One World Mathematics of INformation, Data, and Signals (1W-MINDS) Seminar

The 1W-MINDS Seminar was founded in the early days of the COVID-19 pandemic to mitigate the impossibility of travel.  We have chosen to continue the seminar since to help form the basis of an inclusive community interested in mathematical data science, computational harmonic analysis, and related applications by providing free access to high quality talks without the need to travel.  In the spirit of environmental and social sustainability, we welcome you to participate in both the seminar, and our slack channel community!  Zoom talks are held on Thursdays either at 2:30 pm New York time or at 10:00 am Paris /4:00 pm summer Shanghai time/ 5:00 pm winter Shanghai time.  To find and join the 1W-MINDS slack channel, please click here.

Current Organizers (September 2024 - May 2025):  Axel Flinth (Principal Organizer for Europe/Asia, Umeå University), Christian Parkinson (Principal Organizer for The Americas, Michigan State University), Rima Alaifari (ETH Zürich), Alex Cloninger (UC San Diego), Longxiu Huang (Michigan State University), Mark Iwen (Michigan State University), Weilin Li (City College of New York), Siting Liu (UC Riverside), Kevin Miller (Brigham Young University), and Yong Sheng Soh (National University of Singapore).

Most previous talks are on the seminar YouTube channel.  You can catch up there, or even subscribe if you like.

To sign up to receive email announcements about upcoming talks, click here.
To join MINDS slack channel, click here.


The organizers would like to acknowledge support from the Michigan State University Department of Mathematics.  Thank you.

Zoom Link for all 2:30 pm New York time Talks: New York link 

Passcode: the smallest prime > 100 

Zoom Link for all 10:00 am Paris/4:00 pm Summer Shanghai/5 pm Winter Shanghai time Talks: Paris/Shanghai link

Passcode: The integer part and first five decimals of e (Eulers number)

FUTURE TALKS

November 21:  Fushuai Jiang (University of Maryland - College Park)

Finding a Smooth Solution to an Underdetermined Linear System

Consider a (highly underdetermined) system Au = b where A and b are given matrix-valued functions, and u is unknown and must satisfy some constraints. We describe a procedure to determine if the system admits a smooth solution. The criterion is given in terms of Fefferman's Glaeser refinement in his full solution to the Whitney extension problem. Joint work with Kevin Luli and Kevin O'Neill.

November 28Yan Shuo Tan (National University of Singapore)

TBA

December 5Qing Qu (University of Michigan)

TBA

December 12Ben Blum-Smith (Johns Hopkins University)

TBA