Deep Learning Innovations and Their Convergence With Big Data (Advances in Data Mining and Database Management (ADMDM))

"This book capture the state of the art trends and advancements in big data analytics, its technologies, and applications. The book also aims to identify potential research directions and technologies that will facilitate insight generation in various domains of science, industry, business, and consumer applications"--

Anand Paul is currently working in The School of Computer Science and Engineering, Kyungpook National University, South Korea as Assistant Professor. He got his Ph.D. degree in the electrical engineering at National Cheng Kung University, Taiwan, R.O.C. in 2010. His research interests include Algorithm and Architecture Reconfigurable Embedded Computing. He is a delegate representing South Korea for M2M focus group and for MPEG. 2004-2010 he has been awarded Outstanding International Student Scholarship, and in 2009 he won the best paper award in national computer symposium, Taipei, Taiwan. He serves as a reviewer for IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transaction on System, Man and Cybernetics, IEEE Sensors, ACM Transactions on Embedded Computing Systems, IET Image Processing, IET Signal Processing and IET Circuits and Systems He gave invited talk in International Symposium on Embedded Technology workshop in 2012, He will be the track chair for Smart human computer interaction in ACM SAC 2014, and upcoming ACM SAC 2015. He is also an MPEG Delegate representing South Korea.