| A BIM-based automated site layout planning framework for congested construction sites SS Kumar, JCP Cheng Automation in Construction 59, 24-37, 2015 | 236 | 2015 |
| Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks SS Kumar, DM Abraham, MR Jahanshahi, T Iseley, J Starr Automation in Construction 91, 273-283, 2018 | 230 | 2018 |
| Deep learning–based automated detection of sewer defects in CCTV videos SS Kumar, M Wang, DM Abraham, MR Jahanshahi, T Iseley, JCP Cheng Journal of Computing in Civil Engineering 34 (1), 04019047, 2020 | 119 | 2020 |
| Social BIMCloud: a distributed cloud-based BIM platform for object-based lifecycle information exchange M Das, JCP Cheng, SS Kumar Visualization in Engineering 3, 1-20, 2015 | 58 | 2015 |
| Azimuthal transverse single-spin asymmetries of inclusive jets and charged pions within jets from polarized-proton collisions at L Adamczyk, JR Adams, JK Adkins, G Agakishiev, MM Aggarwal, ... Physical review D 97 (3), 032004, 2018 | 49 | 2018 |
| Automated sewer pipe defect tracking in CCTV videos based on defect detection and metric learning M Wang, SS Kumar, JCP Cheng Automation in Construction 121, 103438, 2021 | 45 | 2021 |
| BIMCloud: a distributed cloud-based social BIM framework for project collaboration M Das, JCP Cheng, S Shiv Kumar Computing in Civil and Building Engineering (2014), 41-48, 2014 | 35 | 2014 |
| A BIM-based framework for material logistics planning JCP Cheng, S Kumar 23rd Annual Conference of the International Group for Lean Construction, 33-42, 2015 | 28 | 2015 |
| A BIM based construction site layout planning framework considering actual travel paths JCP Cheng, SS Kumar ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2014 | 28 | 2014 |
| A deep learning based automated structural defect detection system for sewer pipelines SS Kumar, DM Abraham ASCE International Conference on Computing in Civil Engineering 2019, 226-233, 2019 | 24 | 2019 |
| Comparison of technologies for condition assessment of small-diameter ductile iron water pipes SS Kumar, DM Abraham, SS Behbahani, JC Matthews, T Iseley Journal of Pipeline Systems Engineering and Practice 11 (4), 04020039, 2020 | 7 | 2020 |
| Massive 4D Abelian 2-form theory: Nilpotent symmetries from the (anti-) chiral superfield approach S Kumar, B Chauhan, A Tripathi, RP Malik International Journal of Modern Physics A 37 (02), 2250003, 2022 | 4 | 2022 |
| Leveraging visualization techniques to develop improved deep neural network architecture for sewer defect identification SS Kumar, D Abraham, M Rosenthal Construction Research Congress 2020, 827-835, 2020 | 4 | 2020 |
| A BIM-based framework for site layout optimization and material logistics planning on congested construction sites SS Kumar | 3 | 2015 |
| Leveraging Big Data and Deep Learning for Economical Condition Assessment of Wastewater Pipelines SS Kumar Purdue University, 2020 | 2 | 2020 |
| An evaluation of the failure modes and condition assessment technologies for small diameter ductile iron pipes SS Kumar, H Zamenian, DM Abraham, DT Iseley Construction Research Congress 2018, 678-687, 2018 | 2 | 2018 |
| Using Backing Cameras to Prevent Work Zone Accidents Involving Mobile Equipment C Ferreira, SS Kumar, DM Abraham Practice Periodical on Structural Design and Construction 22 (4), 2017 | 2 | 2017 |
| A hybrid framework for mining spatial characteristics of sewer defects from inspection databases SS Kumar, D Abraham, J Choi Urban Water Journal 19 (1), 51-61, 2022 | 1 | 2022 |
| Nilpotent (anti-) BRST and (anti-) co-BRST symmetries in 2D non-Abelian gauge theory: Some novel observations S Kumar, BK Kureel, RP Malik International Journal of Modern Physics A 36 (29), 2150212, 2021 | 1 | 2021 |
| Case Study on Productivity Increases in CCTV Inspection through an AI-Enabled Workflow ES Sullivan, SS Kumar Pipelines 2021, 144-150, 2021 | 1 | 2021 |
Jack C.P. ChengProfessor of Civil and Environmental Engineering, The Hong Kong University of Science and TechnologyVerified email at ust.hk
