Day 2 Lightning Talks

Day 2 Lightning Talks

101_Slide-Chaudhary-Tomko-Combs-SCIPE-2023-v2 - Vipin Chaudhary.pdf

102_casanova-cybertraining-pi-meeting-2023-one-slide - Henri Casanova.pdf

103_COMPLECS NSF PI meeting slide 2023 - Robert Sinkovits.pdf

104 HPC ED Federated Training Repository

• Large number of training materials available, finding the right ones is difficult
• Providers want to incorporate, not reinvent the wheel
• Federated repository will facilitate discovery, sharing, metadata development, and quality insurance for materials
• API will allow publishing, including materials into local portals

Partners: Cornell, Chicago, Kean, TACC, SDSC, Ohio Supercomputing Center

www.cac.cornell.edu

105_vcu-slide-lightning-talk - Irfan Ahmed.pdf

Goal: Integrate PDC in Early Undergraduate Courses

Significant Activities

• Instructional Workshops
• TTU, UMass, LSU (over 50 instructors reaching over 5000 students/year)
• Mini Workshops at SIGCSE, EduHiPC

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• Workshops for reporting Techniques and Results (Edu* Series)
• EduPar, EduHPC, EduHiPC

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• Curriculum Related Activity
• ABET, CSAB
• CS 2023
• Computer Engg.

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• Develop and curate instructional material
• Develop core PDC requirements
• Foster stakeholder community

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Collaborative Research: CyberTraining: Implementation: Medium:�Broadening Adoption of Parallel and Distributed Computing in Undergraduate Computer Science and Engineering Curricula

(NSF Proposal 2017233)

106_Lightning-Talk-slide-2017233 - R Vaidyanathan.pptx

107A CyberAmbassadors�Professional Skills for Interdisciplinary Work�Dirk Colbry, Katy Luchini-Colbry | NSF Award #1730137 | 2017-2023�CyberTraining: CIP – Professional Skills for CyberAmbassadors�

For more information, please visit: �https://tinyurl.com/CyberAmbassadors

(as of August 31, 2023)

10,900+ Participants Trained |     419 Certificates Earned

120+ Facilitators Trained     |     360+ Sessions Completed

CCIFTD (Certified Cyberinfrastructure Facilitator Training and Development program)�107B A Professional Development and Certification Program�Henry Neeman, Dana Brunson, Dirk Colbry | NSF Award #2118193 | 2021-2024�CyberTraining: Pilot –A Professional Development and Certification Program (CCIFTD)

Save the Date

2024 Virtual Residency Workshop

June 24-28, 2024

Badges

Initial 55 badges awarded June 2023

* Required Badges for 1st Level

108 ToUCH: Impact by the numbers

12 modules developed

29 institutions that have adopted one or more ToUCH modules

38 participants at faculty training workshops�4 industry partners who have engaged in curriculum design �2 participants who have used ToUCH materials in their own development workshops

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565* underrepresented students at TXST have experienced the enhanced curriculum

285* number of students enrolled in a course with a ToUCH module during 2022-23

3.8 average student satisfaction score in modules introduced in lower-division courses

78.2 mean assessment score earned across all implementations at TXST

https://touch.cs.txstate.edu

Introduce heterogeneous computing principles to CS undergraduates

https://github.com/TeachingUndergradsCHC/modules

Apan Qasem, David Bunde, Phil Schielke

CIC: Widening the CI Workforce On-ramp by Exposing Undergraduates to Heterogeneous Computing

OAC-1829644, OAC-1829554

Methodology

• Project-oriented training solution that actively engages trainees in learning and real-world problem solving for CAVs
• A fundamental training module for undergraduate students and community college educators, and a research-intensive training module for graduate students and postdoc
• Implementation details
• REU Site on “Vehicular Edge Computing and Security” at UNT
• “Working Connections IT Faculty Development Institute” training events
• International conference and local events

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Proposed Training Modules

• Training Module 1: Raw-Data Level Cooperative Perception Training Module 2: Feature-Map Level Cooperative Perception on CAVs
• Training Module 3: Vehicular Sensor Data Processing on Hierarchical Edge Computing Platform
• Training Module 4: Heterogeneous and Reliable Vehicular Edge Computing
• Training Module 5: Deep Learning-Based Object Detection Training Module 6: Tailoring Deep Learning Methods for Object Detection

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Outcomes and Results

• 15 publications in ICDCS, ICME, IV, IPDPS, EDGE, TMM, IoT Journal, etc.
• 5 training workshops are offered for community college teachers, undergraduate and graduate students, and researchers from industry and academia
• The CAV-CI at UNT was demonstrated to more than 200 visitors, including middle and high school students and teachers
• Strong interests from industry collaborators

Collaborative and Integrated Training on Connected and Autonomous Vehicles Cyber Infrastructure

Qing Yang (PI), Song Fu (Co-PI), David Keathly (SP)

109

111_Zimmerman_Data4Ecology_Slide - Naupaka Zimmerman.pdf

112 Collaborative Research: CyberTraining: Pilot: A Cybertraining Program to Advance Data Acquisition, Processing, and Machine Learning-based Modeling in Marine Science

Qianqian Liu¹, Yang Song¹, Zhengui Wang², Gulustan Dogan¹

NSF Award Number: OAC 2230046

1.

2.

Overarching Goals:

• Advance the adoption of data science/machine learning cyber infrastructure by marine science researchers and enhance researchers' abilities in utilizing CI tools.

Impacts:

• Educate and train early career researchers in marine science to promote CI awareness and related technical skills development to facilitate and scaffold their research.
• Promote DEI by encouraging participation from researchers at community colleges and minority-serving institutions.

114_CyberTraining_one_slide_OAC1829764 - Venkatesh Merwade.pdf

115 Pilot: Machine Learning Foundations and Applications in the Earth Systems Sciences

DESIGN

Mimic real research workflows and data

No-code, conceptual eLearning module

Preformed code and widgets in Jupyter Notebooks

Group activity to apply concepts to research scenarios, exercise judgement skills

Nicole Corbin¹, Dr. Thomas Martin¹,

Dr. Keah Schuenemann²

1. Unidata Program Center – University Corporation for Atmospheric Research, Boulder, CO
2. Metropolitan State University – Denver, Denver, CO

116_CyberTraining Hour of Cyberinfrastructure Developing Cyber Literacy for Geographic Information Science - Eric Shook.pdf

117_cybertraining_slide_AmyRoberts - Amy Roberts.pdf

118_Daqing Hou_PI-meeting-2023-lightning.pdf

119 CyberTraining: Pilot: Justice in Data: An intensive, mentored online bootcamp developing FAIR data competencies in undergraduate researchers in the water and energy sectors

Principal Investigator : Dr. Jessica Eisma | NSF Award No. 2230054

Co – Principal Investigators: Dr. June Young Park, Dr. Cory Forbes, Dr. Sharma Chakravarthy

IMPACT

• 27 bootcamp participants
• Full bootcamp content available for free via MyGeoHub
• Over 23 hours of recorded instructional content available on YouTube playlist
• 10 students participated in summer mentoring
• 4 students presented at summer research symposium

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PROGRAM EVALUATION

• % increase in average self-reported competencies for 10 primary learning objectives ranged from 56-98%
• 64% rated program as Excellent; 36% as good
• 95% would recommend the program

PRIMARY OBJECTIVE

Develop and test an extracurricular CI instructional framework while also identifying the overall CI adoption and implementation needs of the established research workforce

More Information:

GeoSMART is an educational framework dedicated to advancing machine learning adoption in the geosciences with a focus on Seismology, Hydrology and Cryosphere research.

https://geo-smart.github.io/

120

121_i-CoMSE-Rai-Neeraj-Shah-Jindal_2023 - Neeraj Rai.pdf

123_slides-CyberTraining-2023-T3-CIDERS.v3 - Wirawan Purwanto.pdf

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124 Cyberinfrastructure Security Education for Professionals and Students

• College level courses

CYBR 201 Fundamentals of Cybersecurity

CYBR 704 Data Analytics for Cybersecurity

• 14 Micro-credentials courses
• VR Platform for Data Center Training
• Secondary student face-to-face camps and online events

Birds of a Feather Session at PEARC23

• K-12 Teacher professional development

One-day event at supercomputing conference; STEM 4 Innovation

Sandra Nite

CiSE-ProS | u.tamu.edu /aces | NSF Award #CIP-1730695

�125 CyberTraining: Implementation: Small: Interactive and Integrated Training for Quantum Application Developers across Platforms (# 2230111)�PI: Qiang Guan

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9/25/23

The project aims to deliver a project-oriented training program that can assist the scientific research workforce development for quantum computing cyberinfrastructure and help foster broad adoption of quantum computing cyberinfrastructure to advance fundamental research.

VACSEN

VENUS

Q-Reproducibility

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126_Impacts_NSFOAC_UTTyler_PImeeting - Prabha Sundaravadivel.pdf

128_TongShu_CyberTraining23_OAC2306184_Lightning_Talk - Tong Shu.pdf

129 Collaborative Research: CyberTraining: Implementation: Small: Multi-disciplinary Training of Learning, Optimization and Communications for Next Generation Power Engineers

• Major Work
• Build a cyber infrastructure platform of machine learning for future electrical power engineering.
• Generate and analyze data for studying cyber attacks, fault detection and optimization in power grid.
• Co-Organize summer workshop to train students for workforce development.
• Develop sample projects in real-time hybrid simulations with HPC infrastructure.

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• Project Impacts
• Prepare students with new skills of data analytics, machine learning, and HPC in future power society.
• Co-organize two training workshops (2021 and 2022).
• Integrate project materials to core ECE/CS curriculum and develop two interdisciplinary courses to update current power engineering program.
• Generate benchmark data sets for interdisciplinary research and education.

Zhen Ni, PI, Florida Atlantic University, Boca Raton, FL. Award #: 1949921

Dongliang Duan, PI, University of Wyoming, Laramie, WY. Award #: 1923983

Next-generation power engineers

More Efficient and Resilient Power Grid

Workshop Training

• Real-time simulations
• HPC utilization
• Data and system analysis

Simulation and Computing Platform

Interdisciplinary projects

• Data-driven ML tools
• Optimization and learning
• Smart energy community

Figure (Left): A developed cyber physical computing infrastructure.

Figure (right): Workshop and project-based training flowchart.

130_UMCES SCIPE one-slide description with Title - Victoria Coles.pdf

University of Houston (UH), Prairie View A&M University (PVAMU), Alabama A&M University (AAMU) [2321110, 232111, 2321112]

 131: Collaborative Research: Train the Trainers as Next Generation Leaders in Data Science for Cybersecurity for Underrepresented Communities

Objectives:

We will create the "Structured Cyberinfrastructure Training” (SCT) to

1) Enable academia trainers and industry leaders to build correct and fair DS computational solutions

2) Avoid bias in DS education

3) Leverage academia and industry to report on DS education challenges

4) Evaluate new teaching modules & DS teaching innovation approaches

Figure:

Outline of tasks to match objectives. In year 1, we will fill the teaching material gap between R1 and HBCUs by developing five short courses and training the trainers in a five-day workshop in the summer. In year 2, we will evaluate and improve the short courses, adjust the teaching materials into graduate-level courses, and conduct the 2^nd round of summer workshops. In year 3, we will evaluate, improve, finalize the short courses, and adjust the teaching materials into undergraduate-level courses, and run the 3rd round of workshops.

Intellectual Merit:  

1. Create unique data science approaches to optimize cybersecurity mitigation. The team will investigate various algorithms and propose effective solutions which explore the cybersecurity implications through theory and practical models.
2. Generate new knowledge regarding participants’ conceptual understanding of data science constructs and procedural understanding of data science practice.
3. Establish pedagogical strategies that utilize embodied learning to effectively teach complex concepts in data science for cybersecurity.
4. Create and test in-training activities, a novel interactive data science for cybersecurity training environment with real-time feedback.

Through these approaches and activities, we aim to enhance the knowledge and practices of trainers in data science and cybersecurity.

132_cybertraining23-Xiaoyi-Lu-UCMerced - Lu Xiaoyi.pdf

133_NSF_OneSlide_FIRST-HEP - Peter Elmer.pdf

134_Nomura_NSFPIMeeting-LightningTalk-20sep23.pdf

� 135 award# 2230086 Cross-Disciplinary Training for Joint Cyber-Physical Systems and IoT Security

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Elias Bou-Harb, PhD.

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CS at LSU

• Cross-disciplinary curricula program

• Empirical (attack) data indexing and sharing capability

• Internship opportunities with relevant industry and public

• Exploration of power and water systems

UTSA Launches degree program to train next generation of cyber defenders

Noblis cyber security collaboration