Ali Forootani
Orcid: 0000-0001-7612-4016
According to our database1,
Ali Forootani authored at least 35 papers
between 2017 and 2026.
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Bibliography
2026
Asynchronous Federated Learning With Nonconvex Client Objective Functions and Heterogeneous Dataset.
IEEE Trans. Artif. Intell., May, 2026
Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine Learning.
IEEE Trans. Syst. Man Cybern. Syst., March, 2026
Sparse identification and mathematical framework for analyzing metabolic-regulatory networks.
Int. J. Syst. Sci., March, 2026
Learnable Koopman-Enhanced Transformer-Based Time Series Forecasting with Spectral Control.
CoRR, February, 2026
Toward Digital Twins for Power-to-X Processes: Comparing Surrogate Models for a Catalytic CO<sub>2</sub> Methanation Reactor.
IEEE Trans Autom. Sci. Eng., 2026
Neurocomputing, 2026
2025
CoRR, December, 2025
DeepKoopFormer: A Koopman Enhanced Transformer Based Architecture for Time Series Forecasting.
CoRR, August, 2025
Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset.
CoRR, August, 2025
Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks.
CoRR, May, 2025
CoRR, March, 2025
Off-Policy Temporal Difference Learning for Perturbed Markov Decision Processes: Theoretical Insights and Extensive Simulations.
CoRR, February, 2025
Bio-Eng-LLM AI Assist: A modular chatbot platform for interdisciplinary research and education.
SoftwareX, 2025
A robust sparse identification of nonlinear dynamics approach by combining neural networks and an integral form.
Eng. Appl. Artif. Intell., 2025
A data-driven practical stabilization approach for solving stochastic dynamic programming problems.
Autom., 2025
2024
Transfer Learning-Based Framework Enhanced by Deep Generative Model for Cold-Start Forecasting of Residential EV Charging Behavior.
IEEE Trans. Intell. Veh., January, 2024
IEEE Control. Syst. Lett., 2024
CoRR, 2024
GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations.
CoRR, 2024
Power system flexibility analysis using net-load forecasting based on deep learning considering distributed energy sources and electric vehicles.
Comput. Electr. Eng., 2024
Autom., 2024
2023
A Lyapunov-based version of the value iteration algorithm formulated as a discrete-time switched affine system.
Int. J. Control, March, 2023
Stochastic dynamic programming solution to transmission scheduling: Multi sensor-multi process with wireless noisy channel.
Comput. Electr. Eng., March, 2023
Eng. Appl. Artif. Intell., 2023
CoRR, 2023
2022
IEEE Control. Syst. Lett., 2022
Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming.
Autom., 2022
An Advanced Satisfaction-Based Home Energy Management System Using Deep Reinforcement Learning.
IEEE Access, 2022
2021
Modelling and solving resource allocation problems via a dynamic programming approach.
Int. J. Control, 2021
Allocating resources via price management systems: a dynamic programming-based approach.
Int. J. Control, 2021
2020
A Least-Squares Temporal Difference based method for solving resource allocation problems.
IFAC J. Syst. Control., 2020
IEEE CAA J. Autom. Sinica, 2020
2018
Price Management in Resource Allocation Problem with Approximate Dynamic Programming.
Proceedings of the 16th European Control Conference, 2018
2017
Turkish J. Electr. Eng. Comput. Sci., 2017