Prof. Benjamin W. Wah
The Chinese University of Hong Kong, China
ACM Fellow, IEEE Fellow

Benjamin W. Wah is the Franklin W. Woeltge Endowed Professor of Electrical and Computer Engineering and a Professor of the Coordinated Science Laboratory of the University of Illinois at Urbana-Champaign, Urbana, IL. He received his B.S. and M.S. degrees in electrical engineering from Columbia University in 1974 and 1975, respectively, and his M.S. and Ph.D. degrees in computer science from the University of California, Berkeley, CA, in 1975 and 1979, respectively. Previously, he had served on the faculty of Purdue University (1979-85), as a Program Director at the National Science Foundation (1988-89), as Fujitsu Visiting Chair Professor of Intelligence Engineering, University of Tokyo (1992), and as McKay Visiting Professor of Electrical Engineering and Computer Science, University of California, Berkeley (1994). Wah is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE), the Association for Computing Machinery (ACM), and the American Association for the Advancement of Science (AAAS). In 1989, he was awarded a University Scholar of the University of Illinois; in 1998, he received the IEEE Computer Society Technical Achievement Award; in 2000, the IEEE Millennium Medal; and in 2003, the Raymond T. Yeh Lifetime Achievement Award from the Society for Design and Process Science. He has published over 250 papers, two authored books, and three edited books. As an individual researcher, Wah has made fundamental contributions to nonlinear optimization. He has developed the mathematical foundation and the algorithms for solving large-scale discrete, continuous, and mixed constrained optimization problems whose functions are not necessarily in closed form. These problems exist in many engineering fields, including production planning, scheduling, system design, artificial intelligence, control systems, semiconductor manufacturing, and operations research. Based on a key observation that the constraints in many of these application problems are highly structured and involve variables with strong spatial or temporal locality, he has developed the mathematical foundation for partitioning large-scale application problems by their constraints into a small number of much simpler subproblems. Because each subproblem has only a fraction of the original constraints, it is a significant relaxation of the original problem and has an exponentially lower complexity. As a result, his approach can efficiently solve many problems that are intractable to existing solvers. His research provides the key technology for reducing the complexity of large-scale problems in spacecraft and satellite planning. Its success has been demonstrated in SGPlan, a planner that won the First Place Award in the 4th International Planning Competition in 2004. It has also been shown in CPOpt, a nonlinear programming solver that can solve many large-scale continuous and mixed integer optimization problems that cannot be solved by some of the best solvers today. As a volunteer leader, Wah has made numerous contributions in promoting the computing profession. During his service as the IEEE Computer Society President in 2001, he was instrumental in launching many initiatives. One of his many accomplishments was to provide continuing education for computer professionals worldwide. Under his leadership, the IEEE Computer Society launched a distance learning program that offers hundreds of free online courses for its members. He was the Editor-in-Chief of the IEEE Transactions on Knowledge and Data Engineering between 1993 and 1996. He had chaired a number of international conferences and was the International Program Committee Chair of the IFIP World Congress in 2000. He currently serves as the Society’s representative to the Computing Research Association.

 

Prof. Kuan-Chou Chen
Purdue University Northwest, USA

Kuan-Chou Chen is the Associate Dean for Graduate Program and Research, Thomas M. McDermott Sr. Endowed Chair, Professor in Economic Development, Professor of Management Information Systems. He was the Department Head of Information Systems, Finance, and Business Analytics (2005-2016), as well as Interim Department Head of Department of Graduate Studies in Education (2013-2014) at Purdue University Northwest. He received his Ph.D. from Michigan State University and his MBA from National Cheng-Kung University in Taiwan. He specialized in computer programming, system simulation, project management, decision support systems, data mining, system analysis and design, e-business strategy and application, supply chain management, network design and security, knowledge management, and information economy. Professor Chen has more than 90 scholarly publications, most in peer-reviewed journals. He is an active participant in several professional journals and serves on three paper reviewer boards. Currently he is an Editor-in-Chief of International Journal of e-Education, e-Business, e-Management and e-Learning. His productivity and scholarship have been recognized by his colleagues, being nominated three years in a row for an “Outstanding Scholar Award.” He also the recipient of Teacher of the Year Award (Purdue University Northwest, 2005).

Topic: COVID 19 impact on Higher Education System: A Post-pandemic Trends Analysis

Abstract: The COVID-19 pandemic has forced higher education institutions to shift from on campus, face-to-face sessions to online, distance learning in higher education institutions. The education system which is completely shut and to proceed with the academic curriculum, there is a shift from the regular learning process to electronic learning. This most significant change has been to instruction and learning, with the vast majority of students and faculty in online classes. These changes raise a question: What will be occurred for higher education's post-pandemic future? The purpose of this presentation is to investigate the trends of post-pandemic learners and instructors about the transition to distance learning, including the changes to the learning and teaching and its efficaciousness.

 

 

Prof. Mido Chang
Florida International University, USA

Dr. Mido Chang's research deals with statistical issues of Hierarchical Linear Models, Survival Analysis, Structural Equation Models, and Longitudinal Growth Models. She also applies the statistical models to a wide range of issues associated with the provision of equitable access to educational resources for all students, including linguistic and racial minority students. Her research findings support efforts to improve educational practice and policies for school programs, teacher instructional practices, and parent involvement. Dr. Chang's research projects have been funded from the Discovery Research K-12 Program of the National Science Foundation (NSF) and from the U.S. Department of Health and Human Services. She has served on review panels for national and international funding agencies and professional journals.