Submission information
Submission Number: 122
Submission ID: 215
Submission UUID: 400a57d2-916b-4272-81e8-3a37b4875129
Submission URI: /form/project
Created: Tue, 10/19/2021 - 13:04
Completed: Tue, 10/19/2021 - 13:04
Changed: Wed, 07/06/2022 - 15:08
Remote IP address: 131.125.11.1
Submitted by: George Avirappattu
Language: English
Is draft: No
Webform: Project
| Project Title | Staging Cloud Platform for Deep Learning projects |
|---|---|
| Program | CAREERS |
| Project Image | |
| Tags | ai (271), anaconda (535), aws (20), azure (200), cloud-commercial (193), conda (227), cuda (222), deep-learning (303), docker (35), github (490), hpc-cluster-architecture (391), hpc-cluster-build (84), image-processing (299), machine-learning (272), opencv (300), python (69), pytorch (471), scikit-learn (273) |
| Status | Halted |
| Project Leader | George Avirappattu |
| gavirapp@kean.edu | |
| Mobile Phone | |
| Work Phone | |
| Mentor(s) | |
| Student-facilitator(s) | |
| Mentee(s) | |
| Project Description | Medical image processing with deep learning: Our research involves developing an AI system for assisting radiologists with expeditiously diagnosing serious health concerns by scanning through images or other data. Although this type of research is in its early stages, it seems to offer great potential. Here are some sample research work and resources [1, 2, 3] In the initial phase we use publicly available data to explore the: - Feasibility - Utility - Effectiveness with various anomaly detection machine learning algorithms, including various architectures of neural networks. A vast repository of data is publicly available on sites like https://nihcc.app.box.com/ (National Institutes of Health Clinical Center) and https://www.kaggle.com/c/diabetic-retinopathy-detection/data The dataset involved is fairly large and deep learning is compute-intensive and we want to initiate the migration of our work to a scalable platform, the cloud, where resources are available on an as-needed basis. A qualified student will be able to complete the migration in 3 to 4 months of time. References: 1. Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, MohammadhadiBagheri, Ronald M. Summers.ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases, IEEE CVPR, pp. 3462-3471,2017 2. https://nanonets.com/blog/deep-learning-for-medical-imaging/ 3. https://radiology.ucsf.edu/blog/ai-rivals-expert-radiologists-detecting-brain-hemorrhages |
| Project Deliverables | Complete Documentation of the migration process made. |
| Project Deliverables | |
| Student Research Computing Facilitator Profile | - Mathematics and Computer science - programming in Python - scripting - Linux - ssh - AWS/Azure - machine learning/deep learning - computer vision |
| Mentee Research Computing Profile | |
| Student Facilitator Programming Skill Level | Some hands-on experience |
| Mentee Programming Skill Level | |
| Project Institution | Kean University |
| Project Address | New Jersey. 07083 |
| Anchor Institution | CR-Rutgers |
| Preferred Start Date | |
| Start as soon as possible. | No |
| Project Urgency | Already behind3Start date is flexible |
| Expected Project Duration (in months) | 4 |
| Launch Presentation | |
| Launch Presentation Date | |
| Wrap Presentation | |
| Wrap Presentation Date | |
| Project Milestones | |
| Github Contributions | |
| Planned Portal Contributions (if any) | |
| Planned Publications (if any) | |
| What will the student learn? | Designing a scalable cloud platform for deep learning projects |
| What will the mentee learn? | |
| What will the Cyberteam program learn from this project? | |
| HPC resources needed to complete this project? | GPU enabled HPC |
| Notes | |
| What is the impact on the development of the principal discipline(s) of the project? | |
| What is the impact on other disciplines? | |
| Is there an impact physical resources that form infrastructure? | |
| Is there an impact on the development of human resources for research computing? | |
| Is there an impact on institutional resources that form infrastructure? | |
| Is there an impact on information resources that form infrastructure? | |
| Is there an impact on technology transfer? | |
| Is there an impact on society beyond science and technology? | |
| Lessons Learned | |
| Overall results |