Events

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

 

Sep
2
Wed
Characterization and Modeling of GaN HEMT Trapping Effects for Microwave Circuit Design
Sep 2 @ 11:00 – 12:00

 

IEEE Ottawa Section: MTT-S / AP-S Chapter presents:

Title: Characterization and Modeling of GaN HEMT Trapping Effects for Microwave Circuit Design

Date: September 2nd, 2020

Time: 11 AM (ET)

Register at: https://events.vtools.ieee.org/m/238482

This talk will review some recent advancements achieved on the characterization and modelling of the trapping effects felt in GaN HEMT transistors, and their impact on microwave circuit design. Because of their nowadays importance, a particular attention will be payed to applications on high power amplifiers for mobile wireless infrastructure and pulsed radar applications.

For that, the talk will start by recollecting the most common model formulations adopted for the various levels of RF engineering, from the device level (physics) to the transistor (circuit) and amplifier (system) level. Starting by the Shockley-Read-Hall capture and emission processes we will be able to understand one of the fundamental signatures of trapping effects, the significantly different charge and discharging time constants, and its impact on power amplifier nonlinear distortion behavior. Then, some widely adopted approaches of the channel current transients’ characterization are addressed and the talk concludes by presenting some illustrative cases of application to RF high power amplifiers.

Speaker: Jose C. Pedro

José C. Pedro received the Diploma, Ph.D., and Habilitation degrees in electronics and telecommunications engineering from the Universidade de Aveiro, Aveiro, Portugal, in 1985, 1993, and 2002, respectively.

He is currently a Full Professor with the Universidade de Aveiro and head of the Aveiro site of the Instituto de Telecomunicações. He has authored 2 books and authored or co-authored more than 200 papers in international journals and symposia. His current research interests include active device modelling and the analysis and design of various nonlinear microwave circuits.

Dr. Pedro was a recipient of various prizes including the 1993 Marconi Young Scientist Award, the 2000 Institution of Electrical Engineers Measurement Prize, the 2015 EuMC Best Paper Microwave Prize, and the Microwave Distinguished Educator Award. He has served the scientific community as a Reviewer and an Editor for several conferences and journals, namely, the IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, for which he was the Editor-in-Chief.

Sep
26
Sat
WIE HACK613: The Ottawa Hackathon
Sep 26 @ 14:00 – 17:00

 

Date and Place: The event will be held online on September 26th and 27th, 2020.

“Every accomplishment starts with the decision to try” ~ John F. Kennedy

What?
New to Hackathons? Are you also interested in participating in IEEEXtreme 14.0? IEEE WIE Ottawa presents the first ever Mock Hackathon in Ottawa! Win Exciting Prizes and get experience with us. No need to think of an idea! The questions will be given to you. Our mentors will further help you to get a head start in your hackathon journey! This is a practice event just for you! Learn more about IEEEXtreme here-> https://ieeextreme.org/

When?
September 26th and 27th, 2020

Where?
The event is fully online including the mentorship*.

Agenda
September 26th, 2020
01:00 PM The opening ceremony

02:00 PM Commencement of Hackathon

05:00 PM Final Submission

September 27th, 2020
01:00 PM Results declaration webinar

01:30 PM Prize announcement

02:00 PM The closing ceremony

For More Details Visit: https://wie.ieeeottawa.ca/hack613-the-ottawa-hackathon/

Sep
28
Mon
Online Talk: From bees to Drones: Exploring bio-inspired machine vision applications for precision agriculture
Sep 28 @ 18:00 – 20:00
Online Talk: From bees to Drones: Exploring bio-inspired machine vision applications for precision agriculture

Online Talk: From bees to Drones: Exploring bio-inspired machine vision applications for precision agriculture

Bees are used as vectors for pollination and transport of agricultural chemicals in outdoor agriculture and greenhouses. However, in certain situations the use of natural pollinators is problematic. Small unmanned aerial vehicles (UAVs) could serve as an alternate pollination vector in such situations and perform other functions. A step towards the deployment of such a tool is to bring the ability to locate, classify, and analyze flowers aboard a drone.

More info and registration: https://wie.ieeeottawa.ca/event/from-bees-to-drones-exploring-bio-inspired-machine-vision-applications-for-precision-agriculture/.

A presentation by IEEE WIE Ottawa.

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