Rabia Rani
NUST
· 2026
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408315
Email
rrani.bee22seecs@seecs.edu.pk
Phone
03117782679
LinkedIn
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GitHub
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Academic
Program
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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
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Career
Current role
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Target role
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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