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Cong Liu
University Of Texas At Dallas
$3,143,494
Attributed
$3,343,494
Total exposure
11
Grants
11
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.
Funding over time
peak $1.3M · FY2014–24$2M$1.5M$1M$500K$0
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Funding mix
By agency
NSF$3,343,494 · 11
By mechanism
—$3,343,494 · 11
Top collaborators
- Yu Gao1 shared
Grant awards (11)
Collaborative Research: EAGER: CSR: Full-stack defense of vision-based autonomous driving systems$120,000
· FY2024 · CSE · contact PI
RUI: Relationship crafting after workplace ostracism in racial minority employees: The role of autonomic arousal, emotions, and cognitive attributions$400,000
· FY2023 · SBE · contact PI
Collaborative Research: CSR: Medium: MemDrive: Memory-Driven Full-Stack Collaboration for Autonomous Embedded Systems$333,000
· FY2023 · CSE · contact PI
CNS Core: Small: Towards Timing-Predictable Autonomy in DNN-driven Embedded Systems$484,041
· FY2022 · CSE · contact PI
CNS Core: Small: Towards Timing-Predictable Autonomy in DNN-driven Embedded Systems$484,041
· FY2022 · CSE · contact PI
CAREER: D3: Addressing Emerging Data-Induced Challenges in Embedded and Real-Time Systems$222,894
· FY2022 · CSE · contact PI
Collaborative Research: CPS: Medium: Timeliness vs. Trustworthiness: Balancing Predictability and Security in Time-Sensitive CPS Design.$157,081
· FY2022 · CSE · contact PI
Collaborative Research: CPS: Medium: Timeliness vs. Trustworthiness: Balancing Predictability and Security in Time-Sensitive CPS Design.$239,897
· FY2021 · CSE · contact PI
CAREER: D3: Addressing Emerging Data-Induced Challenges in Embedded and Real-Time Systems$538,366
· FY2018 · CSE · contact PI
CSR: Small: Predictable Real-Time Computing in GPU-enabled Systems$354,076
· FY2015 · CSE · contact PI
US-Singapore Workshop: Collaborative Research: Understand the World by Analyzing Many Video Streams$10,098
· FY2014 · O/D · contact PI