Shailik Sarkar

Shailik Sarkar is a Ph.D. student in the Department of Computer Science. He is also pursuing the NSF-sponsored UrbComp certificate. His advisor is Chang-Tien Lu.

Sarkar’s research focuses on spatial data mining and application of machine learning in health analytics.

Ph.D Student
Research Areas:

Artificial Intelligence
Forecasting
Health Informatics

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Publications

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New! Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties

Shailik Sarkar, Abdulaziz Alhamadani
In Proceedings of the Big Data, (pp 5338-5345), 01/2023
Citatations: BibTeX

New! DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data

Abdulaziz Alhamadani, Shailik Sarkar, Lulwah AlKulaib
In Proceedings of the Big Data, (pp 5163-5172), 01/2023
Citatations: BibTeX

New! HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets

Lulwah AlKulaib, Abdulaziz Alhamadani, Shailik Sarkar
In Proceedings of the Big Data, (pp 693-700), 01/2023
Citatations: BibTeX

In the News

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