Real-World Data Analytics and Problem Solving with Industrial Collaboration: My First-Hand Experience

Abstract

I will use two cases to share the audience with my own experience on industrial collaboration for data analytics research. The first case is to help an online game company to predict the lifetime of online games, while the second case is to predict whether a phone call from an unknown number is malicious or not.? I will talk how the collaboration started and the various technical and non-technical challenges we encountered in the collaborative research. Bio: Dr. Sheng-Wei Chen (also known as Kuan-Ta Chen) is an Associate Research Fellow at the Institute of Information Science and the Research Center for Information Technology Innovation (joint appointment) of Academia Sinica. He received his Ph.D. in Electrical Engineering from National Taiwan University in 2006, and his B.S. and M.S. in Computer Science from National Tsing Hua University in 1998 and 2000, respectively. Prior to taking his academic path, he was active as a programmer specialized in Windows system programming, a technical writer, and a freeware/shareware developer. His research interests span various areas in multimedia computing and social computing with an emphasis on user experience, multimedia systems and networking, and crowdsourcing. He received the Best Paper Award (with Ieng-Fat Lam and Ling-Jyh Chen) in IWSEC 2008 and K. T. Li Distinguished Young Scholar Award from ACM Taipei/Taiwan Chapter in 2009. He also received the Outstanding Young Electrical Engineer Award from The Chinese Institute of Electrical Engineering in 2010, the Young Scholar's Creativity Award from Foundation for the Advancement of Outstanding Scholarship in 2013, and IEEE ComSoc MMTC Best Journal Paper Award in 2014. He has been an Associate Editor of IEEE Transactions on Multimedia since 2011. He is a member of ACM, IEEE, IICM, and CCISA. ?