User:Cemilstay192021/sandbox

Submission declined on 1 December 2024 by Qcne (talk).

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Declined by Qcne 24 hours ago. Last edited by Qcne 24 hours ago. Reviewer: Inform author.

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Comment: See WP:NOTRESUME qcne (talk) 19:22, 1 December 2024 (UTC)

Cemil Emre Yavas

Cemil Emre Yavas is an industrial engineer, researcher, and award-winning software developer with over 25 years of experience in software development. He specializes in artificial intelligence (AI), machine learning (ML), and predictive modeling. His research focuses on earthquake forecasting, cybersecurity, and AI-driven data science, and he has authored impactful research papers published in high-impact, peer-reviewed journals.

Early Life and Education

Cemil Emre Yavas completed his Bachelor of Science in Industrial Engineering at Bosphorus University in 1998, graduating with high honors and ranking first in his class. He previously graduated from St. Georg’s Austrian College as the top student. In the 1994 University Entrance Exam, he ranked 9th among 1.5 million students in Turkey. Currently, he manages nonprofit IT trusts as his primary role while contributing to research at Georgia Southern University.

Career

Turkline (1997–2023)

Yavas served as the Lead Software Engineer and Senior Developer at Turkline, where he directed award-winning digital projects and trained over 50 developers. He spearheaded the development of scalable, high-performance AI and ML applications, including predictive algorithms for cybersecurity and earthquake forecasting. His work also extended to creating secure and user-friendly online banking solutions for institutions such as Akbank, Citibank, and HSBC.

Research Contributions

Yavas has made significant contributions to AI and machine learning, particularly in predictive modeling. His research in earthquake forecasting has been widely recognized, with his work featured on platforms like PreventionWeb and MSN News. Notable achievements include:

Improving earthquake prediction accuracy in Los Angeles to 97.97% using machine learning models.
Applying AI/ML techniques to Istanbul's earthquake prediction, achieving 91.65% accuracy.

Published Works

Journals

Yavas, C.E., Chen, L., Kadlec, C. et al. "Improving earthquake prediction accuracy in Los Angeles with machine learning." Scientific Reports 14, 24440 (2024). DOI: 10.1038/s41598-024-76483-x.
Yavas, C.E., Chen, L., Kadlec, C., Ji, Y. "Predictive Modeling of Earthquakes in Los Angeles With Machine Learning and Neural Networks." IEEE Access 12, pp. 108673–108702, 2024. DOI: 10.1109/ACCESS.2024.3438556.
Yavas, C.E., Kim, J., Chen, L. "Mastering Precision in Pivotal Variables Defining Wine Quality via Incremental Analysis of Baseline Accuracy." IEEE Access 12, pp. 105429–105459, 2024. DOI: 10.1109/ACCESS.2024.3436603.

Conference Presentations

"Exploring Flavors Through AI: The Future of Culinary Taste Prediction," presented at the 22nd IEEE/ACIS International Conference on Software Engineering Research, Management, and Applications (SERA 2024).
"Unlocking the Power of Machine Learning in Cybersecurity Forensics: Identifying Malicious Files," presented at the 2024 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE 2024).

Skills

Languages: English, German, Turkish, Spanish.
Programming: Python, PHP, JavaScript, C++.
AI/ML Tools: TensorFlow, Keras, Scikit-learn.
Data Analysis: SQL, MySQL, MariaDB, PostgreSQL.
Operating Systems: Linux, Debian, Ubuntu Server.

Awards and Recognition

Over 50 international awards, including W3 Awards, Golden Spider Awards, and Interactive Media Awards.
Recognized for contributions to digital media, e-commerce, and secure financial systems.

Media Impact

Yavas's work in earthquake prediction has been featured in numerous global media outlets:

PreventionWeb: Improving earthquake prediction accuracy in Los Angeles.
MSN News: Machine learning boosts earthquake prediction accuracy.
Turkish outlets: Hürriyet, NTV Haber, Milliyet, and others have recognized his innovative contributions.

External Links