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.
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.
THURSDAY, JUNE 20TH, 2019.
6:00 PM – 7:00 PM.
7:00 PM – 8:00 PM.
HEALTH SCIENCE BUILDING, RM. 1301 (LOCATED ON THE GROUND FLOOR), CARLETON UNIVERSITY.
FREE ADMISSION FOR THIS PUBLIC LECTURE.
PLEASE REGISTER 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
|10:00 am – 10:30 am||Break|
|10:30 am – 11:45 am||Cybersecurity: Top 5 class imbalance ML challenges and data sets
|Class Imbalance in Fraud Detection
|MindBridge Analytics Inc.|
|Handling class imbalance in natural language processing
|IMRSV Data Labs|
|11:45 am – 12:45 pm||Lunch|
|12:30 pm – 2:10 pm||Adaptive learning with class imbalanced streams
|Herna L. Viktor
|University of Ottawa|
|Radar-based fall monitoring using deep learning
|Privacy-preserving data augmentation in medical text analysis
|National Research Council|
|Failure modelling of a propulsion subsystem: unsupervised and semi-supervised approaches to anomaly detection
|Julio J. Valdés
|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
|Deep Learning techniques for unsupervised anomaly detection
|RANK Software Inc.|
|3:40 pm – 3:50 pm||Closing Remarks|
Technological Stewardship is a new concept intended to focus on the promise of technology to create a better future for society today and avoid the negative consequences. While Technologies have the promise to address key issues and create a better future, new developments often amplify inequities and create new kinds of risk. What does this mean for how to move
Through this interactive 2-hour workshop, you will learn about Technological Stewardship and develop your ability to ensure technology makes the world a better place for all. You will also be introduced to a powerful tool for practically integrating these concepts into the product design/development process.
Mark Abbott is the Executive Director of the Engineering Change Lab, which serves as a catalyst for evolving the engineering community to reach its full potential as stewards of technology for the benefit of humanity. Over the past 5 years, over 125 organizations and 350+ individual leaders (CEOs, VPs, Deans, Directors) have collaborated using the Lab’s platform advancing understanding and action to evolve engineering. Previously, Mark served as member of the Executive Team at Engineers without borders for several years.
This interactive workshop is limited to 45 attendees so as to create an optimal interactive and learning environment. This series of workshops is planned to have subsequent workshops taking place in March and April. We are especially interested in professionals willing to tryout the powerful tools and providing feedback on integrating the concepts into the product design / development process.
IEEE Ottawa Seminar Series on AI and Machine Learning
IEEE Ottawa Section, PHO Chapter,
CS Chapter, SP Chapter, TEMS Chapter
Jointly with Vitesse
The Rise & Foreseeable Future of
Observations from a Commercial Pioneer
Wednesday, March 18, 2020
359 Terry Fox Drive, Suite 200, Kanata, Ontario
11:30 – 13:30
Artificial Intelligence (AI) is constantly in the news
with stories of promise and peril.
Political leaders have declared it a national priority, the global high
tech industry is racing AI apps to markets and policy and governance
implications of AI are in their infancy.
We will explore where this is all heading.
We will begin with some definitions and a bit of
history behind the rise of AI. The talk
will then place AI in the context of being a potentially disruptive technology
on society. This will lead to a discussion about ethics and moral issues
regarding the development and use of aspects of AI as a dual-use
technology. Time permitting, the role of
AI in defence and security will be used as an example for appreciating the
complexity and ethical issues brought on by AI. We will then turn to the role
of the engineer in this new world being enabled by AI.
Finally, we will review potential governance and
policy issues and options to address the rapid unchecked development and
application of AI within society at large; and, ultimately end with a
The speaker was
a pioneer in the commercialization of AI in the 1980s and today is actively
involved in ethical and policy issues related to AI. Peter has an extensive background on the
forefront of scientific and technological breakthroughs around disruptive
technologies and their impacts on society.
He was an early proponent in the development and promotion of Big Data
and data analytics using High Performance Computers, and was a major
contributor in creating the Internet in Canada, among other accomplishments.
Peter has a
background as a scientist, business manager, entrepreneur, domestic and
international bureaucrat, executive, diplomat, management advisor, and
academic; including most recently affiliation with both Telfer School of
Management and the Faculty of Engineering at the University of Ottawa and the
Faculty of Engineering at Carleton University.
Peter also blogs on AI for the Institute on Science, Society and Policy,
an interfaculty organisation at uOttawa.
is free, but space is limited. All
participants must register in advance.
follow the link to register
more information, please contact: Kexing Liu firstname.lastname@example.org
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.