Yi-Kai Juan

2010.11.20 - By Office

National Taiwan University of Science and Technology, Department of Architecture,


  • Ph.D at National Taiwan University of Science and Technology
  • Visiting Scholar at Stanford University
  • Post-doctoral research fellow at Georgia Institute of Technology

Research field

  • Data Science and Decision Science in Architecture
  • Marketing Research in A/E/C Industries
  • Design Thinking and Cross-domain Design
  • IT in A/E/C Industries


  • Special Topics on Building Management
  • Architectural Game Design
  • Research Methods in A/E/C Industries
  • Competitive Strategy for Construction Industry
  • Construction Management


  1. Juan Y.K., Hsu Y.H., and Xie X.Y. (2017). Identifying customer behavioral factors and price premiums of green building purchasing. Industrial Marketing Management, 64, 36-43. (SSCI)
  2. Juan Y.K., Hsing N.P. (2017). BIM-based approach to simulate building adaptive performance and life cycle costs for an open building design. Applied Sciences, 7(8), 837. (SCI)
  3. Juan Y.K., Lai W.Y., Shih S.G. (2017). Building Information Modeling Acceptance and Readiness Assessment in Taiwanese Architectural Firms. Journal of Civil Engineering and Management, 23(3), 356-367. (SCI)
  4. Chen C.J., Juan Y.K., Hsu Y.H. (2017). Developing a systematic approach to evaluate and predict building service life. Journal of Civil Engineering and Management, 23(7), 890-901. (SCI)
  5. Juan Y.K., Chen Y., Lin J.M. (2016). Greywater Reuse System Design and Economic Analysis for Residential Buildings in Taiwan. Water, 8(11), 546. (SCI)
  6. Juan Y.K., Cheng Y.C., Perng Y.H., Castro D. (2016). Optimal Decision Model for Sustainable Hospital Building Renovation—A Case Study of a Vacant School Building Converting into a Community Public Hospital. Accepted by International Journal of Environmental Research and Public Health. (SCI)
  7. Hsu Y.H., Juan Y.K. (2016). ANN-based decision model for the reuse of vacant buildings in urban areas. International Journal of Strategic Property Management, 20(1), 31-43. (SSCI)
  8. Juan Y.K., Chao T.W. (2015) Game-based learning for green building education. Sustainability, 7 (5), 5592-5608. (SCI, SSCI)
  9. Kim J.H., Juan Y.K. (2014). Artificial Neural Network based decision model for alternative workplaces. Journal of Asian Architecture and Building Engineering, 13(1), 85-91. (SCI)
  10. Juan Y.K., Wang L., Wang, J., Leckie J. (2011). A decision-support system for smarter city planning and management. IBM Journal of Research and Development, 55(1&2), 3:1-3:12. (SCI)
  11. Wang L., Juan Y.K., Wang J., Li K.M., Ong C. (2012). Fuzzy-QFD approach based decision support model for licensor selection. Expert Systems with Applications, 39(1), 1484-1491. (SCI)
  12. Juan Y.K., Roper K.O., Castro D. (2010). Decision support approach based on multiple objectives and resources for assessing the relocation plan of dangerous hillside aggregations. European Journal of Operational Research, 202(1), 265-272. (SCI)
  13. Juan Y.K., Chien S.F, Li Y.J. (2010). Customer-focused system for pre-sale housing customization using case-based reasoning and Feng-Shui theory. Indoor and Built Environment, 19(4), 453-464. (SCI).
  14. Juan Y.K., Kim J.H., Roper K.O., Castro D. (2010). Optimal decision making on urban renewal projects. Management Decision, 48(2), 207-224. (SSCI)
  15. Juan Y.K., Peng G., Wang J. (2010). A hybrid decision support system for sustainable office building renovation and energy performance improvement. Energy and Buildings, 42(3), 290-297. (SCI)
  16. Juan Y.K. (2009). A hybrid approach using data envelopment analysis and case-based reasoning for housing refurbishment contractors selection and performance improvement. Expert Systems with Applications, 36(3), 5702-5710. (SCI)
  17. Juan Y.K., Kim J.H., Roper K.O., Castro D. (2009). GA‐based decision support system for housing condition assessment and refurbishment strategies. Automation in Construction, 18(4), 394-401. (SCI)
  18. Juan Y.K., Perng Y.H., Castro D., Lu K.S. (2009). Housing refurbishment contractors selection based on a hybrid fuzzy-QFD approach. Automation in Construction, 18(2), 139-144. (SCI)


Research Room:RB-704


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