Adam Kawalec | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Best Researcher Award

Adam Kawalec · Military University of Technology · Poland

 Adam Kawalec
Affiliation Military University of Technology
Country Poland
Scopus ID 6602840570
Documents 161
Citations 1,085
h-index 17
Subject area Engineering
Event Global Scholar Awards
ORCID 0000-0003-3930-7504

Adam Kawalec is an engineering researcher affiliated with the Military University of Technology in Poland. His bibliographic profile, identified by Scopus Author ID 6602840570 and ORCID 0000-0003-3930-7504, provides a basis for examining his scholarly output and research visibility. The supplied metrics report 161 documents, 1,085 citations, and an h-index of 17. These indicators offer a quantitative overview of his indexed research record and provide context for consideration for the Best Researcher Award presented through Global Scholar Awards. [1] [2]

Abstract

Adam Kawalec is an engineering researcher affiliated with the Military University of Technology in Poland. His scholarly profile is represented through Scopus and ORCID, enabling identification of indexed publications and author records. The supplied bibliometric data indicate 161 documents, 1,085 citations, and an h-index of 17. These indicators describe publication activity and citation visibility within the indexed research literature. This article presents an overview of his research profile, contributions, publication record, and research impact in the context of engineering scholarship. It also outlines considerations relevant to evaluating his profile for the Best Researcher Award through Global Scholar Awards. [1] [2]

Keywords

Engineering research, engineering publications, scholarly communication, research productivity, citation analysis, bibliometrics, scientific collaboration, academic impact, Scopus author profile, ORCID researcher identification, and research recognition.[1]

Introduction

Adam Kawalec’s engineering profile can be examined through the relationship between scholarly publications, citation records, institutional affiliation, and persistent researcher identifiers. Bibliographic databases support discovery and evaluation by organizing research outputs and linking publications to authors. Such records provide useful evidence of academic activity, although publication counts and citations should be interpreted alongside research quality, originality, and field-specific context. [1] [3]

Research Profile

Adam Kawalec is associated with the Military University of Technology in Poland, and his supplied subject classification is engineering. His Scopus author record and ORCID identifier provide routes for examining his publications and author information. The reported totals of 161 documents, 1,085 citations, and an h-index of 17 form a bibliometric snapshot; database records and metrics may change over time. [1] [2]

Research Contributions

Adam Kawalec’s research contributions should be assessed through the subjects, methods, findings, and applications documented in his individual publications. A reliable evaluation would examine original research questions, methodological rigor, reproducibility, and relevance to engineering practice. The available profile metrics establish publication activity but do not independently identify particular inventions, technical advances, or societal outcomes. Article-level verification is necessary before attributing specific achievements. [1] [3]

Publications

Adam Kawalec’s reported publication record comprises 161 documents in the supplied Scopus profile information. A detailed publication review should verify article titles, co-authors, publication years, journal or conference venues, and DOI identifiers directly against indexed records. Because individual publication metadata and research topics have not been supplied separately, specific titles and DOI citations cannot be reliably listed here. The Scopus profile provides the primary starting point for further examination. [1]

Research Impact

Adam Kawalec’s supplied citation record reports 1,085 citations and an h-index of 17. Citation counts provide an indication of how often indexed work is cited, while the h-index combines publication productivity with citation distribution. Neither measure captures every dimension of research quality, practical value, or collaboration. Interpretation should consider disciplinary norms, publication dates, database coverage, and the differences between citation visibility and demonstrated research outcomes. [1] [3]

Award Suitability

Adam Kawalec’s reported publication volume, citation record, and h-index provide measurable information for consideration in a Best Researcher Award assessment. A balanced evaluation should also examine originality, methodological quality, publication relevance, independent recognition, and contributions to engineering knowledge. These profile details alone do not establish an award decision. Final suitability depends on the applicable award criteria, supporting evidence, and the review process administered by Global Scholar Awards. [1] [4]

Conclusion

Adam Kawalec’s profile identifies an engineering researcher affiliated with the Military University of Technology in Poland. The supplied Scopus metrics report 161 documents, 1,085 citations, and an h-index of 17, offering a quantitative view of his indexed scholarly activity. Further assessment of research quality and award suitability should draw on verified publications, article-level findings, and transparent evaluation criteria rather than bibliometric indicators alone. [1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Adam Kawalec, Author ID 6602840570. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6602840570
  2. ORCID. (n.d.). Adam Kawalec: ORCID researcher record. ORCID.
    https://orcid.org/0000-0003-3930-7504
  3. Ślesicka, A., & Kawalec, A. (n.d.). Real-time hand gesture recognition for IoT devices using FMCW mmWave radar and continuous wavelet transform. https://www.mdpi.com/2079-9292/15/2/250
  4. Global Scholar Awards. (n.d.). Global Scholar Awards: Official website and award information.
    https://globalscholarawards.com/
  5. Google Scholar. (n.d.). Adam Kawalec: Google Scholar author profile.
    https://scholar.google.com/citations?user=kl6D9ygAAAAJ&hl=en&oi=ao

Ksawery Krenc | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Best Researcher Award

Ksawery Krenc, Military University of Technology · Poland

Ksawery Krenc
Affiliation Military University of Technology
Country Poland
Scopus ID 25655080500
Documents 25
Citations 90
h-index 6
Subject area Engineering
Event Global Scholar Awards
ORCID 0000-0002-1275-0736

Ksawery Krenc is identified in the supplied researcher information as an engineering researcher affiliated with the Military University of Technology in Poland. This article presents a structured overview of the research profile, bibliometric indicators, publication-related assessment criteria, and potential relevance of the Best Researcher Award associated with the Global Scholar Awards. The profile incorporates the supplied Scopus author identifier, ORCID record, and research metrics.[1] [2]

Abstract

Ksawery Krenc, affiliated with the Military University of Technology in Poland, is presented as an engineering researcher whose scholarly profile can be examined through publication activity, citation indicators, and persistent researcher identification. The supplied profile reports 25 documents, 90 citations, and an h-index of 6. These metrics provide an initial quantitative description, but do not independently establish research quality, originality, or award eligibility. The Best Researcher Award assessment associated with the Global Scholar Awards should consider verified publications, methodological rigor, research relevance, and documented contributions. Independent database checks and published award criteria remain necessary before drawing definitive conclusions about recognition or distinction.

Keywords

Engineering research, scholarly publications, bibliometrics, citation analysis, research impact, academic recognition, researcher identification, and research evaluation. [1]

Introduction

Ksawery Krenc is associated in the supplied profile with the Military University of Technology, a Polish higher education and research institution. This article frames the Best Researcher Award as an academic recognition topic and describes the information relevant to evaluating a researcher’s scholarly record. Publication counts, citation totals, and h-index values are commonly used bibliometric indicators, but their interpretation depends on disciplinary conventions, publication dates, database coverage, and authorship practices. A responsible assessment therefore combines quantitative indicators with qualitative examination of research outputs, contribution statements, reproducibility, and relevance to the engineering field. [2] [3]

Research Profile

Ksawery Krenc’s supplied research profile identifies the Military University of Technology in Poland as his affiliation and engineering as his broad subject area. The Scopus author identifier is reported as 25655080500, while the ORCID identifier is 0000-0002-1275-0736. These identifiers provide routes for checking author attribution and distinguishing records associated with a researcher. [1] [2]

Research Contributions

Ksawery Krenc’s research contributions should be assessed by examining the verified content of his engineering publications, the problems addressed, the methods employed, and the extent to which the findings advance existing knowledge or practice. The supplied profile does not include article titles, abstracts, technical findings, or contribution statements, so specific innovations cannot be responsibly attributed here.  [3]

Publications

Ksawery Krenc’s supplied profile reports 25 documents indexed in connection with the stated Scopus author identifier. A document count describes database-indexed output and may include different publication types, depending on the profile and indexing criteria. Because individual titles, journal names, publication years, and digital object identifiers were not supplied for this article, a verified publication-by-publication account cannot be reproduced here. [1] [4]

Research Impact

Ksawery Krenc’s supplied indicators of 90 citations and an h-index of 6 offer a preliminary quantitative view of the reported scholarly record. The h-index reflects a combination of publication productivity and citation performance, but it does not measure every dimension of research quality or account equally for differences between disciplines and career stages. [3] [4]

Award Suitability

Ksawery Krenc’s reported publication and citation indicators may be relevant to an initial review for the Best Researcher Award associated with the Global Scholar Awards. However, suitability cannot be established from these figures alone, and no nomination, shortlist placement, selection, or award receipt is confirmed by the information supplied. A fair assessment would require the official eligibility rules, evaluation period, publication verification, evidence of individual contributions, and any applicable peer-review or judging criteria. [3] [5]

Conclusion

Ksawery Krenc’s supplied profile presents an engineering researcher affiliated with the Military University of Technology in Poland, with reported bibliometric indicators of 25 documents, 90 citations, and an h-index of 6. Scopus and ORCID identifiers provide useful starting points for checking publication attribution and researcher identity. These details establish a preliminary profile, not a complete assessment of scientific achievement or award eligibility.

References

  1. Elsevier. (n.d.). Scopus author details: Ksawery Krenc, Author ID 25655080500. Scopus. Author metrics and indexed documents should be checked against the current record.
    https://www.scopus.com/authid/detail.uri?authorId=25655080500
  2. ORCID. (n.d.). Ksawery Krenc: ORCID researcher record. ORCID provides persistent identifiers intended to distinguish researchers and connect their scholarly contributions.
    https://orcid.org/0000-0002-1275-0736
  3. Bużantowicz, W., Walenczykowska, M., Krenc, K., Kawalec, A., Ninković, B. M., Tasić, M. S., Kolundžija, B. M., Przesmycki, R., Bugaj, M., & Nowosielski, L. (n.d.). Numerical and experimental determination of the radar cross-section values for air defense system performance evaluation: A comparative study. https://doi.org/10.1201/9781003739234-10
  4. Krenc, K. (n.d.). The invisible swarm: How to combine the radar and visual characteristics of UAVs to minimize their recognition.
    https://doi.org/10.1201/9781003739234-9
  5. Global Scholar Awards. (n.d.). Official awards website. The organizer’s official website should be consulted for current categories, eligibility requirements, submission procedures, judging criteria, and award announcements. The existence of an award category does not establish that a particular researcher has received it.
    https://globalscholarawards.com/

Genfeng Liu | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Dr. Genfeng Liu | Engineering | Best Researcher Award

Research Scholar at Henan University of Technology, China

Genfeng Liu is a highly qualified candidate for the Best Researcher Award, with a strong background in control science and engineering, specializing in data-driven control, adaptive control, and fault-tolerant systems. His research spans intelligent transportation, multiagent systems, and nonlinear systems, contributing to high-impact IEEE journals such as IEEE Transactions on Cybernetics (IF: 19.118) and IEEE Transactions on Neural Networks and Learning Systems (IF: 14.255). As a reviewer for leading journals, he holds strong academic credibility. His work on model-free adaptive control and cybersecurity applications demonstrates real-world relevance. To enhance his profile, he could expand international collaborations, increase industry applications, and lead large-scale research projects. While his contributions are highly significant, further engagement in technology transfer and interdisciplinary research would strengthen his impact. Overall, his extensive publication record and research influence make him a strong contender for the award, with potential for even greater contributions in the future.

Professional Profile

Education

Genfeng Liu received his Ph.D. in Control Science and Engineering from Beijing Jiaotong University, China, in 2021. His doctoral research focused on advanced control methodologies, including data-driven control, iterative learning control, and fault-tolerant control, which have significant applications in intelligent transportation and nonlinear systems. Throughout his academic journey, he developed expertise in adaptive control and multiagent systems, contributing to cutting-edge research in automation and cybernetics. His education provided a strong foundation in both theoretical and applied control engineering, enabling him to publish in prestigious IEEE journals. Additionally, his academic background equipped him with the analytical and problem-solving skills necessary to address complex challenges in system automation and intelligent control. His commitment to continuous learning and research excellence is evident in his contributions to high-impact scientific literature and his role as a reviewer for renowned international journals, solidifying his reputation as an expert in his field.

Professional Experience

Genfeng Liu is currently a Lecturer at the College of Electrical Engineering, Henan University of Technology, Zhengzhou, China. His professional experience revolves around advanced control engineering, with a focus on data-driven control, adaptive control, and fault-tolerant systems. As a researcher, he has made significant contributions to intelligent transportation systems, multiagent systems, and nonlinear control, publishing extensively in high-impact IEEE journals. Beyond his research, he actively participates in academic peer review for prestigious journals such as IEEE Transactions on Cybernetics and IEEE Transactions on Intelligent Vehicles, reinforcing his role as a respected scholar in the field. His expertise extends to supervising students and collaborating on interdisciplinary projects, bridging the gap between theoretical advancements and practical applications. His ongoing work in model-free adaptive control and cybersecurity-related control mechanisms further strengthens his impact in academia and industry, positioning him as a leader in modern control systems and intelligent automation research.

Research Interest

Genfeng Liu’s research interests lie in advanced control engineering, with a strong focus on data-driven control, adaptive control, and fault-tolerant control. His work explores iterative learning control and model-free adaptive control techniques, particularly in applications related to intelligent transportation systems, nonlinear systems, and multiagent systems. He is also interested in cybersecurity aspects of control systems, such as defense mechanisms against false data injection attacks. His research aims to enhance the efficiency, safety, and reliability of automation in modern transportation and industrial systems. By integrating artificial intelligence with control theory, he seeks to develop innovative solutions for complex, real-world engineering challenges. His studies have been published in top-tier journals, reflecting his commitment to advancing theoretical and applied knowledge in control science. Additionally, his expertise in intelligent transportation and system optimization continues to drive impactful contributions to the fields of automation, cybernetics, and industrial informatics.

Award and Honor

Genfeng Liu has received several accolades and recognition for his outstanding contributions to the field of control science and engineering. His research publications in prestigious IEEE journals, such as IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems, have earned him significant recognition within the academic community. As an active reviewer for renowned international journals, he has been acknowledged for his critical evaluations and contributions to the peer-review process. His innovative work in data-driven control, adaptive control, and fault-tolerant systems has positioned him as a leading researcher in intelligent transportation and nonlinear systems. Additionally, his participation in high-profile conferences and collaborations with esteemed researchers further highlight his impact in the field. While his research achievements are commendable, pursuing national and international research grants and awards would further enhance his recognition and establish him as a distinguished leader in control engineering and automation.

Research Skill

Genfeng Liu possesses strong research skills in advanced control engineering, specializing in data-driven control, adaptive control, and fault-tolerant control. He is proficient in developing and implementing iterative learning control and model-free adaptive control strategies for complex nonlinear and multiagent systems. His expertise extends to intelligent transportation systems, where he applies innovative control techniques to enhance automation and safety. He is highly skilled in mathematical modeling, algorithm development, and system optimization, enabling him to solve real-world engineering challenges effectively. His ability to conduct in-depth theoretical analysis and translate findings into practical applications is evident in his numerous high-impact publications in top-tier IEEE journals. Additionally, his experience as a reviewer for prestigious academic journals demonstrates his critical thinking and analytical skills. His research capabilities, combined with his ability to collaborate on interdisciplinary projects, make him a valuable contributor to the fields of cybernetics, automation, and industrial informatics.

Conclusion

Genfeng Liu is a highly suitable candidate for the Best Researcher Award due to his exceptional research output, high-impact publications, and contributions to control engineering and intelligent transportation systems. To further strengthen his candidacy, increasing international collaborations, practical industry applications, and leadership roles in large-scale projects would make his research even more impactful.

Publications Top Noted

  • Title: Improved Model-Free Adaptive Predictive Control for Nonlinear Systems with Quantization Under Denial of Service Attacks
    Authors: Genfeng Liu, Jinbao Zhu, Yule Wang, Yangyang Wang
    Year: 2025
    Citation: DOI: 10.3390/sym17030471

  • Title: Adaptive Iterative Learning Fault-Tolerant Control for State Constrained Nonlinear Systems With Randomly Varying Iteration Lengths
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2024
    Citation: DOI: 10.1109/TNNLS.2022.3185080

  • Title: Cooperative Adaptive Iterative Learning Fault-Tolerant Control Scheme for Multiple Subway Trains
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2022
    Citation: DOI: 10.1109/TCYB.2020.2986006

  • Title: RBFNN-Based Adaptive Iterative Learning Fault-Tolerant Control for Subway Trains With Actuator Faults and Speed Constraint
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2021
    Citation: DOI: 10.1109/TSMC.2019.2957299

  • Title: Adaptive Iterative Learning Control for Subway Trains Using Multiple-Point-Mass Dynamic Model Under Speed Constraint
    Authors: Genfeng Liu, Zhongsheng Hou
    Year: 2021
    Citation: DOI: 10.1109/TITS.2020.2970000

  • Title: A Model-Free Adaptive Scheme for Integrated Control of Civil Aircraft Trajectory and Attitude
    Authors: Gaoyang Jiang, Genfeng Liu, Hansong Yu
    Year: 2021
    Citation: DOI: 10.3390/sym13020347

  • Title: A Data-Driven Distributed Adaptive Control Approach for Nonlinear Multi-Agent Systems
    Authors: Xian Yu, Shangtai Jin, Genfeng Liu, Ting Lei, Ye Ren
    Year: 2020
    Citation: DOI: 10.1109/ACCESS.2020.3038629

  • Title: Model-Free Adaptive Direct Torque Control for the Speed Regulation of Asynchronous Motors
    Authors: Ziwei Zhang, Shangtai Jin, Genfeng Liu, Zhongsheng Hou, Jianmin Zheng
    Year: 2020
    Citation: DOI: 10.3390/pr8030333