We make food computable
‘Computational Gastronomy' presents an all-new paradigm for data-driven investigations of food and cooking,
considered to be artistic endeavors.
Join us to witness a blend of food and computing.
Symposium on Computational Gastronomy
Registration Link
21 December 2022 (Wednesday)
Kaggle Challenges for Data Scientists
How sweet is that? |
What cuisine is that?
What dish is that? |
Bitter or not? |
Sweet or not?
We are scouting for Ph.D. Research Scholars (and research interns). Apply!
CREATING FOOD DATABASES
We build keystone data repositories for food. RecipeDB, FlavorDB, BitterSweet, DietRx, SpiceRx & Ayurveda Informatics.
BUILDING ALGORITHMS
We create algorithms for analyzing food data. Food pairing analysis, culinary fingerprints, taste & sweetness prediction.
GENERATING NOVEL RECIPES
Among other exciting things, we are 'generating novel recipes' using artificial Intelligence.
COMPUTATIONAL GASTRONOMY RESOURCES
Making Food Computable with Data Science and Artificial Intelligence.
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RecipeDB
A structured repository of recipes from across the globe
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FlavorDB
A repository of flavor molecules found in food ingredients
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SpiceRx
A platform for exploring the health impacts of culinary herbs and spices
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DietRx
A platform for exploring the health impact of dietary ingredients
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SerpentinaDB
A resource for prospection of therapeutic compounds of R. serpentina
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Ratatouille
Generating novel recipes with Artificial Intelligence
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BitterSweet
A webserver for predicting BitterSweet taste of compounds
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CulinaryDB
A structured repository of recipes from 22 world regions
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Ayurveda Informatics
A computable database of Ayurveda
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Phytochemica
A structured phytochemicals library of medicinal plants from Himalayas
Team
Setting the foundations of data-driven food innovations
PROF. GANESH BAGLER
Lab Director
Prof. Ganesh Bagler is considered the pioneer of computational gastronomy. Trained in physics, computer science, and compuationational biology, Ganesh enjoys exploring diverse topics.
MANSI GOEL
PhD Research Scholar
Mansi is trained in computer science at undergraduate and postgraduate level. She is working on applications of computational gastronomy.
RAKHI NK
PhD Research Scholar
Trained in linguistics, Rakhi worked on food pairing analysis in the Indian cuisine. She also investigatd the health impacts of herbs and spices.
RAHUL BADHWAR
PhD Research Scholar
Trained as a dentist and a bioinformatician Rahul investigated the control mechanisms of neuronal wiring in C. elegans and system biological phenomena in brain networks.
RAKESH KANJI
PhD Research Scholar
Trained as a computer scientist, Rakesh investigated the mechanisms of drugs, targets and adverse reactions from a systems biological perspective.
SHIVALIKA PATHANIA
PhD Research Scholar
A biotechnogist by training, Shivalika worked on computational systems biological analysis of medicinal plants data aimed at drug discovery.
VANDANA RAVINDRAN
PhD Research Scholar
Vandana investigated the control mechanisms of molecular interactomes underlying cancer.
NEELANSH GARG
Research Intern
Machine Learning Engineer at Schlumberger. Computer Science graduate from USC.
NAVJOT SINGH
Research Intern
Pursuing M.S. in Data Science from Columbia University. Worked at D E Shaw Group as a Senior Member Technical.
JUSHAAN KALRA
Research Intern
Machine Learning Scientist at Wadhwani AI. Computer Science graduate from DTU.
ANUPAM JAIN
Research Intern
Specialist at Apple, Airtel, and TCS. Computer Science graduate from IIT Jodhpur.
NUTAN SAHOO
Research Intern
Data Science intern at Meta. Pursuing Masters in Health Data Science from Harward University.
ARVIND IYER
Research Intern
Ph.D. Research Scholar at University of Lausanne, Switzerlans. Masters in Computational Biology from IIIT-Delhi.
MANASI MALIK
Research Intern
Ph.D. Research Scholar at Cognitive Science Department, Johns Hopkins University. B.Tech.(ECE) from IIIT-Delhi.
PALLAB CHAKRABORTY
Research Intern
Technical member at NetApp. M.Tech. in CSE from IIIT-Delhi.
SRITANAYA TAPTIMALA
Research Intern
Software Engineer at NatWest. M.Tech. in CSE from IIIT-Delhi.
SHUBHAM DOKANIA
Research Intern
Pursuing Masters degree at IIIT-Hyderabad. Worked as at Mercedes-Benz R&D, Attentive.AI, Ambient.AI, Coding Blocks, and Omnipresent Robot.
LAVANYA GUPTA
Research Intern
Graduate Student at Carnegie Mellon University (LTI, Computer Science).
TRIPT SHARMA
Research Intern
Pursuing M.S. in Robotics from Worcester Polytechnic Institute. Previously worked as a Robot Software Developer for iPresence, Japan.
SHIVANGI DHIMAN
Research Intern
Management Consulting Associate at Accenture. B.Tech (CSAM) from IIIT-Delhi.
JAGREETI MUKHRJEE
Research Intern
Graduate Research Assistant at Rice University, Houston.
JASPREET SINGH MARWAH
Research Intern
Graduate from Durham College and Seneca College (Canada). MERN stack developer at MangoVisa.
AYUSHI GUPTA
Research Intern
Pursuing Ph.D. at IIIT-Delhi. M.Tech. in Computational Biology from IIIT-Delhi.
PURVA PARMAR
Research Intern
Pursuing MS from IISER-Pune.
DEEPANSHU PANDEY
Research Intern
Data Science Associate at ZS Associates. B.Tec. (Mechanical Engineering) from Delhi Technological University.
SHAYNA MALIK
Research Intern
Pursuing B.Tech. (ECE) from IIIT-Delhi. 2023 Batch.
VISHESH AGRAWAL
Research Intern
Pursuing MS in Computer Science (Artificial Intelligence) at the University of Southern California. Graduate from IIIT-Delhi.
AMAN KUMAR
Research Intern
Graduate Student at the University of Maryland, College Park.
Sai Mukund Ramakrishnan
Research Intern
Statistical Data Analyst - Bioinformatics Scientist, Washington University in St. Louis.
AKASHDEEP BISWAS
Research Intern
Ph.D. from Scuola Normale Superiore di Pisa, Italy. Postdoc at University of Milan. Part of EXSCALATE project (Horizon 2020).
Our team skills
The team of research scholars and interns is highly skilled in computer science, data science, machine learning, and artificial intelligence.
News & Views
Symposium on Computational Gastronomy
Join us: 21 December 2022
An annual gathering of food enthusiasts.
Symposium on Computational Gastronomy
Kaggle Challenges for Data Scientists. Which cuisine is that?
Turing Test for Chef
Can computers think like a chef?
Rolling out soon.
Symposium on Computational Gastronomy
Making Food Computable
LinkedIn Blog
An argument for making food computable.
Symposium on Computational Gastronomy
The Computational Gastronomy Pioneer
Establising the foundations of Computational Gastronomy
The Ground-Zero of Computational Gastronomy
Washington Post
Food Pairing in Indian Cuisine
Scientists have figured out what makes Indian food so delicious
BOOK: The Indian Pantry by Vir Sanghvi
The Secret Ingredient: A Chapter in the book
The Indian Pantry
The Magic of Indian Spices by Vir Sanghvi (Hindustan Times)
The Magic of Indian Spices by Vir Sanghvi
Hindustan Times
Science Reporter, NISCAIR, India
Spices form the basic of food pairing in Indian cuisine
The Great Indian Cuisine
Open Computational Gastronomy
Course of YouTube
Open Computational Gastronomy.
Publications
- "Object Detection in Indian Food Platters using Transfer Learning with YOLOv4", IEEE 38th International Conference on Data Engineering Workshops (ICDEW) (2022) (Best Paper Award).
- "Ratatouille: A tool for Novel Recipe Generation", IEEE 38th International Conference on Data Engineering Workshops (ICDEW) (2022).
- "FoodPrint: Computing Carbon Footprint of Recipes", IEEE 38th International Conference on Data Engineering Workshops (ICDEW) (2022).
- "Computational gastronomy: A data science approach to food", Journal of Biosciences (2022).
- "Building Hierarchically Disentangled Language Models for Text Generation with Named Entities", 28th International Conference on Computational Linguistics COLING (2020).
- "Nutritional profile estimation in cooking recipes", IEEE 36th International Conference on Data Engineering Workshops 2020 (ICDEW).
- "A named entity based approach to model recipes", IEEE 36th International Conference on Data Engineering Workshops 2020 (ICDEW).
- "Classification of Cuisines from Sequentially Structured Recipes", IEEE 36th International Conference on Data Engineering Workshops 2020 (ICDEW).
- "Hierarchical clustering of world cuisines", IEEE 36th International Conference on Data Engineering Workshops 2020 (ICDEW).
- "RecipeDB: A resource for exploring recipes", Database, Oxford University Press (2020).
- "BitterSweet: building machine learning models for predicting the bitter and sweet taste of small molecules", Scientific Reports (2019).
- "Computational models for the evolution of world cuisines", IEEE 35th International Conference on Data Engineering Workshops (ICDEW) 2019.
- "Culinary evolution models for Indian cuisines", Physica A: Statistical Mechanics and its Applications (2018).
- "Data-driven investigations of culinary patterns in traditional recipes across the world", IEEE 34th International Conference on Data Engineering Workshops (ICDEW) 2018.
- "Data-driven analysis of biomedical literature suggests broad-spectrum benevolence of culinary herbs and spices", PLoS One (2018).
- "A hierarchical anatomical classification schema for prediction of phenotypic side effects", PLoS One (2018).
- "FlavorDB: a database of flavor molecules", Nucleic Acids Research, Oxford University Press (2018)
- "SpiceRx: an integrated resource for the health impacts of culinary spices and herbs", bioRxiv (2018)
- "Robust Sigmoidal Control Response of C. elegans Neuronal Network", International Joint Conference on Rough Sets (2017).
- "Identification of critical regulatory genes in cancer signaling network using controllability analysis", Physica A: Statistical Mechanics and its Applications (2017).
- "A distance constrained synaptic plasticity model of C. elegans neuronal network", Physica A (2016).
- "Graph theoretical biomarkers for schizophrenic brain functional networks", International Conference on Signal Processing and Communication (2016).
- "Controllability of human cancer signaling network", International Conference on Signal Processing and Communication (2016).
- "Differential network analysis reveals evolutionary complexity in secondary metabolism of Rauvolfia serpentina over Catharanthus roseus", Frontiers in Plant Science (2016).
- "Control of neuronal network in Caenorhabditis elegans", PLoS ONE (2015).
- "Analysis of food pairing in regional cuisines of India", PLoS ONE (2016).
- "Phenotypic side effects prediction by optimizing correlation with chemical and target profiles of drugs", Molecular Biosystems (Royal Society of Chemistry) (2015).
- "SerpentinaDB: a database of plant-derived molecules of Rauvolfia serpentina", BMC Complementary and Alternative Medicine (2015). | Serpentina DB
- "Phytochemica: A platform to explore phytochemicals of medicinal plants", Database (Oxford University Press) (2015). | Pytochemica
- "Tyrosine and tryptophan coated gold nanoparticles inhibit amyloid aggregation of insulin", Amino Acids (2015).
- "Capsaicin suppresses fibril formation of type I collagen and increases tendon's stability", European Biophysical Journal (2015).
- "Engineering a thermo-stable superoxide dismutase functional at sub-zero to >50 degree celcius, which also tolerates autoclaving", Scientific Reports, (2012).
- Ganesh Bagler*, "Complex Network Models of Protein Structures: Structural correlates of biophysical properties", Lambert Academic Publishing (Germany), ISBN: 978-3-8433-5860-6 (2010; BOOK).
- "Designing evolvable libraries using multi-body potentials", Current Opinion in Biotechnology, (COVER-PAGE ARTICLE) (2009) .
- "Assortative mixing in protein Contact Networks and protein folding kinetics", Bioinformatics (2007).
- "Network properties of protein Structures", Physica A (2005).
- "Analysis of Airport Network of India as a Complex Weighted Network", Physica A (2008).
- "Complex network view of performance and risks on airport networks", Nova Science Publishers, USA, ISBN: 978-1-60692-393-1 (2009).
- "Modeling Protein Contact Networks" PhD Thesis (December 2006).
- "The Role of Host Migration on Host-Parasite Population Dynamics", in Proceedings of the Second Conference on Nonlinear Systems and Dynamics (2005).
- "Modelling the Host-Parasite Interaction", in Proceedings of the First Conference on Nonlinear Systems and Dynamics (2003).
- "Non-verbal human communication under varying levels of restrictions: An empirical and computational investigation of Password and Gasekitomu games," SFI CSSS Student Papers, Beijing (2005).
- "Evolution of Food-web Networks in Fluctuating Environments," SFI CSSS Student Papers, Beijing (2005).
Talks
Making a case for data-driven explorations of food
Get in touch
Prof. Ganesh Bagler
Infosys Center for Artificial Intelligence
Department of Computational Biology, IIIT-Delhi, New Delhi
bagler+cosylab@iiitd.ac.in