Siavash Mahmoudi Source Confirmed

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

Researcher

University of Arkansas at Fayetteville

faculty

3 h-index 12 pubs 33 cited

Research Areas

Robotics and Sensor-Based Localization Advanced Neural Network Applications Livestock and Poultry Management Imitation Learning in Robotics Advanced biosensing and bioanalysis techniques Food composition and properties Meat and Animal Product Quality

Links

Lab Website

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OverviewAI-generated summary

Siavash Mahmoudi's research focuses on the application of artificial intelligence and robotics, particularly in agricultural and food processing contexts. His recent work includes developing and evaluating imitation learning-based control systems for robotic grippers designed to handle delicate bio-products, such as in poultry processing. He has investigated the use of neural network architectures for classifying conditions like woody breast in chickens and has explored cost-effective laser scanning systems for depth-aware instance segmentation in food processing environments. Mahmoudi has also studied data-driven methods for contact-aware control of deformable tools, with applications in environmental swabbing for hygiene monitoring. His research extends to the development of portable biosensing systems for rapid pathogen detection, such as E. coli O157:H7. Mahmoudi collaborates with researchers including Chaitanya Pallerla and Philip G. Crandall at the University of Arkansas at Fayetteville.

Metrics

  • h-index: 3
  • Publications: 12
  • Citations: 33

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
  • 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
  • Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis (2024) DOI

Collaborators

Researchers in the database who share publications

Chaitanya Pallerla University of Arkansas at Fayetteville 9 shared publications Philip G. Crandall University of Arkansas at Fayetteville 5 shared publications Dongyi Wang University of Arkansas at Fayetteville 3 shared publications Wan Shou University of Arkansas at Fayetteville 3 shared publications C.M. Owens University of Arkansas at Fayetteville 2 shared publications Terry Howell University of Arkansas at Fayetteville 2 shared publications Jeyamkondan Subbiah University of Arkansas at Fayetteville 2 shared publications

Similar Researchers

Based on overlapping research topics

Chaitanya Pallerla University of Arkansas at Fayetteville
Robotics and Sensor-Based Localization Advanced Neural Network Applications Food composition and properties
Good match 4 shared topics
MH Rahman University of Arkansas at Fayetteville
Advanced Neural Network Applications Food composition and properties Meat and Animal Product Quality
Good match 3 shared topics
Ashleigh Mueller University of Arkansas at Fayetteville
Livestock and Poultry Management Food composition and properties Meat and Animal Product Quality
Good match 3 shared topics
B. Booher University of Arkansas at Fayetteville
Livestock and Poultry Management Food composition and properties Meat and Animal Product Quality
Good match 3 shared topics
Terry Howell University of Arkansas at Fayetteville
Advanced Neural Network Applications Advanced biosensing and bioanalysis techniques Food composition and properties
Related 3 shared topics
Minh Quan Tran University of Arkansas at Fayetteville
Robotics and Sensor-Based Localization Advanced Neural Network Applications Livestock and Poultry Management
Related 3 shared topics