Ai Group dedicates its effort towards establishing a comprehensive, spatially-enabled transportation infrastructure and asset data platform to better manage, support and sustain the current and future transportation infrastructure system, via employing imagery, mobile LiDAR, and GPS/GIS technologies, and developing computer vision, machine learning, and spatial analysis methods.
Ai Group will continuously look for talented undergraduate, graduate and postdoctoral researchers. Research assistantship and other sponsorship will be provided for qualified candidates. For undergraduate research assistantship, please check on the UMass Amherst Student Job Board, where openings in Ai Group will be posted periodically. For graduate research assistantship, please refer to the Graduate School Admission Office for general requirements, and email Dr. Chengbo Ai with your recent CV and names of your references. For postdoctoral researchers, please directly contact Dr. Chengbo Ai to further discuss your research interests and plan.
Recent Group News
- [2018-12-18] Welcome Yash to our group. Yash received his Bachelor degree from Electronics and Telecommunication Engineering at Pune Institute of Computer Technology and started pursuing his Master in Electrical and Computer Engineering at UMass.
- [2018-11-06] Paper on utility tunnel route optimization accepted in ICTD 2019. A paper titled “Utility Tunnel Route Optimization for New Development in Urbanized Areas” has been accepted by the International Conference on Transportation & Development 2019. A new underground infrastructure layout optimization method is developed in this paper for newly developed, urbanized regions.
- [2018-11-06] Paper on a national horizontal curve inventory accepted in ICTD 2019. A paper titled “Development of A Nationwide Horizontal Curve Inventory Using Open GIS Data” has been accepted by the International Conference on Transportation & Development 2019. More than 150,000 miles of the United States Numbered Highway system has been processed and validated by only using the publicly available GIS basemaps.
- [2018-09-04] Welcome Yuhao to our group. Yuhao received his Bachelor degree from Beijing Information Science and Technology University in Electrical Engineering and Automation in June 2018 and joined Ai’s Group in 2018 Fall to pursue his Master in Transportation Engineering.
- [2018-09-04] Welcome Qing to our group. Qing received his Master degree from Sun Yat-sen University in Intelligent Transportation Systems Engineering in June 2018 and joined Ai’s Group in 2018 Fall to pursue his Ph.D. in Transportation Engineering.
- [2018-07-28] Paper on underground rail track fastener identification accepted in JRRT. A paper titled “Robust Rail Track Fastener Identification Under Extremely Low Illumination” has been accepted by the Journal of Rail and Rapid Transit. Instead of developing a new algorithm for fastener detection, this paper developed an algorithm for illumination adjustment to improve the performance of any generic detection algorithm.
- [2018-06-16] Welcome RIEGL VMZ-2000 system to our group. In collaboration with Dr. Colin Gleason, we at UMass Amherst become one of the few institutions that have the capacity to conduct mobile LiDAR scan for both ground transportation and maritime applications.
- [2018-02-26] Paper on rail track crack identification accepted in CACAIE. A paper titled “A Non-Ballasted Rail Track Slab Crack Identification Method Using a Level Set Based Active Contour Model” is accepted in Computer-Aided Civil and Infrastructure Engineering (CACAIE). The paper is based on the collaborative studies among five universities in both the United States and China. Way to go, team!
- [2018-02-09] Paper on comprehensive curve data acquisition accepted in TRR. A paper titled “Identification of Site Characteristics for Proactive High-Friction Surface Treatment Site-Selection Using Sensor-Based, Detailed, Location-Referenced Curve Characteristics Data” is accepted in Transportation Research Record. I am glad that some of my previous work at Georgia Tech became part of the publication on this topic. Good job! James and Cibi!