Faculty

Institution

Unit

Venue

Chandrajit Bajaj

Professor

University of Texas at Austin

Affiliations

College of Natural Sciences

Computer Science

Chandrajit Bajaj is currently serving as a College Of Natural Sciences Professor at University of Texas At Austin.

Honors

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Experiences

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Education

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Chandrajit Bajaj

University of Texas at Austin

Professor

You can click a keyword to filter the displayed items

computer science applied mathematics machine learning computer vision engineering geometric modeling biophysics visualization scientific computing numerical analysis computational geometry structural biology surface science computer-aided design surface modeling numerical simulations biomedical imaging spline (mathematics) geometry processing surface reconstruction geometric interpolation protein science information visualization computational imaging image reconstruction medical image computing finite element methods image compression data compression image segmentation computer graphics 3d imaging 3d computer vision curve modeling 3d reconstruction distributed collaboration mathematical optimization structural molecular biology mathematical biophysics computational biophysics cancer treatment computer-aided engineering surface processing model compression shape modeling molecular surfaces numerical mathematics theoretical biology cancer care cell biophysics experimental biophysics medical biophysics large-scale datasets distributed computing discrete geometry 3d modeling arbitrary triangular meshes mechanical science electronics numerical method for partial differential equation method of fundamental solution shape analysis contour trees small seed sets automatic reconstruction scalar fields transfer function bake-off anisotropic diffusion quality meshing steady-state smoluchowski equation anisotropic vector diffusion laser treatment higher-order level-set method interactive playback volumetric video compression large volume data data and information visualization real-time visualization computational visualization

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

DEBLURSR: Event-Based Motion Deblurring Under the Spiking Representation. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Chen SongChandrajit BajajQixing Huang

machine intelligenceevent-based motionspiking representationartificial intelligencedeep learningcomputational intelligencemachine learningcomputer science

DPO: Differential Reinforcement Learning With Application to Optimal Configuration Search. Research Square (Research Square) (2024)

Chandrajit BajajMinh Nguyen

mathematical optimizationreinforcement learningmachine learningapplied mathematics

Physics-Informed Neural Networks via Stochastic Hamiltonian Dynamics Learning. Lecture notes in networks and systems (2024)

Chandrajit BajajMinh Nguyen

physicsstochastic hamiltonian dynamicsmachine learningphysics-informed neural networks

An Ensemble Technique of Smoteenn and Random Forest for Classification of the Cardiotocography Data. IET conference proceedings. (2023)

R. HephzibahA. H. ChristinalR. JayanthiD. A. ChandyC. Bajaj

random forestclassification methodcardiotocography datapattern recognitiondata classificationensemble techniquehealth sciences

A Novel Ensemble Classifier Framework for Accurate Fetal Heart Rate Classification. (2023)

R. HephzibahA. Hepzibah ChristinalR. JayanthiD. Abraham ChandyChandrajit Bajaj

ensemble algorithmsdata mininghealth informaticsclassification methodclassifier systemsbiostatisticspattern recognitiondata classificationlearning classifier systemmachine learningneurosciencehealth sciences

A Novel Perspective on Brain Tumor Classification Using Hybrid Algorithm. (2023)

R. JayanthiA. Hepzibah ChristinalR. HephzibahT. ShekinahChandrajit BajajD. Abraham Chandy

neurologyhybrid algorithmnovel perspectiveoncologybrain tumor classificationneuroscience

Application of Intelligent Edge Computing and Machine Learning Algorithms in Mbti Personality Prediction. Elsevier eBooks (2023)

J. Anila SharonA. Hepzibah ChristinalD. Abraham ChandyChandrajit Bajaj

intelligent edge computingmachine learningmbti personality predictionpsychology

Deep Contrastive Patch-Based Subspace Learning for Camera Image Signal Processing. 2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (2023)

Yunhao YangYi WangChandrajit Bajaj

deep learningcomputer sciencecomputer vision

Recipes for When Physics Fails: Recovering Robust Learning of Physics Informed Neural Networks. Machine Learning Science and Technology (2023)

Chandrajit BajajLuke McLennanTimothy AndeenAvik Roy

physicsmachine learningrobust learning

Reinforcement Learning of Self-Enhancing Camera Image and Signal Processing. Lecture notes in networks and systems (2023)

Chandrajit BajajYunhao YangYi Wang

systems engineeringself-enhancing camera imagecomputer visionreinforcement learningnetwork sciencesignal processingcomputer science

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Chandrajit Bajaj

Professor

University of Texas at Austin

Affiliations

College of Natural Sciences

Computer Science

Chandrajit Bajaj is currently serving as a College Of Natural Sciences Professor at University of Texas At Austin.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Chandrajit Bajaj

University of Texas at Austin

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

DEBLURSR: Event-Based Motion Deblurring Under the Spiking Representation. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Chen SongChandrajit BajajQixing Huang

machine intelligenceevent-based motionspiking representationartificial intelligencedeep learningcomputational intelligencemachine learningcomputer science

DPO: Differential Reinforcement Learning With Application to Optimal Configuration Search. Research Square (Research Square) (2024)

Chandrajit BajajMinh Nguyen

mathematical optimizationreinforcement learningmachine learningapplied mathematics

Physics-Informed Neural Networks via Stochastic Hamiltonian Dynamics Learning. Lecture notes in networks and systems (2024)

Chandrajit BajajMinh Nguyen

physicsstochastic hamiltonian dynamicsmachine learningphysics-informed neural networks

An Ensemble Technique of Smoteenn and Random Forest for Classification of the Cardiotocography Data. IET conference proceedings. (2023)

R. HephzibahA. H. ChristinalR. JayanthiD. A. ChandyC. Bajaj

random forestclassification methodcardiotocography datapattern recognitiondata classificationensemble techniquehealth sciences

A Novel Ensemble Classifier Framework for Accurate Fetal Heart Rate Classification. (2023)

R. HephzibahA. Hepzibah ChristinalR. JayanthiD. Abraham ChandyChandrajit Bajaj

A Novel Perspective on Brain Tumor Classification Using Hybrid Algorithm. (2023)

R. JayanthiA. Hepzibah ChristinalR. HephzibahT. ShekinahChandrajit BajajD. Abraham Chandy

neurologyhybrid algorithmnovel perspectiveoncologybrain tumor classificationneuroscience

Application of Intelligent Edge Computing and Machine Learning Algorithms in Mbti Personality Prediction. Elsevier eBooks (2023)

J. Anila SharonA. Hepzibah ChristinalD. Abraham ChandyChandrajit Bajaj

intelligent edge computingmachine learningmbti personality predictionpsychology

Deep Contrastive Patch-Based Subspace Learning for Camera Image Signal Processing. 2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (2023)

Yunhao YangYi WangChandrajit Bajaj

deep learningcomputer sciencecomputer vision

Recipes for When Physics Fails: Recovering Robust Learning of Physics Informed Neural Networks. Machine Learning Science and Technology (2023)

Chandrajit BajajLuke McLennanTimothy AndeenAvik Roy

physicsmachine learningrobust learning

Reinforcement Learning of Self-Enhancing Camera Image and Signal Processing. Lecture notes in networks and systems (2023)

Chandrajit BajajYunhao YangYi Wang

systems engineeringself-enhancing camera imagecomputer visionreinforcement learningnetwork sciencesignal processingcomputer science

1
2
3
4
5
35
10 / page

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