Manuel Rodríguez Valido Data-verified

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

Teacher/ Researcher

Last publication 2025 Last refreshed 2026-04-11

faculty

10 h-index 68 pubs 292 cited

Biography and Research Information

OverviewAI-generated summary

Manuel Rodríguez Valido's research focuses on the application of advanced technologies for environmental monitoring and specialized observational instruments. His work includes the development of AI-driven camera systems for estimating vehicle pollution and fuel consumption, as demonstrated in his 2022 publication. He has also investigated the use of satellite data, such as Sentinel-5P TROPOMI and AIS marine traffic data, to monitor anthropogenic activity and maritime transport emissions, as detailed in a 2023 study.

Rodríguez Valido is also involved in the design and calibration of instruments for scientific observation. This includes work on cameras tailored for solar observations, such as the SPGCam, and the enhancement of image sensor calibration for instruments like the TuMag camera. His research extends to signal processing and algorithmic implementation, including FPGA implementation for image ordering and packing algorithms. Furthermore, his work encompasses the development of automated systems for analysis, such as a software application for detecting and analyzing biomass in underwater videos and an automated chick sexing system utilizing facial image analysis.

His scholarship metrics include an h-index of 10 and 68 total publications, with 284 total citations. He has received federal funding, serving as Co-PI on a $75,000 NSF grant for the "CIVIC-PG Track B: Mobility and Aging in Collaboration (MAGIC): A Transportation Platform for Older Adults" project. Key collaborators at the University of Arkansas at Fayetteville include Thinh Phan and Michael T. Kidd, with whom he has co-authored multiple publications.

Metrics

  • h-index: 10
  • Publications: 68
  • Citations: 292

Selected Publications

  • Ventvision: An Automated Vent Chick Sexing Identification System with Computer Vision (2025)
  • Facial Chick Sexing: An Automated Chick Sexing System from Chick Facial Image (2025)
    1 citation DOI OpenAlex

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Federal Grants 1 $75,000 total

NSF Co-PI Oct 2024 - Mar 2025

CIVIC-PG Track B: Mobility and Aging in Collaboration (MAGIC): A Transportation Platform for Older Adults

S&CC: Smart & Connected Commun, Special Initiatives $75,000

Collaboration Network

82 Collaborators 21 Institutions 9 Countries

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