Presentations

“Demolishing the Labyrinth: Guido Crepax’s Re-Imagining of Franz Kafka’s The Trial”, at Canadian Society for the Study of Comics Conference, Toronto, ON, Saturday, May 27, 2023

Learning to Keep Your "Head Above Water" as a New Instructor Thursday, May 11, 2023:

fymsic_online_conference_2023_talk.pdf

At the First-Year Math & Stats in Canada (FYMSiC) online one-day conference, I spoke about advice that I received before starting my full-time teaching position.

Abstract:

As a new instructor there are many items that you need to learn, such as your institution's learning management system, other systems, courses, expectations, and so on. This talk will discuss different ways that new instructors can ease their heavy workloads by learning to NOT "re-invent the wheel" when teaching a new course for the first time.

Young Disabled Adults Accessing Social Services in the Waterloo-Wellington Region Wednesday, April 12, 2023:

vipsychologyposter_48x36.pptx_2.pdf

This poster by Vicky Ikeno shows her undergraduate thesis research findings. It was presented at the University of Waterloo Psychology student research conference. Read more about Young Disabled Adults Accessing Social Services in the Waterloo-Wellington Region

Categorical sl2 actions and RoCK blocks, at Sydney, Australia, Wednesday, February 15, 2023:

rock_blocks_and_klrw_algebras.pdf

Video of the talk

It's a well-known theorem of Scopes that if we consider the blocks of FpSm for all m geq 0 with a fixed defect group, they will break into a finite number of Morita equivalence classes. In fact, it was later shown by Chuang and Rouquier that all blocks with a fixed defect group are derived equivalent; from this perspective, one can think of Scopes' theorem as the observation that “most” of Chuang and Rouquier's derived equivalences are induced by Morita equivalences (i.e. are t-exact). I'll discuss how one can...

Authentic Assessment for Today's Students Tuesday, February 7, 2023

Video and slides: https://olsume.org/event/authentic-assessment-for-todays-students/

Abstract: The role of assessment in education is wide-ranging, and how we choose to assess our students will impact what they do and how they learn. Can we design assessments that serve as both accurate measures of understanding and valuable learning activities that aid knowledge retention? Can we make them accessible to a diverse group of students each with their own unique needs? In this talk, I will describe several examples of innovative assessments used in Math classes at...

Categorical sl_2 representations and modular representation theory, at Sydney, Australia, Monday, February 6, 2023:

sydney_workshop_-_lecture_1.pdf

sydney_workshop_-_lecture_2.pdf

sydney_workshop_-_lecture_3.pdf

sydney_workshop_-_lecture_4.pdf

Videos of the talks

Mini-course on applications of categorical sl_2-actions in modular representation theory.

Noncommutative resolutions and Coulomb branches, at Melbourne, Australia, Wednesday, January 18, 2023:

melbourne-2023.pdf

The noncommutative Springer resolution of type A and KLRW algebras, at IMS, Singapore, Wednesday, January 11, 2023:

singapore-2023.pdf

Video of the talk

The theory of Coulomb branch algebras, based on work of Braverman, Finkel- berg and Nakajima, has shed new light on many interesting algebras in repre- sentation theory. One of the most notable is the universal enveloping algebra of gln. I’ll explain how this theory shows a close relationship between the characteristic p and characteristic 0 representation of gln and the cylindri- cal and planar KLRW algebras, in...

Bayesian extreme learning machines for hydrological prediction uncertainty, at Google Flood Forecasting Meets Machine Learning Workshop, Online (Invite only)., Tuesday, January 10, 2023

Presented by:

Quilty, J., Jahangir, M.S., You, J., Hughes, H., Hah, D., Tzoganakis, I.

Citation:

Quilty, J. , Jahangir, M.S. , You, J. , Hughes, H. , Hah, D. , & Tzoganakis, I.. (2023, January 10-11). Bayesian extreme learning machines for hydrological prediction uncertainty [Conference presentation]. Google Flood Forecasting Meets Machine Learning Workshop, Online (Invite only).

Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting, at American Geophysical Union (AGU) Fall Meeting 2022, Online., Monday, December 12, 2022

Presented by:

Jahangir, M.S., You, J., Quilty, J.

Citation:

Jahangir, M.S. , You, J. , & Quilty, J.. (2022, December 12-16). Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting [Conference presentation]. American Geophysical Union (AGU) Fall Meeting 2022, Online.

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