Şahin Aydın is the Head of the Department of Management Information Systems at Işık University and the Founder & Principal Investigator of INTALA LAB. His work focuses on intelligent agriculture, semantic web technologies, ontology engineering, artificial intelligence, IoT, open data, and data-driven decision support systems.
Şahin Aydın conducts applied and interdisciplinary research at the intersection of information systems, intelligent agriculture, semantic web technologies, software engineering, and data-driven decision support. His research agenda focuses on transforming agricultural and livestock systems through open data, ontology-based knowledge representation, AI-enabled analysis, IoT-based monitoring, and integrated software platforms.
He has led and contributed to research initiatives on smart apiculture, honey value chains, digital twin technologies, ontology development, GIS-supported agricultural analysis, and open data platforms. His work aims to produce both scientific contributions and operational information systems that can be used by researchers, institutions, producers, and decision makers.
The research focus combines computational methods, semantic technologies, and applied information systems for agriculture, livestock, and digital transformation.
Smart farming, smart beekeeping, agricultural decision support, livestock information systems, and data-driven production models.
Ontology engineering, knowledge representation, linked data, semantic interoperability, and domain-specific knowledge models.
AI and machine learning applications for agricultural analysis, classification, prediction, and decision support systems.
IoT-based monitoring, wireless sensor networks, environmental sensing, and field data acquisition architectures.
Open data infrastructures, data curation, interoperable platforms, and sustainable data-sharing ecosystems.
Web-based information systems, service-oriented architectures, microservices, APIs, and applied software development.
A selection of projects and systems developed around intelligent agriculture, apiculture technologies, ontology-based platforms, and open data.
Trustable and Sustainable Open Platform for Smart Honey Value Chains. The project focuses on open data, traceability, sustainability, and digital innovation in the honey value chain.
ICT-enabled systems for bee foraging site analysis, beekeeper assignment, routing, GIS-based suitability analysis, and smart apiculture decision support.
Ontology-based models and an online ontology dissemination platform for apiculture, honey value chains, semantic interoperability, and knowledge sharing.
A digital twin-oriented smart beekeeping application integrating hive monitoring, environmental data, simulation, and decision support concepts.
An international workshop on ICT-enabled optimization and digital innovation in beekeeping, organized by INTALA LAB at Işık University.
Research collaborations focusing on smart agriculture, apiculture technologies, open data, agricultural analytics, and digital transformation.
Selected journal articles, book chapters, and conference papers reflecting research on intelligent agriculture, semantic web, ontologies, IoT, open data, and agricultural analytics.
International Journal of Software Engineering and Knowledge Engineering. DOI: 10.1142/S0218194025500780
Turkish Journal of Agriculture - Food Science and Technology. DOI: 10.24925/turjaf.v14i1.155-171.8265
Journal of Computer Information Systems. DOI: 10.1080/08874417.2025.2469092
ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi. DOI: 10.18615/anadolu.1749470
Bee Studies - Apiculture Research Institute. DOI: 10.51458/BSTD.2025.46
Türkiye Tarımsal Araştırmalar Dergisi. DOI: 10.19159/tutad.1782605
Concurrency and Computation: Practice and Experience. DOI: 10.1002/cpe.8062
Computers and Electronics in Agriculture. DOI: 10.1016/j.compag.2022.106897
Computers and Electronics in Agriculture. DOI: 10.1016/j.compag.2020.105589
Applied Sciences. DOI: 10.3390/app10134460
Teaching activities focus on programming, software engineering, information systems, databases, IoT, and system analysis.
Dr. Aydın supervises undergraduate and graduate students in research and development projects at the intersection of software engineering, intelligent agriculture, data platforms, and applied information systems.
INTALA LAB is a multidisciplinary research laboratory focusing on intelligent agriculture and livestock applications through open data, semantic web technologies, artificial intelligence, IoT, machine learning, optimization, GIS, and software engineering.
Head of the Department of Management Information Systems; Founder and Principal Investigator of INTALA LAB.
Ph.D. in Management Information Systems.
M.Sc. in Informatics.
B.Sc. in Computer Education and Instructional Technologies.
For research collaboration, project partnerships, graduate supervision, or invited talks, please use the contact information and academic profiles below.
Işık University
Department of Management Information Systems
Istanbul, Türkiye