Article Out Loud – Opportunities for Artificial Intelligence in Emergency Management

Alex Hagen is a data scientist who works broadly across detection and material interdiction spaces to improve analysis using modern machine-learning methods. After a half decade designing neutron detectors and active interrogation techniques and subsequently analyzing data from such experiments, he knows how to combine field implementation with advanced analytical techniques. His research has been published across many nuclear engineering and physics journals, including Journal of Physics, Nuclear Instruments and Methods, and the Transactions of Nuclear Science. His conference presentations have taken him across the world, including to the International Conference of Nuclear Engineering in Prague and the Advanced Computing and Analysis Techniques Conference in Saas-Fe, Switzerland. He has contributed to several high-energy physics collaborations, including Belle2, and PICO. He holds a PhD, MS, and BS in nuclear engineering from Purdue University.

Jonathan Barr is a senior systems engineer with Pacific Northwest National Laboratory’s Threat Prevention and Resilience Group. Barr works extensively with stakeholders across the national security and first response communities to understand their operational needs and develop research roadmaps to develop and implement the advanced technologies to meet those needs. He has applied his experience in developing human-centric artificial intelligence concepts and technologies to support the Institute of Electrical and Electronics Engineers in their work to develop ethical AI standards and certifications. Barr is an INCOSE-certified systems engineering professional with an MS in mechanical engineering and materials science from Washington University in St. Louis, graduate certification in medical sciences from the University of Washington, and a BS in mechanical engineering from Kansas State University.