Hamed Khorasgani

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 21

Top Topics

Reinforcement Learning

Target Function

Fault Detection

Top Venues

Publications

Hamed Khorasgani, Namrata Ghadi, Saumil Shah, Henry Zhang
Uncertainty Estimation for a Dual-Embedding based Entity Extraction Service. BigData (2023)
Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. CoRR (2022)
Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. IEEE BigData (2021)
Hamed Khorasgani, Ahmed K. Farahat, Chetan Gupta
Data-driven Residual Generation for Early Fault Detection with Limited Data. CoRR (2021)
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed K. Farahat
An Offline Deep Reinforcement Learning for Maintenance Decision-Making. CoRR (2021)
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita
Deep Reinforcement Learning with Adjustments. CoRR (2021)
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita
Deep Reinforcement Learning with Adjustments. INDIN (2021)
Hamed Khorasgani, Haiyan Wang, Chetan Gupta
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching. CoRR (2020)
Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. CoRR (2020)
Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta
Spatio-Temporal Functional Neural Networks. CoRR (2020)
Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani
A Non-linear Function-on-Function Model for Regression with Time Series Data. CoRR (2020)
Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani
A Non-linear Function-on-Function Model for Regression with Time Series Data. IEEE BigData (2020)
Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta
Spatio-Temporal Functional Neural Networks. DSAA (2020)
Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta, Haiyan Wang
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. IEEE BigData (2020)
Ibrahim Ahmed, Hamed Khorasgani, Gautam Biswas
Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control. CoRR (2020)
Hamed Khorasgani, Arman Hasanzadeh, Ahmed K. Farahat, Chetan Gupta
Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. ICPHM (2019)
Hamed Khorasgani, Gautam Biswas
A methodology for monitoring smart buildings with incomplete models. Appl. Soft Comput. 71 (2018)
Hamed Khorasgani, Gautam Biswas
Structural Fault Detection and Isolation in Hybrid Systems. IEEE Trans Autom. Sci. Eng. 15 (4) (2018)
Daniel L. C. Mack, Gautam Biswas, Hamed Khorasgani, Dinkar Mylaraswamy, Raj Bharadwaj
Combining expert knowledge and unsupervised learning techniques for anomaly detection in aircraft flight data. Autom. 66 (4) (2018)
Hamed Khorasgani, Gautam Biswas
A combined model-based and data-driven approach for monitoring smart buildings. DX (2017)
Hamed Khorasgani, Gautam Biswas, Shankar Sankararaman
Methodologies for system-level remaining useful life prediction. Reliab. Eng. Syst. Saf. 154 (2016)
Oliver Niggemann, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Sören Volgmann, Andreas Bunte
Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. DX (2015)
Hamed Khorasgani, Gautam Biswas, Daniel E. Jung
Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection. DX (2015)
Aníbal Bregón, Gautam Biswas, Belarmino Pulido, Carlos Alonso González, Hamed Khorasgani
A Common Framework for Compilation Techniques Applied to Diagnosis of Linear Dynamic Systems. IEEE Trans. Syst. Man Cybern. Syst. 44 (7) (2014)
Hamed Khorasgani, Daniel E. Jung, Gautam Biswas, Erik Frisk, Mattias Krysander
Robust residual selection for fault detection. CDC (2014)