Dr. Levente Klein is a Research Staff Member in the Physical Sciences Department at the IBM T.J. Watson Research Center, Yorktown Heights, NY.
My research focuses on developing models and tools to analyze big data and integrate them in physics based models in the Internet of Thing framework. Applications of these research are ranging from cognitive end devices , development of wireless communication networks, and global environmental monitoring. Cognitive Internet of Thing devices that can dynamically sample and extract information at the sensing point. Implementing "intelligence at edge" can significantly reduce data transmission rate and enable analytics to be carried out on data streams.
I am organizing a Big Data Analytics and Internet of Thing workshop part of the IEEE Big Data conference on December 11, 2017. Please check out the topics of interest and call for papers:
I developed large scale sensor networks for automation and integration of satellite imagery in daily operation of vineyards. The basis of this work was variable rate irrigation management where Landsat data and weather data is combined to provide an irrigation advice 10 days in advance at 30 m spatial resolution. These irrigation forecast is directly integrated into an automatic control system that dispense water at 30 m by 30 m spatial resolution cross a drip irrigated vineyard.
An irrigation system prototype was developed in collaboration with EJ Gallo winery on a 10 acre area in Lodi, CA and run for the last 3 years. The results demonstrated 20 % increase in grape yield and 10% improvement in water use by plants. The work was awarded the 2015 Vintage Report Award for innovation in water use and adoption of technology in grape growing operations.
The work in precision agriculture was choosen as an IBM Outstanding Technical Achievemnt Award for 2016.
The variable rate irrigation work is continued in developing a big data geospatial platform that provide curated and spatially aligned data sets. The platform called Physical Analytics Integrated Repository and Services (PAIRS) can accelerate geospatial analytics by a factor of ten relying on curated data sets compared with cases when original and raw datasets are used. The PAIRS technology enable geo spatial analytics for data scientists without extensive geographical and cartography background.
In the past my work focused on developing wireless sensing technologies for data centers energy efficiency operation. Technology and analytics were developed to enable air side economizer in data centers that can reduce energy consumption by 10 % by using outside air when the environmental conditions are suitable for cooling. The air quality sensing solution based on sensing air corrosivity was integrated in IBM's high end servers as part of environmental monitoring and quality assurance. The air quality work was chosen as an IBM Outstanding Technical Achievement Award for 2015.
My doctoral work focused on developing measurement methods for high sensitivity electrical characterization of insulating surfaces. I worked in developing spin based quantum computing using single electron quantum dots fabricated in SiGe hetero-structures. Since joining IBM Research in 2006 he developed technologies to enable energy efficient cooling in data centers. Current research interests focus on geo spatial data processing, advanced analytics for precision agriculture, and distributed sensing data modeling and analytics.
I am a member of the American Physical Society (APS), American Vacuum Society (AVS) and the NY Academy of Sciences.