Mobile Payments is an emerging service which allows mobile phone users to transfer money in an instantaneous manner to other users/merchants merely by a click on their mobile phones. Typically, this service does not involve any bankers in the loop and hence is a perfect solution to boost trades and commerce activities in countries where banking infrastructure is very poor. The business of mobile payment services is growing at an unprecedented rate word-wide. However, the bad news is that this service is susceptible to various kinds of fraudulent attacks and is also an easy gateway for money laundering/terrorist financing activities. In this talk, we would be uncovering some of these challenges faced in practice while designing such a service and possible ways to tackle them by leveraging machine learning techniques.
Dr. Dinesh Garg is a Researcher in Business Analytics & Maths Sciences (BAMS) department of IBM India Research Lab, New Delhi. His research interests span across a wide range of topics including auction theory, game theory, mechanism design, optimization, algorithms, data mining, and machine learning. Prior to joining IBM Research, he worked at Yahoo! Labs Bangalore as a Scientist in Online Ad Sciences division. Dinesh completed his MSc (Engineering) and PhD degrees in Computer Science and Automation (CSA) from Indian Institute of Science (IISc), Bangalore in 2002 and 2006 respectively. The awards secured by Dinesh include: best new application paper award for IEEE Transactions on Automation Science and Engineering in 2004 and 2008; Alumni medal for the best PhD thesis in Dept. of Computer Science and Automation, IISc; Indian National Academy of Engineering (INAE) Young Engineer Award in 2007; IBM India PhD fellowship; and Prof. F.N. Mowdawala medal for the best M.Sc. (Engineering) thesis in the Division of Electrical Sciences, IISc Bangalore.