[Sds-seminars] [Sds-announce] SampTA 2023 at Yale this July

[Dan Spielman]

Hello All,


I am writing to invite you to submit and participate in SAMPTA 2023.  After
a hiatus during the pandemic, SampTA 2023 will be back, and held at Yale
University, New Haven, Connecticut during the week of *July 10-14, 2023*.
Main organizers of SAMPTA 2023 are Smita Krishnaswamy (Yale), Bastian Rieck
(Helmholz Institute), Ian Adelstein (Yale) and Guy Wolf (University of
Montreal).  The call for papers is at https://sampta
2023.github.io/call-for-papers
<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsampta2023.github.io%2Fcall-for-papers%2F&data=05%7C01%7Csmita.krishnaswamy%40yale.edu%7C4d1c8754a1ba41e0d5e308db0ed1a052%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638120065716730964%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ffCqXiRvcY0hXE4UkRrY6jTVQEtQsR2YfB2V7Px%2BMP0%3D&reserved=0>
with
a full paper submission deadline of *March 27th 2023.*



SampTA (Sampling Theory and  Applications) is a biennial interdisciplinary
conference for mathematicians, engineers, and applied scientists, which has
been active since 1995. The main purpose of SampTA is to exchange recent
advances in sampling theory and to explore new trends and directions in the
related areas of application. The conference focuses on such fields as
signal processing and image processing, machine learning, coding theory,
control theory, real and complex analysis, harmonic analysis, the theory of
differential equations, and applications to real world datasets.



This year’s SampTA features plenary talks by prominent speakers
including Michael
Bronstein
<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cs.ox.ac.uk%2Fpeople%2Fmichael.bronstein%2F&data=05%7C01%7Csmita.krishnaswamy%40yale.edu%7C4d1c8754a1ba41e0d5e308db0ed1a052%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638120065716730964%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=8ywbU%2FRJwCb4GWbNM0vUMi5eSDWEbs4Hm1jdMXQGh0s%3D&reserved=0>
 (Oxford), Dan Spielman
<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fcs.yale.edu%2Fhomes%2Fspielman%2F&data=05%7C01%7Csmita.krishnaswamy%40yale.edu%7C4d1c8754a1ba41e0d5e308db0ed1a052%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638120065716887212%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=zstMg19YXhxxSn258BuM8mmi9qleZleyCJ%2FfzWFvcA8%3D&reserved=0>
 (Yale), Soledad Villar
<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ams.jhu.edu%2Fvillar%2F&data=05%7C01%7Csmita.krishnaswamy%40yale.edu%7C4d1c8754a1ba41e0d5e308db0ed1a052%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638120065716887212%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qE1jhSRF%2FNDLjwZ6iMCqNcAsH0sp5OrJPVGir5hUAHo%3D&reserved=0>
(Johns
Hopkins), Samory Kpotufe
<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.columbia.edu%2F~skk2175%2F&data=05%7C01%7Csmita.krishnaswamy%40yale.edu%7C4d1c8754a1ba41e0d5e308db0ed1a052%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638120065716887212%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=cmkwfjGQFVT4jNSXgazlu%2F30otjeC068uPLDlqn%2FKeA%3D&reserved=0>
(Columbia
University), Mark Iwen
<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fusers.math.msu.edu%2Fusers%2Fiwenmark%2F&data=05%7C01%7Csmita.krishnaswamy%40yale.edu%7C4d1c8754a1ba41e0d5e308db0ed1a052%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638120065716887212%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=INvQN1UZ%2FJCEmFG71AulyQteeI7rfTwwTQWY01b5jzU%3D&reserved=0>
(Michigan
State University), Holger Rauhut
<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.mathc.rwth-aachen.de%2F~rauhut%2Fhome%2F&data=05%7C01%7Csmita.krishnaswamy%40yale.edu%7C4d1c8754a1ba41e0d5e308db0ed1a052%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638120065716887212%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=zLgkxLcF6Ix3X7BwW7F9EUzyx0OKrupWE3IeEScHFJA%3D&reserved=0>
(Aachen
University), Coralia Cartis
<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.maths.ox.ac.uk%2Fpeople%2Fcoralia.cartis&data=05%7C01%7Csmita.krishnaswamy%40yale.edu%7C4d1c8754a1ba41e0d5e308db0ed1a052%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638120065716887212%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=wXesAaAcvi9dBuL7lOkcp2KTc0py1olwdIHvH%2Fpa0Og%3D&reserved=0>
(Oxford)
and Rebecca Willett
<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwillett.psd.uchicago.edu%2F&data=05%7C01%7Csmita.krishnaswamy%40yale.edu%7C4d1c8754a1ba41e0d5e308db0ed1a052%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C638120065716887212%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2BpGGy4l0Yh%2Fq2RF2UW1w8kLC%2FPVOLHwl359mBtzDoAw%3D&reserved=0>
(University
of Chicago). It will also features, special sessions on selected topics
topics such as Manifold Learning from Data, Signal and Image Processing,
Methods for Low Rank Tensors and Matrices, Data Geometry and Optimization,
Randomized Algorithms for Complex Data, Machine learning and Signal
Processing on Graphs and Manifolds as well as Sampling theory in
Neuroscience.


 --Dan
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