Mohammad Mahdi Rezapour received the B.S. and M.S. degrees in Software Engineering from Isfahan University of Technology, Iran, in 2014 and 2016 respectively and currently he is a Ph.D. Candidate in Software Engineering with the Department of Computer Engineering, University of Isfahan, Iran. Mahdi’s history of video games research and development and in particular developing games with the advanced game engines such as CryEngine goes back to 2011. He is a director and leader of Isfahan University of Technology video games group and also meanwhile he does Leadership responsibilities of Isfahan University IoT lab and Big Data Group for software and hardware infrastructures development. His current research includes Game Analytics, Big Data Analytics and Serious games. * Some of the related lectures he has conducted are the following: - Predicting Customer Behavior in Cloud Computing Services, lecture given on October 23, 2017 at the Iran Telecommunication Research Center, Tehran City, in the Big Data Challenge Competition closing ceremony. - Game Analytics Solutions, lecture given on February 28, 2017 at the Electrical and Computer Engineering Department, Isfahan University of Technology, Isfahan City, Iran. - Big Data Technologies, Opportunities, and Challenges, lecture given on November 23, 2017 at the AUTOCOM 2017, Isfahan Province International Exhibition, Isfahan City, Iran. - Player Modeling Based on Big Data Processing frameworks, lecture given on February 26, 2018 at the Computer Engineering Department, Isfahan University of Technology, Isfahan City, Iran. * Related Achievements: - Rank 2 In Big Data National Competition(2017), Iran Telecommunication Research Center - Ministry of Information and Communications Technology of Iran
The competition in the video game industry has reached a point where the need to use new methods and technologies to remain in this competition is inevitable. One of these methods is the use of Game Analytics(GA) sciences to understand the players' tastes, interests and engagement factors better and to adapt the various components of the video game based on it. But the big challenge in this area is how to process a huge amount of games logs as well as players behavioral data with different structures in massively multiplayer online games(MMOGs) especially in real time manner. In this lecture, firstly, we will briefly talk about current issues in GA approaches and also introduce some related Big Data methods and technologies, and then we will determine how to use Big Data technologies for common cases of GA such as Players profiling and modeling.
beginners, intermediate, experts