Skip to main content

machine-learning

Mentors and Regional Facilitators
Name Region Skills Interests
Andrew Fullard Campus Champions
Aniruddha Maiti ACCESS CSSN, Campus Champions
Alana Romanella Campus Champions
Brian Gregor ACCESS CSSN, Northeast, Campus Champions
Ben Lynch Campus Champions
Brandon Biggs OnDemand
Kevin Brandt Campus Champions, Great Plains, CCMNet
Benjamin Meyers Campus Champions
Craig Gross Campus Champions, CCMNet
Chris Carothers CAREERS
Christopher Bl… Campus Champions
Bala Desinghu ACCESS CSSN, Campus Champions, CAREERS, Northeast
Daniel Morales Campus Champions
Deborah Penchoff Campus Champions
Daniel Sierra-Sosa Campus Champions
Fan Chen ACCESS CSSN
Fernando Garzon ACCESS CSSN
Feseha Abebe-Akele CCMNet
Iman Rahbari Campus Champions, ACCESS CSSN
Jason Smith CAREERS
Jonathan Komperda Campus Champions
Jeffrey Weekley Campus Champions
Jason Wells ACCESS CSSN, Campus Champions
Od Odbadrakh ACCESS CSSN
Lakitha Wijeratne TRECIS
Luis Cueva Parra Campus Champions, CCMNet
shuai liu ACCESS CSSN
Mohsen Ahmadkhani CCMNet, ACCESS CSSN
Mami Hayashida Kentucky
Mattie Niznik Campus Champions
Mahmoud Parvizi Campus Champions
Michael Puerrer Campus Champions, Northeast
Maryam Taeb
Neil McGlohon CAREERS
Jeffrey J. Nuc… CAREERS, CCMNet
Paul Rulis Campus Champions
Renos Zabounidis Campus Champions
Russell Hofmann ACCESS CSSN, CCMNet
Grant Scott Great Plains
Shane Sanders Campus Champions
Xiaoqin Huang ACCESS CSSN
Shaohao Chen Northeast
Liwen Shih Campus Champions, ACCESS CSSN
Swabir Silayi ACCESS CSSN, CCMNet, Campus Champions
Simon Delattre
Suhong Li CAREERS, ACCESS CSSN
Soham Pal ACCESS CSSN, Campus Champions, CCMNet
William Sanders Campus Champions
Sathish Srinivasan ACCESS CSSN
Thomas Pranzatelli
Vedang Chauhan Northeast
Xiaoge Wang Campus Champions
William Lai ACCESS CSSN
Yongwook Song Kentucky
Users
Name Roles Skills Interests
Amin Sepehri
student facilitator
Anish Gaikwad
student facilitator
Ahamed Arafaat…
student facilitator
Arvind Sai Che…
student facilitator
Chris Carothers
mentor
steering committee
Carlos Paniagua
researcher/educator
Bala Desinghu
mentor
researcher/educator
rcf
Denis Kornev
researcher/educator
cheng fang
student facilitator
Girish Ganesan
student facilitator
Hening Cui
student facilitator
Hyungil Kye
student facilitator
Jaini Bhavsar
student facilitator
Jason Smith
mentor
James Chen
student facilitator
Paritosh Kaushik
student facilitator
Muhammad Khiza…
student facilitator
Lenore Martin
researcher/educator
Xiaoluo Jiao
student facilitator
Matt Ferguson
researcher/educator
Madhukara Keku…
student facilitator
Mohamed Eltayeb
student facilitator
Neil McGlohon
mentor
steering committee
Jeffrey J. Nuc…
mentor
rcf
Parth Shah
student facilitator
Qingdou Han
student facilitator
Parameshwaran …
student facilitator
Richa Gautam
student facilitator
Ritesh Bachhar
student facilitator
Yuan Qu
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
Projects
Project Title Project Institution Project Owner Tags Status
Developing deep learning algorithms to analyze Raman spectral data for brain cancer diagnosis Southern CT State University Binlin Wu gpu, image-processing, machine-learning, neural-networks, python Halted
Mapping mass and radius of compact objects to neutron star equation of state or boson star scalar potential Long Island University - Post Steven Liebling ai, astrophysics, deep-learning, machine-learning, neural-networks, nvidia, python, pytorch Halted
Deep convolutional neural networks (dCNN) for image segmentation, instance labeling, and tracking. University of Delaware Anita Schwartz bash, bioinformatics, computational-chemistry, debugging, machine-learning, programming, python, scripting, slurm, software-installation, tensorflow Complete
High Performance Computing vs Quantum Computing for Neural Networks supporting Artificial Intelligence Pace University Avery Leider ai, big-data, deep-learning, github, hpc-cluster-architecture, hpc-operations, jupyterhub, machine-learning, natural-language-processing, proposal-development, python, quantum-mechanics, research-facilitation, research-grants, resources, scikit-learn, singularity, vectorization Complete
Deep learning for biomedical image analysis Southern Connecticut State University Binlin Wu ai, big-data, deep-learning, gpu, machine-learning, matlab, python, tensorflow Complete
Vector Representation with a Finance Corpus Rhode Island College Gaurav Khanna bash, batch-jobs, deep-learning, distributed-computing, machine-learning, programming, python, research-facilitation, ssh Complete
Project WiCCED ML University of Delaware Anita Schwartz docker, hadoop, jupyterhub, kubernetes, machine-learning, programming-best-practices, python, r, software-installation, spark, tensorflow, tuning Complete
Assembly and Taxonomic Profiling of Metagenomic Sequences using Deep Learning University of Rhode Island Gaurav Khanna ai, bioinformatics, biology, deep-learning, gpu, hardware, machine-learning, neural-networks, python Complete
Statistical Analysis of criminal cases in the United States District Court of Puerto Rico Salve Regina University Gaurav Khanna ai, data-analysis, machine-learning, python Complete
Gravitational-wave Inference with Waveform Uncertainty University of Rhode Island -- Center for Computational Research Gaurav Khanna astrophysics, benchmarking, deep-learning, gravitational-waves, machine-learning Complete
Developing machine learning interatomic potentials for classical molecular dynamics simulations of complex perovskites University of Rhode Island Gaurav Khanna machine-learning, molecular-dynamics Complete
Investigating the Association between Environmental Characteristics and Psychological Well-Being Kean University Galen Collier ai, api, data-analysis, gis, image-processing, machine-learning, programming, programming-best-practices, python Complete
Bias and Fairness in Machine Learning: Identifying Bias Ahmed Rashed machine-learning, natural-language-processing Complete
Blog Entries
There are no Blog Entries associated with this topic.

Affinity Groups

Logo Name Description Tags Join
AI Institutes Cyberinfrastructure Gathering place for AI researchers to find curated information about using ACCESS resources for AI applications and research. Login to join
Jetstream-2 Jetstream2 is a transformative update to the NSF’s science and engineering cloud infrastructure and provides 8 petaFLOPS of supercomputing power to simplify data analysis, boost discovery, and… Login to join
Anvil Purdue University is the home of Anvil, a powerful new supercomputer that provides advanced computing capabilities to support a wide range of computational and data-intensive research spanning from… Login to join

Topics from Ask.CI

Loading topics from Ask.CI ...

Knowledge Base Resources

Engagements

AI for Business
San Diego State University

The research focus is to apply the pre-training techniques of Large Language Models to the encoding process of the Code Search Project, to improve the existing model and develop a new code searching model. The assistant shall explore a transformer or equivalent model (such as GPT-3.5) with fine-tuning, which can help achieve state-of-the-art performance for NLP tasks. The research also aims to test and evaluate various state-of-the-art models to find the most promising ones.

Status: Complete
Bayesian nonparametric ensemble air quality model predictions at high spatio-temporal daily nationwide  1 km grid cell
Columbia University

I aim to run a Bayesian Nonparametric Ensemble (BNE) machine learning model implemented in MATLAB. Previously, I successfully tested the model on Columbia's HPC GPU cluster using SLURM. I have since enabled MATLAB parallel computing and enhanced my script with additional lines of code for optimized execution. 

I want to leverage ACCESS Accelerate allocations to run this model at scale.

The BNE framework is an innovative ensemble modeling approach designed for high-resolution air pollution exposure prediction and spatiotemporal uncertainty characterization. This work requires significant computational resources due to the complexity and scale of the task. Specifically, the model predicts daily air pollutant concentrations (PM2.5​ and NO2 at a 1 km grid resolution across the United States, spanning the years 2010–2018. Each daily prediction dataset is approximately 6 GB in size, resulting in substantial storage and processing demands.

To ensure efficient training, validation, and execution of the ensemble models at a national scale, I need access to GPU clusters with the following resources:

  • Permanent storage: ≥100 TB
  • Temporary storage: ≥50 TB
  • RAM: ≥725 GB

In addition to MATLAB, I also require Python and R installed on the system. I use Python notebooks to analyze output data and run R packages through a conda environment in Jupyter Notebook. These tools are essential for post-processing and visualization of model predictions, as well as for running complementary statistical analyses.

To finalize the GPU system configuration based on my requirements and initial runs, I would appreciate guidance from an expert. Since I already have approval for the ACCESS Accelerate allocation, this support will help ensure a smooth setup and efficient utilization of the allocated resources.

Status: Complete

People with Expertise

Lakitha Wijeratne

The University of Texas at Dallas

Programs

TRECIS

Roles

mentor, researcher/educator

Expertise

alex Gutierrez

California State University-Los Angeles

Programs

ACCESS CSSN

Roles

student-facilitator

Profile Photo

Expertise

Yuan Qu

Rutgers University

Programs

CAREERS

Roles

student-facilitator

Placeholder headshot

Expertise

People with Interest

DooSoo Yoon

University of Iowa

Programs

Campus Champions

Roles

research computing facilitator

Placeholder headshot

Interests

Christina Koch

University of Wisconsin-Madison

Programs

ACCESS CSSN

Roles

research computing facilitator, cssn, Affinity Group Leader

A white woman with dark hair is smiling at the camera.

Interests

Enric Jiao

Programs

ACCESS CSSN

Roles

student-facilitator

Placeholder headshot

Interests