Admission: Free. Registration required.
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GaN HEMT has been a focus in both academia and industry, due to the extremely low figure of
merits (RDS(on) x QG) compared with conventional Silicon counterparts. The opportunities, challenges and design considerations for GaN HEMTs in industrial and automotive applications will be presented in the device/packaging and system perspectives. Design examples are detailed to show how the system
performance maximization is enabled by GaN HEMTs with minimum cost in the selected applications.
The key design procedures will be thoroughly discussed, i.e., topology selection, loss analysis, cost reduction, power stage layout, thermal design, etc.
This presentation is aimed at covering the fundamentals as well as the latest research and updates of GaN HEMTs applications. The target audience is the design engineers, researchers, graduate/undergraduate
students interested in industrial/automotive applications or just GaN technology.
Juncheng (Lucas) Lu received B.S. degree from Zhejiang University, Hangzhou, China, and M.S. degree from Kettering University, Michigan, USA. He was a research engineer with Delta Power Electronics Center, Shanghai, China. Since 2016, he has been with GaN Systems, Inc., Ottawa, Canada. He manages the head office applications and is responsible for Americas and EMEA application support. His research interest is wide bandgap devices application, power electronics packaging, high-efficiency high power
density power supply, and electric vehicle battery charger. He published more than 20 IEEE/SAE transaction and conference papers and holds 9 U.S. Patents.
|Risk Management (RM) is a process that provides
confidence that planned objectives will be achieved.
The focus of this seminar will be (1) Defining the risk management and
Speaker: Dr. Ola Abdrabou
Visiting Professor, the Infrastructure Protection and Security (IPIS) Program-
Continuity (BC) is the capability of the organization to continue delivery of products
or services at acceptable predefined levels following disruptive incidents
The focus of
this seminar will be (1)
Defining the Business Continuity and its importance (2) Illustrating Canada
Public Safety BC framework: steps and deliverables (3) Presenting the Business
Impact Analysis (BIA) Process in details with an applied example.
Speaker: Dr. Ola Abdrabou
Faculty of Engineering, Carleton University.
This presentation discusses BluWave-ai’s findings on applying machine learning techniques for time series prediction in smart grids. In particular, the Summerside Electric grid is used as an example to demonstrate the effectiveness of more accurate artificial intelligence (AI)-enabled predictors on reducing the overall cost of energy for grid operators.
Located in Prince Edward Island (PEI), Canada, Summerside Electric grid has a 12 MW local wind farm, introducing Canada’s first municipally owned and operated wind farm. In 2018, around 25% of the 137.5 TWh electrical demand was met by the wind farm, while the rest was mostly imported from New Brunswick (NB) Power by scheduling an hourly power import; the city pays a commitment rate for scheduled power. Wind farm stochastic output yields costly inaccuracy in import scheduling, as power surplus is exported back to NB Power at a lower rate and power deficit is imported in real-time at a much higher rate than the commitment rate.
To address the scheduling inaccuracy, Summerside grid data from 2016 to 2018 is leveraged to design more accurate AI-enabled time series predictors, revealing the significant potential for reducing energy cost in renewable-penetrated grids through state-of-the-art predictors.Machine learning flyer BluWave
Software Defined Networking (SDN) and Network Function Virtualization (NFV) are the key pillars of future networks, including 5G and Beyond that promise to support emerging applications such as enhanced mobile broadband, ultra-low latency, massive sensing type applications while providing the resiliency in the network.
Service providers and other verticals (e.g., Connected Cars, IOT, eHealth) can leverage SDN/NFV to provide flexible and cost-effective service without compromising the end user quality of service (QoS). While NFV and SDN open up the door for flexible networks and rapid service creation, these offer both security opportunities while also introducing additional challenges and complexities, in some cases.
With the rapid proliferation of 4G and 5G networks, operators have now started the trial deployment of network function virtualization, especially with the introduction of various virtualized network elements in the access and core networks. These include elements such as virtualized Evolved Packet Core (vEPC), virtualized IP Multimedia Services (vIMS), Virtualized Residential Gateway, and Virtualized Next Generation Firewalls. However, very little attention has been given to the security aspects of virtualization.
While several standardization bodies (e.g., ETSI, 3GPP, NGMN, ATIS, TIA) have started looking into the many security issues introduced by SDN/NFV, additional work is needed with larger security community involvement including vendors, operators, universities, and regulators.
This tutorial will address evolution of cellular technologies towards 5G but will largely focus on various security challenges and opportunities introduced by SDN/NFV and 5G networks such as Hypervisor, Virtual Network Functions (VNFs), SDN Controller, Orchestrator, Network slicing, Cloud RAN, and security function virtualization. This tutorial will also highlight some of the ongoing activities within various standards communities and will illustrate a few deployment use case scenarios for security including threat taxonomy for both operator and enterprise networks.
In addition, I will also describe some of the ongoing activities within IEEE Future Network initiative including roadmap efforts and various ways one can get involved and contribute to this initiative.