Resources

Presentation at IDSTA 2020

In Oct. 2020, we presented our work on the analysis of federated learning as a distributed solution for learning on edge devices in IDSTA 2020 conference which was hold online. Our presentation slides are available online.

Presentation at CNSM 2019

In Oct. 2019, Ms. Sarah Shah (MSc. student at the University of Calgary) presented our modeling technique for predicting the execution time of big data applications running on Apache Spark. Presentation slides are available online.

Machine Learning/AI Workshop

In Sep. 2019, I've been involved in organizing ML/AI workshop at Mount Royal University. This event had 3 keynote talks and 6 workshops with speakers from industry and academia. All workshop resources are available in the event homepage.

WestGrid Machine Learning Summer School

In May 2019, I taught machine learning workshops at WestGrid Summer Schools at the University of Calgary. Here are the resources for this workshop:

Artificial Neural Networks, Code

Adaptive neuro-fuzzy inference system , Code

k-means clustering , Code

PCA for Feature Selection , Code

A Non-Specialist Guide to Machine Learning

In May 2019, I gave a talk in LibEd 2019 conference with the title of "The Decade of Machine Learning: A Non-Specialist Guide to Machine Learning". In this talk, I covered the advancement of the machine learning algorithm, from the classical algorithms, to the deep learning techniques and recently used generative models.

This talk was co-presented with Professor Randy Connolly.

ExploreStem 2019

ExploreSTEM is an interactive conference for grade nine girls to Explore the Exciting World of Science, Technology, Engineering and Mathematics!

In ExploreSTEM 2019, we (my students and I) offered the IntelligentMinds workshop where we introduced Artificial Intelligence to high school students.

Resources for ExploreStem

Computing & Creativity

In May 2019, I gave a talk at Intelligent Learning Renart Center about Computing and Creativity.