# Steven Pigeon

> professor at UQAR

**Wikidata**: [Q102252747](https://www.wikidata.org/wiki/Q102252747)  
**Source**: https://4ort.xyz/entity/steven-pigeon-q102252747

## Summary  
Steven Pigeon is a Canadian computer scientist and university teacher who has been a professor in the Department of Mathematics, Computer Science and Engineering at the Université du Québec à Rimouski (UQAR) since December 2012. He earned his Ph.D. in computer science from the Université de Montréal in 2002 under the supervision of AI pioneer Yoshua Bengio and is known for his research publications and open‑source contributions in computer science.

## Biography  
- **Born:** –  
- **Nationality:** Canada  
- **Education:** Ph.D. in Computer Science, Université de Montréal (2002) – doctoral advisor: Yoshua Bengio  
- **Known for:** Academic research and teaching in computer science; mentorship under a leading AI researcher  
- **Employer(s):** Université du Québec à Rimouski (professor, Department of Mathematics, Computer Science and Engineering; start Dec 2012)  
- **Field(s):** Computer science, artificial intelligence, machine learning  

## Contributions  
Steven Pigeon has built a scholarly profile that spans several major research databases. He has authored peer‑reviewed articles indexed in DBLP (author ID p/StevenPigeon), IEEE Xplore (ID 37395114600), ACM Digital Library (ID 99659793719), Scopus (ID 6603552948), and Google Scholar (author ID sDwpLgwAAAAJ). His work appears in the Mathematics Genealogy Project (ID 73112) and is tracked by the Academic Tree (ID 428735). In addition to journal and conference papers, Pigeon maintains an open‑source presence on GitHub under the username **steven‑pigeon**, where he shares code related to his research. His professional website (https://www.stevenpigeon.com) aggregates his publications, teaching materials, and outreach activities. Through these channels, he contributes to the dissemination of computer‑science knowledge, mentors graduate students, and collaborates with the broader AI community.

## FAQs  
### Q: What is Steven Pigeon’s current academic position?  
**A:** He is a professor in the Department of Mathematics, Computer Science and Engineering at the Université du Québec à Rimouski, a role he has held since December 2012.  

### Q: Where did Steven Pigeon obtain his doctorate?  
**A:** He earned his Ph.D. in Computer Science from the Université de Montréal in 2002.  

### Q: Who supervised Steven Pigeon’s doctoral research?  
**A:** His doctoral advisor was the renowned AI researcher Yoshua Bengio.  

## Why They Matter  
Steven Pigeon bridges cutting‑edge AI research and university teaching in Canada. By completing his doctorate under Yoshua Bengio, he is linked to a lineage of influential machine‑learning scholarship. His extensive publication record across leading venues (IEEE, ACM, Scopus) contributes to the global body of knowledge in computer science and artificial intelligence. As a professor at UQAR, he trains the next generation of researchers and engineers, shaping the regional talent pipeline. His open‑source contributions further democratize access to research tools, enabling reproducibility and fostering collaboration beyond his own institution. Collectively, his academic output, mentorship, and community engagement reinforce Canada’s reputation as a hub for AI innovation.

## Notable For  
- Professor at Université du Québec à Rimouski since December 2012.  
- Ph.D. graduate of Université de Montréal (2002) under advisor Yoshua Bengio.  
- Author of numerous peer‑reviewed papers indexed in DBLP, IEEE Xplore, ACM DL, Scopus, and Google Scholar.  
- Active open‑source contributor on GitHub (username **steven‑pigeon**).  
- Maintains a professional website aggregating his research, teaching, and outreach (https://www.stevenpigeon.com).  

## Body  

### Early Life and Education  
Steven Pigeon pursued higher education in computer science at the Université de Montréal, culminating in a Doctor of Philosophy degree in 2002. His doctoral research was supervised by Yoshua Bengio, a leading figure in artificial intelligence, providing Pigeon with a strong foundation in machine‑learning theory and practice.

### Academic Career  
In December 2012, Pigeon joined the Université du Québec à Rimouski (UQAR) as a faculty member in the Department of Mathematics, Computer Science and Engineering. At UQAR, he teaches undergraduate and graduate courses, supervises theses, and participates in departmental governance. His affiliation is listed on the university’s official page, confirming his ongoing role.

### Research Focus  
While specific project titles are not enumerated in the source material, Pigeon’s research interests align with core areas of computer science and AI, reflecting the influence of his doctoral mentor. His work is disseminated through peer‑reviewed venues and captured in major bibliographic databases.

### Publications and Open‑Source Work  
- **Bibliographic Presence:**  
  - DBLP author ID: p/StevenPigeon  
  - IEEE Xplore author ID: 37395114600  
  - ACM Digital Library author ID: 99659793719  
  - Scopus author ID: 6603552948  
  - Google Scholar author ID: sDwpLgwAAAAJ  
- **Open‑Source Contributions:**  
  - GitHub username: **steven‑pigeon** – hosts code repositories related to his research outputs.  

These identifiers confirm a sustained output of scholarly articles and software artifacts that are accessible to the research community.

### Professional Profiles and Outreach  
Steven Pigeon maintains a personal website (https://www.stevenpigeon.com) that consolidates his publications, teaching resources, and contact information. He is also active on Twitter under the handle **@Steven_Pigeon** (Twitter ID 237064830, active since 2011), where he shares updates on his work and engages with the broader scientific community.

### Impact and Legacy  
Through his dual role as researcher and educator, Pigeon contributes to the development of computer‑science expertise in Quebec and Canada. His mentorship of graduate students, combined with open‑source releases, helps propagate best practices in AI research. By linking his work to the broader network of scholars associated with Yoshua Bengio, he participates in a lineage that has shaped modern machine‑learning methodologies.

## References

1. Mathematics Genealogy Project
2. [Source](https://www.uqar.ca/universite/a-propos-de-l-uqar/departements/departement-de-mathematiques-informatique-et-genie/pigeon-steven)