Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
Terry Howell
Researcher
Also affiliated: University of Nebraska–Lincoln (2020–2021); Harvard University (1979); Emory University (1973–1976); University of Arkansas System (2026)
Faculty Researcher
Biological and Agricultural Engineering
4 h-index
13 pubs
81 cited
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Terry Howell's research focuses on the detection and control of foodborne pathogens and microbial contamination. His work has investigated the antimicrobial efficacy of gaseous chlorine dioxide for inactivating Salmonella and Enterococcus faecium on dried basil leaves. Howell has also explored advanced biosensing technologies for rapid pathogen identification, including portable broadband dielectric impedance immunosensors for E. coli detection and palm-size wireless piezoelectric immune-biosensing systems for E. coli O157:H7. More recently, his research has incorporated deep learning for automated coherent-light diffraction systems to achieve high-speed and accurate strain-specific foodborne bacterial recognition. Howell collaborates with several faculty members at the University of Arkansas at Fayetteville, including Jeyamkondan Subbiah and Ziyu Liu.
Metrics
- h-index: 4
- Publications: 13
- Citations: 81
Selected Publications
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Dual-camera coherent-light diffraction biosensor for multipathogen screening and strain-level recognition of bacterial colonies (2026)
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Autonomous robotic-biosensing platform for real-time microbial surveillance in poultry processing facilities (2026)
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Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat (2026)
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Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection (2026)
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Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition (2025)
Collaboration Network
Top Collaborators
Jeyamkondan Subbiah
University of Arkansas at Fayetteville
2 shared publications
In database
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
Dongyi Wang
University of Arkansas at Fayetteville
2 shared publications
In database
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
Yang Tian
University of Arkansas at Fayetteville
1 shared publication
In database
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
Ziyu Liu
University of Arkansas at Fayetteville
1 shared publication
In database
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
Yinuo Huang
1 shared publication
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
Ramesh Bahadur Bist
University of Arkansas at Fayetteville
1 shared publication
In database
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
Yiting Xiao
University of Arkansas at Fayetteville (US)
1 shared publication
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
Samantha Marrianne Howe
1 shared publication
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
Tsung-Cheng Tsai
1 shared publication
In database
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
Michael L. Looper
1 shared publication
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
Yang Tian
University of Arkansas at Fayetteville
1 shared publication
In database
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
Yinuo Huang
University of Arkansas at Fayetteville
1 shared publication
In database
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
Ziyu Liu
University of Arkansas at Fayetteville
1 shared publication
In database
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
Chaitanya Pallerla
University of Arkansas at Fayetteville
1 shared publication
In database
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
Siavash Mahmoudi
University of Arkansas at Fayetteville
1 shared publication
In database
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
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