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.
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
Â
The Future of Power Electronics: Â
wide bandgap devices and advanced digital power processors
ByÂ
Tanya Gachovska and Chris Winkler
     Â
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 processors, further 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: 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 |