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.
In Submission
- Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis. Michael Briden, Narges Norouzi. accepted
- Fine-grained Cross-Layer Attention Framework for Wound Stage Classification. Keval Nagda, Michael Briden, Narges Norouzi. accepted
- Few-shot Classification of Healer vs. Non-Healer Wound Images. Shubham Mahajan, Anirudh Potlapally, Michael Briden, Narges Norouzi.
- Tell Me If It Heals: Future Wound Stage Prediction Through Latent Space Extrapol- ation. Anthony Liu, Saif Kausar, Michael Briden, Amir Mazaheri, Narges Norouzi.
- Robust and Explainable Wound Stage Classification.Theophanis Fox, Michael Briden, Narges Norouzi.
Publications
- WaveFusion Squeeze-and-Excitation: Towards an Accurate and Explainable Deep Learning Framework in Neuroscience. Michael Briden, Narges Norouzi. [paper][code]
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.
Other Projects
- Topological Data Analysis in Information Space for Confidence Analysis with Electroencephalogram Data & Horizontal Visibility. [paper]
- Classification of Electroencephalogram Data using SpectroImaging and Deep Neural Networks.
Teaching Assistantships
- CSE 247: Master's Projects in AI
- CSE 140: Artificial Intelligence
- CSE 144: Applied Machine Learning
- CSE 20: Beginning Programming in Python