--
✖
Md Ashiqur Rahman
☯️

1class ContactInformationCard:
2 def __init__(self):
3 self.dept = "cs @ Purdue"
4 self.lab = ""
5 self.email = "rahman79@purdue.edu"
6 self.phone = ""
7
8 def flipCard(self):
9 print("tap on the card to flip.")
10
11 def closeCard(self):
12 print("tap outside to close it.")

Md Ashiqur Rahman

Md Ashiqur Rahman /æʃɪk/ 🎧

I am a final year Ph.D. student in Computer Science at Purdue University, advised by Professor Raymond A. Yeh. I have completed my bachelor's degree in Computer Science and Engineering from the Bangladesh University of Engineering and Technology (BUET), where I worked with Professor Md. Shamsuzzoha Bayzid.

My research unifies geometric principles, signal processing techniques, and group theory to develop more robust, consistent, and safe AI systems.

Computer Vision: Geometric Deep Learning, Equivariant Neural Networks
Operator Learning: Solving PDEs, Scientific Machine Learning

For feedback, advice, or simply to connect, please feel free to leave an anonymous message.

🏛️ Affiliations

PhD, Purdue University 2021 - Present
Autodesk Research Summer 2025
NVIDIA Research Summer 2023
Bangladesh University of Engg. & Tech. 2015 - 2019

📜 Updates

April 2026
I am awarded The Bilsland Dissertation Fellowship!
March 2026
I will present my paper on 'Tunable Soft Equivariance' at CVPR 2026!
Aug 2025
Two papers accepted at ICCV 2025!
May 2025
I will spend my summer as AI Research Intern at Autodesk!
April 2025
I will attend ICLR 2025 in Singapore.
December 2024
I will attend NeurIPS 2024 in Vancouver, Canada.

📚 Publications

Tunable Soft Equivariance with Guarantees

CVPR 2026
Md Ashiqur Rahman, Lim Jun Hao, Jeremiah Jiang, Teck-Yian Lim, Raymond A. Yeh.
PDF CODE

CLIPSym: Delving into Symmetry Detection with CLIP

ICCV 2025
Tinghan Yang, Md Ashiqur Rahman, Raymond A. Yeh
PDF CODE

Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer

ICCV 2025
Md Ashiqur Rahman, Chiao-An Yang, Michael N. Cheng, Lim Jun Hao, Jeremiah Jiang, Teck-Yian Lim, Raymond A. Yeh
PDF CODE WEBSITE

Group Downsampling with Equivariant Anti-aliasing

ICLR 2025
Md Ashiqur Rahman, and Raymond A. Yeh.
PDF CODE DEMO TUTORIAL

Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs

NeurIPS 2024
Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar
PDF CODE DEMO

Truly Scale-Equivariant Deep Nets with Fourier Layers

NeurIPS 2023
Md Ashiqur Rahman, and Raymond A. Yeh.
PDF CODE DEMO POSTER

U-NO: U-shaped Neural Operators

Transactions on Machine Learning Research 2023
Md Ashiqur Rahman, Zachary E. Ross, Kamyar Azizzadenesheli.
PDF CODE DEMO

Generative Adversarial Neural Operators

Transactions on Machine Learning Research 2022
Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli.
PDF CODE

PaCMO: Partner Dependent Human Motion Generation in Dyadic Human Activity using Neural Operators

ArXiv 2022
Md Ashiqur Rahman, Jasorsi Ghosh, Hrishikesh Viswanath, Kamyar Azizzadenesheli, Aniket Bera.
PDF

BEENE: Deep Learning-based Nonlinear Embedding Improves Batch Effect Estimation

Bioinformatics, Volume 39, 2023
Md Ashiqur Rahman, Abdullah Aman Tutul, Mahfuza Sharmin, Md. Shamsuzzoha Bayzid
PDF CODE

CHAPAO: Likelihood and hierarchical reference-based representation of biomolecular sequences and applications to compressing multiple sequence alignments

PLOS ONE 2022
Md Ashiqur Rahman, Abdullah Aman Tutul, Sifat Muhammad Abdullah, Md. Shamsuzzoha Bayzid.
PDF CODE

⛏️ Resources

All software releases of the above projects can also be found here!

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