has a Ph.D. in electrical engineering with specialization in digital signal processing. He conducts research in digital signal processing, neural networks, and teaching and learning in higher education. Some recent applications include compression, modeling, and prediction in economics and finance, as well as speech recognition, globalization, entrepreneurship and innovation, and computing and engineering education with emphasis teams, teamwork, collaborative and team-based learning, and cooperative education.