Graduate Researcher · CMU SCS

Ibrahim
Aldarmaki

About

Hi! I am a graduate student at the School of Computer Science at Carnegie Mellon University, where I am supervised by Prof. Bhiksha Raj. I am currently conducting research in Machine Learning and Deep Learning, with a primary focus on representation learning.

I am broadly interested in machine/deep learning, causality, and information theory. Prior to joining CMU, I was working at MBZUAI with Prof. Jin Tian and Prof. Kun Zhang on causality and machine learning.

Publications

2025

How Effective is Your Rebuttal? Identifying Causal Models from the OpenReview System

Loka Li*, Ibrahim Aldarmaki*, Minghao Fu, Wong Yu Kang, Yunlong Deng, Qiang Huang, Jing Yang, Jin Tian, Guangyi Chen, Kun Zhang

NeurIPS Workshop CauScien, 2025

2025

Wi-Fi Sensing for Motion Detection using ESP-32 and Raspberry Pi 4: A Comparison

Ibrahim Aldarmaki, Aysha Alteneiji, Kin Poon, Ubaid Ahmed, Ahmed Suliman

CCNCPS, 2025

2024

RelUNet: Relative Channel Fusion U-Net for Multichannel Speech Enhancement

Ibrahim Aldarmaki, Thamar Solorio, Bhiksha Raj, Hanan Aldarmaki

arXiv:2410.05019, 2024

Open-Source Projects

Navigating Through The Unknown (Kalman Filter) Notebook →

C(ube)ARnival (Augmented Reality) Notebook →

Deep Neural Networks for Direction of Arrival Estimation using Circular Microphone Arrays BEng Thesis →

Miscellaneous

Erdős № 4

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