Events

Jun
26
Wed
IEEE Ottawa Seminar Series on AI and Machine Learning – Application of Deep Learning for Medical Image Analysis
Jun 26 @ 11:30 – 13:30

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.   

Please
follow the link to register

https://ieeeottawaaiml2019jun26.eventbrite.ca

—————————————————————-

For more information, please contact: Kexing Liu kexing.liu@ieee.org

Sep
9
Mon
The dedication of the IEEE engineering milestone “First Search and Rescue Using Satellite Technology, 1982” @ Canada Aviation and Space Museum
Sep 9 @ 14:00 – 15:30

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.

WHO:
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.

WHAT:
A dedication and unveiling ceremony for two plaques (English and French), recognizing the historical significance of this satellite technology application.

WHEN:
Monday, September 9, 2019 at 2 p.m.

WHERE:
The grounds of the Canada Aviation and Space Museum, 11 Aviation Parkway, Ottawa, ON.

AGENDA:

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

RSVP:

Ajit Pardasani at Ajit.Pardasani@ieee.org by September 3, 2019.

 

Invitation-Dedication-ceremony.FINAL_

Oct
30
Wed
IEEE Ottawa Seminar Series on AI and Machine Learning @ Vitesse - Reskilling
Oct 30 @ 11:30 – 13:30

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

Date

Wednesday, Oct 30, 2019

Location

359 Terry Fox Drive, Kanata, Ontario

Agenda

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

Nov
21
Thu
Call for Volunteers at the Canadian Space Summit 2019 @ Brookstreet Hotel
Nov 21 @ 08:00 – 17:00
Call for Volunteers at the Canadian Space Summit 2019 @ Brookstreet Hotel | Ottawa | Ontario | Canada

The Canadian Space Society’s annual Space Summit is Canada’s leading conference devoted to space science, research and technology. With an annual attendance that is continually growing, the Summit brings together space professionals from industry, academia, government and enthusiasts from all walks of life. The Canadian Space Summit is THE place to learn about the latest trends, technologies and political issues taking place in the space industry. With sessions on everything from astronomy,satellites, medicine and law and policy, the Canadian Space Summit touches upon every facet affecting Canada’s space industry!

 

This year’s theme: From LEO to Lunar.

 

Volunteers will be needed. An excellent opportunity for graduate students pursuing space technology. Contact Wolfram Lunscher LSM-IEEE.

Mar
19
Thu
[CANCELLED] Seminar: Drone-assisted Mobile Edge Computing
Mar 19 @ 18:00 – 19:30

NOTE: This event as been cancelled due to COVID-19 precautions

Seminar presented by the IEEE Ottawa Section, Communications Society, Consumer Electronics Society, and
Broadcast Technology Society Joint Chapter (ComSoc/CESoc/BTS), Instrumentation & Measurement
Society Chapter (IMS), Reliability Society and Power Electronics Society Joint Chapter (RS/PELS), IEEE
Ottawa Educational Activities (EA) and Algonquin College IEEE Student Branch:

 

IEEE Ottawa Section is inviting all interested IEEE members and nonmembers to a distinguished Lecture:
Drone-assisted Mobile Edge Computing

By

Nirwan Ansari, Distinguished Professor of Electrical and Computer Engineering at

the New Jersey Institute of Technology (NJIT)

 

DATE:

Thursday, March 19, 2020.

 

TIME:

Refreshments, Registration and Networking: 6:00 p.m.; Seminar: 6:30 p.m. – 7:30 p.m.

PLACE:

Ciena Optophotonics Lab, Room T129, T-Building, School of Advanced Technology, Algonquin College,

1385 Woodroffe Ave., Ottawa, ON Canada K2G 1V8.

 

PARKING:

Parking at Lots 8 and 9 after 5 p.m. is $5 flat rate, pay at a machine and display the ticket on your dashboard. Please respect restricted areas.

 

ADMISSION:

Free. Registration required. To ensure a seat, please register by e-mail contacting: Wahab Almuhtadi.

 

MORE INFO:

Ottawa ComSoc/CESoc/BTS Chapter website.

 

Abstract:

In mobile access networks, different types of Internet of Things (IoT) devices (e.g., sensor nodes and smartphones) will generate vast traffic demands, thus dramatically increasing the traffic loads of their connected access nodes, especially in the 5G era. Mobile edge computing enables data collected by IoT devices to be stored in and processed by local fog nodes as well as allows IoT users to access IoT applications via these nodes at the same time. In this case, the communications latency critically affects the response time of IoT user requests. Owing to the dynamic distribution of IoT users, drone base station (DBS), which can be flexibly deployed over hotspot areas, can potentially improve the wireless latency of IoT users by mitigating the heavy traffic loads of macro BSs. Drone-based communications poses two major challenges: 1) DBS should be deployed in suitable areas with heavy traffic demands to serve more users; 2) traffic loads in the network should be allocated among macro BSs and DBSs to avoid instigating traffic congestions. Therefore, we propose a TrAffic Load balancing (TALL) scheme in such drone-assisted fog network to minimize the wireless latency of IoT users. In the scheme, we divide the problem into two sub-problems and design two algorithms to optimize the DBS placement and user association, respectively. Extensive simulations have been set up to validate the performance of TALL.

 

Speaker Bio:

Dr. Nirwan Ansari, Distinguished Professor of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT), received his Ph.D. from Purdue University, MSEE from the University of Michigan, and BSEE (summa cum laude with a perfect GPA) from NJIT. He is a Fellow of IEEE and a Fellow of National Academy of Inventors.

He authored Green Mobile Networks: A Networking Perspective (Wiley-IEEE, 2017) with T. Han, and coauthored two other books. He has also (co-)authored more than 600 technical publications. He has guest-edited a number of special issues covering various emerging topics in communications and networking. He has served on the editorial/advisory board of over ten journals including as Associate Editor-in-Chief of IEEE Wireless Communications Magazine. His current research focuses on green communications and networking, cloud computing, droneassisted networking, and various aspects of broadband networks. He was elected to serve in the IEEE Communications Society (ComSoc) Board of Governors as a member-at-large, has chaired some ComSoc technical and steering committees, is current Director of ComSoc Educational Services Board, has been serving in many committees such as the IEEE Fellow Committee, and has been actively organizing numerous IEEE International Conferences/Symposia/Workshops. He is frequently invited to deliver keynote addresses, distinguished lectures, tutorials, and invited talks. Some of his recognitions include several excellence in teaching awards, a few best paper awards, the NCE Excellence in Research Award, several ComSoc TC technical recognition awards, the NJ Inventors Hall of Fame Inventor of the Year Award, the Thomas Alva Edison Patent Award, Purdue University Outstanding Electrical and Computer Engineering Award, the NCE 100 Medal, and designation as a COMSOC Distinguished Lecturer. He has also been granted more than 40 U.S. patents.

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