Levente Klein


Levente Klein


Scientist, Geospatial Analytics


IBM Research - Yorktown Heights Yorktown Heights, NY USA


Dr. Levente Klein is a Research Staff Member in the Advanced Discovery department at the IBM T.J. Watson Research Center, Yorktown Heights, NY.  His research is focused on developing models and tools to analyze big data and AI models that can be used in commercial environments. Applications of these research are ranging from development of wireless communication networks, and global environmental monitoring. Current research focus on developing digital twins by integration of physics based constrains in Neural Network with a final goal to develop observing system to analyze the optimal sensor placements and parameters that needs to be measured for Green House Gas detection.

Nature based carbon sequestration is a secondary area of research to quantify the carbon stored in vegetation and enable a more transparent carbon trading markets to minimize amount of CO@ in atmosphere. The carbon sequestration work is a continuation of Vegetation Management solutions that is a commercial offerings from IBM.

Previous work encompass the development of a large scale sensor networks for automation and integration of satellite imagery in daily operation of vineyards working closely with Gallo wine for variable rate irrigation. Integration of vegetation signal from Landsat data and weather data was combined to provide an irrigation advice 10 days in advance at 30 m spatial resolution. Digitization of the irrigation system allowed to relate a single Landsat pixel to the corresponding irrigation zone in the vineyard. Analytics was developed to forecast the water requirement and 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 3 years. The results demonstrated 20 % increase in grape yield and 10% improvement in water use by grapes. The work was awarded the 2015 Vintage Report Award for innovation in water use and adoption of technology in grape growing operations.

The variable rate irrigation work triggered the development of a geospatial data platform that spatially and temporally aligns data. 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. The PAIRS technology was awarded an IBM Outstanding Technical Achievement Award in 2017.

In the past, his work focused on developing wireless sensing technologies for data centers energy efficiency operation. Sensor networks 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 corrosion was integrated in IBM's high end Z and P servers as part of environmental monitoring and quality assurance. The air quality work was awarded an IBM Outstanding Technical Achievement Award in 2015.

Levente is a member of the American Physical Society (APS), American Vacuum Society (AVS) and the NY Academy of Sciences.



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