Han‐Seok Seo Source Confirmed

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

High Impact

Full Professor

University of Arkansas at Fayetteville

faculty

40 h-index 188 pubs 5,312 cited

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Biography and Research Information

OverviewAI-generated summary

Han-Seok Seo is a researcher with a broad range of interests, including computer vision, artificial intelligence, and food science. His work in computer vision and AI has focused on developing advanced methods for recognizing human actions and expressions, utilizing techniques such as Transformer architectures and Graph Convolutional Neural Networks. Publications in this area include studies on "Micron-BERT: BERT-Based Facial Micro-Expression Recognition" and "DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition." He also investigates the application of AI for analyzing movement patterns related to neurological and musculoskeletal disorders.

In parallel, Seo's research extends to food science, exploring the impact of various components on food properties and consumer perception. This includes examining "Dry Pet Food Flavor Enhancers and Their Impact on Palatability" and the "Effects of polyphenol-rich grape seed and green tea extracts on the physicochemical properties of 3D-printed edible soy protein films." His work also touches on the sensory aspects of food, such as how "Cognitive styles influence eating environment-induced variations in consumer perception of food."

Seo holds a designation as a highly cited researcher, evidenced by his h-index of 40 and over 5,000 citations. He actively leads a research group and collaborates with several colleagues at the University of Arkansas at Fayetteville, including Khoa Luu, Asmita Singh, Thadeus L. Beekman, and Ragita C. Pramudya, with whom he has co-authored multiple publications.

Metrics

  • h-index: 40
  • Publications: 188
  • Citations: 5,312

Selected Publications

  • Descriptive Sensory Analysis of Gluten-Containing and Gluten-Free Chocolate Chip Cookies Available in the Marketplace (2025) DOI
  • Comparison Analyses of Consumer Acceptance, Evoked Emotions, and Purchase Intent Between Gluten‐Containing Versus Gluten‐Free Chocolate Chip Cookie Products (2025) DOI
  • Variations in Sensory and Emotional Responses to Gluten‐Containing and Gluten‐Free Cookie Products Under Blind and Labeled Conditions (2025) DOI
  • SoGAR: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition (2025) DOI
  • Measuring palatability of pet food products: Sensory components, evaluations, challenges, and opportunities (2024) DOI
  • “Spicy Touch”: Cross-modal associations between hand-feel touch and capsaicin-induced oral irritation (2024) DOI
  • Impacts of hearing loss on social dining: Perceptions and acceptance of food and eating environments, and engagements (2024) DOI
  • Is human perception reliable? Toward illumination robust food freshness prediction from food appearance — Taking lettuce freshness evaluation as an example (2024) DOI
  • Video-Based Autism Detection with Deep Learning (2024) DOI
  • Sustainability information, taste perception and willingness to pay: The case of bird-friendly coffee (2024) DOI
  • Analytic-holistic cognitive styles affect consumer responses to food and beverage samples during sensory evaluation (2023) DOI
  • Effects of polyphenol-rich grape seed and green tea extracts on the physicochemical properties of 3D-printed edible soy protein films (2023) DOI
  • Time-dependent variation in oral irritation subqualities of capsaicin solution: Using Time-Intensity-Rate-All-That-Apply (TI-RATA) and temporal Check-All-That-Apply (TCATA) methods (2023) DOI
  • Micron-BERT: BERT-Based Facial Micro-Expression Recognition (2023) DOI
  • SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition (2023) DOI

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