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Archive for the ‘University of Manitoba’ Category

IEEE Computer and Computational Intelligence Seminar – High Level Design Tools for FPGAs (Jan. 4, 2018)

Tuesday, January 2nd, 2018

The Department of Electrical and Computer Engineering and the IEEE Winnipeg Section Computer and Computational Intelligence Chapter is pleased to present:

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Seminar Title: High Level Design Tools for FPGAs

Speaker: Paul White

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Date: Thursday January 4, 2018 – 2:30 PM to 3:30 PM

Location: EITC E2-350, University of Manitoba, 75 Chancellor’s Circle, Winnipeg, MB, Canada

Contact: Ian Jeffrey, Chair, IEEE Computer and Computational Intelligence Chapter, Winnipeg – Ian.Jeffrey@umanitoba.ca

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Presentation Abstract:

High-level languages are commonplace in software design, and now they are coming to FPGAs too! In this talk, you will learn about some of Intel PSG’s High Level Design tools for FPGAs. These tools include the brand new High Level Synthesis (HLS) compiler, as well as DSP Builder, and OpenCL.

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Biography of the Speaker:

Paul White graduated from the University of Manitoba Dept. of Computer Engineering in 2014, and completed a MSc. in Biomedical Engineering in 2017. He currently works at Intel Programmable Solutions Group as an Application Engineer supporting the newly released Intel HLS compiler.

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IEEE EMBS Seminar: NeuroBlate – An Innovation Spiral (November 30, 2017)

Monday, November 27th, 2017

Title: NeuroBlate – An Innovation Spiral

Date: Thursday, Nov. 30th (4-5pm)

Location: University of Manitoba, Fort Garry Campus. EITC building, room E2-320

Dr. Mark Torchia is currently the Executive Director of The Centre for the Advancement of Teaching and Learning, and Associate Professor of Surgery at the University of Manitoba. He is also the founder of Monteris Medical – a made in Manitoba innovative medical device company that developed NeuroBlate. Using magnetic resonance imaging, laser energy, and sophisticated software, the system provides a tool for neurosurgeons and an option for patients with brain tumours and other intracranial targets in a minimally invasive manner – reducing both health costs and post-operative care. In 2016 Dr. Torchia was recognized with a Governor General’s Innovation Award; and in 2015 he was honoured with the prestigious Ernest C. Manning Foundation Principal Award.

Dr. Torchia will be speaking about his journey to develop and commercialize an innovative and world class medical technology.

Food and drinks will be provided after the seminar.

Event Poster

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 Communications Society Seminar – November 24, 2017

Tuesday, October 31st, 2017
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IEEE COMMUNICATIONS SOCIETY, Winnipeg Section, and Department of Electrical and Computer Engineering, University of Manitoba, are hosting the following technical seminar.
All are welcome to attend.
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TITLE: Massive Device Connectivity with Massive MIMO

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SPEAKER:  Dr. Wei Yu
DATE:    Friday, 24 November 2017
TIME:      2:30 pm
PLACE:     Room E2-160, EITC, University of Manitoba, Fort Garry Campus
ORGANIZER:  IEEE Communications Society (Winnipeg Section)
ENTRANCE FEE: Free
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ABSTRACT:
Massive connectivity is a key requirement for future 5G wireless access. This talk considers a massive device communications scenario in which a large number of devices need to connect to a base-station, but user traffic is sporadic so that at any given coherence time only a subset of users are active. For such a system, user activity detection and channel estimation are key issues. This talk first provides an information theoretical analysis for massive connectivity by illustrating how the cost of user identification and channel estimation affects the achievable degree-of-freedom. Next, we present a two-phase framework in which compressed sensing techniques are used in the first phase to identify the devices and their channels, while data transmission takes place in the second phase. We propose the use of approximate message passing (AMP) for device identification and show that state evolution can be used to analytically characterize the missed detection and false alarm probabilities in AMP. This talk further considers the massive connectivity problem in the massive MIMO regime. We analytically show that massive MIMO can significantly enhance user activity detection, but the non-orthogonality of pilot sequences can nevertheless introduce significant channel estimation error, hence limiting the overall rate. We quantify this effect and characterize the optimal pilot length for massive uncoordinated device access.
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BIOGRAPHY OF THE PRESENTER:
Wei Yu (S’97-M’02-SM’08-F’14) received the B.A.Sc. degree in Computer Engineering and Mathematics from the University of Waterloo, Waterloo, Ontario, Canada in 1997 and M.S. and Ph.D. degrees in Electrical Engineering from Stanford University, Stanford, CA, in 1998 and 2002, respectively. Since 2002, he has been with the Electrical and Computer Engineering Department at the University of Toronto, Toronto, Ontario, Canada, where he is now Professor and holds a Canada Research Chair (Tier 1) in Information Theory and Wireless Communications. His main research interests include information theory, optimization, wireless communications and broadband access networks. Prof. Wei Yu currently serves on the IEEE Information Theory Society Board of Governors (2015-17). He served as an Associate Editor for the IEEE Transactions on Information Theory (2010-2013), and currently serves as an Area Editor for the IEEE Transactions on Wireless Communications. He currently chairs the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society. Prof. Wei Yu received a Journal of Communications and Networks Best Paper Award in 2017, a Steacie Memorial Fellowship in 2015, an IEEE Communications Society Best Tutorial Paper Award in 2015, an IEEE ICC Best Paper Award in 2013, an IEEE Signal Processing Society Best Paper Award in 2008, and an Early Career Teaching Award from the Faculty of Applied Science and Engineering, University of Toronto in 2007. He is recognized as a Highly Cited Researcher. Prof. Wei Yu is a Fellow of IEEE and a Fellow of Canadian Academy of Engineering.
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For additional information, please contact:
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Jun Cai, Ph.D., P.Eng.
Chair, IEEE Communications Society Chapter, IEEE Winnipeg Section
Associate Professor
Department of Electrical and Computer Engineering
University of Manitoba
Winnipeg, MB Canada R3T 5V6
Telephone: 1-204-4746419
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IEEE Winnipeg Section Meeting – October 17, 2017

Monday, October 16th, 2017

Date: October 17, 2017

Time: 5:30-6:30 pm

Location: Room E2-221, Engineering & Information Technology Complex (EITC), University of Manitoba, Winnipeg MB

The proposed agenda for this meeting and the minutes from the previous meeting (September 19) are attached below:

2017_10_17_Agenda

2017_09_19_Minutes

We look forward to seeing you there!