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Rabia Rani

NUST · 2026 · 408315
Email
rrani.bee22seecs@seecs.edu.pk
Phone
03117782679
LinkedIn
GitHub

Academic

Program
CGPA
3.25
Year
2026
Education
Bachelor of Electrical Engineering School of Electrical Engineering and Computer Science (SEECS) , Islamabad , 3.25 (2026)
Address
Salemi Town, Near Eid Gha Masjid, Jalal Pur Jattan , Gujrat , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE Electrical Engineering graduate from NUST with hands-on experience in embedded systems, IoT, and digital communication. Skilled in developing and integrating hardware-software solutions using microcontrollers (ESP32, Arduino, ATmega) and communication protocols (UART, SPI, I²C). Experienced in RF signal processing, SDR applications, and LoRa technology, with strong expertise in GNU Radio and PlutoSDR. Proficient in machine learning for IoT security applications, including RF fingerprinting using deep learning models. Strong foundation in computer architecture, digital system design, and FPGA-based prototyping. Adept at problem-solving, hardware debugging, and end-to-end system development, with practical experience in MATLAB, Python, Verilog, and industry-standard engineering tools. EDUCATION Bachelor of Electrical Engineering School of Electrical Engineering and Computer Science (SEECS) , Islamabad , 3.25 (2026) INTERNSHIP EXPERIENCE Smart Agri-Tech Lab, SINES, NUST 09-Jun-2025 - 31-Aug-2025 • Worked on GNU Radio for implementing and simulating digital communication systems. • Designed and tested signal processing blocks for Software Defined Radio (SDR) applications. • Utilized PlutoSDR for RF signal transmission and reception experiments. • Investigated LoRa physical layer implementation and IQ sampling techniques. EmbedAIOT 01-Jun-2024 - 31-Aug-2024 • Worked with ESP32 microcontroller, developing and testing embedded applications for IoT-based systems. • Integrated multiple sensors and modules using communication protocols such as I2C, SPI, and UART. • Implemented basic PCB design, including schematic creation and component placement. • Performed hardware debugging, testing, and system integration to ensure reliable operation. FINAL YEAR PROJECT RF Fingerprinting for IoT Device Security Using Deep Learning This project explores RF fingerprinting as a hardware-intrinsic security solution for large-scale IoT systems. A deep learning–based model is developed to classify and authenticate IoT devices using their unique radio-frequency characteristics, providing physical- layer protection against device spoofing attacks. TECHNICAL EXPERTISE Programming Languages Assembly, C, C++, Python, Verilog Embedded Systems • Hands-on experience with Arduino, ESP32, and ATmega microcontrollers. • Sensor and peripheral interfacing for real-time embedded applications. • End-to-end embedded system development, from hardware to firmware. • Proficient in communication protocols: UART, SPI, and I²C. • IoT system design and int ... Software & Engineering Tools

AI enrichment

Electrical Engineering graduate from NUST with hands-on experience in embedded systems, IoT, and digital communication. Skilled in developing and integrating hardware-software solutions using microcontrollers (ESP32, Arduino, ATmega) and communication protocols (UART, SPI, I²C). Experienced in RF signal processing, SDR applications, and LoRa technology, with strong expertise in GNU Radio and PlutoSDR. Proficient in machine learning for IoT security applications, including RF fingerprinting using deep learning models. Strong foundation in computer architecture, digital system design, and FPGA-based prototyping. Adept at problem-solving, hardware debugging, and end-to-end system development, with practical experience in MATLAB, Python, Verilog, and industry-standard engineering tools.
Status: ai_done
Provenance
Source file:
Created: 1777448793