There are too many people that I wish to thank, but it’s impossible to list you all. If you are one who had provided any form of help on my journey, I thank you!

You have reached Albert Y. Chen’s webpage. Chen is an Associate Professor in the Department of Civil Engineering at National Taiwan University (NTU). Before joining NTU, Chen worked as a research assistant under the National Science Foundation Award No. 0427089 – the CP2R project (Collaboration Framework to Prepare for, Respond to, and Recover from, extreme events involving critical physical infrastructures) that fully supported his Ph.D. studies at the University of Illinois at Urbana-Champaign (UIUC). His research topic and interest have been focused on Civil Infrastructure Systems and Computer-Aided Engineering through approaches such as Operations Research, Geospatial Analysis, Artificial Intelligence, Machine Learning, and Graph Networks for disaster and emergency response. Chen received his Bachelor’s Degree from NTU in Civil Engineering, Master of Science Degree from the University of California, Los Angeles in Civil and Environmental Engineering (CEE), Master of Computer Science Degree from UIUC, and his Ph.D. in CEE from UIUC. Chen had also worked as a Teaching Assistant in the Department of Computer Science at UIUC, participated in full size disaster exercises in Illinois and disaster capacity evaluation and analysis of the Dominican Republic, co-hosted educational sessions at the Illinois Fire Service Institute (IFSI) for the Girls Adventure in Mathematics, Engineering and Science summer (G.A.M.E.S.) camp at UIUC, and worked at Turner Construction as a Building Information Modeling (BIM)/Management Engineer at the World Trade Center (WTC) Transportation Hub Project in NYC. Chen is interested in improving the dynamics of systems in disaster response to facilitate lifesaving operations related to Civil Infrastructure Systems. His research at NTU is now focused on intelligent and smart transportation through computational methodologies such as mathematical programming and combinatorial optimization, image processing and computer vision, and machine learning and pattern recognition.