Hamed Khorasgani

Workday (United States) — United States

Engineering · Physical Sciences

14h-index558citations47works0.02yr avg
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Research Topics

Fault Detection and Control Systems(23), Anomaly Detection Techniques and Applications(13), Advanced Control Systems Optimization(8), Reinforcement Learning in Robotics(7), Scheduling and Optimization Algorithms(6)

Publications47 total

Uncertainty Estimation for a Dual-Embedding based Entity Extraction Service
2023
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents
arXiv (Cornell University)·2022Open Access
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents
2021 IEEE International Conference on Big Data (Big Data)·2021· 3 cited
Off-line Deep Reinforcement Learning for Maintenance Optimization
Annual Conference of the PHM Society·2021· 3 citedOpen Access
Deep Reinforcement Learning with Adjustments
arXiv (Cornell University)·2021Open Access
Data-driven Residual Generation for Early Fault Detection with Limited Data
arXiv (Cornell University)·2021Open Access
An Offline Deep Reinforcement Learning for Maintenance Decision-Making
arXiv (Cornell University)·2021· 2 citedOpen Access
Data-driven Residual Generation for Early Fault Detection with Limited\n Data
arXiv (Cornell University)·2021Open Access
Program
2021Open Access
Deep Reinforcement Learning with Adjustments
2021· 2 cited
A Non-linear Function-on-Function Model for Regression with Time Series Data
2020· 18 cited
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning
2020· 32 cited
A Non-linear Function-on-Function Model for Regression with Time Series Data
arXiv (Cornell University)·2020· 1 citedOpen Access
An Approach To Mode and Anomaly Detection with Spacecraft Telemetry Data
International Journal of Prognostics and Health Management·2020· 15 citedOpen Access
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching
arXiv (Cornell University)·2020· 11 citedOpen Access
Data-driven Residual Generation for Early Fault Detection with Limited Data
Annual Conference of the PHM Society·2020· 1 citedOpen Access
Spatio-Temporal Functional Neural Networks
2020· 2 citedOpen Access
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning
arXiv (Cornell University)·2020· 3 citedOpen Access
Comparison of Model Predictive and Reinforcement Learning Methods for\n Fault Tolerant Control
arXiv (Cornell University)·2020Open Access
Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control
arXiv (Cornell University)·2020Open Access
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Frequent Co-authors

Gautam Biswas(23), Chetan Gupta(21), Ahmed Farahat(6), Daniel Jung(6), Susumu Serita(5), Oliver Niggemann(3), John S. Kinnebrew(3), Sören Volgmann(3), Andreas Bunte(3), Shuai Zheng(3), Erik Frisk(3), Mattias Krysander(3), Qiyao Wang(3), Aniruddha Rajendra Rao(3), Haiyan Wang(3), Philip Odonkor(2), Haiyan Wang(2), Gerald Stanje(2), Abhishek Dubey(2), Somnath Deb(2)