Faculty

Institution

Unit

Venue

Miloš Žefran

Professor Associate Dean for Faculty Affairs

University of Illinois Chicago

Affiliations

College of Engineering

Electrical and Computer Engineering

Miloš Žefran is currently serving as a College Of Engineering Professor Associate Dean for Faculty Affairs at University of Illinois Chicago.

Honors

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Experiences

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Education

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Miloš Žefran

University of Illinois Chicago

Professor Associate Dean for Faculty Affairs

You can click a keyword to filter the displayed items

robotics systems engineering control systems applied mathematics kinematics machine learning robotics automation automatic control haptic technologies mechanical engineering engineering human movement human robot interaction autonomous robots haptic feedback motor control object manipulation human-computer interaction power electronics control optimization robot control control system technology motion control path planning error correction code mechanics power semiconductor devices multimodal interaction error correction motion synthesis motion planning deep-learned error-correcting codes haptic playback stability nonlinear analysis control engineering gait analysis optimal control computational optimization control design movement analysis robot kinematics rehabilitation robotics cartesian stiffness matrix interpolation schemes computer-aided design vehicular technology friction command and control embodied robotics error analysis industrial robotics automation engineering passive control control technology rigid body motions mechanical control systems grasp taxonomy force distribution noisy measurements hybrid systems faculty perception content validity cybernetics speech processing information technology geometry generation computer-aided engineering nonlinear mechanical system dynamic optimization planning theory controllability bio-inspired robotics biocybernetics rigid-body kinematics nonlinear hybrid systems technology assistive technology surgical robotics runtime monitoring intelligent robotics

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Framework for Automated Dissection Along Tissue Boundary. 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (2024)

Ki-Hwan OhLeonardo BorgioliMiloš ŽefranLiaohai ChenPier Cristoforo Giulianotti

medical imagingtissue boundaryautomated dissectionbiomedical engineering

Chapter 9: AI-Based Technology in Home-Based Care in Aging Societies: Challenges and Opportunities. Handbook of Artificial Intelligence at Work: Interconnections and Policy Implications (2024)

home careai-based technologyassistive technologyelderly carehealth carenursinghome-based carehealth informaticsfamily medicinechapter 9ai healthcaregeriatricsdigital medicinedigital healthhealth technology

Comprehensive Robotic Cholecystectomy Dataset (Crcd): Integrating Kinematics, Pedal Signals, and Endoscopic Videos. 2024 International Symposium on Medical Robotics (ISMR) (2024)

surgerykinematicskinesiologyrobotics automationpedal signalsroboticsmedical robotscomputer-assisted surgeryendoscopic videosgastrointestinal endoscopyrobot-assisted surgery

Comprehensive Robotic Cholecystectomy Dataset (Crcd): Integrating Kinematics, Pedal Signals, and Endoscopic Videos. (2024)

Ki-Hwan OhLeonardo BorgioliAlberto ManganoValentina ValleMarco Di PangrazioFrancesco TotiGioia PozzaLuciano AmbrosiniAlvaro DucasMiloš ŽefranLiaohai ChenPier Cristoforo Giulianotti

surgeryrehabilitationkinematicspedal signalsroboticsrehabilitation roboticsendoscopic videosdata science

Proactive Robot Control for Collaborative Manipulation Using Human Intent. 2024 IEEE International Conference on Robotics and Automation (ICRA) (2024)

robotics automationhumanrobot collaborationroboticssocial roboticsproactive robot controlrobot controlintelligent robothuman robot interaction

Sensory Glove-Based Surgical Robot User Interface. arXiv (Cornell University) (2024)

Borgioli, LeonardoOh, Ki-HwanMangano, AlbertoDucas, AlvaroAmbrosini, LucianoPinto, FedericoLopez, Paula ACassiani, JessicaZefran, MilosChen, LiaohaiGiulianotti, Pier Cristoforo

systems engineeringassistive technologyroboticshuman-machine interfacesuser interfacessensory science

An End-To-End Human Simulator for Task-Oriented Multimodal Human-Robot Collaboration. (2023)

Afagh Mehri ShervedaniSiyu LiNatawut MonaikulBahareh AbbasiBarbara Di EugenioMiloš Žefran

end-to-end human simulatorsystems engineeringrobotics

Decomposing the Training of Deep Learned Turbo Codes via a Feasible Map Decoder. (2023)

A. MulgundN. DevroyeGy. TuránM. Žefran

deep learningturbo codescomputer sciencemachine learning

Interpreting Training Aspects of Deep-Learned Error-Correcting Codes. 2023 IEEE International Symposium on Information Theory (ISIT) (2023)

neural network (machine learning)error correctiondeep learningdeep-learned error-correcting codescomputational intelligenceerror correction codecomputer science

Interpreting Training Aspects of Deep-Learned Error-Correcting Codes. 2022 IEEE International Symposium on Information Theory (ISIT) (2023)

Natasha DevroyeAbhijeet MulgundRaj ShekharGyörgy TuránMilos ŽefranYingyao Zhou

machine learningerror correctiondeep learningdeep-learned error-correcting codeserror correction codecomputer science

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Miloš Žefran

Professor Associate Dean for Faculty Affairs

University of Illinois Chicago

Affiliations

College of Engineering

Electrical and Computer Engineering

Miloš Žefran is currently serving as a College Of Engineering Professor Associate Dean for Faculty Affairs 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

Miloš Žefran

University of Illinois Chicago

Professor Associate Dean for Faculty Affairs

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Framework for Automated Dissection Along Tissue Boundary. 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (2024)

Ki-Hwan OhLeonardo BorgioliMiloš ŽefranLiaohai ChenPier Cristoforo Giulianotti

medical imagingtissue boundaryautomated dissectionbiomedical engineering

Chapter 9: AI-Based Technology in Home-Based Care in Aging Societies: Challenges and Opportunities. Handbook of Artificial Intelligence at Work: Interconnections and Policy Implications (2024)

Comprehensive Robotic Cholecystectomy Dataset (Crcd): Integrating Kinematics, Pedal Signals, and Endoscopic Videos. 2024 International Symposium on Medical Robotics (ISMR) (2024)

surgerykinematicskinesiologyrobotics automationpedal signalsroboticsmedical robotscomputer-assisted surgeryendoscopic videosgastrointestinal endoscopyrobot-assisted surgery

Comprehensive Robotic Cholecystectomy Dataset (Crcd): Integrating Kinematics, Pedal Signals, and Endoscopic Videos. (2024)

Ki-Hwan OhLeonardo BorgioliAlberto ManganoValentina ValleMarco Di PangrazioFrancesco TotiGioia PozzaLuciano AmbrosiniAlvaro DucasMiloš ŽefranLiaohai ChenPier Cristoforo Giulianotti

surgeryrehabilitationkinematicspedal signalsroboticsrehabilitation roboticsendoscopic videosdata science

Proactive Robot Control for Collaborative Manipulation Using Human Intent. 2024 IEEE International Conference on Robotics and Automation (ICRA) (2024)

robotics automationhumanrobot collaborationroboticssocial roboticsproactive robot controlrobot controlintelligent robothuman robot interaction

Sensory Glove-Based Surgical Robot User Interface. arXiv (Cornell University) (2024)

Borgioli, LeonardoOh, Ki-HwanMangano, AlbertoDucas, AlvaroAmbrosini, LucianoPinto, FedericoLopez, Paula ACassiani, JessicaZefran, MilosChen, LiaohaiGiulianotti, Pier Cristoforo

systems engineeringassistive technologyroboticshuman-machine interfacesuser interfacessensory science

An End-To-End Human Simulator for Task-Oriented Multimodal Human-Robot Collaboration. (2023)

Afagh Mehri ShervedaniSiyu LiNatawut MonaikulBahareh AbbasiBarbara Di EugenioMiloš Žefran

end-to-end human simulatorsystems engineeringrobotics

Decomposing the Training of Deep Learned Turbo Codes via a Feasible Map Decoder. (2023)

A. MulgundN. DevroyeGy. TuránM. Žefran

deep learningturbo codescomputer sciencemachine learning

Interpreting Training Aspects of Deep-Learned Error-Correcting Codes. 2023 IEEE International Symposium on Information Theory (ISIT) (2023)

neural network (machine learning)error correctiondeep learningdeep-learned error-correcting codescomputational intelligenceerror correction codecomputer science

Interpreting Training Aspects of Deep-Learned Error-Correcting Codes. 2022 IEEE International Symposium on Information Theory (ISIT) (2023)

Natasha DevroyeAbhijeet MulgundRaj ShekharGyörgy TuránMilos ŽefranYingyao Zhou

machine learningerror correctiondeep learningdeep-learned error-correcting codeserror correction codecomputer science

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human robot interaction

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Farshad Khorrami

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