Events

May
18
Sat
Present Around The World (PATW) Competition @ 1125 Colonel By Dr, Ottawa, ON K1S 5B6
May 18 @ 11:00 – 13:00
Present Around The World (PATW) Competition @ 1125 Colonel By Dr, Ottawa, ON K1S 5B6 | Ottawa | Ontario | Canada

The PATW is a global competition for Young professionals and students within engineering to develop and showcase presentation skills. Membership to the IET is not a requirement to enter, but you must be 18-30 years of age and be prepared to;

Deliver a 10 minute presentation on any engineering or technology related area. Enhance your knowledge, develop your skills, increase your profile, and open doors for your career.

 

For more details see : https://www.theiet.org/PATW

Contact kyle.manel@ietvolunteer.org for event information and/or for registration.

Jun
20
Thu
Fields-CQAM Public Lectures: What is missing from common practice in machine learning? @ Carleton University
Jun 20 @ 19:00 – 20:00

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 REGISTER HERE.

Jun
21
Fri
FIELDS CENTRE OF QUANTITATIVE MODELLING AND ANALYSIS: WORKSHOP ON Machine Learning in the Presence of Class Imbalance @ Residence Commons, Carleton University
Jun 21 @ 08:30 – 16:30
FIELDS CENTRE OF QUANTITATIVE MODELLING AND ANALYSIS: WORKSHOP ON Machine Learning in the Presence of Class Imbalance @ Residence Commons, Carleton University | Ottawa | Ontario | Canada

 

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
Abstract

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

 

Feb
20
Thu
Digital Marketing – Tools and Methodologies @ RA Centre
Feb 20 @ 19:30 – 21:00

Digital Marketing — Tools and Methodologies

Joint presentation IEEE Ottawa Section Consultants Network and IET Ottawa LN

Not your Grandmother’s Marketing – The impact of SaaS and AI

 Since Google’s arrival on the scene in the late 1990’s,
marketing took a turn to digital, never to look back again.  With the proliferation of technologies such
as Artificial Intelligence, and novel business models like
Software-as-a-Service (SaaS), marketing tools and techniques continue to
rapidly evolve.  Our eyes glued to
screens of devices of all sizes, we are at the same time a willing victim and a
reluctant participant in the marketing dance in both our professional and
personal lives.  These combined bring a
huge democratization of marketing for businesses, allowing for successful
growth in the most unlikely locations.

Speaker: Dobrila Rancic Moogk

Dobrila is VP Marketing at Giatec Scientific, an IoT company
revolutionizing concrete testing.
Through her work in and with start-ups on strategic marketing, Dobrila’s
passion for accelerating commercialization of innovation results in significant
growth and scale-up.  This is combined
with her drive to lead her university students to stellar career starts by
passing on her cutting-edge SaaS marketing skills to the next generation of
business leaders.

 Over her 25 years’
experience in the high-tech industry spanning North America
and Europe, she held marketing and R&D leadership
positions with dynamic corporations such as Bell-Northern Research, LSI
Logic, and MOSAID, among others.  Dobrila
has a BSEE, as well as Master of Engineering, and MBA degrees from University
of Ottawa.

 She is a member of
the Board of Directors of Invest Ottawa and Bayview Yards, the Community Impact
Cabinet at United Way East Ontario,
past chair of Volunteer Ottawa, and past vice-chair of the Women in Engineering
and Computer Science at University of
Ottawa.

IEEE Ottawa Section Logo

© Copyright 2020 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.