Arduinos, 3D printing, Lego Mindstorms and displays, submarine
robots, and AI, where can you find all this? All of this and MUCH MORE will be at the IEEE Ottawa Robotics
Competition (ORC), Ottawa’s largest robotics competition for grade 5 to 12
students. The ORC is taking place on Sunday,
June 2nd at Earl of March
Secondary School. Best times to show up are between 10:30 am to 12:30 pm and 1:30 pm to 4 pm. The ORC is completely
open to the public, so invite your friends and family too!
Check out previous competitions at https://youtube.com/user/ieeeorc/videos.
If you have any questions, please feel free to email us at email@example.com.
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
Deep Learning for Medical Image Analysis
Wednesday, June 26, 2019
359 Terry Fox Drive, Suite 200, Kanata, Ontario
11:30 – 13:30
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.
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
is free, but space is limited. All
participants must register in advance.
follow the link to register
For more information, please contact: Kexing Liu firstname.lastname@example.org
The Ottawa Section of the Institute of Electrical and Electronics Engineers (IEEE) and the Canada Aviation and Space Museum cordially invite you to:
The dedication of the IEEE engineering milestone “First Search and Rescue Using Satellite Technology, 1982”
Join us at the museum for this special event, where we will also celebrate space-related technical achievements as part of the commemoration of the fiftieth anniversary of humans landing on the Moon.
The keynote speaker at the dedication ceremony is renowned Canadian astronaut, Dr. Robert Thirsk. Special guests include IEEE President, Dr. José Moura, and IEEE Canada President, Dr. Maike Luiken.
A dedication and unveiling ceremony for two plaques (English and French), recognizing the historical significance of this satellite technology application.
Monday, September 9, 2019 at 2 p.m.
The grounds of the Canada Aviation and Space Museum, 11 Aviation Parkway, Ottawa, ON.
2 p.m. – 2:45 p.m.:
- Opening remarks and welcome by IEEE Ottawa Section Chair, Dr. Winnie Ye, and IEEE History Committee Chair, Dr. Branislav Djokic
- Welcome address by the Director General of the Canada Aviation and Space Museum, Mr. Chris Kitzan
- Historical perspective on this IEEE milestone by Dr. Michael A. Stott
- Welcome address by IEEE Canada President, Dr. Maike Luiken, and IEEE President, Dr. José Moura
- Keynote speech by Dr. Robert Thirsk
- Unveiling of the plaques by Dr. Robert Thirsk
- Closing remarks by IEEE Ottawa Section Vice-Chair, Mr. Ajit Pardasani
2:45 p.m. – 3:30 p.m.:
- Light refreshments and networking
Ajit Pardasani at Ajit.Pardasani@ieee.org by September 3, 2019.
IEEE Ottawa Seminar Series on AI and Machine Learning: AI-Driven 5G Networks & Beyond
By Hatem Abou-Zeid, Ericsson Canada
IEEE Ottawa Seminar Series on AI and Machine Learning
Presented by IEEE Ottawa CS Chapter, ComSoc Chapter, and SP Chapter, jointly with Vitesse- Reskilling
Wednesday, Oct 30, 2019
359 Terry Fox Drive, Kanata, Ontario
11:30 AM – 12:00 PM: Light Lunch and Networking
12:00 PM – 1:00 PM : Presentation and Q&A
1:00 PM – 1:30 PM : Post Presentation Networking
Title: 5G for Smart Everything: From Smart Meters to the New Power Grid. What is needed to get there ?
Speaker: Akshay Sharma, Executive Research Fellow, neXtCurve: www.next-curve.com
Date/Time: Tuesday, November 12, 2019, from 2 – 3 pm.
Abstract: This talk discusses how 5G with Edge Computing, and Ultra-low latency (sub-5ms) with Gigabit speed bandwidth will be a game changer with Smart Meters and a new Electric Grid can be enabled with Smart Lamposts. As we transition to DevOps, AIOps, newer Closed Loop Automation systems will occur. As we connect AI-powered Virtual Personal Assistants to IoT devices in the home, now we have to imagine the entire macro-infrastructures being all hyper-connected. What is needed to get there will be discussed at the seminar.
Speaker’s Bio: Akshay Sharma is originally from Ottawa, B. Eng Computer Systems Engineering from Carleton, a tech analyst, formerly from Gartner, having authored or co-authored over 280 research notes, on emerging technologies like SD-WAN, 5G, mobile video, cloud CDN, IoT, etc. in the past decade. A frequent speaker at tech events, he is often quoted in leading institutions like CNN, Wall St. Journal, etc. He is a former CTO of one of the first video/WiFi smartphone firms, former Chief Architect at Siemens Mobile, and has been given awards by the NJ IEEE Chapter on talks he gave on 5G and Cybersecurity. He is on the tech advisory board for 5G and DevOps startups: LB-N, Kovair, along with others. Mr Sharma’s recent publications include: Search Results for “akshay” – neXt Curve