Faculty

Institution

Unit

Venue

Ness Shroff

Professor Ohio Eminent Scholar in Networking and Communication Ohio Eminent Scholar in Computer Science and Engineering Professor of the School of Electrical and Computer Engineering

Ohio State University

Affiliations

College of Engineering

Computer Science and Engineering

Electrical and Computer Engineering

Ness Shroff is currently serving as a College Of Engineering Professor Ohio Eminent Scholar in Networking and Communication Ohio Eminent Scholar in Computer Science and Engineering Professor of the School of Electrical and Computer Engineering at Ohio State University.

Honors

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Experiences

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Education

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Ness Shroff

Ohio State University

Professor Ohio Eminent Scholar in Networking and Communication Ohio Eminent Scholar in Computer Science and Engineering Professor of the School of Electrical and Computer Engineering

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electrical engineering systems engineering computer science wireless communications machine learning communications systems applied mathematics information security scheduling (computing) performance evaluation scheduling problems information technology network optimization network analysis wireless sensor networks energy management computer security mobile computing information theory automatic control control optimization communication security quality-of-service queueing theory multihop wireless networks engineering optimization network management resource allocation distributed systems telecommunication networks mathematical optimization scheduling analysis network security advanced networking computational optimization power control wireless network management multi-hop wireless networks network routing algorithm network routing time delay systems rate control data security wireless security mimo system high-speed networking computational intelligence wireless routing cognitive radio routing protocols admission control stochastic bandits smart grid vehicular technology information management communication engineering spectrum management video processing mobile security encoded video streams stealthy attacks delay analysis delay-optimal scheduling cross-layer optimization congestion control energy-efficient networking multi-hop routing mobile communication wormhole attack sinr model cognitive radio networks throughput guarantees multi-armed bandits supremum distribution wireless cellular networks lifetime constraint algorithmic design stochastic control intelligent computing network science data science large-scale network

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters. arXiv (Cornell University) (2025)

Luo, ZiyueLiu, JiaLee, MyungjinShroff, Ness B.

machine learningdeep learning workloadscheduling (computing)prediction-assisted onlinedeep learningcomputer science

Adversarial Online Reinforcement Learning Under Limited Defender Resources. Advances in information security (2024)

Ming ShiYingbin LiangNess B. Shroff

machine intelligencelimited defender resourcesartificial intelligencereinforcement learninginformation technologyinformation securitymachine learningadversarial machine learningcomputer science

AI‐Edge: An Nsf AI Institute for Future Edge Networks and Distributed Intelligence. AI Magazine (2024)

Peizhong JuChengzhang LiYingbin LiangNess Shroff

computer sciencefuture edge networksartificial intelligencedistributed intelligence

Artificial Intelligence of Things: A Survey. ACM Transactions on Sensor Networks (2024)

Shakhrul Iman SiamHyunho AhnLi LiuSamiul AlamHui ShenZhichao CaoNess ShroffBhaskar KrishnamachariMani SrivastavaMi Zhang

systems engineeringindustrial artificial intelligencemachine learningneural network (machine learning)swarm intelligencenatural computingiot data managementartificial intelligenceintelligent computingintelligent robotic systemsintelligent sensorsintelligent controlintelligent systemsdata sciencecomputational intelligencecomputer scienceinternet of thingsambient intelligence

Balancing Current and Historical State Information in Remote Tracking Systems: A Randomized Update Approach. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2024)

Sunjung KangChengzhang LiAtilla EryilmazNess B. Shroff

information sciencetracking controldata sciencecontrol systemscommunication securityremote sensingremote monitoringstate estimationtracking systemscommunications systemsinformation managementautomatic controlhistorical state informationsystems engineeringwireless sensor networksstate observerinformation technologycomputer scienceinformation fusion

Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?. (2024)

Peizhong JuHaibo YangJia LiuYingbin LiangNess Shroff

generalization performancefederated learningdata sciencelocal updatesmachine learning

Designing Near-Optimal Partially Observable Reinforcement Learning. MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) (2024)

Ming ShiYingbin LiangNess Shroff

systems engineeringmachine learningcontrol optimizationreinforcement learningobservable reinforcement learningalgorithmic learningcomputer science

Efficient Multi-Dimensional Compression for Network-Edge Classification. (2024)

Chengzhang LiPeizhong JuAtilla EryilmazNess Shroff

data compressioncomputer sciencenetwork-edge classificationefficient multi-dimensional compression

Linear Bandits With Side Observations on Networks. IEEE/ACM Transactions on Networking (2024)

Avik KarRahul SinghFang LiuXin LiuNess B. Shroff

linear banditsside observationsnetwork science

Minimizing Edge Caching Service Costs Through Regret-Optimal Online Learning. IEEE/ACM Transactions on Networking (2024)

Guocong QuanAtilla EryilmazNess B. Shroff

communicationonline learningservice costsnetwork optimizationregret-optimal online learningmachine learning

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Ness Shroff

Professor Ohio Eminent Scholar in Networking and Communication Ohio Eminent Scholar in Computer Science and Engineering Professor of the School of Electrical and Computer Engineering

Ohio State University

Affiliations

College of Engineering

Computer Science and Engineering

Electrical and Computer Engineering

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ness Shroff

Ohio State University

Professor Ohio Eminent Scholar in Networking and Communication Ohio Eminent Scholar in Computer Science and Engineering Professor of the School of Electrical and Computer Engineering

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters. arXiv (Cornell University) (2025)

Luo, ZiyueLiu, JiaLee, MyungjinShroff, Ness B.

machine learningdeep learning workloadscheduling (computing)prediction-assisted onlinedeep learningcomputer science

Adversarial Online Reinforcement Learning Under Limited Defender Resources. Advances in information security (2024)

Ming ShiYingbin LiangNess B. Shroff

machine intelligencelimited defender resourcesartificial intelligencereinforcement learninginformation technologyinformation securitymachine learningadversarial machine learningcomputer science

AI‐Edge: An Nsf AI Institute for Future Edge Networks and Distributed Intelligence. AI Magazine (2024)

Peizhong JuChengzhang LiYingbin LiangNess Shroff

computer sciencefuture edge networksartificial intelligencedistributed intelligence

Artificial Intelligence of Things: A Survey. ACM Transactions on Sensor Networks (2024)

Shakhrul Iman SiamHyunho AhnLi LiuSamiul AlamHui ShenZhichao CaoNess ShroffBhaskar KrishnamachariMani SrivastavaMi Zhang

Sunjung KangChengzhang LiAtilla EryilmazNess B. Shroff

Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?. (2024)

Peizhong JuHaibo YangJia LiuYingbin LiangNess Shroff

generalization performancefederated learningdata sciencelocal updatesmachine learning

Designing Near-Optimal Partially Observable Reinforcement Learning. MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) (2024)

Ming ShiYingbin LiangNess Shroff

systems engineeringmachine learningcontrol optimizationreinforcement learningobservable reinforcement learningalgorithmic learningcomputer science

Efficient Multi-Dimensional Compression for Network-Edge Classification. (2024)

Chengzhang LiPeizhong JuAtilla EryilmazNess Shroff

data compressioncomputer sciencenetwork-edge classificationefficient multi-dimensional compression

Linear Bandits With Side Observations on Networks. IEEE/ACM Transactions on Networking (2024)

Avik KarRahul SinghFang LiuXin LiuNess B. Shroff

linear banditsside observationsnetwork science

Minimizing Edge Caching Service Costs Through Regret-Optimal Online Learning. IEEE/ACM Transactions on Networking (2024)

Guocong QuanAtilla EryilmazNess B. Shroff

communicationonline learningservice costsnetwork optimizationregret-optimal online learningmachine learning

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10 / page

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infrastructure security

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