Dr. Sanaa Kaddoura
Assistant Professor
PhD Degree in Computer Science from Beirut Arab University
Master Degree in Information Systems from Beirut Arab UniversityBio
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). Moreover, she was awarded the Best Teaching Assistant Award from Beirut Arab University (2013). Moreover, she was awarded Jamal Abdul Nasser Prize for Academic Distinction from Beirut Arab University (2008).
Currently, she is leading a project funded by Mohamad Bin Rashed Fund for Smart Learning to collect data from universities and analyze this data using machine learning and natural language processing to solve the employment gaps in university graduates in UAE universities.
Sanaa's emergent research profile shows her continuous work on her research topics. Sanaa is an active researcher in cyber security and Arabic Natural Language processing. 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 16 journal articles published in Scopus-indexed journals, two book chapters and six 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:
02 599 3641
Email:
sanaa.kaddoura@zu.ac.aeTeaching Areas
Computer Science courses, Cybersecurity, Data Analysis
Research and Professional Activities
Research Area(s)
Cybersecurity, Natural Language Processing, Machine Learning, Data Analysis
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) Young Woman Researcher in Computer Science in the 8th Venus International Women Awards (VIWA 2023) as appears in the link https://viwa.info/2023/science/computer.html.
2) 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
- Title: “Introduction to Arabic Natural Language Processing” at Zayed University in the Provost Professional Development Day Jan. 2023.
- 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
- 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
- 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.
- 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
- Computer Science, Education, and Supply Chains: an Interview with PLOS ONE Academic Editor Sanaa Kaddoura: https://everyone.plos.org/2022/11/01/computer-science-education-and-supply-chains-an-interview-with-plos-one-academic-editor-sanaa-kaddoura/
- Interview through Nidal Haykal Live YouTube Channel that interviews professionals in different fields. The link to the interview is here: https://www.youtube.com/watch?v=cJS2HnQOcsk
Articles in Press
- "Information Technology Paths in Higher Education" in Higher Education Digest, an indexed magazine. Available at: https://www.highereducationdigest.com/information-technology-paths-in-higher-education/
- The Role of Technology in Education” in The Education View. Available at: https://magazines.theeducationview.com/2022/the-inspiring-education-leaders-in-uae-2022-november2022/#page=18
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
- The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations. PeerJ Computer Science 9 (2023): e1252.
- Towards effective and efficient online exam systems using deep learning-based cheating detection approach. Intelligent Systems with Applications (2022): 200153.
- Evaluation of Machine Learning Algorithm on Drinking Water Quality for Better Sustainability" Sustainability 14(18) (2022).
- The impact of the Covid-19 pandemic on on-line examination: challenges and opportunities. Global Journal of Engineering Education 24 (2).
- A systematic review on machine learning models for online learning and examination systems. PeerJ Computer Science. (2022)
- A comprehensive review on Arabic word sense disambiguation for NLP applications. WIREs Data Mining and Knowledge Discovery (2022)
- A systematic literature review on spam content detection and classification. PeerJ Computer Science (2022)
- 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.
- Analyzing the Effect of Negation in Sentiment Polarity of Facebook Dialectal Arabic Text. Applied Sciences 11.11 (2021).
- Classification of Parkinson Disease Based on Patient's Voice Signal Using Machine Learning. Intelligent Automation & Soft Computing.
- A Parallelized Database Damage Assessment Approach after Cyberattack for Healthcare Systems. Future Internet 13.4 (2021): 90.
- Online learning on information security based on critical thinking andragogy. World Transactions on Engineering and Technology Education, 19(2), 2021.
- An Approach to Reinforce Active Learning in Higher Education for IT Students. Global Journal of Engineering Education. 2021
Papers in refereed conference proceedings
- Dual Learning Model for Multiclass Brain Tumor Classification in International Conference on Dependability and Complex Systems, 2022. Core rank C conference and Scopus Indexed
- Evaluation of Supervised Machine Learning Algorithms for Multi-class Intrusion Detection Systems in Future Technologies Conference, 2021 Scopus Indexed
- 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). Core rank B conference and Scopus Indexed