IEEE Winnipeg Section


Archive for the ‘Computer and Computational Intelligence Chapter’ Category

Computer and Computational Intelligence Seminar

Thursday, April 25th, 2013



Perception-Based Computing


Thursday, May 2, 2013 from 2:30-3:30 PM


Rm E2-251, EITC (Engineering & Information Technology Complex)
Fort Garry Campus
University of Manitoba


Piotr Wasilewski, Ph.D.
Assistant Professor
Faculty of Mathematics, Computer Science & Mechanics
Warsaw University, Poland


This talk addresses the basic notions of Perception Based Computing (PBC). Perception is characterized by sensory measurements and ability to apply them to reason about satisfiability of complex vague concepts used, such as guards for actions or invariants to be preserved by agents. Such reasoning is often referred as adaptive judgment. Vague concepts can be approximated on the basis of sensory attributes rather than defined exactly. Approximations usually need to be induced by using hierarchical modelling. Computations require interactions between granules of different complexity, such as elementary sensory granules, granules representing components of agent states, or complex granules representing classifiers that approximate concepts.

We base our approach to interactive computations on interactive information systems and rough sets. Such systems can be used for modelling advanced forms of interactions in hierarchical modelling. Unfortunately, discovery of structures for hierarchical modelling is still a challenge. On the other hand, it is often possible to acquire or approximate them from domain knowledge. Given appropriate hierarchical structures, it becomes feasible to perform adaptive judgment, starting from sensory measurements and ending with conclusions about satisfiability degrees of vague target guards. Thus, our main claim is that PBC should enable users (experts, researchers, students) to submit domain knowledge, by means of a dialog. It should be also possible to submit hypotheses about domain knowledge to be checked semi-automatically.

PBC should be designed more like laboratories helping users in their research rather than fully automatic data mining or knowledge discovery toolkit. In particular, further progress in understanding visual perception (as a special area of PBC) might be possible, if it becomes more open for cooperation with experts from neuroscience, psychology, or cognitive science. We anticipate that PBC might become important in many research areas.

Speaker Bio:

Dr. Piotr Wasilewski received his PhD in mathematical logic from Jagiellonian University, Krakow, Poland in 2005. In 2009, he received his PhD in cognitive psychology from Warsaw University. During 2009/2010, he was a Post Doctoral Fellow at the Department of Electrical and Computer Engineering, University of Manitoba, Canada. From 2010 he has been an Assistant Professor at the Faculty of Mathematics, Computer Science and Mechanics, Warsaw University. Piotr Wasilewski is (co)author of 28 scientific publications.

His areas of interests include perception based computing, interactive granular computing, soft computing methods and application such as rough set theory and formal concept analysis, reasoning with incomplete information, approximate reasoning, wisdom technology, adaptive and autonomous systems, human-computer interaction, cognitive science, intelligent systems, knowledge discovery and data mining. He served on Program Committees of several international conferences. He is a reviewer for several scientific journals, and serves as an expert in the field of computer science for the Polish National Science Centre.


Free, All are welcome.



For questions or more information contact Witold Kinsner at 474-6490.

Winnipeg International Space Apps Challenge

Tuesday, February 12th, 2013

2013_04_20_spaceappsThe Winnipeg International Space Apps Challenge will take place on April 20-21, 2013 at the University of Manitoba. In this event, UMSATS is partnering with NASA to participate in a 48hr hackathon to solve problems with people from all over the world. Go to for details.

There are four major categories of challenges:

  • Software – APIs, databases, and other tools for managing data collected from space
  • Open Hardware – technologies for space exploration
  • Citizen Science – why we explore space presentations
  • Data Visualization – visualizing data already collected by others


This event is free and open to anyone ages 16+. The top two solutions will receive prizes and be entered into the worldwide competition where they will be judged by a panel of NASA judges.

For more information please contact Dario Schor at

Basic Amateur Radio Course

Tuesday, January 29th, 2013


Course Title:

Radio Course on Regulations, Theory & Practice for Basic Radio Certificate Qualifications

Course Dates & Times:

  • Session #1. February 2, 2013
    (once a week, Saturday morning at 10:30 AM, one and a half hours)
  • Session #2. February 9 (10:30 AM)
  • Session #3. February 9 (12:30 AM)
  • Session #4. March 2 (10:30 AM)
  • Session #5. March 9 (10:30 AM)
  • Session #6. March 16 (10:30 AM)
  • Session #7. March 23 (10:30 AM)
  • Optional Session #8. April 6, 2013 (Exam)


Room E2-350, EITC (University of Manitoba, Fort Garry Campus)

Course Instructor:

W. Kinsner, PhD, PEng, VE4WK
Accredited Examiner, Industry Canada

Course Organizers:

  • UMARS (University of Manitoba Amateur Radio Society)
  • IEEE Computer & Computational Intelligence Chapter
  • IEEE Student Branch, UofM McNaughton Student Centre

Course Fee:

$10 (payable just before the first session)
(includes membership in UMARS for one year.
There is NO extra charge for the exam.)
Payable just before the first meeting, February 2, 2013.


Register online by clicking here.

Motivation to become a ham:

Operating amateur radio requires a licence issued to a person by the Government of Canada, after a successful examination of the person’s basic qualifications. The exam can be taken either after a self-study period, or by taking a course. The basic licence allows you to communicate on many amateur radio bans. Thus, the basic amateur radio qualifications course can be your ticket to the vast universe of amateur radio.

For T-Sat members, this is an exciting opportunity to learn about amateur radio in order to be able to operate the UMARS ground station, and talk to any amateur satellite.

Course Outline:

The objective of the course is to prepare students to the exam for Basic Radio Certificate Qualifications (administered on behalf of Industry Canada), and to provide rudimentary experience with amateur radio. If passed, the student obtains a radio licence to operate amateur radio using all the modes (AM, FM, PSK, and other digital modes) on all the frequency bands (from kilohertz to terahertz), as assigned to amateur radio operators in Canada and elsewhere.


  • Motivation and Introduction
  • Regulations: Bands, Q-codes and Operation
  • Electrical & Electronic Background
  • Wave Propagation
  • Transmission Lines
  • Antennas
  • Modulating, Receiving, and Amplifying Electronic Components
  • Block Diagrams of CW, FM, AM, SSB Transmitters & Receivers
  • Operation & Interference

Demonstrations and Workshops (time permitting):

  • Demo of radio equipment (microphone, loudspeaker, receiver, transmitter, antennas, power meter, SWR meter).
  • My very fist QSO (how to establish and maintain a radio contact).
  • Demo of the UofM satellite ground station, and a QSO through a satellite.
  • Fox hunting and a demo of relevant equipment and operations.
  • Packet radio and a demonstration of relevant equipment and operations.
  • APRS (Automatic Packet Reporting Systems) and a demonstration of relevant equipment and operations.
  • New Developments: D-Star radio.
  • Exam

Course Format:

This eight-session non-credit course takes only a quarter of the time required by a regular equivalent course. This is possible because of the background of our university students and practising engineers who take the course. Other individuals who are willing to study a bit harder, may also take the course.

Each session will cover parts of the core material (regulations, theory, practice) and a short demonstration after the session, as specified above.

Course Material:

The instructor will use his own slides during the lectures. Additional documents can be downloaded from Industry Canada (as specified in class).

More information:

For more information, please contact the instructor.

Witt Kinsner, VE4WK
Department of Electrical & Computer Engineering University of Manitoba Winnipeg, MB R3T 5V6
t: 1-204-474-6490
f: 1-204-261-4639
e: “W. Kinsner, VE4WK”

Embedded Systems Workshop: Advanced

Thursday, December 27th, 2012



Saturday, January 12, 2013 from 10:00-16:00 – RESCHEDULED DUE TO EXTREME WEATHER CONDITIONS

Saturday, January 19, 2013 from 10:00-16:00


E3-528 EITC
University of Manitoba


Dr. Amhad Byagowi and Kiral Poon


In this workshop, students will learn to master the Arduino development board and the Arduino IDE. Through a series of tutorials, participants will be taught how to harness the Arduino’s more advanced features to create powerful and efficient embedded systems.

This workshop will also include a project component. Participants will be taught step-by-step how to desgin and implement a persistence-of-vision text display using an Arduino, a breadboard, and some LEDs.

An Arduino is required for this workshop. Participants who do not have their own Arduino may purchase one from UMIEEE for $35.


Prior exposure to programming, electronics, and the Arduino development environment are strongly recommended.


$10 for IEEE student members per workshop $15 for non-members per workshop

The deadline for ordering Arduinos through UMIEEE is January 6, 2013.

To register, complete and submit the secure registration form..



For more information contact Kiral Poon or Ray Blostein.


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Computer and Computational Intelligence Seminar

Friday, July 27th, 2012



Cognitive Dynamic Systems: Radar, Control and Radio


Tuesday, August 28, 2012 from 2:30-3:30 PM


Rm E3-270, EITC (Engineering & Information Technology Complex)
Fort Garry Campus
University of Manitoba


Simon Haykin, Ph.D., D.Sc., FRSC, FIEEE
Distinguished Professor
Cognitive Systems Laboratory
McMaster University
Hamilton, Ontario


The human brain is the most powerful dynamic systems ever. This said, it is logical that I begin my lecture with some historical notes on neuroscience, begining with pioneering contributions made by Vernon Mountcastle, David Marr, and Joaquin Fuster. In a sense, the contributions made by these pioneers and many others paved the way for what is now being referred to as the new paradigm of cognitive neuroscience.

Early on in my work on cognitive radar, I decided to build on the five principles of cognition as described by Fuster. The principles are perception, memory, attention, intelligence, and language. From an engineering perspective, what I found nice about what I have termed, Fuster’s paradigm, is the fact that building a cognitive radar system follows an orderly fashion.

Then, I will describe the information processing power of cognition applied to radar. In particular, I will describe the achievements, both theoretically and experimentally (based on simulations). Most importantly, the switching of transmit waveform from one perception-action cycle to the next follows ever so smoothly, very much like how it is known to occur in the human brain.

Next, I will turn to cognitive control. Here, I will describe the new notion of a two-state model, one being the target-state and the other being the entropic-state, the latter accounting for uncertainties and disturbances.

For my third topic, I will describe the roles of game theory, information theory, optimization and control. I will describe how by exploiting the well known postulate of Hebbian Learning, we can actually build self-organized cognitive ad-hoc radio networks.
Much of what I will describe has been the results of work done with my gifted and dedicated research group of graduate students and post-doctoral fellows.

To conclude the lecture, I will briefly describe recent work done on “Cognitive Radar Information Networks” for security along the Great Lakes in North America. This work was done in collaboration with the Accipiter Radar Technologies, Inc., Ontario.

Speaker Bio:

Dr. Simon Haykin received his B.Sc. (First-class Honours), Ph.D., and D.Sc., all in Electrical Engineering from the University of Birmingham, England. He is Distinguished University Professor at McMaster University, a Fellow of the Royal Society of Canada, and a Fellow of the Institute of Electrical and Electronics Engineers. He is the recipient of the Henry Booker Gold Medal from URSI, 2002, the Honorary Degree of Doctor of Technical Sciences from ETH Zentrum, Zurich, Switzerland, 1999, and many other medals and prizes.

For much of the past ten years he has focused his research effort to how to learn from the human brain, and apply it to a new generation of Cognitive Dynamic Systems, exemplified by the following:

1. Cognitive radio, on which the first journal paper, entitled “Cognitive Radio: Brain empowered wireless communications,” was published in the IEEE Journal on Selected Areas in Communications (JSAC), February 2005.

2. Cognitive radar, on which the first journal paper, entitled “Cognitive Radar: A way of the future”, was published in the IEEE Journal on Signal Processing, January 2006. The forthcoming paper, entitled “Cognitive Radar: Step toward bridging gap between neuroscience and engineering,” will be published in the Proceedings of the IEEE, November 2012.

3. In the last few months of 2011, the notion of the “two-state model” was discovered for the first time, with one state representing a target state; and the other state, named the “entropic state,” representing environmental uncertainties and disturbances. This new notion opened the way to formulate the basics of Cognitive Control, in the implementation of which use was made of reinforcement learning for the first time ever. A white paper on Cognitive Control was submitted to the the Proceedings of the IEEE few months ago.

4. In November 2006, a point-of-view article in the Proceedings fo the IEEE was published, describing the new integrative field of “Cognitive Dynamic Systems.” A follow-up to the that first article will be published in the Proc. IEEE, July 2012.

5. Perhaps the biggest look to the future developed in the course of a four-month collaborative work with Dr. Tim Nohara, President of Accipiter Radar Technologies, Fonthill, Ontario. In the White Paper, entitled “Cognitive radar information networks,” ideas were described for the first time ever, addressing the issue of security across the Great Lakes in North America by exploiting the information-processing power of cognition .

6. Last but by no means least, the first book, entitled “Cognitive Dynamic Systems,” was published by Cambridge University Press, in March 2006.

In light of what has been described here, working in collaboration with a gifted and dedicated research group of graduate students and post-doctoral fellows, it can be justifiably said that at the Cognitive Systems Laboratory, McMaster University, we have taken few steps aimed at harnessing the information-processing power of the human brain for building a new generation ofengineering systems. This joint effort has been truly exciting.


Free, All are welcome.


  • IEEE Computer & Computational Intelligence Chapter
  • IEEE Communications Chapter
  • IEEE Robotics and Control Chapter
  • IEEE Education, Management, and Communication Chapter (EduManCom)
  • Engineering Design Chair (Canada Research Chair)
  • Institute of Industrial Mathematical Sciences (IIMS)
  • Telecommunications Research Laboratories (TRLabs)
  • InfoMagnetics Technologies (IMT)
  • Manitoba Hydro
  • Magellan Bristol Aerospace
  • Canadian Forces School of Aerospace Studies
  • UofM IEEE McNaughton Student Centre
  • UofM Space Applications & Technology Society (UMSATS, T-Sat)
  • UofM Amateur Radio Society (UMARS)


For questions or more information contact Witold Kinsner at 474-6490.