# Sholom Menachem Weiss

> Ph.D. Rutgers University, New Brunswick 1974

**Wikidata**: [Q102249155](https://www.wikidata.org/wiki/Q102249155)  
**Source**: https://4ort.xyz/entity/sholom-menachem-weiss

## Summary
Sholom Menachem Weiss is a computer scientist who earned a Ph.D. from Rutgers University, New Brunswick in 1974. He is best known for "pioneering contributions to practical systems for causal and expert reasoning, and machine learning, especially in biomedicine," recognized by his election as an AAAI Fellow in 1993.

## Biography
- Education: Ph.D., Rutgers University, New Brunswick, 1974
- Known for: Pioneering contributions to practical systems for causal and expert reasoning, and machine learning, especially in biomedicine
- Field(s): Computer science
- Occupation: Computer scientist
- Doctoral advisor: Casimir Alexander Kulikowski
- Doctoral students: David Julian Lubinsky; John Karl Kastner; Peter George Politakis; Chidanand V. Apté; Allen Ginsberg; Rajesh Dube; Ioannis Kapouleas; Nitin Indurkhya

## Contributions
Sholom M. Weiss has been recognized for foundational, application-oriented work in causal and expert reasoning and in machine learning with particular relevance to biomedicine. His election as an AAAI Fellow in 1993 cites "pioneering contributions to practical systems for causal and expert reasoning, and machine learning, especially in biomedicine." Weiss has supervised multiple doctoral students who completed research under his direction, including Chidanand V. Apté and Nitin Indurkhya, indicating sustained research and mentorship activity. His scholarship is indexed across major bibliographic and technical repositories, as evidenced by identifiers such as a DBLP author entry (w/SholomMWeiss), an IEEE Xplore author ID (37383012900), an ACM Digital Library author ID (81100500245), and entries in VIAF, WorldCat, and the Mathematics Genealogy Project (ID 70259). These records document his authored works and their dissemination in the computer science literature, and they support his role in building and publishing practical systems and research outputs in machine learning and expert systems, particularly applied to biomedical problems.

## FAQs
### Q: Who is Sholom Menachem Weiss?
A: Sholom M. Weiss is a computer scientist who earned a Ph.D. from Rutgers University, New Brunswick in 1974 and was elected an AAAI Fellow in 1993 for work on causal and expert reasoning and machine learning in biomedicine.

### Q: What major honors has he received?
A: He was named an AAAI Fellow in 1993, cited specifically for pioneering contributions to practical systems for causal and expert reasoning and machine learning, especially in biomedicine.

### Q: Who advised Weiss for his doctorate and whom did he advise?
A: His doctoral advisor was Casimir Alexander Kulikowski. He supervised doctoral students including David Julian Lubinsky, John Karl Kastner, Peter George Politakis, Chidanand V. Apté, Allen Ginsberg, Rajesh Dube, Ioannis Kapouleas, and Nitin Indurkhya.

## Why They Matter
Sholom M. Weiss's significance rests on applied advances in reasoning and learning systems and on mentoring successive researchers. The AAAI Fellowship citation identifies him as a pioneer in creating practical systems for causal and expert reasoning and for applying machine learning methods to biomedical problems. That recognition signals peer acknowledgement that his work moved beyond theory to usable systems in applied settings. His supervision of multiple doctoral students extended his influence by training researchers who continued work in related areas. The presence of his publications in major digital libraries and authority files (DBLP, IEEE Xplore, ACM Digital Library, VIAF, WorldCat, Mathematics Genealogy Project) shows that his research has been formally recorded and is accessible to the community. Without his contributions, the corpus of practical expert systems and biomedical machine-learning applications from his era would have lacked a recognized contributor and mentor; his AAAI Fellow status documents a lasting professional impact within the AI and machine learning communities.

## Notable For
- Elected AAAI Fellow (1993) "For pioneering contributions to practical systems for causal and expert reasoning, and machine learning, especially in biomedicine."
- Ph.D. from Rutgers University, New Brunswick (1974).
- Doctoral advisor: Casimir Alexander Kulikowski.
- Supervised multiple doctoral students, including Chidanand V. Apté and Nitin Indurkhya.
- Authored works indexed in major technical and bibliographic databases (DBLP, IEEE Xplore, ACM Digital Library, VIAF, WorldCat).

## Body
### Education
- Ph.D., Rutgers University, New Brunswick, 1974.
- Doctoral advisor: Casimir Alexander Kulikowski.

### Honors and Awards
- AAAI Fellow, 1993.
  - Citation: "For pioneering contributions to practical systems for causal and expert reasoning, and machine learning, especially in biomedicine."

### Academic Mentorship
- Doctoral students supervised:
  - David Julian Lubinsky
  - John Karl Kastner
  - Peter George Politakis
  - Chidanand V. Apté
  - Allen Ginsberg
  - Rajesh Dube
  - Ioannis Kapouleas
  - Nitin Indurkhya

### Research Focus
- Practical systems for causal reasoning.
- Expert reasoning systems.
- Machine learning with applications in biomedicine.

### Bibliographic and Authority Identifiers
- ISNI: 0000000083401803
- VIAF: 21060280
- Library of Congress authority ID: n83161060
- WorldCat entities ID: E39PCjFvtxDDC9p3cXGVpK73ry
- DBLP author ID: w/SholomMWeiss
- IEEE Xplore author ID: 37383012900
- ACM Digital Library author ID: 81100500245
- Mathematics Genealogy Project ID: 70259
- Additional library and national authority identifiers: VIAF, NDL, BIBSYS, Cinii, NLA Trove, and others as recorded in bibliographic records.

### Records and Cataloging
- Listed under variants: Sholom M. Weiss; Sholom M Weiss.
- Catalog entries and authority records document published works and bibliographic presence across international catalogs.

## References

1. IdRef
2. [Source](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/)
3. Mathematics Genealogy Project
4. Virtual International Authority File
5. CiNii Research