Chaitanya Pallerla Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

faculty

2 h-index 13 pubs 12 cited

Research Areas

Advanced Neural Network Applications Robotics and Sensor-Based Localization Meat and Animal Product Quality Food Security and Health in Diverse Populations AI in cancer detection Computer Graphics and Visualization Techniques Food composition and properties

Links

ORCID

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OverviewAI-generated summary

Chaitanya Pallerla's research focuses on the application of advanced computational techniques, particularly deep learning and artificial intelligence, to address challenges in food processing and safety. His work includes developing novel neural network architectures for tasks such as classifying meat properties and performing instance segmentation on food products. Pallerla investigates the use of cost-effective active laser scanning systems and synthetic data augmentation to improve the accuracy and efficiency of automated inspection processes in poultry processing.

Further research areas involve evaluating robotic systems for hygiene monitoring in food production environments and developing efficient auto-labeling methods for large-scale datasets. He also explores imitation learning for robotic manipulation of delicate bio-products and utilizes thermal imaging combined with vision and simulation approaches for contaminant detection. Pallerla collaborates with researchers at the University of Arkansas at Fayetteville, including Siavash Mahmoudi and Philip G. Crandall, on these initiatives.

Metrics

  • h-index: 2
  • Publications: 13
  • Citations: 12

Selected Publications

  • ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026) DOI
  • ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026) DOI
  • Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation (2025) DOI
  • Automated Detection of Kinky Back in Broiler Chickens Using Optimized Deep Learning Techniques (2025) DOI
  • Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces (2025) DOI
  • Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing (2025) DOI
  • Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression (2024) DOI

Collaborators

Researchers in the database who share publications

Siavash Mahmoudi University of Arkansas at Fayetteville 9 shared publications Philip G. Crandall University of Arkansas at Fayetteville 7 shared publications Wan Shou University of Arkansas at Fayetteville 5 shared publications C.M. Owens University of Arkansas at Fayetteville 3 shared publications Jeyamkondan Subbiah University of Arkansas at Fayetteville 3 shared publications Shawna Weimer University of Arkansas at Fayetteville 2 shared publications Dongyi Wang University of Arkansas at Fayetteville 2 shared publications Terry Howell University of Arkansas at Fayetteville 2 shared publications

Similar Researchers

Based on overlapping research topics

Ngan Le University of Arkansas at Fayetteville
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Zhong Su University of Arkansas for Medical Sciences
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Hanguen Kim Hendrix College
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Yu Sun University of Central Arkansas
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Siavash Mahmoudi University of Arkansas at Fayetteville
Advanced Neural Network Applications Robotics and Sensor-Based Localization Meat and Animal Product Quality
Good match 4 shared topics