# Meera Shah

> academic in computer science

**Wikidata**: [Q131361917](https://www.wikidata.org/wiki/Q131361917)  
**Source**: https://4ort.xyz/entity/meera-shah

## Summary
Meera Shah is an Indian academic in computer science who specializes in artificial intelligence and machine learning. She is a researcher and faculty member at Atmiya University and completed graduate and doctoral-level study at the same institution, with doctoral supervision by Hiren Kavathiya.

## Biography
- Born: 1998
- Nationality: India
- Education: Master of Computer Applications (Atmiya University, 2020–2022); Doctor of Philosophy in computer science (Atmiya University, 2021–2025; advisor: Hiren Kavathiya)
- Known for: Academic research and teaching in artificial intelligence and machine learning
- Employer(s): Atmiya University (appointment started 2021-08-14)
- Field(s): Artificial intelligence; Machine learning

## Contributions
Meera Shah has pursued graduate and doctoral research in computer science with a focus on artificial intelligence and machine learning. Her formal training includes an MCA (2020–2022) and a PhD program (2021–2025) at Atmiya University under doctoral advisor Hiren Kavathiya. She is employed at Atmiya University from 14 August 2021, where she is engaged in academic duties and research. Shah’s scholarly output is discoverable through multiple academic and indexing platforms: she is listed on IEEE Xplore (author ID 761181827710274), Google Scholar (author ID JhGio6QAAAAJ), ResearchGate (profile Meera-Shah-17), and Scilit (Scholarly ID 26193560). Her Vidwan profile is recorded under ID 284493. These identifiers indicate published works and contributions to the literature in AI and machine learning, though specific paper titles and dates are recorded on those platforms rather than in the present source material. Her doctoral work (2021–2025) represents a sustained research contribution to the fields of artificial intelligence and machine learning within the Indian academic context.

## FAQs
### Q: Who is Meera Shah?
A: Meera Shah is an Indian computer science academic specializing in artificial intelligence and machine learning, employed by Atmiya University since August 14, 2021.

### Q: What are her academic qualifications?
A: She holds a Master of Computer Applications from Atmiya University (2020–2022) and pursued a Doctor of Philosophy in computer science at Atmiya University (2021–2025) under advisor Hiren Kavathiya.

### Q: Where can I find her publications?
A: Her publications and author records are indexed on platforms including IEEE Xplore (author ID 761181827710274), Google Scholar (author ID JhGio6QAAAAJ), ResearchGate (Meera-Shah-17), and Scilit (ID 26193560).

## Why They Matter
Meera Shah’s significance rests on her role as an emerging academic researcher and educator in artificial intelligence and machine learning within the Indian higher-education system. By completing graduate and doctoral study while holding an academic appointment at Atmiya University, she contributes to the production and dissemination of research in AI/ML through peer-reviewed channels and institutional teaching. Her presence on major indexing platforms (IEEE Xplore, Google Scholar, Scilit, ResearchGate) makes her work discoverable to the broader research community, enabling citation, collaboration, and uptake by other scholars. As a doctoral student supervised by Hiren Kavathiya, her research advances both the institution’s PhD output and the national scholarly record in computer science. Without contributors like Shah, local research capacity, mentorship for students, and the flow of India-based AI/ML scholarship to global indexes would be diminished.

## Notable For
- Serving as an academic at Atmiya University with appointment recorded from 14 August 2021.
- Completing a Master of Computer Applications at Atmiya University (2020–2022).
- Pursuing and recording a Doctor of Philosophy in computer science at Atmiya University (2021–2025) under advisor Hiren Kavathiya.
- Author and researcher profiles indexed on major platforms: IEEE Xplore (author ID 761181827710274), Google Scholar (JhGio6QAAAAJ), ResearchGate (Meera-Shah-17), and Scilit (26193560).
- Vidwan researcher profile ID 284493 and presence in academic genealogy (academic_tree_id 958612).

## Body
### Personal and identity details
- Given name: Meera
- Family name: Shah
- Aliases: Meera M. Shah; Meera Manish Shah; Meera Manishbhai Shah; M. M. Shah; MM Shah; Meerabahen Shah; Meerabahen Manishbhai Shah
- Sex/Gender: Female
- Languages: Gujarati

### Birth and nationality
- Birth year: 1998
- Citizenship: India

### Education (detailed)
- Master of Computer Applications (MCA)
  - Institution: Atmiya University
  - Period: 2020–2022
- Doctor of Philosophy (PhD) in Computer Science
  - Institution: Atmiya University
  - Period: 2021–2025
  - Doctoral advisor: Hiren Kavathiya

### Employment
- Atmiya University
  - Role: Academic / faculty (exact title not specified in the source)
  - Start date: 2021-08-14
  - Appointment documented by institutional appointment records referenced in the primary data

### Research focus and outputs
- Primary fields: Artificial intelligence; Machine learning
- Research identifiers and profiles:
  - IEEE Xplore author ID: 761181827710274
  - Google Scholar author ID: JhGio6QAAAAJ
  - ResearchGate profile ID: Meera-Shah-17
  - Scilit scholar ID: 26193560
  - Vidwan ID: 284493
  - Academic Tree ID: 958612
  - Google Knowledge Graph ID: /g/11wwhhczmp
  - LinkedIn profile ID: dr-meera-shah1013
- These records indicate peer-reviewed and indexed contributions in AI/ML; specific publication titles and dates are available on the respective platforms.

### Professional network and supervision
- Doctoral advisor: Hiren Kavathiya
- Academic lineage and profiles suggest engagement with the Indian academic research network through Atmiya University.

### Miscellaneous identifiers
- Wikidata description: academic in computer science
- IEEE Xplore, Scilit, Vidwan, and other platform identifiers support discoverability and verification of scholarly outputs.

## References

1. [Source](https://naac.atmiyauni.ac.in/upload/assessment/DVV_U0967_EP2.1_Appointment-order_2023_24_compressed_ecS1736522082.pdf)
2. Vidwan