Luo Liang |Intelligent Construction | Best Research Award

Luo Liang | Intelligent Construction | Best Research Award

Dr.Luo Liang , Harbin Institute of Technology , China.

Dr.Luo Liangย  is an Assistant Researcher specializing in intelligent construction and bridge engineering. he is a member of the Chinese Communist Party. He is currently pursuing a Ph.D. in Civil Engineering at Harbin Institute of Technology (HIT), focusing on AI-driven sustainable bridge maintenance and intelligent construction. Luo has published over ten high-impact SCI papers and has contributed to key national research projects. His expertise includes AI-driven decision-making for structural health monitoring and high-performance building connections. Luo is skilled in MATLAB, Python, CAD, and simulation software like Abaqus and ANSYS. ๐Ÿš€๐Ÿ—๏ธ

Publication Profile

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Education & Experienceย ๐ŸŽ“๐Ÿ‘ทโ€โ™‚๏ธ

  • Ph.D. in Civil Engineeringย (2021.09โ€“2025.01) โ€“ Harbin Institute of Technology (C9)ย ๐Ÿ—๏ธ
    • Research: Sustainable bridge assessment, AI-driven maintenance
    • Advisors: Prof. Lรผ Dagang, Prof. Jia Mingming
    • GPA: 3.56/4
  • M.Sc. in Civil & Transportation Engineeringย (2018.09โ€“2021.06) โ€“ South China University of Technology (985)ย ๐Ÿ—๏ธ
    • Research: High-performance building connections
    • Advisor: Prof. Wang Zhan
    • GPA: 3.54/4
  • B.Sc. in Civil Engineeringย (2014.09โ€“2018.06) โ€“ East China Jiaotong Universityย ๐Ÿ—๏ธ
    • GPA: 3.86/4 (Top 5%)
    • Courses: Concrete & Steel Structure Design, Bridge Engineering
  • Research Projects:
    • National Key R&D Program (2022-2025)ย ๐Ÿ“กย โ€“ AI-based dynamic maintenance for bridges
    • National Natural Science Foundation Key Project (2017-2021)ย ๐Ÿ—๏ธย โ€“ High-performance structural connections
  • Industry Experience:
    • Research Assistant (2021-Present)ย ๐ŸŽฏย โ€“ Assists in national research & academic awards
    • China Resources Land Guangzhou (2019-2021)ย ๐Ÿขย โ€“ Participated in project planning & design

Suitability Summary

Dr. Liang Luo’s research inย Intelligent Construction and Bridge Engineeringย exemplifies cutting-edge advancements in sustainable infrastructure and structural performance analysis. With overย 10 high-impact publicationsย in renowned journals such asย Engineering Structures, Construction and Building Materials,ย and theย Journal of Cleaner Production, his work has significantly contributed to the evolution of civil engineering methodologies. His award-winning study,ย “Experimental Study and Theoretical Prediction of Axial Compression Behavior in PMC-Reinforced CFST Columns with Void Defects”, recognized with theย Best Research Award, underscores his expertise in enhancing structural resilience and efficiency. His contributions align perfectly with the pursuit of innovative, eco-friendly construction solutions that redefine the future of intelligent engineering.

Professional Developmentย ๐Ÿ—๏ธ๐Ÿ“Š

Dr.Luo Liang is dedicated to advancing intelligent construction through AI and digital modeling. His Ph.D. research focuses on integrating AI-driven maintenance strategies for bridge structures, leveraging big data analytics, IoT sensing, and structural health monitoring. Luoโ€™s expertise extends to high-performance structural connections, enhancing infrastructure resilience. He has hands-on experience with simulation tools like Abaqus, ANSYS, and Midas Civil, as well as programming languages such as Python and MATLAB. Additionally, he actively contributes to national research projects, optimizing AI-driven decision-making in civil engineering. His work bridges the gap between traditional structural engineering and emerging intelligent technologies. ๐Ÿš€๐Ÿ“ก

Research Focusย ๐Ÿ”๐Ÿง 

Dr.Luo Liangย  specializes in Intelligent Construction & Bridge Engineering, integrating AI-driven decision-making into infrastructure maintenance. His research revolves around:

  • Sustainable Bridge Assessmentย ๐ŸŒย โ€“ AI-powered maintenance strategies
  • Smart Infrastructure Monitoringย ๐Ÿ“กย โ€“ IoT-based predictive analytics
  • Structural Health Diagnosisย ๐Ÿ—๏ธย โ€“ Digital modeling & 3D reconstruction
  • High-Performance Structural Connectionsย ๐Ÿ”ฉย โ€“ Experimental studies & simulations
  • Lifecycle Structural Analysisย ๐Ÿ”„ย โ€“ Failure probability & serviceability evaluations
    His work aims to improve infrastructure safety, sustainability, and efficiency through advanced computational models and intelligent monitoring technologies.ย ๐Ÿ—๏ธ๐Ÿ”ฌ

Awards & Honorsย ๐Ÿ†๐ŸŽ–๏ธ

  • National Ph.D. Scholarship & Inspirational Scholarshipย ๐ŸŽ“๐Ÿ…
  • Outstanding Graduate & Excellent Party Memberย ๐Ÿ…๐Ÿ”ด
  • Top 3 in University Bridge Design Competitionย ๐ŸŒ‰๐Ÿฅˆ
  • Outstanding Student Leader & Three-Good Student Awardย ๐Ÿ“š๐Ÿ†
  • Reviewer for SCI-indexed Journalsย ๐Ÿ“–๐Ÿ”ย โ€“ Conducts annual peer reviews for top research publications

Publication Top Notes

  • “Exploration of the behavior and evolution features of beam-column joints with T-stub using the structural strain energy method”ย (2024)
  • “Experimental study and analytical modeling of tensile performance of ultra-high-performance concrete incorporating modified recycled aggregates”ย (2024)
  • “Experimental study and theoretical prediction of axial compression behavior in PMC-reinforced CFST columns with void defects”ย (2024)
  • “The treated recycled aggregates effects on workability, mechanical properties and microstructure of ultra-high performance concrete co-reinforced with nano-silica and steel fibers”ย (2024)
  • “Seismic behavior of reduced beam section joints considering concrete floor effect”ย (2024)
  • “Evolution characteristics and performance evaluation of extended end-plate joints with single and double side connections under cyclic loading”ย (2024)

 

Neda Goodarzi | Model Updating | Best Scholar Award

Neda Goodarzi | Model Updating | Best Scholar Award

Ms. Neda Goodarzi , Best Scholar Award , Iran.

Short Biographyย ๐Ÿ“œ

Ms.Neda Goodarzi ๐ŸŽ“ย is a dedicated civil engineer specializing in structural health monitoring and model updating. She holds a Ph.D. from Universiti Putra Malaysiaย ๐Ÿ‡ฒ๐Ÿ‡พย and an MSc from Khaje Nasir Universityย ๐Ÿ‡ฎ๐Ÿ‡ท. With experience as a software instructor, supervisor, and tour leader, she excels in engineering, education, and multilingual communication. Proficient in ETABS, MATLAB, and ABAQUS, she has participated in national engineering competitionsย ๐Ÿ—๏ธย and published Q1 research papersย ๐Ÿ“–. Known for her patience, intelligence, and determination, she is a passionate academic and professional.

Publication Profile

Google Scholar

Education & Experienceย ๐ŸŽ“๐Ÿ‘ท

๐Ÿ“Œย Education:
  • ๐ŸŽ“ย Ph.D.ย in Structural Civil Engineering โ€“ Model Updating (UPM, Malaysia, 2020โ€“2024)
  • ๐ŸŽ“ย MScย in Structural Civil Engineering โ€“ Health Monitoring (Khaje Nasir, Iran, 2016โ€“2018)
  • ๐ŸŽ“ย BScย in Civil Engineering (Khaje Nasir, Iran, 2011โ€“2015)
  • ๐ŸŽ“ย Diplomaย in Mathematics (Imamat, Iran, 2008โ€“2011)
๐Ÿ“Œย Experience:
  • ๐Ÿ‘ฉโ€๐Ÿซย English Teacherย (English Institute, 2011โ€“2013)
  • ๐Ÿ’ปย Software Instructor (ETABS)ย (University, 2013โ€“2015)
  • ๐Ÿ—๏ธย Project Supervisorย (2015โ€“2017)
  • ๐ŸŒย English & Persian Tour Leaderย (2023โ€“2024/2025)
  • ๐Ÿซย English Teacher at Korean Kids Academyย (2024โ€“2025)

Summary Suitability

Dr. Neda Goodarzi, a distinguished recipient of theBest Researcher Award, has demonstrated exceptional academic and professional excellence, making her aย leading candidate for the Best Scholar Award. With a strong educational foundation, she has pursued advanced research inย health monitoring and model updating, contributing significantly to the industry through her innovative work atย University of Putra Malaysia (UPM). studies. Her research expertise includesย structural health monitoring, civil engineering model updating, and applied engineering software solutions (ETABS). She has effectively translated her academic knowledge into practical applications, supervising project implementations and teaching advanced engineering software.

Professional Development ๐Ÿ“ˆ๐Ÿ› ๏ธ

Ms.Neda Goodarzi is a skilled civil engineer with expertise in structural health monitoring and model updatingย ๐Ÿ—๏ธ. She is proficient inย ETABS, OpenSEES, SAP, ARTeMIS, AutoCAD, Tekla Structures, MATLAB, ABAQUS, and Ansysย ๐Ÿ’ป. A certified member of the Engineering Council, she has participated in steel and concrete structural workshopsย ๐Ÿข. She has attended nationalย engineering competitionsย ๐Ÿ†ย and has experience translatingย ISI research papersย ๐Ÿ“š. Fluent inย English, Malay, Spanish, and Arabic, she combinesย technical knowledge with strong communication skillsย ๐ŸŒ. Passionate about innovation, she continues to expand her expertise.

Research Focus ๐Ÿ”ฌ๐Ÿ“Š

Ms.Neda Goodarzi research interests lie in structural health monitoring, model updating, and innovative civil engineering techniquesย ๐Ÿ—๏ธ. She focuses onย enhancing the safety, durability, and resilience of structuresย by developing advanced computational modelsย ๐Ÿงฎ. Her work involvesย finite element analysis, data-driven decision-making, and real-time structural assessmentย ๐Ÿ“ก. She actively exploresย smart materials and sensor-based diagnosticsย to improve structural performance. Her interdisciplinary approach integratesย artificial intelligence with civil engineeringย ๐Ÿค–. Passionate about sustainable and earthquake-resistant structuresย ๐ŸŒ, she aims to bridge the gap betweenย theory and real-world applications.

Awards & Honors ๐Ÿ†๐ŸŽ–๏ธ

  • ๐Ÿฅ‡ย Top Bachelorโ€™s Studentย in Civil Engineering
  • ๐ŸŽ–๏ธย Direct Admission to MScย (Exceptional Talent)
  • ๐Ÿ…ย 19.5/20 in Masterโ€™s Thesis
  • ๐Ÿ“œย Q1 Research Publications
  • ๐Ÿ†ย National Engineering Competition Winner (Truss Bridge & Steel Bridge)
  • ๐Ÿ—๏ธย Participation in SCC Concrete National Competition (2019)
  • ๐Ÿ“–ย ISI Research Paper Translator

Publication Top Notes

  • “A Review of Health Monitoring and Model Updating of Vibration Dissipation Systems in Structures” by N. Godarzi and F. Hejazi was published in 2020 in Civil Engineering Journal, Vol. 6, No. 3, pp. 418-430.
  • As of now, it has been cited 10 times.ย ๐Ÿ“„๐Ÿ“Š๐Ÿ“…ย ย