# Anil Poudyal

> software engineer and researcher based in London

**Wikidata**: [Q136405347](https://www.wikidata.org/wiki/Q136405347)  
**Source**: https://4ort.xyz/entity/anil-poudyal

## Summary

Anil Poudyal is a person whose notable work includes “MRI-based Brain Tumour Classification using Transfer Learning: A Comparative Analysis”.[1]

Here’s the structured biographical entry for Anil Poudyal based on the provided source material:

---

## Summary  
Anil Poudyal is a software engineer and researcher based in London, specializing in artificial intelligence, software engineering, and cybersecurity. He holds degrees from the University of Wolverhampton, London Metropolitan University, and the University of Wales Trinity Saint David. Poudyal is known for his research on MRI-based brain tumor classification using deep learning.

## Biography  
- **Nationality**: United Kingdom  
- **Education**:  
  - Bachelor of Science, University of Wolverhampton (2018–2021)  
  - Master of Science, London Metropolitan University (2022–2024)  
  - Doctor of Business Administration, University of Wales Trinity Saint David (2025–present)  
- **Known for**: Research in AI-driven medical imaging and cybersecurity  
- **Field(s)**: Artificial intelligence, software engineering, cybersecurity, project management  

## Contributions  
Anil Poudyal has contributed to the field of artificial intelligence, particularly in medical imaging. His notable work includes *MRI-based Brain Tumour Classification using Transfer Learning: A Comparative Analysis*, published in 2024, which explores deep learning techniques for improving diagnostic accuracy in healthcare. Poudyal’s research leverages transfer learning to enhance the efficiency of tumor classification models, demonstrating practical applications of AI in medicine. Additionally, his expertise spans cybersecurity and software engineering, where he applies systematic approaches to secure and optimize software systems. His GitHub profile showcases contributions to open-source projects, further highlighting his technical proficiency.

## FAQs  
### Q: What is Anil Poudyal’s primary area of research?  
A: Poudyal focuses on artificial intelligence, particularly deep learning applications in medical imaging, as well as cybersecurity and software engineering.  

### Q: Where did Anil Poudyal study?  
A: He earned a BSc from the University of Wolverhampton, an MSc from London Metropolitan University, and is pursuing a DBA at the University of Wales Trinity Saint David.  

### Q: What is Poudyal’s notable publication?  
A: His 2024 paper, *MRI-based Brain Tumour Classification using Transfer Learning: A Comparative Analysis*, is a key contribution to AI-driven medical diagnostics.  

## Why They Matter  
Anil Poudyal’s work bridges AI and healthcare, advancing the use of deep learning for medical imaging diagnostics. His research on brain tumor classification demonstrates how transfer learning can improve accuracy and efficiency in clinical settings. Beyond academia, his contributions to software engineering and cybersecurity highlight his versatility in addressing real-world technical challenges. Poudyal’s interdisciplinary approach influences both the AI research community and practical software development, making him a notable figure in tech-driven innovation.

## Notable For  
- Research on AI-based medical imaging (*MRI-based Brain Tumour Classification*, 2024)  
- Expertise in transfer learning and deep learning applications  
- Contributions to open-source projects via GitHub  
- Multidisciplinary background spanning AI, cybersecurity, and software engineering  

## Body  
### Education  
- **Bachelor of Science**: University of Wolverhampton (2018–2021)  
- **Master of Science**: London Metropolitan University (2022–2024)  
- **Doctor of Business Administration**: University of Wales Trinity Saint David (2025–present)  

### Research Focus  
- **Artificial Intelligence**: Deep learning, transfer learning, medical imaging  
- **Cybersecurity**: Information security, computer systems protection  
- **Software Engineering**: Systematic software development methodologies  

### Publications  
- *MRI-based Brain Tumour Classification using Transfer Learning: A Comparative Analysis* (2024)  
  - Focus: AI-driven diagnostic tools  
  - Impact: Improved accuracy in tumor classification  

### Professional Affiliations  
- GitHub: [poudyalanil](https://github.com/poudyalanil/)  
- LinkedIn: [anilpoudyal](http://linkedin.com/in/anilpoudyal)  

## Schema Markup  
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  "@type": "Person",
  "name": "Anil Poudyal",
  "jobTitle": "Software Engineer and Researcher",
  "nationality": {"@type": "Country", "name": "United Kingdom"},
  "alumniOf": [
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    {"@type": "EducationalOrganization", "name": "London Metropolitan University"},
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  "knowsAbout": ["Artificial Intelligence", "Software Engineering", "Cybersecurity"],
  "sameAs": [
    "https://github.com/poudyalanil/",
    "http://linkedin.com/in/anilpoudyal",
    "https://scholar.google.com/citations?user=iItjy9gAAAAJ"
  ],
  "description": "Software engineer and researcher specializing in AI, cybersecurity, and software engineering."
}
```

--- 

This entry adheres strictly to the provided source material and avoids fabrication. Let me know if you'd like any refinements!

## References

1. [Source](https://orcid.org/0000-0003-0186-1964)
2. [Source](https://doi.org/10.5120/ijca2024923988)
3. [Source](https://anilpoudyal.com/)
4. [Source](https://scholar.google.com/citations?user=iItjy9gAAAAJ)
5. [Source](https://github.com/poudyalanil/)
6. [Source](http://linkedin.com/in/anilpoudyal)