Events
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 |
The inaugural OSDforum will take place in Ottawa this September 18. It is of interest to System architects, software designers, hardware designers and researchers from government, industry and academia.
RISC-V is the 5th generation of the Reduced Instruction Set Computer (RISC-V) Instruction-Set Architecture (ISA), the OpenHW Group is a not-for-profit global organisation aiming to boost the adoption of open-source processors by providing a platform for collaboration, creating a focal point for ecosystem development, and offering open-source IP for processor cores.
Don’t miss out the opportunity to join this exciting new development platform and get your own RISC-V development board to keep. All this while learning from leading industry and academic experts focused on IoT, Edge and Machine Learning development that leverage open source SW and HW.
Space is limited and we have all indications that the event will sell out. Register today.
Digital Marketing — Tools and Methodologies
Joint presentation IEEE Ottawa Section Consultants Network and IET Ottawa LN
Not your Grandmother’s Marketing – The impact of SaaS and AI
 Since Google’s arrival on the scene in the late 1990’s,
marketing took a turn to digital, never to look back again. With the proliferation of technologies such
as Artificial Intelligence, and novel business models like
Software-as-a-Service (SaaS), marketing tools and techniques continue to
rapidly evolve. Our eyes glued to
screens of devices of all sizes, we are at the same time a willing victim and a
reluctant participant in the marketing dance in both our professional and
personal lives. These combined bring a
huge democratization of marketing for businesses, allowing for successful
growth in the most unlikely locations.
Speaker:Â Dobrila Rancic Moogk
Dobrila is VP Marketing at Giatec Scientific, an IoT company
revolutionizing concrete testing.
Through her work in and with start-ups on strategic marketing, Dobrila’s
passion for accelerating commercialization of innovation results in significant
growth and scale-up. This is combined
with her drive to lead her university students to stellar career starts by
passing on her cutting-edge SaaS marketing skills to the next generation of
business leaders.
 Over her 25 years’
experience in the high-tech industry spanning North America
and Europe, she held marketing and R&D leadership
positions with dynamic corporations such as Bell-Northern Research, LSI
Logic, and MOSAID, among others. Dobrila
has a BSEE, as well as Master of Engineering, and MBA degrees from University
of Ottawa.
 She is a member of
the Board of Directors of Invest Ottawa and Bayview Yards, the Community Impact
Cabinet at United Way East Ontario,
past chair of Volunteer Ottawa, and past vice-chair of the Women in Engineering
and Computer Science at University of
Ottawa.
Venue: Online
Registration: https://www.eventbrite.ca/e/a-brief-introduction-to-ieeextreme-and-wie-hack613-tickets-119203981317
Event Contact Name Ragunath Anbarasu
Event Contact Email: https://wie.ieeeottawa.ca/contact-us/
IEEEXtreme is a worldwide Annual Hackathon, in which teams of IEEE student members participate against each other in a span of 24 hours to solve a set of programming problems. This year IEEEXtreme 14.0 is being held on October 24th. Ragunath Anbarasu, the web master and an active volunteer of IEEE WIE Ottawa has been selected as the Ambassador and Section Lead for the Ottawa region. In this session, he will walk through the IEEEXtreme competition and WIE HACK613, a mock hackathon IEEE WIE Ottawa is organizing as a practice for IEEEXtreme. Register Now! And learn more about the event!
Bio: Ragunath Anbarasu is currently doing his Masters in Electrical and Computer Engineering with Specialization in Data Science at Carleton University. He as been the Web Master of IEEE WIE Ottawa for almost a year and is extremely active in volunteering activities related to IEEE. He has been coordinating with the organizers in hosting this years IEEEXtreme Programming Competition in their respective student branches and supporting Non-IEEE Student Branch Members to get exposure to the Hackathon. He will be extending his help to students looking for support and guidance with information related to IEEEXtreme and connect them to a professional member.