Ali Forootani

According to our database, Ali Forootani authored at least 29 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

DeepKoopFormer: A Koopman Enhanced Transformer Based Architecture for Time Series Forecasting.

Ali Forootani, Mohammad Khosravi, Masoud Barati

CoRR, August, 2025

Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset.

Ali Forootani, Raffaele Iervolino

CoRR, August, 2025

Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks.

Ali Forootani, Mohammad Khosravi

CoRR, May, 2025

A Survey on Mathematical Reasoning and Optimization with Large Language Models.

Ali Forootani

CoRR, March, 2025

Off-Policy Temporal Difference Learning for Perturbed Markov Decision Processes: Theoretical Insights and Extensive Simulations.

Ali Forootani, Raffaele Iervolino, Massimo Tipaldi, Mohammad Khosravi

CoRR, February, 2025

Bio-Eng-LLM AI Assist: A modular chatbot platform for interdisciplinary research and education.

Ali Forootani, Danial Esmaeili Aliabadi, Daniela Thrän

SoftwareX, 2025

A robust sparse identification of nonlinear dynamics approach by combining neural networks and an integral form.

Ali Forootani, Pawan Goyal, Peter Benner

Eng. Appl. Artif. Intell., 2025

A data-driven practical stabilization approach for solving stochastic dynamic programming problems.

Massimo Tipaldi, Raffaele Iervolino, Paolo Roberto Massenio, Ali Forootani

Autom., 2025

2024

Transfer Learning-Based Framework Enhanced by Deep Generative Model for Cold-Start Forecasting of Residential EV Charging Behavior.

Ali Forootani, Mohammad Rastegar, Hamidreza Zareipour

IEEE Trans. Intell. Veh., January, 2024

Off-Policy Temporal Difference Learning for Perturbed Markov Decision Processes.

Ali Forootani, Raffaele Iervolino, Massimo Tipaldi, Mohammad Khosravi

IEEE Control. Syst. Lett., 2024

Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine Learning.

Ali Forootani, Raffaele Iervolino

CoRR, 2024

Climate Aware Deep Neural Networks (CADNN) for Wind Power Simulation.

Ali Forootani, Danial Esmaeili Aliabadi, Daniela Thrän

CoRR, 2024

Bio-Eng-LMM AI Assist chatbot: A Comprehensive Tool for Research and Education.

Ali Forootani, Danial Esmaeili Aliabadi, Daniela Thrän

CoRR, 2024

GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations.

Ali Forootani, Peter Benner

CoRR, 2024

Power system flexibility analysis using net-load forecasting based on deep learning considering distributed energy sources and electric vehicles.

Ehsan Toghiany Rizi, Mohammad Rastegar, Ali Forootani

Comput. Electr. Eng., 2024

A kernel-based approximate dynamic programming approach: Theory and application.

Ali Forootani, Raffaele Iervolino, Massimo Tipaldi, Silvio Baccari

Autom., 2024

2023

A Lyapunov-based version of the value iteration algorithm formulated as a discrete-time switched affine system.

Raffaele Iervolino, Massimo Tipaldi, Ali Forootani

Int. J. Control, March, 2023

Stochastic dynamic programming solution to transmission scheduling: Multi sensor-multi process with wireless noisy channel.

Ali Forootani, Sara Forootani, Raffaele Iervolino, Majid Ghaniee Zarch

Comput. Electr. Eng., March, 2023

A stochastic dynamic programming approach for the machine replacement problem.

Ali Forootani, Majid Ghaniee Zarch, Massimo Tipaldi, Raffaele Iervolino

Eng. Appl. Artif. Intell., 2023

A Robust SINDy Approach by Combining Neural Networks and an Integral Form.

Ali Forootani, Pawan Goyal, Peter Benner

CoRR, 2023

2022

Enhanced Exploration Least-Squares Methods for Optimal Stopping Problems.

Ali Forootani, Massimo Tipaldi, Raffaele Iervolino, Subhrakanti Dey

IEEE Control. Syst. Lett., 2022

Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming.

Ali Forootani, Raffaele Iervolino, Massimo Tipaldi, Subhrakanti Dey

Autom., 2022

An Advanced Satisfaction-Based Home Energy Management System Using Deep Reinforcement Learning.

Ali Forootani, Mohammad Rastegar, Mohammad Jooshaki

IEEE Access, 2022

2021

Modelling and solving resource allocation problems via a dynamic programming approach.

Ali Forootani, Massimo Tipaldi, Majid Ghaniee Zarch, Davide Liuzza, Luigi Glielmo

Int. J. Control, 2021

Allocating resources via price management systems: a dynamic programming-based approach.

Ali Forootani, Davide Liuzza, Massimo Tipaldi, Luigi Glielmo

Int. J. Control, 2021

2020

A Least-Squares Temporal Difference based method for solving resource allocation problems.

Ali Forootani, Massimo Tipaldi, Majid Ghaniee Zarch, Davide Liuzza, Luigi Glielmo

IFAC J. Syst. Control., 2020

Approximate dynamic programming for stochastic resource allocation problems.

Ali Forootani, Raffaele Iervolino, Massimo Tipaldi, Joshua Neilson

IEEE CAA J. Autom. Sinica, 2020

2018

Price Management in Resource Allocation Problem with Approximate Dynamic Programming.

Ali Forootani, Massimo Tipaldi, Davide Liuzza, Luigi Glielmo

Proceedings of the 16th European Control Conference, 2018

2017

Model-based fault analysis of a high-voltage circuit breaker operating mechanism.

Ali Forootani, Ali Akbar Afzalian, Ali Nadian Ghomsheh

Turkish J. Electr. Eng. Comput. Sci., 2017