Dr. Sal Morgera has focused on networks his entire professional life. He, and the teams he has directed, are responsible for the Canadian oceanographic data gathering networks, the acoustic networks for American submarine tactical and strategic communications, the worldwide CAT3 auto-landing networks for commercial aircraft, and the military wireless networks used in sensitive and challenging parts of the world. In the last decade, he has turned his attention to living networks, the neurological networks of the brain and has made two discoveries: the nerve fibers of the brain communicate, compete, and cooperate with one another, thereby forming a highly sophisticated spatial-temporal network enabled by reactive electric near-fields. The second discovery has to do with the exceptional material properties of the brain some of which mimic the properties of metamaterials, advanced materials that had not been believed to exist in nature. Understanding these extraordinary near-field networks and the bio-metamaterial human brain structure in which they operate will enable humankind to develop machines with Real Intelligence (RI), as opposed to Artificial Intelligence (AI). In 2018, he has been invited to give two Keynote Speeches at international conferences on the topic of brain structure and function. Dr. Sal Morgera is a Life Fellow of the Institution for Electrical and Electronics Engineers (IEEE); Fellow of the American Association for the Advancement of Science (AAAS); and, recently, Fellow of the Institution for Engineering and Technology (IET) for his many years in University Administration; development of a graduate Bioengineering Degree Program, which has become a model for the nation; and advances in our understanding of brain structure and function. Dr. Sal Morgera is Professor of Electrical Engineering at the University of South Florida, Emeritus Professor at Universities in Canada and the US, and Director of the Global Center for Neurological Networks. He received his Bachelor, Master, and Ph.D. degrees from Brown University, Providence, RI.
Fellow of the IEEE, AAAS, IET, SSBE, NAI