Dr Mohammad Reza Beik Zadeh
- Big Data Analytic Consultant
Specialization: Artificial Intelligence - Machine Learning, Data Mining, Semantic Technology, Prediction and Planning
Bibliography: An experienced researcher in the fields of artificial intelligence and computer science. An inspiring team leader in international R&D Organizations in the field
of ICT. A dedicated lecturer and an innovative researcher in Artificial Intelligence, Semantic Technology, Big Data Analytics. A Data Scientist.
From 2012-2017, he has been involved in teaching, advanced research in the
field of machine learning, genetic algorithm, and fuzzy logic as well as conducting workshops and proposing research centre of excellences in different universities in Kuala Lumpur. He, as a data scientist, has consulted several projects related to Big Data
analytics projects and Big Data analytics applications for Malaysian government 4 Big Data projects under MAMPU (price watch, crime watch, HFMD prediction, Sentiment Analysis for patriotism). In these projects, he has been mostly involved in data analysis,
data modelling, prediction modelling, visual analytics, etc. Recently, he has proposed Big Data CoEs to 4 universities (MMU,UM,UTM,UKM) in order to support bi data research and development as well as academic and technical training.
Cars: convergence of IoT, Machine Learning and Big Data Analytics
Abstract: An intelligent and intuitive vehicle is characterized by self-driving and self-healing capabilities, but it
can also be defined by self-integrating, self-configuring, self-learning and self-socializing capabilities. Car-to-car communication could help drivers avoid accidents by providing warnings and notification regarding the obstacles detected on the road.
Understanding road and surrounding cars' situation enable each care to react intelligently to the environment. One solution for unifying disparate cognitive technologies into existing vehicles, and into the design of future vehicles, is to build cognitive
technologies into an Internet of Things device for personalized experiences. In this presentation the main challenges and complexities related to design of a cognitive car will be highlighted and the roles of Artificial Intelligent related technologies
to tackle the said challenges and complexities will explained.