Events
Innovation enables organizations to open new avenues of product differentiation by customizing products. In today’s rapidly changing business environment, engineers must innovate quickly to incorporate new features while reducing development costs and delivering new products to the market before the competition. Simulation plays a key role in helping engineers drive innovation, enabling complete virtual prototypes of complex systems to be validated across all physics and engineering disciplines.
Join us as we return to Ottawa for our 4th Annual ANSYS Innovation Conference on May 8, 2019! This one-day conference will provide detailed insight into how leading companies are utilizing simulation to advance their product development. We will bring together ANSYS users, partners, developers, and industry experts for networking, learning, and sharing of new ideas.
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What You Will Learn
- Experience new simulation capabilities that provide unprecedented design insight as they speed your time to market
- Incorporate various productivity enhancement tools and techniques into your engineering department’s workflow
- Gain insights into 5G system development with physics-based simulation and cover critical design issues, such as antenna performance, semiconductor reliability, and thermal integrity
- Identify signal integrity issues early in the design cycle for electronics IC packages, PCBs, connectors and other complex interconnects
- Modify antenna design, predict antenna efficiency and the overall thermal and EM performance of the product based on electromagnetic and thermal coupling solutions
The role of Internet and Communication Technology (ICT) in
bringing about a revolution in almost all aspects of human life needs no
introduction. It is indeed a well-known fact that the transmission of
information at a rapid pace has transformed all spheres of human life such as
education, health, and economy to name a few. In addition, with the advent in
Electronics and Photonics Technology (EPT), we have observed sustained growth
and expansion in computation and display technology. From user demography
perspective, urbanized population are the major beneficiary of such advances.
Therefore, the benefits of ICT and EPT are yet to be experienced by almost 4
billion people in the world who are still “unconnected or under-connected†and
suffer as such from the “digital divide,†a term coined in order to emphasize
the lack of ICT infrastructure in many parts of the world.
Major challenges for widespread adoption of ICT and EPT in
these areas are related to cost, lack of power supply, and complexities
associated with learning and usage. However, if we can categorically overcome
these challenges, then these technologies can be used for food, water, shelter,
energy, environment, education, healthcare, and security. In addition, the
wide-spread availability of these technologies, will lead to smart suburbs,
smart towns, smart villages, etc., without the need to necessarily live in
smart cities. This would reverse the trend and allow a more sustainable world
with a more balanced distribution of the population density. In this context,
this talk will present recently proposed solutions to provide high speed
connectivity in rural areas along progress in affordable electronics to serve
and contribute to the development of far-flung regions.
In particular, new solutions for both: (i) integrated
satellite-airborne-ground networks providing global coverage and connectivity
and (ii) terrestrial mesh/multi-hop directive networks connecting underserved
areas will be discussed.
Moreover, some examples of democratized wearable
electronics using Do-It-Yourself (DIY) assembly of paper along Android DIY
applications capturing and displaying vital health signs over connected
smartphones for real-time diagnosis will be presented.
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 | ||
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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 |
Young Professionals Reception
During the 7th Annual IEEE International Conference on Wireless for Space and Extreme Environments (WISEEÂ 2019)
Wednesday, October 16th from 6:00 PM – 8:00 PM
Sidedoor Restaurant
18b York St, Ottawa, ON K1N 5T5
IEEE Ottawa Young Professionals (YPs) and IEEE WiSEE’2019 Organizing Committee invite all YPs in Ottawa and those attending the 2019 IEEE WiSEE Conference to join the Young Professionals Reception on Wednesday, October 16th, 2019 from 6:00 – 8:00 PM taking place at Sidedoor restaurant at 18b York St, Ottawa, K1N 5T5. Come ready to meet WiSEE Keynote Speakers, Industry intellects, and other Young Professionals, and learn about the different opportunities available through the IEEE and the Young Professionals Program.
The IEEE Young Professionals Program is aimed at supporting IEEE members at an early stage in their career, up to 15 years after their first degree, by helping them evaluate their career goals, polish their professional image, and create building blocks of a lifelong and diverse professional network.
IEEE_WiSEE_YP_Reception_Poster