Bledar Alexandros Konomi
Scholar

Bledar Alexandros Konomi

Google Scholar ID: lqnGbNkAAAAJ
Associate Professor, Department of Mathematical Sciences, University of Cincinnati
Bayesian StatisticsSpatial StatisticsUncertainty QuantificationStatistical Computing
Citations & Impact
All-time
Citations
366
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published several peer-reviewed publications such as 'Ice Model Calibration Using Semi-continuous Spatial Data' (accepted by Annals of Applied Statistics) and 'Multifidelity Computer Model Emulation with High-Dimensional Output: An Application to Storm Surge' (accepted by Journal of the Royal Statistical Society, Series C (Applied Statistics)). Involved in multiple research projects, including a project funded by the National Science Foundation on 'Inference and Uncertainty Quantification for High Dimensional Systems in Remote Sensing'.
Research Experience
  • Postdoctoral Research Assistant at Pacific Northwest National Laboratory, Richland, WA, from October 20, 2011 to June 20, 2014; Assistant Professor at University of Cincinnati, Cincinnati, Ohio, from August 2014 to August 2020; Associate Professor at University of Cincinnati, Cincinnati, Ohio, from August 2020 to present.
Education
  • PhD in Statistics from Texas A&M University, College Station, 2011; BS in Statistics from Athens University of Economics and Business, Greece, 2005.
Background
  • Research area includes Bayesian statistics, computational methods for large spatial and computer simulation data sets ("big data"), and uncertainty quantification. Primary applications have been in spatial and spatio-temporal statistics, sequential design, computer model calibration, and image analysis.
Co-authors
0 total
Co-authors: 0 (list not available)