← Leaderboards
Jingtong Hu
University Of Pittsburgh At Pittsburgh
$1,736,264
Attributed
$1,736,264
Total exposure
1
Grants
1
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants. They are the sole PI on all grants (the two match).
Funding over time
peak $479.8K · FY2022–25$500K$375K$250K$125K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$1,736,264 · 1
By mechanism
R01$1,736,264 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Pittsburgh At Pittsburgh
Same institution · by research overlap
- Steven E Reis$322,737,957
- Jishnu Das$5,608,209
- Harinder Singh$15,916,174
- Richard K Zimmerman$30,590,376
- John F Alcorn$9,508,312
Others in their field
Other Rising Stars on “Ensure”
- Mari Ostendorf · University Of Washington$51,931,230
- Richard Smith · Medical Device Innovation Consortium$41,401,350
- Jeffrey Leintz · National Opinion Research Center$40,628,545
- Joan Grand · Mitre Corporation$32,826,287
- Julia Louise Moore Vogel · Scripps Research Institute, The$32,252,685
- Gary Mays · Axle Informatics, Llc$30,746,223
Research focus
EnsureExhibitsEmotionsDermatologyDevicesDiagnosisArtificial IntelligenceDetectionAsianArtificial Intelligence AlgorithmArchitectureCase StudyCellular PhoneCodeCommunitiesComputer SoftwareAlgorithmsDatabasesData CollectionData SetAwarenessData SourcesDeep Learning ModelFace
Grant awards (4)
Achieve Fairness in AI-Assisted Mobile Healthcare Apps through Unsupervised Federated Learning$421,644
R01 · FY2025 · EB · contact PI
Achieve Fairness in AI-Assisted Mobile Healthcare Apps through Unsupervised Federated Learning$413,212
R01 · FY2024 · EB · contact PI
Achieve Fairness in AI-Assisted Mobile Healthcare Apps through Unsupervised Federated Learning$421,644
R01 · FY2023 · EB · contact PI
Achieve Fairness in AI-Assisted Mobile Healthcare Apps through Unsupervised Federated Learning$479,764
R01 · FY2022 · EB · contact PI