← Leaderboards
Dileep Kalathil
Texas A&M Engineering Experiment Station
$1,632,932
Attributed
$2,905,397
Total exposure
6
Grants
2
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 $934.6K · FY2018–24$1M$750K$500K$250K$0
'18
'19
'20
'21
'22
'23
'24
Funding mix
By agency
NSF$2,905,397 · 6
By mechanism
—$2,905,397 · 6
Top collaborators
- Srinivas Shakkottai2 shared
- Jiang Hu1 shared
- Le Xie1 shared
- Sunil P Khatri1 shared
Grant awards (6)
FuSe2 Topic 1: Edge Reinforcement Learning with Algorithm, Architecture and Circuit Co-Design$934,598
· FY2024 · CSE
Collaborative Research: NeTS: Medium: EdgeRIC: Empowering Real-time Intelligent Control and Optimization for NextG Cellular Radio Access Networks$700,000
· FY2023 · CSE
CAREER: Towards a Principled Framework for Resilient, Data Efficient and Scalable Reinforcement Learning for Control$500,000
· FY2021 · ENG · contact PI
Collaborative Research: CNS Core: Medium: Learning to Cache and Caching to Learn in High Performance Caching Systems$350,000
· FY2020 · CSE
CRII: CPS: Towards a Model-Based Reinforcement Learning Approach for Safe Operation of Distributed Energy Systems$172,000
· FY2019 · CSE · contact PI
EAGER: Real-Time: Precision Reserves from Flexible Loads: An Online Reinforcement Learning Approach$248,799
· FY2018 · ENG