Faculty

Institution

Unit

Venue

Sriram Vishwanath

Professor

University of Texas at Austin

Affiliations

Cockrell School of Engineering

Chandra Family Department of Electrical and Computer Engineering

Sriram Vishwanath is currently serving as a Chandra Electrical And Computer Engineering Professor at University of Texas At Austin.

Honors

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Experiences

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Education

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Sriram Vishwanath

University of Texas at Austin

Professor

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electrical engineering computer science communications systems systems engineering wireless communications machine learning communication information theory signal processing computer security information security cognitive radio digital signal processing information technology communication security vehicular technology beamforming mimo system transmission millimeter wave technology communication theory channel capacity estimation blockchain radio communication distributed storage communication engineering vehicle technology power grids data security fading channels network routing distributed storage systems repairable codes rank-metric codes power electronics networked system design mathematical optimization multi-carrier communication internet of vehicles modulation techniques crowdsourcing data compression compressive sensing network routing algorithm polar coding secrecy capacity opportunistic relay selection fundamental limits achievable rates degraded message sets rate bounds mimo relay channels automatic control microwave technology lightwave technology internet economics radio access protocol image compression automotive electronics channel estimation gaussian analysis medium access control computability theory scheduling problems supervised learning optical wireless communication routing protocols confidentiality adaptive modulation multiplexing multi-cell tdd systems covariance feedback interference channels advanced manufacturing technologies manufacturing science manufacturing technology multi-terminal information theory joint source-channel coding linear network coding

Notable Scholarly Works

Notable Federal Grants

Collaborators

CONTROLPAY: An Adaptive Payment Controller for Blockchain Economies. (2024)

Oguzhan AkcinRobert P. StreitBenjamin OommenSriram VishwanathSandeep Chinchali

blockchain scalabilitypayment systemsblockchainblockchain economiesblockchain protocolseconomicsadaptive payment controller

IDOL: Incentivized Decentralized Opportunistic Learning. (2024)

Haoxiang YuHsiao-Yuan ChenSangsu LeeSriram VishwanathXi ZhengChristine Julien

opportunistic networksopportunistic learningeducation

MULTITOK: Variable-Length Tokenization for Efficient Llms Adapted From Lzw Compression. arXiv (Cornell University) (2024)

Elias, NoelEsfahanizadeh, HomaKale, KaanVishwanath, SriramMedard, Muriel

efficient llmsvariable-length tokenizationdata compressionlzw compressioncomputer science

TEXSHAPE: Information Theoretic Sentence Embedding for Language Models. 2022 IEEE International Symposium on Information Theory (ISIT) (2024)

Kaan KaleHoma EsfahanizadehNoel EliasOguzhan BaserMuriel MédardSriram Vishwanath

computational linguisticsinformation theorylinguistics

IDML: Incentivized Decentralized Machine Learning. arXiv (Cornell University) (2023)

Yu, HaoxiangChen, Hsiao-YuanLee, SangsuVishwanath, SriramZheng, XiJulien, Christine

computer sciencemachine learning

LONESTAR: Analog Beamforming Codebooks for Full-Duplex Millimeter Wave Systems. IEEE Transactions on Wireless Communications (2023)

Ian P. RobertsSriram VishwanathJeffrey G. Andrews

beamformingdigital signal processingelectrical engineeringapplied physicsmillimeter wave technology

Majority is Not Required: A Rational Analysis of the Private Double-Spend Attack From a Sub-Majority Adversary. arXiv (Cornell University) (2023)

Georghiades, YanniMishra, RajeshKreder, KarlVishwanath, Sriram

blockchaincomputer securityrational analysissub-majority adversaryprivate double-spend attackadversarial machine learninginformation securitycomputer scienceinternet of things

Model-Free Reinforcement Learning for Mean Field Games. IEEE Transactions on Control of Network Systems (2023)

Rajesh MishraDeepanshu VasalSriram Vishwanath

machine learningmathematical optimizationmathematical control theorycontrol optimizationreinforcement learningautomatic controlapplied mathematicscomputer science

Spatial and Statistical Modeling of Multi-Panel Millimeter Wave Self-Interference. IEEE Journal on Selected Areas in Communications (2023)

Ian P. RobertsAditya ChopraThomas NovlanSriram VishwanathJeffrey G. Andrews

multi-panel millimetersystems engineeringcommunicationcommunications systemselectrical engineering

Achieving Almost All Blockchain Functionalities With Polylogarithmic Storage. Lecture notes in computer science (2022)

Parikshit HegdeRobert StreitYanni GeorghiadesChaya GaneshSriram Vishwanath

blockchainblockchain functionalitiescomputing educationcomputer scienceinternet of thingspolylogarithmic storage

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Sriram Vishwanath

Professor

University of Texas at Austin

Affiliations

Cockrell School of Engineering

Chandra Family Department of Electrical and Computer Engineering

Sriram Vishwanath is currently serving as a Chandra Electrical And Computer Engineering Professor at University of Texas At Austin.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Sriram Vishwanath

University of Texas at Austin

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

CONTROLPAY: An Adaptive Payment Controller for Blockchain Economies. (2024)

Oguzhan AkcinRobert P. StreitBenjamin OommenSriram VishwanathSandeep Chinchali

blockchain scalabilitypayment systemsblockchainblockchain economiesblockchain protocolseconomicsadaptive payment controller

IDOL: Incentivized Decentralized Opportunistic Learning. (2024)

Haoxiang YuHsiao-Yuan ChenSangsu LeeSriram VishwanathXi ZhengChristine Julien

opportunistic networksopportunistic learningeducation

MULTITOK: Variable-Length Tokenization for Efficient Llms Adapted From Lzw Compression. arXiv (Cornell University) (2024)

Elias, NoelEsfahanizadeh, HomaKale, KaanVishwanath, SriramMedard, Muriel

efficient llmsvariable-length tokenizationdata compressionlzw compressioncomputer science

TEXSHAPE: Information Theoretic Sentence Embedding for Language Models. 2022 IEEE International Symposium on Information Theory (ISIT) (2024)

Kaan KaleHoma EsfahanizadehNoel EliasOguzhan BaserMuriel MédardSriram Vishwanath

computational linguisticsinformation theorylinguistics

IDML: Incentivized Decentralized Machine Learning. arXiv (Cornell University) (2023)

Yu, HaoxiangChen, Hsiao-YuanLee, SangsuVishwanath, SriramZheng, XiJulien, Christine

computer sciencemachine learning

LONESTAR: Analog Beamforming Codebooks for Full-Duplex Millimeter Wave Systems. IEEE Transactions on Wireless Communications (2023)

Ian P. RobertsSriram VishwanathJeffrey G. Andrews

beamformingdigital signal processingelectrical engineeringapplied physicsmillimeter wave technology

Majority is Not Required: A Rational Analysis of the Private Double-Spend Attack From a Sub-Majority Adversary. arXiv (Cornell University) (2023)

Georghiades, YanniMishra, RajeshKreder, KarlVishwanath, Sriram

blockchaincomputer securityrational analysissub-majority adversaryprivate double-spend attackadversarial machine learninginformation securitycomputer scienceinternet of things

Model-Free Reinforcement Learning for Mean Field Games. IEEE Transactions on Control of Network Systems (2023)

Rajesh MishraDeepanshu VasalSriram Vishwanath

machine learningmathematical optimizationmathematical control theorycontrol optimizationreinforcement learningautomatic controlapplied mathematicscomputer science

Spatial and Statistical Modeling of Multi-Panel Millimeter Wave Self-Interference. IEEE Journal on Selected Areas in Communications (2023)

Ian P. RobertsAditya ChopraThomas NovlanSriram VishwanathJeffrey G. Andrews

multi-panel millimetersystems engineeringcommunicationcommunications systemselectrical engineering

Achieving Almost All Blockchain Functionalities With Polylogarithmic Storage. Lecture notes in computer science (2022)

Parikshit HegdeRobert StreitYanni GeorghiadesChaya GaneshSriram Vishwanath

blockchainblockchain functionalitiescomputing educationcomputer scienceinternet of thingspolylogarithmic storage

1
2
3
4
5
28
10 / page

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signal processing

localization

IEEE Naofal Aldhahir

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mobile communication vehicle

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