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IEEE Ottawa Section March 2018 Newsletter
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March 2018 Newsletter

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IoT613 Conference 2018

April 18-20 at the Canadian Museum of History

IoT613 is offering IEEE Ottawa Section members savings on tickets to the
IoT613 Conference 2018   on April 18-20.  A block of 30 tickets at 20% discount is available until March 15, 2018Register now and use discount code “IEEE20”

The
IoT613 Conference 2018  is Ottawa’s premier Internet of Things conference giving you the opportunity to learn the latest applications, technology, and impacts of IoT, and to interact and connect with other IoT players. We have assembled a great three-day program with interactive skill-gaining workshops and great keynotes, speaker sessions and panels themed around two important and timely IoT verticals – Connected Transportation and Wearables.

Venue:  Museum of History, Gatineau, Quebec
April 18:  Workshops Day

·        
Stream 1: Technical Development
       
Stream 2: Business of IoT

April 19:  Connected Transportation Day
      
Speaker series on Connected Transportation   
Panel on Social Impact of IoT
613 SHOWCASE
Networking Social

April 20:  Wearables Day
Speaker series on Wearables
613 SHOWCASE

Links:
Website:         
http://www.iot613.ca/2018-conference
Registration:    https://iot613.ca/2018-conference/tickets
Schedule:         http://www.iot613.ca/2018-conference/schedule
Twitter:            @iot613


Join us to
learn, interact and connect with IoT and IoT players. For more info, contact

things@iot613.ca
Wahab Almuhtadi has been elected as the President-Elect (2018)/President (2019-2020) of The IEEE Consumer Electronics Society (CESoc)

Congratulations to Dr. Wahab Almuhtadi, P.Eng., SMIEEE, EIC Fellow on being elected on
January 11, 2018 as the President-Elect (2018) / President (2019-2020) of IEEE Consumer
Electronics Society (CESoc). View the
Breaking News (Jan. 11-18, Las Vegas, NV): Interview
with Dr. Almuhtadi on IEEE CESoc election.

Dr. Almuhtadi is currently also, serving as the Vice President, Education, IEEE Consumer
Electronics Society (CESoc), Director of IEEE ComSoc North America Region (2018 - 2019),
Chair of Communications and Publications Group - IEEE Canada, Director, IEEE Canadian
Foundation (ICF) - Region 7, and the Chair, IEEE ComSoc/CESoc/BTS Ottawa Joint Chapter.

Dr. Almuhtadi is a professor at Algonquin College and Coordinator of Bachelor of
Information Technology – Photonics and Laser Technology Program (Algonquin College -
Carleton University joint program). Dr. Almuhtadi is also involved in many applied
research projects at Algonquin College.

Employment Opportunity: Machine Learning for Aerospace Technology  

A research associate, postdoctoral or Ph.D. position is available, full- or part-time. The position will remain open till it is filled.
 
The position is expected to have a duration of one to one-and-a-half years. Longer term opportunities may be possible depending on the candidate’s career goals and interests.
 
The candidate will work with a supervising professor, engineers, and research associates, on an industry-academic collaboration that involves the development of a sophisticated flight controller for an unmanned aerial vehicle (UAV). The candidate will also work in conjunction with the industrial partner’s electronics, software, and mechanical engineering personnel as needed. The company is a small organization located in Ottawa, ON, where it has a lab and office space, and near Odessa, ON at a private aerodrome where it flies some aircraft for R&D purposes. 

The main focus of the position will be to process, analyze, and prepare data collected during test flights by the company’s complex suite of sensors. These data describe flight behavior and are then used by other team members to develop an intelligent controller. The candidate may have some input in this process as well. In addition, he or she may be asked to assist with the development or debugging of some electronics related to the aircraft monitoring and control systems.

Candidates should possess a degree in a relevant engineering discipline such as electronics or electrical engineering. Computing science, mathematics, or mechanical engineering might also be acceptable depending on the candidate. Knowledge of mechatronics/robotics and experience with sensor hardware, controllers, and data would be valuable. Working knowledge of hardware, such as Raspberry Pi and Arduino; and software, such as MATLAB and C++, would be an asset.

Priority will be given to Canadians and permanent residents. Applicants with work visa will also be considered

Please submit your CV and cover letter by email to the contact below. The subject line should be “Application for the Position on Machine Learning and Aerospace Technology”. Interviews will be conducted shortly after.
Contact: Prof. Wael Gueaieb wgueaieb@uottawa.ca
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