About Conference
About SEMIT 2025
The individuals, institutions, and industries are welcome to join the International Conference on Science, Engineering Management, and Information Technology (SEMIT 2025). This event intends to unite educators, industry experts, faculty members, scholars, and university students from all around the globe.
SEMIT 2025 seeks to facilitate the exchange of information, experiences, and research findings related to recent theoretical and practical advancements in research and industry. The conference offers a remarkable platform to address current national and international challenges while fostering collaboration between universities and industries.
SEMIT conferences have been held since 2022 and the conference reports represent their successful outcomes.
SEMIT 2022 (Feb.)- 02-03 February 2022
SEMIT 2022 (Sep.)- 08-09 September 2022
SEMIT 2023- 14-15 September 2023
SEMIT 2024- 12-13 September 2024
SEMIT 2025 will feature paper presentations, invited keynote speeches, workshops, and other engaging programs, details of which are accessible on this website. The conference cordially invites all researchers, lecturers, students, managers and experts.
The Conference language is English, and the papers may be submitted either in English or Turkish. Selected papers will be considered for publication in the Springer CCIS Book Series or one of the journals listed on this website.
SEMIT 2025 will be held in virtual mode and the HYBRID MODE (Online & In-Person) will be accessible to worldwide participants.
We invite submissions from a wide range of fields, including Science, Engineering Management, and Information Technology. In addition to research papers, case studies are greatly welcome. Both full papers and abstracts are accepted for presentation at the conference and inclusion in the conference proceedings, but only full papers may be considered for inclusion in the Springer CCIS Book Series, which is supposed to be published before the conference. The conference topics include, but are not limited to the following subjects:
- IT and EM-based case studies of manufacturing/ service industries (including automotive, food, tourism, petroleum, healthcare, insurance and banking, energy, etc.)
- E-government, E-commerce, E-learning
- Marketing and E-marketing for resources management
- Data science and knowledge management in EM
- Industry 4.0, supply chain 4.0, and logistics 4.0
- Applied soft computing in engineering management
- Blockchain in engineering management
- Data science in project management
- Decision support and expert systems
- Digital technologies in service and industry
- Machine learning, deep learning and neural networks
- Other fields of study related to EM and IT