Presentations

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

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.

Quantifying Uncertainty in Hydrological Simulations and Forecasts using Bayesian and Sparse Bayesian Extreme Learning Machine Models, at American Geophysical Union (AGU) Fall Meeting 2022, Online., Monday, December 12, 2022

Presented by:

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

Citation:

Jahangir, M.S. , Quilty, J. , You, J. , Hughes, H. , & Hah, D.. (2022, December 12-16). Quantifying Uncertainty in Hydrological Simulations and Forecasts using Bayesian and Sparse Bayesian Extreme Learning Machine Models [Conference presentation]. American Geophysical Union (AGU) Fall Meeting 2022, Online.

Fun with Coulomb branches, at American Institute of Mathematics, Wednesday, December 7, 2022:

aim-2022.pdf

Universal Design for Learning in Stats Monday, December 5, 2022:

universal_design_for_learning_in_stats.pptx

At the CMS Winter meeting in Toronto, as part of the session "Inclusive Practices in Large Classes" I spoke about how I employ UDL principles in my statistics classes. A video of the talk can be found here: https://www.youtube.com/watch?v=w0LBpE_SWDE

Abstract:
The last few times I have taught Statistics courses, I've employed several Universal Design for Learning (UDL) principles to make it more equitable, including multiple ways to access course material, demonstrate engagement, and submit assessments. As it turned out, students this term who normally require several...

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