Events

May
2
Thu
The return of the IEEE Ottawa Lunch and Learn @ Mitel HQ
May 2 @ 11:30 – 13:30
The return of the IEEE Ottawa Lunch and Learn @ Mitel HQ | Ottawa | Ontario | Canada

Organized by the IEEE Ottawa Section, IEEE Ottawa Lunch and Learn is an initiative to bridge the gap and derive synergy between Ottawa industry, academia, and government. The initiative, on a monthly basis, brings a speaker from either industry, academia, or government to the heart of the Kanata Tech Hub.

The seminar is accompanied by a complimentary lunch and a space to connect, communicate, and collaborate. Our attendees include members of industry, government, and academia. University and College students are encouraged to attend, network, and discover what’s new and exciting in Ottawa Tech. IEEE Ottawa L&L is FREE and OPEN TO ALL.

Topic:

Perspectives on AI, the future impact on Engineering, Science and Technology

– May 2nd, 2019 –

Robin Grosset

Patent Agent, CTO Mindbridge AI

Artificial Intelligence (AI) is set to disrupt many professions and the future of any role will certainly involve AI. This is true for doctors, lawyers, accounts and even engineers. In this session, we will look at the factors which are bringing about this disruption. We will also explore the importance of explicability and a human-centric approach in AI technology to support improving professional judgement.

 

Robin currently works at MindBridge where he leads the development of a next generation AI Auditor which helps professionals detect and prevent financial anomalies including fraud.

 

Robin has a track record as an entrepreneur having founded successful software start- ups. He joined Cognos and subsequently IBM through acquisitions. In 2012 he was appointed IBM Distinguished Engineer. At IBM, he was a part of the Watson Group where he served as technical lead and chief architect of IBM Watson Analytics. Robin holds many patents in the areas of analytics, data processing and security. MindBridge Ai is a venture-backed FinTech company based in Ottawa, Canada. Through the application of machine learning and artificial intelligence technologies, the MindBridge platform detects anomalous patterns of activities, unintentional errors and intentional misstatements. Using MindBridge Ai Auditor, organizations across multiple industries can minimize financial loss, reduce corporate liability and can focus on providing higher value services to their clients.

May
30
Thu
Technical Talk: Recent Results and Open Problems in Evolutionary Multiobjective Optimization @ Colonel By (CBY), Room A-707, University of Ottawa
May 30 @ 18:30 – 20:30
Technical Talk: Recent Results and Open Problems in Evolutionary Multiobjective Optimization @ Colonel By (CBY), Room A-707, University of Ottawa | Ottawa | Ontario | Canada

You are invited to the technical talk entitled

Recent Results and Open Problems in Evolutionary Multiobjective Optimization

Date

Thursday May 30th, 2019

Time

6:15 PM Arrival and networking (light snacks available)

6:45 PM Approximate start of talk (40-60 mins)

7:45 – 8:00 PM Q&A period

8:00 – 8:30 PM Post-talk networking and discussion

Location

Colonel By (CBY) A-707

Faculty of Engineering
University of Ottawa
161 Louis Pasteur Private, Ottawa, K1N 6N5

admission is free but registration is required on EventBrite

Speaker

Professor Carlos Coello, CINVESTAV-IPN, Mexico, IEEE CIS Distinguished Lecturer

Abstract

Evolutionary algorithms (as well as a number of other metaheuristics) have become a popular choice for solving problems having two or more (often conflicting) objectives (the so-called multi-objective optimization problems). This area, known as EMOO (Evolutionary Multi-Objective Optimization) has had an important growth in the last 15 years, and several people (particularly newcomers) get the impression that it is now very difficult to make contributions of sufficient value to justify, for example, a PhD thesis. However, a lot of interesting research is still under way. In this talk, we will review some of the research topics on evolutionary multi-objective optimization that are currently attracting a lot of interest (e.g., handling many objectives, hybridization, indicator-based selection, use of surrogates, etc.) and which represent good opportunities for doing research. Some of the challenges currently faced by this discipline will also be delineated.

Speaker Biography

Carlos Artemio Coello Coello received a PhD in Computer Science from Tulane University (USA) in 1996. His research has mainly focused on the design of new multi-objective optimization algorithms based on bio-inspired metaheuristics, which is an area in which he has made pioneering contributions. He currently has over 470 publications which, according to Google Scholar, report over 43,900 citations (with an h-index of 83). He has received several awards, including the National Research Award (in 2007) from the Mexican Academy of Science (in the area of exact sciences), the 2009 Medal to the Scientific Merit from Mexico City’s congress, the Ciudad Capital: Heberto Castillo 2011 Award for scientists under the age of 45, in Basic Science, the 2012 Scopus Award (Mexico’s edition) for being the most highly cited scientist in engineering in the 5 years previous to the award and the 2012 National Medal of Science in Physics, Mathematics and Natural Sciences from Mexico’s presidency (this is the most important award that a scientist can receive in Mexico). He is also the recipient of the prestigious 2013 IEEE Kiyo Tomiyasu Award, “for pioneering contributions to single- and multiobjective optimization techniques using bioinspired metaheuristics” and of the 2016 The World Academy of Sciences (TWAS) Award in “Engineering Sciences”. Since January 2011, he is an IEEE Fellow. He is also Associate Editor of several journals including the two most prestigious in his area: IEEE Transactions on Evolutionary Computation and Evolutionary Computation. He is currently Vicepresident for Member Activities of the IEEE Computational Intelligence Society (CIS), an IEEE CIS Distinguished Lecturer and Full Professor with distinction at the Computer Science Department of CINVESTAV-IPN in Mexico City, Mexico.

 

Jun
20
Thu
Ottawa IEEE Lunch and Learn on state of the Canadian Internet @ CENGN (Center for Next Generation Networks)
Jun 20 @ 11:30 – 13:00

Status of the Internet in Canada and the importance of Canadian IXP’s

Jacques Latour

Chief Technology Officer, CIRA/.CA

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.

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.

Agenda

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

Oct
11
Fri
Advanced optical sources for spectrally efficient photonic systems – Liam Barry, Dublin City University @ Advanced Research Complex (ARC), uOttawa
Oct 11 @ 09:00 – 10:30

Advanced Optical Sources for Spectrally Efficient Photonic Systems
Liam Barry,
Dublin City University

 

Abstract

The continuing growth in demand for bandwidth (from residential and business users), necessitates significant research into new advanced technologies that will be employed in future broadband communication systems. Two specific technologies which are becoming increasingly important for future photonic
systems are wavelength tunable lasers and optical frequency combs. Although these topics have been studied for over two decades their significance for the development of future ultra-high capacity photonic systems has only recently been fully understood. Wavelength tunable lasers are currently becoming the
norm in optical communication systems because of their flexibility and ability to work on any wavelength. However, as their operating principles are different to standard single mode lasers they can effect how future systems will operate.

For example as optical transmission systems move towards more coherent transmission (where the data is carried using both the intensity and phase of the optical carrier), the phase noise in these tunable lasers will become increasingly important. Optical frequency combs also have many applications for
future photonics systems, and for telecommunications they can be used to obtain the highest spectral efficiency in optical transmission systems by employing the technology of optical frequency division multiplexing (OFDM) that has been widely employed to increase spectral efficiency in wireless systems. Wavelength tunable lasers and optical frequency combs are thus topics at the leading edge of current photonics systems research, and their detailed understanding promises new applications in all-optical signal processing, optical sensing and metrology, and specifically telecommunications. This talk will focus on the development and characterization of various wavelength tunable lasers and optical frequency combs, and then outline how these sources can be employed for developing optical transmission systems and networks which make the best use of available optical spectrum.

Bio

Liam Barry received his BE (Electronic Engineering) and MEngSc (Optical Communications) from University College Dublin and his PhD from the University of Rennes. His main research interests are: all-optical signal processing, optical pulse generation and characterization, hybrid radio/fibre communication
systems, wavelength tuneable lasers for reconfigurable optical networks, and optical performance monitoring. He has worked as a Research Engineer in the Optical Systems Department of France Telecom’s Research Laboratories (now known as Orange Labs), and a Research Fellow at the Applied Optics Centre in Auckland University. He is currently a Full Professor in the School of Electronic Engineering at Dublin City University, establishing the Radio and Optical Communications Laboratory, and is a Principal Investigator for Science Foundation Ireland. He has published over 500 articles in internationally peer reviewed journals and conferences, holds 9 patents in the area of optoelectronics, and has co-founded two companies in the photonics sector.

 

Oct
19
Sat
IEEE Ottawa Seminar Series on AI and Machine Learning – Sponsored by IEEE Ottawa CS Chapter, ComSoc Chapter, and SP Chapter, jointly with Vitesse- Reskilling
Oct 19 @ 00:07 – 01:07

Date Wednesday, Oct 30, 2019

Location 359 Terry Fox Drive, Kanata, Ontario

Agenda

       11:30 AM – 12:00 PM: Light Lunch and Networking

       12:00 PM – 1:00 PM  : Presentation and Q&A

1:00 PM – 1:30 PM    : Post Presentation Networking

Title of the Talk AI-Powered 5G Networks
& Beyond

Speaker  Hatem Abou-zeid 

Summary

5G Networks are anticipated
to transform modern societies by providing an ultra-reliable, high-speed
communications infrastructure that will connect billions of devices including
vehicles, machines, and sensors. Both the complexity of such networks and the
diversity of application requirements will be unprecedented. This mandates
novel, autonomous network configuration and operation that can anticipate and
react to changes in traffic, topology, and interference conditions to ensure
seamless quality of experience and reliability. In this talk I will discuss
AI-driven networking use-cases elaborating on the practical challenges of
industrial deployments. I will then highlight directions where research is
needed to further expedite and facilitate the development of AI-powered
networks.

Biography

Hatem Abou-zeid is a
Senior 5G Systems Designer at Ericsson Canada where he drives research and
system development for 5G radio access networks. Prior to that he held
industrial positions at CISCO Systems and Bell Labs in addition to postdoctoral
and research assistant affiliations at Queen’s University, Canada. His research
focuses on the application of machine learning in 5G networks with particular
emphasis on anticipatory and adaptive algorithms drawing on methods from
reinforcement learning, spatio-temporal forecasting, deep learning and
stochastic optimization. Dr. Abou-zeid is very passionate about developing
strong industry-university collaborations that foster applied, innovative
research, and he leads multiple academic partnerships on intelligence and
analytics in future networks.

IEEE Ottawa Section Logo

© Copyright 2020 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.