TRU Science

Abstracts & Biographies

Winter 2020

Thursdays, 1:00 - 2:00 pm in S373

View the full seminar schedule.

January 23

Biology and Chemical Biology Honours Students, TRU

Title: Honours Update Presentations

Abstract:

Come and hear Honours students in the Biology and Chemical Biology Honours programs give brief (8 minute) presentations on the research they have accomplished so far on their projects. Topics will include plant biology, bird ecology, human physiology, algal biochemistry, and antibacterial compounds.


January 30

Dr. Mike Evans, Dept. of Statistics, University of Toronto

Title: The Measurement of Statistical Evidence as the Basis for Statistical Reasoning

Abstract:

There are various approaches to the problem of how one is supposed to conduct a statistical analysis.
Different analyses can lead to contradictory conclusions in some problems so this is
not a satisfactory state of affairs. It seems that all approaches make reference to the evidence in the data
concerning questions of interest as a justification for the methodology employed.
It is fair to say, however, that none of the most commonly used methodologies is absolutely
explicit about how statistical evidence is to be characterized and measured. We will discuss the general
problem of statistical reasoning and the development of a theory for this that is based on being precise
about statistical evidence. This will be shown to lead to the resolution of a number of problems.


February 6

Dr. Rifat Saeed, Dept. of Mathematics and Statistics, TRU

Title: Application of Machine Learning in Science - Data Driven Astronomy

Abstract:

Science and astronomy are facing data explosion. Terabytes of data are being observed in these fields. Supercomputers are needed to simulate this data. To analyze data, computational approaches are needed to solve these problems.
This Seminar will look at application of machine learning in science & astronomy. Classification of stars using random forest algorithm will be discussed.
Astronomers are using artificial intelligence to model formation of galaxies, finding earth–like planets, estimation of expansion of space, and classifying stars. Statistical and algorithmic procedures are effective in defining the number and boundaries of classes, and in applying established classifications to new objects. Advanced data analysis techniques are being used to discover clusters and make classificationsin a consistent fashion.


February 27

Dr. Khazhakanush Varazdat Navoyan, Dept. of Mathematics, TRU

Title: "\xi-Weakly Convergence"

Abstract:

A Schreier set is a subset of natural numbers with a size not larger than its least element. For a fixed n, let M_n denote the collection of all those Schreier sets whose greatest element is n. It turns out that there is a connection between Schreier sets and Fibonacci numbers. In particular, the nth Fibonacci number is equal to the length of M_n. In the list of Schreier families, the collection of all Schreier sets is the first one. Schreier families, because of being enumerated through ordinals, give a rise to the quantified convergence definition, placed between weak and strong convergences. Well-observed (classical) convergences in weakand strong (norm) topologies prove to be particular cases of the quantified convergence in the language of ordinals. The work introduced in this talk is an example of the set theory concepts application to functional analysis.


March 5

Dr. Robin Kleiv, Dept. of Physics, TRU

Title: Exotic Hadrons and QCD Sum Rules

Abstract:

Protons and neutrons are held together inside atomic nuclei by the strong nuclear force, which, on a more fundamental level, binds quarks together inside protons and neutrons themselves.  The strong nuclear force is described in terms of quantum chromodynamics (QCD),  within which interactions between quarks are mediated by the exchange of particles called gluons. Bound states of quarks and gluons are called hadrons. Examples are the proton and neutron, each of which is composed of three quarks. However, more unusual hadrons are permitted to exist by QCD, including those composed of four quarks (tetraquarks or meson molecules), gluons only (glueballs), and both quarks and gluons (hybrids). Such so-called exotic hadrons have not yet been conclusively identified experimentally although there are a number of tantalizing candidates. My collaborators and I utilize a technique called QCD sum rules to calculate the physical properties of hadrons, helping to ascertain the identities of several recently observed, possibly exotic hadrons. This work complements current and future experimental efforts aimed at discovering new particles.  In this talk I will give an overview of hadronic physics and QCD sum rules. I will also discuss recent and current research that we are conducting.


March 12

Title: TBA

Abstract:

TBA


March 26

Cancelled

Abstract:

 

April 2

Title: TBA

Abstract:

TBA