I am a graduate student at the Compputer Science department at UW-Madison. I am graduating with a masters degree in Computer Science in May 2024. My interests are primarily in Machine Learning and ML systems. I am passionate about building scalable and reliable ML systems. I hold a Bachelor's degree in Computer Science from Carnegie Mellon University (2018). After that, I worked at Qatar Computing Research Institute Data Analytics team where I was advised by Ashraf Aboulnaga.

Publications

• Rdfframes: Knowledge graph access for machine learning tools (The VLDB Journal 2022)
• (Demo) Rdfframes: Knowledge graph access for machine learning tools (VLDB 2020)
  Aisha Mohamed, Ghadeer Abuoda, Abdurrahman Ghanem, Zoi Kaoudi, Ashraf Aboulnaga
  [PDF] [video] [Demo PDF] [Code]

• Popularity agnostic evaluation of knowledge graph embeddings (UAI 2020)
  Aisha Mohamed, Shameem Parambath, Zoi Kaoudi, Ashraf Aboulnaga
  [PDF] [video]

News

• TA for CS400 (Advanced data structures and Linux tools), UW-Madison, Spring 2024
• TA for CS300 (Programming II in Java), UW-Madison, Spring 2021 - Spring 2023
• Summer Internship as an Applied Scientist at Amazon, Summer 2022
• My Rdfframes paper accepted at VLDB Journal 2022
• My paper accepted at UAI 2020
• My demo paper accepted at VLDB 2020
• Received Best Scientific Content award ‐ NewInML, NeurIPS 2019
• Graduated with a B.S. in CS from CMU with college honors, univeristy honors and Andrew Carnegie Scholar honor