Summary
Xin Wang is an Assistant Professor in Civil and Environmental Engineering at Texas A&M University with 11 years of experience at the intersection of civil engineering and computer science. Trained with a Ph.D. in Civil Engineering and a Master's in Computer Science from UW–Madison, Xin applies computer vision and machine learning to real-world problems in construction automation, human-robot interaction, and building energy efficiency. Before joining academia, Xin conducted postdoctoral research at NREL on industrialized construction innovation, blending laboratory-scale AI with field-focused implementation. Comfortable teaching and mentoring as well as leading cross-disciplinary research, Xin brings a rare combination of hands-on robotics insight and rigorous data-driven methods to improve safety and productivity on construction sites. An international scholar with experience at Tongji University and KAIST, Xin often bridges diverse engineering traditions to deliver practical, deployable AI solutions.
11 years of coding experience
2 years of employment as a software developer
Ph.D. Civil and Environmental Engineering, Ph.D. Civil and Environmental Engineering at University of Wisconsin-Madison
M.Eng. and B.Eng. Civil Engineering, M.Eng. and B.Eng. Civil Engineering at Tongji University
Exchange student Civil Engineering, Exchange student Civil Engineering at Korea Advanced Institute of Science and Technology
English, Chinese