Alvin Chin is Senior Researcher, Machine Learning, BMW Technology Corporation at BMW Group in Chicago, USA and is an Adjunct Professor at DePaul University teaching DSC 323/423. His current research involves studying data from sensors in the cars and using data analytics and machine learning in order to understand driving behavior and create applications that improve driving
experiences. His previous research explored studying user behavior on the mobile web and in social
networks, creating recommendations of web content based on user profiling and context, and studying how the mobile phone can be used for creating physical proximity social networks to capture and infer context for social activity and collaboration in offline physical environments and online social networking sites such as Facebook or Twitter, and also designing improved people recommendation systems that take into account physical context. Alvin has Bachelors and Masters degrees in Computer Engineering from the University of Waterloo and a PhD in Computer Science from the University of Toronto, Canada. His research interests include machine learning, AI, social networking, computer-supported collaborative work, web and data mining, recommendations, context-aware computing, and pervasive and ubiquitous computing. Alvin is active in program committees of various conferences such as CSCW, CHI, SocialCom, Hypertext, UbiComp, CPSCom, and UIC/ATC. He is also an Associate Editor for the New Review of Hypermedia and Multimedia journal, and a guest editor in ACM Transactions on Internet Services and Technology. Alvin received a Best Paper Award at IEEE CPSCom 2011. He is an Editor of a book called Mobile Social Networking: An Innovative Approach published by Springer, has several book chapters, and has presented at both academic and industry events.
Data Analysis, Artificial Intelligence, Human Computer Interaction
Specific Research Area
Machine learning and analytics