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When: 09/21/2023
Where: TECH 216
May 3, 2023
Location: SB 158
Time: 12:00 pm
Presenter: Dr. Nancy L. Glenn Griesinger
Harnessing Artificial Intelligence for Cancer Prognosis and Prediction: The Statistician’s Crucial Role – A Comprehensive Sequel
Abstract: Building upon last month’s award-winning presentation, this one-hour sequel delves into the resurgence of artificial intelligence (AI) and its application in machine learning for cancer prognosis and prediction. The discussion will include the relevance of computational biology and the incidence of intestinal polyps in ApcMin/+ mice, highlighting the connection between intestinal polyps and colon cancer from a clinical perspective. This joint presentation’s main focus will be the integral role of statisticians in developing predictive models using machine learning, as well as the benefits of utilizing nonparametric empirical likelihood theory based statistical models. We can achieve more accurate predictions by employing empirical likelihood and reducing dependence on distributional assumptions.
Nancy L. Glenn Griesinger is a tenured professor of mathematics and statistics with a Ph.D. in statistics from Rice University, who has been teaching at the university level for 21 years at universities in Texas, South Carolina, and California. Dr. Griesinger is also the founder and CEO of Mobile Math, LLC, a mathematics tutoring agency.
Light lunch will be provided.
Location: SB156
Title: The hierarchical organization of the Drosophila connectome
Abstract: The Hemibrain is the largest published connectome to date. It is the result of a dense reconstruction of over twenty thousand neurons and ten million synapses spanning the fruit fly Drosophila central brain. I will describe a novel approach to uncovering the hierarchical community structure of this connectome. This approach allows us to recover previously known essential to interpret the forthcoming connectomics data due to its size and complexity.
Bio:
Dr. Krešimir Josić is a John and Rebecca Moores Professor in the Department of Mathematics at the University of Houston with adjunct appointments in Biology and Biochemistry at UH, and BioSciences at Rice. He received his PhD in 1999 in applied dynamical systems. Over the last 20 plus years he has worked in different areas of mathematical biology, with a focus on understanding the structure of neuronal activity, and modeling single celled organisms from the level of signaling pathways to large microbial populations.
Professor Josic has published over 100 research papers published in top journals and one book, and received over a dozen of NSF and NIH grants. He has supervised 15 postdocs and 17 Ph.D students. He has also supervised many master students, undergraduates and high school students. In addition, he contributes to the program Engines of Our Ingenuity which is broadcast by over 50 NPR stations nationwide. See more on his webpage: https://www.math.uh.edu/~josic/
April 12, 2023
Location: SB 156
Time: 12:00 pm
Presenter: Debra Dianne Murray, Ph.D.
“The All of Us Evenings with Genetics Research Program”
Abstract:
There are several barriers to academic career advancement and obtaining external research funding that co-exists with research productivity for many underrepresented groups. The Molecular and Human Genetics Department at Baylor College of Medicine (BCM) will use the All of Us database to assist these groups by increasing representation, creating more accessible research opportunities, building networks in diverse fields, ensuring the success of all early career underrepresented biomedical researchers. The All of Us (AoU) Evenings With Genetics (EwG) Research Program at Baylor College of Medicine, a researcher engagement program, includes The AoUEwG Campus Seminar, AoUEwG Student Townhall, the Biomedical Researcher (BR) Faculty Summit (FS), and All of Us BR Scholars Program.
Debra D. Murray, Ph.D., a leader in diversity and inclusion, mentoring, and research education, is a 2021 recipient of the Norton Rose Fulbright Faculty Excellence Award in Educational Leadership. As a MPI, she recently was awarded the All of Us Evenings With Genetics Research Program from the NIH All of UsResearch Program. Dr. Murray is Director of Education and Diversity Initiatives in the Human Genome Sequencing Center (HGSC), and an Associate Professor in the Molecular and Human Genetics Department and former co-Director of the Office of Community Engagement and Diversity at Baylor College of Medicine (BCM). In this role, she focuses on faculty training and increasing diversity in the medical genetics’ programs. She is a part of the Engagement, Communication, and Education (ECE) Team that provides community engagement research and activities for the Intellectual and Developmental Disabilities Research Center (IDDRC) and is co-PI on a PCORI “Building Capacity in Hispanic Serving Institutions for PCOR/CER focused on Mental Health Impacts of COVID-19″.
Light lunch will be provided.
March 29, 2023
Location: SB 156
Time: 12:00 pm
Presenter: Yunjiao Wang
“Modelling Binocular Rivalry”
Abstract:
Binocular rivalry is a phenomenon that occurs when two dissimilar images are presented to different eyes simultaneously: instead of seeing one coherent image, one experiences percept alternating between different images. In this talk, I will discuss network models that may account for the phenomenon.
Light lunch will be provided
Dr. Glenn Griesinger is recognized as the “Black History Month 2023 – Honoree of the Day” by Mathematically Gifted and Black (https://mathematicallygiftedandblack.com/honorees/nancy-l-griesinger/).
Congratulations!
This posts Contains a sample of Symphony of Brotherhood Featuring Dr. Martin Luther King Jr. by Miri Ben-Ari courtesy of ℗© 2007 The Music Movement All Rights Reserved.
JOINT MATHEMATICS & PHYSICS COLLOQUIUM
Non-Relativistic Fermionic Quantum Mechanics (Cracking Schrödinger Nutshell)
Young Lee
Department of Physics, Texas Southern University
Young.Lee@tsu.edu
Tuesday, September 25, 2018 2:30 pm – 3:30 pmTexas Southern University Science Building, Room 146
Abstract
The non-relativistic Schrodinger equation was formulated nearly 90 years ago and has been successfully applied to various quantum mechanical systems across multiple scientific fields producing the main developments to quantum theory. The primary importance of Schrodinger’s equation arises in the implementation of the analogue of Newton’s law and continuation of classical mechanics. In the development of relativistic quantum physics, Dirac expanded the theory combining Einstein’s special relativity, quantum mechanics and the so- called fermion particle of half integer spin. This was the first theory to consistently account for special relativity within the context of quantum mechanics. In this paper, we formulate a novel mathematical approach to solve Schrodinger’s equation within the context of particle and wave theory. In our examination, we present a similar, yet unique model of fermion structure, which is consistent with the present day Dirac description. We will introduce and discuss the 1 dimensional structure of a Harmonic oscillator and free particle fermionic state. Additionally, the 3+1 dimensional structure of the fermionic state will be briefly outlined. Finally, we will compare our model with Dirac’s theory for further study. This model is not Lorentz invariant; however, the connection of classical and non-relativistic quantum theory will be explained. We will also talk about the Hydrogen atom within the framework of bound state, fermionic quantum physics.
Download the flyer .
The department of Mathematics at the Texas Southern University will hold a conference on 9/22/2018-9/23/2018 with a tentative title ‘Invitation to Mathematics’
Goals of the conference are:
Please download the flyer or visit the conference page.
Mathematics Department Seminar: Careers in Biostatistics by Dr, Lem Moye, University of Texas Health Science Center at Houston. 3-4 pm Nov. 2, SB 153. Click here to view pdf more.
Mathematics Department Colloquium: Inverse Problems and Applications. Dr Tuncay Aksotum, University of Texas at Arlington.
Please download the flyer here
Dr. Williams was born in Greenwood, MS.
Texas Southern University College of Science, Engineering and Technology Distinguished
Partial Differential Equations, Applied Mathematics, & Difference Equations
Teaching College Algebra, Business Calculus with Applications,
Trigonometry, PreCalculus, Mathematics for Elementary School Teachers,
Calculus, Number Theory
Teaching to use Calculators: T1-83 , TI-92
Teaching to use Mathematical Softwares: Maple, Derive, MS Excel
Prepare Secondary Mathematics Pre-Excel Exams
A member of Department Core Curriculum committee
Memberships in Professional Organizations:
Mathematical Association of America
National Council of Teachers of Mathematics
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Parametric Equations Describe Curves, April 20001, Vision – Potential
Watering Horses, January, 1997, Vision – Potential
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My research is in the area of nonlinear dynamical systems with focuses on theory on dynamics of networks of differential equations and its applications. Currently, I work on
NSF – Research Initiation Award: Studying the Dynamics of Network Systems by Using
Ordinary Differential Equations and Boolean Frameworks ($283,194). 5/1/2018 – 4/30/2021, PI
Seeds Grant at Texas Southern University ($8,000), 2015.
L. Huang, D. Vrinceanu, Y. Wang, N. Kulathunga and N. Ranasinghe. Discovering Nonlinear Dynamics Through Scientific Machine Learning, IntelliSys 2021 proceedings.
N. Kulathunga, N. Ranasinghe, K. Kingsman, D. Vrinceanu, L. Huang, and Y. Wang. Effects of Nonlinearity and Network Architecture on the Performance of Supervised Neural Networks, Algorithms 2021, 14, 51. https://doi.org/10.3390/a14020051.
Y. Wang, Z. Kilpatrick and K. Josic. A hierarchical model of perceptual multistability involving interocular grouping. Journal of computational Neuroscience. 2020. (DOI: 10.1007/s10827-020-00743-8)
M. Golubitsky, Y. Zhao, Y. Wang and Z. Lu. The Symmetry of Generalized Rivalry Network Models Determines Patterns of Interocular Grouping in Four-Location Binocular Rivalry, J. Neurophysiology. Sept. 18, 2019 (doi:10.1151/jn.00438.2019).
A. Ben-Tal, Y. Wang, and M. C. Leite. The logic behind neural control of breathing pattern. Scientific Reports 9: 9078, 2019. (doi.org/10.1038/s41598-019-45011-7)
Y. Wang, K. Chilakamarri, D. Kazakos and M. C. Leite. Relations between dynamics of network systems and their subnetwork systems.AIMS Mathematics, 2(3): 437-450, 2017
Y. Wang, B. Omidiran, F. Kigwe and K. Chilakamarri. Relations between the conditions of admitting cycles in Boolean and ODE network systems, Involve, Vol.10, No.5, (2017),813. DOI 10.2140/involve.2017.10.813 (B. Omidiran and F. Kigwe were two undergraduates).
A. Jacot-Guillarmod, Y. Wang, C. Pedroza, H. Ogmen, Z. Kilpatrick, K. Josic. Extending Levelt’s Propositions to perceptual multistability involving interocular grouping. Vision Research. Volume 133, April 2017, Pages 37-46.
C. Diekman, M. Golubitsky and Y. Wang. Derived Patterns in Binocular Rivalry Networks. J. Math. Neuro. (2013)
C. Diekman, M. Golubitsky, T. McMillen and Y. Wang. Reduction and dynamics of a generalized network with two learned patterns. SIAM J. Appl. Dynam. Sys.11 (4) (2012) 1270-1309.
M. Golubitsky, D. Romano, and Y. Wang. Network Periodic Solution: Rigid phase shift. Nonlinearity. 25 (2012) 1045-1074.
Y. Wang, P.Paszek, C. A. Horton, H. Yue, M. R.White, D.B. Kell, M. R. Muldoon and D.S. Broomhead. A systematic study of the response of a NF-kappaB signalling pathway to TNFalpha stimulation. 297 (2012) 137-147. Journal of Theoretical Biology
Y. Wang, P. Paszek, C. A. Horton, D. B. Kell and M. R. White, D. S. Broomhead and M. R. Muldoon. Interactions among oscillatory pathways in NF-kappaB signalling. 5(23), 2011.BMC Systems Biology