Events

Jun
20
Thu
The Future of Power Electronics: Wide bandgap devices and advanced digital power processors @ Solantro semiconductor corp.
Jun 20 @ 17:00 – 19:30
The Future of Power Electronics: Wide bandgap devices and advanced digital power processors @ Solantro semiconductor corp. | Ottawa | Ontario | Canada

 

The IEEE Reliability Society & Power Electronics Society Joint Ottawa Chapter and PELS Student Chapter are inviting all interested IEEE members and prospective members to celebrate the 1st PELS Day  with a seminar and tour in Solantro’s labs

 

The Future of Power Electronics:  

wide bandgap devices and advanced digital power processors

By 

Tanya Gachovska and Chris Winkler

      

DATE:

June 20th, 2019

 

TIME:
    Refreshments, Registration and Networking: 17:00

    Seminar: 17:30 – 18:30;

    Trip: 18:30 19:30

PLACE:

    Solantro Semiconductor Corp.

    146 Colonnade Rd; Suite 200; Ottawa ON, Canada; K2E 7Y1

 

Abstract

Wide bandgap semiconductors have drawn a lot of attention in power applications due to their superior material properties, such as withstand to high critical electric field so the breakdown voltage is a minimum of 10X higher and thus can be thinner devices because of the 100 times smaller on-resistance than Si. Their significantly smaller conduction and switching losses compared to Si devices enable high-frequency switching leading to size decrease of the overall system. Smart control of wide bandgap devices, by utilizing advanced digital processorsfurther benefits power application by enabling designs with low parts count, high power density and a low BOM cost. Also, by supporting variable frequency operation and control methodologies, low EMI/RFI and high efficiency can be achieved. Presented will be some benefits of wide bandgap semiconductors and their control with Solantro’s advanced digital power processor (SA4041) for Smart Power Supplies, and other applications.

After the presentation, a tour showing the Smart Grid project together with Solantro’s Power development, operation and testing labs will be conducted. Solantro engineers will be happy to answer questions during the tour.

Admission

Free: Register by email: ottawapels@gmail.com

Since the event is at
Solantro and the space is limited, only people registered for the event will
be admitted
.

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

 

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