I'm Mohammadreza Heydarian.

Developed optimization and control algorithms for industrial wireless networks, focusing on MIMO-based Time-Sensitive Networking (TSN).
Designed and implemented a modular simulation framework in Python to model wireless channels, physical environments, mobility, and traffic behavior.
Achieved up to 300% improvement in network capacity for TSN traffic through advanced scheduling and resource allocation strategies.
Authored 1 peer-reviewed journal publication; 2 additional manuscripts under review and 1 in preparation.

Designed and developed a building information collection platform across backend (Node.js, MongoDB, SQLite), mobile (React Native), and web admin panel (Angular).
Implemented end-to-end features across the full development lifecycle, including backend services, API integration, and frontend interfaces.
Deployed and maintained a production system used by 40+ surveyors and administrators.

Developed native mobile applications for Android and iOS, implementing UI components and integrating backend APIs using Java (Android) and React Native.
Contributed to backend development by implementing server-side features in Java.
Delivered a production platform serving 50K+ active learners.

Developed a web-based admin panel for teacher and student management using Angular, including UI components and backend API integration.
Delivered a production system adopted by 10K+ students and education consultants.

Developed backend and frontend components for a social network engine (Motoshub) using JavaScript, PHP, and Android(Java).
Contributed to a nationally recognized project adopted by the Iranian Ministry of Higher Education.

Developed and released multiple Android applications using Java for production use.
Delivered applications adopted by 5K–20K users.

Developed and published multiple Android apps.
Built messaging systems and training applications.

Thesis: Software based networking for 6G
Focus: Time-Sensitive Networks, mmWave MIMO, wireless systems

Thesis: A real-time and energy-efficient infrastructure for computation offloading in IoT

Final Project: Smart Training and Flashcard Formation System

Designed and built an IoT-based smart home system using ESP32, Raspberry Pi, and environmental sensors.
Developed embedded software with Arduino/C++ for wireless sensor data collection and transmission.
Implemented server-side control logic to automate devices based on real-time sensor data.

Built a Python-based Telegram bot for investment fund reporting with Google Sheets integration.
Implemented features for portfolio updates, activity tracking, automated PDF report generation, and audit logging.
Structured using a layered, service-oriented architecture for maintainability and extensibility.

Developed an Android-based drone guidance system for civilian and emergency-response scenarios.
Implemented computer vision with OpenCV to track visual guidance markers and translate to control inputs.
Integrated DJI SDK for real-time drone control from an Android application.

Developed an Android VoIP client by compiling, embedding, and debugging the PJSIP stack.
Implemented core client functionality for use within a VoIP telephony system using Java (Android) and C.

Built a full-stack dispatching system including backend services, a mobile app (React Native), and an admin panel (Angular).
Designed the platform to connect customers with locksmiths and support service request management and dispatch operations.

Ranked 36th out of 30K candidates (~top 0.2%) in the Iranian National Graduate Entrance Exam (Master's level).

Ranked 126th out of 250K candidates (~top 0.05%) in the Iranian National University Entrance Exam (Bachelor's level).

Ranked 1st (High School) and 2nd (Middle School) in Provincial Entrance Exams for the National Organization for Development of Exceptional Talents (NODET / "Sampad").