Keynote Speakers

Biography

Prof. Khaled Shaalan currently occupies the Head of Informatics Department position at The British ‎University in Dubai, UAE. ‎He is currently holding the rank of a Full Professor of Computer Science and AI. He has gained significant academic experience ‎and insights into understanding complex ICT issues in many industrial and governmental domains through a career and affiliation spanning for more than 30 years with the international institutions, ‎such as the Swedish Institute of Computer Science, School of Informatics (University of Edinburgh), Faculty of Engineering & IT (The ‎British University in Dubai), and Faculty of Computers & Artificial Intelligence (Cairo University), international organizations such as UNDP/FAO, ‎industrial corporates, such as Microsoft/FAST search. ‎Areas of interest are Artificial Intelligence (AI), Natural Language Understanding, Knowledge Management, Health Informatics, Education ‎Technology, E-businesses, cybersecurity, and Smart Government Services.‎ He was selected as a member of Mohammed bin Rashed Academy of Scientists (MBRAS) under the ‎Engineering & Technology Category.‎ He is ranked among the worldwide 2% top scientists till now according to a study led by Dr ‎Ioannidis and his research team at Stanford University. He is also ranked as one of the Top Computer Scientists in the UAE according to the Research.com index‎. Prof Khaled has published around 350 referred publications and achieved accumulative Google Scholar citations over 15,900 with H-index 64. He supervised 87 MSc dissertations and 29 PhD theses in various computer science topics. UK. He acted as PhD external examiner to examine 32 theses from 10 Universities in 4 countries. He edited ‎6 Journal Special Issues, 9 Conference Proceedings, and 6 ‎Books in computer studies. He presented 9 Keynote Speeches. He evaluated 49 promotion applications worldwide to the rank of Associate Professor and Full Professor from 24 Universities in 8 countries. He serves as an Associate Editor for reputed journals, such as the ACM Transactions on Asian and Low-‎Resource Language Information Processing (TALLIP) and a member of several journal editorial boards. He was selected as a fellow at the School of Informatics, University of Edinburgh.

Title and short abstract of the presentation: 

Breaking Barriers: Bridging the Gap in Phishing Detection Across English and Arabic Languages

Phishing emails are a major threat, causing significant financial losses. While email offers valuable communication, it also creates opportunities for scammers. Traditional detection methods struggle to keep pace with evolving phishing tactics. This research addresses a critical gap in phishing detection: Arabic language emails. Arabic, spoken by over 300 million people, is largely ignored in anti-phishing efforts. This study proposes a Dual-Language Anti-Phishing (DLAP) model to tackle this challenge.The DLAP model leverages machine learning (ML) and natural language processing (NLP) techniques. It utilizes a combination of word-level embedding and character-level convolutional neural networks to analyze emails in both English and Arabic.The researchers built a unique dataset of English-Arabic phishing emails, ensuring equal representation of legitimate and phishing messages. Testing on this balanced dataset yielded impressive results. The DLAP model achieved an accuracy of 95.23% for Arabic emails, surpassing its performance on English emails (94.84%).These findings suggest that the DLAP model offers a powerful approach to detecting phishing emails in Arabic. This paves the way for more robust and multilingual anti-phishing solutions, protecting a wider range of internet users.