We are pleased to announce a new joint seminar series between the CELS (Computing, Environment and Life Sciences) directorate of Argonne National Laboratory and Illinois Tech. The goal is to promote research collaborations between two organizations in computing fields including high performance computing, AI/ML, edge computing, data sciences, and more.
The Spring ’22 series will start with a kickoff seminar, followed by four themed seminars. Follow-up series will be arranged in the near future. All Spring ’22 seminars will be held on Wednesdays 4–5 p.m. on a weekly basis between March 2 and April 6. Each seminar will include four speakers (two from Argonne and two from Illinois Tech). Each speaker is expected to give a 10-15 minute lightning talk of his/her research. All seminars will be held online via Zoom.
The detailed schedule of the first series is listed below:
March 2, 4–5 p.m.: Kickoff Seminar
· Illinois Tech College of Computing Dean Lance Fortnow
· Argonne MCS and ALCF Directors Valerie Taylor and Mike Papka
March 9, 4–5 p.m.: AI/ML Theme
Illinois Tech presenters:
· Mustafa Bilgic (Active Learning with Rationales)
· Yan Yan (Multi-modal Machine Learning)
Argonne presenters:
· Prasanna Balaprakash (Automated Machine Learning at Scale)
· Venkat Vishwanath (Overview of ALCF AI Testbed)
March 16 [Spring Break Week]
No seminar
March 23, 4–5 p.m.: HPC Theme
Argonne presenters:
· Yanfei Guo (Message Passing Interface)
· Katherine Riley (Introduction to Argonne Leadership Computing Facility)
Illinois Tech presenters:
· Stefan Muller (Programming Languages and Analyses for HPC)
· Rujia Wang (High Performance Computing with Emerging Memory Architectures)
March 30, 4–5 p.m.: Edge Computing Theme
Argonne presenters:
· Nicola Ferrier (Artificial Intelligence at the Edge)
· Tekin Bicer (Scientific Workflows)
Illinois Tech presenters:
· Nik Sultana (Edge Computing for Big Science)
· Kyle Hale (Virtualization at the Edge)
April 6, 4–5 p.m.: Data Sciences Theme
Illinois Tech presenters:
· Lulu Kang (Energetic Variational Inference)
· Maggie Cheng (Machine Learning on Graphs)
Argonne presenters:
· Julie Bessac (Multidimensional Statistics and Data Science)
· Ryan Chard (Federated HPC for on-demand Data Science)
Zoom Connection Information
Meeting ID: 161 415 3489
Passcode: 328174
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