Faculty

Institution

Unit

Venue

Ioannis D. Schizas

University of Texas at Arlington

Affiliations

College of Engineering

Electrical Engineering

NoneIoannis D. Schizas is currently serving as a College Of Engineering faculty at University of Texas At Arlington.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ioannis D. Schizas

University of Texas at Arlington

You can click a keyword to filter the displayed items

machine learning data science computer science signal processing electrical engineering systems engineering digital signal processing object tracking clustering wireless sensor networks pattern recognition remote sensing information fusion state estimation dimensionality reduction kernel methods tracking systems image analysis transaction processing statistical signal processing sensor signal processing earth observation data earth observation image denoising sparse representations distributed estimation noisy links power electronics computational imaging synchronization protocol hyperspectral imaging model compression data compression image compression unsupervised machine learning random signals scientific computing wireless communications medical image computing information technology multi-sensor information fusion data fusion applied meteorology ad hoc wsns unsupervised hyperspectral unmixing sparsity-aware matrix decomposition control system technology automatic control smart grid networked system design geographical information science digital earth engineering optimization industrial informatics control optimization distributed processing estimation theory control technology control engineering control science federated learning resilience engineering power engineering optical remote sensing digital geography power system optimization deterministic signals reduced-dimensionality sensor observations recursive least-squares power-efficient dimensionality reduction active distribution systems heterogeneous charging power profile nonlinear autoencoders informative-sensor identification distributed framework

Notable Scholarly Works

Notable Federal Grants

Collaborators

Advancing Internet of Things Through Statistical Pruning of Neural Networks. Lecture notes in electrical engineering (2024)

Chengchen MaoQilian LiangChenyun PanIoannis Schizas

neural networksstatistical pruningelectrical engineeringcomputer scienceinternet of thingsengineering

Online Kernel-Based Clustering. Pattern Recognition (2024)

Abrar AlamAkshay MalhotraIoannis D. Schizas

online algorithmsmachine learningkernel methodsmarkov kerneldata miningunsupervised machine learningdeep learningpattern recognitionmachine learning researchdata scienceapplied mathematicsclusteringknowledge discoverycomputer scienceonline kernel-based clusteringsupport vector machines

A Statistical Approach for Neural Network Pruning With Application to Internet of Things. EURASIP Journal on Wireless Communications and Networking (2023)

Chengchen MaoQilian LiangChenyun PanIoannis Schizas

neural networkstatisticsinternet of thingsmachine learning

Deep Learning in Physical Layer Communications: Evolution and Prospects in 5G and 6G Networks. IET Communications (2023)

Chengchen MaoZongwen MuQilian LiangIoannis SchizasChenyun Pan

5g systemdeep learningphysical layer communicationsnetwork evolutionevolutionary biology

Multimodal Correlations-Based Data Clustering. Foundations of Data Science (2022)

Jia ChenIoannis D. Schizas

data science

Spatial-Aware Hyperspectral Nonlinear Unmixing Autoencoder With Endmember Number Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021)

Kazi Tanzeem ShahidIoannis D. Schizas

planetary sciencesearth observation dataearth observationapplied meteorologyremote sensingimage analysisearth sciencehyperspectral imagingapplied physicsmachine learningendmember number estimation

Unsupervised Hyperspectral Unmixing via Nonlinear Autoencoders. IEEE Transactions on Geoscience and Remote Sensing (2021)

Kazi Tanzeem ShahidIoannis D. Schizas

geographical information scienceunsupervised hyperspectral unmixingnonlinear autoencodersplanetary sciencesearth observation dataearth observationoptical remote sensingdigital earthgeographyremote sensingimage analysisearth sciencehyperspectral imagingdigital geographymachine learning

Online Data Dimensionality Reduction and Reconstruction Using Graph Filtering. IEEE Transactions on Signal Processing (2020)

Ioannis D. Schizas

statistical signal processinggraph filteringgraph processingdimensionality reductiongraph theorystatisticsdata sciencesignal processingcomputer science

On Unsupervised Simultaneous Kernel Learning and Data Clustering. Pattern Recognition (2020)

Akshay MalhotraIoannis D. Schizas

machine learningkernel methodspattern recognitionunsupervised machine learningcomputer science

Unsupervised Mitral Valve Tracking for Disease Detection in Echocardiogram Videos. Journal of Imaging (2020)

Kazi Tanzeem ShahidIoannis Schizas

cardiologycomputational imagingophthalmologybiomedical engineeringobject trackingadvanced imaginghealth monitoringcomputer visiondisease detectionmedical imagingmedical image computingpattern recognitionechocardiographybiomedical imagingmedical image analysismachine learninghealth sciences

1
2
3
4
5
8
10 / page

Ioannis D. Schizas

University of Texas at Arlington

Affiliations

College of Engineering

Electrical Engineering

NoneIoannis D. Schizas is currently serving as a College Of Engineering faculty at University of Texas At Arlington.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ioannis D. Schizas

University of Texas at Arlington

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Advancing Internet of Things Through Statistical Pruning of Neural Networks. Lecture notes in electrical engineering (2024)

Chengchen MaoQilian LiangChenyun PanIoannis Schizas

neural networksstatistical pruningelectrical engineeringcomputer scienceinternet of thingsengineering

Online Kernel-Based Clustering. Pattern Recognition (2024)

Abrar AlamAkshay MalhotraIoannis D. Schizas

A Statistical Approach for Neural Network Pruning With Application to Internet of Things. EURASIP Journal on Wireless Communications and Networking (2023)

Chengchen MaoQilian LiangChenyun PanIoannis Schizas

neural networkstatisticsinternet of thingsmachine learning

Deep Learning in Physical Layer Communications: Evolution and Prospects in 5G and 6G Networks. IET Communications (2023)

Chengchen MaoZongwen MuQilian LiangIoannis SchizasChenyun Pan

5g systemdeep learningphysical layer communicationsnetwork evolutionevolutionary biology

Multimodal Correlations-Based Data Clustering. Foundations of Data Science (2022)

Jia ChenIoannis D. Schizas

data science

Spatial-Aware Hyperspectral Nonlinear Unmixing Autoencoder With Endmember Number Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021)

Kazi Tanzeem ShahidIoannis D. Schizas

planetary sciencesearth observation dataearth observationapplied meteorologyremote sensingimage analysisearth sciencehyperspectral imagingapplied physicsmachine learningendmember number estimation

Unsupervised Hyperspectral Unmixing via Nonlinear Autoencoders. IEEE Transactions on Geoscience and Remote Sensing (2021)

Kazi Tanzeem ShahidIoannis D. Schizas

Online Data Dimensionality Reduction and Reconstruction Using Graph Filtering. IEEE Transactions on Signal Processing (2020)

Ioannis D. Schizas

statistical signal processinggraph filteringgraph processingdimensionality reductiongraph theorystatisticsdata sciencesignal processingcomputer science

On Unsupervised Simultaneous Kernel Learning and Data Clustering. Pattern Recognition (2020)

Akshay MalhotraIoannis D. Schizas

machine learningkernel methodspattern recognitionunsupervised machine learningcomputer science

Unsupervised Mitral Valve Tracking for Disease Detection in Echocardiogram Videos. Journal of Imaging (2020)

Kazi Tanzeem ShahidIoannis Schizas

1
2
3
4
5
8
10 / page

Similar Faculty Members

Randy Moses

Institution

Ohio State University

industrial informatics

radar signal processing

Xiao Fu

Institution

Oregon State University

deep learning

signal processing

Raviv Raich

Institution

Oregon State University

signal processing

computational optimization

Yuejie Chi

Institution

Carnegie Mellon University

signal processing

computational optimization

Kenneth Barner

Institution

University of Delaware

signal sampling

rehabilitation

Ahmet Enis Cetin

Institution

University of Illinois Chicago

deep learning

image classification

Prakash Ishwar

Institution

Boston University

information theory

information forensics

Gonzalo R. Arce

Institution

University of Delaware

computational imaging

statistics

Ram Narayanan

Institution

Pennsylvania State University

signal processing

radar image processing

Jacob Hans Gunther

Institution

Utah State University

signal processing

statistical signal processing

Similar Faculty Members

Randy Moses

Institution

Ohio State University

industrial informatics

radar signal processing

Xiao Fu

Institution

Oregon State University

deep learning

signal processing

Raviv Raich

Institution

Oregon State University

signal processing

computational optimization

Yuejie Chi

Institution

Carnegie Mellon University

signal processing

computational optimization

Kenneth Barner

Institution

University of Delaware

signal sampling

rehabilitation

Ahmet Enis Cetin

Institution

University of Illinois Chicago

deep learning

image classification

Prakash Ishwar

Institution

Boston University

information theory

information forensics

Gonzalo R. Arce

Institution

University of Delaware

computational imaging

statistics

Ram Narayanan

Institution

Pennsylvania State University

signal processing

radar image processing

Jacob Hans Gunther

Institution

Utah State University

signal processing

statistical signal processing