Suxia Cui is an associate professor in the Department of Electrical and Computer Engineering at Prairie View A&M University (PVAMU). She joined PVAMU right after she obtained her Ph.D. degree in Computer Engineering from Mississippi State University in 2003. Her research interests include image and video processing, data compression, wavelets, computer vision, remote sensing, and computing education. Her projects are currently funded by NSF, United States Department of Agriculture, and Department of Education.
Dr. Yonghui Wang received his B.S. in Optoelectronics from Xidian University in 1993, his M.S. in electrical engineering from Beijing Polytechnic University in 1999; and his Ph.D. in computer engineering from Mississippi State University in 2003. From 1993 to 1996, he was a Research Engineer with the 41st Electrical Research Institute in Bengbu, China. From July 1999 to December 1999, he worked as an IT Specialist in IBM China, Beijing, China. From 2000 to 2003, he was a research assistant with the Visualization, Analysis, and Imaging Laboratory (VAIL), the GeoResources Institute (GRI), Mississippi State University. He is currently an Associate Professor with the Department of Engineering Technology, Prairie View A&M University. His research interests include digital signal processing, image and video coding, and wavelets.
Lin Li is an associate professor of the Computer Science Department at Prairie View A&M University. He received his Ph.D. in computer science from the University of Nebraska at Lincoln in 2004. Before that, he received his B.S. and M.E. from Beijing Institute of Technology and Chinese Academy of Sciences in 1996 and 1999, respectively. His research interests are in Computer Networks, Machine Learning, and Computer Science Education.
Associate Professor, Department of Mechanical Engineering, Prairie View A&M University
Bugrahan Yalvac is an associate professor of science and engineering education in the Department of Teaching, Learning, and Culture at Texas A&M University, College Station. He received his Ph.D. in science education at the Pennsylvania State University in 2005. Prior to his current position, he worked as a learning scientist for the VaNTH Engineering Research Center at Northwestern University for three years. Yalvac’s research is in STEM education, 21st century skills, and design and evaluation of learning environments informed by the How People Learn framework.
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