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Mamona Sadaf

NUST · 2026

mamonasaeed188@gmail.com

Phone

923153785347

https://www.linkedin.com/in/mamona-sadaf-a36275267/

GitHub

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Academic

Program

BS Electrical Engineering

CGPA

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Year

2026

Education

SEECS

Address

BHOLA CHAK NO.178 POST OFFICE: PANWAN, SAHIBTEHSIL:SHAHKOT, DIST:NANKANA , Shahkot , Pakistan

DOB

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Career

Current role

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Target role

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Skills

O-RAN, srsRAN, UERANSIM, free5GC, Open5GS, VPP, MPLS, Linux, Shell Scripting, Python, NumPy, Pandas, Scikit-learn, OpenCV, TensorFlow/Keras, PyTorch, ANNs, CNNs, C/C++/C#, MATLAB, Simulink, SMC, ISMC, ISTSMC, AI-based optimization algorithms, wireless charging system, hybrid electric vehicles, telecommunications engineering, network optimization, AI/ML-driven communications, software-defined networking, machine learning applications for network intelligence, 5G/6G RAN engineering, network automation, telecom R&D

Verbatim text

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Mamona Sadaf
Cell: 923153785347 |  Email: mamonasaeed188@gmail.com
LinkedIn: https://www.linkedin.com/in/mamona-sadaf-a36275267/
Address: BHOLA CHAK NO.178 POST OFFICE: PANWAN, SAHIBTEHSIL:SHAHKOT, DIST:NANKANA , Shahkot , Pakistan
PROFESSIONAL PROFILE
Final-year Electrical Engineering student at NUST seeking opportunities in telecommunications engineering, network optimization, or
AI/ML-driven communications. Currently working on intelligent resource allocation in O-RAN architecture, with strong expertise in
next-generation telecom technologies, software-defined networking, and machine learning applications for network intelligence.
Focused on contributing to 5G/6G RAN engineering, network automation, or telecom R&D roles where I can apply technical skills to
advance intelligent, programmable communication systems.
EDUCATION
BS Electrical Engineering
SEECS , Islamabad (2026)
INTERNSHIP EXPERIENCE
DRONEXT
16-Jun-2025 - 16-Aug-2026
Worked as a Research Intern in the Department of Electrical Engineering at NUST, where I developed and optimized a wireless
charging system for hybrid electric vehicles. Implemented advanced control techniques (SMC, ISMC, ISTSMC) and AI-based
optimization algorithms in MATLAB/Simulink, improving charging eﬃciency to approximately 97%. Conducted system modeling,
simulations, and documented the results.
FINAL YEAR PROJECT
Intelligent Resource Allocation in O-RAN
The Open Radio Access Network (O-RAN) architecture introduces openness, programmability, and intelligence into the RAN
ecosystem. By leveraging AI/ML techniques, O-RAN enables eﬃcient and adaptive resource allocation, improving spectrum
utilization, user experience, and energy eﬃciency. Key components of O-RAN include: • Near-Real-Time RIC (Near-RT RIC):
Executes control decisions within ~10 ms to 1 s. • Non-Real-Time RIC (Non-RT RIC): Provides policy guidance, analytics, and AI/ML
model training (time scales of seconds to hours). This project focuses on designing and implementing a framework for intelligent
resource allocation in O-RAN, which may include use cases such as dynamic spectrum allocation, traﬃc load balancing, QoS-aware
scheduling, or energy-eﬃcient resource management. The solution will be tested and validated in a virtualized O-RAN environment
using open-source platforms (e.g., OSC RIC, ONF SD-RAN, or OAI).
TECHNICAL EXPERTISE
Telecom & Networking Technologies
O-RAN, srsRAN, UERANSIM, free5GC, Open5GS, VPP (Vector Packet Processing), MPLS, Linux, Shell Scripting
ML & Computer Vision
Python, NumPy, Pandas, Scikit-learn, OpenCV, TensorFlow/Keras, PyTorch, ANNs, CNNs
Programming Languages
Python, C/C++/C#, MATLAB, Simulink
Tools and Technologies

AI enrichment

Mamona Sadaf is a final-year BS Electrical Engineering student at NUST specializing in telecommunications, O-RAN architecture, and AI/ML applications. She has practical experience in wireless system optimization through a research internship and is developing intelligent resource allocation frameworks for her final year project.

Skills (AI)

["O-RAN", "Python", "MATLAB", "Simulink", "Machine Learning", "Deep Learning", "TensorFlow", "PyTorch", "C/C++", "Linux", "Shell Scripting", "5G/6G RAN", "Network Optimization", "Computer Vision"]

Status: ai_done

Provenance

Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 10
Created: 1778168427