M.Sc. Student / Tampere University

Alireza Ramyad

Satellite communications and GNSS receiver design. Future wireless systems and AI-assisted signal processing.

Signal acquired / 4 satellites / PDOP 1.2

Satellite Communications Wireless Networks Signal Processing AI / ML

About

Bridging computer engineering and future wireless systems

I started in computer engineering because I liked understanding how software and systems work together. During my master's at Tampere University, that curiosity moved toward wireless communication: how a receiver finds and follows a weak signal, what a satellite link is doing under the hood, and where learning-based methods can genuinely help.

Right now, I learn best by building. My GNSS tracking models and Python projects are how I turn theory into something I can inspect, test, and improve. I am preparing for my first research project through my master's thesis, with a particular interest in AI-assisted satellite and future wireless systems.

Program
Communication Systems and Networks
University
Tampere University, Finland
Academic Focus
Satellite communications, 5G/6G, GNSS, RF systems
Tools
Python, MATLAB, Simulink, NumPy, Matplotlib, Pandas, TensorFlow

Selected Work / 03 Projects

Practical projects across GNSS, signal tracking, and algorithmic AI

GPS code tracking Simulink model overview
MATLAB / Simulink Delay Lock Loop

GPS Code Tracking DLL

Complete GPS L1 C/A code tracking model using early-prompt-late correlators, integrate-and-dump accumulators, a non-coherent DLL discriminator, and sensitivity analysis under SNR and integration-time variations.

DLL GNSS Code Tracking Receiver Design
View repository
Python chess AI game animation with scoreboard
Python Bachelor's Final Project

Python Chess AI Game

Full chess game built with Python and Pygame, including player-versus-player, player-versus-AI, and AI-versus-AI modes. The engine uses Negamax search, Alpha-Beta pruning, and piece-square evaluation tables.

Negamax Alpha-Beta Pygame Game AI
View repository

Research Direction

Preparing for thesis work in AI-assisted satellite and wireless systems

I am building toward thesis and research work where communication systems, satellite networks, and machine learning meet. The current direction includes ML-based channel estimation, resource management for NTN/LEO networks, and signal processing for GNSS and future wireless receivers.

01 Signal Models

Receiver tracking, carrier/code synchronization, RF and wireless fundamentals.

02 Satellite Systems

GNSS, NTN, LEO networks, satellite positioning and communication links.

03 AI Methods

Learning-based estimation, resource allocation, and data-driven communication tools.

Experience

Technical support, systems thinking, and practical problem solving

Oct 2022 - Nov 2023

Engineer Intern / Oloompezeshki

Gained practical experience in IT and technical support, assisted with system analysis and data processing tasks, and contributed to networking-related solutions.

2025 - Present

M.Sc. Student / Tampere University

Studying communication systems and networks with a focus on satellite communications, wireless systems, RF fundamentals, GNSS, and AI applications.

Contact

Collaboration

Open to thesis projects, research and project assistant roles, and both part-time and full-time opportunities

01 LinkedIn

Research direction, study updates, and professional contact