Faculty

Institution

Unit

Venue

Timothy Havens

William and Gloria Jackson Associate Professor

Michigan Technological University

Affiliations

College of Computing

Computer Science

College of Engineering

Electrical and Computer Engineering

Timothy Havens is currently serving as a College Of Computing William and Gloria Jackson Associate Professor at Michigan Technological University.

Honors

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Experiences

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Education

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Timothy Havens

Michigan Technological University

William and Gloria Jackson Associate Professor

You can click a keyword to filter the displayed items

computer science machine learning computer vision data science systems engineering remote sensing fuzzy logic optical engineering artificial intelligence electrical engineering pattern recognition clustering computational intelligence instrumentation signal processing machine vision anomaly detection fuzzy sets kernel methods fuzzy computing fuzzy systems soft computing multiple-criteria decision analysis optical information processing object detection intelligent computing vehicular technology sensor technology feature fusion similarity measure object tracking fuzzy integrals explosive hazard detection decision science information fusion earth observation ontology (information science) forward-looking ground-penetrating radar decision level fusion information technology scientific computing sensor arrays explainable ai fuzzy optimization fuzzy clustering radiation detection information theory deception detection signal detection interval-valued data fuzzy integral forward-looking gpr cybernetics thermal engineering machine learning research disturbance detection transmission system image classification sensor design principal component analysis data fusion data stream mining data streams ontology engineering decision analysis movement analysis approximate kernel k-means fuzzy communities fuzzy community detection community detection color imagery explosive hazards bidirectional subsethood false alarm rejection hot bearings knowledge management

Notable Scholarly Works

Notable Federal Grants

Collaborators

Understanding the Influence of Image Enhancement on Underwater Object Detection: A Quantitative and Qualitative Study. Remote Sensing (2025)

Ashraf SaleemAli AwadSidike PahedingEvan LucasTimothy C. HavensPeter C. Esselman

underwater object detectionunderwater imagingqualitative studycomputer scienceimage enhancementmachine learningunderwater technologiesremote sensingdigital image processingmachine visionimage analysisqualitative interpretationcomputer vision

Comparing Performance of Robot Operating System (Ros) Mapping Algorithms in the Presence of Degraded or Obscured Depth Sensors. (2024)

Steven SenczyszynAnthony J. PinarMohamed SalemElizabeth DonoghueShelby WillsMoira BroestlAdam J. WebbTimothy C. HavensStanton R. Price

robot operating systemroboticssystems engineeringmapping algorithms

Developing Robust Autonomous Vehicles With Ros. (2024)

Dylan J. KangasMohamed SalemKevin LiTyler RyynanenSteven SenczyszynAnthony J. PinarSteven R. PriceStanton PriceStephen TaylorTimothy MurphyTimothy C. Havens

roboticstransportation engineeringsystems engineeringengineering

Generative Eo/Ir Multi-Scale Vision Transformer for Improved Object Detection. (2024)

Jonathan ChristianMax BrightJason SummersAshley OlsonTimothy C. Havens

3d visioncomputer sciencemachine learningcomputer visionremote sensingoptoelectronicsmachine visionobject detectiondeep learning

Machine Learning for Shipwreck Segmentation From Side Scan Sonar Imagery: Dataset and Benchmark. The International Journal of Robotics Research (2024)

Advaith V. SethuramanAnja SheppardOnur BagorenChristopher PinnowJamey AndersonTimothy C. HavensKatherine A. Skinner

oceanographycomputer sciencemachine learningdata scienceremote sensingshipwreck segmentationplanetary sciencescomputer visionbenchmark datasets

Synthetic Augmentation Methods for Object Detection in Infrared Overhead Imagery. (2024)

Nicholas HamiltonAdam WebbMatt WilderBen HendricksonMatthew BlanckErin NelsonWiley RoemerTimothy C. Havens

computer sciencesynthetic augmentation methodsremote sensinginfrared overhead imageryobject detectioncomputer vision

Underwater Simultaneous Enhancement and Super-Resolution Impact Evaluation on Object Detection. (2024)

Ali AwadNusrat ZahanEvan LucasTimothy C. HavensSidike PahedingAshraf Saleem

engineeringimage enhancementunderwater technologiessuper-resolution impact evaluationcomputer vision

A Reference-Free Segmentation Quality Index (Segrefree). (2023)

Evan LucasDylan KangasTimothy Havens

data scienceimage segmentationquality management

Cluster Validity for Fuzzy Text Segmentation. (2023)

Evan LucasTimothy C. Havens

data miningnatural language processingcluster validitymachine learningdata sciencefuzzy logicfuzzy text segmentationinformation retrievaltext segmentation

Gpts Don’t Keep Secrets: Searching for Backdoor Watermark Triggers in Autoregressive Language Models. (2023)

Evan LucasTimothy Havens

cryptographylinguisticsnatural language processingadversarial machine learningmachine learningbackdoor watermark triggersautoregressive language models

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Timothy Havens

William and Gloria Jackson Associate Professor

Michigan Technological University

Affiliations

College of Computing

Computer Science

College of Engineering

Electrical and Computer Engineering

Timothy Havens is currently serving as a College Of Computing William and Gloria Jackson Associate Professor at Michigan Technological 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

Timothy Havens

Michigan Technological University

William and Gloria Jackson Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Understanding the Influence of Image Enhancement on Underwater Object Detection: A Quantitative and Qualitative Study. Remote Sensing (2025)

Ashraf SaleemAli AwadSidike PahedingEvan LucasTimothy C. HavensPeter C. Esselman

Comparing Performance of Robot Operating System (Ros) Mapping Algorithms in the Presence of Degraded or Obscured Depth Sensors. (2024)

Steven SenczyszynAnthony J. PinarMohamed SalemElizabeth DonoghueShelby WillsMoira BroestlAdam J. WebbTimothy C. HavensStanton R. Price

robot operating systemroboticssystems engineeringmapping algorithms

Developing Robust Autonomous Vehicles With Ros. (2024)

Dylan J. KangasMohamed SalemKevin LiTyler RyynanenSteven SenczyszynAnthony J. PinarSteven R. PriceStanton PriceStephen TaylorTimothy MurphyTimothy C. Havens

roboticstransportation engineeringsystems engineeringengineering

Generative Eo/Ir Multi-Scale Vision Transformer for Improved Object Detection. (2024)

Jonathan ChristianMax BrightJason SummersAshley OlsonTimothy C. Havens

3d visioncomputer sciencemachine learningcomputer visionremote sensingoptoelectronicsmachine visionobject detectiondeep learning

Machine Learning for Shipwreck Segmentation From Side Scan Sonar Imagery: Dataset and Benchmark. The International Journal of Robotics Research (2024)

Advaith V. SethuramanAnja SheppardOnur BagorenChristopher PinnowJamey AndersonTimothy C. HavensKatherine A. Skinner

oceanographycomputer sciencemachine learningdata scienceremote sensingshipwreck segmentationplanetary sciencescomputer visionbenchmark datasets

Synthetic Augmentation Methods for Object Detection in Infrared Overhead Imagery. (2024)

Nicholas HamiltonAdam WebbMatt WilderBen HendricksonMatthew BlanckErin NelsonWiley RoemerTimothy C. Havens

computer sciencesynthetic augmentation methodsremote sensinginfrared overhead imageryobject detectioncomputer vision

Underwater Simultaneous Enhancement and Super-Resolution Impact Evaluation on Object Detection. (2024)

Ali AwadNusrat ZahanEvan LucasTimothy C. HavensSidike PahedingAshraf Saleem

engineeringimage enhancementunderwater technologiessuper-resolution impact evaluationcomputer vision

A Reference-Free Segmentation Quality Index (Segrefree). (2023)

Evan LucasDylan KangasTimothy Havens

data scienceimage segmentationquality management

Cluster Validity for Fuzzy Text Segmentation. (2023)

Evan LucasTimothy C. Havens

data miningnatural language processingcluster validitymachine learningdata sciencefuzzy logicfuzzy text segmentationinformation retrievaltext segmentation

Gpts Don’t Keep Secrets: Searching for Backdoor Watermark Triggers in Autoregressive Language Models. (2023)

Evan LucasTimothy Havens

cryptographylinguisticsnatural language processingadversarial machine learningmachine learningbackdoor watermark triggersautoregressive language models

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2
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5
19
10 / page

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signal processing

radar image processing

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Old Dominion University

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pattern recognition

robust fuzzy clustering

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