FNAI LAB
Food & Nutrition
Artificial Intelligence Laboratory
"Make Food Computable"
We explore
AI-based Health Care & Precision Nutrition
Computational Gastronomy & Cooking
LLM Applications & Recommendation Systems
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News
🎉 Congratulations to our student (Nilufar Khodzhaeva) on having her paper accepted for publication in Expert Systems with Applications (ESWA)! [Impact Factor (2025): 7.5, Top 10% (52/947, 5.5%) Journal in Computer Science Applications]
☃️ Dec. 2025: Five poster papers have been presented to Korea Software Congress 2023
Yejin Noh (B.S. Student)'s paper, 식음료 소비 패턴 기반 LLM 영양 섭취 경향 추론 강화를 통한 개인화 건강 증진 상품 추천
Hyeren You (B.S. Student)'s paper, 소매 정책 최적화를 위한 식품 관계 기반 RL 시뮬레이션 프레임워크
Jiwon Jang (B.S. Student)'s paper, 관광 리뷰 테마 기반 다중라벨 감성분석을 통한 무평점 장소의 평점·테마 점수 동시 예측 기법
🎉 Congratulations to our student (Jinkyung Choi) to be accepted to WSDM 2026 (The 19th ACM International Conference on Web Search and Data Mining, Top Conference in Data Mining).
🥳 Oct. 2025: Jinkyung Choi (Master Student)'s paper "Similarity-Guided Diffusion for Contrastive Sequential Recommendation" (Jinkyeong Choi, Yejin Noh, Donghyeon Park) is recently accepted in WSDM 2026. Jinkyuing will be presenting her work in Boise, Idaho, USA, February 22 – 26, 2026
🥳 Oct. 2025: Professor Donghyeon Park's paper "ArcDFI: Attention regularization guided by CYP450 interactions for predicting drug-food interactions" is recently published in PLOS Computational Biology (Volume: 21-10, Page(s): e1013055), DOI: 10.1371/journal.pcbi.1013055, October 15, 2025.
🥳 Sep. 2025: Professor Donghyeon Park's paper, "RecipeBuild: Learning to Build Recipe Ideas using Language model-based Recipe Contextual Modeling" is recently published in IEEE Access (Volume: 13, Page(s): 172051 - 172061), DOI: 10.1109/ACCESS.2025.3610410, 16 September 2025
🎉 Congratulations to Our Student for Winning an Outstanding Presentation Paper Award!
We are proud to announce that our student, Yejin Noh, together with Jinkyung Choi (second author) and Donghyeon Park (corresponding author) , received the Outstanding Presentation Paper Award at the 2025 Korea Computer Congress.
Their paper, “Sequential Recommendation via Diffusion Guided by Item Repurchase Cycles”, was selected as an Outstanding Presentation Paper in the Artificial Intelligence Applications track at the 2025 Korea Computer Congress.
🏞️ June. 2024: Five poster papers have been presented to Korea Computer Congress (KCC) 2024
Seulbin Je (Undergrad Student)'s paper, "식당리뷰의 현지성 라벨링 및 언어모델을 활용한 현지식당 분류"
Sunghyun Ryu (Undergrad Student)'s paper, "요리 분야에서의 정보 추출을 통한 QA 단어가 아닌 구문을 중심으로"
Yejin Noh (Undergrad Student)'s paper, "추천 시스템에서의 구매 주기 활용 방안 및 성능 비교 분석"
Taeho Kim (Undergrad Student)'s paper, "레시피 기반 음식 선호도를 고려한 레스토랑 추천 방법론"
Chanbeen Lee (Undergrad Student)'s paper, "협업 필터링 및 FastText 기반 고등학생의 선호도와 영양기준을 고려한 식단 추천"
🥳 Feb. 2024: Donghyeon Park (Professor)'s paper, "CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions" has been ACCEPTED to the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) to be held in Torino (Italia) on 20-25 May, 2024.
🥳 Dec. 2023: Eunyoung Bae (M.S. Student)'s paper, "The analysis of foreigner reviews for restaurants in Jung-gu, Seoul: Based on reviews from TripAdvisor", has been published to the International Journal of Tourism and Hospitality Research (KCI Journal)
☃️ Dec. 2023: Five poster papers have been presented to Korea Software Congress 2023
Jaesung Hwang (M.S. Student)'s paper,
Nilufar Khodzhaeva (M.S. Student)'s paper,
Hoon Park (Undergrad Student)'s paper,
Taeho Kim (Undergrad Student)'s paper,
Sungbeom Park (Undergrad Student)'s paper,
🥳 Aug. 2023: Donghyeon Park (Professor)'s paper, "KitchenScale: Learning to Predict Ingredient Quantities from Recipe Contexts" has been published in Expert Systems with Applications, one the most recognized journals with an impact factor of 8.665 (2022). This paper is based on collaborative work with Sony Research and Korea University.
🥳 Oct. 2022: Donghyeon Park (Professor)'s paper, "RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer" has been accepted at CIKM 2022, one of the top-tier conferences in Information and Knowledge Management domain. This paper is a fruitful result of collaborative work among our FNAI Lab, DMIS lab (Korea University) and Sony AI (Tokyo, Japan) which aims to promote creative cooking in food industry.
About Us
The main focus of FNAI Lab is to utilize and leverage artificial intellignece (AI) and machine learning (ML) to solve problems in Foodinformatics, AI gastronomy, Recipe recommendation, Personalized diet prescription, Precision nutrition. In order to diversify and strengthen its arsenal, FNAI Lab also conducts research in other areas such as natural language processing (NLP), recommendation systems, and graph ML in order to uncover more-refined techniques to carry out its larger mission.
For more detailed explanations, check out our on-going research.
We are now hiring new members including undergraduate, master, Ph.D. students.
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