SOCR News APS 2025 - Revision history

Dinov at 14:41, 18 March 2025

2025-03-18T14:41:35Z

Dinov: /* Resources */

2025-03-13T00:19:54Z

‎Resources

Dinov: /* Numerical and Analytical Complex-time Transformations of Longitudinal Processes and Spacekime Analytics */

2025-03-13T00:19:42Z

‎Numerical and Analytical Complex-time Transformations of Longitudinal Processes and Spacekime Analytics

Dinov: /* Resources */

2025-03-13T00:18:54Z

‎Resources

Dinov: /* Numerical and Analytical Complex-time Transformations of Longitudinal Processes and Spacekime Analytics */

2024-12-21T00:53:20Z

‎Numerical and Analytical Complex-time Transformations of Longitudinal Processes and Spacekime Analytics

Dinov: /* SOCR Presentations */

2024-12-21T00:51:55Z

‎SOCR Presentations

Dinov: /* SOCR Presentations */

2024-12-21T00:34:08Z

‎SOCR Presentations

Dinov at 00:22, 21 December 2024

2024-12-21T00:22:41Z

Dinov at 20:55, 20 October 2024

2024-10-20T20:55:41Z

Dinov: Created page with "== SOCR News & Events: '''2025 APS Global Physics Summit''' == ==Annual APS March Meeting== The [https://meetings.aps.org annual American Physical Society's..."

2024-10-20T20:52:22Z

Created page with "== SOCR News & Events: '''2025 APS Global Physics Summit''' == ==Annual APS March Meeting== The [https://meetings.aps.org annual American Physical Society's..."

New page

== [[SOCR_News | SOCR News & Events]]: '''2025 APS Global Physics Summit''' ==

==Annual APS March Meeting==

The [https://meetings.aps.org annual American Physical Society's March Meetings] are scientific research conferences convening over 13,000 physicists and students from around the globe to connect and collaborate across academia, industry, and major labs. The 2025 '''APS Global Physics Summit''' is aligned with the United Nations-proclaimed ''2025 International Year of Quantum Science and Technology''. There are 3 venues for the APS Global Physics Summit campus — Anaheim Convention Center, Anaheim Marriott, and Hilton Anaheim.

[[Image:APS_2025_Summit.png|500px|thumbnail|center| [https://summit.aps.org/ 2025 APS Global Summit] ]]

The SOCR group has submitted 2 abstracts for oral invited presentations.

==SOCR Presentaitons==

== Invited Special Session Organizer & Chair==
* [https://umich.edu/~dinov Ivo Dinov], [https://www.umich.edu University of Michigan], [https://www.socr.umich.edu SOCR], [https://midas.umich.edu MIDAS].

==Resources==
* ... coming up later ...

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@@ Line 15: / Line 15: @@
 * '''Presenter''': [https://socr.umich.edu/people/SOCR_Personnel_Yueyang.html Yueyang Shen] (co-authors Yupeng Zhang, and Ivo Dinov)
 * '''Title''': [https://summit.aps.org/events/MAR-N37/2 Probabilistic Symmetry, Variable Exchangeability, and Deep Network Learning Invariance and Equivariance]
 * '''Session Chair''':  Carlos Benavides-Riveros, University of Trento
 * '''Presentation Method''': In-person Oral Presentation
@@ Line 38: / Line 39: @@
 ==Resources==
 * [https://wiki.socr.umich.edu/images/b/ba/Dinov_Spacekime_2025_Slidedeck_APS_Summit.pdf Dinov's ''Numerical and Analytical Complex-time Transformations of Longitudinal Processes and Spacekime Analytics'' slides]
+* [https://socr.umich.edu/docs/uploads/2025/Shen_APS_2025.pdf Shen's ''Probabilistic Symmetry, Variable Exchangeability, and Deep Network Learning Invariance and Equivariance'' slides]
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@@ Line 37: / Line 37: @@
 ==Resources==
-* [https://wiki.socr.umich.edu/images/b/ba/Dinov_Spacekime_2025_Slidedeck_APS_Summit.pdf Dinov's "" slides]
+* [https://wiki.socr.umich.edu/images/b/ba/Dinov_Spacekime_2025_Slidedeck_APS_Summit.pdf Dinov's ''Numerical and Analytical Complex-time Transformations of Longitudinal Processes and Spacekime Analytics'' slides]
 <hr>
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@@ Line 27: / Line 27: @@
 * '''Presenter''': [https://www.socr.umich.edu/people/dinov/ Ivo Dinov] (Co-author: Yueyang Shen)
 * '''Title''': 2630589 ([https://summit.aps.org/events/MAR-C37/3 ''Numerical and Analytical Complex-time Transformations of Longitudinal Processes and Spacekime Analytics''])
 * '''Presentation Method''': Invited in-person lecture
 * '''Session''': [https://summit.aps.org/events/MAR-C37 MAR-C37 (Machine Learning for Complex Systems)]

@@ Line 33: / Line 33: @@
 * '''Date/Time/Place''': [https://summit.aps.org/events/MAR-C37 3:00 pm - 6:00 pm Monday, March 17, 2025, Session: MAR-C37, Anaheim Convention Center, 258B (Level 2))]
 * [https://summit.aps.org/events/MAR-C37/3 '''Abstract''']:
-: Complex-time (kime) representation of repeated measurement longitudinal processes paves the way for advanced spacekime statistical inference and artificial intelligence (AI) applications. Extending time into the complex plane offers a unified framework connecting fundamental quantum mechanics principles, statistical dynamics, and machine learning. Kime representation enhances both model-based statistical inference techniques – utilizing classical probability distributions – and model-free AI prediction and classification algorithms – relying on data and generalized functions. Many open mathematical-physics problems emerge from this formulation, including definition and interpretation of a consistent spacekime-metric tensor and classification of alternative time-series to kime-surfaces transformations. Simulations and observed neuroimaging data demonstrate the utility of complex-time representation and the induced spacekime analytics. These methods enable forward prediction by extrapolating processes beyond their observed timespan and facilitate group comparisons based on corresponding kime surfaces. Additionally, they allow for statistical quantification of differences between experimental groups and conditions, support topological kime surface analysis, and enhance AI prediction for repeated measurement longitudinal data
+: Complex-time (kime) representation of repeated measurement longitudinal processes paves the way for advanced spacekime statistical inference and artificial intelligence (AI) applications. Extending time into the complex plane offers a unified framework connecting fundamental quantum mechanics principles, statistical dynamics, and machine learning. Kime representation enhances both model-based statistical inference techniques – utilizing classical probability distributions – and model-free AI prediction and classification algorithms – relying on data and generalized functions. Many open mathematical-physics problems emerge from this formulation, including definition and interpretation of a consistent spacekime-metric tensor and classification of alternative time-series to kime-surfaces transformations. Simulations and observed neuroimaging data demonstrate the utility of complex-time representation and the induced spacekime analytics. These methods enable forward prediction by extrapolating processes beyond their observed timespan and facilitate group comparisons based on corresponding kime surfaces. Additionally, they allow for statistical quantification of differences between experimental groups and conditions, support topological kime surface analysis, and enhance AI prediction for repeated measurement longitudinal data.
 ==Resources==

@@ Line 29: / Line 29: @@
 * '''Presentation Method''': Invited in-person lecture
 * '''Session''': [https://summit.aps.org/events/MAR-C37 MAR-C37 (Machine Learning for Complex Systems)]
 * '''Session Chair''': [https://www.socr.umich.edu/people/dinov/ Ivo Dinov (Michigan)]
 * '''Date/Time/Place''': [https://summit.aps.org/events/MAR-C37 3:00 pm - 6:00 pm Monday, March 17, 2025, Session: MAR-C37, Anaheim Convention Center, 258B (Level 2))]

@@ Line 13: / Line 13: @@
 ===Probabilistic Symmetry, Variable Exchangeability, and Deep Network Learning Invariance and Equivariance===
-* '''Presenter''': Yueyang Shen (co-authors Yupeng Zhang, and Ivo Dinov)
+* '''Presenter''': [https://socr.umich.edu/people/SOCR_Personnel_Yueyang.html Yueyang Shen] (co-authors Yupeng Zhang, and Ivo Dinov)
-* '''Submission ID''': 2682566
+* '''Title''': [https://summit.aps.org/events/MAR-N37/2 Probabilistic Symmetry, Variable Exchangeability, and Deep Network Learning Invariance and Equivariance]
-* '''Submission Type''': Oral Abstract
+* '''Session Chair''':  Carlos Benavides-Riveros, University of Trento
-* '''Presentation Method''': In-person
+* '''Presentation Method''': In-person Oral Presentation
-* '''Section''': 23.01.15 Artificial Intelligence in Biomedical Imaging and Therapy (GDS, GMED, DBIO)
+* '''Session''':  [https://summit.aps.org/events/MAR-N37 (MAR-N37) AI/ML-Driven Quantum Simulations, Quantum Monte Carlo and Variational II]
 ===Numerical and Analytical Complex-time Transformations of Longitudinal Processes and Spacekime Analytics===

@@ Line 5: / Line 5: @@
 [[Image:APS_2025_Summit.png|500px|thumbnail|center| [https://summit.aps.org/ 2025 APS Global Summit] ]]
-The [https://meetings.aps.org annual American Physical Society's March Meetings] are scientific research conferences convening over 13,000 physicists and students from around the globe to connect and collaborate across academia, industry, and major labs. The 2025 '''APS Global Physics Summit''' is aligned with the United Nations-proclaimed ''2025 International Year of Quantum Science and Technology''. There are 3 venues for the APS Global Physics Summit campus — Anaheim Convention Center, Anaheim Marriott, and Hilton Anaheim.
+The [https://meetings.aps.org annual American Physical Society's March Meetings] are scientific research conferences convening over 13,000 physicists and students from around the globe to connect and collaborate across academia, industry, and major labs. The 2025 '''APS Global Physics Summit''' is aligned with the United Nations-proclaimed ''2025 International Year of Quantum Science and Technology''. There are 3 venues for the APS Global Physics Summit campus — Anaheim Convention Center, Anaheim Marriott, and Hilton Anaheim. The [https://summit.aps.org/schedule/ APS 2025 Summit Program is here].
-The SOCR group has submitted 2 abstracts for oral invited presentations.
+The SOCR group will present two research papers as oral invited presentations.
 ==SOCR Presentations==
@@ Line 21: / Line 21: @@
 ===Numerical and Analytical Complex-time Transformations of Longitudinal Processes and Spacekime Analytics===
-* '''Presenter''': Ivo Dinov (Co-author: Yueyang Shen)
+* '''Presenter''': [https://www.socr.umich.edu/people/dinov/ Ivo Dinov] (Co-author: Yueyang Shen)
-* '''Submission ID''': 2630589
+* '''Title''': 2630589 ([https://summit.aps.org/events/MAR-C37/3 ''Numerical and Analytical Complex-time Transformations of Longitudinal Processes and Spacekime Analytics''])
-* '''Submission Type''': Invited Abstract
+* '''Presentation Method''': Invited in-person lecture
-* '''Presentation Method''': In-person
+* '''Session''': [https://summit.aps.org/events/MAR-C37 MAR-C37 (Machine Learning for Complex Systems)]
-* '''Section''': 23.01.14 AI/ML-Driven Quantum Simulations, Quantum Monte Carlo and Variational (GDS, DCOMP)
+* '''Session Chair''': [https://www.socr.umich.edu/people/dinov/ Ivo Dinov (Michigan)]
+* '''Date/Time/Place''': [https://summit.aps.org/events/MAR-C37 3:00 pm - 6:00 pm Monday, March 17, 2025, Session: MAR-C37, Anaheim Convention Center, 258B (Level 2))]
 ==Resources==