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/

Mohsin Hasan | Management science and engineering | Best Researcher Award

Published on by Global Scholar Awards

Mr . Mohsin Hasan | Management science and engineering | Best Researcher Award

Student at Nanjing University of Aeronautics and Astronautics , China

Mohsin Hasan is a dedicated and impactful researcher currently pursuing a PhD in Management Science and Engineering at Nanjing University of Aeronautics and Astronautics, China. His research focuses on epileptic seizure prediction using advanced machine learning techniques, including LSTM, SHAP, and deep neural networks, addressing a critical healthcare challenge. With publications in top-tier SCIE-indexed journals such as Engineering Applications of Artificial Intelligence and Annals of Operations Research, he demonstrates strong academic rigor and innovation. Mohsin possesses expertise in Python programming, big data analysis, and research writing, supported by a multi-disciplinary academic background in sociology. He has also actively contributed to community health initiatives in Pakistan, reflecting a blend of technical and social impact. While improved English proficiency and expanded international collaboration could enhance his profile, his current achievements make him a strong candidate for the Best Researcher Award, showcasing both research excellence and real-world relevance.

Professional Profile

Education🎓

Mohsin Hasan has a diverse and interdisciplinary educational background that bridges social sciences and engineering. He is currently pursuing a PhD in Management Science and Engineering at Nanjing University of Aeronautics and Astronautics in China, with a research focus on epileptic seizure prediction using machine learning and deep learning techniques. Prior to his doctoral studies, he completed an M.S. in Rural Sociology from the University of Agriculture Faisalabad and a Master’s degree in Sociology from the University of Sargodha, Pakistan. His academic journey began with a Bachelor of Arts from Government College University Faisalabad, followed by intermediate studies at Government Islamia College Chiniot and matriculation at Government High School Chak No. 152 JB Chiniot. Throughout his education, Mohsin has developed strong skills in Python programming, big data analysis, and research writing, positioning him to apply advanced technological solutions to both social and engineering problems, particularly in healthcare and community development.

Professional Experience📝

Mohsin Hasan has a well-rounded professional background that spans academic research and community development. Currently, he is engaged in cutting-edge research as a PhD scholar, working on epileptic seizure prediction using machine learning, with multiple SCIE-indexed publications to his name. His earlier professional experience includes various social outreach and coordination roles across Pakistan. As a Social Outreach Worker with UNODC, he led awareness campaigns and community mobilization for drug addiction treatment. He also served as Supervisor for the Sehat Sahulat Insaaf Card project with RCDP, managing field staff and overseeing healthcare card distribution. As a Dosti Coordinator with Muslim Hands International, he trained teachers and encouraged school enrollment and student participation in extracurricular activities. Additionally, he worked as an Assistant Constituency Coordinator for the FAFEN Election Project, monitoring electoral processes and data collection. His experience demonstrates a strong blend of technical expertise, leadership, and community-oriented service.

Research Interest🔎

Mohsin Hasan’s research interests lie at the intersection of artificial intelligence, healthcare, and data science, with a strong focus on real-world applications that enhance human well-being. His primary area of interest is the prediction and classification of epileptic seizures using advanced machine learning and deep learning techniques, including Long Short-Term Memory (LSTM), Kolmogorov Arnold Network Theorem, SHAP-driven feature analysis, and attention-based neural networks. He is particularly passionate about leveraging electroencephalography (EEG) data to develop interpretable and accurate models for early seizure detection. His research also extends to reliability engineering, operational research, and the integration of AI in medical diagnostics. With a background in sociology and rural development, Mohsin brings a unique, human-centered approach to technological innovation, aiming to bridge the gap between data-driven solutions and community health challenges. His interdisciplinary perspective fuels his commitment to creating scalable, impactful tools for healthcare and beyond, particularly in under-resourced and developing contexts.

Award and Honor🏆

Mohsin Hasan has earned recognition for his dedication to academic excellence and impactful research, positioning him as a strong candidate for prestigious honors. His most notable achievement is his contribution to high-impact, SCIE-indexed journals such as Engineering Applications of Artificial Intelligence and Annals of Operations Research, where his research on epileptic seizure prediction has gained international attention. In addition to academic publications, Mohsin has been involved in global policy discussions and training sessions, including regional dialogues hosted by the Asian Institute of Technology and certification courses by the World Health Organization on emerging health threats and COVID-19 response. His ability to translate complex data science techniques into meaningful healthcare solutions reflects both innovation and social commitment. These accomplishments highlight his exceptional talent, work ethic, and relevance in critical global issues. Such recognition not only underscores his scholarly contributions but also establishes him as a deserving candidate for awards celebrating research excellence and societal impact.

Research Skill🔬

Mohsin Hasan possesses a comprehensive set of research skills that enable him to conduct advanced, data-driven investigations with real-world impact. He is highly proficient in Python programming and well-versed in tools such as Jupyter Notebook, PyCharm, and Google Colab, which he utilizes for building and testing machine learning models. His core expertise lies in deep learning, particularly in applying algorithms like Long Short-Term Memory (LSTM), 1D-ResNet, and attention mechanisms for medical data analysis, especially EEG-based epileptic seizure prediction. Mohsin is skilled in big data analytics, neural network development, and SHAP-based model interpretation, which enhances the transparency and usability of AI models. Additionally, he is experienced in academic research writing, LaTeX formatting, and data visualization using software like Edraw Max and Visio. His ability to integrate technical depth with scientific communication, along with a strong foundation in statistical methods and real-time problem-solving, marks him as a capable and innovative researcher.

Conclusion💡

✅ Yes, Mohsin Hasan is a strong and deserving candidate for the Best Researcher Award.

His profile demonstrates a rare and valuable combination of technical AI research, medical applications, and community-level engagement. His high-quality publications, technical skills, and international academic involvement position him as a rising researcher with significant impact potential.

Publications Top Noted✍

  • Title: Long Short-Term Memory and Kolmogorov Arnold Network Theorem for Epileptic Seizure Prediction

  • Authors: Mohsin Hasan, Xufeng Zhao, Wenjuan Wu, Jiafei Dai, Xudong Gu, Asia Noreen

  • Year: 2025

  • Journal: Engineering Applications of Artificial Intelligence

  • Volume and Issue: Volume 154

  • Pages: Article 110757

  • Publisher: Elsevier

  • Indexing: SCIE

  • Citation Format (APA Style):
    Hasan, M., Zhao, X., Wu, W., Dai, J., Gu, X., & Noreen, A. (2025). Long Short-Term Memory and Kolmogorov Arnold Network Theorem for epileptic seizure prediction. Engineering Applications of Artificial Intelligence, 154, 110757. https://doi.org/10.1016/j.engappai.2025.110757 (DOI placeholder if needed)

 

Daniel Mmereki | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Dr. Daniel Mmereki | Engineering | Best Researcher Award

Research Coordinator at University of the Witwatersrand, South Africa

Daniel Mmereki is a Postdoctoral Research Fellow at the School of Public Health in Johannesburg, South Africa, with an academic background rooted in environmental science and exposure science. He holds a PhD in Engineering (Exposure Science) from Chongqing University, China, and an MSc in Environmental Science from the University of Botswana. Daniel has garnered considerable international recognition, as evidenced by his NRF C2 rating, and has experience working across several countries, including Botswana, China, Vietnam, and South Africa. His work bridges multiple disciplines, integrating environmental science, public health, and advanced technologies such as AI and machine learning. Daniel is passionate about addressing global challenges, particularly those related to environmental health and public health. His expertise includes environmental exposure assessments, statistical methods, research project management, and postgraduate student supervision.

Professional Profile

Education

Daniel Mmereki’s academic journey is distinguished by degrees and training in environmental science and exposure science. He earned his PhD in Engineering (Exposure Science) from Chongqing University in China, a program that allowed him to gain expertise in assessing environmental exposures and their implications on public health. Prior to his PhD, he completed his MSc in Environmental Science and a Bachelor’s degree in Environmental Science, both at the University of Botswana. His education is complemented by additional specialized training in statistical analysis, research project management, and machine learning. These qualifications equip him with a multidisciplinary approach to tackling complex research challenges. Throughout his academic career, Daniel has been committed to gaining in-depth knowledge and improving his technical skills in environmental and public health research.

Professional Experience

Daniel has accumulated extensive professional experience in academic and research settings, both in South Africa and internationally. As a Postdoctoral Research Fellow at the School of Public Health in Johannesburg, he is involved in advanced public health research, focusing on environmental exposures and their impact on human health. His earlier work includes conducting research across Botswana, China, and Vietnam, where he applied his expertise in exposure science to a variety of environmental challenges. Additionally, Daniel has supervised postgraduate students, contributing to the academic development of emerging researchers. His professional experience also includes training in specialized areas such as project budgeting, writing research proposals, and applying statistical methods using software like STATA, STATISTICA, and SPSS. These roles have honed his skills in research leadership, project management, and mentorship.

Research Interests

Daniel Mmereki’s research interests lie at the intersection of environmental science, exposure science, and public health. He focuses on understanding the environmental factors that influence human health, particularly in the context of global environmental changes. His work involves assessing exposure to environmental pollutants and their health effects, with a special interest in how these factors contribute to chronic diseases. Daniel’s recent interests also include exploring the application of machine learning and AI techniques in public health research, aiming to identify patterns and trends in environmental health data. He is particularly passionate about addressing global public health challenges through data-driven approaches and interdisciplinary solutions. His research contributes to a better understanding of environmental health risks and aims to inform policy and public health strategies aimed at reducing these risks.

Awards and Honors

Daniel Mmereki has been recognized for his significant contributions to environmental science and public health research. His notable recognition includes the NRF C2 rating, which signifies considerable international recognition for his research impact and influence. This prestigious rating is a testament to his contributions to the field, particularly in the areas of exposure science and environmental health. Daniel has also received various honors and awards throughout his academic and professional career for his innovative research projects and academic leadership. His ability to merge advanced statistical methods with environmental science has positioned him as a respected researcher in his field. As he continues his career, Daniel’s work is expected to inspire further recognition for its global impact on public health and environmental policy.

Conclusion

Daniel Mmereki has a solid academic and research foundation with significant international experience and recognition in his field. His achievements in environmental science, exposure science, and public health demonstrate his capability for the Best Researcher Award. However, to further solidify his candidacy, he could focus on enhancing the public health impact of his work, increasing his publication presence, and applying machine learning in novel ways within his research areas. Overall, he has the potential to be a standout researcher with further refinement of these aspects.

Publications Top Noted

  • Bladder cancer: a retrospective audit at a single radiation oncology unit of an academic hospital in Johannesburg, South Africa
    📝 Authors: Oliver, T., Ramiah, D., Mmereki, D., Hugo, M., Ayeni, O.A.
    📅 Year: 2024
    📚 Citations: 0
  • Phthalates on indoor surfaces and associated exposure via surface touch behavior: Observation in university dormitories and its implications
    📝 Authors: Yuan, F., Sun, Y., Li, N., Xu, Y., Bu, Z.
    📅 Year: 2024
    📚 Citations: 0
  • The management and prevention of food losses and waste in low- and middle-income countries: A mini-review in the Africa region
    📝 Authors: Mmereki, D., David, V.E., Wreh Brownell, A.H.
    📅 Year: 2024
    📚 Citations: 6
  • Reducing children’s exposure to di(2-ethylhexyl) phthalate in homes and kindergartens in China: Impact on lifetime cancer risks and burden of disease
    📝 Authors: Tao, D., Sun, W., Mo, D., Dong, C., Bu, Z.
    📅 Year: 2024
    📚 Citations: 1
  • Status of health care waste management plans and practices in public health care facilities in Gauteng Province, South Africa
    📝 Authors: Ramodipa, T., Engelbrecht, K., Mokgobu, I., Mmereki, D.
    📅 Year: 2023
    📚 Citations: 1
  • Application of Innovative Materials and Methods in Green Buildings and Associated Occupational Exposure and Health of Construction Workers: A Systematic Literature Review
    📝 Authors: Mmereki, D., Brouwer, D.
    📅 Year: 2022
    📚 Citations: 1
  • Waste-to-energy in a developing country: The state of landfill gas to energy in the Republic of South Africa
    📝 Authors: Mbazima, S.J., Masekameni, M.D., Mmereki, D.
    📅 Year: 2022
    📚 Citations: 14
  • Exposure to phthalates in the sleeping microenvironment of university dormitories: A preliminary estimate based on skin wipe and dust sampling
    📝 Authors: Yao, J., Hu, M., Yuan, F., Zheng, Y., Bu, Z.
    📅 Year: 2022
    📚 Citations: 8
  • Modeled exposure to phthalates via inhalation and dermal pathway in children’s sleeping environment: A preliminary study and its implications
    📝 Authors: Bu, Z., Dong, C., Mmereki, D., Ye, Y., Cheng, Z.
    📅 Year: 2021
    📚 Citations: 13
  • Phthalates in Chinese vehicular environments: Source emissions, concentrations, and human exposure
    📝 Authors: Bu, Z., Hu, M., Yuan, F., Cao, J., Zheng, Y.
    📅 Year: 2021
    📚 Citations: 8