職位：
2025/2 ~  迄今  ：國立陽明交通大學 土木工程學系 副教授

2022/2 ~ 2025/1：國立陽明交通大學 土木工程學系 助理教授
2019/2 ~ 2022/1：明新科技大學 土木工程與環境資源資訊 助理教授
2016/8 ~ 2019/1：中鼎工程股份有限公司 營建與物流運輸部 工程師
2015/7 ~ 2016/7：榮工工程股份有限公司 專案管理部/技術工程部 工程師

 

學經歷：

國立臺灣科技大學 營建工程系 博士 Ph.D.
National Taiwan University of Science and Technology – Department of Construction Engineering 2015/6

河內土木工程大學 土木與工業營建系 學士 Bachelor
Hanoi University of Civil Engineering - Faculty of Civil and Industrial Construction  2010/7

政府相關計畫

1. Real-Time Railway Inspection with Artificial Deep Vision and Integrated with Precision Geolocation - 國科會 - 2025/8 ~ 2026/7
2. Real-Time Building Façade Inspection Using Advanced Artificial Vision Techniques with Drone Technology - 國科會 - 2024/8 ~ 2025/7
3. Using Different Hyperparameter Optimization Strategies to Enhance the Ability of the Extreme Gradient Boosting Ensemble to Predict Punching Shear Strength - 國科會 - 2023/8 ~ 2024/7
4. A Novel Hybridization Ensemble Machine Learning Web-based System for Predicting Mechanical Strengths in Reinforced Concrete Structures and Steel Structures - 國科會 - 2023/8 ~ 2024/7 (共同)
5. Detecting and Delineating Areas of Tile Peeling on Building Surfaces Using One-stage Deep Learning Detectors Integrated with Segmentation Techniques - 科技部 - 2022/8 ~ 2023/7
6. Automatic Recognition of Concrete Spall Using Image Processing and Metaheuristic Optimized Machine Learning Techniques - 科技部 - 2021/8 ~ 2022/7

 

非政府相關計畫

1. BIM建模, 整合與管理彰化專案 - 2022/12 ~ 2023/12 
2. BIM 鐵路地下化工程 - 2024/10 ~ 2026/10

PUBLICATIONS IN SCI JOURNALS

1. M.-T. Cao*, W.-C. Wang, and S.-L. Shen, "YOLO-BFID: Real-Time Building Facade Inspection by Using an Advanced Artificial Vision Model Integrated with Drone Technology," ASCE's Journal of Computing in Civil Engineering (Accepted, 2025/12).
2. M.-T. Cao*, W.-C. Wang, and M. Koean, "Lightweight railway defect detection model with attention-based feature fusion and GPS mapping," Automation in Construction, vol. 182, p. 106704, 2026/02/01/ 2026, doi: https://doi.org/10.1016/j.autcon.2025.106704.
3. W.-C. Wang, S.-C. Huang, H.-P. Wang, and M.-T. Cao*, "Measuring building information modeling user satisfaction by using active interpretable machine learning," Applied Soft Computing, vol. 183, p. 113663, 2025/11/01/ 2025, doi: https://doi.org/10.1016/j.asoc.2025.113663.
4. Y.-J. Cheng, M.-T. Cao, S.-H. Wang, N.-M. Nguyen, S.-S. Chen, and W.-C. Wang, "Integrating LINE BOT and Building Information Model to develop construction information management system," Journal of Civil Engineering and Management, vol. 31, no. 5, pp. 482–501, 06/27 2025, doi: https://doi.org/10.3846/jcem.2025.23764
5. N.-M. Nguyen and M.-T. Cao*, "Energy use intensity analysis of office buildings using green BIM-integrated Interpretable machine learning," Journal of Building Engineering, vol. 108, p. 112760, 2025/08/15/ 2025, doi: https://doi.org/10.1016/j.jobe.2025.112760.
6. M.-T. Cao*, C. Yen Chun, N.-D. Hoang, and T.-C. Huynh, "Integrating Transfer Learning and U-Net for Accurate Detection and Segmentation of Asphalt Pavement Bleeding," Transportation Research Record, vol. 2679, no. 11, pp. 558-575, 2025/11/01 2025, doi: https://doi.org/10.1177/03611981251348446.
7. N.-D. Hoang, P.-A.Pham, T.-C.Huynh, M.-T. Cao, and D.-T. Bui, "Geospatial urban heat mapping with interpretable machine learning and deep learning: a case study in Hue City, Vietnam," Earth Science Informatics, vol. 18, no. 64, 2024/12/17 2024, doi: https://doi.org/10.1007/s12145-024-01582-2.
8. T.-H. Nguyen, D.-H. Tran, N.-M. Nguyen, H.-T. Vuong, C. Chien-Cheng, and M.-T. Cao*, "Accurately predicting the mechanical behavior of deteriorated reinforced concrete components using natural intelligence-integrated Machine learners," Construction and Building Materials, vol. 408, p. 133753, 2023/12/08/ 2023, doi: https://doi.org/10.1016/j.conbuildmat.2023.133753.
9. M.-T. Cao*, "Drone-assisted segmentation of tile peeling on building façades using a deep learning model," Journal of Building Engineering, vol. 80, p. 108063, 2023/12/01/ 2023, doi: https://doi.org/10.1016/j.jobe.2023.108063.
10. M.-T. Cao*, "Advanced soft computing techniques for predicting punching shear strength," Journal of Building Engineering, vol. 79, p. 107800, 2023/11/15/ 2023, doi: https://doi.org/10.1016/j.jobe.2023.107800.
11. N.-M. Nguyen, W.-C. Wang, and M.-T. Cao*, "Early estimation of the long-term deflection of reinforced concrete beams using surrogate models," Construction and Building Materials, vol. 370, p. 130670, 2023/03/17/ 2023, doi: https://doi.org/10.1016/j.conbuildmat.2023.130670.
12. M.-Y. Cheng, M.-T. Cao*, and N.-M. Dao-Thi, "A novel artificial intelligence-aided system to mine historical high-performance concrete data for optimizing mixture design," Expert Systems with Applications, vol. 212, p. 118605, 2023/02/01/ 2023, doi: https://doi.org/10.1016/j.eswa.2022.118605.
13. H. Nguyen, M.-T. Cao, X.-L. Tran, T.-H. Tran, and N.-D. Hoang, "A novel whale optimization algorithm optimized XGBoost regression for estimating bearing capacity of concrete piles," Neural Computing and Applications, 2022/10/15 2022, doi: 10.1007/s00521-022-07896-w.
14. M.-T. Cao, N.-M. Nguyen, and W.-C. Wang, "Using an evolutionary heterogeneous ensemble of artificial neural network and multivariate adaptive regression splines to predict bearing capacity in axial piles," Engineering Structures, vol. 268, p. 114769, 2022/10/01/ 2022, doi: https://doi.org/10.1016/j.engstruct.2022.114769.
15. M.-Y. Cheng, M.-T. Cao*, and C. K. Nuralim, "Computer vision-based deep learning for supervising excavator operations and measuring real-time earthwork productivity," The Journal of Supercomputing, 2022/09/27 2022, doi: 10.1007/s11227-022-04803-x.
16. W.-C. Wang, N.-M. Nguyen, and M.-T. Cao*, "Smart ensemble machine learner with hyperparameter-free for predicting bond capacity of FRP-to-concrete interface: Multi-national data," Construction and Building Materials, vol. 345, p. 128158, 2022/08/22/ 2022, doi: https://doi.org/10.1016/j.conbuildmat.2022.128158.
17. M.-Y. Cheng, M.-T. Cao*, and I. F. Huang, "Hybrid artificial intelligence-based inference models for accurately predicting dam body displacements: A case study of the Fei Tsui dam," Structural Health Monitoring, vol. 21, no. 4, pp. 1738-1756, 2022/07/01 2021, doi: 10.1177/14759217211044116.
18. H. Nguyen, N.-M. Nguyen, M.-T. Cao, N.-D. Hoang, and X.-L. Tran, "Prediction of long-term deflections of reinforced-concrete members using a novel swarm optimized extreme gradient boosting machine," Engineering with Computers, vol. 38, no. 2, pp. 1255-1267, 2022/06/01 2022, doi: 10.1007/s00366-020-01260-z.
19. M.-T. Cao, K.-T. Chang, N.-M. Nguyen, V.-D. Tran, X.-L. Tran, and N.-D. Hoang, "Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach," Soft Computing, vol. 25, no. 20, pp. 12839-12855, 2021/10/01 2021, doi: 10.1007/s00500-021-06086-5.
20. M.-T. Cao, N.-M. Nguyen, K.-T. Chang, X.-L. Tran and N.-D. Hoang (2021). "Automatic recognition of concrete spall using image processing and metaheuristic optimized LogitBoost classification tree." Advances in Engineering Software 159: 103031.
21. M.-Y. Cheng, M.-T. Cao*, and A. Y. Jaya Mendrofa, "Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine," Journal of Building Engineering, vol. 35, p. 101973, 2021/03/01/ 2021, doi: https://doi.org/10.1016/j.jobe.2020.101973
22. M.-T. Cao, N.-D. Hoang, V. H. Nhu, and D. T. Bui, "An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength," Engineering with Computers, 2020/11/02 2020, doi: 10.1007/s00366-020-01116-6.
23. D. T. Vu, X.-L. Tran, M.-T. Cao, T. C. Tran, and N.-D. Hoang, "Machine learning based soil erosion susceptibility prediction using social spider algorithm optimized multivariate adaptive regression spline," Measurement, vol. 164, p. 108066, 2020/11/01/ 2020, doi: https://doi.org/10.1016/j.measurement.2020.108066.
24. M.-Y. Cheng, M.-T. Cao*, and P.-K. Tsai, "Predicting load on ground anchor using a metaheuristic optimized least squares support vector regression model: a Taiwan case study," Journal of Computational Design and Engineering, vol. 8, no. 1, pp. 268-282, 2020, doi: 10.1093/jcde/qwaa077.
25. M.-T. Cao, Q.-V. Tran, N.-M. Nguyen, and K.-T. Chang, "Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources," Advanced Engineering Informatics, vol. 46, p. 101182, 2020/10/01/ 2020, doi: https://doi.org/10.1016/j.aei.2020.101182.
26. M.-Y. Cheng, M.-T. Cao*, and J. G. Herianto, "Symbiotic organisms search-optimized deep learning technique for mapping construction cash flow considering complexity of project," Chaos, Solitons & Fractals, vol. 138, p. 109869, 2020/09/01/ 2020, doi: https://doi.org/10.1016/j.chaos.2020.109869.
27. M.-Y. Cheng, J.-S. Chou, and M.-T. Cao*, "Nature-inspired metaheuristic multivariate adaptive regression splines for predicting refrigeration system performance," Soft Computing, vol. 21, no. 2, pp. 477-489, 2017/01/01 2017, doi: 10.1007/s00500-015-1798-y.
28. M.-Y. Cheng and M.-T. Cao*, "Estimating strength of rubberized concrete using evolutionary multivariate adaptive regression splines," Journal of Civil Engineering and Management, vol. 22, no. 5, pp. 711-720, 2016/07/03 2016, doi: 10.3846/13923730.2014.897989.
29. D.-H. Tran, M.-Y. Cheng, and M.-T. Cao, "Solving Resource-Constrained Project Scheduling Problems Using Hybrid Artificial Bee Colony with Differential Evolution," Journal of Computing in Civil Engineering, vol. 30, no. 4, p. 04015065, 2016/07/01 2016, doi: 10.1061/(ASCE)CP.1943-5487.0000544.
30. M.-Y. Cheng, D.-H. Tran, and M.-T. Cao, "Chaotic initialized multiple objective differential evolution with adaptive mutation strategy (CA-MODE) for construction project time-cost-quality trade-off," Journal of Civil Engineering and Management, vol. 22, no. 2, pp. 210-223, 2016/02/17 2016, doi: 10.3846/13923730.2014.897972.
31. M.-Y. Cheng and M.-T. Cao*, "Hybrid intelligent inference model for enhancing prediction accuracy of scour depth around bridge piers," Structure and Infrastructure Engineering, vol. 11, no. 9, pp. 1178-1189, 2015/09/02 2015, doi: 10.1080/15732479.2014.939089.
32. M.-Y. Cheng, M.-T. Cao*, and Y.-W. Wu, "Predicting Equilibrium Scour Depth at Bridge Piers Using Evolutionary Radial Basis Function Neural Network," Journal of Computing in Civil Engineering, vol. 29, no. 5, p. 04014070, 2015/09/01 2015, doi: 10.1061/(ASCE)CP.1943-5487.0000380.
33. M.-T. Cao, M.-Y. Cheng, and Y.-W. Wu, "Hybrid Computational Model for Forecasting Taiwan Construction Cost Index," Journal of Construction Engineering and Management, vol. 141, no. 4, p. 04014089, 2015/04/01 2015, doi: 10.1061/(ASCE)CO.1943-7862.0000948.
34. D.-H. Tran, M.-Y. Cheng, and M.-T. Cao, "Hybrid multiple objective artificial bee colony with differential evolution for the time–cost–quality tradeoff problem," Knowledge-Based Systems, vol. 74, pp. 176-186, 2015/01/01/ 2015, doi: https://doi.org/10.1016/j.knosys.2014.11.018.
35. M.-Y. Cheng and M.-T. Cao*, "Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines," Applied Soft Computing, vol. 22, pp. 178-188, 2014/09/01/ 2014, doi: https://doi.org/10.1016/j.asoc.2014.05.015.
36. M.-Y. Cheng, M.-T. Cao*, and D.-H. Tran, "A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons," Automation in Construction, vol. 41, pp. 60-69, 2014/05/01/ 2014, doi: https://doi.org/10.1016/j.autcon.2014.02.008.
37. M.-Y. Cheng and M.-T. Cao*, "Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams," Engineering Applications of Artificial Intelligence, vol. 28, pp. 86-96, 2014/02/01/ 2014, doi: https://doi.org/10.1016/j.engappai.2013.11.001.

 

PUBLICATIONS IN INTERNATIONAL CONFERENCES

1. T.S. Ngo, C.H. Le, H.D. Tran, Minh-Tu Cao, Construction Demolition Waste Detection with Ghost-YOLOv10, The 29th Symposium Construction Engineering and Management, Kaosiung, Taiwan, July 10th 2025.
2. Minh-Tu Cao, N.N. Mai, W.C. Wang, Unveiling Building Façade Deterioration: A Drone-Powered Deep Learning Approach for Seamless Tile Peeling Detection, The 41st International Symposium on Automation and Robotics in Construction, Lille, France, June 3rd 2024.
3. Minh-Tu Cao, N.N. Mai, C.C. Chen, Smart Ensemble Hyperparameter-free Machine Learner for Predicting the Bond Capacity of an FRP-to-concrete Interface: Multinational Data, The 26th Symposium Construction Engineering and Management, Zhongli, Taiwan, July 22nd 2022.
4. Minh-Tu Cao, N.N. Mai, C.C. Chen, Predicting the Long-Term Deflection of Reinforced Concrete Beams Using Feature Refinement-Based Self-tuning Machine Learning Model, The 26th Symposium Construction Engineering and Management, Zhongli, Taiwan, July 22nd 2022.
5. Minh-Tu Cao, Nhat-Duc Hoang, Automatic Recognition of Concrete Spall Using Image Processing and Metaheuristic Optimized LogitBoost Classification Tree, The 24th Symposium Construction Engineering and Management, Taipei, Taiwan, August 05th 2020.
6. Minh-Tu Cao, K.T. Chang, Mohammad Adhan, Multiple Dashcam Image Resource-Trained Deep Learning Models for Enhancing Road Damage Detection, The 24th Symposium Construction Engineering and Management, Taipei, Taiwan, August 05th 2020.
7. K. T. Chang, Y. S. Chiang, M. T. Cao, C. T. Wang, Analyzing Pre- and Post-Earthquake Changes using Optical and SAR Satellite Images, CORECT-IJJSS 2019 International Conference on Sustainability Science and Management: Advanced Technology in Environmental Research, Bali, Indonesia, Nov. 14-15, 2019.
8. K. T. Chang, M. T. Cao, Estimating Seismic Retrofitting Cost of Taiwan School Buildings Using AI-Based Inference Models, ICEO-SI 2019, 4th Symposium, Taichung, Taiwan, June 23-26, 2019.
9. 朱詠恩、高明秀、王世旭、王維志, 營建業永續報告書GRI準則與財務績效之關聯性分析,  2024第28屆營建工程與管理學術研討會論文集，臺灣雲林(雲科) (Outstanding Paper Award)
10. 范如伶、高明秀、阮玉梅、王維志, 應用網路犯罪調查演算法於工程專案成本之最佳化, 2024第28屆營建工程與管理學術研討會論文集，臺灣雲林(雲科) (Outstanding Paper Award)
11. 黃柏睿、高明秀、阮玉梅、王維志, 使用結合網路犯罪調查演算法的異質集成模型和 DBSCAN 聚類演算法來預測房屋出售價格, 2024第28屆營建工程與管理學術研討會論文集，臺灣雲林(雲科)
12. 趙芫毅, 紀乃文, 翁紹偉, 陳世昕, 鄭裕仁, 高明秀, 王維志, 運用建築資訊模型(BIM)以輔助查核營建工程估驗計價, 2023第27屆營建工程與管理學術研討會論文集，臺灣新竹(陽明交大) (Outstanding Paper Award)
13. 陳泓志, 黃文穎, 蔡宗益, 高明秀, 王世旭, 王維志, 建築工程生命週期階段減碳策略之選擇與評估, 2023第27屆營建工程與管理學術研討會論文集，臺灣新竹(陽明交大)
14. 鄭皓中、王世旭、張智安、高明秀、王維志, 運用BIM與電腦視覺及物件偵測技術於工程進度追蹤, 2022第26屆營建工程與管理學術研討會論文集，臺灣中壢(中央) (Outstanding Paper Award)

Competition Awards

1. 第十八屆台灣管理學會論文大賞 2025：AI應用論文競賽 - 佳獎, Michael Koean
2. 財團法人中國土木水利工程學會 2024 學生 BIM 軟體應用競賽 - 第一名, 成員：黃律銘、鄭劭光、張宸翰、沈書立
3. 財團法人中國土木水利工程學會 2022 學生 BIM 軟體應用競賽 - 第二名, 成員：許佳恩、羅家淯、張宸翰、黃翊
4. 勞動部勞動力發展署 第54屆分區技能競賽 數位建設BIM - 第五名, 成員：張宸翰
5. 勞動部勞動力發展署 第54屆全國技能競賽 數位建設BIM - 第四名, 成員：張宸翰