← Leaderboards
Peng Li
Texas A&M Engineering Experiment Station
$6,257,822
Attributed
$7,574,287
Total exposure
18
Grants
16
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 $1.5M · FY2008–25$2M$1.5M$1M$500K$0
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'25
Funding mix
By agency
NSF$7,574,287 · 18
By mechanism
—$7,574,287 · 18
Top collaborators
- Edgar Sanchez-Sinencio2 shared
- Bani K Mallick1 shared
- Garng M Huang1 shared
- Wencan Jin1 shared
- Yu Ding1 shared
Grant awards (18)
CAREER: Compact digital biosensing system enabled by localized acoustic streaming$332,826
· FY2025 · ENG · contact PI
SHF: Small: Semi-supervised Learning for Design and Quality Assurance of Integrated Circuits$599,997
· FY2024 · CSE · contact PI
SHF: Small: Methods and Architectures for Optimization and Hardware Acceleration of Spiking Neural Networks$599,304
· FY2023 · CSE · contact PI
CAREER: Compact digital biosensing system enabled by localized acoustic streaming$500,000
· FY2022 · ENG · contact PI
Probing novel phases of matter in van der Waals magnet Fe5-xGeTe2$523,200
· FY2021 · MPS
Collaborative Research: SHF: Medium: Data-Efficient Uncovering of Rare Design Failures for Reliability-Critical Circuits$632,900
· FY2020 · CSE · contact PI
FET: Small: Heterogeneous Learning Architectures and Training Algorithms for Hardware Accelerated Deep Spiking Neural Computation$499,337
· FY2019 · CSE · contact PI
FET: Small: Heterogeneous Learning Architectures and Training Algorithms for Hardware Accelerated Deep Spiking Neural Computation$499,337
· FY2019 · CSE · contact PI
Enabling Adaptive Voltage Regulation: Control, Machine Learning, and Circuit Design$304,174
· FY2019 · ENG · contact PI
E2CDA: Type II: Self-Adaptive Reservoir Computing with Spiking Neurons: Learning Algorithms and Processor Architectures$215,672
· FY2019 · CSE · contact PI
Enabling Adaptive Voltage Regulation: Control, Machine Learning, and Circuit Design$360,000
· FY2018 · ENG · contact PI
BIGDATA: IA: Collaborative Research: From Bytes to Watts - A Data Science Solution to Improve Wind Energy Reliability and Operation$749,799
· FY2017 · CSE
I-Corps: Enabling Electronic Design using Data Intelligence$50,000
· FY2017 · TIP · contact PI
E2CDA: Type II: Self-Adaptive Reservoir Computing with Spiking Neurons: Learning Algorithms and Processor Architectures$332,742
· FY2016 · CSE · contact PI
Taming the Stability Challenge of Analog and Mixed-Signal Systems: Theory, Analysis and Design$399,999
· FY2014 · ENG · contact PI
SHF: Small: Collaborative Research: Integrated Verification, Built-in Self-Test and Tuning for Digitally-Intensive Analog Systems$225,000
· FY2011 · CSE · contact PI
SHF: Small: System-Theoretic Analysis and Design for Dynamic Stability of Memory Devices in Nanoscale CMOS and Beyond$350,000
· FY2009 · CSE · contact PI
CAREER: Parallel CAD Algorithms on Emerging Multi-Core Platforms$400,000
· FY2008 · CSE · contact PI