Ishraga Allam | Statistical Modeling and Simulation | Mathematical Statistics Award

Published on by Statistics

Mathematical Statistics Award

Ishraga Allam,
University of Khartoum, Khartoum, Sudan

Ishraga Allam
Affiliation University of Khartoum, Khartoum, Sudan
Country Egypt
Documents 207
Subject Area Analysis of Variance
Event World Statistics Awards
ORCID 0009-0005-7615-0077

The Mathematical Statistics Award recognizes research and scholarly contributions to statistical theory, quantitative analysis, and evidence-based interpretation. This article presents the supplied academic profile of Ishraga Allam, whose stated subject area is analysis of variance (ANOVA), and outlines the relevance of mathematical statistics to research and statistical practice. [1] [2]

Abstract

This article outlines the academic profile of Ishraga Allam in relation to mathematical statistics and analysis of variance. The supplied information identifies an institutional affiliation, an ORCID profile, and 207 reported documents. Publication-level evidence, citation metrics, and independently verified research outcomes are not provided; therefore, specific achievements require further verification. [1] [2]

Keywords

Mathematical statistics; analysis of variance; ANOVA; statistical inference; probability theory; quantitative research; statistical modelling; experimental design; data analysis; academic research. These terms describe the subject area and related methodological concepts rather than verified titles of the researcher’s individual publications. [1] [3]

Introduction

Mathematical statistics provides theoretical foundations for interpreting data, estimating parameters, testing hypotheses, and quantifying uncertainty. Analysis of variance (ANOVA) is widely used to examine differences among group means under appropriate assumptions. This article introduces Ishraga Allam’s supplied research profile and contextualizes the stated subject area within contemporary statistical practice. [1] [2]

Research Profile

Ishraga Allam is listed in the supplied information as affiliated with the University of Khartoum in Khartoum, Sudan, with ANOVA identified as the subject area. The profile reports 207 documents and provides an ORCID identifier for researcher discovery. Individual publication records, research appointments, and bibliometric indicators should be checked against authoritative sources. [1] [3]

Research Contributions

Research in mathematical statistics can contribute methods for experimental design, hypothesis testing, model evaluation, and reliable interpretation of quantitative evidence. ANOVA supports comparisons across multiple groups when its assumptions and study design are suitable. Specific contributions attributable to Ishraga Allam cannot be established from the supplied profile alone and require examination of individual studies. [2] [3]

Publications

The supplied profile reports 207 documents associated with the researcher; however, a complete bibliography, publication titles, journal names, publication dates, and DOI identifiers were not provided. Individual records should be verified through the researcher’s ORCID profile and relevant scholarly databases before citation. No specific publication or DOI is attributed here without supporting bibliographic evidence. [1] [4]

Research Impact

Research impact may be assessed through citation patterns, methodological reuse, collaboration, reproducibility, and documented applications in scientific or practical settings. The reported document count offers one preliminary indicator of research activity but does not independently establish influence or quality. Citation totals, h-index, and evidence of practical outcomes remain unavailable for this profile. [1] [2]

Award Suitability

The Mathematical Statistics Award may be relevant to researchers whose verified work advances statistical theory, analytical techniques, or applications of quantitative methods. The stated ANOVA subject area provides a potential point of alignment. A fair assessment of Ishraga Allam’s suitability requires publication verification, evidence of originality, documented research impact, and evaluation against the award’s official criteria. [2] [4]

Conclusion

Ishraga Allam’s supplied profile connects the researcher with the University of Khartoum and identifies ANOVA as a relevant subject area. The reported document count provides preliminary bibliometric context, while further evidence is needed to establish specific contributions and impact. Verified records and transparent assessment criteria are essential for responsible academic recognition. [1] [2]

References

  1. ORCID. (n.d.). ORCID record for Ishraga Allam. ORCID. The identifier was supplied in the source information; the record’s contents should be consulted to verify biographical and publication details.

    https://orcid.org/0009-0005-7615-0077

  2. Allam, I. M. A. (2026). A comparative study of Gabriel’s multiple comparison test: C implementation vs Python implementation

    https://doi.org/10.13140/RG.2.2.28684.88967

  3. Allam, I. M. A. (2026, March 9). A Python implementation of the Kaplan–Meier estimator for survival analysis.

    https://doi.org/10.13140/RG.2.2.12808.07686

  4. Allam, I. M. A. (2026, September 19). Hazen proportion estimation: A research paper on formula, implementation, and applications.

    https://doi.org/10.13140/RG.2.2.25427.95525

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

Qingmin Wang | Statistical Computing and Programming | Innovative Research Award

Published on by Statistics

Innovative Research Award

Qingmin Wang,
Zhejiang University.

Qingmin Wang
Affiliation Zhejiang University
Country China
Scopus ID 57322536800
Documents 25
Citations 342
h-index 12
Subject Area Civil Engineering
Event World Statistics Awards
ORCID 0000-0001-6353-7014

Qingmin Wang is a researcher affiliated with Zhejiang University whose indexed scholarly record includes 25 documents, 342 citations, and an h-index of 12. His stated subject area is Civil Engineering. These bibliometric indicators provide a structured overview of his documented research activity and scholarly visibility. [1]

Abstract

Qingmin Wang is affiliated with Zhejiang University, China, and is associated with the field of Civil Engineering. Available bibliometric information records 25 scholarly documents, 342 citations, and an h-index of 12. This article summarizes the documented research profile, contributions, publications, scholarly impact, and relevance to the Innovative Research Award. [1]

Keywords

Civil Engineering; statistical analysis; engineering research; research publications; bibliometrics; scholarly impact; Innovative Research Award; World Statistics Awards.

Introduction

Qingmin Wang is affiliated with Zhejiang University in China and works within Civil Engineering. His documented scholarly profile comprises 25 Scopus-indexed documents, 342 citations, and an h-index of 12. These indicators offer measurable context for reviewing his research activity, publication record, and academic visibility in engineering research. [3]

Research Profile

Wang’s research profile is situated within Civil Engineering and is supported by a documented Scopus author record. The profile identifies Zhejiang University as his affiliation and records 25 documents, 342 citations, and an h-index of 12. These metrics provide quantitative indicators for examining his scholarly output and citation visibility. [1]

Research Contributions

Wang’s documented contributions can be considered through his publication activity and indexed citation record in Civil Engineering. His 25 recorded documents represent a body of scholarly output, while 342 citations indicate subsequent academic referencing. Together, these measures provide evidence for assessing the reach and continuity of his research contributions. [2]

Publications

The available Scopus record identifies 25 documents associated with Qingmin Wang. The indexed publication count provides a measurable basis for describing his scholarly productivity. Individual publication titles, journals, publication years, and DOI information should be verified against authoritative publisher and indexing records before being used for detailed bibliographic analysis. [3]

Research Impact

The recorded citation count of 342 and h-index of 12 provide quantitative measures of Wang’s scholarly visibility within indexed research literature. Citation metrics can help describe how publications have been referenced by subsequent studies, although they should be interpreted alongside publication quality, research context, collaboration, and disciplinary citation practices. [2]

Award Suitability

For the Innovative Research Award, Wang’s documented affiliation, Civil Engineering subject area, publication activity, and citation record provide relevant evidence for consideration. The available metrics indicate an established indexed research profile. Final award assessment should additionally consider submitted research materials, originality, methodological quality, significance, and the evaluation criteria established by the World Statistics Awards. [2]

Conclusion

Qingmin Wang’s academic profile is associated with Zhejiang University and Civil Engineering, with 25 indexed documents, 342 citations, and an h-index of 12. These indicators establish a measurable record of scholarly activity and visibility. Further evaluation can incorporate publication details, research originality, methodological contributions, and supporting academic documentation. [1]

References

  1. Zhao, W., Chang, T., Wang, Q., Li, Y., Cui, Y., Yang, Y., & Sun, B. (2026). Tensile performance of the vertical joint of a novel precast RC shear wall structure with concentrated connection bars: Experimental and numerical investigation. Journal of Building Engineering.

    https://doi.org/10.1016/j.jobe.2026.117242

  2. Zhao, W., Zheng, T., Li, Y., Yang, Y., & Wang, Q. (2025). Shear behavior of keyed vertical joints with lap splices for precast RC frame-shear wall structures. Engineering Structures.

    https://doi.org/10.1016/j.engstruct.2025.121100

  3. Yuan, L., Yang, Y., Wang, Q., Zhao, Q., Cui, Y., & Zhao, W. (2025). Investigation on the dimensions design and anchorage mechanism of headed bars utilized as shear reinforcements.

    https://doi.org/10.1016/j.istruc.2025.108647

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/

Sandreen Hitti | Descriptive and Inferential Statistics | Best Researcher Award

Published on by Statistics

Best Researcher Award

Sandreen Hitti
Affiliation American University of Beirut
Country Lebanon
Scopus ID 59957308700
Documents 2
Citations 3
h-index 1
Subject Area AI and Marketing
Event World Statistics Awards

Sandreen Hitti,
American University of Beirut.

Sandreen Hitti is affiliated with the American University of Beirut and is identified in the supplied bibliographic information as a researcher working at the intersection of artificial intelligence and marketing. Her indexed record currently reports two documents, three citations, and an h-index of one. [1]

Abstract

Sandreen Hitti is an academic researcher affiliated with the American University of Beirut whose supplied scholarly profile is associated with artificial intelligence and marketing. The available indexed record identifies two documents, three citations, and an h-index of one. This page presents a neutral overview of her research profile and award suitability. [1]

Keywords

  • Artificial Intelligence
  • Marketing
  • Digital Marketing
  • Academic Research
  • Research Impact
  • American University of Beirut

Introduction

Sandreen Hitti is affiliated with the American University of Beirut and works within the broad interdisciplinary area of artificial intelligence and marketing. Her available indexed profile records two scholarly documents and three citations, indicating an emerging research record. The profile provides a basis for evaluating her scholarly activity and developing contributions. [1]

Research Profile

Hitti’s supplied research profile identifies artificial intelligence and marketing as her principal subject area. She is affiliated with the American University of Beirut, Lebanon, and has a Scopus author identifier of 59957308700. The indexed record lists two documents, three citations, and an h-index of one, providing measurable indicators of her research activity. [2]

Research Contributions

Hitti’s research profile reflects an interdisciplinary orientation connecting artificial intelligence with marketing-related inquiry. Such a combination can support investigations of technology-enabled consumer analysis, digital decision-making, and data-informed marketing practices. Based on the supplied information, her documented contributions remain limited in number, while her indexed publications provide an identifiable foundation for continued research development. [3]

Publications

The supplied Scopus information records two indexed documents associated with Sandreen Hitti and reports three citations across the indexed record. Specific publication titles, journals, publication years, and DOI identifiers were not provided in the source information available for this profile. Consequently, no unverified publication titles or DOI numbers are attributed here. [2]

Research Impact

The available bibliometric record reports three citations and an h-index of one for Hitti, demonstrating measurable scholarly visibility within the indexed literature. These indicators should be interpreted in relation to publication volume, career stage, field practices, and indexing coverage. The current record therefore indicates emerging rather than extensive bibliometric impact. [3]

Award Suitability

Hitti’s interdisciplinary focus on artificial intelligence and marketing, institutional affiliation, indexed publications, and measurable citation record provide relevant evidence for consideration in a researcher recognition process. Final award suitability should depend on the award’s published criteria, verified publications, research originality, documented outcomes, and independent assessment rather than bibliometric indicators alone. [1]

Conclusion

Sandreen Hitti presents an emerging academic profile at the intersection of artificial intelligence and marketing, supported by affiliation with the American University of Beirut and an indexed Scopus record. Her current metrics include two documents, three citations, and an h-index of one. Further publications and documented research outcomes may strengthen future recognition. [2]

References

  1. Elsevier. (n.d.). Scopus author details: Sandreen Hitti, Author ID 59957308700. Scopus.

    https://www.scopus.com/pages/authors/59957308700

  2. Google Scholar. (n.d.). Sandreen Hitti: Google Scholar profile.

    https://scholar.google.com/citations?user=0AL_z1QAAAAJ&hl=en

  3. Hitti, S., & Ramadan, A. (2026). Humanizing the customer experience with AI chatbots: A study in the food services industry toward achieving SDG 11 and SDG 12. Journal of Business and Socio-economic Development.

    https://doi.org/10.1108/JBSED-05-2025-0153

Xin Chen | Statistical Applications in Engineering | Best Researcher Award

Published on by Statistics

Dr. Xin Chen | Statistical Applications in Engineering | Best Researcher Award

Hainan University | China

Dr. Xin Chen is a distinguished petroleum engineering researcher currently serving as an Associate Researcher at the School of Marine Science and Engineering, State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University. He obtained his Bachelor’s and Master’s degrees in Petroleum and Drilling Engineering from the China University of Petroleum, East China, and earned his Doctor of Philosophy in Petroleum Engineering from the University of Alberta. His research integrates theoretical modeling and experimental analysis to address complex challenges in gas hydrate systems, marine carbon sequestration, multiphase flow thermodynamics, enhanced oil recovery, polymer modification, and well cementing technologies. Dr. Chen has contributed significantly to advancing hydrate equilibrium calculations, cement slurry stability, and hydrocarbon phase behavior modeling. His prolific academic output includes numerous publications in top-tier journals such as Chemical Engineering Science, Fluid Phase Equilibria, Construction and Building Materials, SPE Journal, Energy, and Journal of Physical Chemistry C. In addition to his journal papers, he is a co-inventor on multiple international and national patents focusing on high-temperature and low-temperature well cementing systems, thermal-thickening stabilizers, and self-generating nitrogen foamed cement technologies. Dr. Chen has actively participated in several major research projects related to CO₂ sequestration in marine sediments, advanced reservoir fluid modeling, and wellbore cementing performance optimization, collaborating with both academic and industrial partners. He also serves as a peer reviewer for leading journals including Fuel, Engineering, Petroleum Science, and Construction and Building Materials, demonstrating his commitment to maintaining high standards in scientific publishing. According to Scopus, Dr. Xin Chen’s academic profile reflects a robust research impact with an h-index of 14, 26 documents, and more than 488 citations, signifying his growing global recognition in petroleum and energy engineering research.

Profiles: Scopus | Orcid

Featured Publications

Yang, H., Li, H., Xu, H., Wang, R., Zhang, Y., Xing, L., Chen, X., Peng, L., Kang, W., & Sarsenbekuly, B. (2026). Enhanced CO2 foam stabilization with fluorescent nano polymer microspheres for improved oil recovery: Insights from microscopic and macroscopic displacement studies. Geoenergy Science and Engineering.

Jiang, H., Yang, H., Ning, C., Peng, L., Zhang, S., Chen, X., Shi, H., Wang, R., Sarsenbekuly, B., & Kang, W. (2025). Amphiphilic polymer with ultra-high salt resistance and emulsification for enhanced oil recovery in heavy oil cold recovery production. Geoenergy Science and Engineering.

Yufeng Jiang | Statistical Applications in Engineering | Best Researcher Award

Published on by Statistics

Assoc Prof. Dr. Yufeng Jiang | Statistical Applications in Engineering | Best Researcher Award

Ocean University of China | China

Assoc Prof. Dr. Yufeng Jiang is an Associate Professor at the Ocean University of China, specializing in the health monitoring and safety assessment of offshore and marine engineering structures. With a strong academic foundation from the Ocean University of China, he has dedicated his career to advancing intelligent damage diagnosis methods that can directly utilize incomplete information while maintaining high noise robustness. He innovatively developed an iterative two-stage damage identification methodology capable of simultaneously locating structural damage and assessing its severity. Dr. Jiang has designed a hardware network of fiber optic sensors for condition monitoring of deepwater pressure-resistant subsea structures and created an intelligent structural health monitoring and early warning system, which has been successfully applied in a 500-meter deep-sea mixed-transport system demonstration project. His research has led to 20 Documents , 10 patents, and collaboration on three major research projects, resulting in a citation count of 111 and an h-index of 6, reflecting the significant impact of his work. Additionally, he has contributed to two consultancy projects and maintained collaborations across multiple institutions, consistently translating innovative research into practical engineering applications. Dr. Jiang continues to advance the field of marine structural safety with a focus on applied intelligence and robust monitoring solutions.

Profiles: Scopus  | Orcid

Featured Publications

Liu, Y., Wang, S., Jiang, Y., & Du, J. (2025). A spatial deformation reconstruction method of deep-sea mining riser from sparse inclination measurements. Ocean Engineering.

Wang, C., Luo, D., Guo, Y., Zheng, Z., Jiang, Y., & Du, J. (2025). A novel stochastic model updating method for offshore platforms based on Kriging model with active learning. Ocean Engineering.

Jiang, Y., Ma, C., Wang, S., & Li, Y. (2024). A novel evolutionary algorithm for structural model updating with a hybrid initialization and multi-stage update strategy. Ocean Engineering.

Jiang, Y., Liu, Y., Wang, S., & Rakicevic, Z. (2024). Structural damage classification in offshore structures under environmental variations and measured noises using linear discrimination analysis. Structural Control and Health Monitoring.

Liu, Y., Jiang, Y., Zhao, H., Wang, S., & Han, J. (2023). Experimental investigation on vortex-induced vibration characteristics of a segmented free-hanging flexible riser. Ocean Engineering.

Nitendra Palankar | Statistical Applications in Engineering | Best Researcher Award

Published on by Statistics

Dr. Nitendra Palankar | Statistical Applications in Engineering | Best Researcher Award

Don Bosco College of Engineering | India

Dr. Nitendra Palankar is a seasoned academic and researcher specializing in Transportation Engineering and Concrete Technology, with over 12 years of experience in the field. He currently serves as a Professor in the Department of Civil Engineering at KLS Gogte Institute of Technology, Belagavi, Karnataka, India. Dr. Palankar completed his Ph.D. in Civil Engineering (Transportation Engineering) from the National Institute of Technology Karnataka (NITK), Surathkal, in July 2016, following an M.Tech. in the same discipline from NITK in 2012. His doctoral research focused on the “Performance of Alkali Activated Concrete Mixes with Steel Slag as Coarse Aggregate for Rigid Pavements,” under the guidance of Prof. A.U. Ravishankar. He has been actively involved in teaching for over six years and has contributed significantly to the academic community through various roles, including serving as an editorial member for the American Journal of Construction and Building Materials and as a reviewer for several reputed journals and conferences. Dr. Palankar has also been a registered research guide at Visvesvaraya Technological University (VTU), Belagavi, currently supervising two research scholars. His research interests encompass sustainable construction materials, particularly the use of industrial by-products in concrete, and the development of eco-friendly pavement technologies. He has authored numerous publications in high-impact journals, including the Journal of Cleaner Production and the International Journal of Pavement Engineering. Dr. Palankar holds an h-index of 6, with 484 citations. His work has garnered recognition for its contribution to sustainable civil engineering practices, particularly in the context of utilizing industrial waste materials for pavement construction. Through his extensive research and academic endeavors, Dr. Palankar continues to advance the field of transportation engineering, focusing on innovative and sustainable solutions for infrastructure development.

Featured Publications

“Studies on Self-Healing Properties of Glass Fibre Reinforced Bituminous Concrete Mixes”

“Development of regression model for strength prediction of Eco-Friendly alkali activated dry lean concrete for pavements”

“Investigations on performance of alkali activated mortar mixes containing red mud and aluminum dross”

“Performance of Alkali-Activated Mortar Mixes Containing Industrial Waste Materials as Binders”

“A study on the effect of rejuvenators in reclaimed asphalt pavement based stone mastic asphalt mixes”