Smart and Sustainable Construction (SSC) Research Group directed by Dr. Changbum R. Ahn focuses on data-driven techniques and smart-sensing technologies for transforming traditional project delivery processes into integrated sustainable practices, including construction workers’ unsafe behavior monitoring using inertial measurement units, occupancy sensing and eco-feedback based existing wireless network infrastructure, automated construction resource tracking, and life-cycle assessment of civil infrastructure systems.
July, 2016 Paper in 16th International Conference on Computing in Civil and Building Engineering presented by Dr. Kim on "A Near-Miss Fall Detection Technique for Ironworkers Using a Hybrid Machine Learning Approach". Congratulations!
July, 2016 Paper in 16th International Conference on Computing in Civil and Building Engineering presented by Dr. Kim on "Feasibility of Using Pedestrians’ Physical Stability to Detect Defects in a Sidewalk". Congratulations!
June, 2016 Journal paper by Hyunsoo Kim, Changbum R Ahn, and Kanghyeok Yang on "Identifying Safety Hazards Using Workers’ Collective Bodily Responses." accepted by Journal of Construction Engineering and Management, ASCE
May, 2016 Paper in ICSDEC 2016 presented by Hamed on "Linking Building Energy-Load Variations with Occupants’ Energy-Use Behaviors in Commercial Buildings: Non-Intrusive Occupant Load Monitoring (NIOLM)". Congratulations!
May, 2016 Hamed successfully completed his PhD comprehensive exam and became a PhD candidate. Congratulations!
May, 2016 Journal paper by Kanghyeok Yang, Changbum R Ahn, Mehmet C Vuran and Sepideh S Aria on "Semi-Supervised Near-Miss Fall Detection for Ironworkers with a Wearable Inertial Measurement Unit accepted by Automation in Construction, Elsevier.
April, 2016 Houtan, former MS student, received the Outstanding Master’s Thesis Award from the College of Engineering at the University of Nebraska-Lincoln. Congratulations!
January, 2016 Dr. Ahn's research project, Revealing Hidden Safety Hazards Using Workers' Collective Bodily and Behavioral Response Patterns, is chosen to be funded by National Science Foundation.