Safaa Najah Saud Al-humairi | Design of Experiments | Editorial Board Member

Published on by Statistics

Editorial Board Member

Safaa Najah Saud Al-humairi,
Management and Science University.

Safaa Najah Saud Al-humairi is a researcher affiliated with Management and Science University, Malaysia. Her stated research subject area is nanotechnology. Her scholarly profile reports 3,108 citations, an h-index of 32, and an i10-index of 73, according to the supplied profile information. [1]

Safaa Najah Saud Al-humairi
Affiliation Management and Science University
Country Malaysia
Citations 3,108
h-index 32
i10-index 73
Subject Area Nanotechnology
Event World Statistics Award

Abstract

This article presents the academic profile of Safaa Najah Saud Al-humairi, affiliated with Management and Science University in Malaysia. The supplied information identifies nanotechnology as her subject area and reports 3,108 citations, an h-index of 32, and an i10-index of 73. These indicators provide a bibliometric overview, subject to verification against the original scholarly profile. [1]

Keywords

Safaa Najah Saud Al-humairi, nanotechnology, research profile, bibliometrics, citation analysis, h-index, i10-index, scholarly publications, academic recognition, Management and Science University, Malaysia, World Statistics Award. [1]

Introduction

Safaa Najah Saud Al-humairi is presented as a researcher affiliated with Management and Science University in Malaysia, with nanotechnology identified as her subject area. Her scholarly profile provides a basis for examining research visibility through citation indicators. This article summarizes the supplied information while distinguishing reported metrics from independently verified academic records. [1]

Research Profile

The supplied profile associates Safaa Najah Saud Al-humairi with Management and Science University and identifies nanotechnology as her research subject. Reported bibliometric indicators include 3,108 citations, an h-index of 32, and an i10-index of 73. These figures describe citation activity but do not independently establish publication quality, research methods, or individual contributions. [1]

Research Contributions

Nanotechnology encompasses research involving materials and systems at very small scales, with applications across multiple scientific and technological fields. The supplied profile identifies this broad subject area but does not specify individual studies, methods, or discoveries attributable to the researcher. Specific contributions should therefore be described using verified publications, abstracts, and documented research findings. [1]

Publications

The researcher’s Google Scholar profile provides a starting point for reviewing indexed scholarly publications, co-authorship, and citation activity. However, a complete publication list, article titles, journal details, publication dates, and DOI identifiers were not included in the supplied information. Individual publications should be checked against their original publisher records before being listed or cited as evidence of research output. [1]

Research Impact

The supplied bibliometric figures report 3,108 citations, an h-index of 32, and an i10-index of 73. Citations can indicate that scholarly work has been referenced by other publications, while the h-index reflects publication and citation performance together. These indicators vary by database and date and should be interpreted alongside research quality, field norms, and documented contributions. [1]

Award Suitability

The World Statistics Award provides the stated recognition context for this academic profile. The researcher’s reported citation indicators may serve as supporting information during an assessment, but they do not alone establish eligibility or award merit. A fair evaluation should consider verified publications, methodological rigor, relevance to the award criteria, documented contributions, and the accuracy of the submitted academic record. [1] [2]

Conclusion

Safaa Najah Saud Al-humairi’s supplied academic profile identifies an affiliation with Management and Science University in Malaysia and a subject area of nanotechnology. Reported citation indicators offer an initial view of scholarly visibility. Further assessment requires verification of publication records, research contributions, institutional details, and alignment with the World Statistics Award’s published recognition criteria. [1] [2]

References

  1. Google Scholar. (n.d.). Scholar profile: Safaa Najah Saud Al-humairi. Profile and bibliometric information supplied for this article. Retrieved October 21, 2026.

    https://scholar.google.com/citations?user=k3ISRbcAAAAJ&hl=en&oi=ao

  2. Saud, S. N., Hamzah, E., Abubakar, T., Bakhsheshi-Rad, H. R., Yusop, M. Z., & Tanemura, M. (2014). Effects of Mn additions on the structure, mechanical properties, and corrosion behavior of Cu-Al-Ni shape memory alloys. Journal of Materials Engineering and Performance.

    https://doi.org/10.1007/s11665-014-1134-1

  3. Wahid, M. A., Hosseini, S. E., Hussen, H. M., Akeiber, H. J., Saud, S. N., & Mohammad, A. T. (2017). An overview of phase change materials for construction architecture thermal management in hot and dry climate region.

    https://doi.org/10.1016/j.applthermaleng.2016.07.032

Yung Ming Cheng | Statistical Applications in Engineering | Innovative Research Award

Published on by Statistics

Innovative Research Award

Yung Ming Cheng,
University of Hong Kong.

Yung Ming Cheng
Affiliation University of Hong Kong
Country Hong Kong
Scopus ID 56036410000
Documents 150
Citations 5,532
h-index 37
Subject Area Civil Engineering
Event World Statistics Awards

Yung Ming Cheng is affiliated with the University of Hong Kong and is identified in the supplied Scopus information with 150 documents, 5,532 citations, and an h-index of 37. His stated subject area is Civil Engineering, providing the academic context for this recognition under the Innovative Research Award category. [1]

Abstract

This academic recognition profile presents Yung Ming Cheng of the University of Hong Kong in connection with the Innovative Research Award. The supplied bibliometric information records 150 documents, 5,532 citations, and an h-index of 37 within Civil Engineering. The profile summarizes research activity, scholarly output, impact indicators, and award suitability. [1]

Keywords

Yung Ming Cheng; University of Hong Kong; Civil Engineering; Innovative Research Award; World Statistics Awards; Scopus; research publications; scholarly impact; citations; h-index. [1]

Introduction

Yung Ming Cheng is presented as a researcher affiliated with the University of Hong Kong, with Civil Engineering identified as the principal subject area in the supplied profile. His academic record includes 150 documents and substantial citation activity, providing measurable indicators for evaluating research productivity and influence within an international scholarly context. [3]

Research Profile

The supplied profile identifies Cheng with the University of Hong Kong and Civil Engineering as his subject area. Scopus records associated with author ID 56036410000 indicate 150 documents, 5,532 citations, and an h-index of 37. These indicators describe a substantial body of indexed scholarly output and citation-based research visibility. [2]

Research Contributions

Within the information supplied, Cheng’s research contributions are situated broadly within Civil Engineering. The available bibliometric indicators demonstrate sustained scholarly production, while the document and citation counts provide quantitative evidence of research dissemination. Specific technical contributions, research themes, methodologies, and individual study findings require verification against the underlying publications. [2]

Publications

The supplied Scopus information reports 150 documents associated with the researcher profile. This figure indicates a substantial indexed publication record, although individual article titles, journals, publication years, and DOI identifiers were not provided in the input data. Consequently, specific publications are not attributed here without independent bibliographic verification. [1]

Research Impact

The supplied bibliometric indicators show 5,532 citations and an h-index of 37 for the Scopus author record. These measures provide quantitative indicators of scholarly visibility and citation reach. They should be interpreted alongside publication quality, disciplinary context, authorship, collaboration, and individual research contributions when assessing broader academic impact. [2]

Award Suitability

The available information provides several measurable indicators relevant to an academic recognition assessment, including 150 documents, 5,532 citations, and an h-index of 37. His Civil Engineering affiliation establishes a defined research domain. Final award suitability should additionally consider verified publications, originality, research significance, and the specific evaluation criteria applied by World Statistics Awards. [2] [4]

Conclusion

Yung Ming Cheng’s supplied academic profile reflects an established research record associated with the University of Hong Kong and Civil Engineering. The reported 150 documents, 5,532 citations, and h-index of 37 provide useful bibliometric evidence for scholarly assessment. Further evaluation should incorporate verified publications, research originality, significance, and documented contributions. [1]

References

  1. Zhu, W.-Q., Zhao, S.-L., Han, H., Liu, L.-L., Zhang, W.-G., Zhang, S.-H., & Cheng, Y.-M. (2025). Reliability analysis and design of soil slopes considering spatial variability under rainfall infiltration. Earth Surface Processes and Landforms.

    https://doi.org/10.1002/esp.6057

  2. Huang, L., Liu, L.-L., & Cheng, Y.-M. (2024). Influence of a firm stratum on probabilistic slope stability analyses with spatially variable undrained soil strength. Computers and Geotechnics.

    https://doi.org/10.1016/j.compgeo.2024.106782

  3. Cheng, Y.-M., & Law, C. W. (2024). Design and construction of buildings and foundations with illustrative examples. Bentham Science Publishers.

    https://doi.org/10.2174/97898152380061240101

  4. Wang, C., Li, L., Kou, H., Cheng, Y., & Meng, D. (2024). Rainfall induced slope reliability analysis using radial degraded random fields. Geotechnical and Geological Engineering.

    https://doi.org/10.1007/s10706-024-02905-2

Jonghoek Kim | Statistical Applications in Engineering | Innovative Research Award

Published on by Statistics

Innovative Research Award

Jonghoek Kim
Affiliation Sejong University
Country South Korea
Scopus ID 34872607400
Documents 138
Citations 1,157
h-index 19
Subject Area Statistics
Event World Statistics Awards
ORCID 0000-0001-7565-068X

Jonghoek Kim,
Sejong University.

Jonghoek Kim of Sejong University, South Korea, is presented in this academic recognition profile in connection with the Innovative Research Award under the World Statistics Awards. The profile summarizes the supplied bibliometric indicators, research orientation, scholarly contributions, publication activity, and potential suitability for recognition in statistics. [1]

Abstract

This academic profile documents Jonghoek Kim’s research standing at Sejong University within the field of Statistics. The supplied record identifies 138 documents, 1,157 citations, and an h-index of 19. The profile considers scholarly contributions, publication activity, research impact, and alignment with the Innovative Research Award. [1]

Keywords

  • Jonghoek Kim
  • Statistics
  • Statistical Research
  • Innovative Research
  • Research Impact
  • Sejong University
  • World Statistics Awards

Introduction

Jonghoek Kim is affiliated with Sejong University in South Korea and is identified with the academic field of Statistics. His scholarly profile is characterized by a substantial indexed publication record and measurable citation activity. The Innovative Research Award recognizes research development, methodological contribution, and sustained academic engagement in statistics. [1]

Research Profile

The supplied research profile records Jonghoek Kim with 138 documents, 1,157 citations, and an h-index of 19. These indicators provide bibliometric evidence of continuing scholarly productivity and citation visibility. His institutional affiliation with Sejong University and subject classification in Statistics establish the principal academic context for this recognition profile. [1]

Research Contributions

Kim’s documented scholarly record indicates sustained contributions within statistics and related quantitative research. His publication volume and citation record suggest engagement with research questions requiring systematic statistical analysis and evidence-based interpretation. Assessment of specific methodological innovations should rely on individual publications, datasets, and peer-reviewed findings rather than bibliometric indicators alone. [1]

Publications

Jonghoek Kim’s supplied Scopus record contains 138 indexed documents, indicating an established publication history. Individual article titles, journals, publication years, and DOI identifiers were not supplied with the profile data; therefore, specific publication claims and DOI assignments are not inferred here. Bibliographic verification should be performed against authoritative publication records. [1]

Research Impact

The reported citation count of 1,157 and h-index of 19 provide quantitative indicators of the visibility and scholarly influence associated with Kim’s indexed research. Such measures can support an assessment of research impact, while interpretation should also consider field differences, publication age, collaboration patterns, and the substantive significance of individual studies. [1]

Award Suitability

Based on the supplied profile, Kim appears academically aligned with an Innovative Research Award focused on Statistics, particularly because of his documented publication activity, citation record, and sustained research engagement. Final award suitability should be determined through formal evaluation of research originality, methodological quality, publications, broader impact, and the applicable award criteria. [1] [4]

Conclusion

Jonghoek Kim’s supplied academic indicators describe an established researcher associated with Sejong University and the field of Statistics. His 138 documents, 1,157 citations, and h-index of 19 provide measurable evidence of scholarly activity and visibility. These indicators support consideration for recognition, subject to comprehensive review of research quality and originality. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Jonghoek Kim, Author ID 34872607400. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=34872607400

  2. ORCID. (n.d.). Jonghoek Kim — ORCID record. ORCID.

    https://orcid.org/0000-0001-7565-068X

  3. Google Scholar. (n.d.). Jonghoek Kim — Google Scholar profile.

    https://scholar.google.com/citations?user=0t1uQMgAAAAJ&hl=en&oi=ao

  4. World Statistics Awards. (n.d.). World Statistics Awards.

    https://statisticsaward.com/

Dai Chu | Statistical Applications in Engineering | Best Researcher Award

Published on by Statistics

Best Researcher Award

Dai Chu,
Huazhong University of Science and Technology.

Dai Chu
Affiliation Huazhong University of Science and Technology
Country China
Scopus ID 57226126803
Documents 7
Citations 33
h-index 3
Subject Area Robotics, Autonomous Systems and Bio-inspired Motion Planning
Event World Statistics Awards

Dai Chu is a researcher at Huazhong University of Science and Technology, China, working across robotics, human motion analysis, and bio-inspired robotic systems. His research addresses mechanisms for understanding and reproducing human hand movements, contributing to the development of dexterous robotic technologies and human-machine interaction approaches through interdisciplinary engineering research. [1]

Abstract

Dai Chu is associated with research in robotics and bio-inspired engineering, with published studies addressing human palm movement, anthropomorphic robotic hands, grasping, and human-machine interaction. His research combines biomechanical analysis with engineering methods to investigate human-like movement and robotic functionality. Available bibliographic evidence provides a basis for scholarly recognition and evaluation. [1] [2]

Keywords

Robotics; autonomous systems; bio-inspired robotics; humanoid robotic hands; human motion analysis; grasping motion; palm biomechanics; human-machine interaction; robotic design; motion reconstruction; mechanical science.

Introduction

Dai Chu is a researcher at Huazhong University of Science and Technology, China, working across robotics, human motion analysis, and bio-inspired robotic systems. His research addresses mechanisms for understanding and reproducing human hand movements, contributing to the development of dexterous robotic technologies and human-machine interaction approaches through interdisciplinary engineering research. [1]

Research Profile

Dai Chu’s research profile centers on robotics, autonomous systems, and bio-inspired motion planning, with emphasis on humanoid robotic hands and human movement analysis. Indexed work associates him with the School of Mechanical Science and Engineering at Huazhong University of Science and Technology, where he pursues doctoral work in mechanical science. [2] [3]

Research Contributions

Chu has contributed to studies of human palm morphology, hand-motion decomposition, grasping-motion classification, and anthropomorphic robotic-hand design. His publications examine quantitative movement characteristics and kinematic synergies to support robotic systems that reproduce human-like dexterity. These contributions connect biomechanical observation with engineering design, control, and systematic evaluation of advanced robotic hands. [3] [4]

Publications

Dai Chu’s published work includes Decomposition and Reconstruction of Human Palm Movements, Human Palm Performance Evaluation and the Palm Design of Humanoid Robotic Hands, and Maximizing anthropomorphic grasping abilities of bio-inspired underactuated robotic hands. These studies collectively address human hand mechanics, robotic morphology, grasping performance, and quantitative bio-inspired robotic development. [3] [4]

Research Impact

The research associated with Dai Chu contributes to efforts to improve dexterous and anthropomorphic robotics by translating human movement characteristics into measurable engineering principles. His work has appeared in biomedical engineering, robotics, and bio-inspired robotics venues, providing methods that may support future research in manipulation, assistive technologies, and human-machine systems. [3] [4]

Award Suitability

Based on the supplied profile and indexed research record, Dai Chu demonstrates research activity aligned with robotics, autonomous systems, and bio-inspired motion planning. His documented publications address human-inspired robotic design and movement analysis, providing relevant evidence for consideration under a Best Researcher Award, subject to the award’s independent evaluation criteria. [1] [4]

Conclusion

Dai Chu’s research demonstrates a focused contribution to bio-inspired robotics, particularly the analysis and engineering reproduction of human hand function. His publication record connects biomechanics, motion analysis, and robotic design, while indexed research metrics provide additional indicators for evaluation. Further assessment should consider originality, methodological rigor, impact, and sustained contributions. [1] [3]

References

  1. Elsevier. (n.d.). Scopus author details: Dai Chu, Author ID 57226126803. Scopus.

    https://www.scopus.com/pages/authors/57226126803

  2. Frontiers. (n.d.). Dai Chu research profile. Frontiers Loop.

    https://loop.frontiersin.org/people/2165209/network

  3. Chu, D., Xiong, C., Huang, Z., Yang, J., Ma, J., Zhang, J., Sun, B., & Cai, J. (2024). Human Palm Performance Evaluation and the Palm Design of Humanoid Robotic Hands. IEEE Robotics and Automation Letters, 9(3), 2463–2470.

    https://doi.org/10.1109/LRA.2024.3354619

  4. Ma, J., Sun, B.-Y., Chu, D., Yang, J., Zhang, J., & Xiong, C.-H. (2025). Maximizing anthropomorphic grasping abilities of bio-inspired underactuated robotic hands. Bioinspiration & Biomimetics, 20(6).

    https://doi.org/10.1088/1748-3190/ae0aa3

Soyoung Jung | Engineering | Research Excellence Award

Published on by Statistics

Dr. Soyoung Jung | Engineering | Research Excellence Award

Dongyang University |  South Korea

Soyoung Jung, Ph.D., is an accomplished associate professor in the School of Smart System at Dongyang University, Engineering South Korea, with a strong interdisciplinary background in civil and environmental engineering, transportation engineering, statistics, and quantitative planning. Her academic training spans premier institutions in the United States and Korea, shaping her expertise in data-driven transportation safety, emergency medical service systems, and smart safety infrastructure. Dr. Jung’s research focuses on integrating spatial analysis, data mining, simulation, and optimization techniques to improve traffic safety, pre-hospital emergency medical services, and regional equity in emergency response systems, particularly across rural and urban networks. She has led numerous nationally funded research projects as principal investigator, supported by the National Research Foundation of Korea and multiple government ministries, addressing topics such as emergency patient transport efficiency, ambulance–helicopter coordination, EMS resource optimization, weather-related traffic safety, and large-scale safety prediction models. Her scholarly output demonstrates sustained impact in transportation and safety engineering, reflected in a solid publication record with a strong h-index, substantial number of indexed documents, and a notable citation count, highlighting the relevance of her work within the global research community. Through research, teaching, and funded innovation, Dr. Jung continues to contribute to the advancement of smart safety systems and evidence-based transportation policy.

Citation Metrics (Scopus)

800
600
400
200
0

Citations
288

Documents
19

h-index
7

Citations

Documents

h-index


View Scopus Profile

Featured Publications

Weijia Han | Design of Experiments (DOE) | Research Excellence Award

Published on by Statistics

Assoc Prof. Dr. Weijia Han | Design of Experiments (DOE) | Research Excellence Award

Wuhan Textile University | China

Assoc Prof. Dr. Weijia Han is an accomplished researcher in physics, materials science, and microelectronics, currently serving as a Lecturer at the School of Microelectronics, Wuhan Textile University, China. He has developed a strong international academic background through his roles as a Postdoctoral Researcher in Experimental Physics and Functional Materials at the Brandenburg University of Technology in Germany, a Guest Scientist at the Leibniz Institute for High Performance Microelectronics in Frankfurt (Oder), and a Research Associate at Osnabrück University as well as the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He holds a PhD in Physical Chemistry from Osnabrück University, a Master’s degree in Applied Physics from Xiangtan University, and a Bachelor’s degree in Physics from Huanggang Normal University. His research focuses on plasmonic and photonic nanostructures, including plasmonic titanium nitride nanohole arrays, metamaterial narrowband absorbers, graphene-based composites, and insect-inspired nanostamping technologies. His work spans design, simulation, nanofabrication, and extensive optical and structural characterization, using tools such as electron microscopy, atomic force microscopy, Raman imaging, X-ray diffraction, FTIR, spectroscopy, and advanced photocurrent measurement systems. He has contributed significantly to several national and international projects involving on-chip optical sensors, CMOS-compatible plasmonic devices, and refractive-index sensor engineering. His scholarly output includes numerous peer-reviewed publications in high-impact journals, and his research performance is reflected in an h-index of 4, with approximately 49 citations across over 11 scientific documents, demonstrating strong global visibility and influence. In addition, he is co-inventor on a Chinese patent related to black phosphorus flake preparation. Known for his creativity, analytical strengths, and problem-solving skills, he is highly self-motivated, collaborative, and deeply committed to innovation in electronic engineering, sensor technology, and advanced material systems.

Profiles: Scopus | Google Scholar 

Featured Publications

Akbar Esmaeili | Design of Experiments (DOE) | Editorial Board Member

Published on by Statistics

Prof. Akbar Esmaeili | Design of Experiments (DOE) | Editorial Board Member

 Islamic Azad University | Iran

Prof. Akbar Esmaeili, Ph.D., is a highly accomplished Professor in the Department of Chemical Engineering at the North Tehran Branch, Islamic Azad University, Tehran, Iran, and also serves as the Managing Director of the PINK WHITE ROSE Knowledge Enterprise Company. He earned his Ph.D. in Organic Chemistry from Islamic Azad University and has established himself as an influential researcher in tissue engineering, polymer science, and biomaterials. His pioneering investigations focus on the construction of biocompatible polymer-based heart valve scaffolds using advanced electrospinning and nanotechnological approaches. Dr. Esmaeili’s studies explore polyurethane, chitosan, polyvinyl alcohol, and polyaniline composite scaffolds, designed for superior biocompatibility, elasticity, and anticoagulant performance, contributing immensely to the progress of cardiovascular regenerative medicine. He is internationally recognized among the World’s Top 2% Scientists by Stanford University, with an h-index of 27, over 144 scientific publications, and more than 3,203 citations, reflecting his outstanding research productivity and global academic influence. Proficient in sophisticated analytical techniques such as NMR, HPLC, FTIR, SEM, XRD, and AFM, he exhibits comprehensive expertise in experimental and characterization methods. As an editor and reviewer for numerous prestigious international journals, including Acta Biochimica Polonica and Journal of Developmental Biology and Tissue Engineering, Dr. Esmaeili continues to inspire innovation and excellence in the interdisciplinary fields of chemistry, nanotechnology, and biomedical engineering.

Xu Ge | Statistical Applications in Engineering | Industrial Statistics Award

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Mr. Xu Ge | Statistical Applications in Engineering | Industrial Statistics Award

Shanghai Jiao Tong University | China

Mr. Xu Ge is a promising researcher specializing in control science, soft sensing, and intelligent systems, currently pursuing his Ph.D. at the UM-SJTU Joint Institute, Shanghai Jiao Tong University. He earned his Bachelor’s degree in Automation from the School of Mechanical Engineering and Automation at Harbin Institute of Technology (Shenzhen), where he consistently demonstrated academic excellence and technical innovation. Throughout his academic journey, Xu Ge has been recognized with numerous honors, including the prestigious National Scholarship, Topband Enterprise Scholarship, and First-Class Academic Scholarship. His university distinctions-Outstanding Student, Outstanding CYL Member, Outstanding Graduate, and Outstanding Thesis-further highlight his commitment to excellence. Xu has achieved remarkable success in national competitions, winning the ROBOCOM National First Prize, ROBOCON National Third Prize, the National Undergraduate Smart Car Competition (Outdoor Track) National Third Prize, and the National Undergraduate Mathematics Competition Provincial First Prize. His research experience reflects a strong interdisciplinary background bridging control engineering, machine learning, and system modeling. Notably, in the NSFC project “Online Estimation of Loads and Fatigue Life Prediction of Key Chassis Components under Random Driving Conditions,” he designed a soft-sensing framework that enables high-accuracy signal estimation through data-driven models and developed an embedded system for real-world vehicle testing. His collaboration with BYD on the “New Energy Vehicles Technology Program” showcased his expertise in robotics and deep learning, where he constructed datasets from BYD blade-battery modules and integrated neural networks with classical algorithms for precise robotic welding detection and operation. Xu Ge has contributed several impactful publications, including works in Mechanical Systems and Signal Processing and IEEE Transactions on Vehicular Technology, and papers accepted for presentation at IECON 2025. His accepted and submitted research covers a wide range of topics, such as vehicle sensor optimization, kernelized modeling for wheel load estimation, and battery electrochemical parameter identification through hybrid optimization methods. With his strong foundation in algorithm design, system integration, and data-driven control, Xu Ge continues to push the frontiers of intelligent mechanical systems and vehicular sensing technologies, aspiring to develop innovative, high-performance solutions that bridge theoretical advancements with industrial applications.

Profile: Google Scholar

Featured Publications

Ge, X., Li, M., Zhou, J., Qiu, Y., & Zhang, M. (2026). MMSE noncausal FIR based wheel force soft-sensing under Bernoulli-uniform prior. Mechanical Systems and Signal Processing, 242, 113601.

Ge, X., Zhang, M., Zhou, J., Chen, W., Li, X., & Li, M. (2025). Vehicle sensor configuration optimization for tire force estimation based on Min-Max SDP. In IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society.

Ding Xiangyu | Statistical Applications in Engineering | Best Researcher Award

Published on by Statistics

Prof. Ding Xiangyu | Statistical Applications in Engineering | Best Researcher Award

Nanchang Hangkong University | China

Prof. Ding Xiangyu is a distinguished scholar and the Dean of the School of Power and Energy at Nanchang University of Aeronautics, where he has established himself as a leading expert in the field of aeroengine technology and engineering. With an academic career marked by innovation, precision, and dedication, Professor Ding has devoted decades to advancing research on surface treatment and sealing structures for aeroengines, contributing significantly to the reliability, performance, and longevity of modern propulsion systems. His research has been instrumental in addressing critical challenges in high-temperature sealing, material fatigue, and efficiency optimization within the aerospace industry. Professor Ding has successfully led and participated in numerous high-impact research projects supported by prestigious funding bodies such as the Jiangxi Provincial Natural Science Foundation, the National Natural Science Foundation of China, the AVIC Independent Innovation Fund, and several defense-related horizontal projects that bridge academic theory with industrial application. His leadership and expertise have positioned him as a pivotal figure in fostering collaboration between academia, government, and the aerospace sector, driving forward China’s capabilities in aeronautical power engineering. As the chief editor of the authoritative textbook Principles of Aeroengines, Professor Ding has also made substantial contributions to the academic community by shaping the next generation of aerospace engineers and researchers. His textbook serves as a foundational reference for students and professionals alike, reflecting his deep understanding of engine thermodynamics, aerodynamics, and mechanical design. Beyond his academic and research achievements, he is widely recognized for his visionary leadership in developing the School of Power and Energy into a center of excellence for innovation and applied research. Under his guidance, the school has enhanced its focus on interdisciplinary education, experimental research, and international collaboration, aligning closely with global trends in sustainable and intelligent propulsion technologies. Professor Ding’s academic influence, technical expertise, and leadership continue to inspire advancements in the field of aeroengine engineering, contributing meaningfully to China’s aerospace progress and reinforcing his reputation as one of the foremost authorities in the field. His lifelong commitment to research excellence and educational leadership underscores his invaluable role in shaping both the technological and academic landscape of aerospace power and energy systems.

Profiles:  Orcid

Featured Publications

Wang, Y., Ding, X., Yu, S., Wang, S., Wu, Z., Yuan, Y., & Wang, C. (2025). Study on the effect of laser impact strengthening on the service performance of ZL101A aluminum alloy. Journal of Materials Engineering and Performance.

Gong, Z., Zhang, T., Chen, Y., Lu, J., Ding, X., Zhang, S., Lan, M., Shen, Y., & Wang, S. (2024). Effect of laser shock peening on stress corrosion cracking of TC4/2A14 dissimilar metal friction stir welding joints. Journal of Materials Research and Technology.

Ding, X., Zhang, J., Yu, S., Jiang, Z., Zhong, J., Ma, S., Wang, S., Li, H., & Wang, C. (2024). The effect of laser shock peening on the rotating bending fatigue resistance of S51740 stainless steel. Journal of Materials Science.

Ding, X., Li, H., Jiang, Z., Zhang, J., Ma, S., Zhong, J., Wang, S., & Wang, C. (2023). Prediction of surface residual stresses after laser shock processing on TC4 titanium alloy using different neural network agent models. Coatings.

Ding, X., Ma, S., Zhang, J., Jiang, Z., Li, H., Wang, S., Wang, C., & Zhong, J. (2023). Numerical simulation and process study on laser shock peening of 1Cr18Ni9Ti material. Crystals.

Mustafa Kerem Kockar | Statistical Applications in Engineering | Best Researcher Award

Published on by Statistics

Assoc Prof. Dr. Mustafa Kerem Kockar | Statistical Applications in Engineering | Best Researcher Award

Hacettepe University | Turkey

Assoc Prof. Dr. Mustafa Kerem Kockar is a Turkish engineering geologist and geotechnical expert currently serving in the Department of Civil Engineering at Hacettepe University, Ankara. He holds a B.Sc., M.Sc., and Ph.D. in Geological Engineering from Middle East Technical University (METU), where his research focused on engineering geological and geotechnical site characterization of Upper Pliocene and Quaternary deposits west of Ankara. He has also conducted research at The University of Texas at Austin and Texas A&M University. His key research interests include engineering geology, rock and soil mechanics-particularly tunnelling, dam sites, slopes, and landslides-in-situ geotechnical and seismic site characterization, dynamic and static numerical modelling of geotechnical problems, environmental geotechnology, and engineering seismology with an emphasis on ground-motion amplification, attenuation modelling, earthquake hazard assessment, and enhanced geothermal systems involving hydraulic fracturing and micro-seismic monitoring. He has authored or co-authored 47 documents and has received 650 citations with an h-index of 17, reflecting his strong contribution to the field. He has supervised several postgraduate theses on landslide monitoring, slope stability, fibre-optic methods for early warning, and solar farm foundation design. His professional experience includes academic and research roles at METU, UT Austin, Texas A&M, Gazi University’s Earthquake Engineering Research Center, and Hacettepe University. He also contributes to Turkey’s national seismology and earth-interior advisory commission under the Disaster and Emergency Management Authority (AFAD) and has provided expert consultancy on major infrastructure projects such as the Trans Anatolian Natural Gas Pipeline (TANAP) and slope-erosion surveys, showcasing his interdisciplinary expertise in geotechnical fieldwork, seismic hazard analysis, and numerical modelling.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Oner, G., Akgun, H., Koçkar, M. K., & Arslan Kelam, A. (2025). Municipal landfill site selection using TOPSIS methodology: A case study for Polatlı, Ankara, Türkiye. Bulletin of Engineering Geology and the Environment, 84(3), 126.

Arslan Kelam, A., Akgun, H., Bobet, A., & Kockar, M. K. (2025). Assessment of complex rock slope instabilities in Mudurnu, Turkey, through kinematic and dynamic analyses: A case study. Rock Mechanics and Rock Engineering, 58(2), 2223–2242.

cınar, Ö. F., Aldemir, A., Zervent, A., Yücel, O. B., Erberik, M. A., Anıl, O., & Koçkar, M. K. (2024). Fundamental period estimation of RC buildings by considering structural and non-structural damage distributions through neural network. Neural Computing and Applications, 36(3), 1329–1350.

Askan, A., Altindal, A., Aydin, M. F., Erberik, M. A., Koçkar, M. K., Tun, M., et al. (2025). Assessment of urban seismic resilience of a town in Eastern Türkiye: Turkoglu, Kahramanmaras before and after 6 February 2023 M 7.8 Kahramanmaras earthquake. Earthquake Spectra, 41(1), 146–175.

Sahin, G., Okalp, K., Koçkar, M. K., Yilmaz, M. T., Jalehforouzan, A., Temiz, F. A., et al. (2024). Development of a GIS-based predicted map of Türkiye using geological and topographical parameters: Case study for the region affected by the 6 February 2023 earthquakes. Seismological Research Letters, 95(4), 2044–2057.