Emre Ertin
Engineering · The Ohio State University
Publications
175
Citations
4,279
Est. group size
~3
Recurring co-author estimate
Active years
31
Publishing since 1996
Emre Ertin's research focuses on radar imaging and signal processing, particularly synthetic aperture radar (SAR), which uses radar echoes to build detailed images of objects and terrain, often from limited or noisy data. Recent work applies deep learning and generative models (including neural implicit and Gaussian-splatting representations) to reconstruct 3D SAR images, improve resolution, and calibrate radar hardware. A secondary line of work applies sensor and signal-processing methods to mobile health (mHealth) monitoring, such as tracking physical activity and detecting substance use from wearable devices.
Publication output has been fairly steady over the last decade, fluctuating between about 5 and 10 papers per year with no clear long-term increase or decrease.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Neural Implicit Representations for 3D Synthetic Aperture Radar Imaging
Open MIND · 2026
- Neural Implicit Representations for 3D Synthetic Aperture Radar Imaging
arXiv (Cornell University) · 2026
- Differentiable Gaussian Splatting Models of Limited Persistence Scattering in SAR Backscatter Measurements
2025
- Joint Target Recovery and Blind Calibration of Phased-Array Radar using Deep Unrolled Model
2025
- Evaluation of Optimal Epoch Lengths for Real-Time Physical Activity Measurement for mHealth Applications: Cross-Sectional Study (Preprint)
2025
- Deep learning for three dimensional SAR imaging from limited viewing angles
2023
- MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution
2023
- Modeling frequency dependent scattering models for SAR Image Spectrum Extrapolation
2023
- Complex-valued deep-learning model for 3D SAR modeling and image generation
2023
- Sparse Signal Models for Data Augmentation in Deep Learning ATR
Remote Sensing · 2023
- High Resolution MIMO Radar Sensing With Compressive Illuminations
IEEE Transactions on Signal Processing · 2022
- Bayesian Sparse Blind Deconvolution Using MCMC Methods Based on Normal-Inverse-Gamma Prior
IEEE Transactions on Signal Processing · 2022
- Models of anisotropic scattering for 3D SAR reconstruction
2022 IEEE Radar Conference (RadarConf22) · 2022
- CardiacGen: A Hierarchical Deep Generative Model for Cardiac Signals
arXiv (Cornell University) · 2022
- MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution
arXiv (Cornell University) · 2022
- arXiv (Cornell University)×9
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies×2
- IEEE Transactions on Signal Processing×2
- IEEE Pervasive Computing×2
- IEEE Conference Proceedings×2
- Nithin Sugavanam
Engineering · The Ohio State University
- Yu Zhu
Engineering · Purdue University West Lafayette
- Lee C. Potter
Engineering · The Ohio State University
- David Tucker
Engineering · The Ohio State University
- Daniele Perissin
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile