World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
11521
World Ranking
10468
National Ranking
4378

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to stochastic resource allocation and active hypothesis testing

Overview

Tara Javidi is affiliated with the University of California, San Diego in the United States. Their research primarily focuses on Computer Science, with notable contributions across subfields such as Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Management Science and Operations Research, and Radiology, Nuclear Medicine and Imaging.

The main topics covered in their body of work include:

  • Stochastic Gradient Optimization Techniques
  • Advanced Bandit Algorithms Research
  • Privacy-Preserving Technologies in Data
  • Machine Learning and Algorithms
  • SARS-CoV-2 detection and testing
  • Biosensors and Analytical Detection
  • COVID-19 diagnosis using AI

Their publication record includes frequent contributions to venues such as:

  • arXiv (Cornell University)
  • IEEE Journal on Selected Areas in Information Theory
  • mSystems
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Control of Network Systems

Selected recent papers authored or co-authored by Tara Javidi include:

  • Advances and Open Problems in Federated Learning, 2020, Foundations and Trends® in Machine Learning
  • A Field Guide to Federated Optimization, 2021, arXiv (Cornell University)
  • High-Throughput Wastewater SARS-CoV-2 Detection Enables Forecasting of Community Infection Dynamics in San Diego County, 2021, mSystems
  • Rapid, Large-Scale Wastewater Surveillance and Automated Reporting System Enable Early Detection of Nearly 85% of COVID-19 Cases on a University Campus, 2021, mSystems
  • Peer-to-Peer Variational Federated Learning Over Arbitrary Graphs, 2022, IEEE Journal on Selected Areas in Information Theory

Frequent collaborators include Farinaz Koushanfar, Nancy Ronquillo, Shubhanshu Shekhar, Smruthi Karthikeyan, and Rob Knight. These co-authors have worked with Javidi on multiple studies across various topics related to machine learning, networks, and biomedical applications.

Tara Javidi's research has been recognized through awards such as the IEEE Fellow designation in 2021, which cited contributions to stochastic resource allocation and active hypothesis testing.

Best Publications

  • Advances and Open Problems in Federated Learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • Advances and open problems in federated learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • Optimality of Myopic Sensing in Multichannel Opportunistic Access

    S. Ahmad;Mingyan Liu;T. Javidi;Qing Zhao

  • Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification

    Yongxi Lu;Abhishek Kumar;Shuangfei Zhai;Yu Cheng

  • Active sequential hypothesis testing

    Mohammad Naghshvar;Tara Javidi

  • Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks

    Mahnoosh Alizadeh;Hoi-To Wai;Mainak Chowdhury;Andrea Goldsmith

  • A high-throughput scheduling algorithm for a buffered crossbar switch fabric

    T. Javidi;R. Magill;T. Hrabik

  • Active Learning and CSI Acquisition for mmWave Initial Alignment

    Sung-En Chiu;Nancy Ronquillo;Tara Javidi

  • A Field Guide to Federated Optimization

    Jianyu Wang;Zachary Charles;Zheng Xu;Gauri Joshi

  • Peer-to-peer Federated Learning on Graphs.

    Anusha Lalitha;Osman Cihan Kilinc;Tara Javidi;Farinaz Koushanfar

  • Wiretap Channel With Secure Rate-Limited Feedback

    E. Ardestanizadeh;M. Franceschetti;T. Javidi;Young-Han Kim

  • Social Learning and Distributed Hypothesis Testing

    Anusha Lalitha;Tara Javidi;Anand D. Sarwate

  • Rapid, Large-Scale Wastewater Surveillance and Automated Reporting System Enable Early Detection of Nearly 85% of COVID-19 Cases on a University Campus.

    Smruthi Karthikeyan;Andrew Nguyen;Daniel McDonald;Yijian Zong

  • High-Throughput Wastewater SARS-CoV-2 Detection Enables Forecasting of Community Infection Dynamics in San Diego County

    Smruthi Karthikeyan;Nancy Ronquillo;Pedro Belda-Ferre;Destiny Alvarado

  • Adaptive opportunistic routing for wireless ad hoc networks

    Abhijeet A. Bhorkar;Mohammad Naghshvar;Tara Javidi;Bhaskar D. Rao

  • Adaptive Object Detection Using Adjacency and Zoom Prediction

    Yongxi Lu;Tara Javidi;Svetlana Lazebnik

  • Integration of communication and control using discrete time Kuramoto models for multivehicle coordination over broadcast networks

    D.J. Klein;P. Lee;K.A. Morgansen;T. Javidi

  • Social learning and distributed hypothesis testing

    Anusha Lalitha;Anand D. Sarwate;Tara Javidi

  • Optimality of Myopic Sensing in Multi-Channel Opportunistic Access

    T. Javidi;B. Krishnamachari;Qing Zhao;Mingyan Liu

  • Extrinsic Jensen–Shannon Divergence: Applications to Variable-Length Coding

    Mohammad Naghshvar;Tara Javidi;Michele Wigger

  • High throughput wastewater SARS-CoV-2 detection enables forecasting of community infection dynamics in San Diego county

    Smruthi Karthikeyan;Nancy Ronquillo;Pedro Belda-Ferre;Destiny Alvarado

Frequent Co-Authors

Farinaz Koushanfar
Farinaz Koushanfar University of California, San Diego
Kamalika Chaudhuri
Kamalika Chaudhuri University of California, San Diego
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
Mohammad Ghavamzadeh
Mohammad Ghavamzadeh Amazon (United States)
Massimo Franceschetti
Massimo Franceschetti University of California, San Diego
Bhaskar Krishnamachari
Bhaskar Krishnamachari University of Southern California
Young-Han Kim
Young-Han Kim University of California, San Diego
Anna Scaglione
Anna Scaglione Cornell University
Qing Zhao
Qing Zhao Cornell University
Mingyan Liu
Mingyan Liu University of Michigan–Ann Arbor

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