Aleesha Waqar
NUST
· 2026
·
417349
Email
awaqar.bee22seecs@seecs.edu.pk
Phone
923485886156
GitHub
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Academic
Program
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CGPA
2.87
Year
2026
Education
BE Electrical Engineering
SEECS , Islamabad , 3.05/4 (2026)
Address
HOUSE NO 123 C STREET 10 FAISAL COLONY GULZAREQUAID NEAR OLD AIRPORT RAWALPINDI , Rawalpindi , Pakistan
DOB
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Career
Current role
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Target role
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Skills
PROFESSIONAL PROFILE
Please update objective section.
EDUCATION
BE Electrical Engineering
SEECS , Islamabad , 3.05/4 (2026)
INTERNSHIP EXPERIENCE
Dawlance
22-Jul-2024 - 31-Aug-2024
Prototyped and deployed two projects ”IoT-Driven VFD Control” and ”Data logger with SD card module and REST APIs” at Dawlance
DPL-1 building 7. Data logger with SD card module and REST APIs: Records changes in ambient temperature, humidity, air quality,
and heat index via sensors at regular intervals using ESP 8266, RTC module and store them on SD card and REST API interface
opens the door to monitoring and management of our data logger remotely IoT-Driven VFD Control Framework: An IoT-based control
that enables remote monitoring and management of VFD via Modbus Communication HTTP protocol, with the ability to read and set
parameters from control room. System integrates Wi-Fi and web interface.
AICP, Islamabad Pakistan
01-Nov-2023 - 30-Dec-2023
Applied object-oriented programming principles in C++ to design and implement key features for project. Gained hands-on
experience in the full software development lifecycle, from requirements gathering to testing and deployment.
Optical Networks and Technologies (ONT) Lab, SEECS, Islamabad (Research Assistant)
02-Jun-2025 - 14-Jan-2026
5G Testbed with Optical Backhaul and O-RAN Integration: Deployed a standalone 5G network using FREE5GC and UERANSIM in
virtual machines, interconnected via a 25km physical optical backhaul. Performed various tests to determine network performance
under heavy traffic. ML-Powered Anomaly Detection for Telecom Networks: Designed and deployed a hybrid machine learning
system on 4G KPI data. Engineered a Streamlit application for automated anomaly detection and report generation
CNIT Pisa, Italy and Scuola Superiore Sant’Anna, Pisa, Italy (Research Assistant in collaborative research
project )
01-Sep-2025 - 22-Oct-2026
Collaborative Research: Dynamic URLLC/eMBB QoS Slicing over Optical xHaul for 5G/6G O-RAN Integration. Submitted to OFC
Conference 2026, LA Convention Center, California, USA.
FINAL YEAR PROJECT
Intelligent Resource Allocation in ORAN(open radio access network)
Working on standard aligned MPLS QoS for ORAN xHaul.
TECHNICAL EXPERTISE
Finalist, Huawei National ICT Competition (Network Track)
Secured 20th rank nationwide and won a $200 voucher for the HCIA 5G RAN certification course.
AI enrichment
Please update objective section.
Status: ai_done
Provenance
Source file: —Created: 1777448793