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Success of Industrial Engineering Students in TUBITAK 2209-A Research Projects

Success of Industrial Engineering Students in TUBITAK 2209-A Research Projects
  • 14 April, 2025
Success of Industrial Engineering Students in TUBITAK 2209-A Research Projects

The application results for the 2024/1 term of the 2209-A University Students Research Projects Support Program conducted by the TÜBİTAK Scientist Support Programs Directorate (BİDEB) have been announced. Three separate projects submitted by our Industrial Engineering undergraduate students have successfully passed the scientific evaluation process and have been entitled to receive support.

This development is a concrete indicator of our students' research competencies and interdisciplinary perspectives, and a proud success has been achieved with projects that have both academic and sectoral contribution potential.

1. Optimization of New Base Station Placement Additional to Existing Base Stations
Executive Student: Semih Emre Durmaz

Group Members: Asya Ersezen, Erkan Bakır

Within the scope of this project, it is aimed to analyze the coverage area of ​​existing base stations that are insufficient due to increasing population density and to provide coverage optimization with the strategic placement of new base stations. The project aims to contribute to the improvement of telecommunications infrastructure.

2. Selection of Water Pools for Antalya Manavgat Forest Fires

Student Manager: Furkan Biçen

Group Member: Sinan Şenol

With this project, the number and locations of new water pools will be optimized by considering the inadequacy of existing water pools in high fire risk regions. The aim is to create an effective intervention infrastructure by considering criteria such as fire risk, settlement density and access distances in the site selection process.

3. Distribution Rules Performance Analysis: Flow Type Scheduling Problem Example
Student Manager: Muhammed Mughrabi

Group Members: Gizem Yaşar, Ayça Damla Bozkurt, Burak Işık

This project aims to develop heuristic-based distribution rules that provide applicable and fast solutions to sequence-dependent group scheduling problems encountered in production environments. The project aims to present new approaches that will increase the efficiency of production planning processes.

These achievements of our Industrial Engineering students demonstrate the quality of undergraduate scientific research conducted within our university and student participation. We congratulate all our students and advisors who contributed, especially the project teams, and wish them continued success.