cv

PhD

• Computer Science and Engineering Department
• Data Science and AI Division
• Thesis:
  • title: Machine Learning over Networks
  • supervisor: Ashkan Panahi

MSc

• Electrical Engineering Department
• Thesis:
  • title: Two Dimensional Dictionary Learning and its Application in Image Denoising
  • supervisor: Massoud Babaie-Zadeh
• Total GPA: 16.12/20 (3.30/4)

BSc

• Electrical and Computer Engineering Department
• Thesis:
  • title: Implantable GPS Trackers
  • supervisor: Shahrooz Asadi
• Total GPA: 17.16/20 (3.55/4)

Asynchronous Decentralized Optimization with Constraints, Achievable Speeds of Convergence for Directed Graphs

• Firooz Shahriari-Mehr, and Ashkan Panahi.
• arXiv preprint arXiv:2401.03136.

Double Averaging and Gradient Projection, Convergence Guarantees for Decentralized Constrained Optimization

• Firooz Shahriari-Mehr, and Ashkan Panahi.
• arXiv preprint arXiv:2210.03232.

Decentralized constrained optimization, Double averaging and gradient projection

• Firooz Shahriari-Mehr, David Bosch, and Ashkan Panahi.
• In 2021 60th IEEE Conference on Decision and Control (CDC).

New Dictionary Learning Methods for Two-Dimensional Signals

• Firooz Shahriari-Mehr, Javad Parsa, Massoud Babaie-Zadeh, and Christian Jutten.
• In 2020 28th European Signal Processing Conference (EUSIPCO).

Machine Learning over Networks

• Taught by:    Carlo Fischione

Continuous Optimization in Data Science

• Taught by:    Ashkan Panhi

Learning Theory

• Taught by:    Alexandre Proutiere, Cristian Rojas

Artificial Intelligence and Machine Learning

• Taught by:    Amy Loutfi, Yurii Malitskyi, Thomas Schön

Information Theory

• Taught by:    Giuseppe Durisi

Software Engineering and Cloud Computing

• Taught by:    Benoit Baudry, Paul Townend

Deep Learning

• Taught by:    Emad Fatemi-Zadeh

Blind Source Separation & Sparse Signals

• Taught by:    Massoud Babaie-Zadeh

Spectrum Estimation

• Taught by:    Mohammad-Hassan Bastani

Continuous Optimization in Data Science

Applied Machine Learning

Introduction to Data Science and AI

Thesis Supervision

• Academic Thesis: Bot or Human, Identifying Bot-Generated Clicks Using Machine Learning
• Industrial Thesis: Detection of malignant melanomas using neural networks

Blind Source Separation and Sparse Signals

Adaptive Filters