Intelligent Line Congestion Prognosis in Active Distribution System Using Artificial Neural Network. - Mohammad Alali; Farshina Nazrul Shimim; Zagros Shahooei; Maryam Bahramipanah (ISGT, 2021)

Resiliency-Aware Power Management of Microgrids using Agent-based Dynamic Programming and Q-learning. - Farshina Nazrul Shimim; Mohammad Alali; M. Hashem Nehrir; John W. Sheppard; Maryam Bahramipanah; Zagros Shahooei (ISGT Asia, 2021)

JUSTICE: A Benchmark Dataset for Supreme Court's Judgment Prediction. - Mohammad Alali; Shaayan Syed; Mohammed Alsayed; Smit Patel; Hemanth Bodala (CoRR, 2021)

Inference of Regulatory Networks Through Temporally Sparse Data. - Mohammad Alali; Mahdi Imani (CoRR, 2022)

Action Quality Assessment using Transformers. - Abhay Iyer; Mohammad Alali; Hemanth Bodala; Sunit Vaidya (CoRR, 2022)

Reinforcement Learning Data-Acquiring for Causal Inference of Regulatory Networks. - Mohammad Alali; Mahdi Imani (ACC, 2023)

Bayesian Optimization for State and Parameter Estimation of Dynamic Networks with Binary Space. - Mohammad Alali; Mahdi Imani (CCTA, 2024)

Bayesian reinforcement learning for navigation planning in unknown environments. - Mohammad Alali; Mahdi Imani (Frontiers Artif. Intell., 2024)

Bayesian Lookahead Perturbation Policy for Inference of Regulatory Networks. - Mohammad Alali; Mahdi Imani (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models. - Mohammad Alali; Mahdi Imani (IEEE Trans. Artif. Intell., 2025)