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M. Awad

4 papers hereh-index 325 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CY1
  • cs.DS1
same name
  • M. Awad — 15 papers, h 23
  • M. Awad — 1 paper, h 14
  • M. Awad — 1 paper, h 4
  • M. Awad — 1 paper, h 1
  • M. Awad — 1 paper, h 14
  • M. Awad — 1 paper, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.DS2026

The Plan Language of a Curriculum: A Formal Model and the Complexity of Degree Planning

Sherzod Turaev, Mary John, Mamoun Awad

We model an academic curriculum as a generator of a language of feasible study plans: prerequisites are monotone Boolean formulas in conjunctive normal form, degree requirements ar…

cs.CY2026

Measuring Curriculum-Labor Market Alignment at the Scale of a Program Portfolio

Sherzod Turaev, Saja Aldabet, Mary John +4

A college offering several overlapping computing degrees implicitly assumes that its programs are differentiated in line with how the labor market segments computing work and that,…

cs.AI2026

Measuring Curriculum Alignment across Topical Coverage, Competency, and Cognitive Depth: A Longitudinal Framework Applied to CS2013 and CS2023

Sherzod Turaev, Mary John, Saja Aldabet +3

Undergraduate computer science is governed by international curricular guidelines revised about once a decade, yet programs lack a reliable way to measure how completely they cover…

cs.AI2026

An NLP-Driven Framework for Curriculum-Labor Market Alignment: Schema-Constrained LLM Extraction, ESCO-Anchored Semantic Matching, and Multi-Dimensional Gap Quantification

Sherzod Turaev, Mary John, Mamoun Awad +2

Schema-constrained information extraction from diverse educational and labor-market corpora remains an open challenge in natural language processing because existing pipelines rely…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.