Motivated Data Scientist with a strong foundation in machine learning, deep learning, and computer vision. Passionate about advancing research in anomaly detection and multimodal learning, with published and under-review work in leading venues. Dedicated to pursuing graduate studies to deepen theoretical understanding, contribute to impactful AI research, and develop innovative data-driven solutions to real-world problems.
My research interests include Machine Learning and Computer Vision, with a specific focus on Topological Deep Learning, Industrial Anomaly Detection, and Multimodal Sensor Fusion. My work has been accepted at international venues such as DICTA 2025 and the IEEE Sensors Journal , and I was recognized with 1st Position in my academic cohort during my studies.
You can find my publications on 
🔥 News
- 2026.01: 🎉🎉 Hypergraph Contrastive Sensor Fusion for Multimodal Fault Diagnosis in Induction Motors [IEEE Sensors Journal].
- 2025.12: 🎉🎉 2D-3D Feature Fusion via Cross-Modal Latent Synthesis and Attention-Guided Restoration for Industrial Anomaly Detection [DICTA 2025].
📝 Publications
Hypergraph Contrastive Sensor Fusion for Multimodal Fault Diagnosis in Induction Motors
Usman Ali, Ali Zia, Waqas Ali, Umer Ramzan, Abdul Rehman, Muhammad Tayyab Chaudhry, Wei Xiang
Usman Ali, Ali Zia, Abdul Rehman, Umer Ramzan, Zohaib Hassan, Talha Sattar, Jing Wang, Wei Xiang
🎖 Honors and Awards
- 2022.07 I have received a Certificate of Achievement for securing 1st Position in my BS Data Science program during the Spring 2022 semester at GIFT University.
📖 Educations
- 2021.12 - 2025.10, Bachelor of Data Science, GIFT University, Gujranwala.