About SEMIT 2024
It is our great pleasure to extend our invitation to individuals, institutions, and industries to join us at the International Conference on Science, Engineering Management, and Information Technology (SEMIT 2024). This event promises to bring together faculty members, scholars, educators, industry experts, and university students from across the globe.
SEMIT 2024 aims to provide a platform to transfer information, experience, and scientific and research findings of the latest theoretical and practical advancements in engineering management and IT, both in research and industry. The conference presents an exceptional opportunity to address current national and international issues in engineering management and IT, fostering collaboration between universities and industries.
In addition to paper presentations and invited keynote speakers, the International Conference on Science, Engineering Management, and IT will also provide insightful workshops and other programs, the details of which are available on this website. The conference warmly welcomes all researchers, lecturers, and students, as well as managers and experts in the fields of engineering management and IT.
The Conference will be conducted in English and the papers may be submitted in English or Turkish. Selected papers will be considered for publication in journals listed on the website.
SEMIT 2024 will take place online on the Zoom platform, offering accessibility to participants worldwide.
We invite submissions across the broad spectrum of Science, Engineering Management, and Information Technology. In addition to research papers, case studies are perfectly welcome. Both full papers and abstracts are accepted for presentation at the conference and inclusion in the proceeding. 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, big data, data mining, and knowledge management in EM
- Decision-making and support systems in an uncertain environment and risk management
- Industry 4.0, supply chain 4.0, and logistics 4.0
- Supply chain management (green SCM, sustainable SCM, agile SCM, JIT SCM, global SCM, etc.)
- Optimization and decision-making: methods and algorithms
- Inventory control, production planning, and scheduling
- Applied soft computing in engineering management
- Metaheuristic algorithms and applications
- Quality and productivity management and tools
- Project management
- Blockchain in engineering management
- Artificial intelligence and expert systems
- Digital City
- Internet of Things (IoT)
- Other fields of study related to EM and IT