Chaitanya Pallerla
Papers
2
Total Citations
4
H-Index
2
About
Chaitanya Pallerla is a rising researcher at the intersection of food safety, automation, and artificial intelligence. His work centers on developing intelligent sensing and robotic systems to enhance hygiene monitoring and operational efficiency in food processing environments. In his highly cited 2025 paper, “Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces,” Pallerla addresses a critical challenge in food safety: the inconsistency of manual swabbing. By integrating robotic precision with fluorescent sensing, he introduces a novel, reproducible method for detecting microbial and allergenic cross-contamination, offering a transformative approach to environmental monitoring. His second major contribution, “Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing,” tackles labor-intensive tasks in the poultry industry. Here, Pallerla combines affordable laser scanning with deep learning to enable precise, automated segmentation of objects, paving the way for safer, more efficient processing lines. With each paper already garnering early citations, his work signals a promising trajectory in applied AI and food engineering, demonstrating how cutting-edge technology can solve real-world industrial problems.
Research Focus
Key Achievements
Top Papers
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