A workshop co-organized and sponsored by IEEE Ottawa Young Professionals:
Machine Learning and Data Analytics for Communication Networks
Date: Wednesday, March 13th, 2019
Time: 9:30 am - 4:30 pm
Location: 4359 ME (Mackenzie Building), Systems and Computer Engineering Carleton University https://carleton.ca/campus/map
Registration: Free; Interested parties are encouraged to attend
Talks will include:
Exploration Strategy in Wireless Systems with Reinforcement Learning
AI/ML-based Security and Trust in Mobile Services
Threat of Adversarial Attacks on Machine Learning in Network Security
Resource Allocation with Deep Reinforcement Learning for Micro-grid Communications
Wireless Network Personalization: Why it Matters and How to Approach It
Machine Learning for Wireless Networks: Applications to Routing and Resource Management
The Keynote Speech will be given by Dr. Haris Gacanin, Department Head, Nokia Bell Labs, Belgium and is untitled "Exploration Strategy in Wireless Systems with Reinforcement Learning "
You are cordially invited to the upcoming technical talk:
Big Data Techniques for Maritime Risk Management: A Parallel & Distributed Risk Management Framework with Natural Language Processing and Genetic Fuzzy Systems
By
Msc. Alexander Teske
Larus Technologies Corporation
Co-organized by: IEEE CI/SMC Ottawa Joint Chapter (http://www.ieeeottawa.ca/ci) and University of Ottawa Computer Science Graduate Student Association
Location: School of Electrical Engineering and Computer Science, Room SITE 5084, 800 King Edward Ave, Ottawa When: Wednesday March 13th, 2019, 6:30 PM – 8:30 PM
Abstract
Risk management is an essential tool for ensuring the safety and timeliness of maritime operations and transportation. Some of the many risk factors that can compromise the smooth operation of maritime activities include harsh weather and pirate activity. However, identifying and quantifying the extent of these risk factors for a given vessel is not a trivial process. To do so automatically requires both large volumes of data and the algorithms to exploit it.
In this talk, three big data techniques are applied to an existing Risk Management Framework (RMF). A parallel/distributed version of two of the RMF’s modules efficiently process large volumes of data and assess the risk levels of the corresponding maritime vessels in near-real-time. Natural language processing is used to keep tabs on pirate activity by ingesting newspaper and magazine articles. A genetic fuzzy system is used within the RMF's risk assessment module in order to automatically learn the fuzzy rule base governing the risk assessment process. Additionally, a geovisualization tool is presented which displays the position and risk levels of ships at sea. Together, these techniques enable a maritime risk management process powered by big data.
Speaker Bio
Alex Teske received a bachelor’s degree in Software Engineering in 2016 and a master’s degree in computer science in 2019, both from the University of Ottawa. His research interests include optimization with genetic algorithms, risk management, and natural language processing. He is currently working as a software developer at Larus Technologies.
Seminar by IEEE Ottawa Section, PELS, PELS Student Chapter, RS-PEL, PES, Education Activities, Algonquin College IEEE Student Branch, ComSoc, CESoc, and BTS Ottawa Joint Chapter.
The IEEE Ottawa Section is inviting all interested IEEE members and nonmembers to a seminar
Opportunities and Design Considerations for GaN HEMTs in Industrial and Automotive Applications
By
Juncheng (Lucas) Lu
Applications Engineering Manager
GaN Systems Inc
Date: March 14th, 2019
Time: 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.
Abstract
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.
Speaker Bio
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.
Admission: Free. Registration required.
Please register by e-mail contacting: ottawapels@gmail.com
Abstract 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 its importance (2) Illustrating ISO:31000 framework: steps and deliverables (3) Presenting the one of the highly utilized risk assessment tools; the Failure Model Effect Criticality Analysis (FEMCA) with an applied example. (4) Sharing
the best practices of Key Risk Indicators (KRIs).
Speaker Bio
Dr. Ola Abdrabou
Visiting Professor, the Infrastructure Protection and Security (IPIS) Program-
Faculty of Engineering, Carleton University.
Part of the Series of Risk and Project Management Seminars by IEEE Women in Engineering Ottawa:
Abstract Business Continuity (BC) is the capability of the organization to continue delivery of products
or services at acceptable predefined levels following disruptive incidents
(disaster).
The focus of this seminar
(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 Bio Dr. Ola Abdrabou
Visiting Professor, the Infrastructure Protection and Security (IPIS) Program-
Faculty of Engineering, Carleton University.
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