[Faculty] Fwd: AI Seminar Oct 25, Fri, 10:30-11:30am, GMCS405

[Xiaobai Liu]

Artificial Intelligence Seminars

*Predicting zeros of the Riemann-zeta function *

*using machine learning models*

*Speaker    *Dr. Huan Qin

                  Assistant Professor

                  Department of Mathematics and Statistics

                  San Diego State University-Imperial Valley Campus



*Where       *GMCS-405



*When        *10:30am-11:30am, Friday, October 25th, 2019



*Speaker*



Dr. Huan Qin is currently an Assistant Professor of Mathematics at San
Diego State University-Imperial Valley Campus. In 2017, she earned her
Ph.D. in Mathematics and M.S. in Statistics from the University of Iowa.
Her research interests in mathematics include analytic number theory,
automorphic forms, the subconvexity problem for L-functions, and resonance
sums. She is also interested in studies related to machine learning
regressions, time series predictions, statistical computing, and
statistical consulting.



*Abstract*



The Riemann-zeta function is one of the most celebrated number theory
objects and has been extensively studied for almost 200 years. Of
particular interest is the conjecture (Riemann Hypothesis) that all
non-trivial zeros of the Riemann-zeta function lie on the critical line:
       Re(s) = ½. In this study, we explore the possibilities of using
machine learning models to locate the non-trivial zeros. The problem of
predicting complex-valued zeros is reformulated as a real-valued time
series prediction task. The initial pool of features is selected via a
theoretical study of the relationship between Riemann-Siegel Z function and
the Riemann-zeta function. We compare prediction performance of three
architectures: Multilayer Perceptron, Recurrent Neural Network, and Support
Vector Regression.




Best,
Xiaobai Liu, PhD
Associate Professor of Computer Science
Director of Computer Vision Lab
San Diego State University
CA, 92182





---------- Forwarded message ---------
From: Xiaobai Liu <xiaobai.liu at sdsu.edu>
Date: Wed, Oct 23, 2019 at 12:03 PM
Subject: AI Seminar Oct 25, Fri, 10:30-11:30am, GMCS405
To: Naedean Anderson <nbanderson at sdsu.edu>, Shangping Ren <sren at sdsu.edu>


Dear Naedean: Could you help forward this flyer to our students via
blackboard?? Thanks


Best,
Xiaobai Liu, PhD
Associate Professor of Computer Science
Director of Computer Vision Lab
San Diego State University
CA, 92182
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