Yassin Riyazi

About My self

I Yassin Riyazi As a Mechanical engineer with a passion for robotics and artificial intelligence, I thrive on designing innovative solutions that bridge the gap between cutting-edge technology and mechanical systems. My expertise lies in leveraging AI-driven automation to enhance robotics applications, creating efficient and intelligent machines that drive progress in diverse industries.

Research Interest:

Deep-Neural Networks	Adaptive Control
Data-driven methods	Robotics
Nonlinear Vibration	Reinforcement learning

Future Paper:

Enhancing Duffing Oscillator Analysis: Koopman Operator and Deep Neural Networks for Parameter Estimation, Future Prediction, and Bifurcation Capture under Varying Frequency Excitation.

Y.Riyazi, and A.Bahrami* {In preparation}

[Abs] [Slides] [Code]

Leveraging Koopman operator and Deep Neural Networks for Parameter Estimation and Future Prediction of Cable soft robot

S.Abbasi, Y.Riyazi, G.Vossoughi*, and A.Bahrami* {In preparation }

[Abs] [Slides] [Code]

Journal Paper:

Conference Paper:

5.Performance improvement of automated parking by considering road incline and wheel slippage

A. Anisi, and S. M. Ayati*, Y.Riyazi, and A. Asadian, {Submitted - ICEE2024}

[Abs] [Slides]

4.Gearbox Fault Detection Using Continuous Wavelet Transform and Vision Transformer (ViT)

A. Asadian, Y.Riyazi, and S. M. Ayati* {Submitted - ICEE2024}

[Abs] [Slides] [Code]

3.High-Resolution Remote Sensing Image Captioning Based on Structured Attention and SAM Network

Y.Riyazi, S. M. Sadjadi, A. Zohrevand, and R. Hosseini* {submitted ICEE2024}

[Abs] [Slides] [Code]

2.Enhanced Gearbox Fault Diagnosis with Fusion LSTM-CNN Network.

N.Ghanbari, Y.Riyazi, F.A.Shirazi* and A. Kalhor* {Published ISAV2023}

[Abs] [Slides] [Code]

1.Leveraging Koopman operator and Deep Neural Networks for Parameter Estimation and Future Prediction of Duffing oscillators.

Y.Riyazi, N.Ghanbari, and A.Bahrami* {Published ISAV2023}

[Abs] [Slides] [Code]

Selected Projects:

Hover your mouse over the area outside the gallery below to view the description. Feel free to click on the slides to open the corresponding GitHub repository.