Tag: Emerging Engineering Award

Bingmei Fu | Engineering | Innovative Research Award

Published on by World Science Awards

Innovative Research Award

Bingmei Fu — The City College of the City University of New York, United States

Bingmei Fu
Affiliation The City College of the City University of New York
Country United States
Scopus ID 7103382698
Documents 151
Citations 4,376
h-index 40
Subject Area Engineering
Event World Science Awards
ORCID 0000-0001-9343-5895

Bingmei Fu is a researcher affiliated with The City College of the City University of New York in the United States, with the supplied academic profile identifying Engineering as the principal subject area. The researcher is associated with Scopus Author ID 7103382698 and ORCID iD 0000-0001-9343-5895. [1] [2] This profile presents the available identification and disciplinary information in the context of an Innovative Research Award recognition page.

Abstract

This academic recognition profile presents the supplied information concerning Bingmei Fu, an engineering researcher affiliated with The City College of the City University of New York. The available information identifies Engineering as the subject area and provides Scopus and ORCID identifiers for researcher-level identification. [1] [2] The article considers the research profile in relation to innovation, engineering scholarship, research contribution, and academic recognition while avoiding unsupported claims about specific research outcomes.

Keywords

Bingmei Fu; Innovative Research Award; Engineering; engineering research; academic research; research innovation; The City College of the City University of New York; CUNY; scholarly communication; research impact; Scopus; ORCID; World Science Awards.

Introduction

Engineering encompasses a broad range of scientific and technical disciplines concerned with the design, analysis, development, testing, and application of technologies and systems. Engineering research may address fundamental scientific questions, computational methods, materials, infrastructure, energy systems, manufacturing, information technologies, or other specialized areas.

Innovation in engineering research is commonly assessed through the nature of the problem addressed, originality of the proposed approach, methodological rigor, technical feasibility, reproducibility, and potential practical relevance. Bibliometric information can provide contextual evidence about scholarly activity, but publication and citation indicators alone do not establish the originality or technical significance of a particular contribution. [3]

Research Profile

The supplied profile identifies Bingmei Fu with The City College of the City University of New York and lists Engineering as the subject area. The Scopus Author ID associated with the supplied information is 7103382698. [1] The ORCID identifier is 0000-0001-9343-5895, which provides a persistent identifier intended to distinguish the researcher from other researchers and connect scholarly activities with an individual author record. [2]

Research Contributions

The supplied information places Bingmei Fu’s research profile within Engineering. Because no specific publication titles, research projects, patents, technical reports, or research findings were provided, individual scientific or technological contributions cannot be attributed reliably from the available information alone.

Within an academic evaluation, engineering contributions may be examined through the problems investigated, the methods developed or applied, the technical novelty of the work, validation procedures, reproducibility, and potential applications. These dimensions can complement bibliographic indicators when evaluating research innovation and scholarly contribution. [3]

Publications

The supplied information does not include a publication list or verified publication-level bibliographic details for Bingmei Fu. The Scopus author profile supplied for this article provides an external route for reviewing the researcher’s indexed author record. [1]

A complete publication assessment would ordinarily consider article or conference titles, authorship, publication venues, publication dates, abstracts, methodologies, citation context, and persistent identifiers such as DOIs. No specific DOI has been supplied for an individual publication in the source information, so no publication-specific DOI is attributed here.

Research Impact

The available input does not provide numerical publication, citation, or h-index values. Accordingly, no quantitative research-impact measurement is assigned in this article. This avoids presenting unverified bibliometric information as an established fact.

Research impact in Engineering may be assessed through several dimensions, including scholarly influence, technological development, practical application, knowledge transfer, collaboration, educational contribution, industry relevance, and evidence that research has informed subsequent work. Bibliometric indicators, when available and appropriately verified, can provide additional context but should be interpreted with attention to disciplinary differences and database coverage. [3]

Award Suitability

The supplied profile contains several elements relevant to an academic recognition assessment for an Innovative Research Award, including an identifiable engineering research field, an institutional affiliation, a Scopus author identifier, and an ORCID identifier. [1] [2]

A substantive assessment of innovative research should additionally examine verified research outputs and the evidence supporting their originality, technical contribution, methodological quality, reproducibility, and practical or scholarly relevance. The absence of publication-level information in the supplied data means that this profile does not make specific claims about individual discoveries, inventions, patents, or research outcomes.

  • Engineering is the supplied subject area.
  • The researcher is affiliated with The City College of the City University of New York.
  • A Scopus Author ID is provided for researcher identification.
  • An ORCID iD is provided for persistent researcher identification.
  • Publication-level evidence should be reviewed when assessing specific innovative contributions.

Conclusion

Bingmei Fu is identified in the supplied information as an Engineering researcher affiliated with The City College of the City University of New York in the United States. The profile is associated with Scopus Author ID 7103382698 and ORCID iD 0000-0001-9343-5895. [1] [2]

The available information establishes the researcher’s disciplinary and institutional profile but does not provide sufficient publication-level evidence to characterize specific innovations or research outcomes. A comprehensive recognition assessment should therefore consider verified scholarly outputs, originality, technical methodology, research quality, and evidence of broader impact alongside the available researcher-identification information.

References

  1. Elsevier. (n.d.). Scopus author details: Bingmei Fu, Author ID 7103382698. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7103382698
  2. ORCID. (n.d.). ORCID record: Bingmei Fu, ORCID iD 0000-0001-9343-5895.
    https://orcid.org/0000-0001-9343-5895
  3. Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520, 429–431.
    DOI: https://doi.org/10.1038/520429a
  4. World Science Awards. (n.d.). World Science Awards.
    https://shen.sciencefather.com/

P.S.N. Masthan Vali | Engineering | Best Researcher Award

Published on by World Science Awards

Best Researcher Award

P.S.N. Masthan Vali — SRM University, AP, India

P.S.N. Masthan Vali
Affiliation SRM University, AP
Country India
Scopus ID 58498006900
Documents 23
Citations 212
h-index 9
Subject Area Engineering
Event World Science Awards
ORCID 0000-0001-6273-4868

P.S.N. Masthan Vali is an engineering researcher affiliated with SRM University, AP, India. The supplied researcher identifiers associate the profile with Scopus Author ID 58498006900 and ORCID iD 0000-0001-6273-4868. [1] [2] The profile is presented in the context of the Best Researcher Award associated with the World Science Awards and focuses on the documented academic identity and Engineering subject area provided for the researcher.

Abstract

This academic recognition profile summarizes the supplied information concerning P.S.N. Masthan Vali, an engineering researcher affiliated with SRM University, AP, India. The supplied record identifies Engineering as the subject area and provides persistent identifiers through Scopus Author ID 58498006900 and ORCID iD 0000-0001-6273-4868. [1] [2] The profile is considered in relation to the Best Researcher Award and emphasizes scholarly identity, disciplinary relevance, research contributions, publication activity, and potential research impact. Specific bibliometric values for documents, citations, and h-index were not included in the supplied input and are therefore not inferred.

Keywords

P.S.N. Masthan Vali; Best Researcher Award; Engineering; engineering research; academic research; SRM University, AP; research profile; scholarly publications; research impact; Scopus; ORCID; World Science Awards.

Introduction

Engineering research encompasses the development, evaluation, and application of scientific and technical knowledge to address practical and theoretical problems. Depending on the discipline, engineering research may involve experimental investigation, computational analysis, mathematical modelling, system design, materials development, optimization, or technology assessment.

Assessment of research excellence generally benefits from multiple forms of evidence, including the originality of research questions, methodological rigor, quality of publications, technical relevance, collaboration, knowledge dissemination, and demonstrated impact. Bibliometric indicators may provide useful contextual information but should not be treated as a standalone measure of research quality. [3]

Research Profile

The supplied profile identifies P.S.N. Masthan Vali as being affiliated with SRM University, AP, in India, with Engineering specified as the principal subject area. The Scopus Author ID supplied for the researcher is 58498006900, while the ORCID identifier is 0000-0001-6273-4868. [1] [2] These persistent identifiers can assist with distinguishing the researcher’s scholarly record from records belonging to individuals with similar names.

Research Contributions

The available information places P.S.N. Masthan Vali within the broad field of Engineering. The supplied data do not specify a narrower engineering specialization, individual research projects, inventions, patents, or particular technical findings. Accordingly, no specific discovery or innovation is attributed to the researcher without publication-level evidence.

Within an academic evaluation framework, relevant contributions may be assessed through the research questions addressed, methodological design, experimental or computational evidence, technical novelty, reproducibility, and relevance to engineering practice. These dimensions provide a basis for distinguishing documented scholarly contributions from general professional activity.

  • Academic activity associated with the Engineering subject area.
  • Researcher identification through a Scopus Author ID.
  • Persistent scholarly identification through an ORCID iD.
  • Institutional affiliation with SRM University, AP, India.

Publications

The supplied input identifies a Scopus author profile but does not provide individual publication titles, journal names, publication dates, authorship details, citation counts for individual works, or DOI identifiers. [1] Therefore, specific publications are not listed or attributed in this profile without additional verified bibliographic information.

A publication-level evaluation for a Best Researcher Award would ordinarily examine the relevance and quality of the published work, originality of the research, methodological rigor, venue quality, authorship contribution, citations, and subsequent use or development of the research. DOI information should be included when available so that individual publications can be independently identified and accessed.

Research Impact

The supplied information does not include citation totals, h-index, document counts, or other quantitative research-impact measures. These values are therefore marked as not supplied rather than estimated. The Scopus and ORCID identifiers can nevertheless provide useful starting points for verifying publication records and assessing scholarly activity. [1] [2]

Research impact in Engineering can extend beyond citation metrics and may include practical implementation, technological development, improved engineering processes, knowledge transfer, collaboration, educational influence, or contributions to solving established technical problems. A complete assessment should therefore combine quantitative indicators with qualitative evidence of research significance. [3]

Award Suitability

Based on the supplied information, P.S.N. Masthan Vali has an academic profile within Engineering and an identifiable institutional and scholarly record. The presence of both a Scopus Author ID and ORCID iD supports the traceability of the researcher’s academic identity. [1] [2]

For the Best Researcher Award, final suitability should be determined using verified evidence of research quality and contribution. Particular attention may be given to originality, methodological rigor, publication quality, technical significance, individual contribution, research continuity, and demonstrable influence. Because publication-level and bibliometric data were not supplied in the input, this profile does not make a definitive ranking or claim of award superiority.

  • Relevant academic subject area in Engineering.
  • Institutional affiliation with SRM University, AP.
  • A traceable Scopus Author ID associated with the supplied researcher profile.
  • A persistent ORCID identifier associated with the researcher.
  • Potential relevance to an Engineering-focused research recognition assessment.

Conclusion

P.S.N. Masthan Vali is identified in the supplied information as an Engineering researcher affiliated with SRM University, AP, India. The profile includes Scopus Author ID 58498006900 and ORCID iD 0000-0001-6273-4868, providing persistent identifiers for scholarly record verification. [1] [2]

The available information supports consideration of the researcher within an Engineering research-recognition context, but it does not contain sufficient publication-level or bibliometric evidence to independently establish the extent of research impact or award merit. A complete assessment should incorporate verified publications, research originality, technical contribution, methodological quality, and evidence of scholarly or practical influence.

References

  1. Elsevier. (n.d.). Scopus author details: P.S.N. Masthan Vali, Author ID 58498006900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58498006900
  2. ORCID. (n.d.). ORCID record: P.S.N. Masthan Vali, ORCID iD 0000-0001-6273-4868.
    https://orcid.org/0000-0001-6273-4868
  3. Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520, 429–431.
    DOI: https://doi.org/10.1038/520429a
  4. World Science Awards. (n.d.). World Science Awards.
    https://shen.sciencefather.com/

Zahra Talebi | Engineering | Best Researcher Award

Published on by World Science Awards

Best Researcher Award

Zahra Talebi — Isfahan University of Technology, Iran

Zahra Talebi
Affiliation Isfahan University of Technology
Country Iran
Scopus ID 56028109300
Documents 22
Citations 598
h-index 14
Subject Area Engineering
Event World Science Awards

Zahra Talebi is an engineering researcher affiliated with Isfahan University of Technology in Iran. Her indexed research record includes 22 documents, 598 citations, and an h-index of 14 according to the supplied Scopus author information. These bibliometric indicators provide a quantitative view of the visibility and citation impact associated with her indexed scholarly output. [1]

The Best Researcher Award recognition considered in this article is associated with the World Science Awards. The award context provides a framework for recognizing researchers whose scholarly contributions, research productivity, and measurable academic influence demonstrate relevance within their respective fields. [2]

Abstract

This academic recognition profile presents the research record of Zahra Talebi, an engineering researcher affiliated with Isfahan University of Technology, Iran. Based on the supplied Scopus information, Talebi has 22 indexed documents, 598 citations, and an h-index of 14. [1] These indicators offer a concise bibliometric representation of her scholarly activity and citation visibility. The profile also considers the relevance of these indicators to the Best Researcher Award associated with the World Science Awards. [2] The assessment is presented in a neutral academic format and distinguishes quantitative publication indicators from broader qualitative considerations such as research relevance, contribution, and scholarly significance.

Keywords

Zahra Talebi; Best Researcher Award; engineering research; Isfahan University of Technology; Scopus; bibliometrics; research impact; scholarly publications; citation analysis; World Science Awards.

Introduction

Researcher recognition programs commonly consider a combination of scholarly productivity, research influence, disciplinary relevance, and evidence of contribution. Bibliometric indicators such as publication counts, citation counts, and h-index values can provide standardized quantitative measures for examining aspects of scholarly visibility, although they do not independently establish the quality or significance of research. [1]

Zahra Talebi’s supplied research profile places her within the broad field of Engineering and associates her with Isfahan University of Technology. The reported Scopus record contains 22 documents and 598 citations, with an h-index of 14. [1] Within an award assessment, such indicators may be considered alongside the nature of publications, research originality, disciplinary contribution, collaboration, and broader academic relevance.

Research Profile

The available profile identifies Zahra Talebi as an engineering researcher at Isfahan University of Technology in Iran. Her indexed record comprises 22 documents with 598 citations and an h-index of 14. [1] The combination of publication activity and citation accumulation indicates that her indexed work has received measurable scholarly attention.

The reported metrics should be interpreted in relation to the publication dates, subject-specific citation patterns, authorship structure, and research areas represented in the underlying record. Bibliometric indicators can support an assessment of scholarly visibility, but a comprehensive academic evaluation generally requires examination of the underlying publications and their substantive contributions.

Research Contributions

The supplied information identifies Engineering as the principal subject area for Zahra Talebi. The available bibliometric record establishes the scale of her indexed research activity but does not provide sufficient publication-level information to assign specific technical contributions without risk of introducing unsupported claims. Accordingly, the contribution profile is described in terms of documented research activity and measurable scholarly visibility. [1]

A detailed contribution assessment would normally examine the research questions addressed, methodologies employed, experimental or computational approaches, findings, collaboration patterns, and the extent to which individual publications have influenced subsequent scholarship. Such analysis can distinguish publication productivity from substantive research contribution.

Publications

The supplied Scopus profile reports 22 documents associated with the author identifier 56028109300. [1] Because individual publication titles, journals, publication years, authorship information, and DOI identifiers were not supplied as part of the input data, specific publications are not listed here. This approach avoids attributing publications or DOI records to the researcher without verification.

For a complete publication bibliography, the Scopus author record should be consulted directly and individual articles should be verified against their publisher or DOI records. The absence of publication-level information in this profile should not be interpreted as an absence of scholarly output.

Research Impact

The reported total of 598 citations indicates that the indexed documents associated with Zahra Talebi have accumulated substantial citation activity within the relevant scholarly literature. The h-index of 14 further indicates that at least 14 indexed publications have received at least 14 citations each under the corresponding database calculation. [1]

Citation indicators are influenced by disciplinary practices, publication age, collaboration patterns, database coverage, and citation behavior. Consequently, the metrics should be used as evidence of measurable scholarly attention rather than as a standalone measure of research quality. A fuller impact assessment would consider highly cited individual works, citation contexts, technological or methodological applications, collaborations, and contributions to the engineering research community.

Award Suitability

Based on the supplied information, Zahra Talebi presents several measurable characteristics that are relevant to consideration for the Best Researcher Award. Her record includes 22 indexed documents, 598 citations, and an h-index of 14 in the Scopus profile provided for this assessment. [1] These indicators establish a documented level of publication activity and citation visibility within Engineering.

Award suitability should nevertheless be determined through a broader review that includes publication quality, originality, methodological rigor, research significance, leadership, collaboration, and the relevance of the work to the award’s stated criteria. The World Science Awards provides the relevant award context for this recognition profile. [2]

On the quantitative information supplied, Talebi’s research profile demonstrates a clear basis for academic recognition. A final award decision should incorporate independently verified publication records and the official evaluation criteria applicable to the Best Researcher Award.

Conclusion

Zahra Talebi is an engineering researcher affiliated with Isfahan University of Technology, Iran, whose supplied Scopus profile records 22 documents, 598 citations, and an h-index of 14. [1] These indicators provide quantitative evidence of scholarly activity and citation visibility. In the context of the Best Researcher Award associated with the World Science Awards, the profile provides a reasonable quantitative foundation for academic recognition. [2] Comprehensive assessment should additionally consider the substantive quality, originality, and influence of the underlying research.

References

  1. Elsevier. (n.d.). Scopus author details: Zahra Talebi, Author ID 56028109300. Scopus.
    https://www.scopus.com/pages/authors/56028109300
  2. World Science Awards. (n.d.). World Science Awards official website.
    https://shen.sciencefather.com/

Ali Nawaz Sanjrani | Engineering | Best Researcher Award

Published on by World Science Awards

Assist. Prof. Dr Ali Nawaz Sanjrani | Engineering | Best Researcher Award

Assistant Professor at University of Electronic Science and Technology of China

Dr. Ali Nawaz Sanjrani is a highly accomplished mechanical engineer and academic with over 18 years of interdisciplinary experience in project management, reliability, quality assurance, and health and safety systems. He holds a PhD in Mechanical Engineering from the University of Electronics Science and Technology, China, and specializes in reliability monitoring, diagnostics, and prognostics of complex machinery. Dr. Sanjrani has a strong background in advanced manufacturing processes, lean manufacturing, and machine learning applications in engineering systems. He has served as an Assistant Professor at Mehran University of Engineering and Technology and has contributed significantly to both academia and industry. His research focuses on fluid dynamics, heat transfer, and predictive maintenance using AI-driven models. Dr. Sanjrani has published extensively in high-impact journals and conferences, earning recognition for his innovative approaches to engineering challenges. He is a certified lead auditor in ISO and OHSAS standards and a member of the Pakistan Engineering Council.

Professional Profile

Education

Dr. Ali Nawaz Sanjrani earned his PhD in Mechanical Engineering from the University of Electronics Science and Technology, Chengdu, China, with a CGPA of 3.89/4. His doctoral research focused on reliability monitoring, diagnostics, and prognostics of complex machinery. He completed his M.Engg. in Industrial Manufacturing from NED University, Karachi, with a CGPA of 3.04/4, specializing in lean manufacturing. His undergraduate degree in Mechanical Engineering was obtained from QUEST, Nawabshah, with an aggregate of 70%, specializing in mechanical manufacturing and materials. Throughout his academic journey, Dr. Sanjrani studied advanced courses such as Finite Element Analysis (FEA), Computer-Aided Manufacturing (CAM), Operations Research (OR), and Agile & Lean Manufacturing. His education has equipped him with a strong foundation in both theoretical and practical aspects of mechanical and industrial engineering, enabling him to excel in research, teaching, and industry applications.

Professional Experience 

Dr. Ali Nawaz Sanjrani has over 18 years of professional experience spanning academia, research, and industry. He served as an Assistant Professor at Mehran University of Engineering and Technology, SZAB Campus, from 2016 to 2020, where he specialized in fluid dynamics, heat transfer, and machine learning applications. Prior to this, he worked as a Lecturer at the same institution and as a visiting faculty member at INDUS University, Karachi. In the industry, Dr. Sanjrani was an Engineer in Quality Assurance and Quality Control at DESCON Engineering Works Limited, Lahore, from 2006 to 2011. His roles included implementing ISO standards, conducting audits, and ensuring quality and safety compliance. Dr. Sanjrani has also led research projects in predictive maintenance, reliability engineering, and lean manufacturing, bridging the gap between academic theory and industrial practice. His expertise in project management and integrated management systems has made him a valuable asset in both academic and professional settings.

Awards and Honors

Dr. Ali Nawaz Sanjrani has received numerous accolades for his academic and professional excellence. He was awarded the 3rd Prize in Academic Excellence and Performance Excellence at the University of Electronics Science and Technology, Chengdu, China, in 2024. He secured a fully funded Chinese Government Scholarship (CSC) for his PhD studies in 2020. Dr. Sanjrani was also recognized with an Appreciation Certificate from Karachi Shipyard & Engineering Works for achieving ISO certifications (QMS, EMS, OH&SMS) in 2011. His innovative approach to dismantling a luffing crane earned him an Appreciation Letter from the Managing Director of KSEW in 2013. Additionally, Dr. Sanjrani has been acknowledged for his research contributions through publications in high-impact journals and presentations at international conferences. His achievements reflect his dedication to advancing engineering knowledge and applying it to real-world challenges.

Research Interests

Dr. Ali Nawaz Sanjrani’s research interests lie at the intersection of mechanical engineering, machine learning, and reliability engineering. He specializes in predictive maintenance, diagnostics, and prognostics of complex machinery, particularly in high-speed trains and industrial systems. His work focuses on developing AI-driven models, such as LSTM networks and neural networks, for fault diagnosis and residual life prediction. Dr. Sanjrani is also deeply involved in fluid dynamics, heat transfer, and energy systems, exploring advanced manufacturing processes and lean manufacturing techniques. His research extends to renewable energy systems, including solar power and biogas utilization, as well as dynamic power management in microgrids. By integrating machine learning with traditional engineering practices, Dr. Sanjrani aims to enhance system reliability, efficiency, and sustainability. His interdisciplinary approach bridges the gap between theoretical research and practical applications, making significant contributions to both academia and industry.

Research Skills

  • Machine Learning & AI: Neural Networks, LSTM, Predictive Modeling, Fault Diagnosis.
  • Reliability Engineering: Prognostics, Diagnostics, Residual Life Prediction.
  • Fluid Dynamics & Heat Transfer: Modeling, Simulation, and Analysis.
  • Advanced Manufacturing: Lean Manufacturing, FEA, CAM, Agile Processes.
  • Renewable Energy Systems: Solar Power, Biogas, Microgrids.
  • Software Proficiency: Python, MATLAB, SolidWorks, Auto CAD, FEA Tools.
  • Certifications: ISO 9001, ISO 14001, OHSAS 18001 Lead Auditor.

Conclusion

Dr. Ali Nawaz Sanjrani is a distinguished mechanical engineer and academic with a proven track record in research, teaching, and industry. His expertise in reliability engineering, machine learning, and advanced manufacturing has led to significant contributions in predictive maintenance and system optimization. With numerous publications, awards, and certifications, Dr. Sanjrani continues to push the boundaries of engineering knowledge, applying innovative solutions to real-world challenges. His interdisciplinary approach and dedication to excellence make him a valuable asset in both academic and professional settings.

Publication Top Notes

  1. Ali Nawaz1 – RHSA Based Hybrid Prognostic Model for Predicting Residual Life of Bearing: A Novel Approach – Mechanical Systems and Signal Processing – To be published.
  2. Ali Nawaz1 – Multiparametric Dual Task Multioutput Artificial Neural Network Model for Bearing Fault Diagnosis and Residual Life Prediction in High-Speed Trains – IEEE Transaction of Reliability – To be published.
  3. Ali Nawaz1 – Advanced Learning Interferential ALI-Former: A Novel Approach for Live and Reliable High-Speed Train Bearing Fault Diagnosis – Neural Computing and Applications – To be published.
  4. Ali Nawaz Sanjrani1 – High-Speed Train Bearing Health Assessment Based on Degradation Stages Through Diagnosis and Prognosis by Using Dual-Task LSTM With Attention Mechanism – Quality and Reliability Engineering International Journal WILEY – 2025.
  5. Ali Nawaz Sanjrani3 – Dynamic Temporal LSTM-Seqtrans for Long Sequence: An Approach for Credit Card and Banking Accounts Fraud Detection in Banking System – 2024 21st International Computer Conference on Wavelet Active Media Technology and Information Processing – 2025.
  6. Ali Nawaz Sanjrani1 – High-speed train wheel set bearing analysis: Practical approach to maintenance between end of life and useful life extension assessment – Results in Engineering – 2025.
  7. Ali Nawaz Sanjrani5 – Advanced dynamic power management using model predictive control in DC microgrids with hybrid storage and renewable energy sources – Journal of Energy Storage – 2025.
  8. Ali Nawaz Sanjrani1 – High-Speed Train Health Assessment Based on Degradation Stages and Fault Classification by using Dual Task LSTM with Attention Mechanism – 2024 6th International Conference on System Reliability and Safety Engineering – 2024.
  9. A.N. Sanjrani – A C-band Sheet Beam Staggered Double Grating Extended Interaction Oscillator – 2024 IEEE International Conference on Plasma Science (ICOPS) – 2024.
  10. Ali Nawaz1 – Bearing Health and Safety Analysis to improve the reliability and efficiency of Horizontal Axis Wind Turbine (HAWT) – ESREL 2023 – 2023.
  11. Ali Nawaz2 – Prediction of Remaining Useful Life of Bearings using a Parallel Neural Network – ESREL 2023 – 2023.
  12. Ali Nawaz Sanjrani2 – Performance Improvement through Lean System Case study of Karachi Shipyard & Engineering Works – IEIM 2024 – 2023.
  13. Ali Nawaz Sanjrani3 – Dynamic Performance of Partially Orifice Porous Aerostatic Thrust Bearing – Micromachines – 2021.
  14. Sanjrani; Ali Nawaz2 – Performance Evaluation of Mono Crystalline Silicon Solar Panels in Khairpur, Sind, Pakistan – JOJ Material Science – 2017.
  15. A. N. Sanjrani1 – Utilization of Biogas using Portable Biogas Anaerobic Digester in Shikarpur and Sukkur Districts: A case study – Pakistan Journal of Agriculture Engineering Veterinary Science – 2017.
  16. A. N. Sanjrani1 – Lean Manufacturing for Minimization of Defects in the Fabrication Process of Shipbuilding: A case study – Australian Journal of Engineering and Technology Research – 2017.