Faculty

Institution

Unit

Venue

Aniruddha S Gokhale

Professor of Computer Science Professor of Computer Engineering

Vanderbilt University

Affiliations

School of Engineering

Electrical and Computer Engineering

Aniruddha S Gokhale is currently serving as an Electrical And Computer Engineering Professor of Computer Science Professor of Computer Engineering at Vanderbilt University.

Honors

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Experiences

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Education

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Aniruddha S Gokhale

Vanderbilt University

Professor of Computer Science Professor of Computer Engineering

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systems engineering computer science distributed systems computer engineering cloud computing internet of things software engineering machine learning networked system design system software quality-of-service information technology data science service computing modeling and simulation real-time computing edge computing performance evaluation software-defined networking real-time systems computer security mobile computing wireless communications reliability engineering fault tolerance distributed real-time data dissemination distributed computing component system model-based software development deployment strategy stem education component-based software engineering model deployment component technology model-driven engineering intelligent computing cluster computing data security 5g system domain-specific languages cloud automation component middleware higher education system architecture software product line resilience engineering computational optimization mobility network optimization autonomic computing network management fog computing service integration aspect-oriented programming domain-specific modeling model management real-time corba dynamic resource management dre systems component-based systems communication middleware performance scalability software-defined infrastructures virtual machines soft real-time applications high-speed atm networks engineering optimization capacity management knowledge engineering corba latency configuration engine mda generative tool future networks digital twin optimization principle patterns smart cities internet computing digital twins technology cloud-based integration cyber-physical systems cloud computing architecture cybernetics

Notable Scholarly Works

Notable Federal Grants

Collaborators

Edge-To-Cloud AI-Assisted Augmented Reality Dddas Framework for Robust and Real-Time Assistance to Operators. Lecture notes in computer science (2025)

systems engineeringaugmented intelligencereal-time assistancemachine visionintelligent systemsaugmented realitycomputer scienceautonomous robotsautomationedge computing

FEDS: An Intuitive Model-Driven Middleware for Automated Orchestration and Resource Configuration Across Federated Testbeds. (2025)

scalabilitysystems engineeringtestbedreflective middlewaredistributed systemsservice orchestrationdistributed middlewareadaptive middlewareautomated orchestrationcomputer scienceservice computingintuitive model-driven middlewarecloud computing

A Comprehensive Survey on Digital Twin for Future Networks and Emerging Internet of Things Industry. Computer Networks (2024)

Akram HakiriAniruddha GokhaleSadok Ben YahiaNedra Mellouli

computer scienceinternet of thingsfuture networksdigital twin

A Novel 5G Digital Twin Approach for Traffic Prediction and Elastic Network Slice Management. (2024)

Ziran MinZiteng LiuZhuangwei KangShuang ZhouSwapna GokhaleShashank ShekharCharif MahmoudiAniruddha Gokhale

technologysystems engineeringmobile computing5g systemmachine learningcomputer scienceinternet of thingstraffic prediction

Applying Dddas Principles for Realizing Optimized and Robust Deep Learning Models at the Edge. Lecture notes in computer science (2024)

Robert CanadyXingyu ZhouYogesh BarveDaniel BalasubramanianAniruddha Gokhale

model optimizationmachine learningdeep learningdddas principlescomputer scienceedge computing

Drift Detection and Adaptation for Federated Learning in Iot With Adaptive Device Management. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Shuang ZhouShashank ShekharAjay ChhokraAbhishek DubeyAniruddha Gokhale

mobile computingdrift detectionunmanned aerial vehiclesintelligent computingautonomous learningdata sciencebig datafederated learningmachine learningedge computingshift detectioninternet of thingssystems engineeringsource separationiot data managementadaptive device managementvehicular technologycomputer scienceunmanned aircraft systemsinformation fusion

Enhancing 5G Network Slicing for Iot Traffic With a Novel Clustering Framework. Pervasive and Mobile Computing (2024)

Ziran MinSwapna GokhaleShashank ShekharCharif MahmoudiZhuangwei KangYogesh BarveAniruddha Gokhale

mobile computingpervasive computingiot traffic5g network slicingnovel clustering frameworkclusteringcomputer scienceinternet of things

Reinforcement Learning-Based Performance-Aware Energy Management in 5G Base Stations. (2024)

Akhilesh RajRobert E. CanadySanjana DasAniruddha GokhaleSwann Perarnau

5g systembase stationsreinforcement learningelectrical engineeringenergy management

Special Issue on Digital Twin for Future Networks and Emerging Iot Applications (Dt4Iot). Future Generation Computer Systems (2024)

Akram HakiriSadok Ben YahiaAniruddha S GokhaleNédra Mellouli

systems engineeringfuture networksiot applicationsinternet of thingsdigital twin

Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems. (2024)

Zhuangwei KangZiran MinShuang ZhouYogesh D. BarveAniruddha Gokhale

deep learningdata sciencecloud computing

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Aniruddha S Gokhale

Professor of Computer Science Professor of Computer Engineering

Vanderbilt University

Affiliations

School of Engineering

Electrical and Computer Engineering

Aniruddha S Gokhale is currently serving as an Electrical And Computer Engineering Professor of Computer Science Professor of Computer Engineering at Vanderbilt University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Aniruddha S Gokhale

Vanderbilt University

Professor of Computer Science Professor of Computer Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Edge-To-Cloud AI-Assisted Augmented Reality Dddas Framework for Robust and Real-Time Assistance to Operators. Lecture notes in computer science (2025)

systems engineeringaugmented intelligencereal-time assistancemachine visionintelligent systemsaugmented realitycomputer scienceautonomous robotsautomationedge computing

FEDS: An Intuitive Model-Driven Middleware for Automated Orchestration and Resource Configuration Across Federated Testbeds. (2025)

A Comprehensive Survey on Digital Twin for Future Networks and Emerging Internet of Things Industry. Computer Networks (2024)

Akram HakiriAniruddha GokhaleSadok Ben YahiaNedra Mellouli

computer scienceinternet of thingsfuture networksdigital twin

A Novel 5G Digital Twin Approach for Traffic Prediction and Elastic Network Slice Management. (2024)

Ziran MinZiteng LiuZhuangwei KangShuang ZhouSwapna GokhaleShashank ShekharCharif MahmoudiAniruddha Gokhale

technologysystems engineeringmobile computing5g systemmachine learningcomputer scienceinternet of thingstraffic prediction

Applying Dddas Principles for Realizing Optimized and Robust Deep Learning Models at the Edge. Lecture notes in computer science (2024)

Robert CanadyXingyu ZhouYogesh BarveDaniel BalasubramanianAniruddha Gokhale

model optimizationmachine learningdeep learningdddas principlescomputer scienceedge computing

Drift Detection and Adaptation for Federated Learning in Iot With Adaptive Device Management. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Shuang ZhouShashank ShekharAjay ChhokraAbhishek DubeyAniruddha Gokhale

Enhancing 5G Network Slicing for Iot Traffic With a Novel Clustering Framework. Pervasive and Mobile Computing (2024)

Ziran MinSwapna GokhaleShashank ShekharCharif MahmoudiZhuangwei KangYogesh BarveAniruddha Gokhale

mobile computingpervasive computingiot traffic5g network slicingnovel clustering frameworkclusteringcomputer scienceinternet of things

Reinforcement Learning-Based Performance-Aware Energy Management in 5G Base Stations. (2024)

Akhilesh RajRobert E. CanadySanjana DasAniruddha GokhaleSwann Perarnau

5g systembase stationsreinforcement learningelectrical engineeringenergy management

Special Issue on Digital Twin for Future Networks and Emerging Iot Applications (Dt4Iot). Future Generation Computer Systems (2024)

Akram HakiriSadok Ben YahiaAniruddha S GokhaleNédra Mellouli

systems engineeringfuture networksiot applicationsinternet of thingsdigital twin

Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems. (2024)

Zhuangwei KangZiran MinShuang ZhouYogesh D. BarveAniruddha Gokhale

deep learningdata sciencecloud computing

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Janos Sztipanovits

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design automation

cyber-physical systems

Sandeep K Neema

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computer architecture

Salim A Hariri

Institution

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industrial informatics

grid computing

Douglas C Schmidt

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systems modeling

industrial informatics

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