About me
Hi! My name is Javier (pronounced like ha-bee-air). I am a fourth year PhD Candidate in the Signal and Image Processing & Machine Learning (SIPML) track of the Electrical and Computer Engineering (ECE) department at the University of Michigan. I am co-advised by Laura Balzano and Jeffrey Fessler. I collaborate with Scott Peltier from the Biomedical Engineering (BME) department. I am fortunate to be partially supported by the Rackham Merit Fellowship. My research interests are topics such as signal/image processing, machine learning, deep learning, medical imaging, optimization, and applied math.
My research so far focuses on the following:
- Designing machine learning algorithms to better handle heteroscedastic (noisy) data distributions such as:
- Subspace basis estimation of low-rank data with an improved PCA-like algorithm (ALPCAH)
- Unsupervised learning of low-rank data clusters with an improved “K-means” style algorithm (ALPCAHUS)
- Alzheimer’s disease in resting state / task-based functional MRI data with novel deep learning approaches such as:
- Learning spatial-temporal 4D kernels to handle 4D spatial-temporal rs-fMRI data for disease diagnosis (4D CNN - ISMRM25)
- Learning temporal dynamics of BOLD timeseries data for behavior score regression and outlier detection of non-healthy subgroups (ongoing)
- Miscellaneous works:
- Smooth optimization algorithms for global and locally low-rank regularizers (under review)
- Deep unsupervised support vector machines (SVMs) for imbalanced data clusters (ongoing)
In the navigation bar above, I have various sections available ranging from:
- Publications = Publications and preprints
- Talks = Talks/Presentations over the years at various academic groups/conferences
- Teaching/Awards = Teaching experience and academic awards received over the years
- Industry = Industry experience and portfolio
- Grad Work = Graduate portfolio and projects
- Undergrad Work = Undergraduate portfolio and projects
- Certs = Certifications ranging from IT, 3D mechanical design, and more
- CV = A one page resume and university transcripts