Program
Keynote Talk
Dr. Ganesh Bagler
Infosys Centre for Artificial Intelligence & Complex Systems Laboratory, Indraprastha Institute of Information Technology,
Delhi (India)
Bio: As a teenager, Ganesh Bagler aspired to be an astronomer. Trained in physics, computer science, and computational biology, he has had an adventurous journey from astronomy to gastronomy. Prof. Bagler is known for his pioneering research in ‘Computational Gastronomy.’ By building keystone data repositories, algorithms, and applications, his lab has established the foundations of this emerging data science that blends food with artificial intelligence. Innovative research from his lab has contributed to this niche dealing with food, flavors, nutrition, health, and sustainability. Dr. Bagler has an audacious dream of transforming the food landscape by making food computable.
Title: Computational Gastronomy: Making Food Computable
Invited Talk
Dr. Adarsh Nadig
Faculty of Medical Leadership and Management Program,
Barking, Havering and Redbridge University Hospitals NHS Trust, London (UK)
Bio: Dr. Adarsh Nadig, a practising neurosurgeon from London, argues that food is the most essential component of health, yet it is often overlooked. He emphasizes that personalization and empowering individual taste in food can have profound impacts on both personal well-being and planetary health. His initiative, Palate Power, is a technology-driven solution that employs a unique approach to bridging the gaps between the aspirations of individuals, healthcare organizations, agencies, research, and the state.
Title: There is Nothing Artificial About Taste Intelligence
Panel Discussion
Prof. Ramesh Jain
Computer Science and Institute for Future Health,
University of California, Irvine
(USA)
Prof. Yoko Yamakata
Information Technology Center,
University of Tokyo
(Japan)
Dr. Maija Kale
Baltic International Centre for Economic Policy Studies,
University of Latvia (Latvia)
Prof. Partha Pratim Das
Computer Science and Centre for Data Science and Analytics,
Ashoka University
(India)
Prof. Stavroula Mougiakakou
ARTORG Center for Biomedical Engineering Research,
University of Bern
(Switzerland)Topic: Multimodal Food Computing: Bridging Cultural Heritage, AI, and Sustainable Food Futures
Themes: Understanding Food Through Multiple Modalities, Cultural Preservation, Data to Insights and Actions, Trustworthy AI for Food Computing
Accepted Full Papers / Oral Presentations
What we talk about when we talk about food experiences
Yihan Kang, Shu Zhong, Sriram Subramanian and Marianna Obrist.
Blockchain-Based Paddy Crop Marketplace: Enhancing Farmer-Buyer Trust Through Smart Contracts
A Kandasamy, Chandrasekaran K, Usha Divakarla and Mohan Krishna.
FLICSNet: A Novel Framework for Cooking Action Segmentation from Video
Sandeep Khanna, Chiranjoy Chattopadhyay and Suman Kundu.
Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation
Lubnaa Abdur Rahman, Ioannis Papathanail and Stavroula Mougiakakou.
The Digital Sous-Chef : A Comparative Study on Fine-Tuning Language Models for Recipe Generation
Shubham Pundhir and Ganesh Bagler.
Extending FKG.in: Towards A Food Claim Traceability Network
Saransh Kumar Gupta, Rizwan Gulzar Mir, Lipika Dey, Partha Pratim Das, Anirban Sen and Ramesh Jain.
Contextualized Food Planning for Fluoride Toxicity Mitigation Using Multimodal Data
Tiyasa Das, Monojit Samajder and Chandreyee Das.
TATVA: Turmeric Adulteration Detection using Thermal Video Analysis
Rupinder Kaur, Shahbaz Ahmad Khanday, Simrandeep Singh, Uday Thakur, Ashish Verma and Mukesh Saini.
Accepted Short Papers / Poster Session
Diffusion-Guided 3D-Aware Calorie Estimation from a Single Food Image
Mayu Ogishi, Hikaru Tanabe and Keiji Yanai.
Food Nutrient Estimation Based on a Dual-directional Self-attention Aggregation Enhanced Inception Model
Aixue Shen, Xian-Hua Han, Xu Qiao, Ke Liu, Jiande Sun and Jian Wang.
What’s Not on the Plate? Rethinking Food Computing through Indigenous Indian Datasets
Pamir Gogoi, Neha Joshi, Ayushi Pandey, Deepthi Sudharsan, Saransh Kumar Gupta, Lipika Dey, Partha Pratim Das, Kalika Bali and Vivek Seshadri.
Decoupled Clip and Dynamic Sampling Policy Optimization for Food Reasoning Segmentation
Hikaru Tanabe and Keiji Yanai.
Towards an Action-Centric Ontology for Cooking Procedures Using Temporal Graphs
Aarush Kumbhakern, Saransh Kumar Gupta, Lipika Dey and Partha Pratim Das.
Schedule
-
09:00 - 09:10
Chair’s Address - Day's Program
-
09:15 - 10:30
Keynote Talk by Prof. Ganesh Bagler
Computational Gastronomy - The Emerging Science of Food, Flavors, Nutrition, and Personalized Health
-
10:30 - 11:00
Morning Tea
-
11:00 - 12:30
Full Paper Presentations
12 minutes each – including Q&A
What we talk about when we talk about food experiences
Yihan Kang, Shu Zhong, Sriram Subramanian and Marianna Obrist
Blockchain-Based Paddy Crop Marketplace: Enhancing Farmer-Buyer Trust Through Smart Contracts
A Kandasamy, Chandrasekaran K, Usha Divakarla and Mohan Krishna
FLICSNet: A Novel Framework for Cooking Action Segmentation from Video
Sandeep Khanna, Chiranjoy Chattopadhyay and Suman Kundu
Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation
Lubnaa Abdur Rahman, Ioannis Papathanail and Stavroula Mougiakakou
Extending FKG.in: Towards A Food Claim Traceability Network
Saransh Kumar Gupta, Rizwan Gulzar Mir, Lipika Dey, Partha Pratim Das, Anirban Sen and Ramesh Jain
Contextualized Food Planning for Fluoride Toxicity Mitigation Using Multimodal Data
Tiyasa Das, Monojit Samajder and Chandreyee Das
TATVA: Turmeric Adulteration Detection using Thermal Video Analysis
Rupinder Kaur, Shahbaz Ahmad Khanday, Simrandeep Singh, Uday Thakur, Ashish Verma and Mukesh Saini
-
12:30 - 13:30
Lunch
-
13:30 - 14:15
Invited Talk by Dr. Adarsh Nadig
There is Nothing Artificial About Taste Intelligence
-
14:15 - 14:45
Short Paper Presentations
5 Minutes Lightning Pitch
Diffusion-Guided 3D-Aware Calorie Estimation from a Single Food Image
Mayu Ogishi, Hikaru Tanabe and Keiji Yanai
Food Nutrient Estimation Based on a Dual-directional Self-attention Aggregation Enhanced Inception Model
Aixue Shen, Xian-Hua Han, Xu Qiao, Ke Liu, Jiande Sun and Jian Wang
What’s Not on the Plate? Rethinking Food Computing through Indigenous Indian Datasets
Pamir Gogoi, Neha Joshi, Ayushi Pandey, Deepthi Sudharsan, Saransh Kumar Gupta, Lipika Dey, Partha Pratim Das, Kalika Bali and Vivek Seshadri
Decoupled Clip and Dynamic Sampling Policy Optimization for Food Reasoning Segmentation
Hikaru Tanabe and Keiji Yanai
Towards an Action-Centric Ontology for Cooking Procedures Using Temporal Graphs
Aarush Kumbhakern, Saransh Kumar Gupta, Lipika Dey and Partha Pratim Das
-
15:00 - 15:30
Afternoon Tea
-
15:30 - 16:30
Panel Discussion
Multimodal Food Computing - Bridging Cultural Heritage, Artificial Intelligence, and Sustainable Food Futures
-
16:30 - 16:45
Closing Remarks
-
16:45 - 18:30
Poster Session