| IEEE Xplore Digital Library | IEEE Standards IEEE Spectrum | More Sites
IEEE Ottawa Section June 2019 Newsletter
View in Browser

June 2019 Newsletter

Presented by the Ottawa Section IEEE Reliability Society & Power Electronics Society Joint Ottawa Chapter and PELS Student Chapter:

The Future of Power Electronics:
wide bandgap devices and advanced digital power processors

In Celebration of the 1st PELS Day
Tanya Gachovska
Senior Verification Engineer
Solantro Semiconductors Corp

Chris Winkler
VP Business Development
Solantro Semiconductors Corp.

Date: June 20th, 2019

Time: 5:00 PM to 7:30 PM
Refreshments, Registration and Networking: 5:00 PM
Seminar: 5:30 – 6:30 PM
Trip: 6:30-7:30 PM

Location: Solantro Semiconductor Corp. 146 Colonnade Rd; Suite 200; Ottawa ON, Canada; K2E 7Y1
Registration: via email:

Wide bandgap semiconductors have drawn a lot of attention in power applications due to their superior material properties, such as withstand to high critical electric field so the breakdown voltage is a minimum of 10X higher and thus can be thinner devices because of the 100 times smaller on-resistance than Si. Their significantly smaller conduction and switching losses compared to Si devices enable high frequency switching leading to size decrease of the overall system. Smart control of wide bandgap devices, by utilizing advanced digital processors, further benefits power application by enabling designs with low parts count, high power density and a low BOM cost. Also, by supporting variable frequency operation and control methodologies, low EMI/RFI and high efficiency can be achieved.

Presented will be some benefits of wide bandgap semiconductors and their control with Solantro’s advanced digital power processor (SA4041) for Smart Power Supplies, and other applications. After the presentation, a tour showing the Smart Grid project together with Solantro’s Power development, operation and testing labs will be conducted. Solantro engineers will be happy to answer questions during the tour.

Speaker Bios
Chris Winkler VP Business Development at Solantro Semiconductors Corp.
 25+ years of experience in the semiconductor and wireless equipment industries spanning a variety of leadership roles in Fortune 500 companies and start-ups. He was previously with MEMSIC, where he was Executive Business Unit Director leading strategic marketing and product lines responsible for novel new MEMS sensing products to address the challenges of the enterprise server, storage, industrial power, IOT and motor control markets. During his career he has lead Power Analog and MOSFET products at Fairchild Semiconductor, led advanced RF systems technology at Motorola Mobility, led RF power amplifier solutions Motorola Semiconductor and engineering development at Home Wireless Networks Chris has published a wide variety of articles across a variety of industries and holds a BSEE & MSEE from Iowa State University.

Tanya Gachovska, Senior Verification Engineer at Solantro Semiconductors Corp.
Received her B.Sc., M.Eng., and Ph.D. Degrees, all in Electrical Engineering, from the University of Ruse, Bulgaria, in 1994, 1995 and 2003, respectively. She earned her second Ph.D. Degree in Electrical Engineering (Power Electronics), at the University of Nebraska-Lincoln (UNL), Lincoln, USA in 2012. Her Ph.D. thesis was “Modeling of Power Semiconductor Devices”. She worked as an Assistant Professor at the University of Ruse from 1999 to 2003. She conducted research from 2004 to 2006 and taught for a semester in 2006 at McGill University in Montreal. She worked as a Postdoctoral Research Scientist in the area of Pulsed Electric Fields at UNL from 2012 to 2013. During her Ph.D. Studies at UNL, she taught various courses and labs, and continued a collaboration in Pulsed Electric Fields research with McGill University, University of Ruse, University of Djiali Liabes, Sidi Bel Abbes, Algeria and École Nationale Supérieure Agronomique, El Harrach, Algeria. She joined Solantro Semiconductor, Corp., Canadian Office in Ottawa in 2013. Dr. Gachovska authored or co-authored more than 30 technical papers and conference presentations, two books, two chapter of Power Electronics Handbook 4th edition and holds a world patent in Pulsed Electric Fields.

For more information, see the attached flyer (Also available on our website at:

Presented by the Ottawa Section Conferences Committee:

2019 IEEE Global Signal and Information Processing Conference

The 7th IEEE Global Conference on Signal and Information Processing (GlobalSIP) will be held at the Shaw Centre in Ottawa, Ontario, Canada on November 11-14, 2019. GlobalSIP focuses on signal and information processing with an emphasis on up-and-coming signal processing themes. The conference features world-class plenary speeches, distinguished symposium talks, tutorials, exhibits, oral and poster sessions, and panels. GlobalSIP is comprised of co-located General Symposium and symposia selected based on responses to the call-for-symposia proposals.

We are now accepting paper submissions for both the General Symposium and Topical Symposia for 2019 IEEE GlobalSIP. The paper submission deadline is June 17, 2019.


Topics for the General Symposium

Signal & information processing for:

  • communications and networks, including green communications
  • optical communications
  • forensics and security
  • finance
  • energy, power systems, smart grid
  • neural networks, deep learning
  • genomics and bioengineering (physiological, pharmacological and behavioral)
  • Image and video processing
  • Selected topics in speech processing and human language technologies
  • Human machine interfaces
  • Multimedia transmission, indexing, retrieval, and quality of experience
  • Selected topics in statistical signal processing
  • Cognitive communications and radar
  • Graph-theoretic signal processing
  • Machine learning
  • Compressed sensing, sparsity aware processing
  • Seismic signal processing
  • Big data and social media challenges
  • Hardware and real-time implementations
  • Other (industrial) emerging applications of signal and information processing
  • 5G wireless communication
  • Massive MIMO
  • Mm-Wave communication
  • Bio-image analysis

Topical Symposia open for Submissions

  1. Machine learning in multimedia communication
  2. Artificial intelligence for future wireless communication
  3. Signal processing challenges in modern radio astronomy
  4. Deep learning for healthcare engineering
  5. Signal processing advances for non-orthogonal multiple access in future wireless networks
  6. Graph signal processing
  7. Advanced bio-signal processing and machine learning for assistive and neuro-rehabilitation systems
  8. Tensor methods for signal processing and machine learning
  9. Machine learning, optimization and security for future energy delivery systems
  10. Signal/information processing and AI for finance and business
  11. Signal processing for human machine learning systems
  12. Signal and information processing for person-centered and citizen-centered smart living
  13. Intelligent wireless security provisioning for 5G and beyond
  14. Machine learning for wireless communications, networking, and security
  15. Signal processing and machine learning for social good
  16. Machine learning for rare event detection in healthcare
  17. Non-Orthogonal Multiple Access
IEEE | IEEE Signal Processing Society
For more information, see the attached flyer (Also available on our website at:
Presented by the Ottawa Section Computer Society:

Ottawa IEEE Lunch and Learn: The Status of the Internet in Canada and the importance of Canadian IXP's
Jacques Latour
Chief Technology Officer

Date: June 20th, 2019

Time: 11:30 AM to 1:00 PM

Location: CENGN (Center for Next Generation Networks), 555 Legget dr Tower A Suite 600. Ottawa ON, K2K 2X3


Event Website

11:30 - 12:00  Lite Lunch, Networking, and Welcoming Remarks 
12:00 - 13:00  Seminar

A quick overview of the Canadian Internet exchange landscape from coast to coast to coast. Canada has its share of challenges and opportunities in building and growing the IXP infrastructure near the Canadian border, and also to support the need of the rural communities.

Speaker Bio
As an expert in developing innovative, leading-edge IT solutions, Jacques has established CIRA as a global leader among ccTLD registries. He has 25+ years of experience in the private and not-for-profit sectors and as CIRA’s CTO,is currently leading CIRA Labs, CIRA’s innovation hub and providing leadership and direction for the management and security of the .CA registry and its underlying DNS.

A visionary in the Internet community, Jacques led the development of CIRA’s Internet Performance Test, is an outspoken advocate for the adoption of IPv6 and represents the .CA registry internationally as a member of a variety of working groups and advisory groups, including being a member of ICANN’s Security and Stability Advisory Committee (SSAC), TLDOPS standing committees and TechDay and DNSSEC Planning Program Committee. 

Jacques is committed to the development of a new Canadian Internet architecture. He has served as the catalyst for the creation of a national Canadian IXP association, CA-IX, and is a member of the Manitoba Internet Exchange’s (MBIX) and the DNS-OARC Board of Directors.

Jacques holds an Electronics Engineering Technologist diploma from Algonquin College in Ottawa, is ITIL v3 Foundation certified and is a certified Agile ScrumMaster.

Presented by the Ottawa Section PHO Chapter, EMBS Chapter, CS Chapter, and SP Chapter Jointly with Vitesse Reskilling:

IEEE Ottawa Seminar Series on AI and Machine Learning - Application of Deep Learning for Medical Image Analysis
Fatemeh Zabihollahy
Carleton University

: June 26th, 2019

Time: 11:30 AM to 1:30 PM

Location: Vitesse Re-skill, 359 Terry Fox Drive, Suite 200, Kanata K2K 2E7


Event Contact: Kexing Liu (

Medical imaging, (e.g., computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), mammography, ultrasound, X-ray) has advanced at a rapid speed over last decades. Currently, the medical image interpretation is mostly performed by human experts, which is a tedious task and subject to high inter-operator variability. Deep learning is providing exciting solutions for medical image analysis problems. Recent advances in deep learning have helped to identify, classify, and quantify patterns in medical images. In this seminar, we introduce the principles and methods of deep learning concepts, particularly convolutional neural network (CNN). We show how CNN operates. I will describe several interesting applications of deep learning for medical image analysis, including my recent works on segmenting myocardial scar (injured) tissue in the heart, prostate tumor detection, and kidney lesion localization in 3D MRI and CT images.

Speaker Bio
Fatemeh Zabihollahy is currently a Ph.D. candidate at Carleton University. She obtained her MASc (2016) and BASc (2001) both in Biomedical Engineering from Carleton University, Canada and Shahid Beheshti University, Iran, respectively. She worked in the medical devices industry as an R&D engineer for ten years. Her research interest is in the field of application of deep learning techniques for medical image analysis.

Event is free, but space is limited. All participants must register in advance.

Pizza / Pop will be provided.

For more information, please contact: Kexing Liu

For more information, see the attached flyer (Also available on our website at:
You have received this mailing because you are a member of IEEE Ottawa Section.

If there are any problems with the newsletter please contact

Copyright © 2019 IEEE Ottawa, All rights reserved.

Our mailing address is:
IEEE, 445 Hoes Lane, Piscataway, NJ 08854 USA

unsubscribe from this list    update subscription preferences