Robust residual selection for fault detection. - Hamed Khorasgani; Daniel E. Jung; Gautam Biswas; Erik Frisk; Mattias Krysander (CDC, 2014)

A Common Framework for Compilation Techniques Applied to Diagnosis of Linear Dynamic Systems. - Aníbal Bregón; Gautam Biswas; Belarmino Pulido; Carlos Alonso González; Hamed Khorasgani (IEEE Trans. Syst. Man Cybern. Syst., 2014)

Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection. - Hamed Khorasgani; Gautam Biswas; Daniel E. Jung (DX, 2015)

Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. - Oliver Niggemann; Gautam Biswas; John S. Kinnebrew; Hamed Khorasgani; Sören Volgmann; Andreas Bunte (DX, 2015)

Methodologies for system-level remaining useful life prediction. - Hamed Khorasgani; Gautam Biswas; Shankar Sankararaman (Reliab. Eng. Syst. Saf., 2016)

A combined model-based and data-driven approach for monitoring smart buildings. - Hamed Khorasgani; Gautam Biswas (DX, 2017)

Datenanalyse in der intelligenten Fabrik. - Oliver Niggemann; Gautam Biswas; John S. Kinnebrew; Hamed Khorasgani; Sören Volgmann; Andreas Bunte (Handbuch Industrie 4.0 (2), 2017)

A methodology for monitoring smart buildings with incomplete models. - Hamed Khorasgani; Gautam Biswas (Appl. Soft Comput., 2018)

Combining expert knowledge and unsupervised learning techniques for anomaly detection in aircraft flight data. - Daniel L. C. Mack; Gautam Biswas; Hamed Khorasgani; Dinkar Mylaraswamy; Raj Bharadwaj (Autom., 2018)

Structural Fault Detection and Isolation in Hybrid Systems. - Hamed Khorasgani; Gautam Biswas (IEEE Trans Autom. Sci. Eng., 2018)

Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. - Hamed Khorasgani; Arman Hasanzadeh; Ahmed K. Farahat; Chetan Gupta 001 (ICPHM, 2019)

A Non-linear Function-on-Function Model for Regression with Time Series Data. - Qiyao Wang; Haiyan Wang 003; Chetan Gupta 001; Aniruddha Rajendra Rao; Hamed Khorasgani (IEEE BigData, 2020)

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. - Chi Zhang 030; Philip Odonkor; Shuai Zheng; Hamed Khorasgani; Susumu Serita; Chetan Gupta 001; Haiyan Wang 003 (IEEE BigData, 2020)

Spatio-Temporal Functional Neural Networks. - Aniruddha Rajendra Rao; Qiyao Wang; Haiyan Wang 003; Hamed Khorasgani; Chetan Gupta 001 (DSAA, 2020)

Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control. - Ibrahim Ahmed 005; Hamed Khorasgani; Gautam Biswas (CoRR, 2020)

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. - Chi Zhang 030; Philip Odonkor; Shuai Zheng; Hamed Khorasgani; Susumu Serita; Chetan Gupta 001 (CoRR, 2020)

Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching. - Hamed Khorasgani; Haiyan Wang 003; Chetan Gupta 001 (CoRR, 2020)

K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. - Hamed Khorasgani; Haiyan Wang 003; Hsiu-Khuern Tang; Chetan Gupta 001 (IEEE BigData, 2021)

Deep Reinforcement Learning with Adjustments. - Hamed Khorasgani; Haiyan Wang 003; Chetan Gupta 001; Susumu Serita (INDIN, 2021)

An Offline Deep Reinforcement Learning for Maintenance Decision-Making. - Hamed Khorasgani; Haiyan Wang 003; Chetan Gupta 001; Ahmed K. Farahat (CoRR, 2021)

Data-driven Residual Generation for Early Fault Detection with Limited Data. - Hamed Khorasgani; Ahmed K. Farahat; Chetan Gupta 001 (CoRR, 2021)

Uncertainty Estimation for a Dual-Embedding based Entity Extraction Service. - Hamed Khorasgani; Namrata Ghadi; Saumil Shah; Henry Zhang (IEEE Big Data, 2023)