| Inference of regulatory networks through temporally sparse data M Alali, M Imani Frontiers in Control Engineering- AI and Machine Learning Control 3, 2022 | 10 | 2022 |
| Reinforcement Learning Data-Acquiring for Causal Inference of Regulatory Networks M Alali, M Imani American Control Conference (ACC), 2023 | 8 | 2023 |
| Deep Reinforcement Learning Sensor Scheduling for Effective Monitoring of Dynamical Systems M Alali, A Kazeminajafabadi, M Imani Systems Science & Control Engineering, 2024 | 3 | 2024 |
| Intelligent Line Congestion Prognosis in Active Distribution System Using Artificial Neural Network M Alali, FN Shimim, Z Shahooei, M Bahramipanah 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2021 | 1 | 2021 |
| Resiliency-Oriented Optimization of Critical Parameters in Multi Inverter-Fed Distributed Generation Systems M Alali, Z Shahooei, M Bahramipanah Sustainability 13 (12), 6699, 2021 | 1* | 2021 |
| Kernel-Based Particle Filtering for Scalable Inference in Partially Observed Boolean Dynamical Systems M Alali, M Imani IFAC-PapersOnLine, 20th IFAC Symposium on System Identification (SYSID 2024), 2024 | | 2024 |
| Resiliency-Aware Power Management of Microgrids using Agent-based Dynamic Programming and Q-learning FN Shimim, M Alali, H Nehrir, J Sheppard, M Bahramipanah, Z Shahooei 2021 IEEE PES Innovative Smart Grid Technologies-Asia (ISGT Asia), 1-5, 2021 | | 2021 |
| Resilience-aware management of active distribution networks M Alali Montana State University-Bozeman, College of Engineering, 2021 | | 2021 |
Mahdi ImaniAssistant Professor of Electrical and Computer Engineering, Northeastern UniversityVerified email at northeastern.edu
