BMS-HBE-FEBIS

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 customisedĀ machine learning algorithms that integrate data from various sources using semantic web technologies.

Expertise

  • Food Science

    • Food Safety
    • Food Supply
    • Food Product
  • Computer Science

    • Artificial Intelligence
    • Data Sharing
    • Visualization
  • Earth and Planetary Sciences

    • Investigation
    • Plant

Organisations

Publications

2025

Is AI overhyped? (2025)Patterns, 6(11). Article 101418. Moore, J. H., Gavai, A. K., Xia, Y., Mahmanzar, M. & Deng, Y.https://doi.org/10.1016/j.patter.2025.101418The Role and Applications of Semantic Interoperability Tools and eXplainable AI in the Development of Smart Food Systems: Findings from a Systematic Literature Review (2025)Intelligent Systems with Applications, 27. Article 200547. Xhani, D., Sedrakyan, G., Gavai, A., Guizzardi, R. & van Hillegersberg, J.https://doi.org/10.1016/j.iswa.2025.200547AI-driven personalized nutrition: RAG-based digital health solution for obesity and type 2 diabetes (2025)PLOS Digital Health, 4(5 May). Article e0000758. Gavai, A. K. & van Hillegersberg, J.https://doi.org/10.1371/journal.pdig.0000758AI-Driven Personalized Nutrition: RAG-Based Digital Health Solution for Obesity and Type 2 Diabetes (2025)[Working paper › Preprint]. Zenodo. Anand, G.https://doi.org/10.5281/zenodo.13898085Agricultural data Privacy: Emerging platforms & strategies (2025)Food and Humanity, 4. Article 100542. Gavai, A. K., Bouzembrak, Y., Xhani, D., Sedrakyan, G., Meuwissen, M. P. M., Guizzardi-Silva Souza, R., Marvin, H. J. P. & van Hillegersberg, J.https://doi.org/10.1016/j.foohum.2025.100542RAG-Based AI for Sustainable Nutrition: A Food Systems Solution for Hypertension and Cardiovascular Disease Management (2025)[Dataset Types › Dataset]. Zenodo. Gavai, A.https://doi.org/10.5281/zenodo.15241197AI-Powered Food Sustainability: Exploiting Knowledge Graphs for Reducing Carbon Footprints and Land Use (2025)[Dataset Types › Dataset]. Zenodo. Gavai, A.https://doi.org/10.5281/zenodo.14916808

Research profiles

Affiliated study programs

Courses academic year 2025/2026

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.

Courses academic year 2024/2025

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 hereĀ  Federated Learning in Food Safety

Address

University of Twente

Ravelijn (building no. 10), room 3416
Hallenweg 17
7522 NH Enschede
Netherlands

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