Name | Region | Skills | Interests |
---|---|---|---|
Alana Romanella | Campus Champions | ||
Balamurugan Desinghu | ACCESS CSSN, Campus Champions, CAREERS, Northeast | ||
diana Trotman | CAREERS | ||
Daniel Sierra-Sosa | Campus Champions | ||
Fernando Garzon | ACCESS CSSN | ||
Georgia Stuart | TRECIS | ||
Craig Gross | Campus Champions | ||
Iman Rahbari | Campus Champions, ACCESS CSSN | ||
Jason Yalim | Campus Champions | ||
Katia Bulekova | ACCESS CSSN, Campus Champions, CAREERS, Northeast | ||
Laura Christopherson | Campus Champions | ||
shuai liu | ACCESS CSSN | ||
Michael Puerrer | Campus Champions, Northeast | ||
Maryam Taeb | |||
Mahmoud Parvizi | Campus Champions | ||
Paul Rulis | Campus Champions | ||
Russell Hofmann | ACCESS CSSN | ||
Xiaoqin Huang | ACCESS CSSN | ||
Suhong Li | CAREERS, ACCESS CSSN | ||
Swabir Silayi | Campus Champions | ||
Yun Shen | CAREERS, Northeast, ACCESS CSSN |
Name | Roles | Skills | Interests |
---|---|---|---|
Anish Gaikwad |
student facilitator |
||
Ahamed Arafaat… |
student facilitator |
||
Arvind Sai Che… |
student facilitator |
||
Carlos Paniagua | researcher/educator |
||
Balamurugan Desinghu |
mentor researcher/educator rcf |
||
diana Trotman |
student facilitator rcf mentee |
||
Denis Kornev | researcher/educator |
||
Emma Strand |
student facilitator |
||
cheng fang |
student facilitator |
||
Yuanyuan Zeng |
student facilitator |
||
Gabrielle Martinez |
student facilitator |
||
Chris Hemme | researcher/educator |
||
Hening Cui |
student facilitator |
||
Ifeoma Ugwuanyi |
student facilitator |
||
Rui Feng Ye |
student facilitator |
||
Katia Bulekova |
mentor rcf |
||
Katie Salas |
student facilitator |
||
Lenore Martin | researcher/educator |
||
Minxiu Shi |
student facilitator |
||
Mohamed Eltayeb |
student facilitator |
||
Parth Shah |
student facilitator |
||
Qingdou Han |
student facilitator |
||
RAM PALASETTY |
student facilitator |
||
Ryan De Lorenzo |
student facilitator |
||
Sanguthevar Ra… | researcher/educator |
||
Shagesh Sridharan |
student facilitator |
||
Suhong Li |
mentor researcher/educator |
||
Stanley Nwoji | researcher/educator |
||
Som Bishoyi |
student facilitator |
||
Seth Rosen |
student facilitator |
||
Sydney Shearer |
student facilitator |
||
Ying-Chih Sun |
student facilitator |
||
Tejasvi Munge |
student facilitator |
||
William Feng |
student facilitator |
||
Yun Shen |
mentor |
||
Yuming Ding |
student facilitator |
||
Zoe Reich |
student facilitator |
Title | Date |
---|---|
NSF requests research and education use cases for NAIRR | 02/22/24 |
Title | Date |
---|---|
Getting Started with Jetstream2 | 4/04/24 |
Using the NSDF Services for End-to-End Analysis and Visualization of Large Scientific Data | 4/10/24 |
GlobusWorld 2024 | 5/07/24 |
Title | Category | Tags | Skill Level |
---|---|---|---|
Awesome Jupyter Widgets (for building interactive scientific workflows or science gateway tools) | Learning | ai, computer-graphics, plotting, visualization, big-data, data-analysis, deep-learning, image-processing, machine-learning, monte-carlo, neural-networks, data-sharing, data-lifecycle, data-management, data-management-software, data-reproducibility, github, astrophysics, data-science, novel-accelerators, computational-chemistry, genomics, materials-science, gravitational-waves, oceanography, particle-physics, physiology, psychology, quantum-computing, quantum-mechanics, biology, ondemand, science-gateway, c++, jupyterhub, python | Beginner, Intermediate, Advanced |
MATLAB bioinformatics toolbox | Tool | visualization, data-analysis, bioinformatics, genomics, matlab | Beginner, Intermediate, Advanced |
Scipy Lecture Notes | Learning | visualization, data-analysis, machine-learning, python | Beginner, Intermediate |
I am new to ACCESS. I have a little bit of past experience running code on NCSA's Blue Waters. As a self-taught programmer, it would be interesting to learn from an experienced mentor.
Here's an overview of my project:
Anxiety detection is topic that is actively studied but struggles to generalize and perform outside of controlled lab environments. I propose to critically analyze state of the art detection methods to quantitatively quantify failure modes of existing applied machine learning models and introduce methods to robustify real-world challenges. The aim is to start the study by performing sensitivity analysis of existing best-performing models, then testing existing hypothesis of real-world failure of these models. We predict that this will lead us to understand more deeply why models fail and use explainability to design better in-lab experimental protocols and machine learning models that can perform better in real-world scenarios. Findings will dictate future directions that may include improving personalized health detection, careful design of experimental protocols that empower transfer learning to expand on existing reach of anxiety detection models, use explainability techniques to inform better sensing methods and hardware, and other interesting future directions.
University of Southern California
Campus Champions, ACCESS CSSN
mentor, researcher/educator, research computing facilitator, research software engineer, cssn
Queens borough community college
CAREERS
student-facilitator, research computing facilitator, mentee
Harrisburg University of Science and Technology
CAREERS
researcher/educator