Computer Engineering student working on networked devices, sensor data, telemetry pipelines, reliable monitoring, and applied machine learning.
I am a Computer Engineering student at Isfahan University of Technology.
My primary focus is networked embedded and IoT systems. I work on projects that connect microcontrollers, sensors, communication modules, computer networks, user interfaces, and monitoring software into testable end-to-end systems.
I use applied machine learning, sensor fusion, estimation, and control as supporting areas where they add practical value to sensing, monitoring, reliability, and decision-making.
I try to support project claims with working code, hardware tests, logs, datasets, plots, metrics, or reproducible experiments. Limitations and unfinished parts are documented rather than hidden.
Devices and Sensors
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Embedded Systems
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Communication and Connected Infrastructure
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Monitoring, Estimation, Control, and Applied Intelligence
| Track | Start here |
|---|---|
| Embedded Systems & IoT — primary | Featured projects below |
| Control, Estimation & Autonomous Systems | Focused portfolio |
| Computer Networks & Networked Systems | Focused portfolio |
| Applied AI & Machine Learning | Selected AI/ML work |
| Project | What I worked on |
|---|---|
| Cellular DTMF Control | STM32F407 and SIM800C cellular communication, hardware-validated call/DTMF work, embedded HMI development, and modem/network diagnostics |
| IoT Digital Twin ML Pipeline | ESP32 telemetry, MQTT communication, Node-RED monitoring, and ML-based sensor analysis |
| TinyML Embedded Condition Monitor | ESP32 sensor monitoring, real data collection, embedded inference, and local visual and audible alerts |
| Embedded IMU Attitude Estimation | MPU6050 calibration, ESP32 firmware, complementary filtering, high-rate logging, OLED output, and hardware testing |
| Ball and Beam Hardware Control | ESP32-based sensing, servo actuation, feedback-control experiments, and documented hardware-prototype testing |
| Network Lab Final Project | VLANs, dynamic routing, redistribution, ACLs, NAT, DHCP, HSRP, and network verification in Packet Tracer |
- Secure IoT Sensor Anomaly Detection
- Time-Series Motor Fault Detection
- Battery Health Forecasting Baselines
- Industrial Surface Defect Classification
- Focused Control & Estimation portfolio
- Adaptive Mobile Navigation Fusion
- Embedded IMU Attitude Estimation
- Ball-and-Beam Hardware Control
- Sensor Fusion State Estimation
- Evolutionary Control Tuning
- Focused Networking portfolio
- Network Lab Final Project
- IoT Facility Network Monitoring
- Networking & SDN Coursework Index
- Undergraduate Coursework Archive — selected B.Sc. projects in algorithms, software, databases, operating systems, FPGA/embedded systems, computer networks, and network security
- STM32 and ESP32 firmware, sensor integration, and hardware bring-up;
- UART, SPI, I2C, GPIO, keypad input, TFT/OLED interfaces, and embedded HMI development;
- cellular/GSM communication, MQTT telemetry, Node-RED dashboards, and IoT data pipelines;
- routing, switching, VLANs, ACLs, NAT, DHCP, redundancy, SDN, and network verification;
- applied AI/ML for anomaly detection, fault classification, condition monitoring, and embedded inference;
- filtering, sensor fusion, state estimation, control, path planning, and signal analysis;
- Python, C, C++, SQL, Verilog, Linux/Bash, Git/GitHub, pandas, scikit-learn, and PyTorch.
Primary focus: networked embedded and IoT systems — extended with estimation, control, and applied intelligence.