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

01 / Identify — 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

02 / Track — Selected Work / 03 Projects

Practical projects across GNSS, signal tracking, and algorithmic AI

GPS code tracking Simulink model overview

RX-02 / Code Tracking

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

AI-03 / Search System

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

04 / Predict — 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.

05 / Log — 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.

06 / Uplink — Contact

Open a Channel

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

CH-01 Research Link

Thesis, research, and professional contact via LinkedIn