Events
![4th Annual ANSYS Innovation Conference @ Brook Street Hotel | Ottawa | Ontario | Canada](https://www.ieeeottawa.ca/wp-content/uploads/2019/04/Ottawa-ANSYS-4th-Annual-ANSYS-Innovation-Conference-May-2019-300x251.jpg)
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
![Present Around The World (PATW) Competition @ 1125 Colonel By Dr, Ottawa, ON K1S 5B6 | Ottawa | Ontario | Canada](https://www.ieeeottawa.ca/wp-content/uploads/2019/04/Screen-Shot-2019-04-11-at-4.28.10-PM-300x174.png)
The PATW is a global competition for Young professionals and students within engineering to develop and showcase presentation skills. Membership to the IET is not a requirement to enter, but you must be 18-30 years of age and be prepared to;
Deliver a 10 minute presentation on any engineering or technology related area. Enhance your knowledge, develop your skills, increase your profile, and open doors for your career.
For more details see : https://www.theiet.org/PATW
Contact kyle.manel@ietvolunteer.org for event information and/or for registration.
IEEE Ottawa Seminar Series on AI and Machine Learning
Hosted by IEEE Ottawa PHO Chapter, EMBS Chapter, CS Chapter, and SP Chapter Jointly with Vitesse Reskilling
Application of
Deep Learning for Medical Image Analysis
Fatemeh Zabihollahy
Carleton University
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Wednesday, June 26, 2019
359 Terry Fox Drive, Suite 200, Kanata, Ontario
11:30 – 13:30
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Medical imaging, (e.g., computed tomography (CT), magnetic resonance
imaging (MRI), positron emission tomography (PET), mammography, ultrasound,
X-ray) has advanced at a rapid speed over last decades. Currently, the medical
image interpretation is mostly performed by human experts, which is a tedious
task and subject to high inter-operator variability. Deep learning is providing
exciting solutions for medical image analysis problems. Recent advances in deep
learning have helped to identify, classify, and quantify patterns in medical
images. In this seminar, we introduce the principles and methods of deep
learning concepts, particularly convolutional neural network (CNN). We show how
CNN operates. I will describe several interesting applications of deep learning
for medical image analysis, including my recent works on segmenting myocardial
scar (injured) tissue in the heart, prostate tumor detection, and kidney lesion
localization in 3D MRI and CT images.
Biography
Fatemeh Zabihollahy is currently
a Ph.D. candidate at Carleton University. She obtained her MASc (2016) and BASc
(2001) both in Biomedical Engineering from Carleton University, Canada and
Shahid Beheshti University, Iran, respectively. She worked in the medical
devices industry as an R&D engineer for ten years. Her research interest is
in the field of application of deep learning techniques for medical image
analysis.
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Event
is free, but space is limited. All
participants must register in advance. Â
Please
follow the link to register
https://ieeeottawaaiml2019jun26.eventbrite.ca
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For more information, please contact: Kexing Liu kexing.liu@ieee.org