ACM-UEMJ Presents Distinguished Speaker Program on Services Science and Services Computing
Shrisha Rao received his Ph.D. in computer science from the University of Iowa, and before that his M.S. in logic and computation from Carnegie Mellon University. He is a professor at IIIT-Bangalore, a graduate school of information technology in Bangalore, India. His primary research interests are in applications of distributed computing, specifically algorithms and approaches for resource management in complex systems such as used in cloud computing. He also has interests in energy efficiency, sustainable computing ("Green IT"), renewable energy and microgrids, applied mathematics, and intelligent transportation systems. Dr. Rao is an ACM Distinguished Speaker and a Senior Member of the IEEE. He is also a life member of the American Mathematical Society and the Computer Society of India.
He is also a regular reviewer for the ACM Computing Reviews journal (computingreviews.com), which reviews a sample of the latest publications related to the computing sciences.
Dr. Shrisha Rao
UEMJ ACM Student Chapter organised a DISTINGUISHED SPEAKER PROGRAM on:-
SNAzzy:SOCIAL NETWORK ANALYSIS FOR TELECOM BUSINESS INTELIGENCE
The program will be streamed live through the official facebook handle of UEMJ-ACM Student Chapter.All the interested candidates are requested to register for the same through the link below. Offline participation is open for Students of UEM,Jaipur only on successful registration through the same link. All the registered candidates will be provided with certificate of participation
SNAzzyis for analysing the social networks induced by calling patterns of the customers of Telecom Service Providers. It builds a social network of the telecom subscribers from the “who-calls-whom” CDR data. By analyzing the social network thus constructed, we can derive several useful insights about the customers’ interaction amongst each others and its implications. SNAzzy can find communities; find targets for campaigns of socially influenced product, predict potential churners, determine the ideal targets for acquisition from competition and assign importance score to the customers. his can help identifying group targets for promotions and campaigns. SNAzzy can also analyse churn behaviour to identify potential churners. Using SNAzzy, one can identify potential acquisition targets from the competition.
Dr.Amit A. Nanavati
is a Senior Technical Lead for Cognitive Automation Solutions at IBM. He joined IBM Research India in 2000 and has since worked on projects in ecommerce, data mining, telecom and mobile. He managed the Telecom Solutions Research group (2008-2013) which won Research Division Awards for their work on Social Network Analysis in Telecom and the Spoken Web projects. He was a Senior Manager of the Mobile and Telecom Research Group in 2014. Amit was named a Master Inventor in 2011, and became a member of the IBM Academy of Technology in 2013. He co-authored a book on "Speech in Mobile and Pervasive Environments" published by John Wiley, UK in 2012. He co-hosted the SiMPE workshop at ACM MobileHCI for 10 years. He has 50+ publications and 37 US patents granted. He became an ACM Distinguished Speaker in 2014, and ACM Distinguished Scientist in 2015. He was also a volunteer for the SIGDEV proposal to ACM in 2011. Prior to joining IBM, he worked for Netscape in California, after completing his Ph.D. in Computer Science from Louisiana State University, USA. During his Ph.D., he interned at the Jet Propulsion Lab (NASA) in Pasadena.
Dr.Amit A Nanavati
IBM INDIA Research Lab