Sugam Sharma

Sugam Sharma obtained his PhD in Computer Science from Iowa State University, USA in 2013. Presently, he is working in Center for Survey Statistics and Methodology, Iowa State University. His research interests include Big Data, Cloud Computing, Multidimensional Databases, GIS, Sensor Network, Smart Home, and Food Informatics. He has published several research papers in high impact factor venues and also serves as an editor for numerous prestigious journals. Previously, he also has worked as a software consultant at NAVTEQ Traffic Inc., and System Analyst at Ames National Laboratory, USA. Dr. Sharma also holds MS in Computer Science from Jackson State University, USA and BE in Computer Science from Roorkee, India. Lately, Dr. Sharma’s published work on hunger got international media attention and he was interviewed by several new and media outlets. KCCI Des Moines also aired his short interview on March 13, 2018 in 9:00 PM segment.

Publications

Smart Farming Technologies for Sustainable Agricultural Development
Smart Farming Technologies for Sustainable Agricultural Development
Ramesh C. Poonia, Xiao-Zhi Gao, Linesh Raja, Sugam Sharma, Sonali Vyas. © 2019. 308 pages.
In order to meet food needs, farmers need to integrate the latest technologies enabling them to make more informed decisions. Smart Farming Technologies for Sustainable...
Concept of Association Rule of Data Mining Assists Mitigating the Increasing Obesity
Concept of Association Rule of Data Mining Assists Mitigating the Increasing Obesity
Sugam Sharma. © 2019. 19 pages.
Association rule of data mining is known to encompass a wide set of intelligent techniques that intent to unveil and analyze correlations and associations between items in a set....
Concept of Association Rule of Data Mining Assists Mitigating the Increasing Obesity
Concept of Association Rule of Data Mining Assists Mitigating the Increasing Obesity
Sugam Sharma. © 2017. 18 pages.
Association rule of data mining is known to encompass a wide set of intelligent techniques that intent to unveil and analyze correlations and associations between items in a set....
International Journal of Big Data and Analytics in Healthcare (IJBDAH)
International Journal of Big Data and Analytics in Healthcare (IJBDAH)
Mu-Yen Chen. Est. 2016.
The International Journal of Big Data and Analytics in Healthcare (IJBDAH) publishes high-quality, scholarly research papers, position papers, and case studies covering: hardware...