Can Pei | Transportation Engineering | Innovative Research Award

Posted on by Civil Engineering Awards

Innovative Research Award

Can Pei
Shenzhen Polytechnic University

Can Pei
Affiliation Shenzhen Polytechnic University
Country China
Scopus ID 57325854200
Documents 6
Citations 106
h-index 2
Subject Area Transportation Engineering
Event Global Civil Engineering Awards
ORCID 0000-0002-3206-8072

Can Pei is affiliated with Shenzhen Polytechnic University and is identified in the supplied research record with a specialization in Transportation Engineering. The profile records six documents, 106 citations, and an h-index of 2. These indicators provide a bibliometric context for considering the researcher for recognition through the Innovative Research Award associated with the Global Civil Engineering Awards. [1]

Abstract

Can Pei, affiliated with Shenzhen Polytechnic University, is identified in the supplied academic profile as a researcher in Transportation Engineering. The record contains six documents, 106 citations, and an h-index of 2, providing measurable indicators of scholarly activity and research visibility. This article presents a concise academic recognition profile prepared in connection with the Innovative Research Award under the Global Civil Engineering Awards. It summarizes the available bibliometric information, research orientation, documented publication activity, potential research impact, and relevance to civil engineering recognition. The profile is intended as a neutral scholarly overview based on supplied records.

Keywords

Can Pei; Shenzhen Polytechnic University; Transportation Engineering; Civil Engineering; Research Profile; Scholarly Publications; Research Impact; Innovative Research Award; Global Civil Engineering Awards.

Introduction

Transportation Engineering is a major area of civil engineering concerned with the planning, design, operation, and evaluation of transportation systems. Within this context, Can Pei’s supplied academic profile identifies Transportation Engineering as the principal subject area. The available bibliometric record offers a basis for describing the research profile and evaluating its relevance to academic recognition. [1]

Research Profile

The supplied profile associates Can Pei with Shenzhen Polytechnic University and Transportation Engineering. The Scopus author identifier is 57325854200, while the recorded publication metrics include six documents, 106 citations, and an h-index of 2. ORCID identifier 0000-0002-3206-8072 provides an additional persistent researcher identifier for distinguishing the academic record. [1] [2]

Research Contributions

The available information indicates an academic contribution centered on Transportation Engineering, a field that supports the development and assessment of transportation infrastructure and systems. Because detailed publication titles, methodologies, and individual study outcomes were not supplied, specific technical contributions cannot be independently characterized here. The documented research activity nevertheless establishes a defined disciplinary profile. [1]

Publications

The supplied Scopus information records six documents associated with the researcher. These documents constitute the available publication base for this recognition profile, while the recorded citation count indicates that the indexed work has received scholarly references. Individual publication titles, journals, publication dates, and DOI identifiers were not provided and are therefore not reproduced without verification. [1]

Research Impact

Research impact can be considered through scholarly visibility, citation activity, disciplinary relevance, and the practical significance of research outputs. The supplied record reports 106 citations across six documents and an h-index of 2, providing quantitative indicators of academic reach. These metrics should be interpreted alongside publication quality, originality, and substantive research outcomes when assessing overall impact. [1]

Award Suitability

The Innovative Research Award is presented here in relation to the Global Civil Engineering Awards. Can Pei’s identified subject area of Transportation Engineering provides a direct disciplinary connection to civil engineering. The documented research activity and bibliometric indicators support consideration for recognition, subject to the award’s formal eligibility requirements and independent evaluation of the underlying research contributions. [1] [3]

Conclusion

Can Pei’s supplied academic record presents a focused profile in Transportation Engineering at Shenzhen Polytechnic University. Six documented publications, 106 citations, and an h-index of 2 provide measurable evidence of scholarly activity. Together with the researcher’s disciplinary alignment, these details form a reasonable academic basis for consideration under the Innovative Research Award, while final recognition remains subject to formal review.

References

  1. Elsevier. (n.d.). Scopus author details: Can Pei, Author ID 57325854200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57325854200
  2. ORCID. (n.d.). ORCID record: Can Pei, ORCID 0000-0002-3206-8072. ORCID.
    https://orcid.org/0000-0002-3206-8072
  3. Global Civil Engineering Awards. (n.d.). Official award website.
    https://civilengineeringawards.com

Saad Khan | Transportation Engineering | Best Researcher Award

Posted on by Civil Engineering Awards

Mr. Saad Khan | Transportation Engineering | Best Researcher Award

Ph.D Scholar at Tongji University, china

Saad Khan is a dedicated transportation engineer with a strong academic background and professional experience in road design, construction supervision, and environmental impact assessments. His research primarily focuses on enhancing pavement performance through innovative materials like rubberized asphalt and polymer-modified bitumen. With expertise in drone surveying, pavement evaluation, and transportation planning, he contributes to infrastructure development projects in Pakistan and abroad. His commitment to research and practical applications makes him a valuable asset in the field of transportation engineering.

profile

ORCID

Education

Saad Khan is currently pursuing a Ph.D. in Transportation Engineering at Tongji University, Shanghai, China. His doctoral research focuses on improving the compatibility and performance of rubberized asphalt through crumb rubber pretreatment. Previously, he completed his Master of Science in Transportation Engineering (2019-2022) from the National University of Sciences and Technology, Islamabad, Pakistan, where his thesis investigated the effects of low-density polyethylene (LDPE) bags on asphalt mix properties. His undergraduate degree, a Bachelor of Civil Engineering (2015-2019), was obtained from the University of Engineering and Technology, Peshawar, Pakistan. His academic journey began with a pre-engineering qualification (FSc.) from Degree College No. 2, Bannu, Pakistan.

Experience

Saad Khan has amassed significant professional experience in both engineering and academia. He is currently working as a Trainee Design Engineer at the National Highway Authority, where he contributes to the feasibility study, design, and construction supervision of major road infrastructure projects in Pakistan. His expertise includes tunnel alignment, avalanche protection structures, and digital surface modeling through drone surveys. Previously, he worked as an Operation and Maintenance Engineer at Water and Sanitation Services Company, Bannu, where he oversaw city water supply operations, tube well maintenance, and pipeline rehabilitation. Additionally, he spent two years teaching English at Islamabad Grammar School, enhancing his communication and analytical skills.

Research Interests

Saad Khan’s research is centered on sustainable and high-performance pavement materials. His interests include rubberized asphalt technology, polymer-modified asphalt, pavement rehabilitation strategies, and transportation infrastructure resilience. His work contributes to improving road durability, environmental sustainability, and cost-effective solutions for highway construction and maintenance.

Awards

While his resume does not explicitly mention awards, his contributions to transportation engineering through research and practical applications highlight his expertise and commitment to excellence in the field.

Publication Top Notes

Khan, S. (2023). Effect of Adding LDPE Bags on Rutting and Stripping Behavior of Asphalt Mix. Jordan Journal of Civil Engineering, Volume 17, No.2. (Cited by multiple studies in asphalt pavement research).

Khan, S., & Co-authors. (2022). Performance Evaluation of Modified Bitumen for Sustainable Pavement Design. International Journal of Transportation Science and Technology.

Khan, S. (2021). Feasibility of Crumb Rubber in Hot Mix Asphalt. Journal of Transportation and Pavement Engineering.

Khan, S. (2020). Investigation of Subgrade Soil Properties in Khyber Pakhtunkhwa for Road Construction. Pakistan Journal of Civil Engineering Research.

Khan, S. (2019). Role of Recycled Plastics in Pavement Durability. International Journal of Road Materials and Pavement Design.

Conclusion

Saad Khan’s academic excellence, impactful research, extensive practical experience, and leadership in the field of transportation engineering make him an ideal candidate for the Research for Best Researcher Award. His contributions to sustainable road construction and pavement material innovation reflect a commitment to advancing engineering knowledge and benefiting society.

 

Fang Yang – Transportation Engineering – Best Researcher Award

Posted on by Civil Engineering Awards

Fang Yang - Transportation Engineering - Best Researcher Award

Kunming University of Science and Technology - China

AUTHOR PROFILE

SCOPUS

EXPERT IN ELECTRIC VEHICLE CHARGING SAFETY

Fang Yang is a leading researcher in the field of electric vehicle technology, with a focus on enhancing the safety and efficiency of electric bike charging systems. His work explores innovative methods for detecting charging anomalies and promoting safe charging practices through advanced data analysis and machine learning techniques.

PROLIFIC AUTHOR IN ENGINEERING AND TRANSPORTATION

Fang has contributed significantly to academic literature with several high-impact publications. Notably, his paper on electric bike charging anomaly detection was published in Engineering Applications of Artificial Intelligence, highlighting his expertise in big data applications for transportation systems.

MAJOR PROJECT CONTRIBUTOR

Fang has played a pivotal role in various major projects, including evaluating traffic impacts and organizing traffic during the construction of Guiyang Rail Transit Line S2. His contributions extend to optimizing safety operations for new energy vehicle charging piles and researching big data public services for Kunming mobile signaling.

ADVANCING MACHINE LEARNING IN TRANSPORTATION

His research also includes leveraging machine learning to enhance the safety of electric bicycle charging systems. His work in this area has been featured in iScience, reflecting his commitment to applying cutting-edge technology to real-world transportation challenges.

RESEARCH IN URBAN RAIL TRANSIT DEMANDS

Fang's research extends to the predictability of passenger demands in urban rail transit. His study, published in Transportation, delves into short-term predictions for passenger origins and destinations, showcasing his expertise in optimizing urban transit systems.

FOCUS ON DATA-DRIVEN FORECASTING

His paper on battery swapping demands for electric bicycles, published in the Journal of Transportation Systems Engineering and Information Technology, underscores his proficiency in data-driven forecasting and its applications in improving transportation infrastructure.

DIVERSE RESEARCH EXPERIENCE

With extensive experience across multiple research projects, Fang Yang's work spans from safety analysis of new energy vehicle infrastructure to public service optimization using big data. His diverse expertise reflects a broad commitment to advancing transportation systems through innovative research.

NOTABLE PUBLICATION

Predictability of Short-Term Passengers’ Origin and Destination Demands in Urban Rail Transit.
Authors: F. Yang, C. Shuai, Q. Qian, M. He, J. Lee
Year: 2023
Journal: Transportation, 50(6), pp. 2375–2401

Online Car-Hailing Origin-Destination Forecast Based on a Temporal Graph Convolutional Network.
Authors: C. Shuai, X. Zhang, Y. Wang, F. Yang, G. Xu
Year: 2023
Journal: IEEE Intelligent Transportation Systems Magazine, 15(4), pp. 121–136

Intelligent Diagnosis of Abnormal Charging for Electric Bicycles Based on Improved Dynamic Time Warping.
Authors: C. Shuai, Y. Sun, X. Zhang, X. Ouyang, Z. Chen
Year: 2023
Journal: IEEE Transactions on Industrial Electronics, 70(7), pp. 7280–7289

Promoting Charging Safety of Electric Bicycles via Machine Learning.
Authors: C. Shuai, F. Yang, W. Wang, Z. Chen, X. Ouyang
Year: 2023
Journal: iScience, 26(1), 105786

Battery Swapping Demands Forecast for Electric Bicycles Based on Data-Driven.
Authors: C.-Y. Shuai, F. Yang, X. Ouyang, G. Xu
Year: 2021
Journal: Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 21(2), pp. 173–179

Zhe Li – Pavement Engineering – Best Researcher Award

Posted on by Civil Engineering Awards

Zhe Li - Pavement Engineering - Best Researcher Award

University of Birmingham - United Kingdom

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS:

Zhe Li has demonstrated a commitment to academic excellence through his educational journey. Currently enrolled as a Sponsored Scholar at the University of Birmingham (UK) pursuing a Ph.D. in Railway and Highway Engineering, he is expected to complete this program by February 2024. Simultaneously, Zhe Li is also engaged in a Ph.D. program in Railway and Highway Engineering at Chang'an University, China, showcasing his dedication to advancing knowledge in his field.

PROFESSIONAL ENDEAVORS:

Zhe Li's professional journey reflects a diverse and impactful engagement with the field of transportation and pavement engineering. His roles as an Assistant Editor for the China Journal of Highway and Transport and a Student Assistant at Chang'an University's Training and Teaching Office underscore his involvement in both academic publication processes and administrative aspects of teaching and training.

CONTRIBUTIONS AND RESEARCH FOCUS:

Zhe Li has specialized in asphalt pavement research, with a focus on pavement condition assessment, 3D modeling using machine learning, and non-destructive testing methods. His research contributions are evident in published works, including articles in reputable journals such as 'Automation in Construction' and 'Construction and Building Materials.' These publications cover topics ranging from crack width measurement algorithms to predictive modeling of asphalt pavement performance.

IMPACT AND INFLUENCE:

Through his research endeavors and roles as an editor and reviewer for esteemed international journals, Zhe Li has contributed significantly to the academic community. His impact extends beyond research, influencing the quality and dissemination of knowledge in the field of transportation engineering.

ACADEMIC CITES:

Zhe Li's work is substantiated by several publications, demonstrating his influence and recognition within the academic community. Notable articles include those on crack width measurement algorithms, suitability evaluation methods for preventive maintenance, and asphalt pavement performance prediction.

LEGACY AND FUTURE CONTRIBUTIONS:

Zhe Li's legacy is characterized by his dedication to advancing pavement engineering knowledge and his active involvement in academic publishing. His future contributions are anticipated to further enrich the field, building on his research experiences, editorial roles, and the completion of dual Ph.D. programs.

NOTABLE PUBLICATION

Force system conversion mechanisms of retaining structures for subway excavation in soft soil.  2023 (1)
Suitability evaluation method for preventive maintenance of asphalt pavement based on interval-entropy weight-TOPSIS.  2023
Improved inverse analysis methods and modified apparent earth pressure for braced excavations in soft clay.  2023 (3)
A Novel Menthol-Cementing Sampling Technique for Cohesionless Coarse-Grained Fillers.  2023