Events

Mar
5
Fri
Clarifying the path to becoming a Professional Engineer @ Online
Mar 5 @ 16:00 – 17:00

If you are an engineering undergraduate or post-graduate student, or a recent graduate starting out your engineering career, then this seminar might be for you. In it you will learn:

  • What is PEO?
  • What engineering experience is PEO looking for once I graduate?
  • I have international engineering education and experience; how is that evaluated by PEO?
  • How is my engineering experience evaluated by PEO?
  • How do I prepare my Experience Record?
  • What is the PPE?
  • What is the EIT Program and the Student Membership Program?

Emphasis of this webinar will be on the P. Eng. licensure process – what PEO is looking for. The webinar will focus on how engineering experience is evaluated and how you can facilitate the process. Learn the dos and don’ts of preparing your licensing application for evaluation.

To participate, you will require: internet connection to view the webinar, and/or phone access to dial into the conference for audio.

We look forward to speaking with you!

This event ir organized by IEEE Ottawa YPAG in partnership with IEEE Ottawa WIE, IEEE Montreal YPAG and Professional Engineers Ontario.

Mar
6
Sat
Professional Development Series: Resume Building and LinkedIn Profile Management Workshop @ Online
Mar 6 @ 17:00 – Mar 7 @ 18:00

Abstract:

With the onset of the pandemic from early March 2020, nearly everything from shopping groceries to job recruitment is being virtualized. It completely changed the landscape for graduating students to get a job. Not just students even organizations are finding it difficult to recruit the perfect candidate for the position. Are you a recent graduate student looking for a job? Are you in your final term of school and wondering how to get your dream job?

IEEE WIE Ottawa along with IEEE YP Ottawa brings to you Professional Development Series! Join us in a 2-day workshop to get your doubts cleared about Resume building, Creating a LinkedIn profile, and how to apply for jobs online from a professional.

Speaker Biography:

Sherin Nilam is an experienced Career Counselor, helping international students with their career journey by offering Resume editing strategies, Cover letter writing, Interview preparation, LinkedIn profile management, and other career-related advice. Her career tactics have been effective for many students to successfully land their dream jobs in Canada.

Apr
8
Thu
Webinar: Connecting Distributed Energy Resources (DERs) into the Distribution and Sub-Transmission Electrical System
Apr 8 @ 18:30 – 20:00

Date: Thursday, April 08, 2021.
Time: Webinar: 6:30 p.m. – 8:00 p.m.
Place: Online. Free registration required at https://events.vtools.ieee.org/m/264248

Abstract
High penetration of Distributed Energy Resources (DERs) into the Electrical Power Grid is one of the hottest topics in the Power Industry. The seminar will discuss the following topics: Definitions, Overview of the Electrical Power System, Status of the current development of DERs around the world, Impacts of DER Penetration into the Electrical Grid, Modeling, Technical Requirements, and Applications.



Speaker’s Bio
Hugo Sanchez-Reategui has been a consultant with Alectra Utilities Corporation (Ontario) for
the past 10 years confirming technical requirements to connect Distributed Generation projects into
the Distribution and Sub Transmission System, working with multiple internal stakeholders,
developers, government agencies, other LDCs (Local Distribution Companies), etc. He is a
registered Professional Engineer in the Province of Ontario. 

Apr
21
Wed
Storms in the World of Safety-Critical Software Development @ Online
Apr 21 @ 19:00 – 21:00

This is a joint event from the IEEE Ottawa Section Consultants Network (AICN) and IET Ottawa. The even is open to all and there is no charge to attend. Pre-registration is mandatory as spaces are limited.

 

Synopsis: We are becoming increasingly reliant on the software embedded in safety-critical medical devices, industrial robots, railway signalling systems, (semi-)autonomous cars, aircraft control systems and soft-drink dispensers (sic!). Producing and verifying these systems is a specialised form of software development and this type of development is currently facing rapidly-changing challenges. In this talk, Chris will outline some of these challenges, including the Safety of the Intended Functionality, the relationship between security and safety, and our exposure to intellectual debt. Although these problems are a long way from being solved, Chris will describe one approach that may become our place of refuge from the storm.

 

Speaker: Chris Hobbs

Software Safety Specialist – Blackberry QNX

Chris Hobbs works for BlackBerry QNX as a programmer and system designer, specializing in the area of Safety-Critical development. His work includes both helping in the safety certification of QNX’s products and working as a consultant with QNX’s customers, helping them develop safe systems. He has over 50 years of programming experience, most recently in C, Python and Ada, and he is the author of several books including Embedded Software Development for Safety-Critical Systems (second edition). In his spare time Chris sings Schubert Lieder and is a keen pilot.

May
14
Fri
AI to Enable Digital Medicine and Detect COVID-19 @ Online
May 14 @ 11:00 – 12:00

Abstract  

Digitalize human beings using biosensors to track our complex physiologic system, process the large amount of data generated with artificial intelligence (AI) and change clinical practice towards individualized medicine: these are the goals of digital medicine. In this talk, we discuss how to design AI solutions in the clinical space and what are the key aspects to make a difference. We focus on two critical clinical topics that need AI: 1) atrial fibrillation (AF), and 2) viral illnesses (COVID-19). AF is the most common sustained cardiac arrhythmia, associated with stroke, heart failure and coronary artery disease. AF detection from single-lead electrocardiography (ECG) recordings is still an open problem, as AF events may be episodic and the signal noisy. We conduct a thoughtful analysis of recent convolutional neural network architectures developed in the computer vision field, redesigned to be suitable for a one-dimensional signal, and we evaluate their performance in the detection of AF using 200 thousand seconds of ECG, highlighting the potential and pitfall of this technology. We also discuss how to explain (global and local post hoc explanations) this AI model for AF detection using features that are commonly used by a cardiologist.

To tackle the problem of COVID-19, we start with an overview of continuous, passively monitored vital signs from 200,000 individuals wearing a Fitbit wearable device for 2 years. This large study provides the baseline for DETECT, our app-based, nationwide clinical study enrolling individuals who routinely use a smartwatch or other wireless devices to determine if individualized tracking of changes in heart rate, activity and sleep can provide early diagnosis and self-monitoring for COVID-19. We analyze data from more than 36,000 individuals, showing how we can discriminate (on an individual level) between COVID-19 and other types of infections. We discuss how this can impact both the individual and public health, and how the use of AI can be a game changer in this fight against the virus.

 

Speaker’s Bio

Giorgio Quer is the Director of Artificial Intelligence at the Scripps Research Translational Institute, where he is leading the Data Science and Analytics team within the All of Us Research Program’s Participant Center (NIH).

His research focuses on artificial intelligence and probabilistic modeling applied to heterogeneous data signals, in order to extract key information and make predictions on future occurrences based on past data. He is involved in several digital medicine initiatives within the Scripps Research Digital Trials Center. For the DETECT study, he is developing algorithms to predict COVID-19 and other viral infections from wearable sensor data. He is responsible for collaborations with several industry partners, studying changes in heart rate and sleep data monitored by commercial wearable devices. He is also interested in the detection and modeling of atrial fibrillation from single-lead ECG signals. He is leading the collaboration with the Halicioglu Data Science Institute at UC San Diego towards the development of new AI models for health data.

He received his Ph.D. degree in Information Engineering from the University of Padova, Italy, and he continued his studies as a Postdoctoral researcher with the Qualcomm Institute at the University of California San Diego. He is a Senior Member of the IEEE and a Distinguished Lecturer for the IEEE Communications society.

Contact: Wahab Almutadi @ Almuhtadi@ieee.org or Eman Hammad @ eman.hammad.ca@ieee.org

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