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 federated environment. My research is primarily focused on agriculture and food systems, including the development of data infrastructures and customized machine learning algorithms that integrate data from various sources using semantic web technologies.


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, [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, [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, [108360]. https://doi.org/10.1016/j.foodcont.2021.108360
Jin, C., Bouzembrak, Y., Zhou, J., Liang, Q., van den Bulk, L. M. , Gavai, A., Liu, N., van den Heuvel, L. J., Hoenderdaal, W., & Marvin, H. J. P. (2020). Big Data in food safety - A review. Current Opinion in Food Science, 36, 24-32. https://doi.org/10.1016/j.cofs.2020.11.006
Bouzembrak, Y., Kl├╝che, M. , Gavai, A., & Marvin, H. J. P. (2019). Internet of Things in food safety: Literature review and a bibliometric analysis. Trends in Food Science and Technology, 94, 54-64. https://doi.org/10.1016/j.tifs.2019.11.002
Singh, G., Kuzniar, A., van Mulligen, E. M. , Gavai, A., Bachem, C. W., Visser, R. G. F., & Finkers, R. (2018). QTLTableMiner++: Semantic mining of QTL tables in scientific articles. BMC bioinformatics, 19(1), [183]. https://doi.org/10.1186/s12859-018-2165-7

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Affiliated Study Programmes



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.


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