Faculty

Institution

Unit

Venue

Brian Ziebart

Professor

University of Illinois Chicago

Affiliations

College of Engineering

Computer Science

Brian Ziebart is currently serving as a College Of Engineering Professor at University of Illinois Chicago.

Honors

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Experiences

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Education

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Brian Ziebart

University of Illinois Chicago

Professor

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machine learning computer science data science artificial intelligence machine learning research computational intelligence deep learning computer vision adversarial machine learning cognitive science robotics reinforcement learning behavioral sciences statistical methodology maximum causal entropy ubiquitous computing human-computer interaction machine vision computational statistics pervasive computing supervised learning imitative learning machine intelligence mobile computing classification method context-aware pervasive system intelligent computing covariate shift pervasive computing benchmark wildlife industrial informatics pervasive environment wildlife ecology ubiquitous application planning-based prediction purposeful adaptive behavior inverse optimal control individual locations nearest neighbours collective movement weld inputs air-coupled acoustic emission robust classification mobility animal ecology zoology manufacturing technology advanced manufacturing technologies applied linguistics adaptive behavior autonomous navigation aircraft navigation interaction model target prediction guidance system manufacturing engineering automated manufacturing advanced manufacturing machine learning models information theory pervasive data mobility support mobility analysis semantic processing spoken language processing cognitive linguistics computational lexicology unsupervised machine learning statistical analysis adaptive middleware context model context awareness wild baboons long-term affiliates sample selection bias interacting processes applied artificial intelligence intelligent robot advanced intelligent system robot learning

Notable Scholarly Works

Notable Federal Grants

Collaborators

Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. arXiv (Cornell University) (2024)

Zhou, YueDi Eugenio, BarbaraZiebart, BrianSharp, LisaLiu, BingAgadakos, Nikolaos

task analysisnatural language generationcounseling psychologyexplainable aimental healthnatural language processingneuro-symbolic goal summarizationnlp taskbehavioral scienceshealth technologydigital healthcommunicationcognitive sciencetext-units-text generationdeep learninghealth communication

Towards Enhancing Health Coaching Dialogue in Low-Resource Settings. arXiv (Cornell University) (2024)

Zhou, YueDi Eugenio, BarbaraZiebart, BrianSharp, LisaLiu, BingGerber, BenAgadakos, NikolaosYadav, Shweta

psychiatrylow-resource settingsbehavioral scienceshealth technologydigital healthcommunicationhealth promotionhealth communication

Fairness for Robust Learning to Rank. Lecture notes in computer science (2023)

Omid MemarrastAshkan RezaeiRizal FathonyBrian Ziebart

ranking algorithmsrobust learningcomputer sciencemachine learningfairnesslearning to rank

Robot Learning to Mop Like Humans Using Video Demonstrations. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023)

Sanket GauravAaron CrookesDavid HoyingVignesh NarayanaswamyHarish VenkataramanMatthew BarkerVenugopal VasudevanBrian Ziebart

roboticstechnologyvideo manipulationmachine learningbio-inspired roboticsvideo demonstrationsrobot learningcomputer vision

Risk-Averse Policy Optimization via Risk-Neutral Policy Optimization. Artificial Intelligence (2022)

Lorenzo BisiDavide SantambrogioFederico SandrelliAndrea TirinzoniBrian D. ZiebartMarcello Restelli

risk-averse policy optimizationfinancerisk managementartificial intelligencerisk-neutral policy optimization

A Remote Health Coaching, Text-Based Walking Program in Ethnic Minority Primary Care Patients With Overweight and Obesity: Feasibility and Acceptability Pilot Study. JMIR Formative Research (2021)

Mary H SmartNadia A NabulsiBen S GerberItika GuptaBarbara Di EugenioBrian ZiebartLisa K Sharp

acceptability pilot studyhealth careprimary carerespiratory medicineremote health coachingpublic healthrehabilitationhealth sciencesobesity

Distributionally Robust Imitation Learning. Neural Information Processing Systems (2021)

Mohammad Ali BashiriBrian D ZiebartXinhua Zhang

imitative learningartificial intelligenceneuroscience

Recurrent Neural Networks for Hierarchically Mapping Human-Robot Poses. International Journal of Robotic Computing (2021)

Zainab Al-QurashiBrian D. Ziebart

deep learningbrain mappingcognitive robotics3d pose estimationembodied roboticsroboticscomputer scienceneurosciencehuman-robot posesartificial intelligencecomputer visionintelligent robotics

Robust Fairness Under Covariate Shift. Proceedings of the AAAI Conference on Artificial Intelligence (2021)

Ashkan RezaeiAnqi LiuOmid MemarrastBrian D. Ziebart

covariate shiftcomputational intelligencecomputer sciencerobust fairnessartificial intelligence

Summarizing Behavioral Change Goals From Sms Exchanges to Support Health Coaches. Annual Meeting of the Special Interest Group on Discourse and Dialogue (2021)

Itika GuptaBarbara Di EugenioBrian D. ZiebartBing LiuBen S. GerberLisa K. Sharp

behavioral sciencesbehavioral change goalssms exchangeshealth communication

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Brian Ziebart

Professor

University of Illinois Chicago

Affiliations

College of Engineering

Computer Science

Brian Ziebart is currently serving as a College Of Engineering Professor at University of Illinois Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Brian Ziebart

University of Illinois Chicago

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. arXiv (Cornell University) (2024)

Zhou, YueDi Eugenio, BarbaraZiebart, BrianSharp, LisaLiu, BingAgadakos, Nikolaos

Towards Enhancing Health Coaching Dialogue in Low-Resource Settings. arXiv (Cornell University) (2024)

Zhou, YueDi Eugenio, BarbaraZiebart, BrianSharp, LisaLiu, BingGerber, BenAgadakos, NikolaosYadav, Shweta

psychiatrylow-resource settingsbehavioral scienceshealth technologydigital healthcommunicationhealth promotionhealth communication

Fairness for Robust Learning to Rank. Lecture notes in computer science (2023)

Omid MemarrastAshkan RezaeiRizal FathonyBrian Ziebart

ranking algorithmsrobust learningcomputer sciencemachine learningfairnesslearning to rank

Robot Learning to Mop Like Humans Using Video Demonstrations. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023)

Sanket GauravAaron CrookesDavid HoyingVignesh NarayanaswamyHarish VenkataramanMatthew BarkerVenugopal VasudevanBrian Ziebart

roboticstechnologyvideo manipulationmachine learningbio-inspired roboticsvideo demonstrationsrobot learningcomputer vision

Risk-Averse Policy Optimization via Risk-Neutral Policy Optimization. Artificial Intelligence (2022)

Lorenzo BisiDavide SantambrogioFederico SandrelliAndrea TirinzoniBrian D. ZiebartMarcello Restelli

risk-averse policy optimizationfinancerisk managementartificial intelligencerisk-neutral policy optimization

A Remote Health Coaching, Text-Based Walking Program in Ethnic Minority Primary Care Patients With Overweight and Obesity: Feasibility and Acceptability Pilot Study. JMIR Formative Research (2021)

Mary H SmartNadia A NabulsiBen S GerberItika GuptaBarbara Di EugenioBrian ZiebartLisa K Sharp

acceptability pilot studyhealth careprimary carerespiratory medicineremote health coachingpublic healthrehabilitationhealth sciencesobesity

Distributionally Robust Imitation Learning. Neural Information Processing Systems (2021)

Mohammad Ali BashiriBrian D ZiebartXinhua Zhang

imitative learningartificial intelligenceneuroscience

Recurrent Neural Networks for Hierarchically Mapping Human-Robot Poses. International Journal of Robotic Computing (2021)

Zainab Al-QurashiBrian D. Ziebart

deep learningbrain mappingcognitive robotics3d pose estimationembodied roboticsroboticscomputer scienceneurosciencehuman-robot posesartificial intelligencecomputer visionintelligent robotics

Robust Fairness Under Covariate Shift. Proceedings of the AAAI Conference on Artificial Intelligence (2021)

Ashkan RezaeiAnqi LiuOmid MemarrastBrian D. Ziebart

covariate shiftcomputational intelligencecomputer sciencerobust fairnessartificial intelligence

Summarizing Behavioral Change Goals From Sms Exchanges to Support Health Coaches. Annual Meeting of the Special Interest Group on Discourse and Dialogue (2021)

Itika GuptaBarbara Di EugenioBrian D. ZiebartBing LiuBen S. GerberLisa K. Sharp

behavioral sciencesbehavioral change goalssms exchangeshealth communication

1
2
3
4
5
21
10 / page

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