IEEE Winnipeg Section

IEEE
March 2nd, 2020
Please note that this event has been cancelled due to concerns about COVID-19.

The minutes from the previous meeting are available below:

2020_02_13_Minutes


January 30th, 2020
Please join us at the monthly IEEE Winnipeg Section meeting! All IEEE members interested in becoming more involved with the local Section are welcome and encouraged to attend. The details of the meeting are below:
Date: February 13, 2020
Location: Room E2-351, Engineering Information and Technology Complex (EITC), University of Manitoba Fort Garry Campus
Time: 5:30 pm
Food will be provided!

The minutes from the previous meeting and the proposed agenda for this meeting are available below:

2020_01_16_Minutes

2020_02_13_Agenda


January 8th, 2020
Please join us at the monthly IEEE Winnipeg Section meeting! All IEEE members interested in becoming more involved with the local Section are welcome and encouraged to attend. The details of the meeting are below:
Date: January 16, 2020
Location: Room E2-351, Engineering Information and Technology Complex (EITC), University of Manitoba Fort Garry Campus
Time: 5:30 pm
Food will be provided!

The minutes from the previous meeting and the proposed agenda for this meeting are available below:

2019_12_12_Minutes

2020_01_16_Agenda


November 26th, 2019

IEEE Winnipeg (Geoscience & Remote Sensing / Aerospace & Electronic Systems Society ) is pleased to present the following seminar:

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Seminar Title: 

Navigation: The Road to GPS and Getting Beyond It

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Speaker:

Dr. Kathleen Kramer

IEEE Distinguished Lecturer

Professor of Electrical Engineering

University of San Diego, San Diego, CA, USA

 

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Date:

Friday, November 29, 2019 at 12:30 PM

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Location:

EITC E3-262 (Fort Garry Campus; Engineering Building; “Senate Chamber”)

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ABSTRACT

Navigation can be viewed as merely determining position or direction, but more commonly it relies on knowledge of position or direction to control or monitor movement from one place to another. In this talk, the field of navigation is introduced, including the evolution of techniques up through modern navigation dominated by electronic navigation including radio, radar, and satellite. The working of GPS, a navigation system based on a constellation of satellites in medium earth orbit that provides positioning information with global coverage is explained. Since its launch in 1978, it has been in ever wider use for finding and keeping track of just about anything: people, animals, boats, trucks, planes, and more. Its initial military uses have expanded far into civilian applications both for individuals and for large-scale commerce and transportation. The wide availability of first personal vehicle GPS navigation and later mobile phone-based navigation have changed how the world does business and how people and goods are moved around. As more and more vehicles and people rely upon it, any threats to GPS navigation become more dangerous. This is a result that more systems have become completely or primarily dependent on GPS for guidance and navigation. Simple jamming of the GPS can render a system completely blind to its location, while more sophisticated attacks can spoof a GPS signal to control its navigation. Future trends and technologies to address the security issue and to move forward in navigation are discussed.

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BIO

Kathleen A. Kramer is a Professor of Electrical Engineering at the University of San Diego, San Diego, CA. She worked to develop new engineering programs as a founding member of the faculty and eventually became the chair of electrical engineering, and then serving as Director of Engineering (2004-2013), providing academic leadership for all of the university’s engineering programs. She has also been a Member of Technical Staff at several companies, including ViaSat, Hewlett Packard, and Bell Communications Research. Author or co-author of over 100 publications, she maintains an active research agenda and has recent publications in the areas of multisensor data fusion, intelligent systems, and neural and fuzzy systems. Her teaching interests are in the areas of signals and systems, communication systems, and capstone design.  She received the B.S. degree in electrical engineering magna cum laude with a second major in physics from Loyola Marymount University, and the M.S. and Ph.D. degrees in electrical engineering from the California Institute of Technology.

She chairs the AESS Technical Panel on Cyber Security and is the Chair of the San Diego Chapter of the IEEE Aerospace Electronics Systems Society, leading an active chapter that serves engineers and scientists from a large, diverse complex systems industry base. In 2015, she is contributing to the conference committees of both the 34th AESS/AIAA Digital Avionics Systems Conference and the 2015 IEEE Global Humanitarian Technology Conference. She is the 2015-16 Director Elect of IEEE Region 6 (Western USA) and in that role develops and supports technical, educational, professional and humanitarian activities in the geographic region that reaches 12 western states and borders all four IEEE international regions.  She is an IEEE member of the Engineering Accreditation Commission of ABET, leading engineering accreditation reviews at universities both in the US and internationally.

She is a past Chair of the IEEE San Diego Section and branch counselor to the IEEE Student Branch at the University of San Diego. She is also Chief Advisor to the California Alpha Epsilon Chapter of Tau Beta Pi (2012) and a member of other honor societies, including IEEE-Eta Kappa Nu. She has twice been recognized by the San Diego Engineering Council as the Engineering Educator of the Year as part of the celebration for National Engineers Week (1994, 2003). She was also principle investigator of a recent National Science Foundation project (no. 0948070) to connect veterans into undergraduate degrees in engineering and the number of veteran transfer students at her institution increased by nearly three-fold since her project began.

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We will have refreshments and an opportunity for discussion following the seminar.

Everyone is welcome to attend.

 

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Dustin Isleifson, Ph.D., P.Eng.

Chair – IEEE GRSS and AESS

Assistant Professor

Electrical & Computer Engineering | CEOS

University of Manitoba

E3-513 EITC Building

75 Chancellor’s Circle, Winnipeg, MB R3T 5V6

+1-204-474-6553

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November 26th, 2019

SPEAKER:  Dr. Saman Muthukumarana
Director, Data Science Nexus
Associate Professor & Associate Head (Graduate)
Department of Statistics
University of Manitoba
DATE:  Thursday, December 12, 2019
TIME:  2:00 pm
PLACE:  Engineering & Information Technology Complex (EITC)
Room E1-270 – Borger Room
Fort Garry Campus, University of Manitoba
ORGANIZER: IEEE Robotics, Control, Instrumentation and Measurement Chapter – Winnipeg Section

No registration is required.

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Bayesian methods are powerful for modelling and integrating multiple types and sources of data. These
methods cross into all areas of data analytics as they represent state of belief via a probability distribution.
The key ingredients for a Bayesian analysis are the likelihood function, which reflects information about
the parameters contained in the data, and the prior distribution, which quantifies apriori knowledge about
the parameters before observing data. The prior distribution and likelihood are then combined to form the
posterior distribution, which represents total knowledge about the parameters after the data have been
observed. In complex models, Markov Chain Monte Carlo (MCMC) methods are used learn about the
posterior distribution. In this talk, I will give an overview of use of various Bayesian modelling frameworks
for network models, state space models and Dirichlet process based models with real world applications.

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Dr. Saman Muthukumarana is an Associate Professor in the Department of Statistics at the University of
Manitoba. (https://www.samanmuthukumarana.com/). He is the Dircetor of Data Science Nexus and
Associate Head (Graduate) in the Department of Statistics. His primary research interests lie broadly in
Bayesian methods and computation for complex models which integrate multidisciplinary applications.
Along with this main theme, he has developed methods to facilitate modelling and inference on non-
standard complex data, which lead to innovative analyses in the areas of social networks, health studies,
sports, customer surveys, user behaviour analysis, and environmental and ecological studies.

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Contact: Dr. Nariman Sepehri, PhD, PEng
Chair, IEEE RobConIM, Winnipeg Section
Department of Mechanical Engineering, University of Manitoba
email: Nariman.sepehri@umanitoba.ca, phone: (204)4749821