Events

May
21
Tue
Introduction to IBM Cognos Analytics 11.1! @ 4359 Mackenzie Building
May 21 @ 18:00 – 19:30
Introduction to IBM Cognos Analytics 11.1! @ 4359 Mackenzie Building | Ottawa | Ontario | Canada

Why should you attend?

 

·      Data analytics is a priority for many organizations

·      Many jobs now call for some level of analytic
knowledge

·      Storytelling with data will soon become a “must
have” skill

 

What is Cognos Analytics?

 

“IBM® Cognos® Analytics integrates data preparation,
reporting, modeling, self-service analysis, dashboards, stories, event
management and now automated predictive analytics into one stack. Moreover, the
latest release makes extensive use of AI, including machine learning, natural
language processing (NLP) and natural language generation (NLG), in order to
automate as many features for the end user as possible, in an effort to make
BI, analytics and predictive analysis easy for business users.”

 

About the speaker:

Mohammed Omar Khan is an Offering Manager on the IBM Cognos
Analytics. He works with the development, design, sales, marketing, support and
more teams to make Cognos Analytics a leader in the BI market. He is a Carleton
University Alumni. Some of his achievements include 2nd place in Data Day 5.0
Poster Competition held at Carleton University, IBM VP Award, and IBM Managers
Choice Award
.

 

Jun
20
Thu
Ottawa IEEE Lunch and Learn on state of the Canadian Internet @ CENGN (Center for Next Generation Networks)
Jun 20 @ 11:30 – 13:00

Status of the Internet in Canada and the importance of Canadian IXP’s

Jacques Latour

Chief Technology Officer, CIRA/.CA

A quick overview of the Canadian Internet exchange landscape from coast to coast to coast. Canada has its share of challenges and opportunities in building and growing the IXP infrastructure near the Canadian border, and also to support the need of the rural communities.

As an expert in developing innovative, leading-edge IT solutions, Jacques has established CIRA as a global leader among ccTLD registries. He has 25+ years of experience in the private and not-for-profit sectors and as CIRA’s CTO,is currently leading CIRA Labs, CIRA’s innovation hub and providing leadership and direction for the management and security of the .CA registry and its underlying DNS.

A visionary in the Internet community, Jacques led the development of CIRA’s Internet Performance Test, is an outspoken advocate for the adoption of IPv6 and represents the .CA registry internationally as a member of a variety of working groups and advisory groups, including being a member of ICANN’s Security and Stability Advisory Committee (SSAC), TLDOPS standing committees and TechDay and DNSSEC Planning Program Committee.

Jacques is committed to the development of a new Canadian Internet architecture. He has served as the catalyst for the creation of a national Canadian IXP association, CA-IX, and is a member of the Manitoba Internet Exchange’s (MBIX) and the DNS-OARC Board of Directors.

Jacques holds an Electronics Engineering Technologist diploma from Algonquin College in Ottawa, is ITIL v3 Foundation certified and is a certified Agile ScrumMaster.

Agenda

11:30 – 12:00  Lite Lunch, Networking, and Welcoming Remarks
12:00 – 13:00  Seminar

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

 

Jul
17
Wed
An Evening with Power Integrity Experts @ Fidus Systems, Ottawa
Jul 17 @ 17:00 – 19:30

Speaker 1: Hisham Abed, P.Eng., Ericsson

Topic: Power Integrity – Best design practices

Speaker 2: Dr. Ihsan Erdin, Celestica

Topic: Power Integrity Optimization amidst MLCC shortage

Parking: Free

Registration:  Free, and is on a first to reply basis. Preference given to IEEE EMC and CPMT society members. Seating is limited. E-mail reservation is required.

Pizza and soft drinks will be served.

Organizer: Dr. Syed Bokhari, Chairman, IEEE Ottawa
EMC chapter

Syed.Bokhari@fidus.com,

Office :(613) 595 – 0507 Ext. 377, Cell: (613) 355 – 6632

 

Directions:    www.fidus.com

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