Faculty

Institution

Unit

Venue

Natasha Devroye

Richard and Loan Hill Professor

University of Illinois Chicago

Affiliations

College of Engineering

Electrical and Computer Engineering

Natasha Devroye is currently serving as a College Of Engineering Richard and Loan Hill Professor at University of Illinois Chicago.

Honors

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Experiences

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Education

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Natasha Devroye

University of Illinois Chicago

Richard and Loan Hill Professor

You can click a keyword to filter the displayed items

communications systems wireless communications communication electrical engineering transmission telecommunication networks computer science cognitive radio signal processing information theory relay network digital signal processing channel capacity estimation networked system design cognitive science network science channel characterization information technology interference cancellation machine learning radio communication communication theory wireless personal communication spectrum management capacity region distributed systems cognitive relay achievable rate regions communication security multi-carrier communication fading channels communication engineering cognitive radio networks multipath exploitation radar interference cognitive interference channel reliability engineering data communications error correction code cognitive radio channels outer bounds awgn channel localization mimo system statistical signal processing error correction radar signal processing cramer-rao bounds mimo relay computer vision synthetic aperture radar electromagnetic compatibility frequency management transmission system covert channels network communication protocols interference channel additive radar interference gaussian interference channels entropy control protocol wave interference error analysis interaction protocol network theory aerospace technology achievable rates adaptation neural scaling law network scale-up method technology scaling mobility protocol aeronautics systems engineering cognitive radio resource management communication architecture software-defined radio

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Learned Codes for Broadcast Channels With Feedback. ICC 2022 - IEEE International Conference on Communications (2025)

telecommunication networkslinear network codingcommunicationbroadcast channelscommunications systemswireless communicationsdigital signal processingneural computationalgebraic coding theorytransmissionsignal processingcomputer science

Unified Receivers for True Swipt for Iot. IEEE Internet of Things Magazine (2025)

telecommunication networkstrue swiptiot protocolcomputer engineeringnetworked system designinternet of thingsiot communication

A Finite Blocklength Analysis of Unequal Bit Protection for the Awgn Channel. ICC 2022 - IEEE International Conference on Communications (2024)

Paul SheldonNatasha DevroyeBesma Smida

side-channel attackstelecommunication networkscommunication securitycomputational electromagneticschannel estimationelectromagnetic compatibilitycommunicationcommunications systemsnetwork communication protocolsunequal bit protectioncommunication engineeringnetworked system designjoint source-channel codingwireless communicationsdigital signal processingawgn channelelectrical engineeringcommunication theoryinformation securityfinite blocklength analysiscomputer science

Higher-Order Interpretations of Deepcode, a Learned Feedback Code. arXiv (Cornell University) (2024)

Zhou, YingyaoDevroye, NatashaTuran, GyorgyZefran, Milos

learned feedback codecomputer sciencemachine learninghigher-order interpretations

Interpreting Deepcode, a Learned Feedback Code. arXiv (Cornell University) (2024)

Zhou, YingyaoDevroye, NatashaTuran, GyorgyZefran, Milos

deep learningcomputer sciencelearned feedback codemachine learning

On the Response Entropy of Apufs. Journal of Hardware and Systems Security (2024)

Vincent DumoulinWenjing RaoNatasha Devroye

materials scienceinformation theoryparticle physicsapplied mathematicsresponse entropy

Active Learning for Fast and Slow Modeling Attacks on Arbiter Pufs. 2022 25th Euromicro Conference on Digital System Design (DSD) (2023)

Vincent DumoulinWenjing RaoN atasha Devroye

machine learningarbiter pufscomputer securityactive learningcomputer science

Apuf Production Line Faults: Uniqueness and Testing. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015 (2023)

Yeqi WeiWenjing RaoNatasha Devroye

reliability engineeringfault managementfault analysisstructural testingelectrical engineeringfault geometries

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

A. MulgundN. DevroyeGy. TuránM. Žefran

deep learningturbo codescomputer sciencemachine learning

Guest Editorial Special Issue on Sensing: Fundamental Limits and Modern Applications. IEEE Journal on Selected Areas in Information Theory (2023)

Giuseppe CaireNatasha DevroyeElza ErkipYue LuPiya PalMahyar ShirvanimoghadamLee SwindelhurstMichael WakinMichèle Wigger

sensor technologytechnologyinformation sciencemodern applicationsinformation theoryembedded sensingsensorsremote sensinginformation technologyfundamental limitssignal processingcomputer sciencejournalism

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Natasha Devroye

Richard and Loan Hill Professor

University of Illinois Chicago

Affiliations

College of Engineering

Electrical and Computer Engineering

Natasha Devroye is currently serving as a College Of Engineering Richard and Loan Hill 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

Natasha Devroye

University of Illinois Chicago

Richard and Loan Hill Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Learned Codes for Broadcast Channels With Feedback. ICC 2022 - IEEE International Conference on Communications (2025)

Unified Receivers for True Swipt for Iot. IEEE Internet of Things Magazine (2025)

telecommunication networkstrue swiptiot protocolcomputer engineeringnetworked system designinternet of thingsiot communication

A Finite Blocklength Analysis of Unequal Bit Protection for the Awgn Channel. ICC 2022 - IEEE International Conference on Communications (2024)

Paul SheldonNatasha DevroyeBesma Smida

Higher-Order Interpretations of Deepcode, a Learned Feedback Code. arXiv (Cornell University) (2024)

Zhou, YingyaoDevroye, NatashaTuran, GyorgyZefran, Milos

learned feedback codecomputer sciencemachine learninghigher-order interpretations

Interpreting Deepcode, a Learned Feedback Code. arXiv (Cornell University) (2024)

Zhou, YingyaoDevroye, NatashaTuran, GyorgyZefran, Milos

deep learningcomputer sciencelearned feedback codemachine learning

On the Response Entropy of Apufs. Journal of Hardware and Systems Security (2024)

Vincent DumoulinWenjing RaoNatasha Devroye

materials scienceinformation theoryparticle physicsapplied mathematicsresponse entropy

Active Learning for Fast and Slow Modeling Attacks on Arbiter Pufs. 2022 25th Euromicro Conference on Digital System Design (DSD) (2023)

Vincent DumoulinWenjing RaoN atasha Devroye

machine learningarbiter pufscomputer securityactive learningcomputer science

Apuf Production Line Faults: Uniqueness and Testing. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015 (2023)

Yeqi WeiWenjing RaoNatasha Devroye

reliability engineeringfault managementfault analysisstructural testingelectrical engineeringfault geometries

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

A. MulgundN. DevroyeGy. TuránM. Žefran

deep learningturbo codescomputer sciencemachine learning

Guest Editorial Special Issue on Sensing: Fundamental Limits and Modern Applications. IEEE Journal on Selected Areas in Information Theory (2023)

Giuseppe CaireNatasha DevroyeElza ErkipYue LuPiya PalMahyar ShirvanimoghadamLee SwindelhurstMichael WakinMichèle Wigger

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10 / page

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information theory

communication security

Qilian Liang

Institution

University of Texas at Arlington

electrical engineering

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embedded system

machine learning

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signal detection

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statistical pattern recognition

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optical communications

quantum communication