About
I am a Computer Science PhD student at UC Santa Cruz working under Narges Norouzi. I am researching self-supervised deep learning methods for biomedical data, including image recognition and signal processing. Moreover, I enjoy exploring the theoretical aspects of artificial intelligence, machine learning, and data science. I hold a Bachelor’s degree in Pure Mathematics from Pacific Lutheran University, located in beautiful Washington state.
Selected Publications
- Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis. Michael Briden, Narges Norouzi.
- Uniform Selection And Representation Matching: A Framework For Classifying Wound Healing Stage. Michael Briden, Narges Norouzi.
- Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis. Michael Briden, Narges Norouzi.
- WaveFusion Squeeze-and-Excitation: Towards an Accurate and Explainable Deep Learning Framework in Neuroscience. Michael Briden, Narges Norouzi.
Workshops/Conferences/Talks
- Towards Metacognition: Subject-Aware Contrastive Deep Fusion Learning for EEG Analysis. Michael Briden, Narges Norouzi, Neurovision Workshop at CVPR 2022. [paper][code]
- Deep Feature Learning to Model Brain Network Activities. Narges Norouzi, Michael Covarrubias , Michael Briden, Rafael Espericueta, 23rd International Conference on Information Fusion.
Research Positions
- Bioelectronic Intelligent Control of Wound Regeneration. Graduate Student Researcher.
Teaching Assistantships
- CSE 247: Master's Projects in AI
- CSE 140: Artificial Intelligence
- CSE 144: Applied Machine Learning
- CSE 20: Beginning Programming in Python