Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-09
M
Research Areas
Biography and Research Information
OverviewAI-generated summary
Manuel Serna-Aguilera's research focuses on the application of machine learning and deep learning techniques to address complex problems in areas such as autism detection, neurodivergent classification, and public health crises. He has developed novel datasets and methodologies, including hypergraph benchmarks and retrieval-augmented generation models, to advance understanding in these fields. His work has explored video-based detection of autism, leveraging extra-stimulatory behaviors for neurodivergent classification, and multimodal hypergraph retrieval for analyzing public health issues like the nicotine crisis. Serna-Aguilera also investigates continual learning approaches for vision-brain understanding and has contributed to genomics and phenomics research through the development of biological graph and hypergraph benchmarks for Arabidopsis thaliana. His recent publications highlight his engagement with advanced computational methods and their application to biological and health-related challenges.
Metrics
- h-index: 1
- Publications: 7
- Citations: 17
Selected Publications
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PRISM-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Tobacco Product and Legislative Policy Reasoning (2026)
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GRAFT: Biological Graph and Hypergraph Benchmarks for Linked Gene Expression and Phenotypic Trait Prediction in Arabidopsis thaliana (2026)arXiv (Cornell University) OpenAlex
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NICO-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Understanding the Nicotine Public Health Crisis (2026)arXiv (Cornell University) OpenAlex
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COBRA: A Continual Learning Approach to Vision-Brain Understanding (2026)
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Video-Based Autism Detection with Deep Learning (2024)
Collaboration Network
Top Collaborators
Ky Luu
University of Arkansas System
3 shared publications
In database
- COBRA: A Continual Learning Approach to Vision-Brain Understanding
- NICO-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Understanding the Nicotine Public Health Crisis
- GRAFT: Biological Graph and Hypergraph Benchmarks for Linked Gene Expression and Phenotypic Trait Prediction in Arabidopsis thaliana
Xuan-Bac Nguyen
University of Arkansas at Fayetteville
2 shared publications
In database
- Video-Based Autism Detection with Deep Learning
- COBRA: A Continual Learning Approach to Vision-Brain Understanding
Asmita Singh
University of Arkansas at Fayetteville
1 shared publication
In database
- Video-Based Autism Detection with Deep Learning
Lydia Rockers
University of Arkansas at Fayetteville
1 shared publication
In database
- Video-Based Autism Detection with Deep Learning
Se‐Woong Park
The University of Texas at San Antonio (US)
1 shared publication
- Video-Based Autism Detection with Deep Learning
Leslie Neely
The University of Texas at San Antonio (US)
1 shared publication
- Video-Based Autism Detection with Deep Learning
Han‐Seok Seo
University of Arkansas at Fayetteville
1 shared publication
In database
- Video-Based Autism Detection with Deep Learning
Khoa Luu
University of Arkansas at Fayetteville
1 shared publication
In database
- Video-Based Autism Detection with Deep Learning
Arabinda K. Choudhary
SUNY Upstate Medical University (US)
1 shared publication
- COBRA: A Continual Learning Approach to Vision-Brain Understanding
Pawan Sinha
Institute of Cognitive and Brain Sciences (US)
1 shared publication
- COBRA: A Continual Learning Approach to Vision-Brain Understanding
Xin Li
University at Albany, State University of New York (US)
1 shared publication
- COBRA: A Continual Learning Approach to Vision-Brain Understanding
Raegan Anderes
University of Arkansas at Fayetteville
1 shared publication
In database
- NICO-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Understanding the Nicotine Public Health Crisis
Page D. Dobbs
University of Arkansas for Medical Sciences
1 shared publication
In database
- NICO-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Understanding the Nicotine Public Health Crisis
Vanshika Jindal
University of Arkansas System (US)
1 shared publication
- GRAFT: Biological Graph and Hypergraph Benchmarks for Linked Gene Expression and Phenotypic Trait Prediction in Arabidopsis thaliana
Fiona L. Goggin
University of Arkansas System
1 shared publication
In database
- GRAFT: Biological Graph and Hypergraph Benchmarks for Linked Gene Expression and Phenotypic Trait Prediction in Arabidopsis thaliana
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