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sanghani-students@cs.vt.edu

May 2022

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Requesting information for Sanghani Center web story on summer internships
by Barbara Micale 08 Jun '22

08 Jun '22

Good afternoon! We will soon be posting a roundup story on the Sanghani Center website about our students who are working summer internships. If you are one of these students, we would appreciate it if you could fill in the information requested in the template below and return it by Friday, June 10. If you have a twitter account and @SanghaniCtrVT does not follow you, please send us your twitter handle. *Your name, *a Ph.D./master's? student in __________, is a (internship title) at (where; include area or division if applicable) in (city/state), working remotely or onsite? He/she? is (description of what you will be doing and/or are allowed to disclose.) His/her? advisor is Anuj Karpatne. Many thanks, in advance, for your help! Best, blm Barbara L. Micale Public Relations Specialist <https://sanghani.cs.vt.edu/> Sanghani Center for Artificial Intelligence and Data Analytics <https://sanghani.cs.vt.edu> Virginia Tech blmicale(a)vt.edu Twitter: @SanghaniCtrVT

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Fw: Smoky Mountain Conference Data Challenge 2022
by Shalaby, Wanawsha 20 May '22

20 May '22

FYI From: Calvin Ribbens <ribbens(a)vt.edu> Sent: Friday, May 20, 2022 9:46 AM To: Shalaby, Wanawsha <wanah92(a)vt.edu> Subject: Fwd: Smoky Mountain Conference Data Challenge 2022 Hi Wanawsha, Forwarding in case this is of interest to Sanghani folks. Cal ---------- Forwarded message --------- From: Parete-Koon, Suzanne <paretekoonst(a)ornl.gov<mailto:paretekoonst@ornl.gov>> Date: Thu, May 19, 2022 at 5:48 PM Subject: Smoky Mountain Conference Data Challenge 2022 To: ribbens(a)vt.edu<mailto:ribbens@vt.edu> <ribbens(a)vt.edu<mailto:ribbens@vt.edu>> Dear Professor Cal Ribbens, Would the following events be of interest to your department’s faculty, interns, and students? Competition: Smoky Mountain Conference Data Challenge 2022 Summer 2022 This data analytics competition provides an opportunity to tackle scientific data challenges that come from eminent datasets related to ORNL, industry, and academia. These datasets come from scientific simulations and instruments in physical and chemical sciences, electron microscopy, bioinformatics, engineering, materials science, neutron sources, urban development, and other areas, and will have open research questions and tasks for participants to solve. Competitors have untill July 7 to solve one of the challenges and write a paper about their approach. Selected solutions to these challenges will be published in the SMC2022 proceedings in a CCIS Springer volume. Career researchers and students compete in different categories. All are welcome to take the challenge. Challenge 1: Machine Learning approaches to High Throughput Phenotyping<https://smc-datachallenge.ornl.gov/ch1_phenotyping/> Challenge 2: Analysis of the Summit Login Nodes Usage Data <https://smc-datachallenge.ornl.gov/summit-login-nodes/> Challenge 3: Finding Hidden Patterns in High Resolution Wind Flow Model Simulations<https://smc-datachallenge.ornl.gov/ch3_windflow/> Challenge 4: Sustainable Cities: Socioeconomics, Building Types, and Urban Morphology<https://smc-datachallenge.ornl.gov/sustainable-cities/> Challenge 5: Proteome-scale Structure Prediction Data Analysis<https://smc-datachallenge.ornl.gov/proteome/> Challenge 6: <https://smc-datachallenge.ornl.gov/sustainable-cities/> Sentinel-3 Satellite Datasets: OLCI & SLSTR <https://smc-datachallenge.ornl.gov/ch6-satellite-datasets/> Challenge 7: <https://smc-datachallenge.ornl.gov/sustainable-cities/> HPC Power and Thermal Characteristics in the Wild <https://smc-datachallenge.ornl.gov/2022ch7hpc-power/> Challenge 8: <https://smc-datachallenge.ornl.gov/sustainable-cities/> Automating signal extraction – scientist vs computer <https://smc-datachallenge.ornl.gov/2022ch8-auto-signal/> Registration link: https://smc-datachallenge.ornl.gov/registration/ Important dates: https://smc-datachallenge.ornl.gov. Webinar: How to be a Great Mentor (Mentees Welcome) May 24 1:00-2:15 EDT Mentoring is vital to developing and retaining a diverse, talented, and enabled workforce. Therefore, the first session of the Exascale Computing Project (ECP) HPC-Workforce Development Webinar series will feature a panel of experienced mentors drawn from High-Performance Computing (HPC) and STEM related careers, who will discuss tips for building the important mentor/mentee relationship and best practices in mentoring. They will share what they have learned from their mentees about developing, networking, and sponsoring the next generation of HPC and STEM professionals. All are welcome to join. This Webinar will be served on Zoom. To register, get joining information, and see the list of Panelists see: https://www.exascaleproject.org/event/mentor/ Please pass these events to any colleagues or students who may benefit. Best regards, Suzanne Parete-Koon, PhD ECP HPC-W Group Lead, ORNL HPC Engineer SMC Data Challenge co-chair paretekoonst(a)ornl.gov<mailto:paretekoonst@ornl.gov>

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