Year 2 Research Project
Digital Twin and Machine-Learning for Optimized Pathogen Contact-Tracing, Sanitation and Decontamination
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Description
SIGNIFICANCE
This proposal directly addresses the key goals of AIFS in particular for Food Processing and Distribution, Agricultural Production and Use-inspired and Foundational AI.
GOALS
The overall goal is to develop Digital Twin and Machine Learning algorithms for addressing key food safety challenges associated with introduction and spread of pathogens in food facilities and enable guided decontamination for food contact surfaces to reduce risk of cross-contamination.
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Photos
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Team
Tarek Zohdi
Principal Investigator
Nitin Nitin
Co Principal Investigator
Rebecca Abergel
Collaborator
Ana Arias
Collaborator
Renata Ivanek
Collaborator
Xin Liu
Collaborator
Simo Mäkiharju
Collaborator
Ilias Tagkopoulos
Collaborator
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Publications
Journal Article ⏐ Smart Agricultural Technology 2023Journal Article ⏐ Smart Agric. Technol. 2023
Crop-driven Optimization of Agrivoltaics Using a Digital-replica Framework
DOI: 10.1016/j.atech.2022.100168
Journal Article ⏐ Computers and Electronics in Agriculture 2023Journal Article ⏐ Comput. Electron. Agric. 2023
Placement and Drone Flight Path Mapping of Agricultural Soil Sensors Using Machine Learning
DOI: 10.1016/j.compag.2022.107591
Journal Article ⏐ Computational Mechanics 2022Journal Article ⏐ Comput. Mech. 2022
A Note on Rapid Genetic Calibration of Artificial Neural Networks
DOI: 10.1007/s00466-022-02216-4
Journal Article ⏐ Proceedings of the Royal Society A 2022Journal Article ⏐ Proc. R. Soc. A 2022
A Digital-twin Framework for Genomic-based Optimization of an Agrophotovoltaic Greenhouse System
DOI: 10.1098/rspa.2022.0414
Journal Article ⏐ Computational Mechanics 2022Journal Article ⏐ Comput. Mech. 2022
An Adaptive Digital Framework for Energy Management of Complex Multi-device Systems
Journal Article ⏐ Computer Methods in Applied Mechanics and Engineering 2022Journal Article ⏐ Comput. Methods Appl. Mech. Eng. 2022
Machine-learning and Digital-twins for Rapid Evaluation and Design of Injected Vaccine Immune-system Responses
DOI: 10.1016/j.cma.2022.115315
Journal Article ⏐ Computational Mechanics 2022Journal Article ⏐ Comput. Mech. 2022
A Digital-twin and Machine-learning Framework for Precise Heat and Energy Management of Data-centers
DOI: 10.1007/s00466-022-02152-3
Journal Article ⏐ Computational Mechanics 2021Journal Article ⏐ Comput. Mech. 2021
A Digital-twin and Machine-learning Framework for the Design of Multiobjective Agrophotovoltaic Solar Farms
DOI: 10.1007/s00466-021-02035-z
Journal Article ⏐ Archives of Computational Methods in Engineering 2021Journal Article ⏐ Arch. Comput. Methods Eng. 2021
A Digital-Twin and Machine-Learning Framework for Ventilation System Optimization for Capturing Infectious Disease Respiratory Emissions
DOI: 10.1007/s11831-021-09609-3