Abrar Rahman

University of California, Berkeley

H-index: 3

North America-United States

About Abrar Rahman

Abrar Rahman, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Machine Learning, Natural Language Processing, Bioinformatics, Decentralized Finance.

His recent articles reflect a diverse array of research interests and contributions to the field:

Rental NFT Protocol With Advanced Rewards Splitting

Systematization of Knowledge: Synthetic Assets, Derivatives, and On-Chain Portfolio Management

Renewable Energy Economics: Understanding the Costs and Capacity of Green Energy in the United States

Modeling Influenza with a Forest Deep Neural Network Utilizing a Virtualized Clinical Semantic Network

Disease Modeling with a Forest Deep Neural Network Utilizing NLP and a Virtualized Clinical Semantic Network

Federated Learning Approach to Support Biopharma and Healthcare Collaboration to Accelerate Crisis Response

A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN)

Abrar Rahman Information

University	University of California, Berkeley
Position	Student
Citations(all)	14
Citations(since 2020)	14
Cited By	0
hIndex(all)	3
hIndex(since 2020)	3
i10Index(all)	0
i10Index(since 2020)	0
Email	Access Email
University Profile Page	University of California, Berkeley
Google Scholar	View Google Scholar Profile

Abrar Rahman Skills & Research Interests

Machine Learning

Natural Language Processing

Bioinformatics

Decentralized Finance

Abrar Rahman

University of California, Berkeley

About Abrar Rahman

Abrar Rahman Information

Abrar Rahman Skills & Research Interests

Top articles of Abrar Rahman

Rental NFT Protocol With Advanced Rewards Splitting

Abrar Rahman

Systematization of Knowledge: Synthetic Assets, Derivatives, and On-Chain Portfolio Management

Abrar Rahman

Renewable Energy Economics: Understanding the Costs and Capacity of Green Energy in the United States

Abrar Rahman

Modeling Influenza with a Forest Deep Neural Network Utilizing a Virtualized Clinical Semantic Network

Abrar Rahman

Akm Shahariar Azad Rabby

Aminul Islam

Disease Modeling with a Forest Deep Neural Network Utilizing NLP and a Virtualized Clinical Semantic Network

Abrar Rahman

Akm Shahariar Azad Rabby

Aminul Islam

Federated Learning Approach to Support Biopharma and Healthcare Collaboration to Accelerate Crisis Response

Arijit Mitra

Abrar Rahman

A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN)

Abrar Rahman

Co-Authors

Shahariar Rabby

Md. Majedul Islam

Yonatan Weiner