activity
20242026
most citedModel Predictive and Reinforcement Learning Methods for Active Flow Control of an Airfoil with Dual-point Excitation of Plasma Actuators

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

quant-ph2026

Fidelity-informed neural pulse compilation of a continuous family of quantum gates with uncertainty-margin analysis

Arash Fath Lipaei, Ebrahim Khaleghian, Gani Göral +3

We develop a fidelity-informed neural pulse-compilation framework for a continuous family of single-qubit gates on a three-qubit liquid-state nuclear magnetic resonance (NMR) proce…

cs.NE2025

Physics-Structured Surrogate Modeling and Conformal Robust Multipoint Optimization for Glider Wing Design

Arash Fath Lipaei, AmirHossein Ghaemi, Melika Sabzikari

Aerodynamic design using surrogate assistance can lower the cost of concept design. Point accuracy, however, is not enough to ensure that the optimizer does not exploit any part of…

physics.flu-dyn20253 cited

Model Predictive and Reinforcement Learning Methods for Active Flow Control of an Airfoil with Dual-point Excitation of Plasma Actuators

AmirHossein Ghaemi, Abbas Ebrahimi, Majid Hajipour +2

This study investigates the effectiveness of Model Predictive Control (MPC) and Reinforcement Learning (RL) for active flow control over a NACA 4412 airfoil near static stall at Re…

quant-ph2024

Development of Neural Network-Based Optimal Control Pulse Generator for Quantum Logic Gates Using the GRAPE Algorithm in NMR Quantum Computer

Ebrahim Khaleghian, Arash Fath Lipaei, Abolfazl Bahrampour +2

In this paper, we introduce a neural network to generate optimal control pulses for general single-qubit quantum logic gates, within a Nuclear Magnetic Resonance (NMR) quantum comp…