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

 

Nov
24
Sun
Modern Day Applications of Power Electronics – Who Can Benefit?
Nov 24 @ 00:46 – 01:46
Modern Day Applications of Power Electronics – Who Can Benefit?

AbstractApplication of power electronics is widespread in everyday
life. Some applications are considered as “nice to have it;” in other cases,
they are essential. This presentation discusses a wide variety of daily-used
applications around the world. Also covered is an advanced topic, such as SMART
Controller that today’s grid requires for voltage regulation, power factor
regulation, unbalance voltage/current regulation, harmonic elimination and so
on. A SMART Controller that is based on functional requirements and
cost-effective solutions is derived from utilizing the best features of all the
technical concepts that are developed until now. Final year students of
electrical engineering undergraduate curriculum, post graduate students,
researchers, academicians and utility engineers will benefit from attending
this course. The participants will hear from an expert who actually designed
and commissioned a few utility-grade SMART controllers since their inception in
the 1990s.

 

Speaker’s
Bio

Kalyan Sen, a
Fulbright Scholar, is the Chief Technology Officer of Sen Engineering
Solutions, Inc. (
www.sentransformer.com) that specializes in
developing SMART power flow controllers—a functional requirements-based and
cost-effective solution. He
received
BEE,
MSEE, and PhD degrees, all in Electrical Engineering, from Jadavpur University,
India, Tuskegee University, USA, and Worcester Polytechnic Institute, USA,
respectively. He also received an MBA from Robert Morris University, USA.

 

Dr.
Sen spent more than 30 years in academia and industry and became a Westinghouse
Fellow Engineer. He was a key member of the Flexible Alternating Current
Transmission Systems (FACTS) development team at the Westinghouse Science &
Technology Center in Pittsburgh. He contributed in all aspects (conception,
simulation, design, and commissioning) of FACTS projects at Westinghouse. He
conceived some of the basic concepts in FACTS technology. He has authored or
coauthored more than 25 peer-reviewed publications, 8 issued patents, a book
and 4 book chapters in the areas of FACTS and power electronics. He is the
coauthor of the book titled, Introduction
to FACTS Controllers: Theory, Modeling, and Applications
, IEEE Press and
John Wiley & Sons, Inc. 2009, which is also published in Chinese and Indian
paperback editions. He is the co-inventor of Sen Transformer.

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