Projects
TÜBİTAK-funded, university-funded and international research projects.
RESEARCH PORTFOLIO
Research on high-dimensional data, regularization, functional data analysis and spatial statistics supported through TÜBİTAK programmes, university projects and international fellowships.
Funding approved · 7 August 2026
Modeling Heterogeneity in Big Spatial Data with Explainable and Supervised Machine Learning
TÜBİTAK 1001 · Scientific and Technological Research Projects Funding Programme
Explainable and supervised machine-learning methods for modeling heterogeneity in big spatial data, with interpretable and policy-oriented applications to regional energy intensity, air pollution and socio-economic indicators.
- Project no.
- 126K746
- Period
- 36 months
- Role
- Principal investigator
- Institution
- İnönü University
- Budget requested in the application
- TRY 2,979,000 · excluding project incentive payments and institutional share
Project team
Professor Bahadır Yüzbaşı
Principal investigator · İnönü University
Professor Ayşe Metin Karakaş
Researcher · Bitlis Eren University
Associate Professor Ebru Cavlak Aslan
Researcher · Fırat University
Associate Professor Fehmi Aslan
Researcher · Malatya Turgut Özal University
Professor Hasan Bulut
Researcher · Fırat University
Professor Tayfur Bayat
Researcher · İnönü University
GRADUATE OPPORTUNITIES
Planned graduate scholarship positions
Planned graduate scholarship positions · Interested candidates are welcome to get in touch.
| Level | Positions | Duration |
|---|---|---|
| Master's | 2 | 12 months |
| Master's | 1 | 18 months |
| PhD | 2 | 18 months |
Suggested candidate profile
- Be enrolled in a master's or PhD programme in statistics, econometrics, mathematics, data science, computer science or a related field.
- Have a field of study or thesis topic related to the project.
- Have an interest in R or Python programming, machine learning, spatial data analysis or reproducible research.
- Provide a short CV, transcript and brief statement of research interests.
Scholarship conditions
- TÜBİTAK rules on holding scholarships in more than one project apply.
- Students receiving a partial BİDEB scholarship cannot receive an additional scholarship from this project.
- Actual payments depend on employment status, the final project agreement and the TÜBİTAK rules in force.
The planned positions and durations remain subject to the final project agreement and current TÜBİTAK rules. Interested candidates may contact bahadir.yuzbasi@inonu.edu.tr.
Project outputs
The project has recently been accepted. Articles, presentations, software and other research outputs will be linked here as they become available.
Ongoing
Validity and Reliability Analysis of an AI-Developed Turkish Tax Compliance Scale
İnönü University · Scientific Research Projects
Evaluation of the validity and reliability of a Turkish tax compliance scale developed using artificial intelligence.
- Project no.
- SBA-2026-4833
- Period
- 1 April 2026 – 1 April 2027
- Role
- Researcher
- Institution
- İnönü University
Ongoing
Analysis of the Effects of Corruption Perception on Political Behaviour in Turkey
İnönü University · Scientific Research Projects
Statistical analysis of the relationship between corruption perception and political behaviour.
- Project no.
- SBA-2026-4536
- Period
- 17 February 2026 – 17 February 2027
- Role
- Researcher
- Institution
- İnönü University
Ongoing
Scaled Shrinkage Strategy for Complex Data Structures
İnönü University · Scientific Research Projects
Development of scaled shrinkage methods for complex data structures.
- Project no.
- SBA-2025-4340
- Period
- 13 November 2025 – 13 November 2026
- Role
- Principal investigator
- Institution
- İnönü University
International research fellowship
Machine Learning for Functional Data
TÜBİTAK 2219 International Postdoctoral Research Fellowship Programme
Machine-learning methods at the intersection of functional data analysis and statistical learning.
- Period
- 2024–2025 · 12 months
- Role
- Principal investigator
- Institution
- Simon Fraser University · Department of Statistics and Actuarial Science · Canada
- Funding
- USD 31,200
Completed
Investigation of Internal and International Migration in Van Province Using Geographically Weighted Regression
TÜBİTAK 3005 · Innovative Solutions in Social Sciences and Humanities Research Projects Support Programme
An empirical investigation of migration processes in Van Province using geographically weighted regression.
- Project no.
- 122G128
- Period
- 1 October 2022 – 5 April 2024
- Role
- Principal investigator
- Institution
- Türkiye
- Funding
- TRY 327,137
Related outputs
- Article Examining The Role of Job by Geographically Weighted Poisson Regression in The Post-Migration Adaptation Process: The Case of Van
- Article Study of the Factors Influencing Cultural Similarity in the Post-Migration Adaptation Process in the Province of Van Using the GWR Method
- Article The Role of Socio-Economic Development Level in Van Province on Migration
- Article Analysis of Van Province's Migration from Iran by Geographically Weighted Regression Method
- Book chapter Examining the Effect of Education on the Post-Migration Adaptation Process with the Geographically Weighted Poisson Regression Method: Van Example
- Presentation Socio-Development Level and Migration: A Study on Van Province
- Presentation An Empirical Analysis of Economic Insufficiency and Migration: Evidence from Van Province
- Presentation The Effect of Education on Post-Migration Adaptation in Van Province
- Presentation The Effect of Climate and Geography on Migration to Van Province
- Presentation Migration to Van Province to Access a Better Life
- Presentation Education-Driven Migration to Van Province Using Geographically Weighted Poisson Regression
- Presentation Investigation of Work Effect in the Post-Migration Adaptation Process by Geographically Weighted Poisson Regression: The Case of Van
- Presentation Examining the Factors Affecting Cultural Similarity in the Post-Migration Adaptation Process by Geographically Weighted Regression Method: The Case of Van Province
- Presentation Investigation of Migration due to Social Environmental Pressure by Geographical Regression: The Example of Van Province
International research fellowship
Shrinkage and Penalized Estimation Strategies
TÜBİTAK 2214-A · International Research Fellowship Programme for PhD Students
Shrinkage, pretest and penalized estimation strategies for linear and high-dimensional regression.
- Period
- 2013–2014 · 12 months
- Role
- Principal investigator
- Institution
- Brock University · Department of Mathematics and Statistics · Canada
- Funding
- USD 15,600
Completed
Robust Regularization and Gaussian Graphical Models
İnönü University · International Bilateral Cooperation Project
Methodological development for robust penalized estimation and Gaussian graphical models.
- Project no.
- SUA-2019-1629
- Period
- 22 January 2019 – 20 December 2019
- Role
- Principal investigator
- Institution
- University of British Columbia · Department of Statistics · Canada
- Funding
- USD 7,500
Completed
Pretest and Stein-type Estimation in Linear Quantile Regression Models
İnönü University · Scientific Research Project
Development of pretest and Stein-type estimation methods for quantile regression models.
- Project no.
- SBA-2017-946
- Period
- 12 December 2017 – 21 November 2018
- Role
- Principal investigator
- Institution
- İnönü University
Completed
Liu-type Estimation in Linear Regression Models
Necmettin Erbakan University · Scientific Research Project
Investigation of Liu-type estimation approaches under multicollinearity.
- Project no.
- 171215001
- Period
- March 2017 – December 2017
- Role
- Researcher
- Institution
- Necmettin Erbakan University