Name | Region | Skills | Interests |
---|---|---|---|
Ami Gaspar | Campus Champions, Northeast | ||
Alana Romanella | Campus Champions | ||
Kevin Brandt | Campus Champions, Great Plains | ||
Christopher Maher | Campus Champions | ||
Balamurugan Desinghu | ACCESS CSSN, Campus Champions, CAREERS, Northeast | ||
Diana Toups Dugas | RMACC, SWEETER, Campus Champions | ||
Elie Alhajjar | ACCESS CSSN | ||
Eden Furtak-Cole | Campus Champions | ||
Gaurav Khanna | Campus Champions, CAREERS, Northeast | ||
Henry Neeman | Campus Champions | ||
Ibrahim Sheikh | CAREERS | ||
James Deaton | Campus Champions, Great Plains, ACCESS CSSN | ||
Kirk Anne | Campus Champions | ||
Mohammadreza H… | Campus Champions | ||
Paul Rulis | Campus Champions | ||
Mike Renfro | Campus Champions | ||
Xiaoqin Huang | ACCESS CSSN | ||
Thomas Cheatham | Campus Champions, RMACC |
Name | Roles | Skills | Interests |
---|---|---|---|
Chitral Samala |
student facilitator |
||
Balamurugan Desinghu |
mentor researcher/educator rcf |
||
Gaurav Khanna |
mentor regional facilitator researcher/educator rcf steering committee |
||
Ibrahim Sheikh |
student facilitator
mentor regional facilitator researcher/educator rcf |
||
Julia Huang |
student facilitator |
||
Niall Howlett | researcher/educator |
||
Stanley Nwoji | researcher/educator |
||
Som Bishoyi |
student facilitator |
Title | Category | Tags | Skill Level |
---|---|---|---|
Long Tales of Science: A podcast about women in HPC | Website | science-gateway, community-outreach, professional-development, project-management, proposal-development, training, workforce-development, xsede | Beginner, Intermediate, Advanced |
A personalized learning system that adapts to learners' interests, needs, prior knowledge, and available resources is possible with artificial intelligence (AI) that utilizes natural language processing in neural networks. These deep learning neural networks can run on high performance computers (HPC) or on quantum computers (QC). Both HPC and QC are emergent technologies. Understanding both systems well enough to select which is more effective for a deep learning AI program, and show that understanding through example, is the ultimate goal of this project. The entry to learning technologies such as HPC and QC is narrow at present because it relies on classical education methods and mentoring. The gap between the knowledge workers needed, which is in high demand, and those with the expertise to teach, which is being achieved at a much slower rate, is widening. Here, an AI cognitive agent, trained via deep learning neural networks, can help in emergent technology subjects by assisting the instructor-learner pair with adaptive wisdom. We are building the foundations for this AI cognitive agent in this project.
The role of the student facilitator will involve optimizing a deep learning neural network, comparing and contrasting with the newest technologies, such as a quantum computer (and/or a quantum computer simulator) and a high performance computer and showing the efficiency of the different computing approaches. The student facilitator will perform these tasks at the rate described in the proposal. Milestone work will be displayed and shared publicly via posting to the Jupyter Notebooks on Google Colab and linked to regular Github uploads.
Virginia Polytechnic Institute and State University
Campus Champions
mentor, researcher/educator, research computing facilitator, Affinity Group Leader, MATCH PM, KB PM, Match SC
CUNY School of Professional Studies
CAREERS
student-facilitator, mentor, regional facilitator, researcher/educator, research computing facilitator
University of Missouri-Kansas City
Campus Champions
researcher/educator, research computing facilitator
University of North Carolina at Charlotte
Campus Champions
research computing facilitator
University of Missouri-Kansas City
Campus Champions
researcher/educator, research computing facilitator
University of Pennsylvania
Campus Champions
research computing facilitator, ci systems engineer