Aniruddha Adiga

Aniruddha Adiga

University of Virginia

H-index: 16

North America-United States

About Aniruddha Adiga

Aniruddha Adiga, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of Signal processing, machine learning, Deep learning.

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

Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the US COVID-19 Scenario Modeling Hub

Wastewater-based epidemiology for covid-19 surveillance: A survey

Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi …

Informing pandemic response in the face of uncertainty. An evaluation of the US COVID-19 Scenario Modeling Hub

Phase-Informed Bayesian ensemble models improve performance of COVID-19 forecasts

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India

Aniruddha Adiga Information

University

Position

Postdoctoral Research Associate Biocomplexity Institute and Initiative

Citations(all)

831

Citations(since 2020)

784

Cited By

137

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

16

i10Index(since 2020)

16

Email

University Profile Page

University of Virginia

Google Scholar

View Google Scholar Profile

Aniruddha Adiga Skills & Research Interests

Signal processing

machine learning

Deep learning

Top articles of Aniruddha Adiga

Title

Journal

Author(s)

Publication Date

Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the US COVID-19 Scenario Modeling Hub

PLoS medicine

Sung-mok Jung

Sara L Loo

Emily Howerton

Lucie Contamin

Claire P Smith

...

2024/4/17

Wastewater-based epidemiology for covid-19 surveillance: A survey

ArXiv

Chen Chen

Gursharn Kaur

Aniruddha Adiga

Baltazar Espinoza

Srinivasan Venkatramanan

...

2024/3/22

Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi …

The Lancet Regional Health–Americas

Rebecca K Borchering

Luke C Mullany

Emily Howerton

Matteo Chinazzi

Claire P Smith

...

2023/1/1

Informing pandemic response in the face of uncertainty. An evaluation of the US COVID-19 Scenario Modeling Hub

medRxiv

Emily Howerton

Lucie Contamin

Luke C Mullany

Michelle Qin

Nicholas G Reich

...

2023/7/3

Phase-Informed Bayesian ensemble models improve performance of COVID-19 forecasts

Proceedings of the AAAI Conference on Artificial Intelligence

Aniruddha Adiga

Gursharn Kaur

Lijing Wang

Benjamin Hurt

Przemyslaw Porebski

...

2023/6/26

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

medRxiv

Sarabeth M Mathis

Alexander E Webber

Avranil Basu

John M Drake

Lauren A White

...

2023

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Elife

Katharine Sherratt

Hugo Gruson

Helen Johnson

Rene Niehus

Bastian Prasse

...

2023/4/21

A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India

Aniruddha Adiga

Benjamin Hurt

Gursharn Kaur

Bryan Lewis

Madhav Marathe

...

2023/12/10

Challenges of COVID-19 Case Forecasting in the US, 2020-2021

Velma Lopez

Estee Y Cramer

Robert Pagano

John M Drake

Eamon B O'Dea

...

2023

Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions

Proceedings of the National Academy of Sciences

Baltazar Espinoza

Aniruddha Adiga

Srinivasan Venkatramanan

Andrew Scott Warren

Jiangzhuo Chen

...

2023/11/28

The Role of Artificial Intelligence in Epidemiological Modeling

Aniruddha Adiga

Srinivasan Venkatramanan

Jiangzhuo Chen

Przemyslaw Porebski

Amanda Wilson

...

2023

Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty

Nature communications

Emily Howerton

Lucie Contamin

Luke C Mullany

Michelle Qin

Nicholas G Reich

...

2023/11/20

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support

The International Journal of High Performance Computing Applications

Parantapa Bhattacharya

Jiangzhuo Chen

Stefan Hoops

Dustin Machi

Bryan Lewis

...

2023/1

Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination

Elife

Shaun Truelove

Claire P Smith

Michelle Qin

Luke C Mullany

Rebecca K Borchering

...

2022/6/21

Enhancing COVID-19 ensemble forecasting model performance using auxiliary data sources

Aniruddha Adiga

Gursharn Kaur

Benjamin Hurt

Lijing Wang

Przemyslaw Porebski

...

2022/12/17

IMPACT OF WEEKNIGHT AND WEEKEND CURFEWS USING MOBILITY DATA: A CASE STUDY OF BENGALURU URBAN

medRxiv

Aniruddha Adiga

Siva Athreya

Madhav Marathe

Jagadish Midthala

Nihesh Rathod

...

2022/1/28

Evaluating the utility of high-resolution proximity metrics in predicting the spread of COVID-19

ACM Transactions on Spatial Algorithms and Systems

Zakaria Mehrab

Aniruddha Adiga

Madhav V Marathe

Srinivasan Venkatramanan

Samarth Swarup

2022/12/1

AI techniques for forecasting epidemic dynamics: Theory and practice

Aniruddha Adiga

Bryan Lewis

Simon Levin

Madhav V Marathe

H Vincent Poor

...

2022/11/10

Combining Theory and Data-Driven Approaches for Epidemic Forecasts

Lijing Wang

Aniruddha Adiga

Jiangzhuo Chen

Bryan Lewis

Adam Sadilek

...

2022/8/15

The United States COVID-19 forecast hub dataset

Scientific data

Estee Y Cramer

Yuxin Huang

Yijin Wang

Evan L Ray

Matthew Cornell

...

2022/8/1

See List of Professors in Aniruddha Adiga University(University of Virginia)

Co-Authors

H-index: 94
Milind Tambe

Milind Tambe

Harvard University

H-index: 66
Madhav  Marathe

Madhav Marathe

University of Virginia

H-index: 47
Anil Vullikanti (V. S. Anil Kumar)

Anil Vullikanti (V. S. Anil Kumar)

University of Virginia

H-index: 35
Bryan Lewis

Bryan Lewis

University of Virginia

H-index: 28
Chandra Sekhar Seelamantula

Chandra Sekhar Seelamantula

Indian Institute of Science

H-index: 27
Jiangzhuo Chen

Jiangzhuo Chen

University of Virginia

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