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Mentors and Regional Facilitators
Name Region Skills Interests
Michael Blackmon Campus Champions
Benjamin Meyers Campus Champions
Cody Stevens Campus Champions
Balamurugan Desinghu ACCESS CSSN, Campus Champions, CAREERS, Northeast
Elie Alhajjar ACCESS CSSN
Craig Gross Campus Champions
Iman Rahbari Campus Champions, ACCESS CSSN
Yu-Chieh Chi Campus Champions
Jordan Hayes Campus Champions
Jason Wells ACCESS CSSN, Campus Champions
Kenneth Bundy CAREERS
shuai liu ACCESS CSSN
Michael Puerrer Campus Champions, Northeast
Maryam Taeb
Simon Delattre
Soham Pal Campus Champions, ACCESS CSSN
Swabir Silayi Campus Champions

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Engagements

High Performance Computing vs Quantum Computing for Neural Networks supporting Artificial Intelligence
Pace University

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.

Status: Complete

People with Expertise

Parameshwaran Pasupathy

Rutgers University - New Brunswick

Programs

ACCESS CSSN, CAREERS

Roles

student-facilitator

Placeholder headshot

Expertise

Hao Zheng

Columbia University

Programs

CAREERS

Roles

student-facilitator

Placeholder headshot

Expertise

Yating Fang

Rutgers University

Programs

Northeast

Roles

student-facilitator

Placeholder headshot

Expertise

People with Interest

alex Gutierrez

California State University-Los Angeles

Programs

ACCESS CSSN

Roles

student-facilitator

Profile Photo

Interests

Balamurugan Desinghu

Rutgers, the State University of New Jersey

Programs

ACCESS CSSN, Campus Champions, CAREERS, Northeast

Roles

mentor, researcher/educator, research computing facilitator, cssn, Consultant

Bala Desinghu Photo

Interests

Shawn Sivy

The College of New Jersey

Programs

Campus Champions, CAREERS

Roles

research computing facilitator, ci systems engineer

Interests