# Jyotir Moy Chatterjee

> researcher

**Wikidata**: [Q98661738](https://www.wikidata.org/wiki/Q98661738)  
**Source**: https://4ort.xyz/entity/jyotir-moy-chatterjee

## Summary
Jyotir Moy Chatterjee is a computer scientist, engineer, and university teacher working as a researcher in informatics, machine learning, deep learning, and big data. He has served as an assistant professor at GD Rungta College of Engineering & Technology (2016–2018) and at Lord Buddha Education Foundation (2018–2023) and maintains publication records across major research databases.

## Biography
- Education: Master of Technology, Kalinga Institute of Industrial Technology (2014–2016)
- Known for: Research and teaching in informatics, information technology, machine learning, deep learning, and big data
- Employer(s): GD Rungta College of Engineering & Technology (assistant professor, 2016-12-07 to 2018-06-07); Lord Buddha Education Foundation (assistant professor, 2018-07-05 to 2023-07-31)
- Field(s): Informatics; Information technology; Machine learning; Deep learning; Big data; Computer science
- Occupation(s): Engineer; Computer scientist; University teacher
- Languages: English

## Contributions
Jyotir Moy Chatterjee has an academic and teaching profile centered on informatics and computational methods such as machine learning and deep learning. He earned an M.Tech from Kalinga Institute of Industrial Technology (2014–2016) and subsequently held assistant professorships at GD Rungta College of Engineering & Technology (2016–2018) and Lord Buddha Education Foundation (2018–2023), where he taught and supervised courses in information technology and related areas. His scholarly output is indexed across multiple major research databases and identifier systems, including Scopus (author ID 57196119176), DBLP (220/0819), IEEE Xplore (author ID 37088802654), Google Scholar (P205l90AAAAJ), ResearcherID (H-1131-2017), Dimensions (011120141722.11), and VIAF (7152023615603310246). He is also registered with international authority files such as ISNI (0000000499078093) and GND (1176054384). These identifiers indicate a body of published research in computer science and related domains, making his work discoverable and citable across bibliographic platforms.

## FAQs
### Q: Who is Jyotir Moy Chatterjee?
A: He is a computer scientist, engineer, and university teacher focused on informatics, machine learning, deep learning, and big data. He has held assistant professor posts at GD Rungta College of Engineering & Technology and Lord Buddha Education Foundation.

### Q: What is his educational background?
A: He holds a Master of Technology (M.Tech) from Kalinga Institute of Industrial Technology, completed between 2014 and 2016.

### Q: Where can I find his publications?
A: His publications are indexed under multiple research identifiers and databases, including Scopus (ID 57196119176), DBLP (220/0819), IEEE Xplore (37088802654), Google Scholar (P205l90AAAAJ), and ResearcherID (H-1131-2017).

## Why They Matter
Jyotir Moy Chatterjee's significance lies in his combined role as an educator and a researcher in core computational fields. By holding faculty positions at engineering institutions, he has contributed to training and mentoring students in informatics, information technology, and machine learning—areas central to modern computing curricula. His presence in major bibliographic and indexing systems (Scopus, IEEE Xplore, DBLP, Google Scholar, ResearcherID, Dimensions, VIAF, ISNI, GND) ensures that his research outputs are accessible and integrated into the scholarly record. That discoverability supports citation, collaboration, and reuse by other researchers and educators. Even without a public list of specific paper titles in the provided material, the array of authoritative identifiers demonstrates a sustained research profile that supports academic communication and knowledge dissemination in machine learning, deep learning, and big data. Without contributors like Chatterjee, institutional teaching capacity and the documented scholarly record in these technical domains would be reduced.

## Notable For
- Serving as assistant professor at GD Rungta College of Engineering & Technology (2016-12-07 to 2018-06-07).
- Serving as assistant professor at Lord Buddha Education Foundation (2018-07-05 to 2023-07-31).
- Holding an M.Tech from Kalinga Institute of Industrial Technology (2014–2016).
- Having research outputs indexed across major platforms: Scopus (57196119176), DBLP (220/0819), IEEE Xplore (37088802654), Google Scholar (P205l90AAAAJ), ResearcherID (H-1131-2017).
- Registered in international authority files and bibliographic systems such as ISNI (0000000499078093), VIAF (7152023615603310246), and GND (1176054384).

## Body

### Education
- Master of Technology, Kalinga Institute of Industrial Technology.
  - Start: 2014-06-07
  - End: 2016-05-10

### Academic positions
- Assistant Professor, GD Rungta College of Engineering & Technology.
  - Start: 2016-12-07
  - End: 2018-06-07
- Assistant Professor, Lord Buddha Education Foundation.
  - Start: 2018-07-05
  - End: 2023-07-31

### Research areas and fields
- Informatics
- Information technology
- Machine learning
- Deep learning
- Big data
- Computer science

### Scholarly identifiers and indexing
- Scopus author ID: 57196119176
- DBLP author ID: 220/0819
- IEEE Xplore author ID: 37088802654
- Google Scholar author ID: P205l90AAAAJ
- ResearcherID: H-1131-2017
- Dimensions author ID: 011120141722.11
- VIAF ID: 7152023615603310246
- ISNI: 0000000499078093
- GND (DNB person): 1176054384
- NL CR AUT ID: ntk20221170906

### Professional roles and occupations
- Occupation: Engineer; Computer scientist; University teacher.
- Roles: Academic teaching and research in engineering and computer science departments.

### Languages
- English

### Authority and registry notes
- Listed in multiple national and international authority files and research databases, supporting discovery and citation of his work.

## Schema Markup
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  "@type": "Person",
  "name": "Jyotir Moy Chatterjee",
  "jobTitle": "Computer scientist; University teacher; Engineer",
  "worksFor": [
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  "alumniOf": [
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  "knowsAbout": [
    "Informatics",
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  "description": "Jyotir Moy Chatterjee is a computer scientist, engineer, and university teacher whose research and teaching focus on informatics, machine learning, deep learning, and big data."
}

## References

1. Czech National Authority Database
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-2527-916X/education/1594371)
3. [ORCID Public Data File 2024](https://pub.orcid.org/v3.0/0000-0003-2527-916X/employment/6079855)
4. [ORCID Public Data File 2024](https://pub.orcid.org/v3.0/0000-0003-2527-916X/employment/3418625)
5. Virtual International Authority File
6. [Source](https://data.dnb.de/opendata/authorities-gnd-person_lds.rdf.gz)
7. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-2527-916X/external-identifiers/698802)
8. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-2527-916X/external-identifiers/851695)
9. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-2527-916X/researcher-urls/1281064)
10. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-2527-916X/external-identifiers/1121717)
11. [SciGraph](https://scigraph.springernature.com/person.011120141722.11)
12. National Library of Israel Names and Subjects Authority File