Dr. Barry received his M.S. and Ph.D. from the University of Wisconsin, and J.D. from the American University. He is a tenured Associate Professor of Economics and Law at Mount St. Mary's University. He has been teaching business, economics and law courses for more than 20 years. Besides, Dr. Barry also held positions (economist, lawyer) with the United States Department of the Treasury, the United States Department of Commerce, the United States International Trade Commission, and the Russian Ministry of Finance.

Dr. Yang Wang obtained his Ph.D in Computer Science in 2012 from Georgia State University, and is currently an Associate Professor at LaSalle. He teaches a wide range of courses including programming, data structures, algorithms, database, security, and networking.

Dr. Warnock received his M.A. and Ph.D. in mathematics from the University of South Carolina. He is an Academic Professional in the School of Mathematics at the Georgia Institute of Technology. His research interests lie in the intersection of Number Theory and Modular Form Theory. In particular, he is interested in using modular forms to prove various families of congruences for variations of the partition function and other combinatorial functions.

Professor Buddemeyer completed her primary and post-secondary education in Rhode Island, earning a bachelor's degree in mathematics from Providence College in 2008. She attended the University of Vermont to pursue her graduate studies, earning her M.S. in Applied Mathematics in 2010. She began her teaching career in 2011, first working as an adjunct before joining Seminole State College as a full-time math professor in 2012. She is an active member in the college community, serving on various college-wide and departmental committees and advising a student club.

Dr. Yan Shi is currently an associate professor in the Department of Computer Science and Software Engineering at the University of Wisconsin-Platteville. She received her Ph.D. from The University of Texas at Dallas in 2011. Her research interests include software engineering, data engineering, machine learning, data mining and social networks.