Intelligent Networks Laboratory

Link to Publication
Alumna Jewel Lee's publication, "Ambulatory Risk Models for the Long-Term Prevention of Sepsis: Retrospective Study" is linked above.

Divya Kamath successfully defended her MS project, "Migrating a complex, CPU-GPU based simulator to modern C++ standards".

Prof. Stiber's interview with KIRO-7 TV news on how to protect yourself online was on the air and is reachable online by clicking on the image above.

We had one undergraduate present at the UWB School of STEM Summer Symposium: Alex Neary, "Using GIS data to model NG911".

Ashwini Rudrawar successfully defended her MS project, "Evaluating impact of GPU API evolution on software development and application performance".

Graduate student Jardi Martinez Jordan presented the poster, "Graph-Based Simulation of Emergency Services Communications Systems" at the 2022 Annual Modeling and Simulation Conference in San Diego.

One lab member presented at the UW Bothell School of STEM Spring Symposium:

• Conor Mcintosh: Automation of UML and Coding Style Checks on Graphitti Project

Tony Varela successfully defended his thesis, "Discrete Learning Submodels in Artificial Neural Networks".

INL undergraduate Natalie Gonzales presented her Mary Gates Scholarship research, "Bursting Activity Across Simulated Neural Networks" at the 25th Annual UW Undergraduate Research Symposium. Sadly, Prof. Stiber didn't take a photo while she was presenting.

One lab member presented at the the UW Bothell School of STEM Winter Symposium:

• Vu Tieu: Intelligent Networks Lab

Four lab members presented their work at the UW Bothell School of STEM Autumn Symposium:

• Natalie Gonzales: Bursting Activity across Simulated Neural Networks
• Shakeel Khan: Workbench: A Provenance Visualization Tool
• James Kim: Graphitti — Improving Software Maintainability
• Mark Sorvick: Graphitti: A Graph-Based Simulator
• Angelina Tang: Developing Education Software on Web-Based Neural Networks

The INL secured funding support from InterPARES Trust AI for a project to develop a repository of emergency communications data (911 in the US) and apply AI techniques to that data to infer "real world" events from the emergency calls made and to help us understand how cyber-attacks could effect emergency communications. This project is in collaboration with colleagues Erik Borglund (Mid Sweden University), Megan Cohen (University of British Columbia), Barbara Endicott-Popovsky (University of Washington), Arika Kaneko (University of British Columbia), Scott Sotebeer (USA Strategics), and Samuel Tweneboah-Koduah (Ghana Institute of Management and Public Administration). InterPARES Trust AI is housed at the University of British Columbia and is a multi-national interdisciplinary project aiming to design, develop, and leverage Artificial Intelligence to support the ongoing availability and accessibility of trustworthy public records.

Prof. Stiber participated in an invited panel on the "Cybersecurity Lexicon" at the 25th Colloquium on Information Systems Security Education, online, October 4-6, 2021.

Three lab members presented their undergraduate capstone projects at the CSS Summer Colloquium:

• Jordan Brown: Graphitti: Graph-Based Systems Simulator
• Vivek Gandhi: Graph-based Simluations with Graphitti
• Steven Leighton: Improving Software Usability and Maintainability

Victoria Salvatore successfully defended her thesis, "Demonstrating Software Reusability: Simulating Emergency Response Network Agility with a Graph-Based Simulator", on July 29.

Joe Conquest's paper on the unified Workbench software, "Software and Data Provenance as a Basis for eScience Workflow" was accepted to IEEE eScience 2021.

Based on our work on extending our Graphitti simulator to next-generation 911 emergency communications systems, our grant from the US National Security Agency has been funded for a second year. This is important recognition of all of the hard work by our lab members!

Undergraduate capstone project presented at the CSS Spring Colloquium:

• Kyle Dukart: Advancing Software Maturity in a Graph-Based Simulator

Lab member Natalie Gonzales was featured in a UW Bothell news article about her Mary Gates Scholarship.

With the transition of our core simulation infrastructure from "BrainGrid" to "Graphitti", and the expansion of our laboratory's research aims from computational neuroscience and data analysis to all types of network-structured systems and AI-driven data analysis, we are rebranding our laboratory as the Intelligent Networks Laboratory. This has been a year in the making as we've worked to revamp our tools to apply to a wider range of problems. To celebrate, we have an entirely new website design!

Prof. Stiber was gratified to be nominated for the UW Bothell Distinguished Research, Scholarship, and Creative Activity Award. Although he was not the final recipient, he was touched by this show of support from students and colleagues.

Congratulations to Natalie Gonzales, who has earned a prestigious Mary Gates Research Scholarship to support her work in our laboratory! Natalie will be investigating how spike timing dependent plasticity (STDP) changes the behavior of network bursting during development.

Snigdha Singh successfully defended her thesis, "Graph Analysis For Simulated Neural Network With STDP" on March 11.

Prof. Stiber is one of the faculty featured in the video below, developed to provide new students, particularly pre-majors, with an introduction to our Technology and Engineering meta-major.

We will be meeting Thursdays at 10AM via Zoom. Contact Prof. Stiber for the URL. Prospective lab members are welcome to attend!

We have successfully earned a one-year grant (with an option to extend to a second year) from the US National Security Agency to build an intelligent testbed to model next-generation 911 communications services and to analyze their behaviors. This testbed will be built on top of our new BrainGrid simulator (see the news about our summer 2020 activities). There's a very nice news article about this on the UW Bothell news page. We will need to come up with a new name for the simulator, since we'll be using it to simulate a larger variety of graph-based systems.

We spent summer 2020 paying down technical debt on the BrainGrid simulator. The new simulator incorporates a variety of new architectural design patterns that will make it much easier to modify and extend its capabilities. In addition, the Workbench is being overhauled with respect to its UI and execution of the simulator. Expect a "great switch" of GitHub repositories in late fall as the new architecture becomes the production system. This great work was accomplished by undergrads Chris O'Keefe and Lizzy Presland, grad students Joe Conquest, Tori Salvatore, and Snigdha Singh, and high school student Karthik Vetrivel.

We had two students successfully defend their Masters theses/projects in spring:

• Emily Hsu defended her project, "Extending a Neural Simulator to Combine Growth and Spike-Timing-Dependent Plasticity".
• Smriti Singh defended her thesis, "Understanding localized burst trigger patterns in developing neural networks using deep learning".

Undergraduate capstone projects for 2019:

• Ben Clark (Optimizing GPU performance for BrainGrid)