My research focus centers on generative network models by combining methods in natural language processing and graph theory to learn the grammars of networks. In my free time you’ll find me fixing my house, running, sailing (less frequently nowadays), and spending time with friends, but most importantly with family, who are always reminding me to maintain a good sense of humor.
Scheduled defense on Nov 2017 15th - Aguinaga, S., Generative Networks by Learning Hyperedge Replacement Grammars (PhD thesis).
- Google Scholar Profile
Jun 2017 - Attending an presenting a poster at NetSci2017.
Jun 2017 - Growing Better Graphs with Latent-Variable Probabilistic Graph Grammars, Wang, et. al.; Paper under review.
Mar 2017 - Proposal funded: DOE Office of Science Graduate Student Research (SCGSR) Program award
HyperEdge Replacement Grammars Graph Model
Discovering the underlying structures present in large real-world graphs. Code
The Infinity Mirror Test
SIGKDD 2016 Workshop on Mining and Learning with Graphs, San Francisco, CA. Code, Paper
Automatically finding network architectures for Deep learning tasks
The difficulty of training deep neural networks (New).
Concept Hierarchies and Human Navigation
Solutions to the problem around the difficulty of training deep neural networks. Code, Paper
H4C Low Distortion Power Amp
Design of an auditory research grade audio amplifier, developed at the Northwestern Auditory Research Lab, and referenced in ARO 2010 Poster
A mobile tool to automatically interact with family and close friends frienso.com Code.
A mobile tool to automatically monitor tremor over time (such as tremor due to Parkinson’s Disease) Paper
Get In Touch
Feel free to email me or contact me via social media or drop me a note.