OMEMA AHMED

OMEMA AHMED

Class of 2022
BS Computer Science
Minor: Mathematics

Aspiration Statement

I am really passionate about working with data and applying machine learning algorithms to solve real world problems. I also plan to pursue my postgraduate studies in Data Science.

Core Skills

  • Python
  • C++
  • MySQL
  • Research

Academic Awards / Achievements

  • Dean's List, Fall 2021

Experience

Leadership / Meta-curricular

  • Vice Lead, HU ACM Chapter 2021
  • Secretary General, CSEC (Computer Science & Engineering Club)
  • Core Lead, Event Hosting, WiSE (Women in Science & Engineering) Virtual Conference called Aitemad
  • Teaching Assistant for OOP, Data Structures & Algorithms, Database Systems, Computational Intelligence, Artificial Intelligence

Internship / Volunteer Work

  • Backend Engineer - Stellic
  • Product Development Intern — Integrations Xpert
  • Online Coding Instructor — Codeschool.pk
  • Al/ML Intern — ripe.ai

Publications / Creative Projects

  • Automation of Fabric Pattern Construction using Genetic Algorithm: Published a research paper in the international conference ISIVSI under Dr. Saleha Raza's supervision (http://www.ismsi.org/sub.html)
  • Abstract accepted at ASV Microbe in 2021 under Dr. Humaira Qureshi's supervision (https://asm.org/Events/ASV-Vicrobe/Home)

Final Year Project

Project Title

Project Fabricate

Description

The project aims to tackle the local textile industry in its application, where historically the industry has been solely dependent on human designers to create fabric prints. To help automate this process, our project uses deep learning techniques to generate patterns from an input sketch given by the designer, and in return provides a fully coloured and styled pattern. There has been little research conducted in the domain of sketch augmentation or textile pattern generation in computer science, and this project explores the application of modern machine learning techniques to solve these problems. The final version of the project would allow designers to include this application as a tool in their design process, accelerating the task of manually creating and designing patterns from scratch. This application would have a significant impact on the local industry, given Pakistan's cultural heritage and its manifestation in the form of textiles.