Vladimir Demchenko | Engineering and Technology | Outstanding Contribution Award

Published on by Research Hypothesis

Outstanding Contribution Award

Vladimir Demchenko
Institute of Technical Thermophysics of the NAS of Ukraine

Vladimir Demchenko
Affiliation Institute of Technical Thermophysics of the NAS of Ukraine
Country Ukraine
Scopus ID 57560678500
Documents 4
Citations 4
h-index 1
Subject Area Engineering and Technology
Event International Research Hypothesis Excellence Award
ORCID 0000-0002-4211-356X

Vladimir Demchenko, a researcher affiliated with the Institute of Technical Thermophysics of the National Academy of Sciences of Ukraine. His academic activities are situated within the broader domain of Engineering and Technology, with contributions reflected through indexed publications, citation records, and international researcher identifiers. The evaluation presented herein considers measurable research indicators, publication activity, scholarly visibility, and alignment with the objectives of the International Research Hypothesis Excellence Award.[1][2]

Abstract

This article presents a structured academic overview of Vladimir Demchenko and evaluates his research profile in relation to the Outstanding Contribution Award under the International Research Hypothesis Excellence Award framework. The assessment incorporates publication output, citation performance, researcher identifiers, institutional affiliation, and scholarly visibility. The objective is to provide a concise, evidence-based summary of academic achievements and research engagement within Engineering and Technology disciplines.[1][3]

Keywords

Engineering and Technology, Technical Thermophysics, Scientific Publications, Scopus Author Profile, Research Evaluation, Academic Recognition, Scholarly Impact, International Research Awards, Research Metrics, ORCID.

Introduction

Academic awards frequently consider both qualitative and quantitative indicators when recognizing scholarly achievement. These indicators include publication activity, citation performance, research visibility, and participation in internationally recognized indexing systems. Vladimir Demchenko’s academic profile demonstrates engagement in engineering-related research supported by institutional affiliation with a recognized scientific organization in Ukraine.[1][2]

Research Profile

  • Indexed Documents: 4
  • Citation Count: 4
  • h-index: 1

The researcher maintains internationally recognized scholarly identifiers that support accurate attribution of publications and facilitate research discoverability across academic databases. Such identifiers contribute to transparency in scholarly communication and support the integrity of bibliometric assessments.[2][3]

Research Contributions

Vladimir Demchenko’s scholarly activities are associated with technical thermophysics and engineering-oriented investigations. Research in these areas contributes to the understanding of thermal processes, energy systems, and technological applications that support industrial and scientific advancement. Publications indexed in international databases indicate participation in peer-reviewed scholarly communication and dissemination of research findings.[1]

Publications

The researcher’s publication portfolio includes documents indexed within Scopus and associated scholarly databases. Publication records serve as documented evidence of academic engagement and provide the foundation for citation-based evaluation metrics.[1]

Research Impact

Research impact may be assessed through citation activity, publication dissemination, and visibility within recognized indexing systems. Available bibliometric indicators show four indexed documents, four citations, and an h-index of one. While bibliometric measures represent only one dimension of scholarly influence, they provide standardized indicators frequently used in research evaluation frameworks.[1]

  • Scopus-indexed documents: 4.
  • Recorded citations: 4.
  • h-index value: 1.

Award Suitability

Based on available academic indicators, Vladimir Demchenko demonstrates attributes commonly considered during evaluations for scholarly recognition programs. These include active affiliation with a scientific institution, documented publication activity, measurable citation performance, and participation in international researcher identification systems. Such factors support consideration for the Outstanding Contribution Award within the context of the International Research Hypothesis Excellence Award.[1][4]

Conclusion

Vladimir Demchenko’s academic profile reflects participation in engineering and technology research through indexed publications, citation activity, and recognized scholarly identifiers. The available evidence indicates ongoing engagement with scientific communication and research dissemination. Within the framework of academic recognition and award assessment, the documented profile provides a verifiable basis for consideration under the Outstanding Contribution Award category.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Vladimir Demchenko, Author ID 57560678500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57560678500
  2. ORCID. (n.d.). ORCID record for Vladimir Demchenko.
    https://orcid.org/0000-0002-4211-356X
  3. Google Scholar. (n.d.). Scholar profile of Vladimir Demchenko.
    https://scholar.google.com/citations?user=90vEIBUAAAAJ&hl=en&oi=sra
  4. Research Hypothesis. (n.d.). International Research Hypothesis Excellence Award.
    https://researchhypothesis.com/
  5. DOI Foundation. (2020). Engineering research publication reference.
    https://doi.org/10.1016/j.energy.2020.117894

Ayse Tugba Yapici | Engineering and Technology | Best Research Article Award

Published on by Research Hypothesis

Ms. Ayse Tugba Yapici | Engineering and Technology | Best Research Article Award

Ms. Ayse Tugba Yapici | Engineering and Technology | Best Research Article Award | Doctoral Researcher | Kocaeli University | Turkey 

Ms. Ayse Tugba Yapici is an emerging scholar in electrical engineering whose research bridges intelligent energy systems, electric vehicles, and artificial intelligence–driven prediction technologies, reflecting her strong academic preparation and expanding scientific footprint. She earned her PhD in Electrical Engineering from Kocaeli University, where her doctoral studies centered on deep learning approaches for forecasting electric vehicle demand, charging behaviors, and integrated grid impacts. Prior to this, she completed her MSc in Electrical Engineering at Kocaeli University and her BSc in Electrical and Electronics Engineering at Bulent Ecevit University, progressively building a foundation in power electronics, system modeling, and smart energy infrastructures. Professionally, Ms. Ayse Tugba Yapici has gained significant experience as a doctoral researcher contributing to multiple academic studies involving EV charging station optimization, boosting converter analyses, AI-based prediction models, and data-driven approaches for regional transportation planning. Her research interests span electric vehicle technologies, charging station planning, induction heating systems, renewable energy integration, IoT-based intelligent mobility frameworks, and machine learning algorithms including LSTM, GRU, and MLR for performance forecasting. She possesses strong research skills in deep learning model development, Python-based simulation, DigSilent-based power system design, MATLAB/Simulink modeling, geographical data mapping, algorithm optimization, and statistical evaluation metrics such as R², MSE, MAE, and DTW. Her body of work includes multiple SCI and Scopus-indexed publications addressing EV growth prediction, secure IoT frameworks for autonomous taxis, and comparative analyses of deep learning methods for charging time estimation. Ms. Ayse Tugba Yapici has been recognized within academic circles for her contributions to advancing sustainable mobility solutions and has received commendations for her research productivity and multidisciplinary collaborations within Türkiye. Her work continues to support improved policy development, smarter grid integration, and future-ready electric mobility infrastructures. She remains actively involved in scholarly dissemination through conference participation, collaborative studies with engineering experts, and mentorship of junior researchers. Through her growing publication record, analytical expertise, and commitment to advancing intelligent transportation systems, Ms. Ayse Tugba Yapici demonstrates strong potential for continued impact in electrical engineering research, contributing to the broader goals of sustainable energy development, smart city transitions, and technology-driven societal advancement.

Profile: Scopus | ORCID

Featured Publications

  1. Yapici, A. T., Abut, N., & Erfidan, T. (2025). Comparing the effectiveness of deep learning approaches for charging time prediction in electric vehicles: Kocaeli example. Energies. Year: 2025

  2. Yapici, A. T., & Abut, N. (2025). Geleceğe yönelik elektrikli araç ve şarj istasyonu sayılarının LSTM ve GRU derin öğrenme yöntemleri kullanılarak tahmin edilmesi: Kocaeli ili örneği. Politeknik Dergisi. Year: 2025

  3. Yapici, A. T., Abut, N., & Yildirim, A. (2025). Future estimation of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and multiple linear regression approaches. Applied Sciences. Year: 2025

  4. Yapici, A. T., & Abut, N. (2025). An intelligent and secure IoT-based framework for predicting charging and travel duration in autonomous electric taxi systems. Applied Sciences. Year: 2025

  5. Yapici, A. T., & Abut, N. (2024). Elektrikli araç devresinde kullanılan boost dönüştürücünün analizine farklı yaklaşımlar. Black Sea Journal of Engineering and Science. Year: 2024

  6. Yapici, A. T., & Abut, N. (2024). Elektrikli araç şarj istasyonu konum tasarımında, DigSilent yazılımı kullanılarak Kocaeli Üniversitesi Umuttepe Kampüsü için örnek uygulama. Black Sea Journal of Engineering and Science. Year: 2024

  7. Yapici, A. T. (2024). Estimation of future number of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and MLR approaches. Applied Sciences. Year: 2024