Events
Arduinos, 3D printing, Lego Mindstorms and displays, submarine
robots, and AI, where can you find all this? All of this and MUCH MORE will be at the IEEE Ottawa Robotics
Competition (ORC), Ottawa’s largest robotics competition for grade 5 to 12
students. The ORC is taking place on Sunday,
June 2nd at Earl of March
Secondary School. Best times to show up are between 10:30 am to 12:30 pm and 1:30 pm to 4 pm. The ORC is completely
open to the public, so invite your friends and family too!
Check out previous competitions at https://youtube.com/user/ieeeorc/videos.
If you have any questions, please feel free to email us at orcinfo@ieeeottawa.ca.
Fields-CQAM Public Lectures: Ali Ghodsi, University of Waterloo
What is missing from common practice in machine learning?
AI, and machine learning in particular, is enjoying its golden age. Machine learning has changed the face of the world over the past two decades but we are still a long way from achieving a general artificial intelligence. In this talk, I will discuss a couple of elements that I believe are missing from common practice in machine learning, including incorporating causality and creating a new framework for unsupervised learning.
Biography
Ali Ghodsi is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. His research involves statistical machine-learning methods. Ghodsi’s research spans a variety of areas in computational statistics. He studies theoretical frameworks and develops new machine learning algorithms for analyzing large-scale data sets, with applications to bioinformatics, data mining, pattern recognition, robotics, computer vision, and sequential decision making.
DATE:
THURSDAY, JUNE 20TH, 2019.
PRESENTATION
6:00 PM – 7:00 PM.
NETWORKING
7:00 PM – 8:00 PM.
LOCATION
HEALTH SCIENCE BUILDING, RM. 1301 (LOCATED ON THE GROUND FLOOR), CARLETON UNIVERSITY.
FREE ADMISSION FOR THIS PUBLIC LECTURE.
PLEASE REGISTERÂ HERE.
8:30 am – 9:00 am | Registration | ||
---|---|---|---|
9:00 am – 9:15 am | Opening Remarks | Rafik Goubran | Carleton University |
9:15 am – 10:00 am | Keynote Presentation:
Data Mining and Machine Learning for Authorship and Malware Analyses |
Benjamin C. M. Fung Biography |
McGill University |
10:00 am – 10:30 am | Break | ||
10:30 am – 11:45 am | Cybersecurity: Top 5 class imbalance ML challenges and data sets Abstract |
Stephan Jou Biography |
Interset |
Class Imbalance in Fraud Detection Abstract |
Robin Grosset Biography |
MindBridge Analytics Inc. | |
Handling class imbalance in natural language processing Abstract |
Isuru Gunasekara Biography |
IMRSV Data Labs | |
11:45 am – 12:45 pm | Lunch | ||
12:30 pm – 2:10 pm | Adaptive learning with class imbalanced streams Abstract |
Herna L. Viktor Biography |
University of Ottawa |
Radar-based fall monitoring using deep learning Abstract |
Hamidreza Sadreazami Biography |
McGill University | |
Privacy-preserving data augmentation in medical text analysis Abstract |
Isar Nejadgholi Biography |
National Research Council | |
Failure modelling of a propulsion subsystem: unsupervised and semi-supervised approaches to anomaly detection Abstract |
Julio J. Valdés Biography |
National Research Council | |
2:10 pm – 2:25 pm | Break | ||
2:25 pm – 3:40 pm | TBD | Reddy Nellipudi | DB Schenker |
AuditMap.ai: Hierarchical Sentence Classification in Unstructured Audit Reports Abstract |
Daniel Shapiro Biography |
Lemay.ai | |
Deep Learning techniques for unsupervised anomaly detection Abstract |
Dušan Sovilj Biography |
RANK Software Inc. | |
3:40 pm – 3:50 pm | Closing Remarks |
The inaugural OSDforum will take place in Ottawa this September 18. It is of interest to System architects, software designers, hardware designers and researchers from government, industry and academia.
RISC-V is the 5th generation of the Reduced Instruction Set Computer (RISC-V) Instruction-Set Architecture (ISA), the OpenHW Group is a not-for-profit global organisation aiming to boost the adoption of open-source processors by providing a platform for collaboration, creating a focal point for ecosystem development, and offering open-source IP for processor cores.
Don’t miss out the opportunity to join this exciting new development platform and get your own RISC-V development board to keep. All this while learning from leading industry and academic experts focused on IoT, Edge and Machine Learning development that leverage open source SW and HW.
Space is limited and we have all indications that the event will sell out. Register today.
​Dear Ottawa Section members,
the COVID-19 pandemic has reached a level of urgency that needs an “all hands on deck” approach..If you are still waiting to play a role by contributing your academic, professional or personal skills to find technology-based solutions: please join us on a web call to organise a response:
Organiser: IEEE-Ottawa SIG on Humanitarian Technology
Date: Friday April 10
Time: 16h30
URL:Â Google Meet invitation
    https://meet.google.com/wep-xofb-uzo?authuser=1&hs=122
Tentative agenda:
(5min) Introductions
(15min) Sharing of IEEE-specific COVID-19 resources
(25min) Roundtable of local resources
(15min) Roundtable of known needs
(* min) Open discussion & wrap-up
Please RSVP by emailing: alfredo.herrera@ieee.org : this will enable us to prepare the agenda and round table with a number of participants in mind.