About Conference
About ODSIE 2025
It is our great pleasure to announce the third International Conference on Optimization and Data Science in Industrial Engineering (ODSIE 2025).
Organized in collaboration with Istinye University in Istanbul, ODSIE 2025 will take place in virtual mode (both online and in-person) and bring together academic professionals, researchers, educators, industry practitioners, and students from all over the globe. The conference aims to provide a platform for sharing knowledge, experiences, and recent theoretical and practical breakthroughs in optimization and data science within the field of industrial engineering, covering both academic research and industry applications.
The ODSIE conferences have been held annually since 2023, with each event reflecting their growing success. Reports from previous conferences can be accessed at the following links:
ODSIE 2025 offers a unique opportunity for experts to tackle pressing national and international challenges in data science and optimization while fostering stronger partnerships between academia and industry. In addition to keynote speeches and paper presentations, the conference will feature engaging workshops and other programs, with full details available on our website.
We warmly welcome researchers, educators, students, as well as professionals in engineering management and IT. Although English is the primary language of the conference, papers may be submitted and presented in both English and Turkish. Selected papers will be considered for publication in journals listed on the conference website.
Submissions focusing on Optimization and Data Science are highly encouraged. The conference accepts both full papers and abstracts for presentation at the conference and inclusion in the proceedings. We welcome both theoretical and applied research, including case studies, that emphasize the use of exact and heuristic optimization methods, as well as data science techniques to enhance decision-making. Suggest topic include, but are not limited to:
- Artificial intelligence and expert systems
- Smart manufacturing
- Sustainable, digital and smart cities
- Heuristic and metaheuristic algorithms with applications
- Big data analytics and Data mining in the industry
- Robotic process automation
- Fintech and algorithmic finance
- Sustainable and circular supply chain management
- Optimization and Data Science in service organizations
- Facilities design and planning
- Transportation and routing
- Inventory planning, Production, and scheduling
- Quality control and reliability engineering
- Project management
- Quantitative finance and risk modeling
- Integrated manufacturing and Enterprise resource planning
- Maintenance planning
- Process/Systems design and improvement