Manal Hasan

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Manal Hasan

Viena and Zakir Ibrahim HU TOPS Scholar

Graduate of 2026
BS Computer Science

Aspiration Statement

My will to learn keeps me motivated. That’s why I’m drawn to AI or Software Engineering fields where innovation never stops and there’s always an opportunity to build and learn.

Core Skills

  • Computer Vision
  • Cpp
  • Deep Learning
  • Python
  • Sql

Core Competencies

  • Encourages Innovation
  • Problem Solving
  • Takes Initiative

Preferred Career Paths

First priority: Software Engineer

Second priority: AI/ML - CV Engineer

Third priority: Data Scientist

Academic Awards / Achievements

  • Dean's List 2024, 2025
  • President's List 2025

Experience

Leadership / Meta-curricular

  • Vice President, Wise (Women in Science and Engineering)
  • Google Developers Group On Campus - Co- Lead
  • Vice Chair - Communications Cabinet, Habib University Student Government
  • Member - Communications Cabinet, Habib University Student Government
  • Leap - Student Mentor

Internship / Volunteer Work

  • Software Engineering Intern, Motive (June – September 2025)
  • Teaching Assistant - Artificial Intelligence, Habib University (September – December 2025)
  • Teaching Assistant - Computer Architecture, Habib University (January – May 2025)
  • Teaching Assistant - Discrete Mathematics, Habib University (January – May 2024)

Publications / Creative Projects

  • Research Paper – Research Paper titled ML‑Driven Distribution Network Aggregation Considering Load and Inverter‑Based Resources, presented in INMIC 2024
  • Research Paper – Research Paper for SEM-EVAL 2026 TASK 9: Multilingual, Multicultural, and Multievent Online Polarization

Final Year Project

Project Title

Habib University Digital Twin

Description

My Final Year Project focuses on a Digital Twin system for a university laboratory to improve campus management and operational efficiency. Our project aims to address this by creating a proof-of-concept digital twin that provides a live virtual representation of the lab environment. The system integrates three key components: occupancy detection, emergency response support, and an energy management dashboard. By combining these functions into a single platform, the project helps administrators visualize occupancy, respond faster during emergencies, and optimize energy usage. Overall, the goal is to demonstrate how smart, data-driven systems can make campus spaces safer, more efficient, and easier to manage.

Project Pictures