Name | Region | Skills | Interests |
---|---|---|---|
Tony Elam | Kentucky | ||
Alana Romanella | Campus Champions | ||
Brian Gregor | Northeast, Campus Champions | ||
Balamurugan Desinghu | ACCESS CSSN, Campus Champions, CAREERS, Northeast | ||
Dylan Perkins | RMACC, ACCESS CSSN | ||
Fernando Garzon | ACCESS CSSN | ||
Feng George Yu | Campus Champions | ||
Jordan Hayes | Campus Champions | ||
Jacob Pessin | Northeast | ||
Katia Bulekova | ACCESS CSSN, Campus Champions, CAREERS, Northeast | ||
Thomas Langford | Campus Champions, CAREERS | ||
shuai liu | ACCESS CSSN | ||
Maryam Taeb | |||
Neil McGlohon | CAREERS | ||
Jeffrey J. Nuc… | CAREERS | ||
Mahmoud Parvizi | Campus Champions | ||
Rob Harbert | Northeast | ||
Grant Scott | Great Plains | ||
Simon Delattre | |||
Suhong Li | CAREERS, ACCESS CSSN | ||
Scott Valcourt | Northeast, Campus Champions | ||
Yun Shen | CAREERS, Northeast, ACCESS CSSN | ||
Yongwook Song | Kentucky |
Name | Roles | Skills | Interests |
---|---|---|---|
Anish Gaikwad |
student facilitator |
||
Ahamed Arafaat… |
student facilitator |
||
Balamurugan Desinghu |
mentor researcher/educator rcf |
||
Denis Kornev | researcher/educator |
||
Emma Strand |
student facilitator |
||
Eren Ada |
student facilitator |
||
Chris Hemme | researcher/educator |
||
Hyungil Kye |
student facilitator |
||
Julia Huang |
student facilitator |
||
Katia Bulekova |
mentor rcf |
||
Paritosh Kaushik |
student facilitator |
||
Muhammad Khiza… |
student facilitator |
||
Thomas Langford |
mentor rcf |
||
Minxiu Shi |
student facilitator |
||
Madhukara Keku… |
student facilitator |
||
Mohamed Eltayeb |
student facilitator |
||
Neil McGlohon |
mentor steering committee |
||
Jeffrey J. Nuc… |
mentor rcf |
||
Parth Shah |
student facilitator |
||
Richa Gautam |
student facilitator |
||
Sanguthevar Ra… | researcher/educator |
||
Suhong Li |
mentor researcher/educator |
||
Stanley Nwoji | researcher/educator |
||
Seth Rosen |
student facilitator |
||
Ying-Chih Sun |
student facilitator |
||
Yun Shen |
mentor |
Logo | Name | Description | Tags | Join |
---|---|---|---|---|
DARWIN | DARWIN (Delaware Advanced Research Workforce and Innovation Network) is a big data and high performance computing system designed to catalyze Delaware research and education funded by a $1.4 million… | Login to join | ||
Large Data Sets | For people who evaluate or use storage options for researchers with large data sets. | Login to join |
Title | Date |
---|---|
Globus and ACCESS Simplify Data Management for Supercomputer Users | 09/14/23 |
Title | Category | Tags | Skill Level |
---|---|---|---|
DARWIN Documentation Pages | Docs | darwin, big-data | Beginner, Intermediate, Advanced |
Introduction to Python for Digital Humanities and Computational Research | Docs | ai, big-data, data-analysis, deep-learning, data-science, python | Beginner |
Introductory Tutorial to Numpy and Pandas for Data Analysis | Docs | ai, big-data, data-analysis, vectorization | Beginner |
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.
Harrisburg University of Science and Technology
CAREERS
researcher/educator