Food Computing Lab
Welcome fellow researchers to the Food Computing Lab! We aim to deepen our knowledge of food and its intricate connections to nutrition, cooking, recipes, dietary practices, well-being, society, and environment - particularly in the Indian context. Our work emphasizes the importance of understanding food not only as a source of sustenance and enjoyment, but also as a vital component of a healthy and sustainable lifestyle. Using novel AI-driven computational technologies, we mine, curate and analyze data and relationships within food systems to uncover insights that enable healthier eating habits, recipe generation, food recommendation, knowledge discovery, and informed decision-making. To know more about our work, please browse our research.
We are interested in advancing the state-of-the-art of FOOD FACTS:
Food Ontologies and Organized Data For AI-driven Computational Technologies and Sustainability
Institutional Home:: Ashoka University, Sonipat, Haryana (India)
Key Problem Statement: To address the prevalence and increasing threat of diet-related diseases like obesity, hypertension, and diabetes in India, it has become necessary to build frameworks for precisely tracking the dietary nutrition of food consumption among Indians. The recently proposed Personalized Health Navigators (PHN) and Personalized Digital Health (PDH) can provide an effective and efficient solution to these problems, provided adequate knowledge about Indian food and nutrition is digitally represented, available, and accessible alongside easy mechanisms to capture what people are eating regularly. We intend to create these platforms including but not limited to a comprehensive, granular, and dynamic database of Indian food at scale, an accompanying intelligent knowledge-based system for reasoning, and a recommendation system for personalized health navigation. And this is only the beginning!
News
MADiMa [Dec. 2024]
1 paper on Enhancing FKG.in: automating Indian food composition analysis accepted for poster, presentation and subsequent publication at the 9th International Workshop on Multimedia Assisted Dietary Management (MADiMa) in conjunction with the 27th International Conference on Pattern Recognition (ICPR 2024), Kolkata (IN). Congratulations to the team!
EMNLP [Nov. 2024]
1 paper on Deciphering psycho-social effects of Eating Disorder : Analysis of Reddit Posts using Large Language Model(LLM)s and Topic Modeling accepted for publicaition in the Proceedings of the Workshop on Natural Language Processing for Digital Humanities during EMNLP 2024. Congratulations to the team!
JOWO [Sept. 2024]
1 paper on Building FKG.in: a Knowledge Graph for Indian Food accepted for publication in the Proceedings of the Joint Ontology Workshops (JOWO) - Episode X: The Tukker Zomer of Ontology, and satellite events co-located with the 14th International Conference on Formal Ontology in Information Systems (FOIS 2024). Congratulations to the team!
Internship [Summer 2024]
15 students completed their summer internship successfully. Congratulations to all the interns!
IFOW [July 2024]
Prof. Lipika Dey presented our work on Building FKG.in: a knowledge graph for Indian food at the Formal Ontology in Information Systems (FOIS): Integrated Food Ontology Workshop (IFOW) hosted at the University of Twente, Enschede, Netherlands.
IFH - Distinguished Lecture [Jun. 2024]
Prof. Partha Das gave a distinguished lecture on our work on FKG.in: Food Knowledge Graph in Indian Perspective while visiting the ‘Institute for Future Health’ at UC Irvine, US.
BDBio - Poster [Jun. 2024]
Saransh Gupta presented a poster on Building a knowledge graph for Indian food at the Big Data Algorithms for Biology (BDBio) Symposium hosted at Indian Institute of Science (IISc), Bangalore, India.
Food Computing Course [Monsoon 2023]
12 students completed the first offering of the Food Computing course in India successfully. Congratulations to all the students!
PHN - Presentation [Oct. 2023]
Prof. Partha Das presented our initial work on Food Computing Initiatives in India: Challenges and Opportunities at the Personalized Health Navigation (PHN): Food and Nutrition (F&N) Workshop hosted at Institute of Health Data Infrastructure for All (IDIAL), Tokyo, Japan.
Internship [Summer 2023]
6 students completed their summer internship successfully. Congratulations to all the interns!
Food Computing@Ashoka University [Monsoon 2022]
Food Computing initiatives started at Ashoka University by Dr. Ramesh Jain, Dr. Anurag Agrawal, Dr. Partha Pratim Das, and Dr. Geeta Trilok-Kumar.