Nagender Kumar Suryadevara (Senior Member, IEEE) received his Ph.D. degree from the School of Engineering and Advanced Technology, Massey University, New Zealand, in 2014. He is an Associate Professor at the School of Computer and Information Sciences, University of Hyderabad, India. His research interests include Internet of Things, Time-Series Data Mining and Ambient Assisted Living. He has authored three books, edited two books and published over 50 papers in various international journals, conferences, and book chapters. He has delivered numerous presentations including keynote, tutorial and special lectures. He is passionate about how to develop great AI-based products under resource-constrained computing environments. Google Scholar citations: h-index: 20, i10-index: 34.
https://scholar.google.com/citations?user=S28OdGMAAAAJ&hl=en
Research Keywords & Expertise
Internet of Things
Wireless Sensor Networ...
Smart Sensing
Internet of Things (Io...
Ambient Assisted Livin...
Internet of thing
Internet of Things (Io...
Internet Of Things (IO...
Time series data minin...
Fingerprints
37%
Internet of Things
37%
Internet of Things (IoT) Technologies
37%
Internet of thing
37%
Internet of Things (IoT) in Mining
37%
Internet Of Things (IOT) and Artificial Intelligence (AI) application
23%
Wireless Sensor Networks
11%
Smart Sensing
11%
Ambient Assisted Living (AAL)
5%
Time series data mining
Short Biography
Nagender Kumar Suryadevara (Senior Member, IEEE) received his Ph.D. degree from the School of Engineering and Advanced Technology, Massey University, New Zealand, in 2014. He is an Associate Professor at the School of Computer and Information Sciences, University of Hyderabad, India. His research interests include Internet of Things, Time-Series Data Mining and Ambient Assisted Living. He has authored three books, edited two books and published over 50 papers in various international journals, conferences, and book chapters. He has delivered numerous presentations including keynote, tutorial and special lectures. He is passionate about how to develop great AI-based products under resource-constrained computing environments. Google Scholar citations: h-index: 20, i10-index: 34.
https://scholar.google.com/citations?user=S28OdGMAAAAJ&hl=en