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Xiong (Bill) Yu, PhD

Department Chair, Department of Civil and Environmental Engineering, Case School of Engineering
Opal J. and Richard A. Vanderhoof Professor, Department of Civil and Environmental Engineering, Case School of Engineering
Professor, Department of Electrical, Computer, and Systems Engineering, Case School of Engineering
Professor, Department of Computer and Data Sciences, Case School of Engineering
Professor, Department of Mechanical and Aerospace Engineering, Case School of Engineering
Faculty Affiliate, The Great Lakes Energy Institute
Faculty Affiliate, Institute for Smart, Secure, and Connected Systems

Multiscale multiphysics processes in geosystems and infrastructure, interdisciplinary innovations in intelligent infrastructure technologies towards resilience and sustainability.

Teaching Information

Teaching Interests

geotechnical engineering, infrastructure engineering, smart materials and systems, pavement analyses and design, intelligent infrastructure system, civil engineering field instrumentation and insitu testing

Courses Taught

ECIV 330 Soil Mechanics
ECIV 356/456 Intelligent Infrastructure Systems
ECIV 373/473 Pavement Analyses and Design
ECIV 431 Geotechnical Field Instrumentation and Insitu Testing

Research Information

Research Interests

Dr. Xiong (Bill) Yu is the Chair and Opal J. and Richard A Vanderhoof professor at the Department of Civil and Environmental Engineering, Case Western Reserve University.  He also holds courtesy professorship from the Department of Electrical, Computer and System Engineering and the Department of Computer and Data Sciences. Dr. Yu received his Ph.D. degree in Civil Engineering from Purdue University in 2003, B.S. (1997) and M.S. (2000) degrees in Civil/Hydraulic Engineering from Tsinghua University, China.  He has extensive interdisciplinary training by holding a M.S. degree (2002) from the School of Electrical Engineering and Computer Science, Purdue University and a B.S. degree (1997) from the School of Computer Science, Tsinghua University. 

Research: Dr. Yu research interest includes broad areas of geotechnical engineering and infrastructure engineering with a broad interdisciplinary perspective.  His research converge at the interface of Civil Engineering and Electrical Engineering and Computer Science with interdisciplinary efforts aiming to improve the sustainability and smartness of geosystems and infrastructure systems for the good of the public. He builds the foundational research and innovations in efficient infrastructure design, sustainability, resilience.  His research integrates innovative sensors, smart materials, AI/ML, advanced computational modeling, and system perspective to address the challenges in geosystem, infrastructure, and energy. 

In the infrastructure domain, his research focuses on advancing the intelligent infrastructure system with novel strategies by integrating sensors, smart multifunctional materials, machine learning (ML) and AI for smart environment adaptive infrastructure.   In the geotechnical engineering domain, his research focuses on understanding the multiscale multiphysics processes in the geosystems to support sustainable development and climate resilience.  In the energy domain, he has conducted pioneering research in energy geotechnology in understanding the Multiphysics thermo-hydro-mechanical processes, shallow depth geothermal energy, thermoelectricity energy harvesting, wind energy design system design and utilization, etc.  He has published extensively in these areas. He is a member of the organizing committee for the ASCE inaugural Shale Energy Conference at Pittsburgh, PA by the ASCE Energy Division in 2014 and served as an editor of the conference proceeding.  He was a co-Chair of the Great Lakes SedHeat Geothermal Energy Workshop in 2017, sponsored by the National Science Foundation.  He organized the NSF sponsored CAREER development workshop for junior geotechnical faculty. 

He is PI of over 60 competitive research projects, including 16 projects sponsored by the National Science Foundation (14 as PI, 2 as co-PI).  He is also PI for a number of projects sponsored by the National Research Council, the Federal Highway Administration, and the Ohio Board of Regents, the Ohio Department of Transportation, and private industry.  Research support totals over $20M with his share of over $10M.  Dr. Yu is a recipient of NSF CAREER award in 2009.  He has published around over 200 journal articles, 50 special publication papers, and 140 referred conference papers).  He has co-edited 6 Geotechnical Special Publications.  He holds a few U.S. patents and invention disclosures.

Education: Dr. Yu empowers strong student success.  He has graduated 20 Ph.D.s.  Eleven (14) students received tenure track faculty positions, including 8 at the U.S. Universities and 6 at oversea Universities. Six (6) students works at world renown companies. Two (2) students have received the NSF CAREER award. Additionally, five (5) students received young investigator awards so far. He currently advises the dissertation work of 9 Ph.D. students.  He has also advised the research of over 50 undergraduate students. Many of them have published papers in referred conferences and journals. A few students have also won recognitions by various research awards and student paper competitions. He has been nominated a number of times for excellence in graduate mentor and graduate teaching awards.

He has worked with the University office to develop a number of international educational programs including 2+2 binary program and 3+2 BS/MS program. 

Dr. Yu has actively participated international collaborations to advance research and education.  He has delivered over 100 invited talks. He was a member of U.S. research community to participate international research exchanges, including keynote speech at the US-China Workshop on Sustainable Materials in 2008, the US-Japan Workshop on Bio-inspired Engineering for Next-Generation Sensors and Actuators in 2011, NSF workshop on the Material Genome for Infrastructure Materials in 2017.  He was selected to participate in the U.S.-Germany Frontiers of Engineering symposium in 2013 and the 2013 World Frontier of Engineering symposium. 

Service and Leadership:  Dr. Yu serves on committees of ASCE, IEEE, TRB, SPIE, etc. He was the chair of the Geo-Institute Engineering Geology and Site Characterization committee, which was selected to receive the Geo-Institute Technical Committee of the Year award for the excellent leadership efforts. He is also a member of the expert task group for the Strategic Highway Research Program (SHRP) and the National Cooperative Highway Research Program (NCHRP) projects. He serves on the editorial board of journals such as Scientific Reports, AI in Civil Engineering, Geotechnical Testing Journal, Journal of Testing and Evaluation, and Journal of Advances in Civil Engineering Materials and served as an associate editor of the Journal of Materials in Civil Engineering (2010-2013).  He also served as the guest editor for journals such as Acta Geotechnica, Journal of Geotechnical and Geological Engineering, International Journal of Pavement Research and Technology, Journal of Zhejiang University. He provides review service for a number of journals, conferences, and funding agencies. 

Dr. Yu provided a number of leadership roles at the Department, Engineering and University level service.  He serves as the Chair of the Department of Civil and Environmental Engineering (since 2019).  Under his leadership, the Department significantly increased its research portfolio, including doubled its graduate student population and significantly improved the productivity of its scholarly work (currently ranked No. 8 among Civil Engineering programs in the Nation according to academic analytics in 2025). Dr. Yu served (by elections) as the Chair of Case School of Engineering Executive Committee (2017-2019), chair of Case School of Engineering Promotion and Tenure Committee (2016-2017), and chair of Case School of Engineering Undergraduate Committee (2014-2016).  He was the Case School of Engineering representative on the University Faculty Senate Committee on Undergraduate Education (2015-2017), University Faculty Senate Nomination Committee (2014-2016). He was a member of the Case School of Engineering Strategic Plan Performance Committee and co-lead the Research Thrust (2012-2014). 

Awards and Honors

 John S. Diekhoff Awards in Excellent Graduate Mentoring
2023
Graduate Student Council
Faculty research award
2019
Case School of Engineering
Faculty Innovation Awards
2018
Case School of Engineering
Faculty Graduate Teaching Award
2024
Case School of Engineering
Civil Engineer of the Year
2023
Cleveland ASCE

Professional Memberships

Fellow, American Society of Civil Engineers
Senior Member, Institute of Electrical and Electronics Engineers
Department Heads Coordindation and Advisory Council (DHCAC)

Publications

Publications in Recent Years

  1. Kazeem, A., & Yu, X. (2026). Non-Invasive Detection of Lead Connection Pipe with Machine Learning Model. ACS ES&T Water.
  2. Liaqat, N., & Yu, X. (2026). Enzyme assisted carbon dioxide capture and mineralization in construction relevant alkaline materials. Scientific Reports.
  3. Tsai, Y., Kumarihamy, M., Ponce, N., Alam, M., Kim, W., Yu, X., Kim, T., & Samia, A. (2026). Tailored TiO2 Nanoparticles for Broad-Spectrum Antibiofilm Applications: A Systematic Comparison of Structural and Functional Properties of Carbon-and Nitrogen-Doped TiO2 Nanoparticles. ACS Applied Engineering Materials.
  4. Ullah, S., Hegarty, B., & Yu, X. (2026). An Effective Strategy to Preserve the Durability of Biopolymer Soil Treatment. Biogeotechnics, 100232.
  5. Liaqat, N., Yang, M., Chuenchart, W., Ge, X., & Yu, X. (2026). Pre-Carbonated Steel Slag Aggregates as Reactive Carbon Sinks in Mortar: A Circular Approach to CO2 Sequestration and Structural Enhancement. Sustainability, 18(5), 2296.
  6. Chen, E., & Yu, X. (2026). Real-time control of urban drainage system for flood and combined sewer overflow mitigation with a novel recurrent deep reinforcement learning framework. Water Research, 125797.
  7. Lateef, J., & Yu, X. (2025). Comparison study of advanced computer vision models for wind turbine blade defect detection. Wind Engineering, 0309524X261428794.
  8. Han, L., Wang, C., Liang, F., Xie, J., & Yu, X. (2025). Experimental investigation on dynamic remediation with solidified soil for scour around offshore wind turbine foundations. Marine Georesources & Geotechnology, 43(9), 1685–1701.
  9. Schossler, R., Ullah, S., Alajlan, Z., & Yu, X. (2025). Data-driven analysis in 3D concrete printing: predicting and optimizing construction mixtures. AI in Civil Engineering, 4(1), 1.
  10. Jiang, Y., & Yu, X. (2025). Space-based long term condition monitoring of cold region pavement with PS-InSAR. Journal of Infrastructure Preservation and Resilience, 6(1), 4.
  11. Jiang, Z., Zhang, B., & Yu, X. (2025). Photocatalytic cement mortar with durable self-cleaning performance. Catalysts, 15(3), 249.
  12. Chen, E., & Yu, X. (2025). A Novel Machine Learning Based Cluster-Then-Forecast Framework for Sensor Placement Optimization and Real-Time Water Level Prediction in Low Impact Development (LID) Stormwater System. ACS ES&T Water, 5(7), 3729–3738.
  13. Jiang, Y., Ullah, S., Zapata, C., & Yu, X. (2025). Assessment of the impacts of climate change on cold region pavement design and operation. Journal of Infrastructure Preservation and Resilience, 6(1), 20.
  14. Chen, E., & Yu, X. (2025). A transferable machine learning model for real-time forecast of epidemic dynamics and pre-trigger event warning. AI in Civil Engineering, 4(1), 18.
  15. Islam, M., Elahee, G., Fang, Y., Yu, X., Advincula, R., & Cao, C. (2025). Polylactic acid (PLA)-based multifunctional and biodegradable nanocomposites and their applications. Composites Part B: Engineering, 112842.
  16. Agarwal, H., Mecklem, O., & Yu, X. (2025). Bio-Inspired Floating Foundations for Offshore Wind Energy. Available at SSRN 5737405.
  17. Tsai, Y. H.; Milbrandt, N. B.; Prado, R. C.; Ponce, N. B.; Alam, M. M.; Qiu, S. R.; Yu, X.; Burda, C.; Kim, T. K. J.; Samia, A. C. S. Effect of Nitrogen Doping on the Photocatalytic Properties and Antibiofilm Efficacy of Reduced TiO2 Nanoparticles. ACS Applied Bio Materials 2024, 7 (7), 4580–4592.
  18. Suh, H. S.; Song, J. Y.; Kim, Y.; Yu, X.; Choo, J. Data-Driven Discovery of Interpretable Water Retention Models for Deformable Porous Media. Acta Geotechnica 2024, 19 (6), 3821–3835.
  19. Schossler, R. T.; Ojo, S.; Jiang, Z.; Hu, J.; Yu, X. A Novel Interpretable Machine Learning Model Approach for the Prediction of TiO2 Photocatalytic Degradation of Air Contaminants. Scientific reports 2024, 14 (1), 13070.
  20. Ojo, S.; Tsai, Y. H.; Samia, A. C. S.; Yu, X. Innovative Antifungal Photocatalytic Paint for Improving Indoor Environment. Catalysts 2024, 14 (11), 783.
  21. Liu, J.; Zhu, C.; Yu, X.; Han, C. Mitigating Desiccation Cracking in Bentonite Using Novel Microencapsulated Phase Change Materials. Applied Clay Science 2024, 261, 107586.
  22. Jiang, Y.; Yu, X. B. A Multiphysics Model for Assessing the Stability of Cold Region Slope Subjected to Environmental Dynamics. Transportation Geotechnics 2024, 47, 101248.
  23. Gao, Q.; Yu, X. An Innovative Time Domain Reflectometry (TDR) Sensor to Monitor Earthquake Induced Void Redistribution in Layered Soils. Intelligent Geoengineering 2024, 1 (1), 78–87.
  24. Cheng, X.; Wang, C.; Liang, F.; Wang, H.; Yu, X. B. A Preliminary Investigation on Enabling Digital Twin Technology for Operations and Maintenance of Urban Underground Infrastructure. AI in Civil Engineering 2024, 3 (1), 4.
  25. Zhang, X.; Fan, X.; Wang, C.; Yu, X. A Novel Method to Improve the Soil Erosion Resistance with Fungi. Acta Geotechnica 2023, 18 (5), 2827–2845.
  26. Wang, C.; Yuan, Y.; Zhu, W.; Wang, C.; Yu, X. A Probabilistic Strategy to Evaluate Scour around Bridge Deepwater Foundations Considering a Reliability Assessment. Marine Georesources & Geotechnology 2023, 41 (1), 54–66.
  27. Schossler, R. T.; Ojo, S.; Yu, X. B. Optimizing Photodegradation Rate Prediction of Organic Contaminants: Models with Fine-Tuned Hyperparameters and SHAP Feature Analysis for Informed Decision Making. Acs Es&t Water 2023, 4 (3), 1131–1145.
  28. Schossler, R. T.; Ojo, S.; Jiang, Z.; Hu, J.; Yu, X. Ensembled Machine Learning Models for Tio2 Photocatalytic Degradation of Air Contaminants. Available at SSRN 4435749 2023.
  29. Ren, J.; Fan, X.; Yu, X.; Vanapalli, S.; Zhang, S. Use of an Artificial Neural Network Model for Estimation of Unfrozen Water Content in Frozen Soils. Canadian Geotechnical Journal 2023, 60 (8), 1234–1248.
  30. Lu, Y.; Cortes, D. D.; Yu, X.; Narsilio, G.; Dai, S. Numerical Investigations of Enhanced Shallow Geothermal Energy Recovery Using Microencapsulated Phase Change Materials and Metal Fins. Acta Geotechnica 2023, 18 (6), 2869–2882.
  31. Jiang, Y.; Yu, X. Holistic Multiphysics Simulation of Climatic Responses of Cold Region Pavements. Journal of Infrastructure Preservation and Resilience 2023, 4 (1), 24.
  32. Hu, J.; Huang, M.-C.; Yu, X. B. Deep Learning Based on Connected Vehicles for Icing Pavement Detection. AI in Civil Engineering2023, 2 (1), 1.
  33. Guo, Y.; Yu, X. Insight on Bulk Shear Strength Parameters of Clay Using Discrete Element Approach Incorporating Physics-Based Interparticle Force Model. Soils and Foundations 2023, 63 (1), 101250.
  34. Guo, Y.; Yu, X. Insight into on Compression Behaviors of Clay from a Novel Discrete Element Model Considering Non-Contact Interparticle Forces. Acta Geotechnica 2023, 18 (9), 4583–4597.
  35. Guo, Y.; Wang, C.; Lu, M.; Yu, X. B. Numerical Investigations on Evolution Mechanism of Contact Erosion in Layered Soils Considering Particle-Scale Parameters. Transportation Geotechnics 2023, 41, 101023.
  36. Fan, X.; Zhang, X.; Yu, X. B. Uncertainty Quantification of a Deep Learning Model for Failure Rate Prediction of Water Distribution Networks. Reliability Engineering & System Safety 2023, 236, 109088.
  37. Fan, X.; Zhang, X.; Yu, A.; Speitel, M.; Yu, X. Assessment of the Impacts of Climat Change on Water Supply System Pipe Failures. Scientific Reports 2023, 13 (1), 7349.
  38. Fan, X.; Zhang, X.; Wang, X.; Yu, X. A Deep Reinforcement Learning Model for Resilient Road Network Recovery under Earthquake or Flooding Hazards. Journal of Infrastructure Preservation and Resilience 2023, 4 (1), 8.
  39. Fan, X.; Yu, X. Machine Learning-Assisted Optimal Schedule of Underground Water Pipe Inspection. Journal of Infrastructure Preservation and Resilience 2023, 4 (1), 20.
  40. Martinez, Alejandro; Dejong, Jason; Akin, Idil; Aleali, Ali; Arson, Chloe; Atkinson, Jared; Bandini, Paola; Baser, Tugce; Borela, Rodrigo; Boulanger, Ross; , 2022, Bio-inspired geotechnical engineering: principles, current work, opportunities and challenges, Géotechnique, 72, 8, 687-705
  41. Fan, Xudong; Yu, Xiong; , 2022, An innovative machine learning based framework for water distribution network leakage detection and localization, Structural Health Monitoring, 21, 4, 1626-1644
  42. Han, Chanjuan; Zhu, Chentao; Shen, Yang; Yu, Xiong Bill; , 2022, Energy, environmental and economic performance evaluation of energy pile system under different climate conditions, Energy Conversion and Management, 252, , 115041
  43. Fan, Xudong; Zhang, Xijin; Yu, Xiong; , 2022, A graph convolution network‐deep reinforcement learning model for resilient water distribution network repair decisions, Computer‐Aided Civil and Infrastructure Engineering, 37, 12, 1547-1565
  44. Wang, Chen; Liang, Fayun; Yu, Xiong; , 2022, Investigation on scour process around bridge foundations considering soil particles and layer distributions, European Journal of Environmental and Civil Engineering, 26, 10, 4374-4391
  45. Ren, Jun-ping; Fan, Xudong; Yu, Xiong; Vanapalli, Sai; Zhang, Shoulong; , 2022, Use of an artificial neural network model for estimation of unfrozen water content in frozen soils, Canadian Geotechnical Journal, ja, 
  46. Zhang, Xijin; Hu, Jianying; Fan, Xudong; Yu, Xiong; , 2022, Naturally grown mycelium-composite as sustainable building insulation materials, Journal of Cleaner Production, 342, , 130784
  47. Fan, Xudong; Wang, Xiaowei; Zhang, Xijin; Yu, Xiong Bill; , 2022, Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors, Reliability Engineering & System Safety, 219, , 108185
  48. Zhang, Xijin; Li, Yanjun; Fan, Xudong; Wnek, Gary; Liao, Ya-Ting T; Yu, Xiong; , 2022, Development and characterization of novelly grown fire-resistant fungal fibers, Scientific Reports, 12, 1, 10836
  49. Dong, Shaoyang; Jiang, Yusheng; Yu, Xiong;, 2022, A Novel Random Finite Element Model for Frost Effects on Soils and Cold Region Pavement
  50. Jiang, Zhuoying; Hu, Jiajie; Samia, Anna; Yu, Xiong; , 2022, Predicting Active Sites in Photocatalytic Degradation Process Using an Interpretable Molecular-Image Combined Convolutional Neural Network, Catalysts, 12, 7, 746
  51. Fan, Xudong; Zhang, Xijin; Wang, Xiaowei; Yu, Xiong; , 2022, A Novel Deep Reinforcement Learning Model for Resilient Road Network Recovery from Multiple Hazards
  52. Fan, Xudong; Zhang, Xijin; Yu, Allen; Speitel, Matthew; Yu, Xiong; , 2022, Assessment of the Impacts of Climate Change on Water Supply System Pipe Failures
  53. Guo, Yuan; Li, Jiale; Yu, Xiong; , 2022, Experimental Study on Load-Carrying Behavior of Large Open-Ended Pipe Pile in Cohesionless Soils, Sustainability, 14, 19, 12223
  54. Zhang, Xijin; Fan, Xudong; Wang, Chen; Yu, Xiong; , 2022, A novel method to improve the soil erosion resistance with fungi, Acta Geotechnica, , 19-Jan
  55. Dong, Shaoyang; Jiang, Yusheng; Yu, Xiong; , 2022, A novel random finite element model for holistically modeling of the frost effects on soils and cold region pavements, Journal of Infrastructure Preservation and Resilience, 3, 1, 16
  56. Fan, Xudong; Yu, Xiong; , 2022, Machine Learning-Assisted Optimal Schedule of Underground Water Pipe Inspection
  57. Xudong Fan, Xijin Zhang, Xiong (Bill) Yu, A Graph Convolution Network-Deep Reinforcement Learning Model for Resilient Water Distribution Network Repair Decisions. Computer Aided Civil and Infrastructure, 2022, Accepted.
  58. Xudong Fan, Xiaowei Wang, Xijin Zhang, Xiong (Bill) Yu, Machine Learning based Water Pipe Failure Prediction: The Effects of Engineering, Geology, Climate and Socio-Economic Factors, Reliability Engineering & System Safety, 2021, 108185, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2021.108185.
  59. Zhong, Shifa; Hu, Jiajie; Yu, Xiong; Zhang, Huichun; (2021). Molecular image-convolutional neural network (CNN) assisted QSAR models for predicting contaminant reactivity toward OH radicals: Transfer learning, data augmentation and model interpretation, Chemical Engineering Journal,408,,127998,2021,Elsevier
  60. Zhang, Xijin; Fan, Xudong; Li, Min; Samia, Anna; Yu, Xiong Bill; (2021), Study on the behaviors of fungi-concrete surface interactions and theoretical assessment of its potentials for durable concrete with fungal-mediated self-healing,Journal of Cleaner Production,292,,125870,2021,Elsevier
  61. Li, Xinyao; Zeng, Xiangwu; Yu, Xiong; Wang, Xuefei;(2021) ,Seismic response of a novel hybrid foundation for offshore wind turbine by geotechnical centrifuge modeling,Renewable Energy,172,,1404-1416,2021,Pergamon
  62. Zhang, Lei; Shi, Bin; Zhu, Honghu; Yu, Xiong Bill; Han, Heming; Fan, Xudong;(2021) ,PSO-SVM-based deep displacement prediction of Majiagou landslide considering the deformation hysteresis effect,Landslides,18,1,179-193,2021,Springer Berlin Heidelberg
  63. Fan, Xudong; Zhang, Xijin; Yu, Xiong Bill;(2021) ,Machine learning model and strategy for fast and accurate detection of leaks in water supply network, Journal of Infrastructure Preservation and Resilience,2,1,21-Jan,2021,SpringerOpen, https://doi.org/10.1186/s43065-021-00021-6
  64. Dong, Shaoyang; Jiang, Yusheng; Yu, Xiong;(2021) ,Analyses of the Impacts of Climate Change and Forest Fire on Cold Region Slopes Stability by Random Finite Element Method,Landslides,,,15-Jan,2021,Springer Berlin Heidelberg, https://doi.org/10.1007/s10346-021-01637-1
  65. Mazumder, Ram K; Salman, Abdullahi M; Li, Yue; Yu, Xiong;(2021) ,Asset Management Decision Support Model for Water Distribution Systems: Impact of Water Pipe Failure on Road and Water Networks,Journal of Water Resources Planning and Management,147,5,4021022,2021,American Society of Civil Engineers
  66. Martinez, Alejandro; DeJong, Jason; Akin, Idil; Aleali, Ali; Arson, Chloe; Atkinson, Jared; Bandini, Paola; Baser, Tugce; Borela, Rodrigo; Boulanger, Ross; et al;… Yu, Xiong, Zheng, Junxing (2021) ,Bio-inspired geotechnical engineering: principles, current work, opportunities and challenges,Géotechnique,,,19-Jan,2021,Thomas Telford Ltd
  67. Asadi, Esmaeel; Salman, Abdullahi M; Li, Yue; Yu, Xiong;(2021) ,Localized health monitoring for seismic resilience quantification and safety evaluation of smart structures,Structural Safety,93,,102127,2021,Elsevier
  68. Gupta, Devansh; Xu, Wenyao; Yu, Xiong; Huang, Ming-Chun;(2021), Campus safety and the internet of wearable things: assessing student safety conditions on campus while riding a smart scooter,2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 4-Jan,2021,IEEE
  69. Zhang, Xijin; Fan, Xudong; Han, Chanjuan; Li, Yanjun; Price, Erik; Wnek, Gary; Liao, Ya-Ting T; Yu, Xiong Bill;(2021), Novel strategies to grow natural fibers with improved thermal stability and fire resistance,Journal of Cleaner Production,320,,128729,2021,Elsevier
  70. Fan, Xudong; Yu, Xiong;(2021), An innovative machine learning based framework for water distribution network leakage detection and localization,Structural Health Monitoring,2021,SAGE Publications Sage UK: London, England, https://doi.org/10.1177/14759217211040269
  71. Jiang, Zhuoying; Hu, Jiajie; Tong, Matthew; Samia, Anna C; Zhang, Huichun Judy; Yu, Xiong Bill;(2021), A Novel Machine Learning Model to Predict the Photo-Degradation Performance of Different Photocatalysts on a Variety of Water Contaminants, Catalysts,11,9,1107,2021,Multidisciplinary Digital Publishing Institute
  72. Shifa Zhong, Kai Zhang, Majid Bagheri, Joel G. Burken, April Gu, Baikun Li, Xingmao Ma, Babetta L. Marrone, Zhiyong Jason Ren, Joshua Schrier, Wei Shi, Haoyue Tan, Tianbao Wang, Xu Wang, Bryan M. Wong, Xusheng Xiao, Xiong Yu, Jun-Jie Zhu, and Huichun Zhang* (2021),Machine learning: new ideas and tools in environmental science and engineering, Environmental Science & Technology,55,19,12741-12754,2021,American Chemical Society
  73. Han, Chanjuan; Zhu, Chentao; Shen, Yang; Yu, Xiong Bill;(2021),Energy, environmental and economic performance evaluation of energy pile system under different climate conditions, Energy Conversion and Management,115041,2021,Pergamon

Education

PhD
Civil Engineering
Purdue University
2003
Master of Science
Electrical Engineering and Computer Science
Purdue University
2003
Master of Science
Department of Hydraulic Engineering/Geotechnical Engineering
Tsinghua University
2000
Bachelor of Science
Department of Hydraulic Engineering/Hydraulic and Hydropower Structure and Construction
Tsinghua University
1997
Bachelor of Science
Computer Science Department/Computer Science and Technology
Tsinghua University
1997

Additional Information

Patents Pending

2012, "Non-Contact ECG Sensing Platform" , Bill Yu.