Today’s data generation comes from many sources, for instance; social media, sensor technologies, scientific experiments, IoT etc. Every day, there are huge amount of data being collected requiring storage and analysis to yield its value. For Prof. Abdullah Gani, Big Data, Cloud computing and Data Mining play an important role in our day-to-day activities. He gave the example of WhatsApp. This social connective app generates huge data in forms of messages, audio and video. From WhatsApp alone, this data can be used for different purposes, such as user profiling, security surveillance, and marketing.
For over 20 years, Prof. Abdullah Gani has perfected his expertise in Switched Networks, Soft Computing, Routers Technology, Middleware Technology, Mobile Technology and Mobile Network Technologies. In April 1998, he was the Head of Department for the Department of Computer System & Technology at the Faculty of Computer Science & Information Technology at University Malaya. In 2005, he was appointed as a CISCO Certified Associate Instructor and he was an Associate Member for the Member of International Association of Engineers. He obtained tertiary academic qualifications from the University of Hull, UK – B.Phil, and M.Sc (Information Management) and the University of Sheffield, UK for Phd in Computer Science. Prior to his degree studies, he acquired the Teaching Certificate from Kinta Teaching College, Ipoh and Diploma of Computer Science, from ITM. He has vast teaching experience due to having worked in a number of educational institutions locally and abroad – schools, Malay Women Teaching College, Melaka, Ministry of Education; RotterhamCollege of Technology and Art, Rotterham, UK, University of Sheffield, UK.
His interest in research kicked off in 1983 when he was chosen to attend the 3-Month Scientific Research Course in RECSAM by the Ministry of Education, Malaysia. Since then, more than 150 academic papers have been published in proceedings and respectable journals internationally within top 10% ranking. He received a very good number of citation in Web of Science as well as Scopus databases. At Taylor’s University, he specializes in Networking, Big Data, Cloud Computing, Data Mining, ICT Application Education and ICT Infrastructure, Distributed Computing.
His current project under the flagship research programme: Data Analytics, Modelling and Visualisation, is on Travel Behaviour Modelling. In this project, a study on current social behaviour of urban Malaysians towards the use of transport will be carried out. The study will include their perception towards transport and climate change, their travel habits, their choice of transport and the issues pertaining to transport and travel patterns. Data will be collected: through an online survey and Using Mobile device to track travel behaviour. All these data will be analysed using Big Data Techniques and a "Malaysian Urban Travel Behaviour" model will be conceptualised. Based on outcome of these analyses, a framework will be proposed to drive smart mobility programmes.
According to Prof. Abdullah, in Malaysia, the application of Big Data, Cloud Computing and Data Mining in Tourism is still at the early stage. The potential of application in Tourism industry are great, covering all aspects of Tourism. For instance, by doing so, he will be able to understand the pattern, trends, association and many more. Cloud Computing offers computing services remotely in the form of infrastructure as a service (IaaS), platform as a service (PaaS) and Software as a service (SaaS). All the services cut cost of ownership, offer high performance, provide reliable security, improve productivity and accessibility globally. The services facilitate the need of computing to respond the proliferation of data generation technologies and social media.
Data is knowledge and that knowledge is incredibly powerful. It can be either for social, financial analysts, governments, travel analysts or business owners. With this vast amount of information, along with increasingly developed means of disseminating the data could potentially mean that we are able to control the risks and effects that Big Data will have in our decision-making. This information has such a wide range of uses for a wide range of disciplines, which in turn has positively become a trend for future improvement.