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researcher

Majd Al Aawar

2 papers here

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • q-bio.PE1
ORCID 0009-0004-9026-9085
same name
  • Majd Al Aawar — 1 paper, h 2

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

most citedGlobal Prediction of COVID-19 Variant Emergence Using Dynamics-Informed Graph Neural Networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.PE2024★ 1 cited

Global Prediction of COVID-19 Variant Emergence Using Dynamics-Informed Graph Neural Networks

Majd Al Aawar, Srikar Mutnuri, Mansooreh Montazerin +1

During the COVID-19 pandemic, a major driver of new surges has been the emergence of new variants. When a new variant emerges in one or more countries, other nations monitor its sp…

cs.LG2022

Random Forest of Epidemiological Models for Influenza Forecasting

Majd Al Aawar, Ajitesh Srivastava

Forecasting the hospitalizations caused by the Influenza virus is vital for public health planning so that hospitals can be better prepared for an influx of patients. Many forecast…

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