Sara Behdad

Orcid: 0000-0002-7080-7497

According to our database1, Sara Behdad authored at least 15 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Physics-Informed Data-Driven Approaches to Electric Vehicle Battery State-of-Health Prediction: Comparison of Parallel and Series Configurations.
J. Comput. Inf. Sci. Eng., 2025

Multi-Task Learning for Intention and Trajectory Prediction in Human-Robot Collaborative Disassembly Tasks.
J. Comput. Inf. Sci. Eng., 2025

Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning.
J. Comput. Inf. Sci. Eng., 2025

2024
Early Prediction of Human Intention for Human-Robot Collaboration Using Transformer Network.
J. Comput. Inf. Sci. Eng., May, 2024

Unsupervised Human Activity Recognition Learning for Disassembly Tasks.
IEEE Trans. Ind. Informatics, January, 2024

2023
Robot-Assisted Disassembly Sequence Planning With Real-Time Human Motion Prediction.
IEEE Trans. Syst. Man Cybern. Syst., 2023

A Review of Prospects and Opportunities in Disassembly with Human-Robot Collaboration.
CoRR, 2023

2022
Task allocation and planning for product disassembly with human-robot collaboration.
Robotics Comput. Integr. Manuf., 2022

Uncertainty-Assisted Image-Processing for Human-Robot Close Collaboration.
IEEE Robotics Autom. Lett., 2022

2021
A light robust model for aggregate production planning with consideration of environmental impacts of machines.
Oper. Res., 2021

2020
The impact of build orientation policies on the completion time in two-dimensional irregular packing for additive manufacturing.
Int. J. Prod. Res., 2020

A Real-Time Receding Horizon Sequence Planner for Disassembly in A Human-Robot Collaboration Setting.
CoRR, 2020

Disassembly Sequence Planning Considering Human-Robot Collaboration.
Proceedings of the 2020 American Control Conference, 2020

2018
Modeling and measuring the structural complexity in assembly supply chain networks.
J. Intell. Manuf., 2018

2015
Disassembly Sequence Evaluation: A User Study Leveraging Immersive Computing Technologies.
J. Comput. Inf. Sci. Eng., 2015


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