IEEE Winnipeg Section

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Archive for the ‘Section Event’ Category

IEEE Winnipeg Section Meeting – November 21, 2017

Friday, November 17th, 2017

The monthly meeting of Section, Chapter, and Affinity Group representatives to discuss issues and the operation of the IEEE Winnipeg Section. This meeting is open to any IEEE members that are interested in becoming more involved.

The minutes from the previous meeting and the proposed agenda for this meeting are attached.

Date: November 21, 2017

Time: 5:30

Location: SPC-305 Stanley Pauley Centre, University of Manitoba Fort Garry Campus

2017_10_17_Minutes

2017_11_21_Agenda

 

IEEE Women in Engineering Networking Event – August 18, 2017

Tuesday, August 15th, 2017

IEEE Women In Engineering (WIE) Winnipeg section would like to invite all students and staffs in the University of Manitoba ECE department, as well as IEEE Winnipeg Section members for a networking event. IEEE WIE is the largest international professional organization dedicated to promoting women engineers and scientists and inspiring girls around the world to follow their academic interests to a career in engineering.

Date: 18 August 2017

Time: 10:30 AM to 11:30 AM

Location: University of Manitoba, E2-350 EITC 

Refreshments: Coffee and Donuts

Registration: Not Required

Join us on Friday for a casual networking event before the new school term.

To view updates, future events, pictures, and videos from WIE Winnipeg section please visit:

facebook.com/WIEWinnipegSection

http://sites.ieee.org/winnipeg-wie/

IEEE Women in Engineering BBQ – July 5, 2017

Wednesday, June 21st, 2017

This year the annual BBQ will be hosted by the WIE group on Wednesday, July 5th. This is a good opportunity to enjoy a summer evening outdoors and meet some new people from the section in a fun and relaxing setting. Food and drinks will be provided (burgers, hotdogs, drinks, etc.). Halal meat and Vegetarian options will be available if you choose the vegetarian when you register. There is a sand volleyball court next to the picnic site for anyone that wishes to play.

When: Wednesday, July 5, 2017, 6pm-9pm

Where: Assiniboine Part, picnic site 4

Registration: Registration is required in advance and is available at: https://events.vtools.ieee.org/m/45802. The registration fee is $5.50 for IEEE members and $10.50 for non-members. Registration includes entry into a draw for a door prize.

For more information please email the event contact.

IEEE Communications Society Seminar – A Probabilistic Theory of Deep Learning – May 18, 2017

Thursday, May 11th, 2017
Event Title: Technical Seminar – A Probabilistic Theory of Deep Learning
Speaker: Dr. Richard Baraniuk
Date: Thursday May 18, 2017
Time: 2:00 pm
Location: Room E3-262 , EITC, University of Manitoba, Fort Garry Campus
Abstract: A grand challenge in machine learning is the development of computational algorithms that match or outperform humans in perceptual inference tasks that are complicated by nuisance variation. For instance, visual object recognition involves the unknown object position, orientation, and scale in object recognition while speech recognition involves the unknown voice pronunciation, pitch, and speed. Recently, a new breed of deep learning algorithms have emerged for high-nuisance inference tasks that routinely yield pattern recognition systems with near- or super-human capabilities. But a fundamental question remains: Why do they work? Intuitions abound, but a coherent framework for understanding, analyzing, and synthesizing deep learning architectures has remained elusive. We answer this question by developing a new probabilistic framework for deep learning based on the Deep Rendering Model: a generative probabilistic model that explicitly captures latent nuisance variation. By relaxing the generative model to a discriminative one, we can recover two of the current leading deep learning systems, deep convolutional neural networks and random decision forests, providing insights into their successes and shortcomings, a principled route to their improvement, and new avenues for exploration.
Biography of the Speaker: Richard G. Baraniuk is the Victor E. Cameron Professor of Electrical and Computer Engineering at Rice University.  He received the B.Sc. degree in 1987 from the University of Manitoba, the M.Sc. degree in 1988 from the University of Wisconsin-Madison, and the Ph.D. degree in 1992 from the University of Illinois at Urbana-Champaign, all in Electrical Engineering.  His research interests lie in  new theory, algorithms, and hardware for sensing, signal processing, and machine learning.  He is a Fellow of the American Academy of Arts and Sciences, National Academy of Inventors, American Association for the Advancement of Science, and IEEE.  He has received the DOD Vannevar Bush Faculty Fellow Award (National Security Science and Engineering Faculty Fellow), the IEEE Signal Processing Society Technical Achievement Award, and the IEEE James H. Mulligan, Jr. Education Medal.  He holds 28 US and 4 foreign patents that have been licensed to 2 companies.
Other information: The seminar is free and open to all who wish to attend. For more information please contact Dr. Jun Cai.

IEEE PES Seminar – Linear Analysis of Power Systems in the Presence of Black-Boxed Simulation Models – March 21, 2017

Tuesday, March 7th, 2017

IEEE PES Winnipeg is proud to announce the upcoming Technical Meeting scheduled for Tuesday March 21, 2017 at Holiday Inn South, 1330 Pembina Highway, featuring a presentation on “Linear analysis of power systems in the presence of black-boxed simulation models” by Akbo Rupasinghe. Please review the upcoming event on the chapter website for detailed information and to register for this event. 

 

The IEEE PES Winnipeg Chapter must provide Holiday Inn with the number of attendees. Our best estimate of walk-in registrants will be submitted but we cannot guarantee all walk-in registrants will be served lunch. Please register early to avoid any unwanted inconvenience. No refund after registration closes. Registration closes at end of Sunday, March 17, 2017. If you have any questions, please contact Kang Liu at 204-360-6419.