Siavash Mahmoudi Data-verified

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

Researcher

Last publication 2026 Last refreshed 2026-05-16

faculty

Biological and Agricultural Engineering

3 h-index 16 pubs 44 cited

Biography and Research Information

OverviewAI-generated summary

Siavash Mahmoudi's research focuses on the application of advanced computational and robotic technologies to address challenges in agricultural processing and food safety. His recent work investigates the use of imitation learning and neural network architectures for tasks such as classifying and assessing the hardness of chicken breast tissue, and for developing cost-effective laser scanning systems for instance segmentation in poultry processing. Mahmoudi also studies robotic swabbing systems for monitoring the hygiene of food contact surfaces and explores data-driven control methods for deformable tool manipulation in environmental swabbing applications. His research extends to the development of portable biosensors for rapid, label-free detection of bacteria like E. coli. Mahmoudi has published 14 papers, with 37 citations, and holds an h-index of 3. He collaborates with researchers from the University of Arkansas at Fayetteville and the Arkansas Agricultural Experiment Station.

Metrics

  • h-index: 3
  • Publications: 16
  • Citations: 44

Selected Publications

  • Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat (2026)
  • Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection (2026)
  • A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing (2026)
  • ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
  • A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing (2026)
  • ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
  • Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces (2025)
    2 citations DOI OpenAlex
  • Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing (2025)
    2 citations DOI OpenAlex
  • Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression (2024)
    11 citations DOI OpenAlex
  • Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis (2024)
    23 citations DOI OpenAlex

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Collaboration Network

26 Collaborators 4 Institutions 1 Country

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