Dr. Xue Zhong | Emerging Trends | Best Scholar Award

Dr. Xue Zhong | Emerging Trends | Best Scholar Award

Dr. Xue Zhong, South China University of Technology, China

Xue Zhong stands out as a pioneering scholar in landscape architecture and urban climate research. His work integrates multidisciplinary approaches, combining human geography, remote sensing, and AI technologies to address pressing issues in urban thermal environments. His innovative use of UAV-derived multimodal images and high-resolution satellite products marks a significant contribution to the field.

Professional Profile:

Google Scholar

Suitability for the Research for Best Researcher Award

Xue Zhong exemplifies excellence in research with his innovative contributions to landscape architecture and urban climate studies. His groundbreaking work integrates advanced remote sensing technologies and artificial intelligence to address urban thermal environments, showcasing a commitment to both academic rigor and practical impact. His research is not only multidisciplinary but also highly relevant to current environmental challenges.

Academic Background πŸ“š

Xue Zhong’s educational journey is marked by a strong foundation in various fields. As a Ph.D. candidate at South China University of Technology, he has achieved significant recognition for his work on urban micro-scale thermal environments. His studies include advanced coursework at Western University and a dual undergraduate background in Human Geography & Urban-Rural Planning and English Language and Literature. This diverse academic background underpins his innovative approach to research.

Professional Experience πŸ’Ό

Currently, Xue Zhong is a Ph.D. candidate actively involved in several high-impact research projects. His role in projects funded by prestigious organizations, such as the National Natural Science Foundation of China, highlights his ability to lead and contribute to complex research initiatives. His work as a core member in various research teams underscores his leadership and collaborative skills in advancing knowledge in his field.

Research Interests and Contributions πŸ”¬

Xue Zhong’s research interests are centered on leveraging UAV-derived multimodal images and AI technologies to study urban thermal environments. His work explores the integration of remote sensing and artificial intelligence to enhance the understanding and management of urban climates. This innovative approach positions him at the forefront of research in landscape architecture and urban planning, demonstrating his commitment to advancing both theoretical and practical knowledge.

Awards and Recognitions πŸ†

Xue Zhong has garnered notable awards and recognitions for his exceptional research and academic contributions. His work, which bridges multiple disciplines including landscape architecture, urban planning, and remote sensing, has earned him prestigious accolades from academic and research institutions.

Innovations and Impact πŸš€

Xue Zhong has made significant strides in integrating advanced technologies with urban climate research, showcasing a blend of innovation and practical application. His work, particularly in utilizing UAV-derived multimodal images for urban thermal environment evaluation, represents a pioneering approach in the field. By leveraging cutting-edge remote sensing technology and AI-driven analysis, Zhong has developed novel methodologies that offer deeper insights into urban heat islands and micro-scale thermal variations.

Publication Top Notes:

  1. β€œA thermal performance detection method for building envelope based on 3D model generated by UAV thermal imagery”
    Year: 2020
    Journal: Energies
  2. β€œEmpirical models on urban surface emissivity retrieval based on different spectral response functions: A field study”
    Year: 2021
    Journal: Building and Environment
  3. β€œInvestigating the micro-scale thermal effects of natural underlying surfaces on adjacent spaces in a subtropical zone with an optimized method”
    Year: 2022
    Journal: Building and Environment
  4. β€œMonitoring and diagnostics of buildings’ heat loss based on 3D IR model of multiple buildings”
    Year: 2022
    Journal: Energy and Buildings
  5. β€œInvestigating the effects of surface moisture content on thermal infrared emissivity of urban underlying surfaces”
    Year: 2022
    Journal: Construction and Building Materials
  6. β€œA retrieval method for land surface temperatures based on UAV broadband thermal infrared images via the three-dimensional look-up table”
    Year: 2022
    Journal: Building and Environment
  7. β€œAn improved model for emissivity retrieval of complex urban surfaces based on spectral indices from UAV”
    Year: 2022
    Journal: Sustainable Cities and Society

 

 

 

 

Dr. Xiao Tan | Engineering | Best Researcher Award

Dr. Xiao Tan : Engineering

Dr. Xiao Tan, Stevens Institute of Technology, United States

✨ Dr. Xiao Tan is a dedicated professional in the field of smart infrastructure, currently serving as a Research Associate at the Smart Infrastructure Lab at Stevens Institute of Technology from May 2023 to November 2023. In this role, Dr. Tan actively contributes to diverse research projects and excels in report writing. Previously, as the Lab Manager from September 2021 to April 2023, Dr. Tan efficiently oversaw lab operations, managing and maintaining equipment for experimental testing. With expertise in drafting comprehensive reports, Dr. Tan played a key role in various research endeavors. Beyond the lab, Dr. Tan demonstrated leadership by spearheading training sessions for students, conducting experiments, and offering engaging lab tours for visitors. πŸŒπŸ”¬

πŸŽ“Education : 

πŸ“š Dr. Xiao Tan is a distinguished scholar in the realm of civil engineering with a specialization in structural engineering. Holding a Ph.D. in Civil Engineering (Structural Engineering) from Stevens Institute of Technology, Hoboken, New Jersey, United States (08/2019–05/2023), Dr. Tan achieved an outstanding GPA of 4.0/4.0 under the guidance of Prof. Yi Bao. Prior to this, Dr. Tan earned a Master’s degree in Civil Engineering (Bridge & Tunnel Engineering) from Southeast University, Nanjing, Jiangsu, China (09/2016–06/2019) with a commendable GPA of 3.8/4.0, working closely with Prof. Wen-Wei Wang. With a passion for advancing the field, Dr. Tan’s academic journey reflects a commitment to excellence in structural engineering. πŸ—οΈπŸ“š

🌐 Professional Profiles : 

Scopus

Google Scholar

ORCID

πŸ† Awards and Honors :

🌍 Dr. Xiao Tan’s academic prowess is underscored by a string of prestigious honors and awards, attesting to a remarkable dedication to research and excellence. In May 2023, Dr. Tan was bestowed with the esteemed Richard I. Hires Research Award at Stevens Institute of Technology, a recognition that underscores the impact of Dr. Tan’s contributions to the research landscape. Further highlighting scholarly achievements, Dr. Tan received the Graduate Research Assistant Fellowship at Stevens Institute of Technology for the period spanning from September 2022 to April 2023. Notably, Dr. Tan was also honored with the Chinese Government Award for Outstanding Self-Financed Students Abroad from the China Scholarship Council in August 2022, a testament to international acclaim for academic achievement. These accolades reflect Dr. Tan’s commitment to advancing knowledge in civil engineering and structural engineering. πŸ†πŸŒ

🧠 Research Interests πŸ”¬πŸŒ :

🧠 Dr. Xiao Tan is a visionary researcher with a diverse set of interests at the intersection of civil engineering and cutting-edge technology. His primary focus lies in the realm of Intelligent and Resilient Urban Lifelines, where he strives to advance the prevention and mitigation of impacts on the safety and functionality of pipelines, ensuring the robustness of vital urban infrastructure. πŸ”¬ Leveraging state-of-the-art technology, Dr. Tan delves into the realm of Distributed Fiber Optic Sensors, pioneering the monitoring and assessment of infrastructural behaviors. In the realm of Bridge Engineering, he passionately contributes to the health monitoring and structural retrofits, enriching our understanding of bridge dynamics. πŸŒ‰ Driven by innovation, Dr. Tan’s research extends to Structural Applications of Advanced Materials in Civil Infrastructures, where he engages in simulation, mechanical analysis, and experimental testing for high-performance Fiber-Reinforced Cementitious Composites (HPFRCC), Fiber Reinforced Polymer (FRP), and Shape Memory Alloy (SMA). His multifaceted research portfolio reflects a commitment to advancing the resilience and intelligence of critical urban infrastructure. 🌐

πŸ“š Publication Impact and Citations : 

Scopus Metrics:

  • πŸ“ Publications: 16 documents indexed in Scopus.
  • πŸ“Š Citations: A total of 337 citations for his publications, reflecting the widespread impact and recognition of Dr. Xiao Tan’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 386 πŸ“–
    • h-index: 10 πŸ“Š
    • i10-index: 11 πŸ”
  • Since 2018:
    • Citations: 386 πŸ“–
    • h-index: 10 πŸ“Š
    • i10-index: 11 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publications ( Top Note ) :

1.  Measurement and visualization of strains and cracks in CFRP post-tensioned fiber reinforced concrete beams using distributed fiber optic sensors

Published Year: 2021, Journal: Automation in Construction, Cited By: 67

2.  Measuring crack width using a distributed fiber optic sensor based on optical frequency domain reflectometry

Published Year: 2021, Journal: Measurement, Cited By: 52

3.  Strain transfer effect in distributed fiber optic sensors under an arbitrary field

Published Year: 2021, Journal: Automation in Construction, Cited By: 51

4.  Monitoring corrosion of steel bars in reinforced concrete based on helix strains measured from a distributed fiber optic sensor

Published Year: 2020, Journal: Engineering Structures, Cited By: 51

5.  Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors

Published Year: 2021, Journal: Automation in Construction, Cited By: 38

6.  Strain transfer effect on measurements with distributed fiber optic sensors

Published Year: 2022, Journal: Automation in Construction, Cited By: 25

7.  Experimental study and mechanics model of ECC-to-concrete bond interface under tensile loading

Published Year: 2022, Journal: Composite Structures, Cited By: 21

8.  Recycling waste glass aggregate in concrete: Mitigation of alkali-silica reaction (ASR) by carbonation curing

Published Year: 2022, Journal: Journal of Cleaner Production, Cited By: 15

9.  Inverse analysis of strain distributions sensed by distributed fiber optic sensors subject to strain transfer

Published Year: 2022, Journal: Mechanical Systems and Signal Processing, Cited By: 15

10.  Buckling detection and shape reconstruction using strain distributions measured from a distributed fiber optic sensor

Published Year: 2022, Journal: Measurement, Cited By: 14