Collaborative Research: CPS: Small: Neuro-Symbolic Bridge: From Perception to Estimation & Control
Ivan Ruchkin
Lead PI:
Ivan Ruchkin
Abstract

Modern cyber-physical systems (CPS) are increasingly neuro-symbolic. A typical CPS control pipeline consists of 1) neural networks (NNs), used to process raw high-dimensional data, such as camera images, and 2) downstream symbolic components, such as state estimation and control, that take the NNs' output in order to close the loop. However, there is a fundamental mismatch between the uncertainty on the NN outputs and the assumptions of the downstream components.

Performance Period: 06/15/2024 - 05/31/2027
Award Number: 2403616
Collaborative Research: CPS: Medium: AI-driven Cyber-Physical Heterogeneous Systems for Precision Poultry Farming
Joshua Peschel
Lead PI:
Joshua Peschel
Award Number: 2350503
Collaborative Research: CPS: Medium: AI-driven Cyber-Physical Heterogeneous Systems for Precision Poultry Farming
Award Number: 2350502
Collaborative Research: CPS: Medium: EbeeVet: An Electronic Bee-Veterinarian Framework to Secure Honey Bees
Award Number: 2414521
Collaborative Research: CPS: Medium: EbeeVet: An Electronic Bee-Veterinarian Framework to Secure Honey Bees
Lead PI:
Hyoseung Kim
Award Number: 2414520
Collaborative Research: CPS: Medium: Controlled Wastewater-Hydroponic Systems for Enhanced Nutrient and Water Efficiency via Coupled Real-Time Sensing and Data-Driven Technologies
Award Number: 2413709
Collaborative Research: CPS: Medium: Controlled Wastewater-Hydroponic Systems for Enhanced Nutrient and Water Efficiency via Coupled Real-Time Sensing and Data-Driven Technologies
zhaohui tong
Lead PI:
zhaohui tong
zhaohui tong
Dr. Zhaohui Tong is currently an associate professor in the School of Chemical and Biomolecular Engineering at the Georgia Institute of Technology. She received a B.S. degree in Chemical Engineering from Changsha University of Science and Technology in China. She earned her first M.S. degree in Chemical Engineering, with a concentration in biopolymer synthesis at Tianjin University of Science and Technology in China. Under the guidance of Dr. Yulin Deng, she earned her Ph. D. and second M.S. degree in Chemical Engineering with a concentration in organic-inorganic nanocomposite synthesis, from the Georgia Institute of Technology in 2007. She had worked as a consulting engineer in the Energy and Chemical Division of Ch2mHill Engineering Ltd. for two years. In 2010 she joined the Agricultural and Biological Engineering Department at the University of Florida as an Assistant Professor in the Biological Engineering program and was promoted the associate professor in 2017. Tong’s research interests include the conversion of renewable resources to bioproducts (biochemicals, biomaterials, and biofuels), bioprocessing, sustainable process control, and modeling.
Award Number: 2413708
CPS: Medium: Integrating sensors, controls, and ecotoxicology with decoupled aquaponics using brackish groundwater and desalination concentrate for sustainable food production
Lead PI:
Miguel Acevedo
Award Number: 2225976
Collaborative Research: CPS: Frontier: CHORUS: Resilient Distributed CPS through Rational and Dynamic Decision-Making Among Multiple Stakeholders
Lead PI:
Saman Zonouz
Abstract
Cyber-Physical Systems (CPS) are typically composed of interconnected hardware and software components, which individually may not be inherently highly reliable or secure. However, several CPS applications demand a high degree of safety, security, and reliability. Thus, the fundamental problem is constructing highly dependable CPS applications from building blocks that are, in themselves, not inherently reliable. There has been enormous progress made in understanding and patching various classes of vulnerabilities in large-scale distributed CPS.
Performance Period: 06/15/2024 - 05/31/2029
Award Number: 2333488
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