TRU Science

Data Science Seminar Series

Fall 2023

Mondays, 9:30 a.m. - 10:30 a.m. (Pacific Time) unless otherwise specified

Date Speaker Title Location
Sep 11 Dr. Mohamed Tawhid
Dept of Math and Stat, TRU
Program Orientation OM1241
Sep 18 Dr. Maxwell Libbrecht
Simon Fraser University
Decoding the human genome through interpretable, robust and integrative machine learning

Teams
(Click here to join the meeting)

Sep 25 Dr. Muhammad Hanif
Dept of Enginering, TRU 
Deep Neural Networks for the Next Generation Wireless Communication Systems OM1241
Oct 02 No seminar, TRU closed  
Oct 09 No seminar, TRU closed  
Oct 16 Dr. Jiguo Cao
Simon Fraser University
Machine Learning for Functional Data Teams
(Click here to join the meeting)
Oct 23 Dr. Sean Hellingman
Dept of Math and Stat, TRU
Open ended data science problems in sports OM1241
Oct 30 Dr. Ajay Dhruv
Dept of Computing Science, TRU
Leveraging Advanced Machine Learning and Geospatial Analysis for Biodiversity Conservation: AI Solutions for Safeguarding Endangered Species OM1241
Nov 06 Farouk Nathoo
University of Victoria
Neural Network Disease Classification Based Feature Extraction for Imaging Genetics

Teams 
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    No seminar, TRU closed  
Nov 20 Dr. John Thompson
University of British Columbia (Okanagan Campus)
Kernel metric learning for clustering financial wellness surveys  Teams
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Nov 27 Dr. Mohamed Tawhid
Dept of Math and Stat, TRU
 Academic Integrity OM1241

 

All faculty, staff, and students are warmly invited to attend SUPER 2026, our annual showcase of undergraduate research in the Faculty of Science.

Join us to explore research ideas and opportunities and to support our student researchers as they share the results of their research. Science students from all areas of Science will be presenting posters from projects completed through Honours, Directed Studies, Undergraduate Research Experience Award Program (UREAP), and other research programs.


When and Where
Date: Tuesday, April 14
Time: 12:30–2:30 p.m.
Location: Second floor, Science Building

SUPER is designed to inspire early-year science students by highlighting what senior students have achieved. First, second, and third-year Science students are encouraged to come discover the many research opportunities available to them throughout their degree.

Information for Presenters