Bellingham Symposium on Modeling and Data Analytics 2022
Sponsored by the Center of Operations Research and Management Sciences at Western Washington University
The Second Bellingham Symposium on Modeling and Data Analytics (BSOMADA) sponsored by the Center for Operations Research and Management Science (CORMS) at WWU will be held from July 27 to 28, 2022. The symposium will cover recent developments in quantitative modeling and data analytics. Due to the COVID-19 pandemic, this year's symposium is virtual (via ZOOM). The symposium will feature keynote speeches and invited talks by researchers in the areas of quantitative modeling and data analytics.
Ilhyung Kim is a Professor in the Department of Decision Sciences at Western Washington University. He holds a PhD in Operations and Technology Management from the Anderson Graduate School of Management at the University of California, Los Angeles (UCLA). His current research interests include supply chain coordination, manufacturing and service systems design, and statistical learning. He teaches business statistics and predictive analytics.
Jiexun Li is an Associate Professor in the Department of Decision Sciences, College of Business & Economics, at Western Washington University. He earned his Ph.D. in MIS from the Eller College of Management at the University of Arizona, M.S and B.S in MIS at Tsinghua University in China. His research interests include data mining, business analytics, social media analytics, and health informatics. His research has appeared in journals including JMIS, DSS, IEEE Transactions, JASIST, JAIS, Bioinformatics, CACM, ESA, ISF, and so on.
Xiaofeng Chen is an associate professor of MIS in the Department of Decision Sciences of the College of Business and Economics at Western Washington University. He received his Ph.D. in MIS from the University of Nebraska-Lincoln (UNL). He joined the College of Business and Economics at Western Washington University in 2014. He teaches courses in business database development, business intelligence and analytics, and business application development. His research interests include IS security, IT business value, business intelligence/analytics, design science research, and e-service development. He has publications in I&M, JDM, JCIS, JOEUC, and others. He has over 16 years of professional experience in information systems development.
Mark C. Springer is a Professor in the area of operations management in the Department of Decision Sciences at Western Washington University (WWU). He joined the College of Business and Economics at Western Washington University (WWU) in 1987. He teaches courses on enterprise research planning systems, quality management, and management science. In addition to his teaching at Western, he has developed supply chain management curriculum for use by member schools of the SAP University Alliance.
Professor Springer's current research interests include learning theory, supply chain volatility, e-service quality, and enterprise systems education. His work has been published in the Journal of Operations Management, the European Journal of Operational Research, Computers and Industrial Engineering, the International Journal of Production Economics, and other outlets. He has also been involved with several recent studies analyzing alternative methods for processing commercial traffic through the U.S.-Canadian border.