Asim Sinan Yuksel | Artificial Intelligence | Research Excellence Award

Published on by Awards and Recognitions

Research Excellence Award

Asim Sinan Yuksel

Department of Computer Engineering, Süleyman Demirel University, Turkey

Asim Sinan Yuksel
Affiliation Süleyman Demirel University
Country Turkey
Scopus ID 36999050000
Documents 25
Citations 441
h-index 7
Subject Area Artificial Intelligence
Event Research Awards and Recognitions
ORCID 0000-0003-1986-5269
Google Scholar 1-asL00AAAAJ

Asim Sinan Yuksel is a Turkish computer engineer, researcher, academic administrator, and Associate Professor in the Department of Computer Engineering at Süleyman Demirel University. His scholarly activities encompass artificial intelligence, natural language processing, large language models, vision-language systems, machine learning, cybersecurity, intelligent transportation systems, and multi-agent technologies. Through academic supervision, research leadership, editorial service, and scientific publication, he has contributed to the advancement of applied artificial intelligence and computational research in Türkiye and internationally.[1]

Abstract

This article presents an academic profile of Asim Sinan Yuksel, highlighting his educational background, academic appointments, supervised graduate research, funded projects, scholarly publications, editorial activities, and institutional service. His work spans artificial intelligence, machine learning, natural language processing, cybersecurity, intelligent transportation systems, and emerging large language model applications. The profile also evaluates his suitability for recognition within the context of research excellence and academic achievement.[1]

Keywords

Artificial Intelligence, Natural Language Processing, Large Language Models, Vision-Language Models, Machine Learning, Multi-Agent Systems, Cybersecurity, Intelligent Transportation Systems, Deep Learning, Academic Research.

Introduction

Asim Sinan Yuksel has pursued a multidisciplinary academic career integrating software engineering, intelligent systems, cybersecurity, and data-driven computational methods. Following undergraduate education in Computer Engineering at Ege University, graduate studies at Indiana University Bloomington, and doctoral research at Istanbul University, he developed expertise in software-based security analysis for mobile applications and advanced artificial intelligence applications. His academic trajectory demonstrates a consistent focus on applied research, graduate supervision, and institutional development.[1]

Research Profile

Asim Sinan Yuksel received his Ph.D. in Computer Engineering from Istanbul University on 10 June 2015. His doctoral dissertation, entitled Design of a Software-Based Service for Analyzing the Security Risks of Mobile Applications, was supervised by Prof. Ahmet Sertbaş. Prior to doctoral completion, he earned a master’s degree in Computer Science from Indiana University Bloomington and a bachelor’s degree in Computer Engineering from Ege University.

His academic appointments at Süleyman Demirel University include Research Assistant (2012–2016), Assistant Professor (2016–2021), and Associate Professor (2021–present). He also served as Vice Chair of the Department of Computer Engineering between 2016 and 2018, contributing to departmental administration and academic planning.

Research Contributions

The research portfolio of Asim Sinan Yuksel includes principal investigator and researcher roles in projects related to machine learning, text mining, transportation analytics, cybersecurity awareness, robotic coordination, electric vehicle optimization, and large language model-driven expert systems. These initiatives demonstrate engagement with both theoretical and applied dimensions of artificial intelligence research.

  • Machine learning-based modeling of driver behaviors.
  • Knowledge discovery in social networks using text mining techniques.
  • Large language model-based multi-agent systems for animal health applications.
  • Victim localization in earthquake debris through multi-robot coordination.
  • Energy-efficient route optimization for electric vehicle fleets.
  • Cybersecurity education and awareness initiatives.

Graduate supervision activities include five completed master’s theses and three completed doctoral dissertations addressing machine learning, deep learning, text mining, video summarization, optimization, and educational analytics. These supervisory contributions have supported capacity building within computer science and artificial intelligence research.

Publications

The publication record of Asim Sinan Yuksel spans artificial intelligence, optimization, intelligent transportation systems, educational technologies, and computer vision. Notable contributions include machine learning-based driver risk assessment, hybrid optimization algorithms, blended learning evaluation, deep learning applications, and augmented reality navigation systems, reflecting interdisciplinary research impact and scholarly dissemination.[2][3][4][5]

The publication record includes international conference proceedings, peer-reviewed journal articles, book chapters, and national conference papers. Representative publications include the following works.[2][3]

  1. A novel hybrid PSO–GWO algorithm for optimization problems.
  2. Evaluation of blended learning approach in computer engineering education.
  3. Driver’s black box: A system for driver risk assessment using machine learning and fuzzy logic.
  4. Derin öğrenme teknikleri ile nesne tespiti ve takibi üzerine bir inceleme.
  5. Mobile indoor navigation system in iOS platform using augmented reality.

In addition to research publications, Asim Sinan Yuksel serves as an Editorial Board Member of PLOS ONE, an internationally recognized SCI-Expanded indexed journal. This role reflects participation in scholarly quality assurance and international academic publishing activities.

Research Impact

The research impact of Asim Sinan Yuksel can be observed through interdisciplinary publication activity, graduate supervision, funded project leadership, editorial responsibilities, and sustained contributions to artificial intelligence and software engineering. His research has addressed practical problems in transportation safety, educational analytics, optimization, cybersecurity, and intelligent information systems.[2][4]

His professional experience as a contract software developer for the Social Security Institution of Türkiye further complements his academic work by providing experience in enterprise-level public-sector software development, e-government services, and secure digital infrastructures.

Award Suitability

Consideration for a Research Excellence Award may be supported by several measurable indicators, including sustained academic service, funded research leadership, interdisciplinary publication output, doctoral and master’s supervision, editorial responsibilities, and institutional engagement. His record demonstrates continued participation in national and international research initiatives while contributing to the development of emerging artificial intelligence technologies.

Additional recognition includes the Publication Incentive Award granted by Süleyman Demirel University in 2019. Combined with ongoing TÜBİTAK-supported projects and scholarly leadership activities, this profile aligns with common evaluation criteria used in research recognition programs.

Conclusion

Asim Sinan Yuksel represents a scholarly profile characterized by academic advancement, interdisciplinary research, graduate mentorship, project leadership, editorial service, and applied innovation. His contributions to artificial intelligence, machine learning, natural language processing, cybersecurity, and intelligent systems support his recognition within academic research and innovation communities. Continued involvement in emerging fields such as large language models and multi-agent systems positions his work within contemporary directions of computer science research.

References

  1. Elsevier. (n.d.). Scopus author details: Asim Sinan Yuksel, Author ID 36999050000. Scopus. https://www.scopus.com/authid/detail.uri?authorId=36999050000
  2. Şenel, F. A., Gökçe, F., Yüksel, A. S., & Yiğit, T. (2019). A novel hybrid PSO–GWO algorithm for optimization problems. Engineering with Computers. DOI/URL: https://link.springer.com/article/10.1007/s00366-018-0668-5
  3. Yiğit, T., Koyun, A., Yüksel, A. S., & Cankaya, I. A. (2014). Evaluation of blended learning approach in computer engineering education. Procedia – Social and Behavioral Sciences. DOI: https://doi.org/10.1016/j.sbspro.2014.05.140
  4. Yüksel, A. S., & Atmaca, Ş. (2020). Driver’s black box: A system for driver risk assessment using machine learning and fuzzy logic. Journal of Intelligent Transportation Systems. DOI: https://doi.org/10.1080/15472450.2020.1852083
  5. Cankaya, I. A., Koyun, A., Yiğit, T., & Yüksel, A. S. (2015). Mobile indoor navigation system in iOS platform using augmented reality. International Conference on Application of Information and Communication Technologies. DOI: https://doi.org/10.1109/ICAICT.2015.7338563

Jidan Huang | Artificial Intelligence | Innovative Research Award

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Innovative Research Award

Jidan Huang

Donghua University, China

Jidan Huang
Affiliation Donghua University
Country China
Scopus ID 57193425191
Documents 10
Citations 36
h-index 4
Subject Area Artificial Intelligence
Event Research Awards and Recognitions
ORCID 0000-0003-2547-0212

Jidan Huang is a Chinese academic affiliated with Donghua University whose research combines artificial intelligence, tourism decision-making, logistics management, and multi-objective fuzzy evaluation. His scholarly activities focus on sustainability assessment, intelligent decision-support systems, and advanced multi-criteria evaluation methodologies applied across tourism, management, and operations research disciplines.[1]

Abstract

This article presents a concise academic overview of Jidan Huang, Associate Professor and Senior Experimentalist at Donghua University. His work spans artificial intelligence, tourism management, logistics decision-making, sustainability evaluation, and fuzzy multi-criteria analysis, emphasizing quantitative frameworks that support evidence-based planning and intelligent decision processes across interdisciplinary research environments.[1]

Keywords

Artificial Intelligence; Tourism Management; Multi-Criteria Decision-Making; Fuzzy TOPSIS; Sustainability Assessment; Green Logistics; Decision Support Systems; Cultural Heritage Tourism; Evaluation Systems; Operations Management.

Introduction

Jidan Huang earned a Bachelor of Engineering from Shanghai Maritime University, followed by a Master of Science in Mathematics and a Doctor of Philosophy in Management Science and Engineering from Donghua University. His interdisciplinary educational background supports research integrating mathematics, management science, artificial intelligence, and applied decision analytics.[2]

Research Profile

As Associate Professor at the Glorious Sun School of Business and Management, Donghua University, Huang supervises graduate students and conducts research in tourism decision-making, logistics optimization, artificial intelligence applications, and multi-objective fuzzy evaluation. He also serves as a peer reviewer for several systems science and operations research journals.[2]

Research Contributions

  • Development of three-interval TOPSIS and fuzzy evaluation methodologies.
  • Research on sustainable tourism assessment and optimization strategies.
  • Green logistics evaluation supporting carbon peaking and carbon neutrality goals.
  • Application of artificial intelligence and neural networks in recognition systems.
  • Multi-criteria decision-making frameworks for regional and industrial evaluation.

Publications

Jidan Huang’s publication record includes research on sustainability evaluation, tourism optimization, green logistics, fuzzy decision-making, and artificial intelligence. Representative studies demonstrate the application of TOPSIS, Delphi methods, fuzzy AHP, and convolutional neural networks to address complex evaluation and recognition problems across multiple sectors.[3][4][5][6]

  1. Integrating Life Cycle Assessment and TOPSIS for Product-Level Sustainability Evaluation of Automotive Vehicles.
  2. Evaluation and Development Path Optimization of Rural Low-Altitude Tourism Using a Triangular Fuzzy TOPSIS Approach.
  3. A Model Based on Delphi and Three-Interval TOPSIS: Sustainable Evaluation of Green Logistics Under the Goals of Carbon Peaking and Carbon Neutrality.
  4. Assessing the Sustainable Development of the Tourism Industry Based on Fuzzy AHP and Grey Relational TOPSIS.
  5. Recognition Method for Stone Carved Calligraphy Characters Based on a Convolutional Neural Network.

Research Impact

According to available author metrics, Jidan Huang has produced 10 indexed publications, accumulated 36 citations, and achieved an h-index of 4. His studies contribute to sustainability evaluation, intelligent decision-making, tourism development analysis, and logistics optimization through rigorous quantitative methodologies.[1]

Award Suitability

Jidan Huang’s combination of interdisciplinary research, scholarly publication, postgraduate supervision, and educational achievements supports recognition within research award programs. His contributions to artificial intelligence applications, sustainability assessment, and decision-support methodologies demonstrate continued engagement with contemporary academic and societal challenges.[2]

Conclusion

Jidan Huang maintains an active academic profile centered on artificial intelligence, tourism management, logistics decision-making, and fuzzy evaluation systems. His research outputs, teaching achievements, and methodological contributions highlight a sustained commitment to interdisciplinary scholarship and practical decision-support research.[1]

References

  1. Elsevier. (n.d.). Scopus Author Details: Jidan Huang, Author ID 57193425191. Scopus Author Profile. https://www.scopus.com/authid/detail.uri?authorId=57193425191
  2. Zheng, M., Chen, H., & Huang, J. (2026). Integrating Life Cycle Assessment and TOPSIS for Product-Level Sustainability Evaluation of Automotive Vehicles. Sustainability. DOI: https://doi.org/10.3390/su18115615
  3. Huang, J., Chen, Y., & Pan, W. (2026). Evaluation and Development Path Optimization of Rural Low-Altitude Tourism Using a Triangular Fuzzy TOPSIS Approach. Sustainability. DOI: https://doi.org/10.3390/su18115534
  4. Li, R., Huang, J., Dai, T., & Yang, Q. (2026). A Model Based on Delphi and Three-Interval TOPSIS: Sustainable Evaluation of Green Logistics Under the Goals of Carbon Peaking and Carbon Neutrality. Sustainability. DOI: https://doi.org/10.3390/su18041920
  5. Yang, Q., Huang, J., & Pan, W. (2026). Assessing the Sustainable Development of the Tourism Industry Based on Fuzzy AHP and Grey Relational TOPSIS. Sustainability. DOI: https://doi.org/10.3390/su17219799
  6. Huang, J., Cheng, G., Zhang, J., & Miao, W. (2022). Recognition Method for Stone Carved Calligraphy Characters Based on a Convolutional Neural Network. Neural Computing and Applications. https://link.springer.com/article/10.1007/s00521-022-08049-9

Serdar kırışoğlu | Artificial Intelligence | Best Researcher Award

Published on by Awards and Recognitions

Assoc. Prof. Dr. Serdar kırışoğlu | Artificial Intelligence | Best Researcher Award

Assoc. Prof. Dr. Serdar kırışoğlu | Artificial Intelligence – Academic Staff at Duzce University, Turkey

Assoc. Prof. Dr. Serdar KIRIŞOĞLU is a prominent scholar and researcher whose work bridges artificial intelligence, machine learning, blockchain systems, and data-driven analytics. As a faculty member at Düzce University’s Department of Computer Engineering, he has contributed significantly to advancing technology in economic forecasting, smart systems, and secure networks. Over the course of his academic career, he has guided multiple research initiatives, mentored graduate and doctoral students, and published impactful research recognized by leading journals and conferences worldwide.

Academic Profile:

ORCID

Education:

Dr. KIRIŞOĞLU earned his Ph.D. in Electrical-Electronics and Computer Engineering in 2018 from Düzce University, where his dissertation introduced a novel dynamic VLAN approach to optimize the systematic design of corporate networks. He previously obtained a Master’s degree in Electrical Education in 2009 from Abant İzzet Baysal University, focusing on FPGA-based hardware solutions for secure digital image data embedding and extraction, and a Bachelor’s degree in Electrical-Electronics Engineering in 2000 from Kahramanmaraş Sütçü İmam University, laying the groundwork for his expertise in computer engineering and digital systems.

Experience:

With a career rooted in academia and research, Dr. KIRIŞOĞLU has been an integral part of Düzce University since 2018, serving as an Associate Professor and leading various roles, including Head of the IT Department, where he drives digital transformation and technological innovation. His experience spans leadership in high-impact national and international projects, including initiatives on big data infrastructure, augmented reality applications, AI-based economic crisis detection, and advanced cybersecurity measures. He has also served as a dedicated supervisor for numerous master’s and doctoral theses, fostering future researchers in cutting-edge fields like financial analytics, machine learning, and natural language processing.

Research Interest:

Dr. KIRIŞOĞLU’s research interests encompass artificial intelligence, machine learning, blockchain-based systems, big data analytics, and network optimization. His current projects involve developing predictive models for stock markets using AI, applying NLP to detect economic crises, enhancing cybersecurity through intelligent threat detection, and integrating augmented reality with web-based systems. His interdisciplinary approach consistently merges theoretical innovation with practical applications, benefiting sectors such as finance, education, and healthcare.

Award:

His dedication to advancing computer engineering has positioned him as a strong nominee for the Best Researcher Award 2025, with recognition stemming from his leadership in research-driven projects, his impactful publications indexed in Scopus and IEEE, and his ongoing contributions to mentoring future scholars and innovators in AI and technology.

Publications:

Detection of Economic Crises With Language Models and Comparative Analysis of Simple Time Series Analysis Models and Machine Learning Algorithms on the Stock Market – IEEE Access, 2025.
Determination of Gold Purity Degrees Using Audio Features with Machine Learning Algorithms – Applied Acoustics, July 2025.
Cyclical Hybrid Imputation Technique for Missing Values in Data Sets – Scientific Reports, February 2025.
Sustainable Economic Development Through Crisis Detection Using AI Techniques – Sustainability, February 2025.
GSelf-MapReduce: A Method for Enhancing MapReduce Performance in Distributed Heterogeneous Data Centers – IEEE Access, 2024.
Pandemi Sürecinde Uzaktan Eğitimde Senkron, Asenkron ve Hibrit Yapılmış Derslerde Veri Madenciliği ile Öğrenci Performans Analizi – Düzce Üniversitesi Bilim ve Teknoloji Dergisi, January 2024.
Çok Katmanlı Algılayıcı ile Ağ Trafiği Sınıflandırma Analizi – Düzce Üniversitesi Bilim ve Teknoloji Dergisi, April 2022.

Conclusion:

Assoc. Prof. Dr. Serdar KIRIŞOĞLU’s career exemplifies academic excellence, impactful research, and forward-thinking innovation, making him an ideal candidate for the Best Researcher Award 2025. His pioneering work in artificial intelligence, big data, and blockchain, combined with his dedication to mentoring and leading research initiatives, underscores his substantial contributions to both science and society. With a growing body of influential publications and leadership in transformative projects, he continues to shape the future of computer engineering and remains committed to expanding his global academic impact through further collaborations and innovations.