Zhuldyz Tashenova | Computer Science | Innovative Research Award

Published on by Award and Honors

Innovative Research Award

Zhuldyz Tashenova
Gumilyov Eurasian National University, Kazakhstan

Zhuldyz Tashenova
Affiliation Gumilyov Eurasian National University
Country Kazakhstan
Scopus ID 55669178600
Documents 15
Citations 26
h-index 3
Subject Area Computer Science
Event International Award and Honors
ORCID 0000-0003-3051-1605

Zhuldyz Tashenova is a researcher in the field of computer science whose scholarly activities encompass cybersecurity, software security assessment, machine learning, computer vision, augmented reality applications, and information protection systems. Her academic output demonstrates an interdisciplinary approach that integrates emerging digital technologies with practical solutions for organizational security and data management. The Innovative Research Award recognizes contributions that support technological advancement and knowledge development through peer-reviewed research and innovation.[1]

Abstract

This article presents an overview of the academic achievements and research contributions of Zhuldyz Tashenova. Her work addresses contemporary challenges in cybersecurity, vulnerability assessment, machine learning, computer vision, and digital transformation. Through peer-reviewed publications, she has contributed to the development of methodologies that enhance security infrastructures, improve predictive analytics, and support innovative educational and technological applications.[2]

Keywords

Cybersecurity, Computer Science, Machine Learning, Computer Vision, Augmented Reality, Vulnerability Detection, Information Security, Data Protection.

Introduction

The growing complexity of digital ecosystems has intensified the need for advanced security mechanisms and intelligent computational solutions. Researchers in computer science increasingly focus on integrating machine learning, software analysis, and secure networking technologies to address evolving threats. Within this context, Zhuldyz Tashenova has contributed to studies that explore both theoretical frameworks and practical implementations across multiple domains of information technology.[3]

Research Profile

According to available scholarly records, Tashenova has authored fifteen indexed publications with twenty-six citations and an h-index of three. Her research profile reflects active engagement in cybersecurity, software vulnerability analysis, agricultural data analytics, and immersive technologies. These areas illustrate a commitment to interdisciplinary research and applied innovation.[1]

Research Contributions

  • Development of a multi-tier security model integrating human factors, identification mechanisms, and secure networking architectures.
  • Creation of SentinelCMS, a framework for proactive vulnerability detection using static taint analysis and bidirectional LSTM methods.
  • Application of machine learning techniques for early crop type classification using seasonal spectral features.
  • Research on augmented reality games supported by computer vision technologies to improve sports motivation.
  • Studies focused on enterprise personal data protection and information security management.

Publications

Representative publications include Design of a Multi-Tier Security Model Encompassing Human Factors, Identification Processes, and Secure Networking (2026), SentinelCMS: Proactive Vulnerability Detection in CMS Plugins Using Static Taint Analysis and Bidirectional LSTM (2026), Early Crop Type Classification Based on Seasonal Spectral Features and Machine Learning Methods (2026), and Development of Computer Vision-enabled Augmented Reality Games to Increase Motivation for Sports (2023). These publications demonstrate research diversity and practical relevance across multiple technological domains.[4]

Research Impact

The impact of Tashenova’s work can be observed through contributions to cybersecurity methodologies, machine learning applications, and digital innovation initiatives. Her studies provide practical frameworks that may support organizations in strengthening security infrastructures while also expanding opportunities for intelligent data-driven decision-making. The integration of emerging technologies across diverse application areas highlights the broader relevance of her scholarly efforts.[5]

Award Suitability

Zhuldyz Tashenova’s research portfolio aligns with the objectives of the Innovative Research Award by demonstrating sustained scholarly productivity, interdisciplinary collaboration, and engagement with contemporary technological challenges. Her contributions to cybersecurity, machine learning, and digital innovation illustrate a commitment to advancing scientific knowledge while addressing practical needs within modern information systems.[6]

Conclusion

The academic record of Zhuldyz Tashenova reflects meaningful contributions to computer science research, particularly in areas related to cybersecurity, machine learning, and digital technologies. Through peer-reviewed publications and applied research initiatives, she has contributed to the advancement of knowledge in fields that remain highly relevant to contemporary scientific and technological development.

References

  1. Elsevier. (n.d.). Scopus author details: Zhuldyz Tashenova, Author ID 55669178600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55669178600
  2. Tashenova, Z. (2026). Design of a Multi-Tier Security Model Encompassing Human Factors, Identification Processes, and Secure Networking.
    DOI: https://doi.org/10.3390/info17060537
  3. Tashenova, Z. (2026). SentinelCMS: Proactive Vulnerability Detection in CMS Plugins Using Static Taint Analysis and Bidirectional LSTM.
    https://doi.org/10.3390/app16115471
  4. Tashenova, Z. (2026). Early Crop Type Classification Based on Seasonal Spectral Features and Machine Learning Methods.
    https://doi.org/10.3390/technologies14040221
  5. Tashenova, Z. (2023). Development of Computer Vision-enabled Augmented Reality Games to Increase Motivation for Sports.
    https://doi.org/10.14569/IJACSA.2023.0140428
  6. Journal of Theoretical and Applied Information Technology. (2022). Research and Development of Personal Data Protection Systems in Enterprises.

Hyeonmin Jeon | Electrical Engineering | Best Research Article Award

Published on by Award and Honors

Best Research Article Award

Hyeonmin Jeon
Korea Maritime and Ocean University

Hyeonmin Jeon
Affiliation Korea Maritime and Ocean University
Country South Korea
Scopus ID 57190843421
Documents 29
Citations 349
h-index 10
Subject Area Electrical Engineering
Event Award and Honors
ORCID
0000-0001-8303-1248

Hyeonmin Jeon is affiliated with Korea Maritime and Ocean University in South Korea and has contributed to the field of Electrical Engineering through scholarly research focused on advanced engineering systems, electronic technologies, and applied scientific innovation. The researcher has established a measurable academic impact through indexed publications, citation performance, and interdisciplinary collaboration within engineering-related domains.[1] The academic profile demonstrates sustained engagement in research activities relevant to emerging electrical engineering technologies and scientific dissemination through internationally indexed publications.[2]

Abstract

This article presents an academic overview of Hyeonmin Jeon and the researcher’s scholarly contributions within the discipline of Electrical Engineering. The profile reflects measurable scientific activity through Scopus-indexed publications, citation metrics, and research dissemination across engineering-oriented studies. The evaluation highlights publication productivity, citation influence, and participation in technological research initiatives relevant to contemporary engineering systems.[1] The article further examines the researcher’s suitability for recognition under the Best Research Article Award category associated with the Award and Honors platform.

Keywords

Electrical Engineering, Engineering Research, Research Excellence Award, Scientific Publications, Research Impact, Scopus Indexing, Academic Recognition, Technology Innovation, Renewable Energy Systems, Artificial Intelligence in Engineering, Smart Grid Technology, Sustainable Engineering, Applied Electrical Sciences, Scientific Impact

Introduction

Electrical Engineering remains one of the most influential scientific disciplines supporting technological development, industrial automation, communication systems, and computational innovation. Researchers in this field contribute to the advancement of modern engineering applications through experimental investigations, analytical methodologies, and interdisciplinary collaboration.

Hyeonmin Jeon has developed an academic research profile characterized by peer-reviewed publications and measurable citation indicators. Affiliated with Korea Maritime and Ocean University, the researcher’s work contributes to engineering-oriented scientific literature and demonstrates active participation in contemporary research environments.[1] The available bibliometric indicators indicate scholarly consistency and engagement with internationally indexed research platforms.[2]

Research Profile

The academic profile of Hyeonmin Jeon demonstrates sustained scholarly productivity within the domain of Electrical Engineering. The researcher possesses a Scopus Author ID of 57190843421 and has produced 29 indexed documents with 349 citations and an h-index of 10.[1] These bibliometric indicators suggest consistent academic engagement and research dissemination across recognized scientific publication channels.

Research conducted within engineering disciplines frequently involves analytical modeling, system optimization, electronic design methodologies, and technology-oriented experimentation. The researcher’s publication record indicates participation in scientific discussions relevant to engineering advancement and interdisciplinary problem-solving approaches.

Research Contributions

Hyeonmin Jeon has contributed to the dissemination of engineering knowledge through indexed scientific publications addressing themes associated with Electrical Engineering and applied technological systems. The research contributions reflect participation in studies emphasizing engineering innovation, technical analysis, and scientific methodology.

  • Development and analysis of engineering-oriented research methodologies.
  • Contribution to peer-reviewed scientific literature within Electrical Engineering.
  • Participation in interdisciplinary engineering and technological investigations.
  • Support for academic knowledge dissemination through indexed publications and citations.

The cumulative citation record associated with the researcher’s publications suggests that the work has achieved visibility within academic and technical research communities.[1] Citation-based impact indicators remain widely recognized as measures of scholarly influence and research relevance within scientific publishing systems.

Publications

The publication portfolio associated with Hyeonmin Jeon reflects participation in peer-reviewed engineering research and internationally indexed academic dissemination. Indexed publication records contribute to scholarly communication and support the evaluation of scientific influence within engineering disciplines.[1] Representative DOI-linked scientific publication references within engineering and technology-related research environments may include structured digital object identifiers for long-term citation tracking and academic indexing.

Research Impact

Research impact within scientific disciplines is frequently evaluated through citation performance, publication consistency, and academic visibility across recognized indexing platforms. Hyeonmin Jeon’s citation profile indicates measurable scholarly engagement, with 349 citations and an h-index of 10 demonstrating recognized academic interaction with published research outputs.[1]

Engineering research contributes significantly to technological innovation, infrastructure development, computational systems, and industrial modernization. Researchers participating in these areas support broader scientific progress through the dissemination of validated methodologies and peer-reviewed investigations.

Award Suitability

The academic profile of Hyeonmin Jeon demonstrates characteristics commonly associated with scholarly recognition within engineering-related award categories. Publication productivity, citation performance, and participation in internationally indexed research dissemination collectively support consideration for the Best Research Article Award under the Award and Honors initiative.

The researcher’s documented scholarly activity reflects measurable academic engagement and sustained contributions to Electrical Engineering research. The combination of citation metrics, publication consistency, and institutional affiliation indicates a recognized presence within the academic engineering research community.[1]

Conclusion

Hyeonmin Jeon represents an active academic contributor within the field of Electrical Engineering through indexed publications, measurable citation metrics, and engagement in engineering-focused scientific research. The available academic indicators demonstrate scholarly consistency and research visibility within recognized publication systems.[1]

The researcher’s academic profile aligns with the objectives of professional research recognition initiatives emphasizing publication quality, scientific dissemination, and measurable scholarly influence. The profile therefore reflects suitability for consideration within academic distinction and award-oriented evaluation frameworks.

References

  1. Elsevier. (n.d.). Scopus author details: Hyeonmin Jeon, Author ID 57190843421. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57190843421
  2. ORCID. (n.d.). Research profile of Hyeonmin Jeon. ORCID Registry.
    https://orcid.org/0000-0001-8303-1248
  3. Kim, S., & Jeon, H. (2025). Empirical research to design rule-based strategy control with energy consumption minimization strategy of energy management systems in hybrid electric propulsion systems. Journal of Marine Science and Engineering. https://www.mdpi.com/2077-1312/13/9/1695
  4. Jung, J., Jeon, H., Kim, H., & Kim, S. (2025). A novel approach for the systematic evaluation and optimization of performance and emissions in hybrid electric propulsion systems. Journal of Marine Science and Engineering, 13(2),328. https://www.mdpi.com/2077-1312/13/2/328
  5. Roh, C., Jeon, H.-m., Kim, S.-w., Kim, J.-s., Song, S.-w., Lee, N.-y., & Kang, S.-c. (2025). A study on equivalent series resistance estimation compensation for DC-link capacitor life diagnosis of propulsion drive in electric propulsion ship. Processes, 13(2), 291.  https://www.mdpi.com/2227-9717/13/2/291

Phuet Prasertcharoensuk | Chemical Engineering | Research Excellance Award

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Assist. Prof. Dr. Phuet Prasertcharoensuk | Chemical Engineering | Research Excellance Award

Lecturer | The University of  Chulalongkorn University | Thailand

Assist. Prof. Dr. Phuet Prasertcharoensuk is an accomplished chemical engineering researcher specializing in sustainable energy technologies, biomass conversion, and hydrogen production. His research emphasizes thermochemical processing, heterogeneous catalysis, and carbon dioxide capture and utilization to support cleaner and more efficient energy systems. With 18 scholarly publications, 299 citations, and an h-index of 10, he has contributed to advancements in biomass gasification, hybrid energy systems, and renewable fuel development. His work also incorporates computational modeling, process integration, and innovative approaches such as cold plasma technologies. Through interdisciplinary research, he aims to improve energy efficiency, reduce environmental impact, and support the transition toward low-carbon and circular energy systems.

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Rossella Marmo | Architectural engineering | Research Excellence Award

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Dr. Rossella Marmo | Architectural engineering | Research Excellence Award

Researcher | The University of  Naples Federico II | Italy

Dr. Rossella Marmo is a researcher in architectural engineering whose work advances resilient and sustainable built environments through digital innovation and risk-based methodologies. Her research integrates Building Information Modelling (BIM) with performance monitoring, enabling improved facility management and lifecycle decision-making. She has developed frameworks for assessing multi-hazard vulnerability of buildings, particularly focusing on hospital resilience, urban risk, and infrastructure safety. Her contributions include stress-testing models, façade vulnerability assessment, and data-driven approaches to disaster risk reduction. Her research supports safer cities by linking building performance with urban-scale impacts. With 21 publications, 210 citations, and an h-index of 6, her scholarly output reflects a strong commitment to advancing resilient infrastructure and sustainable architectural systems through interdisciplinary approaches.

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Anjan Kumar Reddy Ayyadapu | Computer Science | Research Excellence Award

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Mr. Anjan Kumar Reddy Ayyadapu | Computer Science | Research Excellence Award

Bigdata Solution Architect / IT Cloudera | The University of Cloudera | United States

MR. Anjan Kumar Reddy Ayyadapu is a researcher focused on artificial intelligence, machine learning, and cloud security, particularly in the application of AI-driven big data analytics to strengthen cybersecurity frameworks. His research addresses critical areas such as privacy-preserving techniques, secure cloud infrastructures, and intelligent incident response systems within multi-cloud environments. By integrating machine learning models with advanced cryptographic methods, his work aims to develop scalable and efficient solutions for safeguarding sensitive data in distributed systems. He has authored 5 scholarly publications, accumulating 73 citations and an h-index of 3, demonstrating measurable research impact. His contributions continue to support the advancement of secure, intelligent, and resilient cloud computing technologies in modern digital ecosystems.

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Alexandra Takou | Computer Science | Research Excellance Award

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 Dr. Alexandra Takou | Computer Science | Research Excellance Award

Post Doctoral Researcher | The University of  Thessaly | Greece

Dr. Alexandra Takou conducts research in hardware security, reliability-aware VLSI design, and fault-tolerant integrated circuits, with particular emphasis on hardware Trojans, electromagnetic and power grid based attacks, and soft error propagation mechanisms. Her work introduces sensitivity-aware and reliability-driven methodologies for Trojan design, placement, and security closure, addressing emerging threats in advanced semiconductor technologies. She has authored 5 peer-reviewed research documents published in reputable conferences and international journals, contributing novel approaches to EM-based attacks, SET-induced soft errors, and secure circuit design methodologies. Her publications have accumulated 7 citations, and she holds an h-index of 2, reflecting a focused and developing impact within the hardware security and electronic design automation research domains.

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