- Refreshments, Registration and Networking: 18:00
- Seminar: 18:30 – 20:00.
PARKING: Parking in Lots 8 and 9 after 5 p.m. is $5 flat rate, pay at a machine and display the
ticket on your dashboard.
This presentation highlights the industry best practices for measurements on modern
power electronics devices such as SiC and GAN devices. These modern devices introduce new
complexities into power conversion circuits requiring the need for precise circuit timing and higher
sensitivity for gate threshold voltage and timing.
Common measurement pitfalls can be avoided by using differential and floating measurements and
understanding the link between CMRR and signal frequency. Today’s power designs can have
common mode voltages in excess of hundreds or even thousands of volts, while still needing to
measure small differential voltages, this common mode error can be even more severe. Wide
bandgap devices allow switching of higher frequencies, higher voltages and faster rise times, which
requires higher bandwidth scopes and probes with high CMRR. In this presentation, some solutions
for improving the measurement accuracy on SiC and GaN devices during switching will be
Evan Shuster is presently the Director of Sales at Testforce Systems Inc. Testforce is North
America’s largest Representative of premium test equipment. Evan has thirty years of Test and
Measurement experience. Originally from Montreal, with a career start at Bell Canada, Evan has held
directorial positions at several small to mid-sized companies in Canada and the United States. Evan
has built up hugely successful Technical Account Manager teams with market focus covering
Semiconductors, Power and Wireless Technologies to name a few. Evan has previously created and
delivered Technical Training courses and has been a guest lecturer at several Universities and
Colleges across Canada.
We are pleased to welcome you to the 74th Annual General Meeting of the IEEE Ottawa Section. This year’s theme is Disruptive Technologies. This event sells out every year and attracts 150+ members and leaders from academia, industry, and government. In addition to a great agenda, there will be plenty of time allotted for socializing, networking and enjoying a night of entertainment.
Date: Friday 19 October 2018
Time: 05:30 PM to 10:15 PM
- 05:30 PM Networking and Arrival
- 06:00 PM AGM Business (optional)
- 06:30 PM AGM Banquet Dinner
- 09:00 PM post-AGM Social and Networking
- 10:15 PM Closing
Location: Shaw Centre (formerly Ottawa Convention Centre), Trillium Ballroom
Address: 55 Colonel By Drive, Ottawa, ON
Event contact: Zahra Mohammad, Vice-Chair, IEEE Ottawa Section
Speaker: Rodney Wilson, Chief Technologist, Research and Education Networking of Ciena
Mr. Wilson is responsible for Ciena’s leadership & global interactions with universities and the research community, including national research and education networks. His particular focus is on collaboration with advanced high-performance networks being created by national government for research and education purposes. These networks experiment with emerging, pre-commercial hardware and software solutions. Mr. Wilson directs Ciena’s involvement with these research networks. Further, representing Ciena’s CTO organization, he orchestrates intersections between emerging technologies and Ciena research and development groups.
Prior to his current role, he was a senior advisor for the CTO at Nortel, and held other advanced technology roles during 13 years with the company, including director of broadband switching and optical Ethernet R&D. He served as Network Architect for the University of Toronto’s global bibliographic network service. He served as Chair of the Patronage Committee, IEEE International Conference of Communications 2012 (ICC 2012) Ottawa, and as member of the Organizing Committee ICC 2012. He is a frequent speaker at IEEE conferences and events, including the annual SuperComputing SC conference series sponsored jointly by IEEE and ACM. Originally trained in Electrical Engineering at Ryerson University in Toronto Ontario, and is a graduate of the Executive Management school at Stanford University in Palo Alto California. He is a recipient of the Queen Elizabeth II Jubilee medal for his service to Canada.
The IEEE Ottawa Section Nominations and Appointments Committee proposes the following nominees, who have agreed to serve, if elected, as the 2019 IEEE Ottawa Section Executive.
IEEE Ottawa Section Executive Slate
- Chair: Dr. Winnie Ye
- Vice-Chair: Mr. Ajit Pardasani
- Treasurer: Mr. Abdulhak Nagy
- Secretary: Mr. Travis Jardine
The elections will be held during the AGM Business at 06:00 PM.
- The Robotics Centre
- Smart & Biggar
- Carleton University Faculty of Engineering and Design
- + More!!
- Extreme Entertainment
Upcoming YP Seminar Details:
Recently, simultaneous wireless information and power transfer (SWIPT) using radio frequency (RF) waves has drawn an upsurge of research interest in various areas of communications, signal processing, and networking. SWIPT is considered as promising technology for practical energy-limited applications such as wireless sensor networks, wireless body networks, low-powered devices, internet of things (IoT), etc. Also, in the next generation wireless systems such as 5G, wireless RF energy harvesting is considered to be a promising solution to the energy scarcity issue. In the literature, SWIPT has been generally studied under the ideal (and unrealistic) assumption of linear energy harvesting, which means that the energy (or power) conversion efficiency of the energy harvesting circuit is constant over the infinitely wide range of the input RF power. However, as validated in many field measurements, the energy conversion efficiency of the actual energy harvesting circuit highly depends on the input RF power level. Specifically, due to the nonlinearities of the practical diode such as the turn-on voltage and saturation issue, the linearity assumption of the energy harvesting circuitry is significantly deviated in practical situations. In this talk, we present the recent research results on SWIPT considering the nonlinear energy harvesting. In particular, we will talk about the fundamental performance limit of SWIPT in terms of rate-energy (R-E) trade-off, the approach of using multiple energy harvesting circuits, mode selection between energy harvesting and information transfer, and optimal dynamic power allocation for SWIPT.
Il-Min Kim received the B.S. degree in electronics engineering from Yonsei University, Seoul, Korea, in 1996, and the M.S. and Ph.D. degrees in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Taejon, Korea, in 1998 and 2001, respectively. From October 2001 to August 2002 he was with the Dept. of Electrical Engineering and Computer Sciences (EECS) at Massachusetts Institute of Technology (MIT), Cambridge, USA, and from September 2002 to June 2003 he was with the Dept. of Electrical Engineering at Harvard University, Cambridge, USA, as a Postdoctoral Research Fellow. In 2003, he joined the Dept. of Electrical and Computer Engineering at Queen’s University, Kingston, Canada, and he is currently a Professor. His research interests include machine (deep) learning for various systems (especially with sensors), IoT (and IoE), signal processing for IoT, (mobile) crowd sensing, fog/cloud networks, communication security, blockchain for wireless communications, physical layer security, energy harvesting and SWIPT, compressive sensing, military communications and Radars, and 5th generation (5G) and beyond 5G wireless communications systems. He holds a number of patents either issued or pending in U.S., Japan, Germany, and Korea.
In recent years, there has been an increasing interest in aerial (airborne) networks. The domain is
very broad and includes (but not limited to) the connectivity and networking of aerial users (ex:
cargo/delivery drones), as well as aerial BSs (UAV-/drone-BSs), high-altitude platforms (HAPs),
very low earth orbit (VLEO) satellites, flying ad hoc networks (FANETs), and VHetNets (vertical
heterogeneous networks); enabling technologies such as machine learning for autonomous
operation, free-space optical communications, network slicing, and energy harvesting are
of paramount importance in this emerging framework. This workshop presents the current
research on connected and autonomous aerial networks. It is supported by IEEE Ottawa Young
Professionals. Many of the speakers are IEEE Young Professionals including PhD candidates and
researchers. This workshop also falls within the scope and goals of the IEEE Future Networks
- 10:00 am – 4:30 pm, Thursday, 07 February 2019
- The Maker Lab, 4463 ME (Mackenzie Building), Systems and Computer Engineering, Carleton University
- Lunch will be provided; Sponsored by IEEE Young Professionals.
- Arrival: 10:00-10:15 am
- Morning Session: 10:15 am – 12:00 pm
- Session Chair: Dr. Sahar Aghajanzadeh
- Connected and Autonomous Aerial Networks in 2030s
- Dr. Halim Yanikomeroglu, Professor / Carleton
- Adaptive Routing in Flying Ad Hoc Networks
- Dr. Burak Kantarci, Professor / uOttawa
- Cellular-Connected UAV in Integrated Aerial and Terrestrial Networks
- Nesrine Cherif, PhD candidate / uOttawa & Carleton
- Session Chair: Dr. Sahar Aghajanzadeh
- Lunch: 12:00 pm – 1:30 pm
- The Caf – Carleton University, Residence Commons, 3rd floor
- The Caf – Carleton University, Residence Commons, 3rd floor
- Afternoon Session I: 1:30 – 2:45 pm
- Session Chair: Dr. Jalal Khamse-Ashari
- Integrated Terrestrial-Nonterrestrial Wireless Access in Beyond-5G Networks
- Mohamed Alzenad, PhD candidate / Carleton
- Space-Air-Ground Networks: Challenges and Opportunities
- Dr. Wael Jaafar, NSERC PDF / Carleton
- FSO (Free-Space Optical) Communications Opportunities in Aerial Networks
- Dr. Sahar Aghajanzadeh, Research Associate / Carleton
- Coffee Break: 2:45 – 3:15 pm
- Afternoon Session II: 3:15 – 4:30 pm
- Session Chair: Dr. Wael Jaafar
- Aerial Coverage in Cellular Networks
- Dr. Jordan Melzer, Senior Engineer, Technology Strategy / TELUS
- Beamforming Techniques in Aerial Networks
- Hossein Vaezy, Visiting Researcher / Carleton & PhD candidate / IUT, Iran
- A Look into 3GPP Release-16 from the Perspective of Aerial Networks
- Irem Bor-Yaliniz, PhD candidate / Carleton & Network Design Engineer / Huawei Canada Research Centre
Workshop Sponsored by: IEEE Young Professionals
Systems and Computer Engineering Carleton University
Workshop Chair: Dr. Halim Yanikomeroglu, Professor, Carleton
Co-Organized and Sponsored by IEEE Ottawa Young Professionals Affinity Group.
Arrival: 9:30 – 10:00 am
Morning Session: 10:00 am – 12:00 noon
Keynote Speech (abstract and bio at the end)
Exploration Strategy in Wireless Systems with Reinforcement Learning
Dr. Haris Gacanin, Department Head, Nokia Bell Labs, Belgium
AI/ML-based Security and Trust in Mobile Services
Dr. Burak Kantarci, Professor, uOttawa
Lunch: 12:15 – 1:45 pm
The Caf – Carleton University, Residence Commons, 3rd floor
Afternoon Session I: 2:00 – 3:00 pm
Threat of Adversarial Attacks on Machine Learning in Network Security
Kunle Ibitoye, PhD candidate, Carleton, and Rana Abou Khamis, MASc candidate, Carleton
(Supervisors: Professors Ashraf Matrawy and Omair Shafiq, Carleton)
Resource Allocation with Deep Reinforcement Learning for Microgrid Communications
Dr. Melike Erol-Kantarci, Professor, uOttawa, and Medhat Alsayed, PhD candidate, uOttawa
Coffee Break: 3:00 – 3:30 pm
Afternoon Session II: 3:30 – 4:30 pm
Wireless Network Personalization: Why it Matters and How to Approach It
Rawan Alkurd, PhD candidate, Carleton
(Supervisors: Professors Ibrahim Abualhaol and Halim Yanikomeroglu, Carleton)
Machine Learning for Wireless Networks: Applications to Routing and Resource Management
Dr. Thomas Kunz, Professor, Carleton
We are now several years into explosion of machine learning (ML) in wireless networks, used to enrich decision-making by finding structures in data – knowledge discovery – as means to describe the user behavior and network performance. With new designs of wireless networks, complexity and dynamicity rises, network resources are scattered and diversity of network elements increases. Consider these examples with interesting challenges: 1) massive number of Internet-of-Things devices, sensors and actuators give rise to the problem of dynamic network planning; 2) broadband wireless leads to problems with real-time radio resource management; 3) ultra-reliable communications require support of real-time adjustments on latency and reliability in the orders of 99,99999%. For such designs artificial intelligence (AI) is expected to support high adaptability with respect to wireless environment and its services (e.g. virtual reality).
This talk discusses a paradigm shift from contemporary data-driven wireless with ML toward autonomous wireless with AI. We explore motivation, opportunities and methodology to adopt training-free AI methods for self-organization of wireless systems. We point out specific properties of wireless environment and classify future directions on training-free vs training-based systems. We start from popular data-driven ML techniques and briefly elaborate their benefits and shortcomings for wireless application mentioned above. The main focus is on reinforcement learning as a major (training-free) representative of AI. We briefly discuss learning principles of intelligent agent with problem of random exploration for wireless-specific environment. We discuss principles of self-organization by synthesizing reasoning and learning with knowledge management. Finally, we end with a case study using wireless AI prototype for self-deployment and self-optimization. The talk provokes new coming challenges and unveil interesting future directions across multi-disciplinary research areas.
Haris Gačanin received his Dipl.-Ing. degree in Electrical engineering from University of Sarajevo in 2000. In 2005 and 2008, respectively, he received MSc and PhD from Tohoku University in Japan. He worked at Tohoku University until 2010 as Assistant Professor and joined Alcatel-Lucent (now Nokia) in 2010, where he established research on data-driven analysis of communication systems at physical and media access layers. Currently, he is department head at Bell Labs and adjunct teaching professor at KU Leuven. His professional interests relate to research confluence between artificial intelligence and physical-layer communications to establish autonomous wireless systems. He has 200+ scientific publications (journals, conferences and patens) and invited/tutorial talks. He is senior member of IEEE and IEICE and recipient of IEICE Communication Systems Best Paper Award (joint 2014, 2015, 2017), The 2013 Alcatel-Lucent Award of Excellence, the 2012 KDDI Foundation Research Award, the 2009 KDDI Foundation Research Grant Award, the 2008 JSPS Postdoctoral Fellowships for Foreign Researchers, the 2005 Active Research Award in Radio Communications, 2005 Vehicular Technology Conference (VTC 2005-Fall) Student Paper Award from IEEE VTS Japan Chapter and the 2004 Institute of IEICE Society Young Researcher Award. He was awarded by Japanese Government (MEXT) Research Scholarship in 2002.