Working on 3- year, $4.1 million project from the U.S. Department of Energy to develop automated cyber protection solution for commercial building energy management systems

Putting optimal back on the table for real applications using Quantum as an accelerator

Matthew Seidel graduated from Clarkson University with a B.S. in Electrical Engineer and Physics. After graduating, Matthew has gained over 5 years of embedded system design experience in both the commercial and defense sectors. His areas of specialization are in FPGA design, high speed digital board design, and embedded programming.

Currently, Matthew is helping in the areas of hardware cyber security, machine learning, and high speed image acquisition. 

Keeping workers safe through analytics derived from sensor data fusion & aggregation and delivered through pervasive connectivity & real-time visualization

GE researchers awarded DARPA project to develop new VERDICT tool for assessing and strengthening cyber protections for military and other industrial systems

As a Senior Principal Scientist within GE, John leads the development of novel equipment and consumables that can be used by the life science and diagnostic communities.

• Awarded four-year, $14.3 million project through the Defense Advanced Research Projects Agency’s (DARPA) Atmospheric Water Extraction (AWE) program
• Device would provide troops in the battlefield with ready source of potable water, while significantly reducing the cost and logistics of transporting water

Dr. Scott C. Evans is a Principal Scientist Machine Learning at GE Research in Niskayuna, NY.  Scott's current research interest are in combining Machine Learning and Causal Inference to create causal models capable of influencing outcomes.  Scott Joined GE in 1997 at GE Industrial Systems and moved to GE Research in 1998.  Before joining GE, Scott served as a nuclear-trained Submarine Officer in the United States Navy. 

From big data to Artificial Intelligent (AI)
"Big data is the mine of gold, and AI is the modern mining machinery." Guang describes himself as a gold miner piloting the modern machines. When viewing his research projects, Guang thinks that some are fun, some are meaningful, and some are interruptive. He thinks that at this emergent stage of AI, a good researcher needs to be creative, bold, and brave. There is a saying that Guang likes the most: Go Big or Go Home. 

Xin Li is a research scientist in the Radiation Imaging lab. Xin's work aims at pushing the limits of industrial inspection and metrology using X-ray and CT. The work is important to products and services in aviation, power, oil & gas, and advanced manufacturing.

Xin holds degrees in Engineering Physics and Electrical and Computer Engineering and has broad research experiences in imaging system design and optimization, image quality evaluation, image quality improvement, and image analysis.