Faculty

Institution

Unit

Venue

Emre Ertin

Associate Professor

Ohio State University

Affiliations

College of Engineering

Electrical and Computer Engineering

Emre Ertin is currently serving as a College Of Engineering Associate Professor at Ohio State University.

Honors

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Experiences

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Education

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Emre Ertin

Ohio State University

Associate Professor

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systems engineering machine learning signal processing electrical engineering computer science aerospace engineering remote sensing synthetic aperture radar optical engineering computer vision instrumentation radar digital signal processing radar signal processing sensors mobile sensing sensor technology 3d imaging statistical signal processing health technology sensor signal processing substance use information technology mobile computing information fusion health monitoring earth observation eeg signal processing radio frequency compressive sensing mimo system recovery guarantees respiratory medicine tobacco control distributed sensing parameter estimation sensor suite sonar signal processing mental health monitoring image enhancement aerospace technology aeronautics tobacco policy tobacco use cannabis use signal detection optical information processing transaction processing collision detection large-scale network multi-sensor information fusion natural environment complete circular apertures cocaine use biomedical informatics geophysical research preventive medicine drug analysis addiction medicine clinical investigation experimental medicine psychological assessment environmental psychology sensometrics radar imaging continuous inference psychological stress sensory measurements sparse signal methods high-fidelity sensing sparse reconstruction model order selection anisotropic scattering drug use continuous in-the-field measurement polydrug users behavior monitoring ubiquitous computing mobile health behavioral monitoring data science mobile analytics digital health

Notable Scholarly Works

Notable Federal Grants

Collaborators

Coherent Subtraction of Short Pulsed Radio Frequency Interference: A Case Study. 2022 IEEE Radar Conference (RadarConf22) (2024)

Joel T. JohnsonLee C. PotterEmre ErtinAndrew Harms

electrical engineeringcoherent subtractionradio frequency

Microwave Lymphedema Assessment Using Deep Learning With Contour Assisted Backprojection. 2022 IEEE Radar Conference (RadarConf22) (2024)

Yuyi ChangNithin SugavanamEmre Ertin

health sciencesmedicinedeep learning

Remote Sensing Earth’s Cryosphere With 0.5-2.0 Ghz Microwave Radiometry: Recent Updates. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024)

Joel T. JohnsonKen C. JezekMarco BrogioniLeung TsangCaglar YardimEmre ErtinNithin SugavanamMark AndrewsLars KaleschkeGiovanni MacelloniShujie Wang

microwave remote sensingearth sciencemicrowave technologyearth observationcryosphereremote sensing

Complex-Valued Deep-Learning Model for 3D Sar Modeling and Image Generation. 2014 48th Asilomar Conference on Signals, Systems and Computers (2023)

Nithin SugavanamEmre Ertin

artificial intelligencecomputer sciencesystems engineering3d modelingcomputer visiondeep learning3d computer visioncomplex-valued deep-learning modelimage generationmachine learningaerospace engineering

Deep Learning for Three Dimensional Sar Imaging From Limited Viewing Angles. (2023)

Nithin SugavanamEmre ErtinJan Rainer Jamora

computer sciencecomputer visiondeep learning3d computer vision3d imaginglimited viewing angles

Modeling Frequency Dependent Scattering Models for Sar Image Spectrum Extrapolation. 2022 IEEE Radar Conference (RadarConf22) (2023)

Nithin SugavanamEmre Ertin

remote sensingapplied mathematicsradar image processing

MRSARP: A Hierarchical Deep Generative Prior for Sar Image Super-Resolution. 2022 IEEE Radar Conference (RadarConf22) (2023)

Tushar AgarwalNithin SugavanamEmre Ertin

computer sciencecomputer visiondeep learningsar image super-resolutionhierarchical deep generativemachine learning

Removing Antenna Effects Using an Invertible Neural Network for Improved Estimation of Multilayered Tissue Profiles Using Uwb Radar. (2023)

Yuyi ChangNithin SugavanamEmre Ertin

antenna effectscomputational electromagneticsuwb radarmultilayered tissue profileselectrical engineeringinvertible neural network

Sparse Signal Models for Data Augmentation in Deep Learning Atr. Remote Sensing (2023)

Tushar AgarwalNithin SugavanamEmre Ertin

deep learningsparse signal modelsearth observationremote sensingdata augmentationdata science

Toward Internal Ice-Sheet Temperature Retrieval Using Microwave Radiometry and Simplified Ice-Flow Models. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023)

Nithin SugavanamEmre ErtinCaglar YardimJoel T. JohnsonKen C. JezekJoseph A. MacGregor

climate changeearth sciencemicrowave radiometryenvironmental scienceice-flow modelscryosphereplanetary sciences

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Emre Ertin

Associate Professor

Ohio State University

Affiliations

College of Engineering

Electrical and Computer Engineering

Emre Ertin is currently serving as a College Of Engineering Associate Professor at Ohio State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Emre Ertin

Ohio State University

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Coherent Subtraction of Short Pulsed Radio Frequency Interference: A Case Study. 2022 IEEE Radar Conference (RadarConf22) (2024)

Joel T. JohnsonLee C. PotterEmre ErtinAndrew Harms

electrical engineeringcoherent subtractionradio frequency

Microwave Lymphedema Assessment Using Deep Learning With Contour Assisted Backprojection. 2022 IEEE Radar Conference (RadarConf22) (2024)

Yuyi ChangNithin SugavanamEmre Ertin

health sciencesmedicinedeep learning

Remote Sensing Earth’s Cryosphere With 0.5-2.0 Ghz Microwave Radiometry: Recent Updates. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024)

Joel T. JohnsonKen C. JezekMarco BrogioniLeung TsangCaglar YardimEmre ErtinNithin SugavanamMark AndrewsLars KaleschkeGiovanni MacelloniShujie Wang

microwave remote sensingearth sciencemicrowave technologyearth observationcryosphereremote sensing

Complex-Valued Deep-Learning Model for 3D Sar Modeling and Image Generation. 2014 48th Asilomar Conference on Signals, Systems and Computers (2023)

Nithin SugavanamEmre Ertin

Deep Learning for Three Dimensional Sar Imaging From Limited Viewing Angles. (2023)

Nithin SugavanamEmre ErtinJan Rainer Jamora

computer sciencecomputer visiondeep learning3d computer vision3d imaginglimited viewing angles

Modeling Frequency Dependent Scattering Models for Sar Image Spectrum Extrapolation. 2022 IEEE Radar Conference (RadarConf22) (2023)

Nithin SugavanamEmre Ertin

remote sensingapplied mathematicsradar image processing

MRSARP: A Hierarchical Deep Generative Prior for Sar Image Super-Resolution. 2022 IEEE Radar Conference (RadarConf22) (2023)

Tushar AgarwalNithin SugavanamEmre Ertin

computer sciencecomputer visiondeep learningsar image super-resolutionhierarchical deep generativemachine learning

Removing Antenna Effects Using an Invertible Neural Network for Improved Estimation of Multilayered Tissue Profiles Using Uwb Radar. (2023)

Yuyi ChangNithin SugavanamEmre Ertin

antenna effectscomputational electromagneticsuwb radarmultilayered tissue profileselectrical engineeringinvertible neural network

Sparse Signal Models for Data Augmentation in Deep Learning Atr. Remote Sensing (2023)

Tushar AgarwalNithin SugavanamEmre Ertin

deep learningsparse signal modelsearth observationremote sensingdata augmentationdata science

Toward Internal Ice-Sheet Temperature Retrieval Using Microwave Radiometry and Simplified Ice-Flow Models. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023)

Nithin SugavanamEmre ErtinCaglar YardimJoel T. JohnsonKen C. JezekJoseph A. MacGregor

climate changeearth sciencemicrowave radiometryenvironmental scienceice-flow modelscryosphereplanetary sciences

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14
10 / page

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University of Arizona

pattern recognition

localization

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Institution

Pennsylvania State University

image classification

applied artificial intelligence

Ali Gurbuz

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signal processing

compressive learning

Ram Narayanan

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computer science

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computational imaging

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