Yi-Chang James Tsai

Brief Biography: 

After working 10 years in the Center of Geographic Information Systems (GIS) at Georgia Tech, Dr. Tsai joined the tenure-track faculty in 2007 as an Associate Professor; I was promoted to full professor in 2014 in the School of Civil and Environmental Engineering and, also, was appointed as an adjunct professor in the School of Electrical and Computer Engineering at Georgia Tech. Dr. Tsai is a strong advocate of and leader in establishing interdisciplinary research teams and programs (including recruitment of researchers and graduate/undergraduate students with different backgrounds), advising of ECE and CS PhD students with ECE and CS faculty, and mentoring of graduate students from different departments. His research teams have produced innovative research in the development of novel algorithms and spatial and sensing technologies.

Dr. Tsai’s research focuses on the development of Spatial Information and Sensing Optimization (SISO) methodologies, concentrating on applications to roadway/infrastructure health and safety condition evaluation, prediction, and management with a special emphasis on pavements and signs assets.

Dr. Tsai’s unique strengths include 1) emerging sensing technologies and their optimization (2D imaging, 3D laser, Lidar, smart phones, UAV, 3D printing, telematics and CAV, and GPS/GIS technologies);  2) data science and advanced computation methods, including artificial intelligence and machine learning (AI/ML), computer vision, spatial data analysis and visualization, etc., for automatic infrastructure health and safety condition assessment;  and 3) intensive experience in leading interdisciplinary research teams to perform innovative research.  The following are some highlights of Dr. Tsai’s academic activities:

  1. A recognized worldwide leader in automatic detection and classification of pavement distresses using emerging 3D laser technology and ML. This is evidenced by
    1. Pioneering the competitively selected $3.5 million research projects, “Remote Sensing and GIS-enabled Asset Management (RS-GAMS) Phases I and II,” (2010-2014), sponsored by the US Department of Transportation Research and Innovative Technology Administration (USDOT RITA) program; these projects especially recognized for their first-time use of 3D laser technology in the US.  Dr. Tsai’s research over the past ten years has been largely responsible for 3D laser technology emerging as a mainstream technology. More than 80% of state departments of transportation in the US have moved from manual visual inspection to automated pavement condition evaluation.
    2. Being competitively selected for the 2017 AASHTO High Value Research (HVR) Award (a national award) because of my research team’s successful implementation of 3D laser technologies and AI on a large-scale system.
    3. Deloping and publishing the national technical standard (.PSI) in 2021 on using 3D laser technology for automated pavement condition evaluation based on my team’s research outcomes. Dr. Tsai’s on-going research project (NCHRP 01-60) will develop and publish six national technical standards, including using 3D printing for the verification of 3D technology, by the end of 2022.  
    4. Addressing the nation’s top priority needs on infrastructure investment by implementing 3D laser technologies and ML for automated pavement condition evaluation nationwide, starting with four research projects sponsored by GDOT, FDOT, TxDOT, and Caltrans.
    5. Being invited to give keynote speech in the international conference in 2021 on “Automated 3D Pavement Condition Evaluation Using Machine Learning for Optimized Asset Management,” and to give multiple presentations in the Transportation Research Board (TRB, 2022) on AI applications to automated pavement condition evaluation.
  2. Developed innovative crack detection algorithms and their performance measurements.
    1. The research outcomes have been published in diverse, prestigious journals with high impact factors and at professional conferences, including ComputerAided Civil and Infrastructure Engineering, ASCE Journal of Computing in Civil Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE International Intelligent Transportation Systems Conference (ITSC), etc.
    2. A buffered Hausdorff distance method was developed to quantify the performance of different pavement distress segmentation algorithms; this has established a significant foundation for advancing innovative crack detection algorithm development.
    3. The developed theories and algorithms are fundamental; thus, they can be applied to broad crack detection of man-made infrastructures, including pavements, bridges, tunnels, dams, buildings, oil pipelines, ocean infrastructure, etc.
    4. Recent innovative research work that developed a novel crack detection algorithm by combining the strengths of both geometrical modeling with 3D minimal path algorithm and data-driven ML using 3D pavement surface data will make a major technical contribution and breakthrough to overcome the drawbacks of ML.
  3. Developed an innovative crack fundamental element (CFE) model with a topological representation of cracks to establish a mathematical foundation for modeling large-scale, in-field infrastructure crack characteristics to study real-world crack propagation behavior at multiple scales.
  4. Established a 10-year “Safer Road” plan (2014 – 2024) by developing and implementing algorithms, methodologies, technologies, and tools to make the nation’s roadways safer. The innovative curve safety assessment method, which uses low-cost smart phones, AI, and crowdsourcing, has been developed through our NCHRP IDEA-214. The overarching goal is to save thousands of lives per year.  
  5. Secured more than $14M in research projects as a Principal Investigator, including four highly prestigious National Academy of Sciences National Cooperative Highway Research Program Innovations Deserving Exploratory Analysis (NCHRP-IDEA) grants and more than $3.5M from the intensively competitive USDOT RITA Remote Sensing and Spatial Information Technology Program.
  6. Elected Chinese Changjiang Scholar in 2009 (one out of 244 worldwide scholars in all areas, and the only one in transportation), one of the most prestigious scholar’s honor awarded by the Chinese government in recognition of Dr. Tsai’s scholarship and leadership in the field of sensor-based and spatially-enabled infrastructure management.
  7. Worked with the largest logistics company (SF express) on dynamic roadway mapping using low-cost smart phone and AI for SF’s effective truck routing and with automobile industry (Volvo group) to predict and optimize vehicle energy consumption up to 6% using ML and real-time vehicle data.
  8. Served as a PI to bring innovation and health to our community by building a world class interdisciplinary team with faculty and researchers having different backgrounds (transportation, logistics, planning, policy, social science, public health, psychology, robotics, safety design, assistive technology, asset management, etc.) to address the growing challenge on safety and mobility of our aging population (competitively selected for funding by GT Seed Grant – Building Teams and Moving Teams Forward).
  9. Advised 9 postdoctoral fellows; 20 PhD students (15 graduated) with 2 NSF Graduate Research Fellowships and 3 International Road Federation Fellows; 22 MS students with thesis (19 graduated), 4 with Eisenhower Transportation Fellowships; 101 Non-thesis MS students (99 graduated); and 51 undergraduates with 6 Georgia Tech President’s Undergraduate Research Salary Awards and 1 Best Undergraduate Research Award at Georgia Tech (the only student selected at Ga Tech).
  10. Taught 7 new courses, including AI for Smart Cities, Smart City Infrastructure, to prepare and excite our CEE students with emerging sensing technologies and data science, including AI and computer vision.
  11. Advised an interdisciplinary student team (SECURE) that just won the $5000 2022 CEE Entrepreneurial Impact Competition - Innovation Award (January 28, 2022).

In moving forward, Dr. Tsai would like to establish two major centers of research and technology: 1) a national center on “Smart Infrastructure Health Condition Assessment” using automatic pavement/infrastructure condition evaluation and optimized asset  management with data science (ML, computer vision, and data analytics) and emerging sensing technologies (including but not limited to 2D imaging, 3D laser, Lidar technologies, UAV, smart phones, etc.); this will save great amounts of infrastructure investment money;  2) a national center on “Safer Roads”, using AI and low-cost smart phones to deploy innovative technologies to state and local level (counties/cities) transportation agencies; this will save lives. Dr. Tsai hope to generate the impact in the US first and then broaden its impact worldwide.

Dr. Tsai had also led more than $3.5M of competitively selected research projects on “Remote Sensing and GIS-enabled Asset Management (RS-GAMS)” and “RS-GAMS Phase 2”, sponsored by the USDOT Office of the Assistant Secretary for Research and Technology (USDOT/OST-R), from 2010 to 2014. These projects were designed to intelligently assess roadway asset health conditions by using emerging sensor technologies installed in the intelligent Georgia Tech Sensing Vehicle (GTSV), along with artificial intelligence and machine learning that Dr. Tsai and his research team has integrated and developed (http://www.news.gatech.edu/2013/09/05/road-warriors-gt-researchers-redefine-infrastructure-maintenance). Dr. Tsai’s GDOT research project of “Implementation of Automatic Sign Inventory and Pavement Condition Evaluation on Georgia’s Interstate Highway” has been competitively selected as the 2017 AASHTO High Value Research (HVR) Award because of its innovation and broad impact (https://ce.gatech.edu/news/national-group-honors-research-using-lasers-a...).

His research outcomes were featured in the National Academy of Sciences’ Ignition Magazine  (http://www.trb.org/Publications/Blurbs/163652.aspx) because of their significant positive impact on asset management and roadway safety. One of the most noteworthy accomplishment is his development of a methodology to automatically detect sign condition changes using roadway images that are widely available. Although the developed methodology is applied for routine traffic sign asset inventory, it has promising applications for expedited infrastructure condition evaluation along with unmanned aerial vehicle (UAV) and smart phones, following natural disasters because of its automatic and non-contact nature.

He is also the PI of License Plate Recognition, sponsored by the State Road and Tollway Authority (STRA).  He also works on logistics routing and scheduling for the United Parcel Service (UPS) and maximizing Port and Transportation System and logistics Productivity by Exploring Alternative Port Operation Strategies. Dr. Tsai is also working on a large-scale project on “Crowdsourcing Transportation Asset Management Using Low-Cost Mobile Devices” to create a synergy between logistics companies and transportation agencies to optimize safety, energy consumption, and logistics efficiency.

He has appointed by the National Academy of Science, Engineering and Medicine to serve in the technical committee, the United States National Cooperative Highway Research Program “NCHRP 20-102 (28) Prepared for Transportation Agencies in Workzones for Autonomous and Connected Vehicles” and “NCHRP 20-102 (06) Road Markings for Machine Vision”, two of 34 connected and automated vehicle research projects sponsored by the USDOT. Dr. Tsai served on the Expert Task Group (ETG) of the US National Strategic Highway Research Program II (SHRP II) for the Naturalistic Driving Study (NDS) to provide guidance on research focuses, including the use of computer vision or processing and analyzing big NDS data, from 2008 to 2015. He is also on the technical committee of the AFD 10 Pavement Management Systems of the Transportation Research Board in the National Academies. Since 2010, he has served as the Associate Editor of ASCE Journal of Computing in Civil Engineering. Dr. Tsai holds a professional engineering (PE) license.

 

Dr. Tsai has also initiated a new undergraduate course at Georgia Tech (ECE 2811, 3811/3812, 4811/4812) on Smart City Infrastructure Vertically Integrated Project (VIP) course, which is a novel education system since 2016 (for 12 continuous semesters).  Since joining the tenure track faculty position in 2007, Dr. Tsai has developed seven new courses: 1) CEE 4803 AI for Smart Cities (Fall 2021), 2) CEE 8813 AI for Smart City Infrastructure (Fall 2019), 3) CEE 6652: Infrastructure Management: IT Applications; 4) CEE 4050: Infrastructure System Management (Spring 2021), including Dr. Tsai’s recent work on Complete Street Asset Management; 5) ECE 2811, 3811/3812, 4811/4812: Smart City Infrastructure -- interdisciplinary undergraduate courses for CEE, CS, ECE, ME, ISYE students (12 continuous semesters from Fall 2016 – Spring 2022); 6) CEE 8813: Pavement Technology (Spring 2019); 7) CEE 8813 Advanced GIS for Smart Cities (Spring 2020). In addition, Dr. Tsai has also continuously taught CEE 6621, GIS in Transportation. Dr. Tsai also plans to offer an undergraduate course on Data Analytics on Transportation Safety in Fall 2022 built upon his intensive research work at national and state levels on transportation safety using emerging sensor technologies, including low-cost smart phones, 3D laser technology, and Lidar technologies. These courses highlight Dr. Tsai’s unique strengths in 1) sensing technologies and their optimized use, 2) data science and data analytics, including AI/ML, computer vision, etc. for automatic infrastructure health and safety condition evaluation, and 3) cross-interdisciplinary teaching to attract the talents from different departments.

Dr. Tsai has been invited to give more than 120 presentations, including the keynote speeches of 1) “Emerging 3D Methodologies for Intelligent Roadway Asset Management” at the 3rd International Conference on Transportation Information and Safety (ICTIS 2015) in Wuhan, China, in 2015, and 2) “Smart Cities: Mapping and Predicting Roadway Condition Using 3D and AI Technologies,” at the 11th International Conference of Mobile Mapping Technology (MMT 2019) in Shenzhen, China in August, 2019, and 3) “Automated 3D Pavement Condition Evaluation Using Machine Learning for Optimized Asset Management”, at the 12th International Conference on Road and Airfield Pavement Technology (ICPT), July 14 – July 15, 2021, Sri Lanka.

To work closely with industry, especially on transportation safety, logistics, energy, Dr. Tsai was also invited to talk on "Dynamic Mapping of Infrastructure and Road Conditions" in the Connected Fleets USA 2017 on September 26, 2017, and on “Dynamic Mapping of Roadway Health and Safety Conditions Using Artificial Intelligence” at the Connected Fleets USA 2019 on November 13, 2019.  Dr. Tsai has worked with logistics companies, including UPS and SF Express on their effective truck logistics and value-added using low-cost smart phones and AI on dynamic roadway mapping. Dr. Tsai is currently working with automobile company (Volvo) to predict and optimize vehicle safety and energy consumption using AI and their real-time vehicle data (buses/trucks).

Dr. Tsai’s Interdisciplinary Research Team at Georgia Tech includes researchers and students with the diverse backgrounds in CEE, CS, ECE, and IE.

Last Name: 
Tsai
Office Building: 
SEB
Reports: 
Tsai, Y., Yu, P., Liu, T., Steele, A. (2021) “An Enhanced Network-level Curve Safety Assessment and Monitoring Using Mobile Devices”, National Academy of Science NCHRP IDEA-214, Final Report.
Tsai, Y., Wang, Z., Zhang, X., Yang, Z. (2021) “An Enhanced GDOT Pavement Preservation Guide with Optimal Timing of Pavement Preservation”, RP 14-06, Final Report, Georgia Department of Transportation.
Tsai, Y., Yu, P., Liu, T., Knezevich R., Wang, C. (2021) “Curve Safety Improvements Using Mobile Device and Automatic Curve Sign Detection – Phase II”, RP 19-26, Final Report, Georgia Department of Transportation.
Tsai, Y., Wang, Z., Gadsby, A. (2017) “Evaluation of the Long-term Performance and Benefits of Using an Enhanced Micro-milling Resurfacing Method”, Final Report, Georgia Department of Transportation.
Tsai, Y. and Wang, Z. (2013) “Remote Sensing and GIS-enabled Asset Management System (RS-GAMS)”, Final Report, USDOT RITA Program.
Tsai, Y. and Wang, Z. (2013) “Remote Sensing and GIS-enabled Asset Management System (RS-GAMS)”, Final Report, USDOT RITA Program.
Tsai, Y (2005) “Development of Optimization Modules for GDOT Pavement Management System”, Final Report, Georgia Department of Transportation
Office #: 
328
Affinity Group / Department: 
Construction and Infrastructure Systems Engineering
Transportation Systems Engineering
Type: 
Faculty
Academic Faculty
Education: 
Ph.D. Civil and Environmental Engineering, Georgia Institute of Technology, 1996
M.S.,Civil & Environmental Engineering, Georgia Institute of Technology, 1994
M.S., Civil Engineering, National Chung-Hsing University, 1989
B.S., Civil Engineering, National Chung-Hsing University, 1987
First Name: 
Yi-Chang
Patents: 
“GTRC6321PCT - Systems And Methods For Identifying Traffic Control Devices And Testing The Retroreflectivity Of The Same (granted in 2016)
Photo: 
Publications (Proceedings): 
Salameh, R., and Tsai, Y. Adoption of 3D Laser Imaging Systems for Automated Pavement Condition Assessment in the United States: Challenges and Opportunities. In Airfield and Highway Pavements 2021 (pp. 219-230).
Hsieh, Y. A., & Tsai, Y. C. J. (2021, September). DAU-Net: Dense Attention U-Net for Pavement Crack Segmentation. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) (pp. 2251-2256). IEEE.
Hsieh, Y. A., Liu, Y. C., Chen, M. H., Yang, C. H. H., Tegner, J., Tsai, Y. C. (2020). Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Yang, H. H., Yang, C. H. H., Tsai, Y. C. (2020). Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazing. 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Gadsby, A., Hagenzieker, M., Watkins, K., Tsai, Y. (2020). “The Influence of Situational Complexity, Stress, and Stated Skill on Cyclist Gaze Behavior,” 9th International Cycling Safety Conference 4–6th November 2020, Lund, Sweden.
Yang, C. H. H., Liu, Y. C., Chen, P. Y., Ma, X., & Tsai, Y. C. J. (2019). When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks. In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 3811-3815). IEEE
Tsai, Y. J., Wei, C. C., Six, N. (2019). Accelerated Disaster Reconnaissance Using Automatic Traffic Sign Detection with UAV and AI. 2019 ASCE International Conference on Computing in Civil Engineering, June 17 - June 19, 2019, Atlanta, USA.
Chatterjee, A., & Tsai, Y. J. (2018). Novel Application of the Falling Weight Deflectometer Test: Detection of Surface and Subsurface Distresses. In RILEM 252-CMB-Symposium on Chemo Mechanical Characterization of Bituminous Materials (pp. 293-299). Springer, Cham.
Kaul*, V., Tsai, Y., Yezzi, A. (2010) "Detection of Curves with Unknown Endpoints using Minimal Path Techniques" Proceeding of British Machine Vision Conference (BMVC) 2010, Aberystwyth, UK (8.9% acceptance rate).
Tsai, Y., Ai*, C., Wu, Y., and Siplon, P. (2010) “Simulating Port Logistics Operations Using 3D Visualization Technology”, Proceedings of the International Conference on Computing in Civil and Building Engineering (ICCCBE), Nottingham, UK, June 30 – July 2, 2010.
Tsai, Y. (2010) “Developing an Intelligent Sign Inventory Using Image Processing”, Proceedings of the International Conference on Computing in Civil and Building Engineering (ICCCBE), Nottingham, UK, UK, June 30 – July 2, 2010.
Tsai, Y. and Umare*, K. (2010) “A Parallelized Image Polygon Detection Algorithm for Road sign Inventory “, Proceedings of the International Conference on Computing in Civil and Building Engineering (ICCCBE), Nottingham, UK, UK, June 30 – July 2, 2010.
Wang, Z., Tsai, Y., Pitts, E. (2010) “Pavement Preservation: Pay Now or Pay Big Later”, Proceedings of the 1st International Conf. of Pavement Preservation, Newport Beach, California, April 13-15, 2010.
Tsai, Y., Purcell*, R., Li*, F., Rabun, J.T. (2010) “How Long Will Asphalt Pavement Last?”, Proceedings of the 1st International Conf. of Pavement Preservation, Newport Beach, California, April 13-15, 2010.
Tsai, Y., Wu, Y., Guo, D. (2010) “A Web-based Chuning Highway Pavement Management System”, Proceedings of the 1st International Conf. of Pavement Preservation, Newport Beach, California, April 13-15, 2010.
Tsai, Y., Hu, Z, Siplon, P. (2009) “GIS-enabled Maritime Awareness System (GMAS)” Proceedings of the 2009 IEEE International Conference on Technologies for Homeland Security”, Waltham, MA, USA, May 11-12, 2009.
Tsai, Y. and Wang, Z. (2008) “ Image Processing Algorithms for An Enhanced Roadway Sign Data Collection”, Proceedings of the 7th International Conference on Managing Pavement Assets, Galgary, Canada, June, 2008.
Tsai, Y., Wu, Y., Pitts, E. (2008) “Improving GDOT’s Annual Preventive Maintenance Using A Collaborative Decision Support System”, Proceedings of the 7th 7th International Conference on Managing Pavement Assets, Galgary, Canada, June, 2008.
Tsai, Y., Yang, C., Wang, Z. (2006) “Spatial Clustering for Determining Economical Highway Pavement Let Projects”, GeoCongress 2006 Geotechnical Engineering in the Information Age, Atlanta, GA, February 26 – March 1, 2006.
Gao*, Bo, Wu, Y., Tsai, Y., Lai, J. S. (2006) “Interactive GIS Map-based Decision Support Program on Multi-year Pavement Needs Analysis”, GeoCongress 2006 Geotechnical Engineering in the Information Age, Atlanta, GA, February 26 – March 1, 2006.
Tsai, Y., Wu, J., Wu, Y., and Wang Z. (2005) “Automatic Roadway Geometry Measurement Algorithm Using Video Images”, Image Analysis and Processing, Springer, LNCS 3617, ISSN 0302-9743, pp. 669 – 678.
Tsai, Y., Wu, J., and Wu, Y. (2005) “Geometry-based License Plate Recognition for Low Resolution Images – A Case Study”, Proceedings of the 9th World Multi-Conference on Systemics, Cybernetics, and Informatics, Orlando, Florida, July 10-13, 2005, Vol. VI, pp. 401 – 406.
Tsai Y. (2005) “Roadway Safety Enforcement Using Image Pattern Recognition”, the 5th International Conference of Chinese Transportation Professionals, hosted in Chang’an University, Xi’an, China on June 25-26, 2005.
Tsai, Y., Wu, J., and Wang, Z. (2004) “Enhanced Transportation Infrastructure Data Collection Using Videolog Image Pattern Recognition”, XIII Pan American Conference on Traffic and Transportation Engineering, Albany, NY, September 26-29.
Tsai, Y. and Gratton, B. (2004) “ Successful Implementation of A GIS-based Pavement Management System”, Proceedings of the 8th International Conference on Applications of Advanced Technologies in Transportation, Beijing, China, May 26-28, 2004, pp. 513-518.
Tsai, Y. and Wu M., and Wang, Z. (2004) “Re-engineered Roadway Transportation Data Inventory Using GPS/GIS”, Proceedings of the 8th International Conference on Applications of Advanced Technologies in Transportation, Beijing, China, May 26-28, 2004, pp. 542-547.
Tsai, Y., Gunning* T. G. and Guo* B. (2002), “IT-based Collaborative Highway Pavement Rehabilitation Prioritization for Georgia DOT”, The 3nd International Conference on Decision Making in Urban and Civil Engineering, London, UK, November, 2002.
Tsai, Y., Wang Z. and Yang C. (2002), “A Prototype Real-time GPS/GIS-based Emergency Response System for Locating and Dispatching Moving Patrol Vehicles with the Shortest Path and Beat-based Spatial Search”, Proceedings of the 3rd International Conference on Transportation and Traffic Studies, Guilin, Guangxi, China, July, Vol. 2, pp. 1361-1368.
Tsai, Y., Lai, L. J., Wu*, Y. (2000), “Using GIS for Supporting Network-level Pavement Maintenance Management”, Proceedings of the 2nd International Conference on Decision Making in Urban and Civil Engineering, Lyon, France, Vol. 1, pp. 461-471.
Parsons, R., Frost, J. D., and Tsai, Y. (1998), “GIS ASSESS – A Spatial Analysis Tool for Site Investigation, Planning and Evaluation”, International Conference on Site Characterization, Atlanta, Georgia, Vol. 1, pp. 251-262.
Tsai, Y., Lai, J. L. and Sun, L. (1998), “Developing A Prototype KBS Decision in Identifying the Causes of Asphalt Pavement Distress”, Proceedings of the 1st Conference on New Information Technologies for Decision Making in Civil Engineering, Montreal, Canada, Vol. 1, pp. 515-526.
Job Title: 
Professor
Research Interests: 
Smart Cities: Intelligent Transportation Asset Health and Safety Condition Assessment, Prediction, and Management Using Emerging Sensing Technologies and AI
Data Science, including AI/ML, Computer Vision, and Spatial Analysis/visualization and Sensing Technologies
Automated roadway health and safety condition evaluation using AL/ML, computer vision, 3D laser technology, and low-cost smart phones.
Roadway safety
GPS/GIS and IMU Technologies
Publications (Articles): 
Hsieh, Y. A., Yang, Z., and James Tsai, Y. C. (2021). Convolutional neural network for automated classification of jointed plain concrete pavement conditions. Computer‐Aided Civil and Infrastructure Engineering, 36(11), 1382-1397.
Yang, Z., Zhang, X., Tsai, Y., and Wang, Z. (2021). Quantitative Assessments of Crack Sealing Benefits by 3D Laser Technology. Transportation Research Record, 2675(12), 103-116.
Wu, Y. Tsai, Y., Geary, G. M., Salameh, R. (2021) “JPCP Slab-Level Condition Forecasting for Slab Replacement Planning Using Multi-Stage Markov Chain and Six-Year 3D Pavement Surface Data”, International Journal of Pavement Engineering.
Bukharin, A. W., Yang, Z., Tsai, Y. (2021). "Five-Year Project-Level Statewide Pavement Performance Forecasting Using a Two-Stage Machine Learning Approach Based on Long Short-Term Memory." Transportation Research Record 2675.11 (2021): 280-290.
Geary, G. M., and Tsai, Y. (2021). A 3D Slab-Based Methodology to predict end of life for concrete pavements. International Journal of Pavement Engineering, 1-11.
Geary, G. M., & Tsai, Y. (2021). Jointed Plain Concrete (JPC) Pavement Variability and Method to Complement JPC Design with 3D Pavement Data. Transportation Research Record: Vol 2675, Issue 8: pp. 1332-344.
Hsieh, Y., Tsai, Y. (2021). “Automated Asphalt Pavement Raveling Detection and Classification using Convolutional Neural Network and Macrotexture Analysis”. Transportation Research Record. 2021;2675(9):984-994.
Pranav, C., Tsai, Y. (2021). “High Friction Surface Treatment Deterioration Analysis and Characteristics Study,” Transportation Research Record: Journal of the Transportation Research Board. 2675(12), 370-384.
Pranav, C., Do, M.T., Tsai, Y. (2021) Analysis of High-Friction Surface Texture with Respect to Friction and Wear. Coatings. 11(7), 758.
Hsieh, Y., Tsai, Y. (2020) “Machine Learning for Crack Detection: review and model performance comparison”, ASCE Journal of Computing in Civil Engineering, 34 (5), 04020038.
Tsai, Y., Yang, Z. (2020), “New Pavement Performance Indicators Using Crack Fundamental Elements and 3D Pavement Surface Data with Multi-time Stamp Registration for Crack Deterioration Analysis and Optimal Treatment Determination, Journal of Transportation Research Record, National Academy of Sciences, Vol. 2674(7) 115–126.
Salameh, R., Tsai, Y. (2020), “Enhancing JPCP Maintenance, Rehabilitation, & Reconstruction of Jointed Plain Concrete Pavements Using Slab-Based Cracking Data and Life-Cycle Cost Analysis”, Journal of Transportation Research Record, National Academy of Sciences, 2674 (8), 511-522.
Gadsby, A., Tsai, Y. (2020) “Environmental Impact Comparison of New Micro-Milling and Conventional Milling for Sustainable Pavement Preservation”, International Journal of Pavement Research and Technology, pp. 1-7.
Chatterjee, A., Tsai, Y. (2020) “Training and Testing of Smartphone Based Pavement Condition Estimation Models Using 3D Pavement Data”, ASCE Journal of Computing in Civil Engineering, 34 (6), 04020043.
Tsai, Y., Zhao, Y., Pop-Stefanov, B., Chatterjee, A. C. (2020) “Automatically Detect and Classify Asphalt Pavement Raveling Severity Using 3D Technology and Machine Learning”, International Journal of Pavement Research and Technology pp. 1-9.
Hsieh, Y., Yang, Z., Tsai, Y. (2020) “Convolutional Neural Network for Automated Classification of Jointed Plain Concrete Pavement Conditions”, Computer-Aided Civil and Infrastructure Engineering,1-16.
Tsai, Y., Wu, Y. Geary, G. (2018) “Sustainable and Cost-Effective Pavement Preservation Method: Micro-Milling and Thin Overlay” Journal of Transportation Engineering, Part A: Systems, Volume 144, Issue 10, October 2018.
Wang, Z. Tsai, Y., Bui, B. (2018) “Cost-Effectively Manage Local Governments’ Pavements by Leveraging State DOT’s Technology and Practice”, Journal of Transportation Research Record, National Academy of Sciences, Vol. 2672(13) 19–28.
Tsai, Y., Price, G., Wu, Y. (2018) “A Cost-effective and Objective Full-Depth Patching Identification Method Using 3D Sensing Technology with Automated Crack Detection and Classification”, Journal of Transportation Research Record, National Academy of Sciences, Vol. 2672(40) 50–58.
Geary, G., Tsai, Y., Wu, Y. (2018) “An Area-based Faulting Measurement Method Using 3D Pavement Data”, Journal of Transportation Research Record, National Academy of Sciences, Vol. 2672(40) 41 –49.
Tsai, Y., Wu., Y., Pranav, P. S., Ai, C. (2018) “Identification of Site Characteristics for Proactive High-Friction Surface Treatment Site-Selection Using Sensor-based, Detailed, Location-Referenced Curve Characteristics Data, Journal of Transportation Research Record, National Academy of Sciences, Vol. 2672(38) 69 –80.
Tsai, Y., Chatterjee, A, (2017) “Pothole Detection and Classification Using 3D Technology and Watershed Method”, ASCE Journal of Computing in Civil Engineering, 32(2), 04017078
Tsai, Y., Ai, C. (2017) “Automated Superelevation Measurement Method for Horizontal Curve Safety Assessment Using a Low-Cost Mobile Device” Journal of Transportation Research Record, National Academy of Sciences, Vol. 2621, 62-70.
Tsai, Y., Chatterjee, A, (2017) “A Comprehensive, Quantitative Crack Detection Algorithm Performance Evaluation System (CDA-PES)”, ASCE Journal of Computing in Civil Engineering, 31(5), 04017047.
Wang, C., Wang, Z., Tsai, Y. (2016) “Piecewise Multiple Linear Models for Pavement Marking Retroreflectivity Prediction under Effect of Winter Weather Events” Journal of The Transportation Research Record, National Academy of Sciences; Washington, DC., 2016 (2551): 52-61. (top 3%, 160 papers out of 5600 papers accepted for early publication)
Tsai, Y., Wu, Y., Gadsby, A., Hanes, S. (2016) “Critical Assessment of the Long-term Performance and Cost-effectiveness of a New Pavement Preservation Method: Micro-Milling and Thin Overlay” Journal of The Transportation Research Record, National Academy of Sciences; Washington, DC., 2016 (2550): 8-14. (coached undergraduate student, April Gadsby, top 3%, 160 papers out of 5600 papers accepted for early publication)
Ai, C. and Tsai, Y. (2016) “An Automated Sidewalk Assessment Method for the Americans with Disabilities Act Compliance Using 3-D Mobile LiDAR.” Journal of Transportation Research Record, National Academy of Sciences, 2016 (2542): 25-32.
Jiang, C., Tsai, Y., Wang, Z. (2016) “Crack Deterioration Analysis Using 3D Pavement Surface Data: A Pilot Study on Georgia State Route 26.” Journal of Transportation Research Record, National Academy of Sciences, 2016 (2589): 154-161.
Jiang, C. and Tsai, Y. (2015) “Enhanced Crack Segmentation Algorithm Using 3D Pavement Data”, ASCE Journal of Computing in Civil Engineering, 2015, 30(3): 04015050.
Tsai, Y., Wang, Z., Li, F. (2015) “Assessment of Rut Depth Measurement Accuracy of Point-based Rut Bar Systems using Emerging 3D Line Laser Imaging Technology”, Journal of Marine Science and Technology, Vol. 23, No. 3, pp. 322-330 (2015), DOI: 10.6119/JMST-014-0327-1.
Tsai, Y., Jiang, C., Huang, Y. (2014) “A Multi-scale Crack Fundamental Element Model for Real World Pavement Crack Classification”, ASCE Journal of Computing in Civil Engineering, vol. 28, no. 4, 2014.
Tsai, Y., Wu, Y., and Lewis, Z. (2014). ”Full-Lane Coverage Micromilling Pavement-Surface Quality Control Using Emerging 3D Line Laser Imaging Technology.” Journal of Transportation Engineering. Volume 140 Issue 2.
Ai, C. and Tsai, Y. (2014) “Critical Assessment of an Enhanced Traffic Sign Detection Method Using Mobile LiDAR and INS Technologies.” Journal of Transportation Engineering (10.1061/(ASCE)TE.1943-5436.0000760).
Ai, C. and Tsai, Y. (2014) “Automatic Horizontal Curve Identification and Measurement Method Using GPS Data.” Journal of Transportation Engineering (10.1061/(ASCE)TE.1943-5436.0000740).
Ai, C. and Tsai, Y. (2014) “Geometry Preserving Active Polygon (GPAP)-Incorporated Sign Detection Algorithm” Journal of Computing in Civil Engineering (10.1061/(ASCE)CP.1943-5487.0000422).
Tsai, Y., Li, F., Wu, Y. (2013) “A New Rutting Measurement Method Using Emerging 3D Line-Laser Imaging System”, Int. Journal of Pavement Research and Technology, Vol. 6(5):667-672.
Tsai, Y., Kaul, V., Yezzi, A (2013) “Automating the Crack Map Detection Process for Machine Operated Crack Sealer”, Automation in Construction, Vol. 31, 10-18.
Tsai, Y., Ai, C., Wang, Z., Pitts, E. (2013) “A Mobile Cross Slope Measurement Method Using LiDAR Technology”, Journal of The Transportation Research Record, No. 2367 (2), pp. 53-59, National Academy of Sciences; Washington, DC.
Tsai, Y., Huang Y. (2012) “A Generalized Framework for Parallelizing Traffic Sign Detection of Video Log Images Using Multi-Core Processors”, Computer-Aided Civil and Infrastructure Engineering, 27(7),476-493.
Tsai, Y., Wu, Y., Ai, C., Pitts, E. (2012) “Feasibility Study of Measuring Concrete Joint Faulting Using 3D Continuous Pavement Profile Data,” ASCE Journal of Transportation Engineering,138(11),1291-1296.
Tsai, Y., Li, F. (2012) “Detecting Asphalt Pavement Cracks under Different Lighting and Low Intensity Contrast Conditions Using Emerging 3D Laser Technology”, ASCE Journal of Transportation Engineering, 138(5), 649–656.
Tsai, Y., Wu, Y., Lai, J., Geary, G. (2012) Characterizing Micro-milled Pavement Textures Using RVD for Super-thin Resurfacing on I-95 Using A Road Profiler, Journal of The Transportation Research Record, No.2306, pp.144-150.
Kaul, V., Yezzi, A., Tsai, Y. (2012) “Detecting Curves with Unknown Endpoints and Arbitrary Topology Using Minimal Paths”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, No. 10, pp. 1952-1965.
Ai, C. and Tsai, Y. (2012), “A Hybrid, Active Contour Incorporated Sign Detection Algorithm”, ASCE Journal of Computing in Civil Engineering, Vol. 26(1):28-36.
Tsai, Y., Yang, Q., Wu, Y. (2011) Identifying and Quantifying Intersection Obstruction and Its Severity Using LiDAR Technology and GIS Spatial Analysis, Journal of The Transportation Research Record, 2011, No. 2241, pp 99-108.
Hu, Z. and Tsai, Y. (2011) “Image Recognition Model for Developing a Sign Inventory” ASCE Journal of Computing in Civil Engineering, Vol. 25(2): 149-158.
Wang, I., Tsai, Y., and Feng, L. (2011) “A Network Flow Model for Clustering Segments and Minimizing Total Maintenance and Rehabilitation Cost” Computers & Industrial Engineering 60 (2011) 593-601.
Kaul, V, Tsai, Y., Mersereau, R. M. (2010) “A Quantitative Performance Evaluation of Pavement Distress Segmentation Algorithms”, Journal of The Transportation Research Record, No. 2153, pp. 106-113, National Academy of Sciences; Washington, DC.
Tsai, Y., Hu, Z., Alberti, C. (2010) “Roadway Sign Change Detection Algorithm Using Multi-Scale Sign Image Matching (M-SIM)”, Photogrammetric Engineering and Remote Sensing (PE&RS) Journal, Vol. 76(4):391-405.
Tsai, Y., Kaul, V., Mersereau, R. M. (2010) “A Critical Assessment of Pavement Distress Segmentation Methods Performance Evaluation of Pavement Distress Segmentation Methods” ASCE Journal of Transportation Engineering, Vol. 136 (1):11-19.
Tsai, Y., Wu, J., Wang, Z., Hu, Z. (2010) “Horizontal Roadway Curvature Computation Algorithm Using Vision Technology”, Computer-Aided Civil and Infrastructure Engineering, Vol. 25 (2010):78–88.
Tsai, Y., Kim, P., Wang, Z. (2009) “A Generalized Image Detection Model for Developing a Sign Inventory”, ASCE Journal of Computing in Civil Engineering, Vol. 23(5):266 – 276.
Yang, C., Tsai, Y., Wang Z. (2009) “Algorithm for Spatial Clustering of Pavement Segments”, Journal of Computer-Aided Civil and Infrastructure Engineering, Vol. 24 (2):93-108.
Wu, J. and Tsai, Y. (2006), “Enhanced Roadway Inventory Using 2-D Sign Video Image Recognition Algorithm”, Journal of Computer-Aided Civil and Infrastructure Engineering, Vol. 21, pp. 369-382.
Wu, J. and Tsai, Y. (2005), “Real-time Speed Limit Sign Recognition Based on Locally Adaptive Thresholding and Depth-First-Search”, Special Issue on Mobile Mapping Technologies, Photogrammetric Engineering and Remote Sensing (PE&RS) Journal. Vol. 71(4):405 – 414, April 2005.
Tsai, Y. and Yang, E. (2004), “A Constrained Fuzzy c-Mean Clustering Algorithm for Determining Bridge Let Projects”, ASCE Journal of Computing in Civil Engineering, Vol. 18(3):215-225.
Tsai, Y. and Gao, B., Lai, J. (2004), “GIS-Enabled Multi-Year Project-Linked Network Pavement MR&R System”, Journal of The Transportation Research Record, No. 1889, pp. 21-30, National Academy of Sciences; Washington, DC.
Tsai, Y. and Wu, J. (2002), “Shape and Texture-based 1-D Image Processing Algorithm for Real-time Stop Sign Road Inventory Data Collection”, Journal of Intelligent Transportation System, Vol. 7, pp. 213-234.
Tsai, Y. and Lai, J. S. (2001), “Utilization of Information Technology to Enhance Asphalt Pavement Condition Evaluation Program”, The International Journal of Pavement Engineering, Vol. 2(1):17-32.
Tsai, Y. and Frost, J. D. (1999), “Using GIS and KBS Technology for Real-Time Planning of Site Characterization Activities”, Canadian Geotechnical Journal Vol. 36(2):300-312.
Presentations: 
Tsai, Y. (2021) “Automated 3D Pavement Condition Evaluation Using Machine Learning for Optimized Asset Management”, invited keynote speech, the 12th International Conference on Road and Airfield Pavement Technology (ICPT), July 14 – July 15, 2021, Sri Lanka.
Tsai, Y. (2020) “Covid-19 Contact Tracing & its Spatial-Temporal Analyses” in the 2020 Annual Virtual Conference on 5G to 6G Technology Application and Cybersecurity, Chinese-American Academic and Professional Association in Southeastern United States, October 31, 2020.
Tsai, Y., Gadsby, A. (2019) “Smart Cities: Active Transportation, Complete Street and Asset Management” in the 2019 Annual Conference on The Art & Science of Urban Living, Chinese-American Academic and Professional Association in Southeastern United States, August 2, 2019.
Tsai, Y. (2019) “Smart Cities: Mapping and Predicting Roadway Condition Using 3D and AI Technologies”, invited keynote speech, the 11th International Conference of Mobile Mapping Technology (MMT 2019), May 6 - May 8, 2019, Shenzhen, China.
Tsai, Y. (2017) “Smart City: City and Technology Innovation”, Invited Keynote Speech, International Green Architecture and
Tsai, Y. (2015) invited keynote speech “Emerging 3D Methodologies for Intelligent Roadway Asset Management” in the The 3rd International Conference on Transportation Information and Safety (ICTIS 2015), Wuhan, China, June 26, 2015.
Ai*, C., Tsai, Y. (2012) Critical Assessment of Automatic Traffic Sign Detection Using Three-Dimensional LiDAR Point Cloud Data, 2012 Annual TRB conference, Washington D.C.
Tsai, Y., Wu, Y., Wang*, C., Pitts, E., Cressman, N (2012) Integrating Safety into Resurfacing Project Reprioritization for Minimizing Pavement-Deficiency-Induced Safety Risks, 2012 Annual TRB conference, Washington D.C.
Tsai, Y. (2012) Developing Sensing Methodology for Intelligent and Reliable Work Zone Hazard Awareness, 2012 Annual TRB conference, Washington D.C.
Tsai, Y., Li*, F., Wang, Z. (2012) Automated Detection of Isolated Ruts on I-95 Using 3D Continuous Transverse Profiles, 2012 Annual TRB conference, Washington D.C.
Tsai, Y., Wu, Y., Lai, J. S., Geary, G. (2012) Characterizing Micromilled Pavement Textures Using Range-to-Valley-Depth for Super-thin Resurfacing on I-95 with Road Profiler, 2012 Annual TRB conference, Washington D.C.
Tsai, Y. (2011) "Sensor-based and Spatial-enabled Pavement/Asset Management" invited by University of Waterloo to give a presentation, October 17, 2011.
Tsai, Y. (2011) "Development of Innovative Information and Sensor Technology for Pavement/Roadway Asset Management," invited by Carnegie Mellon University to give a presentation, April 8, 2011.
Tsai, Y., Li*, F. (2011) Feasibility Study of Detecting Cracks under Poor Lighting and Intensity Contrast Conditions Using Emerging 3D Laser Technology, 2011Annual TRB conference, Washington, D.C.
Tsai, Y., Kaul*, V., Yezzi, A. (2011) Automating the Crack Map Detection Process for Machine Operated Crack Sealer, 2011Annual TRB conference, Washington, D.C.
Wang, Z., Tsai, Y., Pitts, E. (2011) Study of Budget Shortfall Impact on Long-term Pavement Preservation, 2011Annual TRB conference, Washington, D.C.
Huang* Y., Tsai, Y. (2011) Enhanced Pavement Distress Segmentation Algorithm using Dynamic Programming and Connected Component Analysis, 2011Annual TRB conference, Washington, D.C.
Tsai, Y., Wu, Y., Ai*, C. (2011) Critical Assessment of Measuring Concrete Joint Faulting Using 3D Continuous Pavement Profile Data, 2011Annual TRB conference, Washington, D.C.
Tsai, Y., Yang*, Q., Wu, Y., Ai*, C. (2011) Identifying and Quantifying Intersection Obstruction and Its Severity Using LiDAR Technology and GIS Spatial Analysis, 2011Annual TRB conference, Washington, D.C.
Tsai, Y., Wang, Z., Li*, F. (2011) Assessment of Rut Depth Measurement Using Emerging 3D Continuous Laser Profiling Technology, 2011Annual TRB conference, Washington, D.C.
Tsai, Y. (2010) "Intelligent Transportation System (ITS) Application to Pavement/Roadway Asset Management" invited by Tsinghua University to give a presentation, December 14, 2010.
Tsai, Y. (2010) "Intelligent Transportation System (ITS) Application to Pavement/Roadway Asset Management,” invited by National Taiwan University to give a presentation, December 6, 2010.
Tsai, Y. (2010) "Intelligent Transportation System (ITS) Application to Pavement/Roadway Asset Management" invited by Indian Institute of Technology (IIT) Madras to give a presentation, Chennai, India, August 23, 2010.
Tsai, Y. (2010) "Intelligent Transportation System (ITS) Research at Georgia Institute of Technology" invited by Tongji University to give a presentation, August 26, 2010.
Tsai, Y., Wang, Z., Pitts, E. (2010) “Evaluation of Funding Balance Policy Impact on Long-term Pavement Performance Using A Multi-year Network-level Long-term M&R Programming Model”, Annual TRB conference, Washington, D.C., January 11-14, 2010.
Tsai, Y., Purcell*, R., Li*, F., Rabun, J.T. (2010) “Systematic Quantification and Analysis of Roadway Preservation Performance: Using 22 Years of Data” Annual TRB conference, Washington, D.C., January 11-14, 2010.
Kaul*, V., Tsai, Y., Mersereau, R. M. (2010) “A Quantitative Performance Evaluation of Pavement Distress Segmentation Algorithms” Annual TRB conference, Washington, D.C., January 11-14, 2010.
Ai*, C and Tsai, Y. (2009) “Partial Differential Equation (PDE) Incorporated Multi-Feature Traffic Sign Detection”, The Fifth Annual Interuniversity Symposium on Infrastructure Management (AISIM), Iowa City, Iowa, June 19-20, 2009 (selected as the best papers in the symposium to be presented in 2010 TRB conference)
Tsai, Y., Kaul*, V., Mersereau, R. M. (2009) “Comparative Study of Pavement Distress Segmentation Methods”, Annual TRB conference, Washington, D.C., January 11-14, 2010.
Tsai, Y. (2006) “IT-based Asset Management”, invited by Chinese Department of Communication, Beijing, China, November 1, 2006.
Tsai, Y. (2006) “Lessons Learned: How to Successfully Implement GAMS”, 2006 SASHTO, August 4 – 9, 2006, Atlanta, GA.
Tsai Y., Wu, Y., and Pitts E. (2006) “Implementing an Enhanced GDOT Pavement Preservation Program”, 2006 Annual TRB conference.
Wang, Z., Tsai, Y., Rabun, J. T. (2006) “An Integrated Pavement Structure Profile Information System”, 2006 Annual TRB conference.
Tsai, Y. (2006) ‘Update on GIS and PMS’ in the Southeastern States Pavement Management and Design Conference, Panama City, FL, May 7-10, 2006.
Wu, Y., Gupta*, S., Ts Tsai, Y. (2005) “Application of video image pattern recognition on roadway safety analyses,” invited by Turner-Fairbank Research Center to give a presentation Washington DC, January 13, 2005.
Wu, Y., Gupta*, S., Tsai, Y. (2005), “Speech-enabled Transportation Asset Inventory Data Collection System”, 2005 Annual TRB conference.
Tsai, Y. (2004) “Image Pattern Recognition for Transportation Applications”, Hong Kong University of Science and Technology on June 6, 2004.
Tsai, Y. (2004) “Transportation Management – Routing & Scheduling” the Logistics Institute at Shandong University on June 4, 2004.
Tsai, Y. (2004) “Pavement Management/Transportation Asset Management” the Liaoning Department of Communication, June 3, 2004.
Tsai, Y. (2004) “Transportation Management – Routing & Scheduling” the National ITS center, Chinese Ministry of Communications, Beijing, June 1, 2004.
Tsai, Y. (2004) “Pavement Management/Transportation Asset Management” invited by the Office of Chinese Association of International Exchange of Personnel (CAIEP), Peking University on May 31, 2004.
Tsai, Y. (2004) “GIS for Pavement Management on Integrating GIS with Pavement Condition Forecasting and Preservation Project Selection Simulation” the 2004 Southeastern Pavement Management and Design Conference sponsored by FHWA, May 26-27, 2004 Biloxi, Mississippi.
Tsai, Y., Wu, M., and Adams, E. D. (2003), “GPS/GIS Enhanced Road Inventory System”, Annual TRB conference.
Tsai, Y. (2002) “GIS for Pavement Management on Data Integration” the 2002 Southeastern Pavement Management and Design Conference sponsored by FHWA, Nashville, Tennessee.
Tsai, Y. (1999) “GIS Applications for GeoScientists” The 12th Annual Symposium on the Application of Geophysics to Environmental and Engineering problems, Oakland, California, 1999.
Phone: 
404.385.6428
2021 Our GDOT research project entitled “An Enhanced GDOT Pavement Preservation Guide with Optimal Timing of Pavement Preservation” has been competitively selected for the 2021 AASHTO High Value Research Projects to be featured in Supplemental Brochures in the AASHTO Research because of its significant positive impact on Maintenance, Management, and Preservation.
2020 Our GDOT research project entitled “Validating Change of Sign and Pavement Conditions and Evaluating Sign Retroreflectivity Condition Assessment on Georgia's Interstate Highways Using 3D Sensing Technologies” has been competitively selected for the 2020 AASHTO High Value Research Projects to be featured in Supplemental Brochures in the AASHTO Research because of its significant positive impact on Maintenance, Management, and Preservation.
2017 Our research project entitled “Implementation of Automatic Sign Inventory and Pavement Condition Evaluation on Georgia’s Interstate Highways” has been competitively selected for the 2017 AASHTO High Value Research (HVR) Award because of its innovation and broad impact using 3D technologies and machine learning
2016 The research project entitled “Developing a GDOT Pavement Marking Handbook Using Field Test Deck Evaluation and Long-term Performance Analysis,” that Dr. Tsai is the PI, has been selected as the 2016 AASHTO High Value Research Projects to be featured in Supplemental Brochures in the AASHTO Research.
2013 Excellence in Research Program Development, CEE, Georgia Tech
2010 Selected in the Spring/Summer 2010 Issue 16 of the Ignition magazine by the National Academy of Sciences National Cooperative Highway Research Program (NCHRP) Innovations Deserving Exploratory Analysis (IDEA) program because of his developed algorithms' scientific and social impact.
2009 Elected Chinese Changjiang Scholar (one out of 244 worldwide in all areas, and only one in transportation), in recognition of his research on applying sensor and information technology on infrastructure management. The Changjiang Scholar is one of the China’s most prestigious scholar’s honors.
2005 Research Achievement Award, College of Architecture, Georgia Tech
2002 Research Development Award, College of Architecture, Georgia Tech
1987 Scholarship for Outstanding Students, Education Ministry, Taiwan, R.O.C.
1985 Scholarship for Outstanding Students, Private Fund of Mr. Lin
1984 Honored for the Cultural Services around Taiwan Villages, Education Ministry, Taiwan, R.O.C.
Middle: 
James
Interdisciplinary Research Area(s): 
Smart Cities
Sustainable Communities