
Tarek Zohdi
Professor of Mechanical Engineering, UC Berkeley
Co-PI, Co-Lead of Food Production and Distribution Cluster, Co-Lead of Engagement
Tarek is a Professor of Mechanical Engineering and an Associate Dean for Associate Dean for Research at UC Berkeley College of Engineering. He is the Chair of the UCB Computational & Data Science & Engineering Program. Tarek is also the Co-PI, Co-Lead of Food Production and Distribution Cluster, and Co-Lead of Engagement for AIFS, the USDA-NIFA/NSF Artificial Intelligence Institute for Next Generation Food Systems. In Tarek's Lab, Multiphysics Simulation and Optimization Lab (MSOL), he specializes in multiphysical modeling and simulation of cutting edge industrial processes spanning from fields of manufacturing, autonomous vehicles, lidar, material design, and many more. These simulations are utilized for parameter optimization using a combination of several machine learning processes such as genetic algorithms and neural networks.
Project Involvement

Targeted AI Enhanced Farmland Nutrient and Water Management and Delivery: Modeling & Simulation (Part A)

Targeted AI Enhanced Farmland Nutrient and Water Management and Delivery: Sensing & Hardware (Part B)

AI-Enabled Models for Food Digestion and Nutrient Delivery
AIFS Publications
- Journal Article ⏐ Computers and Electronics in Agriculture 2022Journal Article ⏐ Comput. Electron. Agric. 2022
Special Report: AI Institute for Next Generation Food Systems (AIFS)
Tagkopoulos, Ilias,Steve Brown,Xin Liu,Qing Zhao,Tarek I Zohdi,Mason Earles,Nitin Nitin,Daniel Runcie,Danielle G Lemay,Aaron Smith,Pamela Ronald,Hao Feng,and Gabriel YoutseyDOI: 10.1016/j.compag.2022.106819 - 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 ⏐ 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 ⏐ 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 ⏐ 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 ⏐ 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 - 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 ⏐ 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 ⏐ Computer Methods in Applied Mechanics and Engineering 2023Journal Article ⏐ Comput. Methods Appl. Mech. Eng. 2023
A Machine-learning Digital-twin for Rapid Large-scale Solar-thermal Energy System Design
DOI: 10.1016/j.cma.2023.115991 - 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 2023Journal Article ⏐ Comput. Mech. 2023
A Digital-Twin and Rapid Optimization Framework for Optical Design of Indoor Farming Systems
DOI: 10.1007/s00466-023-02421-9 - Journal Article ⏐ Computational Mechanics 2022Journal Article ⏐ Comput. Mech. 2022
An Adaptive Digital Framework for Energy Management of Complex Multi-device Systems
- Journal Article ⏐ Archives of Computational Methods in Engineering 2024Journal Article ⏐ Arch. Comput. Methods Eng. 2024
A Computational Framework for Precise Aerial Agricultural Spray Delivery Processes
DOI: https://doi.org/10.1007/s11831-024-10106-6