Faculty

Institution

Unit

Venue

Serap Savari

Associate Professor Electrical & Computer Engineering

Texas A&M University

Affiliations

College of Engineering

Electrical and Computer Engineering

Serap Savari is currently serving as a College Of Engineering Associate Professor Electrical & Computer Engineering at Texas A&M University.

Honors

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Experiences

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Education

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Serap Savari

Texas A&M University

Associate Professor Electrical & Computer Engineering

You can click a keyword to filter the displayed items

computer science electrical engineering materials science information theory mechanical engineering network science communications systems image compression deep learning communication theory information technology lossless compression data compression variable-to-fixed length codes digital signal processing algebraic coding theory variable-length code micro technology natural language processing information science signal processing manufacturing science relay network optical engineering error correction code sem images entropy computational imaging precision engineering manufacturing technology network theory image coding multicast time complexity concurrency theory network management nanolithography method network routing algorithm two-way channels predictable sources maskless lithography systems multicast sessions programming languages networked system design distributed systems discrete algorithms wireless communications parallel programming high performance computer architecture microarchitecture composite science material research information flow string processing matching technique string-searching algorithm computational complexity theory model compression algorithmic information theory network algorithms micro-electromechanical systems chain code supervised learning code representation abstract interpretation network optimization edge-cut bounds tunstall codes asynchronous iterative algorithms finite termination line roughness estimation poisson denoising varn coding combinatorial study noiseless communication progressive d-separating edge computational paradigm technology computational thinking memetic computing computational intelligence machine learning

Notable Scholarly Works

Notable Federal Grants

Collaborators

On Uses of Noise Analysis for the Uncertainty Quantification of Line Edge Roughness Estimation. IEEE Transactions on Semiconductor Manufacturing (2023)

Inimfon I. AkpabioSerap A. Savari

noise analysissemiconductor technologyindustrial electronicsmanufacturing scienceprinted electronicsmicroelectronicsmanufacturing technologysolid-state electronicsmaterials sciencesemiconductorsuncertainty quantificationelectronicselectrical engineeringmanufacturing engineeringmechanical engineeringmanufacturing

On an Application of Denoising to the Uncertainty Quantification of Line Edge Roughness Estimation. (2022)

Inimfon I. AkpabioSerap A. Savari

image denoisingmaterials scienceapplied mathematicsuncertainty quantification

Special Section Guest Editorial: Manufacturing Data Analytics. Journal of Micro/Nanopatterning Materials and Metrology (2022)

Bertrand Le-GratietSerap A. Savari

automated manufacturingengineeringnanomaterialsadvanced manufacturingmanufacturing sciencetechnologymanufacturing data analyticsmaterials sciencemicro technologynanotechnologynanomanufacturingmanufacturing

Uncertainty Quantification of Machine Learning Models: On Conformal Prediction. Journal of Micro/Nanopatterning Materials and Metrology (2021)

Inimfon I. AkpabioSerap A. Savari

conformal predictionnanomaterialscomposite sciencematerial researchmaterials engineeringmachine learningnanometrologymaterials scienceapplied physicsuncertainty quantificationnanotechnologymechanical engineering

Increasing the Utilization of Deep Neural Networks for Sem Measurements Through Multiple Task Formulation and Visualization. IEEE Transactions on Semiconductor Manufacturing (2020)

Narendra ChaudharySerap A. Savari

multiple task formulationsemiconductor technologymanufacturing sciencecomputer sciencemanufacturing technologymaterials sciencesemiconductorssem measurementselectrical engineeringdeep learningmanufacturing

Sem Image Denoising and Contour Image Estimation Using Deep Learning. (2020)

Narendra ChaudharySerap A. SavariVarvara BrackmannMichael Friedrich

sem image denoisingmachine learningmaterials sciencecontour image estimationimage denoisingdeep learningmechanical engineering

Line Roughness Estimation and Poisson Denoising in Scanning Electron Microscope Images Using Deep Learning. Journal of Micro/Nanolithography MEMS and MOEMS (2019)

Narendra ChaudharySerap A. SavariSai S. Yeddulapalli

line roughness estimationpoisson denoisingmaterials sciencedeep learningmechanical engineering

Simultaneous Denoising and Edge Estimation From Sem Images Using Deep Convolutional Neural Networks. (2019)

Narendra ChaudharySerap A. Savari

computer sciencemachine learningsem imagessimultaneous denoisingcomputer visionmaterials scienceedge estimationdeep learningmechanical engineering

Towards a Visualization of Deep Neural Networks for Rough Line Images. (2019)

Narendra ChaudharySerap A. Savari

network visualizationscomputer sciencemachine learningcomputer visionvisualizationrough line imagesdeep neural networksdeep learning

Automated Rough Line-Edge Estimation From Sem Images Using Deep Convolutional Neural Networks. (2018)

Narendra ChaudharySerap A. SavariSai Swaroop Yeddulapalli

computer sciencemachine learningsem imagescomputer visionmaterials sciencerough line-edge estimationdeep learningmechanical engineering

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Serap Savari

Associate Professor Electrical & Computer Engineering

Texas A&M University

Affiliations

College of Engineering

Electrical and Computer Engineering

Serap Savari is currently serving as a College Of Engineering Associate Professor Electrical & Computer Engineering at Texas A&M 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

Serap Savari

Texas A&M University

Associate Professor Electrical & Computer Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

On Uses of Noise Analysis for the Uncertainty Quantification of Line Edge Roughness Estimation. IEEE Transactions on Semiconductor Manufacturing (2023)

Inimfon I. AkpabioSerap A. Savari

On an Application of Denoising to the Uncertainty Quantification of Line Edge Roughness Estimation. (2022)

Inimfon I. AkpabioSerap A. Savari

image denoisingmaterials scienceapplied mathematicsuncertainty quantification

Special Section Guest Editorial: Manufacturing Data Analytics. Journal of Micro/Nanopatterning Materials and Metrology (2022)

Bertrand Le-GratietSerap A. Savari

Uncertainty Quantification of Machine Learning Models: On Conformal Prediction. Journal of Micro/Nanopatterning Materials and Metrology (2021)

Inimfon I. AkpabioSerap A. Savari

Increasing the Utilization of Deep Neural Networks for Sem Measurements Through Multiple Task Formulation and Visualization. IEEE Transactions on Semiconductor Manufacturing (2020)

Narendra ChaudharySerap A. Savari

Sem Image Denoising and Contour Image Estimation Using Deep Learning. (2020)

Narendra ChaudharySerap A. SavariVarvara BrackmannMichael Friedrich

sem image denoisingmachine learningmaterials sciencecontour image estimationimage denoisingdeep learningmechanical engineering

Line Roughness Estimation and Poisson Denoising in Scanning Electron Microscope Images Using Deep Learning. Journal of Micro/Nanolithography MEMS and MOEMS (2019)

Narendra ChaudharySerap A. SavariSai S. Yeddulapalli

line roughness estimationpoisson denoisingmaterials sciencedeep learningmechanical engineering

Simultaneous Denoising and Edge Estimation From Sem Images Using Deep Convolutional Neural Networks. (2019)

Narendra ChaudharySerap A. Savari

computer sciencemachine learningsem imagessimultaneous denoisingcomputer visionmaterials scienceedge estimationdeep learningmechanical engineering

Towards a Visualization of Deep Neural Networks for Rough Line Images. (2019)

Narendra ChaudharySerap A. Savari

network visualizationscomputer sciencemachine learningcomputer visionvisualizationrough line imagesdeep neural networksdeep learning

Automated Rough Line-Edge Estimation From Sem Images Using Deep Convolutional Neural Networks. (2018)

Narendra ChaudharySerap A. SavariSai Swaroop Yeddulapalli

computer sciencemachine learningsem imagescomputer visionmaterials sciencerough line-edge estimationdeep learningmechanical engineering

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Similar Faculty Members

Zixiang Xiong

Institution

Texas A&M University

distributed source coding

computer engineering

Michael W. Marcellin

Institution

University of Arizona

data compression

signal processing

Paul Franzon

Institution

North Carolina State University

computer engineering

physical electronics

Samuel Cheng

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cancer diagnosis

data compression

Joerg Kliewer

Institution

New Jersey Institute of Technology

signal processing

error control technique

Yingtao Jiang

Institution

University of Nevada, Las Vegas

computer architecture

integrated circuit

Jafar Saniie

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industrial informatics

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University of Arizona

optical communication systems

signal processing

Aylin Yener

Institution

Ohio State University

information security

smart environments

Keith Michael Chugg

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University of Southern California

industrial informatics

signal detection