Zafer Dogan
Scholar

Zafer Dogan

Google Scholar ID: -1C0wysAAAAJ
Koç University
Signal ProcessingImage ProcessingInverse ProblemsMachine Learning
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Citations & Impact
All-time
Citations
244
 
H-index
6
 
i10-index
6
 
Publications
20
 
Co-authors
0
 
Publications
6 items
Learnability and Competition in High-Dimensional Multi-Component ICA
2026
Cited
0
Learning Beyond the Gaussian Data: Learning Dynamics of Neural Networks on an Expressive and Cumulant-Controllable Data Model
2026
Cited
0
Benefits of Online Tilted Empirical Risk Minimization: A Case Study of Outlier Detection and Robust Regression
2025
Cited
0
Learning Rate Should Scale Inversely with High-Order Data Moments in High-Dimensional Online Independent Component Analysis
2025
Cited
0
Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models
2025
Cited
0
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure
2025
Cited
0
Resume
Background
  • Currently an Assistant Professor in the Department of Electrical and Electronics Engineering at Koç University
  • Leads the Machine Learning Information Processing (MLIP) research group
  • Serves as Deputy Director of the Koç University İşbank AI (KUIS AI) Research Center
  • Research focuses on the intersection of data analytics, optimization, signal processing, inverse problems, machine learning, and algorithm development
  • Work has strong practical applications in high-dimensional data mining, AI for imaging and vision, and inverse problems in biomedical imaging