b'TALENT PIPELINE: PRESENTATIONS:Benjamin Mahoney, student B. Jacobson, D. Conger, B. Petersen, M. Anderson and M. Sgambati, Machine at Brigham Young University, Idaho Learning Models for Network Traffic Classification in Programmable Logic, 2022 Brendan Jacobson, student at Brigham YoungIEEE International Symposium on Technologies for Homeland Security (HST), University, Idaho, converted to staff2022, pp. 1-7.Brian Allen, student C. Coldwell et al., Machine Learning 5G Attack Detection in Programmable Logic, at Brigham Young University, Idaho 2022 IEEE Globecom Workshops, 2022, pp. 1365-1370.Brighton Roskelly, studentat Brigham Young University, Idaho INTELLECTUAL PROPERTY:Bryton Petersen, student at Brigham YoungAnderson, M.W., Biggs, B.S., Sgambati, M.R., Staples, K.S., Wadsworth, J.C., University, Idaho, converted to staff Variational Autoencoder for network anomaly detection, patent application Cooper Coldwell, student 17/663,883 (filed 5/18/2022).at University of Alabama Anderson, M.W., Conger, D.S., Jacobson, B.G., Spencer, D.R., Goodell, E.J., Petersen, Damon Spencer, student at University of Houston B.J., Coldwell, C.W., Sgambati, M.R., The 5G Attack Detection Dataset, https://Denver Conger, student github.com/IdahoLabResearch/5GAD.at Brigham Young University, IdahoEdward Goodell, graduate studentat University of UtahKeaton Roberts, student at Idaho State University119'