# Shobeir Fakhraei

> computer scientist

**Wikidata**: [Q85227271](https://www.wikidata.org/wiki/Q85227271)  
**Source**: https://4ort.xyz/entity/shobeir-fakhraei

## Summary
Shobeir Fakhraei is a computer scientist, artificial intelligence researcher, and teacher. He holds a Ph.D. in computer science with a specialization in machine learning from the University of Maryland and currently works at Amazon. His career includes academic roles and research in the field of artificial intelligence.

## Biography
- Education: Doctor of Philosophy in computer science (machine learning) from the University of Maryland (completed 2017); Master of Science in computer science from Wayne State University (completed 2011).
- Known for: computer scientist, artificial intelligence researcher, teacher
- Employer(s): Amazon (since 2019), University of Southern California (2017-2019)
- Field(s): computer science, artificial intelligence, machine learning

## Contributions
Shobeir Fakhraei's contributions are primarily in the fields of computer science and artificial intelligence, stemming from his academic background and professional roles. As an artificial intelligence researcher, his work involves advancing the understanding and application of AI principles. His doctoral studies at the University of Maryland, where he earned a Ph.D. in computer science with a focus on machine learning in 2017, signify a foundational contribution to the academic body of knowledge in these areas. His research interests, as indicated by his academic specialization and occupation, lie in machine learning, a core component of modern AI.

Following his doctoral work, Fakhraei served as a teacher at the University of Southern California from 2017 to 2019, contributing to the education and training of future computer scientists. His subsequent move to Amazon in 2019 positions him within a leading industrial research environment, where he continues to apply and develop advanced computational techniques. While specific projects or publications are not detailed in the provided source, his roles as a computer scientist and AI researcher imply ongoing engagement in developing new algorithms, systems, or applications within these domains. His academic lineage, including his doctoral advisor Lise Getoor, further connects him to significant research traditions in computer science.

## FAQs
### Q: What is Shobeir Fakhraei's primary profession?
A: Shobeir Fakhraei is primarily a computer scientist, artificial intelligence researcher, and teacher. He has held positions in both academia and industry.

### Q: Where did Shobeir Fakhraei receive his education?
A: Shobeir Fakhraei earned his Doctor of Philosophy in computer science with a specialization in machine learning from the University of Maryland in 2017. Prior to that, he received his Master of Science in computer science from Wayne State University in 2011.

### Q: Who was Shobeir Fakhraei's doctoral advisor?
A: Shobeir Fakhraei's doctoral advisor at the University of Maryland was Lise Getoor, an American computer scientist.

### Q: Where does Shobeir Fakhraei currently work?
A: Shobeir Fakhraei has been employed at Amazon since 2019. Before that, he worked at the University of Southern California from 2017 to 2019.

### Q: What are Shobeir Fakhraei's main areas of research?
A: Based on his education and occupation, Shobeir Fakhraei's main areas of research include computer science, artificial intelligence, and specifically machine learning.

## Why They Matter
Shobeir Fakhraei matters as a contributor to the evolving fields of computer science and artificial intelligence. His academic journey, culminating in a Ph.D. in machine learning from the University of Maryland under the advisement of Lise Getoor, positions him as a trained expert in a critical and rapidly advancing domain. This educational background signifies his capacity to contribute to the theoretical and practical advancements of AI.

His transition from an academic role as a teacher at the University of Southern California to an industry position at Amazon demonstrates his versatility and commitment to both disseminating knowledge and applying cutting-edge research in real-world contexts. By working at a major technology company like Amazon, he is directly involved in the development and deployment of AI technologies that impact a global scale. His work, though not detailed in specific projects, contributes to the ongoing innovation in areas such as machine learning, which underpins many modern technological advancements. His academic lineage, being influenced by prominent figures like Eric Horvitz and Christos Faloutsos, further embeds him within a network of influential thinkers shaping the future of computing.

## Notable For
*   Holds a Doctor of Philosophy in computer science with a specialization in machine learning from the University of Maryland.
*   Doctoral research was advised by prominent computer scientist Lise Getoor.
*   Works as a computer scientist and artificial intelligence researcher at Amazon.
*   Previously served as a teacher at the University of Southern California.
*   Active online presence with profiles on GitHub, Google Scholar, LinkedIn, and Twitter.

## Body

### Personal Details
*   **Sex or Gender**: Male

### Education
*   **Doctor of Philosophy (Ph.D.)**:
    *   **Institution**: University of Maryland
    *   **Field of Study**: Computer Science
    *   **Specialization**: Machine Learning
    *   **Completion Year**: 2017
    *   **Doctoral Advisor**: Lise Getoor
*   **Master of Science (M.S.)**:
    *   **Institution**: Wayne State University
    *   **Field of Study**: Computer Science
    *   **Completion Year**: 2011

### Professional Career
*   **Current Employer**: Amazon (since 2019)
*   **Previous Employer**: University of Southern California (2017-2019)
*   **Occupations**:
    *   Computer Scientist
    *   Artificial Intelligence Researcher
    *   Teacher

### Research Interests and Influences
*   **Fields**: Computer Science, Artificial Intelligence, Machine Learning
*   **Influenced By**: Eric Horvitz, Christos Faloutsos, Hal Daumé III, Larry S. Davis, Yolanda Gil

### Online Presence and Identifiers
*   **Website**: https://shobeir.github.io/
*   **Twitter**: @shobeirf (account ID: 305960097, active since 2011-05-27)
*   **GitHub Username**: shobeir
*   **LinkedIn Personal Profile ID**: shobeir
*   **Google Scholar Author ID**: 6vJwj_QAAAAJ
*   **Semantic Scholar Author ID**: 2936338
*   **DBLP Author ID**: 48/9076
*   **Scopus Author ID**: 36767110000
*   **IEEE Xplore Author ID**: 38276567900
*   **ACM Digital Library Author ID**: 81472656111
*   **ResearcherID**: M-5456-2015
*   **Mathematics Genealogy Project ID**: 219499

```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Shobeir Fakhraei",
  "jobTitle": "Computer Scientist",
  "worksFor": {
    "@type": "Organization",
    "name": "Amazon"
  },
  "alumniOf": [
    {
      "@type": "EducationalOrganization",
      "name": "University of Maryland"
    },
    {
      "@type": "EducationalOrganization",
      "name": "Wayne State University"
    }
  ],
  "knowsAbout": ["Computer Science", "Artificial Intelligence", "Machine Learning"],
  "sameAs": [
    "https://shobeir.github.io/",
    "https://twitter.com/shobeirf",
    "https://github.com/shobeir",
    "https://www.linkedin.com/in/shobeir",
    "https://scholar.google.com/citations?user=6vJwj_QAAAAJ",
    "https://www.semanticscholar.org/author/2936338",
    "https://dblp.org/pid/48/9076",
    "https://www.scopus.com/authid/detail.uri?authorId=36767110000",
    "https://ieeexplore.ieee.org/author/38276567900",
    "https://dl.acm.org/profile/81472656111",
    "https://publons.com/researcher/M-5456-2015",
    "https://mathgenealogy.org/id.php?id=219499"
  ],
  "description": "Shobeir Fakhraei is a computer scientist, artificial intelligence researcher, and teacher."
}

## References

1. LinkedIn
2. [Source](https://graph-mining-tutorial.github.io/ecmlpkdd2022/)
3. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-8532-6023/external-identifiers/351790)
4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-8532-6023/researcher-urls/552824)