Lunchbox Lecture Series | PIMS - Pacific Institute for the Mathematical Sciences

The PIMS Lunchbox Lecture series brings cutting edge research mathematics to a mixed academic and industrial audience. The events typically take place at the University of Calgary's downtown campus (in the heart of Calgary's business district) and features speakers from industry and academia talking about recent mathematical developments and providing a venue for networking.

To hear about upcoming PIMS Lunchbox Lectures and other associated news, please register for the Lunchbox Lecture Mailing list

Join for Lunchbox Lectures Mailing List

Previous Events

Hysteresis, a phenomenon in which the response of a system lags behind and depends on its past history, has been used to understand various psychosocial phenomena, including abrupt shifts in opinion dynamics, political polarization, and more. The aim...

Machine Learning including deep learning techniques have been successfully used in many big-data fields. However, a limitation of many machine learning tools is that one needs to have a very large sample size to train a model with many parameters...

I shall first explain the concept of sparse solution of rectangular linear system. Algorithms such as L1 minimization and greedy strategy will be introduced for finding a sparse solution of underdetermined linear system. As an example, economic...

In many fields such as medicine, engineering, economics and psychology, we often encounter a pooled population and its observations while the subpopulation identification is of interest but unobserved. For example, primary care physicians want to...

With advanced in computer and sensor technologies, large-scale data sets are now routinely generated and recorded from a wide range of sources in business, sciences, engineering, health care and medical research, etc. Although data-driven method...

Physical, geophysical, chemical, living and man-made systems often show behaviors that cannot be understood by studying their building blocks or constituents to ever finer detail but that are emergent. The concept of emergence can be summarized by...

A flexible Fluid-Structure Interaction (FSI) framework is presented. The framework is derived on the basis of an Augmented Lagrangian formulation for FSI, and is suitable for matching and non-matching interface discretization. The key constituents of...

Data analytics is increasingly becoming an important part of decision making process in applications ranging from management, technology, policy analysis and sports. Key decisions that have been traditionally made by humans are now partly made or at...

Mathematics is integral to every aspect of game development including character and level creation, movement, player input, NPC behaviour, physics simulations, and real-time rendering. Fortunately for game designers, most of this computation is...

Chronic disease management often involves sequential decisions that have long-term implications. Those decisions are based on high dimensional information, which pose a problem for traditional modeling paradigms. In some key instances, the disease...