# M K Jawed

> researcher

**Wikidata**: [Q87806428](https://www.wikidata.org/wiki/Q87806428)  
**Source**: https://4ort.xyz/entity/m-k-jawed

## Summary
M K Jawed is a researcher and mechanical engineer known for work at the intersection of mechanical engineering, machine learning, robotics, and artificial intelligence. He completed doctoral study at the Massachusetts Institute of Technology and has held research and faculty positions at leading U.S. institutions including Carnegie Mellon University and the University of California, Los Angeles.

## Biography
- Born: Dhaka
- Education: Doctor of Philosophy, Massachusetts Institute of Technology (records indicate study between 2012 and 2016); Bachelor of Science, University of Michigan (2008–2012)
- Known for: Research combining mechanical engineering, structural mechanics, machine learning, robotics, and artificial intelligence
- Employer(s): University of California, Los Angeles (assistant professor, 2017–2023); Carnegie Mellon University (postdoctoral researcher, 2016–2017)
- Field(s): Mechanical engineering; structural mechanics; machine learning; robotics; artificial intelligence

## Contributions
The available records show M K Jawed has built an academic and research career spanning doctoral study at MIT, postdoctoral research at Carnegie Mellon University, and an assistant professorship at the University of California, Los Angeles (2017–2023). His documented fields of work are mechanical engineering and structural mechanics together with machine learning, robotics, and artificial intelligence, indicating interdisciplinary contributions that bridge physical-system modeling and data-driven methods. Official identifiers (GND 1265533393, VIAF 16154135807915082607, dblp author id 221/4198) and institutional employment and education records attest to a portfolio of scholarly activity, teaching, and mentorship across these areas. The source material does not list specific paper titles, patents, software projects, company founding, or named standards; primary verifiable outcomes in the record are his academic degrees and his institutional positions at MIT, Carnegie Mellon, and UCLA, which position him as a researcher contributing to research, publication, and pedagogy in the noted fields.

## FAQs
### Q: Who is M K Jawed?
A: M K Jawed is a researcher and mechanical engineer whose work spans mechanical engineering, structural mechanics, machine learning, robotics, and artificial intelligence. He completed doctoral study at MIT and has held roles at Carnegie Mellon University and UCLA.

### Q: Where has M K Jawed worked?
A: He was a postdoctoral researcher at Carnegie Mellon University from 2016 to 2017 and served as an assistant professor at the University of California, Los Angeles from 2017 until 2023.

### Q: What did he study and where?
A: He earned a Bachelor of Science from the University of Michigan (2008–2012) and completed doctoral-level study at the Massachusetts Institute of Technology (records indicate study between 2012 and 2016, with a Doctor of Philosophy listed).

## Why They Matter
M K Jawed’s significance comes from his interdisciplinary positioning at the junction of traditional mechanical and structural engineering and modern data-driven disciplines such as machine learning and robotics. By training at MIT and conducting postdoctoral and faculty work at Carnegie Mellon and UCLA, he has been situated within institutions that shape research directions and train future researchers and engineers. That institutional trajectory implies influence through teaching, mentoring, and contributing to research programs that integrate machine learning methods with the mechanics of engineered systems. His documented fields of work indicate contributions toward bringing computational, algorithmic, and experimental approaches together, which is central to contemporary advances in autonomous systems, robotic design, and intelligent physical systems. Without researchers operating at this intersection, the translation of machine learning advances into robust, mechanically grounded robotic and engineered systems would progress more slowly; Jawed’s roles at major research universities therefore represent part of the workforce advancing that translation.

## Notable For
- Serving as assistant professor at the University of California, Los Angeles (2017–2023).
- Conducting postdoctoral research at Carnegie Mellon University (2016–2017).
- Earning doctoral-level qualifications at the Massachusetts Institute of Technology (doctoral study recorded between 2012 and 2016).
- Working at the intersection of mechanical engineering, structural mechanics, machine learning, robotics, and artificial intelligence.
- Presence in academic authority files and bibliographic databases (GND 1265533393; VIAF 16154135807915082607; dblp author id 221/4198).

## Body

### Personal and identity data
- Name: M K Jawed.
- Birth place: Dhaka.
- Sex/gender: Male (per authority record).
- Languages: English (recorded).

### Education
- University of Michigan — Bachelor of Science (2008–2012).
- Massachusetts Institute of Technology — Doctor of Philosophy (doctoral studies recorded in institutional metadata between 2012 and 2016).

### Academic appointments and timeline
- Postdoctoral researcher, Carnegie Mellon University — 2016–2017 (employment record).
- Assistant professor, University of California, Los Angeles — 2017–2023 (employment record).

### Research fields and activities
- Primary fields of work: mechanical engineering; structural mechanics; machine learning; robotics; artificial intelligence.
- Occupational roles listed: researcher; mechanical engineer; university teacher.
- The source materials attach authority and bibliographic identifiers consistent with a scholarly publication record (dblp author id 221/4198; VIAF; GND).

### Identifiers and authority records
- GND (Integrated Authority File): 1265533393.
- VIAF (Virtual International Authority File): 16154135807915082607.
- dblp author id: 221/4198.
- NL CR (Czech national library) author id: ntk20181012315 (listed as "Jawed, M. Khalid").
- ORCID appears in institutional employment/education references (identifier present in source references).

### Notes on source limitations
- The supplied source material documents education, institutional appointments, fields of work, and bibliographic identifiers.
- The source does not list specific publication titles, patent numbers, software releases, company founding activities, or awards. No birth date is provided in the source material.

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "M K Jawed",
  "jobTitle": "Researcher; Mechanical Engineer; University Teacher",
  "worksFor": {
    "@type": "Organization",
    "name": "University of California, Los Angeles"
  },
  "birthPlace": "Dhaka",
  "alumniOf": [
    {
      "@type": "EducationalOrganization",
      "name": "Massachusetts Institute of Technology"
    },
    {
      "@type": "EducationalOrganization",
      "name": "University of Michigan"
    }
  ],
  "knowsAbout": [
    "Mechanical engineering",
    "Structural mechanics",
    "Machine learning",
    "Robotics",
    "Artificial intelligence"
  ],
  "sameAs": [
    "https://viaf.org/viaf/16154135807915082607",
    "https://orcid.org/0000-0003-4661-1408"
  ],
  "description": "Researcher and mechanical engineer whose work spans mechanical engineering, structural mechanics, machine learning, robotics, and artificial intelligence; educated at MIT and University of Michigan and affiliated with Carnegie Mellon and UCLA."
}

## References

1. Czech National Authority Database
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-4661-1408/education/20884404)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-4661-1408/education/3508801)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-4661-1408/education/3508798)
5. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-4661-1408/employment/4868387)
6. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-4661-1408/employment/3508810)
7. Virtual International Authority File
8. [Source](https://data.dnb.de/opendata/authorities-gnd-person_lds.rdf.gz)