Prof. Benjamin W. Wah
The Chinese University of Hong Kong, China
ACM Fellow, IEEE
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.
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Prof. Jianli Jiao
South China Normal University, China
Dr. JIAO Jianli is
Professor of Educational Technology and Director of
the Future Education Research Center (FERC) at the
School of Information Technology in Education
(SITE), South China Normal University (SCNU),
Guangzhou, China. Dr. Jiao is a pioneer in teaching
and learning with educational technologies in
mainland China. He has taught a variety of
undergraduate and graduate courses in educational
technologies, instructional system design, and
Social Networking System in Education, and
facilitated professional development programs for
in-service teachers and faculty. Dr. Jiao’s research
interests span educational technology, blended and
online learning, technology-enhanced learning in
K12, higher education, and technology-enhanced
teachers’ professional education, as well as
minimalism Educational Technologies.
Dr. Jiao has published extensively on digital
teaching, learning and assessment in K-12 schools
and higher and professional education. His current
work focuses on Technology-enhanced teachers’
professional development, digital and social
learning, Massive Open Online Courses, Online,
Flipped Learning and Blended Learning as well as
Teaching and Learning in 1:1 Settings. He is one of
the most highly cited scholars in Mainland China in
the field of education, especially in the field of
educational technology. He listed as one of top 50
researchers (ranked No.20) by the National Knowledge
Infrastructure (CNKI) according to publication
citation and reference index database of CNKI. He
has extensive experience in working with in-service
K-12 teachers in formal and informal learning
Dr. Jiao also has instructional design experience
within corporate and higher education settings.
Prof. Zehui Zhan
South China Normal University, China
Zehui Zhan, Ph.D.,
Professor, Doctoral Supervisor in South China Normal
University, Youth Pearl River Scholar, Hong Kong
Scholar, PI of the Smart Educational Equipment
Industry-University-Research Cooperation Base, 2013
Young Excellent Teacher in universities in Guangdong
Province, 2020 Highly Cited Chinese Researcher
(Education). Her Doctoral dissertation has been
nominated as the national 100 excellent doctoral
dissertations in China in 2012. She has got the
annual award of youth excellent universities teacher
from Fok Yingdong Education Foundation and Ministry
of Education, the title of best teachers achieving
highest teaching quality in SCNU, and the first
prize of national educational software competition.
Her research interest includes Learning Science,
STEAM education, Smart education, and