Faculty

Institution

Unit

Venue

Sanjoy Das

Associate Professor

Kansas State University

Affiliations

Carl R. Ice College of Engineering

Mike Wiegers Department of Electrical and Computer Engineering

Sanjoy Das is currently serving as a Carl R. Ice College Of Engineering Associate Professor at Kansas State University.

Honors

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Experiences

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Education

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Sanjoy Das

Kansas State University

Associate Professor

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electrical engineering systems engineering machine learning computer science engineering energy management artificial intelligence evolutionary computation engineering optimization computational intelligence mathematical optimization multi-objective optimization computational biology power electronics reliability engineering computational optimization electric power distribution power engineering overhead distribution feeders overhead distribution systems distribution systems wind power biogeography control systems automatic control swarm intelligence power system analysis power system control animal-related outages reinforcement learning scientific computing distributed systems energy optimization foraging failure prediction gene regulatory networks gene regulation computational genomics differential evolution anomaly detection biogeography-based optimization energy conversion fuzzy logic control optimization electric power transmission power system optimization model optimization reliability prediction genetic algorithms gene networks hidden user information shipboard power systems local search cold load pickup optimal restoration discrete variables animal-related failures fuzzy systems cybernetics static optimization fuzzy optimization estimation theory energy control energy engineering demand response power system protection power system reliability smart agriculture agricultural sciences predictive modeling optimization problems yield prediction exploration v exploitation energy analysis multiobjective fuzzy dominance artificial weed colonies multidisciplinary ai evolutionary intelligence bio-inspired computation biocybernetics

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Application of Computational Intelligence Methods in Agricultural Soil–Machine Interaction: A Review. Agriculture (2023)

Chetan BadgujarSanjoy DasDania Martinez FigueroaDaniel Flippo

computer sciencecomputational intelligenceagricultural soil-machine interactiontechnologymachine learningagricultural sciencesagricultural economicssmart agriculturecomputational intelligence methodsagronomy

Deep Neural Networks to Predict Autonomous Ground Vehicle Behavior on Sloping Terrain Field. Journal of Field Robotics (2023)

Chetan BadgujarSanjoy DasDania M. FigueroaDaniel FlippoStephen Welch

deep learningcomputer sciencedeep neural networksmachine learningroboticsfield roboticscomputer visionartificial intelligenceearth science

Imitation Learning With Deep Attentive Tabular Neural Networks for Environmental Prediction and Control in Smart Home. Energies (2023)

Omar al-AniSanjoy DasHongyu Wu

deep learningmachine learninglearning controlcomputer sciencedata scienceautomatic controlcomputational intelligencehuman-computer interactionmachine intelligenceintelligent controlcontrol optimizationintelligent computingenvironmental predictionsmart homesystems engineeringautonomous learningartificial intelligencehome automationenergy management

A Deep Architecture Using Multiple Tabnets for Environmental Prediction and Control in Smart Home. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)

Omar Al-AniSanjoy DasHongyu WuDania Martinez-FigueoraXuebo LiuRahul H. Cheppally

deep learningcomputer sciencecomputational intelligencemachine learningintelligent computingenvironmental predictiondata scienceinformaticssystems engineeringmachine intelligencedeep architecturesmart homeartificial intelligencemultiple tabnets

A Distributed Approach for Robotic Coverage Path Planning Under Steep Slope Terrain Conditions. 2022 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)

Dania Martinez-FigueoraSanjoy DasChetan BadgujarDaniel FlippoStephen J. Welch

distributed artificial intelligencecomputer sciencecomputational intelligenceai planningdistributed roboticsmachine learningpath planningspatial planninggeotechnical engineeringroboticsscientific computingsystems engineeringcomputer visiondistributed systemsrobotic coverage pathartificial intelligenceapplied mathematics

An $L_{0}$-Norm Constrained Unsupervised Non-Negative Matrix Factorization Algorithm for Privacy Preserving Energy Usage Decomposition. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)

Ahmad Khaled ZarabieSanjoy Das

deep learningmatrix factorizationmachine learningscientific computingapplied mathematicscomputer sciencematrix analysisinformaticsinput-output analysiscomputational intelligencecomputational learning theorymachine intelligencedata privacyintelligent computingknowledge discoveryenergy usage decompositionsystems engineeringartificial intelligenceadvanced computing

Projecting the Thermal Response in a Htgr-Type System During Conduction Cooldown Using Graph-Laplacian Based Machine Learning. Energies (2022)

Molly RossT-Ying LinDaniel GouldSanjoy DasHitesh Bindra

engineeringmachine learninghtgr-type systemthermal responsesystems engineeringthermal engineeringapplied physics

Reinforcement Learning: Theory and Applications in Hems. Energies (2022)

Omar Al-AniSanjoy Das

physicsenergy analysisheme signalingreinforcement learningapplied physicsapplied mathematics

Outage Estimation in Electric Power Distribution Systems Using a Neural Network Ensemble. Energies (2021)

Sanjoy DasPadmavathy KankanalaAnil Pahwa

machine learningreliability engineeringoutage estimationelectrical engineering

A Data-Driven Machine Learning Approach for Consumer Modeling With Load Disaggregation. arXiv (Cornell University) (2020)

Ahmad Khaled ZarabieSanjoy DasHongyu Wu

machine learningload disaggregationdata scienceconsumer modeling

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Sanjoy Das

Associate Professor

Kansas State University

Affiliations

Carl R. Ice College of Engineering

Mike Wiegers Department of Electrical and Computer Engineering

Sanjoy Das is currently serving as a Carl R. Ice College Of Engineering Associate Professor at Kansas State 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

Sanjoy Das

Kansas State University

Associate Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Application of Computational Intelligence Methods in Agricultural Soil–Machine Interaction: A Review. Agriculture (2023)

Chetan BadgujarSanjoy DasDania Martinez FigueroaDaniel Flippo

Deep Neural Networks to Predict Autonomous Ground Vehicle Behavior on Sloping Terrain Field. Journal of Field Robotics (2023)

Chetan BadgujarSanjoy DasDania M. FigueroaDaniel FlippoStephen Welch

deep learningcomputer sciencedeep neural networksmachine learningroboticsfield roboticscomputer visionartificial intelligenceearth science

Imitation Learning With Deep Attentive Tabular Neural Networks for Environmental Prediction and Control in Smart Home. Energies (2023)

Omar al-AniSanjoy DasHongyu Wu

A Deep Architecture Using Multiple Tabnets for Environmental Prediction and Control in Smart Home. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)

Omar Al-AniSanjoy DasHongyu WuDania Martinez-FigueoraXuebo LiuRahul H. Cheppally

A Distributed Approach for Robotic Coverage Path Planning Under Steep Slope Terrain Conditions. 2022 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)

Dania Martinez-FigueoraSanjoy DasChetan BadgujarDaniel FlippoStephen J. Welch

Ahmad Khaled ZarabieSanjoy Das

Projecting the Thermal Response in a Htgr-Type System During Conduction Cooldown Using Graph-Laplacian Based Machine Learning. Energies (2022)

Molly RossT-Ying LinDaniel GouldSanjoy DasHitesh Bindra

engineeringmachine learninghtgr-type systemthermal responsesystems engineeringthermal engineeringapplied physics

Reinforcement Learning: Theory and Applications in Hems. Energies (2022)

Omar Al-AniSanjoy Das

physicsenergy analysisheme signalingreinforcement learningapplied physicsapplied mathematics

Outage Estimation in Electric Power Distribution Systems Using a Neural Network Ensemble. Energies (2021)

Sanjoy DasPadmavathy KankanalaAnil Pahwa

machine learningreliability engineeringoutage estimationelectrical engineering

A Data-Driven Machine Learning Approach for Consumer Modeling With Load Disaggregation. arXiv (Cornell University) (2020)

Ahmad Khaled ZarabieSanjoy DasHongyu Wu

machine learningload disaggregationdata scienceconsumer modeling

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Similar Faculty Members

Anil Pahwa

Institution

Kansas State University

engineering optimization

renewable energy resources

Paras Mandal

Institution

University of Texas at El Paso

electricity supply

electricity generation

Bala Natarajan

Institution

Kansas State University

general system

complex system

Lingling Fan

Institution

University of South Florida

electric power system

power delivery

Souma Chowdhury

Institution

University at Buffalo

swarm systems

unmanned aerial vehicle

Nurcin Celik

Institution

University of Miami

waste management

recycling

Yang Zheng

Institution

University of California, San Diego

continuous optimization

autonomous driving

Ning Lu

Institution

North Carolina State University

smart grid

electric power system

Ali Davoudi

Institution

University of Texas at Arlington

electrical engineering

systems engineering

Jie Zhang

Institution

University of Texas at Dallas

energy system modeling

energy optimization