Events
![Introduction to IBM Cognos Analytics 11.1! @ 4359 Mackenzie Building | Ottawa | Ontario | Canada](https://www.ieeeottawa.ca/wp-content/uploads/2019/05/Screen-Shot-2019-05-03-at-9.10.21-PM-300x212.png)
Why should you attend?
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·     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
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What is Cognos Analytics?
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“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.â€
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.
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.
![FIELDS CENTRE OF QUANTITATIVE MODELLING AND ANALYSIS: WORKSHOP ON Machine Learning in the Presence of Class Imbalance @ Residence Commons, Carleton University | Ottawa | Ontario | Canada](https://www.ieeeottawa.ca/wp-content/uploads/2019/05/PELS-Day-300x209.jpg)
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 |
![Modern Day Applications of Power Electronics – Who Can Benefit?](https://www.ieeeottawa.ca/wp-content/uploads/2019/11/28Nov-2019-300x192.jpg)
Abstract – Application 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.
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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.
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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.
IEEE Women in Engineering is pleased to announce a lunch and learn on “Women’s Impact in the Industry†presented by Eng. Mohammed Ali Rencüz
TITLE: Women’s Impact in the Industry
ABSTRACT:
Life in the software engineering world, some networking theory, and women’s impact in the industry!
Location: 4359 Mackenzie Building, Carleton University.
Map: https://carleton.ca/campus/map/
Time: 12:00-2:00 PM
Date: November 30th, 2019
Lecture Admission is FREE!
Lunch: FREE for IEEE WIE members / $12 others
RSVP is required for Lunch: manarhelal@ieee.org
BIOGRAPHY: Carleton University alumnus with B. Eng. Degree in Computer Systems. He is currently working as a Software Engineer in Cisco Systems.