User:LeiMChen/sandbox
| Submission declined on 3 December 2024 by Dan arndt (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia. The content of this submission includes material that does not meet Wikipedia's minimum standard for inline citations. Please cite your sources using footnotes. For instructions on how to do this, please see Referencing for beginners. Thank you.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|  |
Cemil Emre Yavas
[edit]Cemil Emre Yavas is an industrial engineer and researcher specializing in artificial intelligence (AI), machine learning (ML), and predictive modeling. His contributions span earthquake forecasting, cybersecurity, and sensory analysis. Yavas's research has been published in peer-reviewed journals and highlighted in international media outlets.
Career
[edit]Turkline (1997–2023)
[edit]Yavas founded Turkline, a software development and digital innovation company. The company focused on developing secure online banking platforms and e-commerce solutions for major institutions, including Akbank, Citibank, and HSBC. Turkline received several awards for its work in user experience and digital platforms.
Researcher at Georgia Southern University
[edit]At Georgia Southern University, Yavas focuses on AI and ML applications in disaster forecasting, cybersecurity, and sensory analysis.
Research Contributions
[edit]Yavas's contributions include:
- Earthquake Prediction: Research that achieved 97.97% accuracy in predicting earthquakes in Los Angeles using machine learning models, published in Scientific Reports (DOI: 10.1038/s41598-024-76483-x). This study was highlighted by the United Nations' PreventionWeb for its implications in disaster risk reduction.
- Istanbul Earthquake Forecasting: Application of machine learning techniques, achieving a 91.65% accuracy rate in earthquake prediction (NTV coverage).
- Cybersecurity: Development of machine learning models for detecting malicious files in cybersecurity forensics.
- Sensory Analysis: Exploration of AI-driven methods to replicate human sensory perception in applications such as wine quality assessment and food analysis (DOI: 10.1109/SERA61261.2024.10685608).
Published Works
[edit]Journals
[edit]- Yavas, C.E., Chen, L., Kadlec, C. "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.
Conferences
[edit]- C. E. Yavas, J. Kim, L. Chen, "Exploring Flavors Through AI: The Future of Culinary Taste Prediction," 2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications, Honolulu, HI, USA, 2024. DOI: 10.1109/SERA61261.2024.10685608.
Media Recognition
[edit]Yavas’s work has been covered by international and Turkish media:
- PreventionWeb: Recognition for contributions to disaster risk reduction (link).
- MSN News: Coverage of machine learning advancements in earthquake prediction (link).
- Hürriyet: Coverage on AI-based earthquake forecasting (link).
- Milliyet: Reported on the 97.97% success rate in earthquake prediction for Los Angeles (link).
- Watchers News: Discussed the global significance of earthquake prediction research (link).
Awards and Recognition
[edit]- Altın Örümcek Awards: Recognized Turkline for advancements in online banking, e-commerce, and digital platform design (link).
- W3 Awards: Highlighted digital development achievements.
- Interactive Media Awards (IMA): Acknowledged work in secure platform and UX design.