# Xiao-Chuan Cai

> computer science professor and researcher

**Wikidata**: [Q89650923](https://www.wikidata.org/wiki/Q89650923)  
**Source**: https://4ort.xyz/entity/xiao-chuan-cai

## Summary
Xiao-Chuan Cai is a computer science professor and researcher and professor emeritus at the University of Colorado Boulder. He is a Fellow of the Society for Industrial and Applied Mathematics (2016), recognized for advances in scalable implicit methods for linear and nonlinear partial differential equations and their application in science and engineering.

## Biography
- Education: Bachelor of Science, Peking University (1984); Master of Science, Courant Institute School of Mathematics, Computing, and Data Science (1988); Doctor of Philosophy, Courant Institute School of Mathematics, Computing, and Data Science (1989).
- Occupation: researcher; university teacher (professor emeritus).
- Known for: advances in scalable implicit methods for linear and nonlinear partial differential equations and wide application in science and engineering.
- Employer(s): University of Colorado Boulder (Computer Science Department; professor emeritus).
- Field(s): computer applications; computer modeling; computer science; numerical analysis; parallel algorithms; supercomputer.
- Work location: Boulder.
- Membership: Fellow of the Society for Industrial and Applied Mathematics (elected 2016).

## Contributions
Xiao-Chuan Cai’s work centers on numerical analysis, scalable implicit algorithms, and high-performance computing methods applied to partial differential equations (PDEs). His contributions include development and dissemination of scalable implicit methods for linear and nonlinear PDEs that have been applied across science and engineering; this body of work was explicitly recognized by his election as a SIAM Fellow in 2016 “for advances in scalable implicit methods for linear and nonlinear partial differential equations and wide application in science and engineering.” Cai completed his Ph.D. at the Courant Institute in 1989 under doctoral advisor Olof B. Widlund and has supervised doctoral students including Feng-Nan Hwang, Chao Jin, and Cui Cong. He has an established academic presence with author identifiers in mathematical and bibliographic databases (Mathematical Reviews author id 291991; zbMath author id cai.xiao-chuan; Mathematics Genealogy Project id 33616) and maintains a professional CV and expert profile hosted by the University of Colorado Boulder.

## FAQs
### Q: Who is Xiao-Chuan Cai?
A: Xiao-Chuan Cai is a computer science researcher and professor emeritus at the University of Colorado Boulder, known for work in numerical analysis and scalable implicit methods for PDEs.

### Q: What is he recognized for professionally?
A: He was named a Fellow of the Society for Industrial and Applied Mathematics in 2016 for advances in scalable implicit methods for linear and nonlinear partial differential equations and their wide application in science and engineering.

### Q: Where did he receive his education?
A: He received a B.S. from Peking University (1984), an M.S. from the Courant Institute (1988), and a Ph.D. from the Courant Institute (1989).

### Q: Who supervised his doctoral work and whom did he supervise?
A: His doctoral advisor was Olof B. Widlund. Among his doctoral students are Feng-Nan Hwang, Chao Jin, and Cui Cong.

### Q: Where can I find his professional profile or CV?
A: His professional profile and curriculum vitae are available through the University of Colorado experts pages and the provided CV link (https://experts.colorado.edu/display/fisid_100636 and https://experts.colorado.edu//vitas/100636.pdf).

## Why They Matter
Xiao-Chuan Cai’s research advanced practical and scalable algorithms for solving linear and nonlinear partial differential equations on high-performance computing platforms. These scalable implicit methods address core computational bottlenecks in simulations used throughout science and engineering, enabling larger and more accurate numerical experiments on parallel and supercomputer architectures. His recognition as a SIAM Fellow in 2016 highlights the technical impact and broad application of his methods. As a faculty member in a major computer science department, he contributed to training the next generation of computational scientists, supervising doctoral students who continued work in related areas. His presence in bibliographic and mathematical databases (MR, zbMath, Mathematics Genealogy Project) reflects a sustained scholarly output that informs numerical analysis, parallel algorithms, and computational modeling communities. Without contributions like his, progress toward scalable, implicit solvers on modern parallel hardware would likely have been slower, constraining the size and fidelity of computational studies in engineering and physical sciences.

## Notable For
- Elected Fellow of the Society for Industrial and Applied Mathematics (SIAM), 2016: cited for advances in scalable implicit methods for linear and nonlinear PDEs and wide application in science and engineering.
- Professor emeritus in the Computer Science Department, University of Colorado Boulder.
- Doctor of Philosophy from the Courant Institute (1989); doctoral advisor Olof B. Widlund.
- Supervised doctoral students including Feng-Nan Hwang, Chao Jin, and Cui Cong.
- Indexed author in major scientific and bibliographic databases (Mathematical Reviews author id 291991; zbMath author id cai.xiao-chuan; Mathematics Genealogy Project id 33616).

## Body
### Education and Early Training
- Bachelor of Science, Peking University, 1984.
- Master of Science, Courant Institute School of Mathematics, Computing, and Data Science, 1988.
- Doctor of Philosophy, Courant Institute School of Mathematics, Computing, and Data Science, 1989.
- Doctoral advisor: Olof B. Widlund.

### Academic Positions and Affiliations
- Academic appointment: University of Colorado at Boulder Computer Science Department.
- Position held: professor emeritus, University of Colorado Boulder.
- Work location recorded as Boulder.

### Research Areas and Work
- Primary fields: computer applications; computer modeling; computer science; numerical analysis; parallel algorithms; supercomputer.
- Recognized research focus: scalable implicit methods for linear and nonlinear partial differential equations and applications across science and engineering.
- Maintains professional and curriculum vitae webpages through the University of Colorado experts system.

### Students and Mentorship
- Doctoral students listed: Feng-Nan Hwang; Chao Jin; Cui Cong.
- Contributed to academic lineage documented in the Mathematics Genealogy Project (id 33616).

### Honors and Memberships
- Fellow of the Society for Industrial and Applied Mathematics (SIAM), elected 2016. Citation: “For advances in scalable implicit methods for linear and nonlinear partial differential equations and wide application in science and engineering.”
- Member of professional community networks and indexed in bibliographic registries.

### Identifiers and External Profiles
- ISNI: 0000000038259879
- VIAF ID: 38686788
- Library of Congress authority ID: n98026263
- MR (Mathematical Reviews) author id: 291991
- zbMath author id: cai.xiao-chuan
- Mathematics Genealogy Project id: 33616
- NUKAT ID: n2011167112
- Yale Lux ID: person/604387e4-8fe7-4922-84c0-3fcc98c7d690
- Website / profile: https://experts.colorado.edu/display/fisid_100636
- Curriculum vitae: https://experts.colorado.edu//vitas/100636.pdf

(All statements above are drawn from the supplied source material.)

## References

1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-0296-8640/employment/358140)
2. [Source](https://experts.colorado.edu/display/fisid_100636)
3. Mathematics Genealogy Project
4. [Source](https://experts.colorado.edu//vitas/100636.pdf)
5. [Source](https://www.siam.org/prizes-recognition/fellows-program/all-siam-fellows?page=1)