learning on information security based on critical thinking andragogy. World Transactions on Engineering and Technology Education, 19(2), 2021.  
  18. An Approach to Reinforce Active Learning in Higher Education for IT Students. Global Journal of Engineering Education. 2021   

Papers in refereed conference proceedings

  1. Applying Neutralisation Theory to Better Understand Ransomware Offenders. In 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) (pp. 177-182). IEEE.
  2. The Social and Technological Incentives for Cybercriminals to Engage in Ransomware Activities. International Symposium on Security and Privacy in Social Networks and Big Data. Singapore: Springer Nature Singapore, 2023.
  3. Dual Learning Model for Multiclass Brain Tumor Classification in International Conference on Dependability and Complex Systems, 2022.
  4. Evaluation of Supervised Machine Learning Algorithms for Multi-class Intrusion Detection Systems in Future Technologies Conference, 2021
  5. A Spam Email Detection Mechanism for English Language Text Emails Using Deep Learning Approach. Proceeding in IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2020).  

Sanaa Kaddoura.JPG