In line with the strategy of smart transformation
The United Arab Emirates University (UAEU) is participating with a distinguished range of services and projects at GITEX TECHNOLOGY EXHIBITION 2019, which opened on Sunday 06 October 2019, at the Dubai World Trade Center. The University pavilion has witnessed a remarkable turnout from GITEX visitors who are interested in the world of contemporary technologies and innovations in the field of scientific research, especially with regard to robotics, space technology and artificial intelligence.
For his part, Prof. Mohamed Albaili, UAEU Vice Chancellor stressed that the university's continuous participation in GITEX is part of highlighting the significance of the students’ projects presented in the university pavilion and the importance of presenting new services on the university application for smart phones, such as student e-services and blockchain, in line with Smart transformation strategy in all fields , encourage innovation and ideal development of up-to-date technologies in various fields of work. He added "We are keen to ensure that the participation of university researchers and students is always outstanding," highlighting that the participation of the university in the current edition of GITEX is a wonderful opportunity to showcase the achievements of the University, and activate collaboration and partnerships with leading institutions in this region, which in turn emphases UAEU’s position in the technology, knowledge and innovation industry as a foremost global platform in the world of information technology.
It is worth mentioning that the University is participating in GITEX this year with numerous innovative projects in the field of information technology, artificial intelligence, energy sciences, robotics and health sciences, for example: the presentation of the Smart Health Tracker Project, and “Bu Saif”, a robot based on artificial intelligence technology designed and developed at the College of Information Technology, HILATRICK series, artificial intelligence to save energy, developing an artificial brain in a robot, and analyze microarray data for cancer detection using machine learning algorithms.
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