Pouya Sohrabipour
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Biological and Agricultural Engineering
Research Areas
Biography and Research Information
OverviewAI-generated summary
Pouya Sohrabipour's research focuses on the application of machine learning and advanced sensing technologies to agricultural and food processing challenges. His recent work includes developing cost-effective active laser scanning systems for depth-aware instance segmentation in poultry processing and evaluating robotic swabbing for monitoring food contact surface hygiene. He has also investigated the use of neural networks for classifying chicken woody breast and assessing its hardness, alongside exploring low-cost multispectral sensing for woody breast severity classification. Sohrabipour's publications also cover synthetic data augmentation for improving chicken carcass instance segmentation and the development of uncertainty-guided residual search for real-time stereo matching. He has collaborated with numerous researchers at the University of Arkansas at Fayetteville, including Chaitanya Pallerla, Siavash Mahmoudi, Amirreza Davar, and Philip G. Crandall.
Metrics
- h-index: 3
- Publications: 9
- Citations: 52
Selected Publications
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Assessing the feasibility of low-cost multispectral sensing for woody breast severity classification (2026)
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Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification (2026)
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ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
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ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
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Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation (2025)
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Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces (2025)
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Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing (2025)
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Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing (2025)
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Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression (2024)
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Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis (2024)
Collaboration Network
Top Collaborators
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
Showing 5 of 9 shared publications
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
Showing 5 of 8 shared publications
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
Showing 5 of 7 shared publications
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
Showing 5 of 7 shared publications
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
Showing 5 of 7 shared publications
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Assessing the feasibility of low-cost multispectral sensing for woody breast severity classification
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
- Assessing the feasibility of low-cost multispectral sensing for woody breast severity classification
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
- Assessing the feasibility of low-cost multispectral sensing for woody breast severity classification
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
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