Fizza Rubab

I am a PhD student at Michigan State University supervised by Prof. Yiying Tong. My research has been generously supported by MSU University Distinguished Fellowship. Previously, I was a visiting research intern at Max Planck Institute for Informatics working on neural rendering at ISMaeL. Before that, I did my Bachelors from Habib University where I graduated with first rank, received the Chancellor's Yohsin Award, Dean's Medal and the Best Computer Science Research Award.

I have a broad interest in computer graphics and vision especially in geometry and image processing. My current research interests focuses on neural representations and operators for images and geometry.

Email  /  CV  /  LinkedIn  /  GitHub

profile photo

News

  • [Jul. 2026] Our paper "Compatibility of Face Embeddings Across Deep Neural Networks" is accepted in IJCB 2026.
  • [May. 2026] I was accepted into NSF Research Traineeship 2026-2027 cohort.
  • [Aug. 2025] Our paper "Learning Neural Antiderivatives" is accepted in VMV 2025.
  • [May. 2025] Our paper "Interactive Stroke-based Neural SDF Sculpting" is accepted in HPG 2025.
  • [Aug.2024] I started my PhD at Michigan State University.
  • [Jan.2024] I started working as a Visiting Research Intern at Max Planck Institute for Informatics.
  • [Nov.2023] I started working in Machine Learning team at Wolfram Research.
  • [Aug.2023] I started working as a Machine Learning Engineer at Farmevo.
  • [Jun.2023] I was accepted as a Summer Research Student at Wolfram Summer School.
  • [Jun.2023] Our paper on Prompt Emergency Response for Cardiac Arrest and Trauma is accepted to GHTC 2023.
  • [May.2023] I completed my undergraduate degree in Computer Science with a double minor in Electrical Engineering and Mathematics. Graduated first in class with the Dean's Medal.
  • [Mar.2023] Our paper titled "A Comparative Survey of Solutions to Russel's Paradox" is accepted to ICOMET 2023.
  • [Feb.2023] Our paper titled "Poet Attribution of Urdu Ghazals using Deep Learning" is accepted to ICAI 2023.

Publications

Compatibility of Face Embeddings Across Deep Neural Networks
Fizza Rubab, Yiying Tong and Arun Ross
International Joint Conference on Biometrics (IJCB), 2026
publication

We show that different face-recognition models encode facial identity in surprisingly similar ways, differing by little more than a linear mapping.

Learning Neural Antiderivatives
Fizza Rubab, Ntumba Elie Nsampi, Martin Balint, Felix Mujkanovic, Hans-Peter Seidel, Tobias Ritschel, Thomas Leimkühler
Vision, Modeling, and Visualization (VMV), 2025
publication

We introduce and analyze a range of neural methods for repeated integration and use them in convolution and rendering applications.

Interactive Stroke-based Neural SDF Sculpting
Fizza Rubab, Yiying Tong,
High Performance Graphics (HPG), 2025
publication

We introduce an interactive neural sculpting framework for stroke-based editing of 3D signed distance functions (SDFs).

Poet Attribution of Urdu Ghazals using Deep Learning
Iqra Siddiqui, Fizza Rubab, Haania Siddiqui, Abdul Samad
International Conference on Artificial Intelligence (ICAI), 2023
project page / publication

We curate an Urdu Poetry (Ghazal) dataset of 17000 couplets from 15 poets and perform classification using multilingual transformers

Prompt Emergency Response: PLSP Mobile Application for Effective Cardiac Arrest and Trauma Management in Pakistan
Shamsa Hafeez, Sameer Pervez, Ruhama Naeem, Fizza Rubab Syed Saleha Raza,
IEEE Global Humanitarian Technology Conference (GHTC), 2023
project page / video

We build a mobile application in collaboration with Aga Khan University Hospital to mobilize lifesavers trained for cardiac arrest and trauma injuries.

A Comparative Survey of Solutions to Russel's Paradox
Fizza Rubab, Shamsa Hafeez, Muhammad Hasham Qazi, Mujtaba Hassan Syed,
Badar Irfan Azeemi, Aeyaz Jamil Kayani
International Conference on Computing, Mathematics and Engineering Technologies (ICoMET), 2023
publication

We compare different solutions to the famous Russel's paradox shared by scientists in literature and comment on their feasability.

Teaching Experiences

Teaching Assistant, CSE335 Object-Oriented Software Development, Spring 2026
Teaching Assistant, CSE335 Object-Oriented Software Development, Fall 2025
Section Leader, CS106A Code In Place, Spring 2024
Section Leader, CS106A Code In Place, Spring 2023
HU Teaching Assistant, CS212 Natural Language Processing, Spring 2023
Teaching Assistant, CS212 Nature of Computation, Spring 2022
Teaching Assistant, MATH205 Linear Algebra, Spring 2022
Teaching Assistant, CS100 CS Freshmen Seminar, Fall 2021
Teaching Assistant, CS114 Discrete Mathematics, Spring 2021
Teaching Assistant, CS224 Object Oriented Programming, Spring 2021
HU Python Programming Bootcamp Instructor, Aga Khan School Garden

Credits to Dr. Jon Barron for sharing this template's source code