Dr. Di Wang is a Senior Researcher in EBTIC. Her current main research is focused on text mining for both formal articles and short messages, for both English and Arabic. The aim of the research is to propose and develop intelligent algorithms for accurate and instant articles/short messages filtering, classification and analysis. Based on the proposed algorithms a couple of prototypes have been, are being and will be deployed to the partners and projects. Applications include social media customer contact based on tweets, instant traffic alert/warning based on tweets, dynamic student profiling and active recommender. She also has proposed and developed a general Grouping Tool (GT) in EBTIC for student care, which has been deployed to Khalifa University faculty.

Dr. Di Wang serves as the Editor Board for the Journal of Evolving Systems (Springer publishing, starting from 2013), and the Journal of Experimental & Theoretical Artificial Intelligence (impact factor 0.466, starting from 2014). She has published more than 40 papers in international journals and conferences. She also serves as Committee Member, Special Session Chair, and Competition Panel Member for several IEEE conferences, e.g. IEEE World Congress on Computational Intelligence, and serves as Reviewer for a number of international journals including IEEE transactions.

Dr. Di Wang obtained her PhD degree in Computer Engineering from Nanyang Technological University, Singapore. Before joining EBTIC, she did her research in Manchester University and the University of Stirling in UK. She proposed a couple of novel architectures and learning methods for machine learning and data mining which were successfully deployed in the commercial domains, e.g. petrol pricing, retail time serious forecasting, etc.

Prof. Ernesto Damiani holds a PhD from Università di Milano and received a doctorate "honoris causa" from INSA-Lyon, France. Ernesto is the President of the Italian Inter-University Consourtium on Informatics 'CINI - http://www.consorzio-cini.it/', and a full professor at Universita' di Milano (Italy) where he leads several projects funded by the European Commission. Since 2019, Ernesto is the Senior Director of the Artificial Intelligence and Intelligent Systems Institute at Khalifa University, UAE. His research interests include Big Data Analytics and Cyber Security.

Dr. Rabeb Mizouni is currently an associate professor in the department of electrical engineering and computer science at Khalifa University. Involved research topics include mobile application development, software engineering, requirement engineering, web services, communities and Software Product Lines, event detection and data fusion. Rabeb got her PhD and her MSc in Electrical and Computer Engineering from Concordia University, Montreal, Canada in 2007 and 2002 respectively.

Mr. Ahmad AlRubaie is a member of EBTIC’s senior management team and is responsible for defining and managing EBTIC’s research and innovation programme including manpower and funding. Ahmad also leads EBTIC’s research on social media, Arabic language analytics and IoT analytics. Ahmad has 27 years of experience focusing primarily on tackling challenges to develop novel applications and solutions where there are technology or market gaps

Prior to joining EBTIC, Ahmad worked At BT Innovate where he was involved in the identification, articulation and down-streaming of innovation.

Ahmad also worked as a Programme Manager for the BT Group CTO managing the CTO's key external programmes and board engagements. This included high profile organisations such as ATIS (Alliance for Telecommunications Industry Solutions), the GIIC (Global Information Infrastructure Commission) and BT’s engagement with the OLPC (One Laptop Per Child).

Ahmad’s research interests are primarily around text analytics applications for Smart Cities, with a special on the challenges posed by short messages, his other interests include anomaly and fault detection for IoT enabled applications.

Ahmad’s key focus is on driving and leveraging research to deliver tangible value to organizations and society to enable an innovation eco-system underpinned by the advancement of science to better our quality of life and sustain the environment.

Ahmad is a full member of the IET, a Senior Member of the IEEE, and a member of the IEEE Computational Intelligence Society.

Dr. Ahmed AlDhanhani is a Researcher in EBTIC. He is a recent PhD graduate from Khalifa University specializing in machine learning. His PhD thesis focuses on the area of fusion between heterogeneous data to detect traffic incidents automatically. He also got his MSc from Khalifa University where he built an Educational Social Networking Site that entices the collaboration between students. He got his BSc from United Arab Emirates University with a specialization in Software Engineering. His current research interests include Time Series Classification and Social Media Analysis.