Currently, we have in our department nine professors and two associate professors. The main research areas of our faculty: Theoretical statistics, statistical methodology in health and genetics data, bioinformatics, computational statistics, time-series data, and disaster risk and insurance. Following is a partial list of some of the research areas of our faculty. Please see faculty websites for complete lists and further information on research interests and empirical projects.

Name

Research Area

Ayşen DENER AKKAYA
  • Random functions and applications
  • Time series analysis
  • Stochastic processes
  • Risk and decision analysis
  • Stochastic modeling in earthquake engineering
  • Seismic hazard analysis and earthquake insurance
  • Reliability
  • Robust inference
  • Autoregression
Barış SÜRÜCÜ
  • Robust Statistics and Inference
  • Statistical Distributions and Their Applications
  • Goodness-of-Fit Tests, Outlier Detection
  • Decision Support Systems
  • Big Data Analytics
  • Data Science
  • Reliability and Survival Models
  • Survey Design and Sampling
  • Environmental Statistics
  • Financial Statistics
  • Quality Control
  • Circular Statistics
  • Sports Statistics 
Burçak BAŞBUĞ ERKAN
  • Disaster risk management
  • Disaster risk reduction
  • Resilience
  • Disaster and/or development
  • M&E
  • Accountability
  • Insurance
  • Statistics
Ceren VARDAR ACAR
  • Stochastic Processes and Their Path Properties
  • Asymptotical Distributions
  • Extreme Values and Risk Management
  • Financial Mathematics/Statistics
  • Stochastic Population Dynamics
Ceylan TALU YOZGATLIGİL
  • Time Series Analysis: Univariate and Multivariate Methods
  • Temporal Aggregation of Time Series
  • Statistical Inference
  • Spatio-temporal Analysis
  • Survival Analysis and Competing Risks
Fulya GÖKALP YAVUZ
  • Statistical Theory and Applications
  • Linear Mixed Models
  • Parallel Programming
  • Robust Distributions
  • Shrinkage Methods for Model/Variable Selection
  • Machine Learning Methods
  • Statistical Methods in Big Data Applications
  • R Programming
İnci BATMAZ
  • Data Science & Analytics (DS&A)
  • Streaming & Big Data
  • Data Mining (DM)
  • Computational Statistics,
  • Machine Learning
  • Statistical Computing
  • Early Warning System Development
  • Response Surface Methodology (RSM)
  • Metamodeling
  • Design of Experiments (DOE)
  • Statistical Modeling
  • Quality Improvement
  • Environmental Statistics
  • System Simulation
  • Statistical Software Development 
Mohammad Qamarul ISLAM
  • Statistical Inference,
  • Robust Statistical Methods,
  • Nonparametric Methods,
  • Multivariate Analysis,
  • Regression Analysis,
  • Design and Analysis of Experiments,
  • Econometrics
Özlem İLK DAĞ
  • Longitudinal (panel) data
  • Multilevel modeling
  • Interactive (dynamic) graphics
  • Statistical computing
  • Bayesian data analysis
  • Statistics for microarrays 
Vilda PURUTÇUOĞLU
  • Bioinformatics
  • Systems Biology
  • High Dimensional Data
  • Neuroscience
  • Social Statistics.
Zeynep Işıl KALAYLIOĞLU
  • Bayesian statistics,
  • Statistical modeling for health, genetics, biological, and cancer data,
  • Model selection 
  • Directional statistics
  • Missingness not at random.