HomeDeanship of Graduate StudiesGraduate FacultyPrograms FacultyProfilesAsad Khattak

Asad Khattak

Professor and Graduate Program Coordinator
+971 2 599 3229
 
AUH Campus
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  • PhD Computer Engineering, 2012, Kyung Hee University, South Korea 

  • Data Curation and Representation, Data Mining, Semantic Web, Machine Learning, Deep Learning, Computational Intelligence, e & m-Healthcare, Smart Cities, and Secure Computing. 

  • Professor and Graduate Program Coordinator, College of Technological Innovation (CTI), Zayed University, UAE (August 2023 – present) 

  • Assistant Chair Department of Computing and Applied Technology (CAT), College of Technological Innovation (CTI), Zayed University, UAE (August 2021 – July 2022) 

  • Visiting Professor, Nanjing Institute of Technology, Nanjing (NJIT), China (December 2019 – Present) 

  • Associate Professor, College of Technological Innovation (CTI), Zayed University, UAE (August 2017 – July 2023) 

  • Assistant Professor, College of Technological Innovation (CTI), Zayed University, UAE (August 2014 – July 2017) 

  • Assistant Professor, Department of Computer Engineering, Kyung Hee University, South Korea (April 2013 – January 2015) 

  • Post-Doctoral Fellow, Department of Computer Engineering, Kyung Hee University, South Korea (September 2012 – March 2013) 

  • Research Associate, Ubiquitous Computing Lab (UC Lab), Kyung Hee University, South Korea (March 2009 – August 2012) 

  • Research Associate, DELSA Lab, SEECS, NUST, Pakistan (October 2006 – December 2008)

  • Enterprise Tech Consultant, Techsasoft (Pvt.) Ltd (https://techsasoft.net/), Global (March 2021 – August 2022) 

  • Web Developer, of Gomal University official website, Gomal University, Pakistan (January 2004 – December 2004) 

  • Senior Member of IEEE  

  • ACM Distinguished Speaker 

  • Reviewer for several journals and conferences

  1. Asad Masood Khattak, Nosheen Jellani, Muhammad Zubair Asghar, Usama Asghar, “Personality classification from text using bidirectional long short-term memory model”, Multimedia Tools and Applications, Springer US, pp: 1-25, September 2023 

  1. Bader Rasheed, Asad Masood Khattak, Adil Khan, Stanislav Protasov, Muhammad Ahmad, “Boosting Adversarial Training Using Robust Selective Data Augmentation”, International Journal of Computational Intelligence Systems, vol: 16, issue: 1, article: 89, 2023 

  1. Mubashir Ahmad, Omar Alfandi, Asad Masood Khattak, Syed Furqan Qadri, Salabat Khan, Bashir Hayat, Arshad Ahmad, “Facial expression recognition using lightweight deep learning modeling”, Mathematical Biosciences and Engineering, vol: 20, issue 5, pp: 8208-8225, 2023 

  1. Asad Masood Khattak, Muhammad Zubair Asghar, Hassan Ali Khalid, Hussain Ahmad, “Emotion classification in poetry text using deep neural network”, Multimedia Tools and Applications, Springer US, pp: 1-22, March 2022 

  1. Muhammad Fahim, SM Kazmi, Asad Masood Khattak, “ApplianceNet: a neural network-based framework to recognize daily life activities and behavior in smart home using smart plugs”, Neural Computing and Applications, Springer London, pp: 1-15, Feb 2022 

  1. Asad Masood Khattak, Muhammad Zubair Asghar, Mushtaq Ali, Ulfat Batool, “An efficient deep learning technique for facial emotion recognition”, Multimedia Tools and Applications, Springer US, 1-35, October 2021 

  1. Muhammad Atif Butt, Asad Masood Khattak, Sarmad Shafique, Bashir Hayat, Saima Abid, Ki-Il Kim, Muhammad Waqas Ayub, Ahthasham Sajid, Awais Adnan, “Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems”, Complexity, Hindawi, February 2021 

  1. Asad Masood Khattak, Muhammad Zubair Asghar, Zain Ishaq, Waqas Haider Bangyal, Ibrahim A Hameed, “Enhanced concept-level sentiment analysis system with expanded ontological relations for efficient classification of user reviews”, Egyptian Informatics Journal, April 2021. 

  1. Asad Masood Khattak, Anam Habib, Muhammad Zubair Asghar, Fazli Subhan, Imran Razzak, Ammara Habib, “Applying deep neural networks for user intention identification”, Soft Computing, 2191-2220, Feb, 2021 

  1. Asad Masood Khattak, Rabia Batool, Fahad Ahmed Satti, Jamil Hussain, Wajahat Ali Khan, Adil Mehmood Khan, Bashir Hayat, “Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation”, Complexity, Vol 2020, Dec 2020.

  • Start-up Grant, Zayed University, 2020/7 – Now.

  • Research Incentive Fund (RIF), Zayed University, 2020/12-Now.

  • Short Term Grant (STG), Zayed University, 2020/5 – 2020/9.

  • NSERC Alexander Graham Bell Canada Scholarship (CGS D), 2017/9 – 2019/4.

  • NSERC Doctoral Scholarship – PGS2, 2017/5 to 2017/8.

  • University of Ottawa Excellence Scholarship, 2017/5-2019/4.

  • FRQNT Doctoral (B2X) scholarships (Declined), 2017/5 to 2019/4.

  • Onatrio Graduate Scholarship (OGS), (Declined), 2017/5 to 2018/4.

  1. Business Online a Russian News agency covered my research work “Applications of AI in the MENA Region”  https://www.business-gazeta.ru/article/603863,  https://www.business-gazeta.ru/article/604135 in Year 2023. 

  1. Silver Project Award for Emirati Sign Language Translator at the UAE Telecommunications and Digital Government Regulatory Authority (TDRA) organized UAE Hackathon 2023, Abu Dhabi, UAE – in Year 2023 (https://www.wam.ae/en/details/1395303136351)  

  1. Dubai World Trade Center media coverage of my research "Health at hand: how smartwatches are revolutionising healthcare"  https://www.dwtc.com/en/industry-insights/how-smartwatches-are-revolutionising-healthcare in Year 2019. 

  1. The National News Paper coverage of my research “how smartwatches could save lives by 'revolutionising' health care” https://www.thenational.ae/uae/health/how-smartwatches-could-save-lives-by-revolutionising-health-care-1.885899in Year 2019. 

  • SEC-640 – Database and Enterprise Application Security