Dr. Al-Kofahi brings 15 years of experience in developing Artificial Intelligence (AI) and computer vision solutions for a variety of healthcare and industrial applications. He received his Ph.D in Computer Systems Engineering from Rensselaer Polytechnic Institute in 2009. During his PhD and industrial work prior to GE, he developed algorithms to analyze 2-D and 3-D biomedical images and integrated them into products used by clinical laboratory professionals and life scientists.
Ben Verschueren is currently Growth Leader for the Forge Lab at GE Research. In this role he is overseeing a number of mission-based teams exploring technologies at the “edge of feasibility,” including in the spaces of industrial-grade 5G, wearables for occupational safety and situational awareness, Augmented and Virtual Reality for healthcare and services, Quantum Computing, and robotics.
Predictive Maintenance technologies aim to detect, diagnose, and predict failures and degradation in machine components prior to criticality. The ultimate goal is to prevent downtime, identify root causes for follow-up action, and enable efficient evidence-based maintenance planning and optimization.
A Digital Twin is a digital model of an industrial asset—like a jet engine or a wind turbine. They are built by continuously collecting data off physical and virtual sensors on the asset and analyzing the data to gain unique insights about performance and operation that drive business value and outcomes.
Kicked off in 2019, the 5G Mission in Forge is focused on connecting the promise of 5G to industrial use cases. Together with our partners in the telecom industry, we have established one of the nation’s first cross-industry 5G testbeds to carry out this pioneering work.