Sayantani Basu

About Sayantani Basu

Sayantani Basu, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of Artificial Intelligence, Interactive Computing.

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

Hybrid photoacoustic imaging and fast ultrasound localization microscopy to probe the tumor microenvironment

Microbiome Metabolome Integration Platform (MMIP): a web-based platform for microbiome and metabolome data integration and feature identification

Machine Learning and Visualizations for Time-Series Healthcare Data

Detection of Novel COVID-19 Variants with Zero-Shot Learning

Classifying COVID-19 variants based on genetic sequences using deep learning models

A deep learning approach to identify seizure-prone and normal patients from their EEG records

Identifying New COVID-19 Variants from Spike Proteins Using Novelty Detection

Going by the numbers: Learning and modeling COVID-19 disease dynamics

Sayantani Basu Information

University

Position

PhD Student in Computer Science

Citations(all)

394

Citations(since 2020)

341

Cited By

165

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Sayantani Basu Skills & Research Interests

Artificial Intelligence

Interactive Computing

Top articles of Sayantani Basu

Hybrid photoacoustic imaging and fast ultrasound localization microscopy to probe the tumor microenvironment

Cancer Research

2024/3/22

Microbiome Metabolome Integration Platform (MMIP): a web-based platform for microbiome and metabolome data integration and feature identification

Briefings in Bioinformatics

2023/9/28

Machine Learning and Visualizations for Time-Series Healthcare Data

2023/6/26

Sayantani Basu
Sayantani Basu

H-Index: 5

Detection of Novel COVID-19 Variants with Zero-Shot Learning

2023/6/26

Classifying COVID-19 variants based on genetic sequences using deep learning models

2022/7/26

Sayantani Basu
Sayantani Basu

H-Index: 5

Roy H Campbell
Roy H Campbell

H-Index: 37

A deep learning approach to identify seizure-prone and normal patients from their EEG records

medRxiv

2022/6/16

Sayantani Basu
Sayantani Basu

H-Index: 5

Roy H Campbell
Roy H Campbell

H-Index: 37

Identifying New COVID-19 Variants from Spike Proteins Using Novelty Detection

2022

Sayantani Basu
Sayantani Basu

H-Index: 5

Roy H Campbell
Roy H Campbell

H-Index: 37

Going by the numbers: Learning and modeling COVID-19 disease dynamics

Chaos, Solitons & Fractals

2020/9/1

Sayantani Basu
Sayantani Basu

H-Index: 5

Roy H Campbell
Roy H Campbell

H-Index: 37

A study of the dynamics and genetics of COVID-19 through machine learning

2020/7/22

Sayantani Basu
Sayantani Basu

H-Index: 5

See List of Professors in Sayantani Basu University(University of Illinois at Urbana-Champaign)