Global InformationGanesh Bagler information
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Ganesh Bagler | |
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| Born | 31 January 1977 Solapur, Maharashtra, India |
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| Scientific career | |
| Fields | Computational biology |
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| Website | cosylab |
Ganesh Bagler is known for his research [1][2][3][4][5][6][7][8][9][10] in computational gastronomy, an emerging data science of food, flavors and health.[11][12][13] By blending food with data and computation he has helped establish the foundations of this niche area.[11][12][9][7] Starting with the investigation of food pairing in the Indian cuisine,[14][15][16][17][18][19][20] his lab has contributed to computational gastronomy with studies on culinary fingerprints of world cuisines,[4] culinary evolution,[21][22] benevolent health impacts of spices,[23] and taste prediction algorithms.[3]
- ^ Jain, Anupam; Rakhi N K; Bagler, Ganesh (2015). "Spices form the basis of food pairing in Indian cuisine". arXiv:1502.03815 [physics.soc-ph].
- ^ Jain, Anupam; n k, Rakhi; Bagler, Ganesh (2015). "Analysis of Food Pairing in Regional Cuisines of India". PLOS ONE. 10 (10): e0139539. arXiv:1505.00890. Bibcode:2015PLoSO..1039539J. doi:10.1371/journal.pone.0139539. PMC 4592201. PMID 26430895.
- ^ a b Tuwani, Rudraksh; Wadhwa, Somin; Bagler, Ganesh (9 May 2019). "BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules". Scientific Reports. 9 (1): 7155. Bibcode:2019NatSR...9.7155T. doi:10.1038/s41598-019-43664-y. PMC 6509165. PMID 31073241.
- ^ a b Bagler, Ganesh; Singh, Navjot (2018). "Data-Driven Investigations of Culinary Patterns in Traditional Recipes Across the World". 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW). pp. 157–162. arXiv:1803.04343. doi:10.1109/ICDEW.2018.00033. ISBN 978-1-5386-6306-6. S2CID 4941349.
- ^ Garg, Neelansh; Sethupathy, Apuroop; Tuwani, Rudraksh; Nk, Rakhi; Dokania, Shubham; Iyer, Arvind; Gupta, Ayushi; Agrawal, Shubhra; Singh, Navjot; Shukla, Shubham; Kathuria, Kriti; Badhwar, Rahul; Kanji, Rakesh; Jain, Anupam; Kaur, Avneet; Nagpal, Rashmi; Bagler, Ganesh (4 January 2018). "FlavorDB: a database of flavor molecules". Nucleic Acids Research. 46 (D1): D1210–D1216. doi:10.1093/nar/gkx957. PMC 5753196. PMID 29059383.
- ^ Rakhi, N. K.; Tuwani, Rudraksh; Mukherjee, Jagriti; Bagler, Ganesh (2018). "Data-driven analysis of biomedical literature suggests broad-spectrum benefits of culinary herbs and spices". PLOS ONE. 13 (5): e0198030. Bibcode:2018PLoSO..1398030R. doi:10.1371/journal.pone.0198030. PMC 5973616. PMID 29813110.
- ^ a b "Can A Computer Cook Up The Perfect Recipe?". HuffPost India. 16 December 2018.
- ^ "Food Scientists Say AI Can Give Ayurveda Scientific Rigor". HuffPost India. 5 January 2019.
- ^ a b "The secret ingredient of Indian food". Hindustan Times. 21 April 2018.
- ^ "Computational Gastronomy: Leveraging food for better health through... by Ganesh Bagler". YouTube. 8 August 2019. Retrieved 23 February 2020.
- ^ a b "Data" (PDF). www.currentscience.ac.in. Retrieved 24 February 2020.
- ^ a b Mathew, Sunalini (22 January 2019). "The scoop on computational gastronomy". The Hindu – via www.thehindu.com.
- ^ "One Day Symposium on Computational Gastronomy". IIIT-Delhi. 17 November 2018.
- ^ arXiv, Emerging Technology from the. "Data Mining Indian Recipes Reveals New Food Pairing Phenomenon". MIT Technology Review.
- ^ FerdmanBioBio, Roberto A. Ferdman closeRoberto A. "Scientists have figured out what makes Indian food so delicious". Washington Post.
- ^ S, Rukmini (2 March 2015). "Big Data is changing the way we look at food". The Hindu – via www.thehindu.com.
- ^ "This is why Indian food is so delicious... - Times of India". Timesofindia.indiatimes.com. 6 December 2015. Retrieved 23 February 2020.
- ^ "Why Indian Food Is So Tasty". Time.
- ^ "Researchers Explain Why Indian Cuisine Is Exquisite". NPR.org.
- ^ "The tastes of India: Spices give Indian food the edge". The Jakarta Post.
- ^ Jain, Anupam; Bagler, Ganesh (1 August 2018). "Culinary evolution models for Indian cuisines". Physica A: Statistical Mechanics and Its Applications. 503: 170–176. arXiv:1505.00155. Bibcode:2018PhyA..503..170J. doi:10.1016/j.physa.2018.02.176. S2CID 16910527.
- ^ Tuwani, Rudraksh; Sahoo, Nutan; Singh, Navjot; Bagler, Ganesh (2019). "Computational models for the evolution of world cuisines". arXiv:1904.10138 [physics.soc-ph].
- ^ Rakhi, N. K.; Tuwani, Rudraksh; Mukherjee, Jagriti; Bagler, Ganesh (2018). "Data-driven analysis of biomedical literature suggests broad-spectrum benefits of culinary herbs and spices". PLOS ONE. 13 (5): e0198030. Bibcode:2018PLoSO..1398030R. doi:10.1371/journal.pone.0198030. PMC 5973616. PMID 29813110.