# Hansheng Lei

> university teacher and researcher

**Wikidata**: [Q102427107](https://www.wikidata.org/wiki/Q102427107)  
**Source**: https://4ort.xyz/entity/hansheng-lei

## Summary
Hansheng Lei is a university teacher and researcher in computer science who serves as a professor in the Department of Computer Science at the University of Texas Rio Grande Valley. He is known for research and teaching in machine learning, computer vision, and data mining and for his academic career anchored by a PhD in computer science from the University at Buffalo (2006).

## Biography
- Education: PhD (Computer Science), University at Buffalo (2006); MSc, University of Science and Technology of China (2001); BSc, Ocean University of China (1998)
- Known for: Research and teaching in machine learning, computer vision, and data mining
- Employer(s): University of Texas Rio Grande Valley (professor, start time 2018); affiliated with University of Texas Rio Grande Valley College of Engineering & Computer Science
- Field(s): Machine learning; computer vision; data mining

## Contributions
Hansheng Lei has an established academic profile in machine learning, computer vision, and data mining. He earned a PhD in computer science from the University at Buffalo in 2006 under doctoral advisor Venugopal Govindaraju, which positions him within a documented academic lineage. Since 2018 he has held a professorial appointment in the Department of Computer Science at the University of Texas Rio Grande Valley, where he contributes to research, curriculum, and departmental activities within the College of Engineering & Computer Science. His scholarly output is recorded across multiple bibliographic and indexing systems: Mathematical Reviews (mr_author_id: 840067), zbMATH (lei.hansheng), Dimensions (016354173751.41), and the Mathematics Genealogy Project (id 187265), indicating peer-reviewed publications and formal academic contributions. He maintains an English-language personal website (https://hansheng.yolasite.com/) that presents his professional information. The available records collectively show sustained research activity and academic dissemination in AI-related fields, though specific paper titles, patents, or projects are not listed in the provided material.

## FAQs
### Q: What is Hansheng Lei's current position?
A: He is a professor in the Department of Computer Science at the University of Texas Rio Grande Valley, with a professorial appointment beginning in 2018.

### Q: What are his main research areas?
A: His primary research fields are machine learning, computer vision, and data mining within the broader domain of artificial intelligence.

### Q: Where did he receive his PhD and who was his advisor?
A: He received his PhD in computer science from the University at Buffalo in 2006. His doctoral advisor was Venugopal Govindaraju.

## Why They Matter
Hansheng Lei's role as a professor and researcher anchors ongoing teaching and research activity in machine learning, computer vision, and data mining at a U.S. research university. His academic trajectory—BSc (Ocean University of China, 1998), MSc (University of Science and Technology of China, 2001), and PhD (University at Buffalo, 2006)—links strong educational foundations across major institutions in China and the United States. The presence of his author identifiers in major indexing systems (Mathematical Reviews, zbMATH, Dimensions) documents a body of peer-reviewed work and enables discoverability and citation by other researchers. As a faculty member at the University of Texas Rio Grande Valley since 2018, he contributes to educating computer science students, developing curriculum, and advancing research in AI-related subfields. Without such faculty and documented scholarship, local research capacity, student training in these technical areas, and contributions to the scholarly record in machine learning and computer vision at his institution would be reduced. His documented academic lineage (doctoral advisor and genealogy IDs) also situates him within ongoing mentorship and knowledge transfer networks in computer science.

## Notable For
- Serving as a professor in the Department of Computer Science at the University of Texas Rio Grande Valley (appointment beginning in 2018).
- Earning a PhD in computer science from the University at Buffalo in 2006 under advisor Venugopal Govindaraju.
- Research focus in machine learning, computer vision, and data mining.
- Presence in multiple scholarly indexing systems: MR author id 840067, zbMATH author id lei.hansheng, Dimensions author id 016354173751.41.
- Academic genealogy entry (Mathematics Genealogy Project id 187265) documenting doctoral lineage.

## Body

### Education
- 1998: Bachelor of Science, Ocean University of China.
- 2001: Master of Science, University of Science and Technology of China.
- 2006: Doctor of Philosophy (Computer Science), University at Buffalo.
- Doctoral advisor: Venugopal Govindaraju.

### Academic appointments and affiliation
- 2018–present: Professor (Department of Computer Science), University of Texas Rio Grande Valley.
- Affiliated with University of Texas Rio Grande Valley College of Engineering & Computer Science.
- Work location recorded as Brownsville.

### Research areas and activity
- Core fields: machine learning; computer vision; data mining.
- Contributions are recorded in academic indices and bibliographic databases (MR, zbMATH, Dimensions), indicating peer-reviewed publications and scholarly output.
- Maintains an English-language professional website: https://hansheng.yolasite.com/.

### Academic identifiers and professional metadata
- MR author id: 840067.
- zbMATH author id: lei.hansheng.
- Dimensions author id: 016354173751.41.
- Mathematics Genealogy Project id: 187265.
- academic_tree_id: 262448.
- mr_author_id and other identifiers link to cataloged scholarly records.

### Academic lineage
- Doctoral advisor: Venugopal Govindaraju (documented in doctoral records).
- Entry in academic genealogy resources documents mentorship relationships and lineage within computer science.

## Schema Markup
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## References

1. Mathematics Genealogy Project