Dr. Ashraf Khalil


PhD in Computer Science, Indiana University, Bloomington, Indiana, USA.


Prof. Khalil has a PhD in Computer Science from Indiana University, USA and has published notable research in Human Computer Interaction, Ubiquitous Computing, Social and Mobile Computing, Bioinformatics, and Privacy. Prof. Khalil actively applies diverse technological innovations in addressing pertinent problems. He has authored over 50 publications in top journals and conferences and achieved numerous accolades including many research grants from ADEK, Emirates Foundation, and Google.

Prior to joining ZU, he worked at Abu Dhabi University as Director of Research and as Professor of Computer Science. During his tenure as Director of Research, he developed the university research strategy that led to a 6-fold increase in research productivity. He also established and directed the Center of Excellence for Smart, Entrepreneurial and Sustainable Cities. Prof. Khalil has played an instrumental role in promoting undergraduate research in the UAE as an integral part of university education through running the largest regional competition for undergraduate researchers for five consecutive years. Additionally, Prof. Khalil served as a usability consultant for major companies such as Nokia, HSBC, Microsoft, and Samsung.


Abu Dhabi Campus, FF2-0-048


02 599-3291

Teaching Areas

Project Management, Management Information Systems, Computer Ethics, Human Computer Interaction, IT Entrepreneurship, and others.

Research and Professional Activities

Research Area(s)

Ubiquitous computing, bioinformatics, privacy, persuasive computing, and human computer interaction.

Refereed journal papers

  1. Khalil, A., Ahmed, S., Khattak, A. and Al-Qirim, N., 2020. Investigating Bias in Facial Analysis Systems: A Systematic Review. IEEE Access.
  2. Ma, S., Khalil, A., Hajjdiab, H. and Eleuch, H., 2020. Quantum Dilation and Erosion. Applied Sciences.
  3. Talwar, S., Dhir, A., Khalil, A., Mohan, G. and Islam, A., 2020. Point of adoption and beyond. Initial trust and mobile-payment continuation intention. Journal of Retailing and Consumer Services.
  4. Kandil, H., Soliman, A., Taher, F., Ghazal, M., Khalil, A., Giridharan, G., Keynton, R., Jennings, J. and El-Baz, A., 2020. A novel computer-aided diagnosis system for the early detection of hypertension based on cerebrovascular alterations. NeuroImage: Clinical.
  5. Shehata, M., Shalaby, A., Switala, A., El‐Baz, M., Ghazal, M., Fraiwan, L., Khalil, A., El‐Ghar, M., Badawy, M., Bakr, A., Dwyer, A., Elmaghraby, A., Giridharan, G., Keynton, R. and El‐Baz, A., 2020. A multimodal computer‐aided diagnostic system for precise identification of renal allograft rejection: Preliminary results. Medical Physics.
  6. Khalil, A., Zia, H., and Abdallah, S., 2019, Privacy in the context of reciprocity: Conceptualizing users’ choices. Online Information Review.
  7. Al-Qirim, N., Rouibah, K., Serhani, M., Tarhini, A., Maqableh, M., Khalil, A. and Gergely, M., 2019. Antecedents to academic success in higher education institutions: The case of UAE University. Education and Information Technologies.
  8. Dhir A., Khalil A., Kaur P., and Rajala R., 2019, Rationale for “Liking” on Social Networking Sites, Social Science Computer Review.
  9. Złotowski, J., Khalil, A. and Abdallah, S., 2019. One robot doesn’t fit all: aligning social robot appearance and job suitability from a Middle Eastern perspective. AI & SOCIETY.
  10. Khalil, A., Elmogy, M., Ghazal, M., Burns, C., and El-Baz, A., 2019, Chronic Wound Healing Assessment System Based on Different Features Modalities and Non-Negative Matrix Factorization (NMF) Feature Reduction, IEEE Access.