Welcome to my website!

I am a computer scientist with more than 7 years of experience in data science and artificial intelligence. I obtained my Doctor of Philosophy (PhD) degree in Computer Science from the University of Southampton. I am currently an Assistant Professor at the College of Computer and Information Sciences (CCIS), King Saud University. My spark is in RDI (Research, Development and Innovation), and I find it amusing to get ideas in the production line, and that's where my focus is. 

Current roles:
  • CCIS Vice-Dean Assistant for Grad Studies and Scientific Research 
  • Digital Innovation Unit Director | Entrepreneurship Institute  

Research interests:
Currently, I am interested in social network analysis, in both the connectivity side and the content side. My interests include: analysing popular content on social media and communication-style studies. I am also interested in spatial-temporal social networks, Snapchat specifically. On the content-front, I am interested in Emojis analysis and prediction on social media (utilising NLP techniques). I am also interested in learning to rank approaches to content retrieval and ranking, which is a machine learning approach for information retrieval.

مختصر السيرة الذاتية
I am a computer scientist with more than 7 years of experience in data science and artificial intelligence. I obtained my Doctor of Philosophy (PhD) degree in Computer Science from the University of Southampton. I am currently an Assistant Professor at the College of Computer and Information Sciences (CCIS), King Saud University. My spark is in RDI (Research, Development and Innovation), and I find it amusing to get ideas in the production line, and that's where my focus is.

I am interested in data science, web science and network science, I call them the collaborative sciences. I have worked on many projects in the intersection of the aforementioned sciences such as studying the spread of information on social networks, ranking content retrieved from social media and analysing location-based data.

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