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Aleesha Waqar

NUST · 2026 · 417349
Email
awaqar.bee22seecs@seecs.edu.pk
Phone
923485886156
LinkedIn
https://www.linkedin.com/in/aleesha-waqar-5a6974262
GitHub

Academic

Program
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

Career

Current role
Target role
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