Faculty

Institution

Unit

Venue

Vaidy Sunderam

Samuel Candler Dobbs Professor of Computer Science

Emory University

Affiliations

Emory College of Arts and Sciences

Computer Science

Vaidy Sunderam is currently serving as a Computer Science Samuel Candler Dobbs Professor of Computer Science at Emory University.

Honors

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Experiences

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Education

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Vaidy Sunderam

Emory University

Samuel Candler Dobbs Professor of Computer Science

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computer science parallel computing systems engineering distributed systems computer engineering distributed computing scalability parallel programming machine learning system software computer security data science distributed processing information security cloud computing parallel processing high performance computing data security heterogeneous computing scientific computing visualization concurrency (computer science) fault tolerance concurrent systems concurrent programming harness metacomputing system data privacy information visualization programming languages network computing concurrency theory collaborative computing wireless communications distributed simulations virtual machines mobile computing differential privacy debugger message passing software visualization information retrieval heterogeneous networks parallel virtual machine hpc applications human-computer interaction communication security next generation computing group communication network computing environments cluster environments computational intelligence group process federated learning concurrency control data indexing pvm system concurrent stochastic simulation pvm emulation logic in computer science crowdsourcing in-memory computing indexing technique index system streaming data streaming algorithms stream processing anomaly detection group communication support multidomain clusters computational grids automatic resumption fail-safe concurrency scientific applications evolutionary computation pvm-parallel virtual machine cloaked locations distributed processing systems massively-parallel computing

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Automatic Help Summoning Through Speech Analysis on Mobile Devices. Lecture notes in computer science (2025)

voice technologyspeech communicationlinguisticsspeech recognitionautomatic help summoning

Decoding the Granular Puzzle of Macromolecules: Efficient 3D Protein Structure Alignment in the Age of Big Data With Apache Spark. 2021 IEEE International Conference on Big Data (Big Data) (2024)

granular puzzlebig databioinformaticsbiomolecular structurestructural biologycomputational biologyprotein structureapache sparkmolecular biologystructural molecular biologysystems biologyprotein structure predictionprotein modelingprotein sciencestructural bioinformatics

Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data. Lecture notes in computer science (2024)

Paweł BeneckiDaniel KostrzewaMarek DrewniakBohdan ShubynPiotr GrzesikVaidy SunderamBoleslaw PochopienAndrzej KwiecienBozena Malysiak-MrozekDariusz Mrozek

computer scienceobject detectionfault detectionoutlier detectionmachine learningsystems engineeringanomaly detectiontelemetry data

Effective Prediction of Energy Consumption in Automated Guided Vehicles With Recurrent and Convolutional Neural Networks. 2021 IEEE International Conference on Big Data (Big Data) (2023)

Pawel BeneckiDaniel KostrzewaPiotr GrzesikBohdan ShubynJia-Hao SyuJerry Chun-Wei LinVaidy SunderamDariusz Mrozek

deep learningengineeringmachine learningsystems engineeringcomputer visionrecurrent neural networksenergy consumptioneffective prediction

Federated Learning for Improved Prediction of Failures in Autonomous Guided Vehicles. Journal of Computational Science (2023)

Bohdan ShubynDaniel KostrzewaPiotr GrzesikPaweł BeneckiTaras MaksymyukVaidy SunderamJia-Hao SyuJerry Chun-Wei LinDariusz Mrozek

computational sciencedeep learningcomputer sciencemachine learningfederated learningpredictive learningsystems engineeringartificial intelligencefailure prediction

From Corrective to Predictive Maintenance—a Review of Maintenance Approaches for the Power Industry. Sensors (2023)

Marek MolędaBożena Małysiak-MrozekWeiping DingVaidy SunderamDariusz Mrozek

predictive maintenancemaintenance managementpower industryengineering

Predicting Conflict Zones on Terrestrial Routes of Automated Guided Vehicles With Fuzzy Querying on Apache Kafka. 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2023)

Bożena Małysiak-MrozekMario BasVaidy SunderamStanisław KozielskiDariusz Mrozek

engineeringguided vehiclesroboticssystems engineeringconflict zonesapache kafkaterrestrial routes

Resource Consumption of Federated Learning Approach Applied on Edge Iot Devices in the Agv Environment. Lecture notes in computer science (2023)

Bohdan ShubynPiotr GrzesikTaras MaksymyukDaniel KostrzewaPaweł BeneckiJia-Hao SyuJerry Chun-Wei LinVaidy SunderamDariusz Mrozek

computer sciencemachine learningagv environmentfederated learningedge computingresource consumptioninternet of thingsedge iot devices

VANITYX: An Agile 3D Rendering Platform Supporting Mixed Reality. Applied Sciences (2023)

Ivan ZorajaMirjana BonkovicVladan PapicVaidy Sunderam

immersive technologies3d modelingapplied mathematicsextended realitymixed reality

Federated Learning for Anomaly Detection in Industrial Iot-Enabled Production Environment Supported by Autonomous Guided Vehicles. Lecture notes in computer science (2022)

Bohdan ShubynDariusz MrozekTaras MaksymyukVaidy SunderamDaniel KostrzewaPiotr GrzesikPaweł Benecki

computer scienceembedded machine learningmachine learningfederated learningcomputer engineeringsystems engineeringautonomous guided vehiclesartificial intelligenceindustrial iotanomaly detectioninternet of things

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Vaidy Sunderam

Samuel Candler Dobbs Professor of Computer Science

Emory University

Affiliations

Emory College of Arts and Sciences

Computer Science

Vaidy Sunderam is currently serving as a Computer Science Samuel Candler Dobbs Professor of Computer Science at Emory 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

Vaidy Sunderam

Emory University

Samuel Candler Dobbs Professor of Computer Science

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Automatic Help Summoning Through Speech Analysis on Mobile Devices. Lecture notes in computer science (2025)

voice technologyspeech communicationlinguisticsspeech recognitionautomatic help summoning

Decoding the Granular Puzzle of Macromolecules: Efficient 3D Protein Structure Alignment in the Age of Big Data With Apache Spark. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data. Lecture notes in computer science (2024)

Paweł BeneckiDaniel KostrzewaMarek DrewniakBohdan ShubynPiotr GrzesikVaidy SunderamBoleslaw PochopienAndrzej KwiecienBozena Malysiak-MrozekDariusz Mrozek

computer scienceobject detectionfault detectionoutlier detectionmachine learningsystems engineeringanomaly detectiontelemetry data

Effective Prediction of Energy Consumption in Automated Guided Vehicles With Recurrent and Convolutional Neural Networks. 2021 IEEE International Conference on Big Data (Big Data) (2023)

Pawel BeneckiDaniel KostrzewaPiotr GrzesikBohdan ShubynJia-Hao SyuJerry Chun-Wei LinVaidy SunderamDariusz Mrozek

deep learningengineeringmachine learningsystems engineeringcomputer visionrecurrent neural networksenergy consumptioneffective prediction

Federated Learning for Improved Prediction of Failures in Autonomous Guided Vehicles. Journal of Computational Science (2023)

Bohdan ShubynDaniel KostrzewaPiotr GrzesikPaweł BeneckiTaras MaksymyukVaidy SunderamJia-Hao SyuJerry Chun-Wei LinDariusz Mrozek

computational sciencedeep learningcomputer sciencemachine learningfederated learningpredictive learningsystems engineeringartificial intelligencefailure prediction

From Corrective to Predictive Maintenance—a Review of Maintenance Approaches for the Power Industry. Sensors (2023)

Marek MolędaBożena Małysiak-MrozekWeiping DingVaidy SunderamDariusz Mrozek

predictive maintenancemaintenance managementpower industryengineering

Bożena Małysiak-MrozekMario BasVaidy SunderamStanisław KozielskiDariusz Mrozek

engineeringguided vehiclesroboticssystems engineeringconflict zonesapache kafkaterrestrial routes

Resource Consumption of Federated Learning Approach Applied on Edge Iot Devices in the Agv Environment. Lecture notes in computer science (2023)

Bohdan ShubynPiotr GrzesikTaras MaksymyukDaniel KostrzewaPaweł BeneckiJia-Hao SyuJerry Chun-Wei LinVaidy SunderamDariusz Mrozek

computer sciencemachine learningagv environmentfederated learningedge computingresource consumptioninternet of thingsedge iot devices

VANITYX: An Agile 3D Rendering Platform Supporting Mixed Reality. Applied Sciences (2023)

Ivan ZorajaMirjana BonkovicVladan PapicVaidy Sunderam

immersive technologies3d modelingapplied mathematicsextended realitymixed reality

Federated Learning for Anomaly Detection in Industrial Iot-Enabled Production Environment Supported by Autonomous Guided Vehicles. Lecture notes in computer science (2022)

Bohdan ShubynDariusz MrozekTaras MaksymyukVaidy SunderamDaniel KostrzewaPiotr GrzesikPaweł Benecki

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Dan C. Marinescu

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University of Central Florida

grid computing

supercomputer architecture

Salim A Hariri

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industrial informatics

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George Cybenko

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Dartmouth College

information theory

information system planning

Christopher Carothers

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David O'hallaron

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hardware virtualization

Ken Birman

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data consistency

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big data

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sensor suite

unmanned ground vehicle

Sangmi Lee Pallickara

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big data storage

predictive analytics