Events

May
15
Wed
Managing the development of AI and Machines that learn @ Room 4359, Mackenzie Building
May 15 @ 18:00 – 19:30
Managing the development of AI and Machines that learn @ Room 4359, Mackenzie Building | Ottawa | Ontario | Canada

A talk on AI (Artificial Intelligence) titled “Managing the development of AI and Machines that learn” presented by the CEO of nuenergy.ai, Niraj Bhargava.

Abstract:

It is widely acknowledged that AI technology will
transform organizations and society around the globe – and with recent
advancements in processing power, data accessibility, and algorithms we
suddenly find ourselves at the beginning of this transformation.
Introducing the Machine Trust Index (MTI), assisting us to boldly
proceed with a responsible, innovative spirit. The goal of the MTI is to
establish an open and versatile framework for measuring and managing
trust in the evolving sphere of AI. The MTI provides measurable
evidence, transparency and accountability of an AI solution, allowing
providers to effectively communicate the value of their solutions as
well as their measurable trustworthiness.

Biography:

Niraj Bhargava is Founder and CEO of NuEnergy.ai,
the developers of the Machine Trust Index™ (MTI) for managing AI
deployments. He is also Chair of the Innovation Committee of the Board
at the Royal Ottawa. Niraj was President and CEO of Enerstat
Limited, and led it through its turnaround and acquisition, Founding CEO
of QCED Inc., a faculty member in Entrepreneurship at Queen’s
University, a Director of the Queen’s Executive MBA, and then Dean of
the Business School at Royal Roads University. Niraj practiced
engineering at Bell-Northern Research and global marketing at General
Electric, and was the founding General Manager of GE Energy Management. Niraj was the founding CEO of Fluent.ai in Montreal and Co-Founder, Chairman and Chief Executive Officer of Energate Inc.

 

May
21
Tue
Introduction to IBM Cognos Analytics 11.1! @ 4359 Mackenzie Building
May 21 @ 18:00 – 19:30
Introduction to IBM Cognos Analytics 11.1! @ 4359 Mackenzie Building | Ottawa | Ontario | Canada

Why should you attend?

 

·      Data analytics is a priority for many organizations

·      Many jobs now call for some level of analytic
knowledge

·      Storytelling with data will soon become a “must
have” skill

 

What is Cognos Analytics?

 

“IBM® Cognos® Analytics integrates data preparation,
reporting, modeling, self-service analysis, dashboards, stories, event
management and now automated predictive analytics into one stack. Moreover, the
latest release makes extensive use of AI, including machine learning, natural
language processing (NLP) and natural language generation (NLG), in order to
automate as many features for the end user as possible, in an effort to make
BI, analytics and predictive analysis easy for business users.”

 

About the speaker:

Mohammed Omar Khan is an Offering Manager on the IBM Cognos
Analytics. He works with the development, design, sales, marketing, support and
more teams to make Cognos Analytics a leader in the BI market. He is a Carleton
University Alumni. Some of his achievements include 2nd place in Data Day 5.0
Poster Competition held at Carleton University, IBM VP Award, and IBM Managers
Choice Award
.

 

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

—————————————————————-

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.

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.

—————————————————————-

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

Jul
17
Wed
GNSS Antennas for Autonomous Vehicles: What You Need to Know! @ 4359 Mackenzie Building, Carleton University
Jul 17 @ 18:00 – 19:00

GNSS
Antennas for Autonomous Vehicles:

What You Need to Know!

 

Precise
and reliable positioning recently became a critical property of autonomous
vehicles like drones, driverless cars and more. Tallysman Wireless will explain
why the GNSS antenna is the most important component for accurate positioning
and will present the challenges of selecting the appropriate GNSS antenna for
diverse types of autonomous vehicles. Multiple properties of a GNSS antenna
like its phase center variation, ability to reject interferences or multipath
and sensibility to its environment will be analysed and guide lines will be
proposed.

 

Refreshments will be served!

Location: 4359 Mackenzie Building, Carleton University.

Map: https://carleton.ca/campus/map/

Time: 6:00 – 7:00 PM

Date: July 17th , 2019

 

BIOGRAPHY:

Julien
Hautcoeur received the M.Sc. degree in radio communication systems and
electronics from the Ecole Polytechnique of the University of Nantes, Nantes,
France, in 2007 and the Ph.D. degree in signal processing and
telecommunications from the Institute of Electronics and Telecommunications of
Rennes 1, Rennes, France, in 2011. In 2011, he was involved in postdoctoral
training at the University of Quebec in Outaouais (UQO), Gatineau, QC, Canada.
His research field was optically transparent antenna systems for telecommunications.
Since 2014 he works at Tallysman Wireless in Ottawa, Canada and specialized in
the design of high performance GNSS antennas and associated electronics.

 

GPSPlacement
Aug
19
Mon
Recent Advances in Retinal Imaging! @ Room 4359, Mackenzie Building
Aug 19 @ 18:00 – 19:30
Recent Advances in Retinal Imaging! @ Room 4359, Mackenzie Building | Ottawa | Ontario | Canada

ABSTRACT:

Over 250 million people in the world are blind or visually impaired. But 75% of visual impairment can be treated or entirely prevented if detected early, monitored effectively, and treated promptly. Various retinal imaging instruments have been developed to assist the screening, diagnosing and monitoring of vision critical eye diseases. These instruments range from traditional ophthalmoscope to digital fundus camera; from ocular tomography (OCT) to laser scanning ophthalmoscope. In this presentation the speaker will attempt to explain the principle of retinal imaging; give an overview on the advances in retinal imaging; and discuss the opportunities for innovation in vision care and retinal imaging.

SPEAKER:

Dr Kexing Liu is the president and CEO of OcuXcel Corporation, a technology company based in Kanata, Ontario, dedicated to providing advanced technology solutions and developing new products from a global tech workforce for ophthalmology and vision health. Kexing received his Ph.D. degree from University of Manchester (UMIST), UK. One of his first professional and technology contribution was in pioneering the integration and qualification of GPS navigation technology into the on-board flight management systems for civil aviation as a project leader at CMC Electronique, Montreal. Later he joined a start-up called Cambrian Systems Corporation, Kanata, He was one of the the principal architects for the world’s first metro DWDM system product – OPTera (OM5K) at Cambrian. The company was later acquired by Nortel Networks. The OM5K as an extremely profitable line of product has generated over US$3 billion revenue for Nortel (now Ciena) since the acquisition. Later on, Kexing had an opportunity to serve as the principal of Mira Connections, a consulting business helping medical device companies on systems engineering and management issues. Most recently Kexing has architected multispectral digital ophthalmoscope for retinal health screening. Kexing has published more than 30 scientific papers on fiber optics and photonics. He is inventor/co-inventor for 17 granted patents ranging from photonics, optical communications systems, control systems engineering, and ophthalmology instruments. Kexing is a senior member of IEEE and is currently serving as the chair of an IEEE Canada committee responsible for outreach.

This event is organized by IEEE WIE and sponsored by IEEE Photonics Society – Ottawa Section!!

Kexing

 

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