Minh Quan Tran Source Confirmed

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

Postdoc

University of Arkansas at Fayetteville

faculty

11 h-index 69 pubs 1,129 cited

Research Areas

Advanced Neural Network Applications Robotics and Sensor-Based Localization AI in cancer detection Medical Imaging Techniques and Applications Livestock and Poultry Management Astro and Planetary Science Semiconductor materials and devices Meta-analysis and systematic reviews

Links

ORCID Research Group

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OverviewAI-generated summary

Minh Quan Tran's research focuses on the development and application of advanced computational techniques, particularly within the domains of artificial intelligence and machine learning. His work includes the creation of transformer-based frameworks for complex tasks such as simultaneous localization, segmentation, and classification, as demonstrated in his research on poultry carcass defect analysis. Tran has also investigated deep federated learning for autonomous driving systems and explored the use of adversarial learning for light-weight deformable registration in medical imaging.

His publications also extend to the engineering and design of specialized hardware for space missions. This includes contributions to the design, fabrication, testing, and operation of camera systems for asteroid reconnaissance, such as the Didymos Reconnaissance and Asteroid Camera for OpNav (DRACO). He has also been involved in the design and verification of single-board computer FPGAs for space applications, including the DART mission's image processing pipeline. Tran holds a h-index of 7 with 334 citations across 22 publications.

Metrics

  • h-index: 11
  • Publications: 69
  • Citations: 1,129

Selected Publications

  • Land8Fire: A Complete Study on Wildfire Segmentation Through Comprehensive Review, Human-Annotated Multispectral Dataset, and Extensive Benchmarking (2025) DOI
  • S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling (2025) DOI
  • AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation (2024) DOI
  • CarcassFormer: an end-to-end transformer-based framework for simultaneous localization, segmentation and classification of poultry carcass defect (2024) DOI
  • CapsNet for medical image segmentation (2024) DOI
  • DNA: Deformable Neural Articulations Network for Template-free Dynamic 3D Human Reconstruction from Monocular RGB-D Video (2023) DOI

Collaborators

Researchers in the database who share publications

Michael T. Kidd University of Arkansas at Fayetteville 2 shared publications Haitao Liao University of Arkansas at Fayetteville 1 shared publication Roy McCann University of Arkansas at Fayetteville 1 shared publication

Similar Researchers

Based on overlapping research topics

Tran-Dac-Thinh Phan University of Arkansas at Fayetteville
Advanced Neural Network Applications AI in cancer detection Medical Imaging Techniques and Applications
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Zhong Su University of Arkansas for Medical Sciences
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Rajanand Rajagopalan University of Arkansas at Fayetteville
Advanced Neural Network Applications AI in cancer detection Medical Imaging Techniques and Applications
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Shaozheng Jin University of Arkansas at Fayetteville
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Taisei Hanyu University of Arkansas at Fayetteville
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Good match 4 shared topics
Hanguen Kim Hendrix College
Advanced Neural Network Applications Robotics and Sensor-Based Localization AI in cancer detection
Good match 4 shared topics