Faculty

Institution

Unit

Venue

Thomas Stahovich

Professor

University of California, Riverside

Affiliations

Bourns College of Engineering

Mechanical Engineering

Thomas Stahovich is currently serving as a Bourns College Of Engineering Professor at University of California, Riverside.

Honors

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Experiences

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Education

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Thomas Stahovich

University of California, Riverside

Professor

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design computer science machine learning learning analytics engineering computer vision pattern recognition artificial intelligence design automation sketch-based modeling design thinking human-computer interaction design theory computational intelligence educational assessment intelligent tutoring systems computer engineering design research software design computer-aided design educational psychology intelligent user interfaces student learning machine vision graphic interface machine learning research automated reasoning code refactoring engineering design process educational data mining learning problems engineering course diagrammatic reasoning gesture recognition design reuse sensor design sensor technology character recognition handwriting philosophy of engineering sketch-based interfaces intelligent computing software maintenance medical image computing image representation object recognition generative design advanced design design space exploration interactive learning graph processing image segmentation shape analysis modeling notation gesture processing sensor applications chemical actuator automated assessment hand-drawn sketches hand-drawn diagrams computerized planning classification accuracy mechanical devices generative development procedural generation software re-engineering model-based software development trainable symbol recognizer domain knowledge managing design changes force-field analogy multiprobe cryosurgery pen-based tutoring system hand-drawn symbols hierarchical parsing hand-sketched diagrams mechanical engineering

Notable Scholarly Works

Notable Federal Grants

Collaborators

Enhancing Room-Temperature Gas Sensing Performance of Metal Oxide Semiconductor Chemiresistors Through 400 Nm Uv Photoexcitation. Sensors and Actuators Reports (2024)

Suporna PaulEmily Resendiz MendozaDung Thi Hanh ToThomas F. StahovichJennifer SchaeferNosang V. Myung

gas sensorsmaterials sciencetechnologyengineeringinstrumentationsensor applicationsoptoelectronicssensor designsensorschemical actuatorsensor technology

Room Temperature Hydrogen Sulfide Gas Detection Using Copper Oxide Nanotube/Indium Tin Oxide Nanoparticle Heterojunctions. Sensors and Actuators Reports (2024)

Suporna PaulEmily Resendiz MendozaDung Thi Hanh ToThien Toan TranThomas StahovichJennifer SchaeferNosang V. Myung

nanotechnologytechnologynanoparticle heterojunctionsmechanical engineeringsensorsnanoparticle researchsensor applicationselectroanalytical chemistrynanosensorschemical actuatormaterials sciencenanoparticlesmechanical sciencenanomaterialsinstrumentationsensor designprecision engineeringsensor technologycontrol system technology

Enhancing Gas Sensing Performance of Tungsten Trioxide (Wo3) Nanofibers Through Diameter and Crystallinity Control. Sensors and Actuators Reports (2023)

Bingxin YangThien-Toan TranJoAnna Milam-GuerreroDung T. ToThomas StahovichNosang V. Myung

materials sciencenanotechnologytungsten trioxidecrystallinity controlinstrumentationsensor designsensor technology

A Pen-Based Statics Tutoring System. (2020)

computer sciencecomputing educationlearning scienceseducationprogramming language teachingintelligent tutoring systemsintelligent user interfacesuser interfacesinteractive learningeducational technologyspecial education technologyinteraction designlearning analytics

Automatically Understanding Handwritten Self-Explanations. (2020)

self-supervised learningcomputer sciencecomputational intelligencenatural language generationlanguage modelsexplanation-based learningnatural language processingcognitive scienceexplainable aimachine intelligenceartificial intelligencecomputational linguisticsautomated reasoninghandwritten self-explanations

Automatic Handwritten Statics Solution Classification and Its Applications in Predicting Student Performance. (2020)

educational data miningcomputer scienceperformance evaluationcomputational intelligencepattern recognitionintelligent tutoring systemslearning problemsmachine learningautomated assessmentdata scienceeducational assessmentartificial intelligencedata miningmachine learning researchstudent performancelearning analytics

Characterizing Students Handwritten Self-Explanations. (2020)

computing educationlearning problemslearning scienceseducationintelligent tutoring systemsexplanation-based learningcognitive sciencemathematics educationstudents handwritten self-explanationseducational technology

Does Neatness Count? What the Organization of Student Work Says About Understanding. (2020)

does neatness counthigher educationlearning scienceseducationeducational strategieseducational psychologythinking skillsstudent workpsychologystudent-centered learningeducational theorystudent learningundergraduate researcheducational researchwork-integrated learningexperiential learning

Finding and Segmenting Mathematical Equations in Students’ Online Handwritten Assignments. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2020)

learning problemseducationintelligent tutoring systemscomputational mathematicsonline learningsegmenting mathematical equationsmathematics teacher educationmathematics educationeducational technologymathematicslearning analytics

Priming Productive Study Strategies With Preparatory Quizzes in an Engineering Course. Applied Cognitive Psychology (2020)

Justin G. GyllenThomas F. StahovichRichard E. MayerNegin EntezariAmirali Darvishzadeh

preparatory quizzescognitive psychologyapplied cognitive psychologyeducational psychologyproductive study strategiescognitive scienceengineering educationengineering course

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Thomas Stahovich

Professor

University of California, Riverside

Affiliations

Bourns College of Engineering

Mechanical Engineering

Thomas Stahovich is currently serving as a Bourns College Of Engineering Professor at University of California, Riverside.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Thomas Stahovich

University of California, Riverside

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Enhancing Room-Temperature Gas Sensing Performance of Metal Oxide Semiconductor Chemiresistors Through 400 Nm Uv Photoexcitation. Sensors and Actuators Reports (2024)

Suporna PaulEmily Resendiz MendozaDung Thi Hanh ToThomas F. StahovichJennifer SchaeferNosang V. Myung

gas sensorsmaterials sciencetechnologyengineeringinstrumentationsensor applicationsoptoelectronicssensor designsensorschemical actuatorsensor technology

Room Temperature Hydrogen Sulfide Gas Detection Using Copper Oxide Nanotube/Indium Tin Oxide Nanoparticle Heterojunctions. Sensors and Actuators Reports (2024)

Suporna PaulEmily Resendiz MendozaDung Thi Hanh ToThien Toan TranThomas StahovichJennifer SchaeferNosang V. Myung

Enhancing Gas Sensing Performance of Tungsten Trioxide (Wo3) Nanofibers Through Diameter and Crystallinity Control. Sensors and Actuators Reports (2023)

Bingxin YangThien-Toan TranJoAnna Milam-GuerreroDung T. ToThomas StahovichNosang V. Myung

materials sciencenanotechnologytungsten trioxidecrystallinity controlinstrumentationsensor designsensor technology

A Pen-Based Statics Tutoring System. (2020)

Automatically Understanding Handwritten Self-Explanations. (2020)

Automatic Handwritten Statics Solution Classification and Its Applications in Predicting Student Performance. (2020)

Characterizing Students Handwritten Self-Explanations. (2020)

Does Neatness Count? What the Organization of Student Work Says About Understanding. (2020)

Finding and Segmenting Mathematical Equations in Students’ Online Handwritten Assignments. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2020)

Priming Productive Study Strategies With Preparatory Quizzes in an Engineering Course. Applied Cognitive Psychology (2020)

Justin G. GyllenThomas F. StahovichRichard E. MayerNegin EntezariAmirali Darvishzadeh

preparatory quizzescognitive psychologyapplied cognitive psychologyeducational psychologyproductive study strategiescognitive scienceengineering educationengineering course

1
2
3
4
5
10
10 / page

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