Title: The Internet of Things (IoT) Big Data Analytics
Mahmoud Daneshmand, PhD
Business Intelligence & Analytics
Howe School of Technology Management
School of Engineering & Science
Stevens Institute of Technology, NJ,USA
Emeritus Distinguished Member of Technical Staff
Assistant Chief Scientist
AT&T Shannon Labs - Research
Florham Park, NJ, USA
The Big Data of the future is generated by billions of “things” connected to the Internet. The term Internet of Things (IoT), born 2009, may be simplified as “Sensors/RFID devices + Communications”.
It is estimated that by 2020, 50 billion sensors/RFID devices will be generating data on all aspects of the human life: health, environment, transportations, security, shopping, home, etc. The Biggest Challenge of the Big Data is management and mining of ever-increasing streams of data generated by these devices.
This talk will focus on management and mining of IoT Big Data. Emphasize will be on data accuracy, data mining techniques, and future research direction of real time large scale stream data mining.
Biography: Mahmoud Daneshmand is Professor of Business Intelligence & Analytics at Howe School of Technology Management as well as Computer Science at School of Engineering and Sciences, Stevens Institute of Technology. He has more than 35 years of teaching, research & publications, consultation, and management experience in academia & industry including: Bell Laboratories, AT&T Shannon Labs – Research, University of California at Berkeley, University of Texas at Austin, Sharif University of Technology, University of Tehran, New York University, and Stevens Institute of Technology.
He has served as Distinguished Member of Technical Staff (DMTS) at Bell Labs as well as AT&T Shannon Labs -Research; Assistant Chief Scientist of AT&T Labs; Founder and Executive Director of the AT&T Labs university collaborations program. He is an Industry Professor at Howe School of Technology Management and department of Computer Science, Co-Founder of the Business Intelligence & Analytics MS program at Stevens Institute of Technology. He is an expert in Big Data Analytics, Internet of Things (IoT)/Sensor & RFID Data Streams, Data Mining Algorithms, Machine Learning, Probability & Stochastic Processes, and Statistics.
He has been active with IEEE Journals editorships & publications including Guest Editor as well as IEEE conferences: Guest Editor of several IEEE journals; Chair of Steering Committee of New IEEE Internet of Things Journal; keynote speaker of many IEEE conferences; Executive Committee of Globecom as well as ICC; Chair of Steering Committee of IEEE ISCC; and General Chair and Technical Chair of many IEEE conferences.