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dr.ir. A.K. Gavai MSc (Anand)

Assistant Professor

About Me

I specialize in data-focused research, with a particular emphasis on data science and artificial intelligence in a privacy preserving environment. My research is primarily focused on agriculture and food systems, including the development of data infrastructures and customised machine learning algorithms that integrate data from various sources using semantic web technologies.

Publications

Recent
Miranda Soares, F. , Ferreira Pires, L., Garcia, M. C., Coradin, L., Ghilardi-Lopes, N. P., Rangel Silva, R., Martins de Carvalho, A. , Gavai, A., Bouzembrak, Y., Moreira dos Santos Maculan, B. C., Koffler, S., Montedo, U. B., Pignatari Drucker, D., Santiago, R., de Carvalho, M. C., da Silva Lima, A. C., Elias Gabriel, H. D., Mendonça de França, S. G., Reis de Almeida, K., ... Saraiva, A. M. (2024). Citizen Science Data on Urban Forageable Plants: A Case Study in Brazil. bioRxiv. https://doi.org/10.1101/2024.01.22.575882
Gavai, A., Bouzembrak, Y., Mu, W., Martin, F., Kaliyaperumal, R., van Soest, J., Choudhury, A., Heringa, J., Dekker, A., & Marvin, H. J. P. (2023). Author Correction: Applying federated learning to combat food fraud in food supply chains (npj Science of Food, (2023), 7, 1, (46), 10.1038/s41538-023-00220-3). npj Science of Food, 7(1), Article 57. https://doi.org/10.1038/s41538-023-00232-z
Sedrakyan, G. , Gavai, A. , & van Hillegersberg, J. (2023). Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption. In T. P. Sales, G. Guizzardi, J. Araújo, & J. Borbinha (Eds.), Advances in Conceptual Modeling - ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Proceedings (pp. 312-328). (Lecture Notes in Computer Science; Vol. 14319). Springer Nature. Advance online publication. https://doi.org/10.1007/978-3-031-47112-4_29
Gavai, A., Bouzembrak, Y., Mu, W., Martin, F., Kaliyaperumal, R., van Soest, J., Choudhury, A., Heringa, J., Dekker, A., & Marvin, H. J. P. (2023). Applying federated learning to combat food fraud in food supply chains. npj Science of Food, 7(1), Article 46. https://doi.org/10.1038/s41538-023-00220-3
Buyuktepe, O., Catal, C., Kar, G., Bouzembrak, Y., Marvin, H. , & Gavai, A. (2023). Food fraud detection using explainable artificial intelligence. Expert systems, Article e13387. Advance online publication. https://doi.org/10.1111/exsy.13387
van den Bulk, L. M., Bouzembrak, Y. , Gavai, A., Liu, N., van den Heuvel, L. J., & Marvin, H. J. P. (2022). Automatic classification of literature in systematic reviews on food safety using machine learning. Current Research in Food Science, 5, 84-95. https://doi.org/10.1016/j.crfs.2021.12.010
Marvin, H. J. P., Hoenderdaal, W. , Gavai, A. K., Mu, W., van den Bulk, L. M., Liu, N., Frasso, G., Ozen, N., Elliott, C., Manning, L., & Bouzembrak, Y. (2022). Global media as an early warning tool for food fraud; an assessment of MedISys-FF. Food control, 137, Article 108961. https://doi.org/10.1016/j.foodcont.2022.108961
Liu, N., Bouzembrak, Y., van den Bulk, L. M. , Gavai, A., van den Heuvel, L. J., & Marvin, H. J. P. (2022). Automated food safety early warning system in the dairy supply chain using machine learning. Food control, 136, Article 108872. https://doi.org/10.1016/j.foodcont.2022.108872
Gavai, A., Bouzembrak, Y., Mu, W., Martin, F., Kaliyaperumal, R., Soest, J. V., Choudhury, A., Heringa, J., Dekker, A., & Marvin, H. (2022). A federated learning approach to data sharing in a food supply chain. Research Square Publications. https://doi.org/10.21203/rs.3.rs-2350301/v1
Gavai, A. K., Bouzembrak, Y., van den Bulk, L. M., Liu, N., van Overbeeke, L. F. D., van den Heuvel, L. J., Mol, H., & Marvin, H. J. P. (2021). Artificial intelligence to detect unknown stimulants from scientific literature and media reports. Food control, 130, Article 108360. https://doi.org/10.1016/j.foodcont.2021.108360

Google Scholar Link

Affiliated Study Programmes

Master

Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Projects

My department is situated within the High-tech Business and Entrepreneurship (HBE) department, which is part of the Faculty of Behavioural, Management and Social Sciences. HBE is a renowned department that focuses on the intersection of business, technology, and social sciences. Through innovative research and education programs, we aim to make a significant impact in the fields of business and healthcare by collaborating across disciplines. My work spans several areas, including smart industry, supply chain management, transportation and logistics management, innovation management, healthcare operations, technology-based entrepreneurship, purchasing and supply management, cyber security, financial engineering, HRM, change management, and leadership.

Media

The video of federated learning data train can be found here  Federated Learning in Food Safety

Contact Details

Visiting Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (building no. 10), room 3416
Hallenweg 17
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  3416
P.O. Box 217
7500 AE Enschede
The Netherlands