IEEE Windsor Section

November 20th, 2016

November 6th, 2016

November 6th, 2016

Are you an active researcher, a faculty member, or a student of an academic/research institute or a university in Canada,  looking for high-performance computing (HPC) resources for your research/ project?


SHARCNET enables Canadian researchers to access HPC resources. Here is an opportunity to find out how to access such!

To learn more about the event, please see the attached poster or follow this link.

The Poster

October 1st, 2016

During this complimentary seminar, NI engineers will guide you through hands-on exercises designed to help you evaluate NI CompactDAQ and LabVIEW for your measurement application. See how you can create a data acquisition system for collecting, analyzing and storing measurement data using NI hardware and software.

Register and attend this seminar to use NI CompactDAQ and LabVIEW to:

  • Build an example data acquisition system using a variety of sensor types including temperature, strain, audio, or vibration
  • Understand key steps in system configuration
  • Familiarize yourself with automating measurements and signal processing

Who should attend:
This seminar is designed for engineers, technicians, and scientists who are evaluating NI CompactDAQ and LabVIEW for a data acquisition project or application. It is not intended as training for existing customers, students or professors. If you are looking for information about training, we invite you to explore the following options:

  • When: 21 October 2016, 1:00 p.m. – 4:00 p.m.
  • Where: University of Windsor, EPICentre, 2nd Floor
  • More Info
  • Registrer Today

Need to know more:

October 1st, 2016

IEEE Windsor section is co-sponsored a NI Labview training bootcamp, a 5-days of training at EPICcenter at University of Windsor. These training sessions are free to attend for recent graduates (a $3,200 USD value), but you should register in advanced.

If you are new to LabVIEW or looking to improve your skills, this free hands-on course introduces you to graphical programming with LabVIEW system design software. Learn how to develop data acquisition, instrument control, data logging, and measurement analysis applications. Benefit from an opportunity to take the Certified LabVIEW Associate Developer (CLAD) exam, a globally recognized entry-level certification exam, for free.

August 6th, 2016

August 2nd, 2016

How to implement Intelligence at the System, Circuit and Device levels ?

Application: Smart CMOS Imaging

In this talk we will present the development of intelligence (vs intelligent) implementations from top-down and bottom-up approaches and from Electrical engineering design and Biological Biomimicry to Solid-state Physics prediction. Smart CMOS imaging is the application of choice where these multi-disciplinary studies interacts to suggest a novel approach for research to design intelligent devices needed in a verity of advanced technological devices and systems for a variety of applications such as biomedical and renewables systems and devices to name a few.

Represents By: Dr. Faycal Saffih 

Date: 5 August 2016

Time: 10 AM-11 AM

Location: Room 3000, CEI, University of Windsor

July 5th, 2016


May 20th, 2016

Photos: Esrafil Jedari

May 13th, 2016

Title: Convex Optimization and Its Applications in Signal Processing

Time/Date: May 19th, 1:00 – 2:20pm

Place: Toldo Biulding Room 204, University of Windsor


Recently, we have witnessed the advances of convex optimization, including theoretical aspects (e.g., interior-point methods) and general-purpose software tools (e.g., SeDuMi). It has been recognized as an extremely useful technique in helping with addressing a wide range of signal processing problems, including those previously considered intractable. This talk aims to provide a tutorial of convex optimization techniques relevant to signal processing, which could be used to identify and formulate convex optimization problems arising in signal processing scenarios, and characterize the structure of optimal solutions to signal processing problems. The talk will also cover some successful signal processing applications to concretely demonstrate the effectiveness of convex optimization and its impact on signal processing.

More details here.