PeopleofSuperintelligence

Researcher

N. S. Sridharan

Also known as Natesa Sastri Sridharan, Natesa Sridharan

Sridharan was an AI researcher whose papers ranged from organic chemical synthesis and plan recognition to knowledge representation and real-time AI systems. He earned a PhD at Stony Brook in 1971 under Herbert Gelernter, then published at IJCAI on chemical synthesis in 1973 and on plan recognition in 1977. Three of his doctoral students finished at Rutgers University, New Brunswick, in 1979, 1983 and 1987. He served as an IJCAI Trustee from 1985 to 1989 and as Program Chair of IJCAI-89, and in 1991 he and Susan Epstein published a paper on knowledge representation for mathematical discovery in graph theory.

Born
1947
Died
2006
Works
43
Citations
739
h-index
11
Badges

Years link to their sources. Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1971

    PhD at Stony Brook

    He earns a PhD at the State University of New York at Stony Brook in 1971, with a dissertation on applying artificial intelligence to organic chemical synthesis. Herbert Gelernter is his advisor.

  2. 1973

    Chemical synthesis at IJCAI

    In 1973, he has two IJCAI papers: “Search Strategies for the Task of Organic Chemical Synthesis” on his own, and “Analysis of Behavior of Chemical Molecules: Rule Formation on Non-Homogeneous Classes of Objects” with Bruce G. Buchanan.

  3. 1977

    Plan recognition at IJCAI

    In 1977, he has two papers at IJCAI: “Plan Recognition Using a Hypothesize and Revise Paradigm” with Charles F. Schmidt, and “Representation of Actions That Have Side-Effects” with Frank M. Hawrusik.

  4. 1979–1987

    Rutgers doctoral students

    He advises three doctoral students at Rutgers University, New Brunswick, who finish in 1979 (Lawrence Welsch), 1983 (Susan Epstein) and 1987 (Donna Jo Nagel).

  5. 1985–1987

    Essays in AI Magazine

    AI Magazine publishes his essay “Evolving Systems of Knowledge” in September 1985, a personal perspective on the symbolic representation and organization of knowledge. In 1987, it runs his report on the 1986 Workshop on Distributed AI, with a history of earlier Distributed AI workshops, highlights of the roundtable discussions and the participants’ research abstracts.

  6. 1985–1989

    IJCAI trustee at FMC

    He serves as an IJCAI Trustee from 1985 to 1989, with FMC Corporation’s Central Engineering Laboratories as his affiliation.

  7. 1989

    Program chair of IJCAI-89

    In 1989, he is Program Chair of IJCAI-89 and co-authors the IJCAI paper “Real-Time AI Systems: A Definition and an Architecture” with Rajendra T. Dodhiawala, Peter Raulefs and Cynthia Pickering.

  8. 1991

    A graph theory discovery paper

    In 1991, he and Susan Epstein publish “Knowledge Representation for Mathematical Discovery: Three Experiments in Graph Theory” in Applied Intelligence, volume 1, issue 1, pages 7–33. It is a key reference for Epstein’s Graph Theorist (GT), an implemented system that did original mathematical research in graph theory.

Career

  1. 1985–1989FMC Corporation
  2. 1977–1985Rutgers University

Education

  1. 1971Stony Brook UniversityPhD

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. The plan recognition problem: An intersection of psychology and artificial intelligence1978 · Artificial Intelligence · 291 citations
  2. Applications of artificial intelligence for chemical inference. XII. Exhaustive generation of cyclic and acyclic isomers1974 · Journal of the American Chemical Society · 73 citationsWith Joshua Lederberg
  3. The representation of an evolving system of legal concepts: II. phototypes and deformations1981 · 61 citations
  4. Real-time AI systems: a definition and an architecture1989 · 34 citationsWith Peter Raulefs
  5. Applications of artificial intelligence for chemical inference. XIII. Labeling of objects having symmetry1974 · Journal of the American Chemical Society · 32 citations

From OpenAlex, as of 21 October 2026.

  1. Universities keep AI researchers for a median of 6 years, compared with 2 years at frontier labsIncludes Rutgers University. Across 15,811 dated work stays (6,529 people), median role tenure runs from 6 years at universities to 2 years at frontier labs. We compare all five organization types, starting decades from the 1970s to the 2020s, and the organizations that keep people longest.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Rutgers University. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Rutgers University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Rutgers University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Natesa Sridharan - The Mathematics Genealogy Project mathgenealogy.org. Checked 20 October 2026.
  2. Sridharan, N. S. | ML Anthology mlanthology.org. Checked 20 October 2026.
  3. Evolving Systems of Knowledge | AI Magazine ojs.aaai.org. Checked 20 October 2026.
  4. 1986 Workshop on Distributed AI | AI Magazine ojs.aaai.org. Checked 20 October 2026.
  5. Other Former Officers | IJCAI ijcai.org. Checked 20 October 2026.
  6. Susan Epstein -- Graph Theory cs.hunter.cuny.edu. Checked 20 October 2026.