Posts by Collection

lessons

Module 1: Introduction to HPC

Introduction to high-performance computing on a Linux cluster: UNIX shell interaction, SLURM job scheduler, parallel job launch. (Lesson site)

Module 2: Dealing with Big Data

Introduction to Pandas, a powerful data processing framework capable of handling large amounts of data in an efficient manner. (Lesson site)

Module 3: Machine Learning

Machine learning is an approach to program a computer to perform certain intelligent tasks without being explicitly programmed to do so. (Lesson site)

Module 4: Deep Learning Using Neural Networks

Neural network is a powerful approach to machine learning that can yield extremely high accuracy on complex cognitive tasks. (Lesson site)

Module 5: Cryptography for Privacy-Preserving Computation

Homomorphic encryption enables untrusted parties to perform computation while preserving the privacy of sensitive data (Lesson site)

Module 6: Parallel and High-Performance Computing

Tightly coupled calculations can be efficiently parallelized using industry-standard MPI and OpenMP programming models. (Lesson site)

portfolio

Portfolio item number 1

Short description of portfolio item number 1

Portfolio item number 2

Short description of portfolio item number 2

publications

DeapSECURE: Empowering Students for Data- and Compute-Intensive Research in Cybersecurity through Training

Published in ACM Proceedings of PEARC'19: Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2009

A brief overview of the DeapSECURE training program.

Recommended citation: W. Purwanto, H. Wu, M. Sosonkina, and K. Arcaute. (2019). "DeapSECURE: Empowering Students for Data- and Compute-Intensive Research in Cybersecurity through Training." ACM Proceedings of PEARC'19. 81:1 - 81:8. DOI: 10.1145/3332186.3332247 . https://dl.acm.org/citation.cfm?id=3332247

DeapSECURE Computational Training for Cybersecurity Students: Improvements, Mid-Stage Evaluation, and Lessons Learned

Published in Journal of Computational Science Education, 2021

Updates and improvements to the DeapSECURE training program in its second year.

Recommended citation: W. Purwanto, Y. He, J. Ossom, Q. Zhang, L. Zhu, K. Arcaute, M. Sosonkina, and H. Wu (2021). "DeapSECURE Computational Training for Cybersecurity Students: Improvements, Mid-Stage Evaluation, and Lessons Learned" J. Comput. Sci. Educ.. 12 (1):3-10. DOI: 10.22369/issn.2153-4136/12/2/1 . http://www.jocse.org/articles/12/2/1/

DeapSECURE Computational Training for Cybersecurity: Third-Year Improvements and Impacts

Published in MODSIM World 2022, 2022

Detailed account of the DeapSECURE’s retooling and full conversion for fully online delivery in 2020-2021; assessment of online workshops in comparison to in-person delivery.

Recommended citation: B. Dodge, J. Strother, R. Asiamah, K. Arcaute, W. Purwanto, M. Sosonkina, and H. Wu (2022). "DeapSECURE Computational Training for Cybersecurity: Third Year Improvements and Impacts" Presented at the MODSIM World 2022 Conference, Norfolk, Virginia, 2022-05-11. https://www.modsimworld.org/papers/2022/MSVSCC_2022_InfrastructureSecurityMilitary.pdf

DeapSECURE Computational Training for Cybersecurity: Progress Toward Widespread Community Adoption

Published in Ninth SC Workshop on Best Practices for HPC Training and Education (BPHTE'22), 2022

Full conversion of the DeapSECURE training program to online delivery in its third year; lessons learned from online vs in-person workshop; open-source release of the lessons for community adoption.

Recommended citation: W. Purwanto, B. Dodge, K. Arcaute, M. Sosonkina, and H. Wu (2022). "DeapSECURE Computational Training for Cybersecurity Students: Improvements, Mid-Stage Evaluation, and Lessons Learned." Presented at the Ninth SC Workshop on Best Practices for HPC Training and Education (BPHTE'22), Dallas, Texas, 2022-11-14. This paper will be published in the Journal of Computational Science Education. https://sc22.supercomputing.org/presentation/?id=ws_bphpcte107&sess=sess440

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015