Jishan Ahmed

About

Academic Field: My primary academic field is Data Science, with a specific emphasis on Machine Learning and Deep Learning.

Research Interests: My research involves the analysis of longitudinal healthcare data, device sensor data, and unstructured satellite imagery. These analyses are often conducted in the context of public health crises or issues. Additionally, I am expanding my focus to include text analytics, aiming to contribute to the field of computational social science.

Employment

• Weber State University Data Science Assistant Professor
  2023 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• Cost aware LSTM model for predicting hard disk drive failures based on extremely imbalanced S.M.A.R.T. sensors data
  Engineering Applications of Artificial Intelligence 2024 DOI: 10.1016/j.engappai.2023.107339
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• Leveraging machine learning to evaluate factors influencing vitamin D insufficiency in SLE patients: A case study from southern Bangladesh
  PLOS Global Public Health 2023 DOI: 10.1371/journal.pgph.0002475
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• Predicting severely imbalanced data disk drive failures with machine learning models
  Machine Learning with Applications 2022 DOI: 10.1016/j.mlwa.2022.100361
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• Explainable Machine Learning Approaches to Assess the COVID-19 Vaccination Uptake: Social, Political, and Economic Aspects
  Preprints 2022 DOI: 10.20944/preprints202206.0115.v1
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• Effect of environmental and socio-economic factors on the spreading of COVID-19 at 70 cities/provinces
  Heliyon 2021 DOI: 10.1016/j.heliyon.2021.e06979
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• Numerical solutions of third-order boundary value problems associated with draining and coating flows
  Kyungpook Mathematical Journal 2017 DOI: 10.5666/KMJ.2017.57.4.651
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