The data challenge poster session will be held on August 26 from 2:15- 4:00 pm using Zoom and the Conference website. It will be in the form of 2-minute lightning talks, followed by a Q&A session for each challenge. All posters will be eligible to win Best “Poster” and Honorable Mention. Some poster presentations may be pre-recorded, pre-recorded presentations will not be eligible for the best poster award. Pre-recorded presentations will be available for viewing on this webpage during the Data Challenge.
The lightning talks will be presented in a general session zoom room, attendees will have a chance to ask questions. The link to the general session will be available on the SMC2020 agenda. Extended Q&A Sessions will follow in Zoom rooms moderated by the Data sponsors for each challenge.
Presenters will have 4 slides and their paper draft ready so they can share their screen if there are questions. Full teams may participate in the Q&A sessions, but there will only be one presenter for the lighting talk. Selections for Best Poster will be based on your slides, the live lightning talk, and the Q&A session. Meet our Data Challenge Sponsors.
On Wednesday, August 26 starting at 2:15 pm. Join the main session at this Zoom link. Attendees will have the chance to ask questions during the main session or after the main session can go to one of the Q&A rooms below to meet the presenters for an extended Q&A.
| Q&A Room | Speaker | Organization | Team Name | Challenge |
| Room One | Regan Moreno | Oak Ridge National Lab | Steed’s 3 | Challenge 1: Understanding Rapid Cycling Temperature Logs from the Vulcan Diffractometer |
| Room One | Gan Feng | Texas A&M University | Data Aggies | Challenge 2: Towards a Universal Classifier for Crystallographic Space Groups |
| Room One | Jin Pan | Jin Pan | Jin Pan | Challenge 2: Towards a Universal Classifier for Crystallographic Space Groups |
| Room One | Sajal Dash | Virginia Tech | Space Sorters | Challenge 2: Towards a Universal Classifier for Crystallographic Space Groups |
| Room Two | Brian Lerner | Lil’ Data | Lil’ Data | Challenge 3: Impacts of Urban Weather on Building Energy Use |
| Room Two | Samantha Inneo | Stevens Institute of Technology | Big Duck Energy | Challenge 3: Impacts of Urban Weather on Building Energy Use |
| Room Two | Martin Peralta-Peterson | Oak Ridge National Laboratory | PK Energy Solutions | Challenge 3: Impacts of Urban Weather on Building Energy Use |
| Room Two | Jan Jakowski | University of Tennessee, Knoxville | Jan Jakowski | Challenge 3: Impacts of Urban Weather on Building Energy Use |
| Room Three | Alnour Alharin | University of Tennessee at Chattanooga | DRACULA | Challenge 4: Computational Urban Data Analytics |
| Room Three | Elizabeth Perry | Jupiter Intelligence | Intersection | Challenge 4: Computational Urban Data Analytics |
| Room Three | Clark Hathaway | Global Computing Lab | Hash It Out | Challenge 4: Computational Urban Data Analytics |
| Room Three | Ao Qu | Vanderbilt University | Van Piece | Challenge 4: Computational Urban Data Analytics |
| Room Four | Joshua Bae | Rice University | Team Geo-owl-ogy | Challenge 5: Using Machine Learning to Understand Uncertainty in Subsurface Exploration |
| Room Four | Misagh Mansouri | University of Tennessee Chattanooga | The Heavy Lifting Treatment Helper (HeaLTH) | Challenge 6: Using Artificial Intelligence Techniques to Match Patients with Their Best Clinical Trial Option |
| Room Four | Jed Thornock | C2 Labs | Data Wookies | Challenge 6: Using Artificial Intelligence Techniques to Match Patients with Their Best Clinical Trial Options |
| Room Four | Sindhu Tipirneni | Virginia Tech, Blacksburg VA | MLPower | Challenge 6: Using Artificial Intelligence Techniques to Match Patients with Their Best Clinical Trial Options |
Big Duck Energy Two
• Ronald Estevez, Stevens Institute of Technology
• Samantha Inneo, Stevens Institute of Technology
• John Schneiderhan, Stevens Institute of Technology
• Daniel Wadler, Stevens Institute of Technology
Data Aggies
• Gan Feng, Texas A&M University
• Dinakar Sagapuram, Texas A&M University
Data Wookies
• Travis Howerton, C2 Labs
• Jacob Strickland, C2 Labs
• Juliette Easley, C2 Labs
• Jed Thornock, C2 Labs
DRACULA
• Alnour Alharin, University of Tennessee at Chattanooga
• Yatri Patel, University of Tennessee at Chattanooga
• Thanh-Nam Doan, University of Tennessee at Chattanooga
• Mina Sartipi, University of Tennessee at Chattanooga
Hash It Out
• Clark Hathaway, Global Computing Lab
• Sebastian Mobo, Global Computing Lab
Intersection
• Elizabeth Perry, Jupiter Intelligence
• Venkastsundar Ramaswamy, Jupiter Intelligence
Jan Jakowski
• Jan Jakowski, University of Tennessee, Knoxville
Jin Pan
• Jin Pan
Lil’ Data
• Brian Lerner, Lil Data
• Matthew Van Dusen-Gross, Lil Data
• Casey Christian, Lil Data
ML Power
• Anna-Maria Nau, University of Tennessee, Knoxville
• Sindhu Tipirneni, Virginia Tech
• Byung Hoony Park, Oak Ridge National Laboratory
PK Energy Solutions
• Martin Peralta-Peterson, Oak Ridge National Laboratory
• Olivera Kotevska, Oak Ridge National Laboratory
Space Sorters
• Sajal Dash, Virginia Tech
• Archi Dasgupta, Virginia Tech
Steed’s 3
• Regan Moreno, Oak Ridge National Laboratory
• Chad Steed, Oak Ridge National Laboratory
• Erik Schmidt, Oak Ridge National Laboratory
• Katherine Engstrom, Oak Ridge National Laboratory
Team Geo-owl-ogy
• Joshua Bae, Rice University
• Jonathan Sheng, Riche University
The Heavy Lifting Treatment Helper (HeaLTH)
• Jeremiah, Roland, University of Tennessee Chattanooga
• Sree, Nukala, University of Tennessee Chattanooga
• Jin, Cho, University of Tennessee Chattanooga
• Mina, Sartipi, University of Tennessee Chattanooga
• Misagh, Mansouri, University of Tennessee Chattanooga
Van Piece
• Yu Wang, Vanderbilt University
• Yanbing Wang, Vanderbilt University
• Yue Hu, Vanderbilt University
• Ao Qu, Vanderbilt University