August 12th
PRELIMINARY
Agenda Overview for IEEE-ICHI 2021
Sessions are scheduled as: 7.00 a.m. - 14:00 p.m. Victoria time (14:00 p.m. - 21:00 p.m. UTC)
Preliminary overview of the sessions
(as of Jul 24th, 2021 – changes may apply)
12Aug, 2021
| Paper Session | Session | Chair/Speaker | Time | Venue |
|---|---|---|---|---|
| 1 | Welcome Note. Keynote 3 | Guotong Xie, China , Buyue Qian, PRC | 7:00 a.m. | |
| 2 | Analytics 7 - Analytics for pandemic | 8:00 a.m. | ||
| 3 | Industry track: keynotes and papers | David Meyer, USA , Sonny Varadan, USA , Prasanna Kumar Desikan, USA | 8:00 a.m. | |
| 4 | CoViD-19 - Special track | Hatice Ulku Osmanbeyoglu, USA | 10:30 a.m. | |
| 5 | Closing cerimony | Giuseppe Pozzi, Italy , Jens Weber, Canada | 13:00 p.m. |
Accepted Regular Papers | Overview of Day 4
Keynote 3
- Title to be announced, Guotong Xie
Analytics 7 – Analytics for pandemic
- Statistical analytics and regional representation learning for CoViD-19 pandemic understanding, Shayan Fazeli, Babak Moatamed and Majid Sarrafzadeh
- Topic-to-topic modeling for CiViD-19 mortality, Jeffrey Humpherys, Ahmad Halwani, Barbara E. Jones, Makoto M. Jones, Matthew H. Samore, Sadiqa Mahmood and Dale Sanders
- “Who can help me?”: knowledge infused matching of support seekers and support providers during CoViD-19 on Reddit, Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava and Amit Sheth
- A decision guidance system for CoViD-19 comprehensive mitigation with pareto-optimal health, cost and productivity outcomes, Anita Tadakamalla, Paul McKerley, Alexander Brodsky and Amira Roess
CoViD-19 – Special track
- SARS-CoV-2 ribosomal frameshifting pseudoknot: detection of inter-viral structural similarity, Luke Trinity, Lance Lansing, Hosna Jabbari and Ulrike Stege
- Information exchange in online health communities discussing CoViD-19, Michal Monselise and Christopher C. Yang
- In silico prediction of CoViD-19 test efficiency with DinoKnot, Tara Newman, Hiu Fung Kevin Chang and Hosna Jabbari
- Health informatics: clinical information systems and artificial intelligence to support medicine in the CoViD-19 pandemic, Carlo Combi and Giuseppe Pozzi
Industry – Track
- Machine learning approaches for patient state prediction in pediatric ICUs, Muhammad Aurangzeb Ahmad, Eduardo Antonio Trujillo Rivera, Murray Pollack, , Carly Eckert, Anita Patel and Ankur Teredesai
- Machine learning approaches for pressure injury prediction, Muhammad Aurangzeb Ahmad, Barrett Larson, Steve Overman, Vikas Kumar, Jing Xie, Alan Rossington, Ankur Patel and Ankur Teredesai
- Keynote 4 – The challenges and upside of blending complementary analytics across multiple companies, David Meyer
- Keynote 5 – The power of clinical laboratory data, Sonny Varadan
Closing ceremony