Ottawa Life Member Affinity Group presents: Ottawa L5, the first integrated Connected & Autonomous Vehicle (CAV) test environment in North America.

The Ottawa L5 private test track is a 1,866 acre, fenced and gated private facility with 16 kilometres of paved roads. The largest secure test facility for CAVs in Canada, the Ottawa L5 private test track creates an ideal proving ground for the safe and productive pre-commercial development, testing, validation and demonstration of CAV technologies. The Ottawa L5 testing facilities are equipped with GPS (RTK), dedicated short range communications (DSRC), Wi-Fi, 4G/LTE and 5G telecommunications and networking infrastructure, making it the first integrated CAV test environment of its kind in North America. Find more information at: https://www.investottawa.ca/ottawal5

Tour will last about an hour involving a walk around the site and a group discussion of various technical aspects of the L5 facility. An additional treat is the possibility of an autonomous shuttle ride at the site for some attendees.

Please register in advance with wolfram.lunscher@ieee.org by Friday October 11. Priority will be given to Life members. All members and family are welcome. There is an online liability waiver to be signed. The link will be provided to registrants.

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 Seminar Series on AI and Machine Learning: AI-Driven 5G Networks & Beyond

By Hatem Abou-Zeid, Ericsson Canada

IEEE Ottawa Seminar Series on AI and Machine Learning

Presented by IEEE Ottawa CS Chapter, ComSoc Chapter, and SP Chapter, jointly with Vitesse- Reskilling

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: 5G for Smart Everything: From Smart Meters to the New Power Grid. What is needed to get there ?

Speaker: Akshay Sharma, Executive Research Fellow, neXtCurve: www.next-curve.com

Date/Time: Tuesday, November 12, 2019, from 2 – 3 pm.

Admission: Free, but registration is required for security purposes. Please contact by e-mail: branislav @ieee.org or ajit.pardasani@ieee.org.

Abstract: This talk discusses how 5G with Edge Computing, and Ultra-low latency (sub-5ms) with Gigabit speed bandwidth will be a game changer with Smart Meters and a new Electric Grid can be enabled with Smart Lamposts. As we transition to DevOps, AIOps, newer Closed Loop Automation systems will occur. As we connect AI-powered Virtual Personal Assistants to IoT devices in the home, now we have to imagine the entire macro-infrastructures being all hyper-connected. What is needed to get there will be discussed at the seminar.

 

Speaker’s Bio: Akshay Sharma is originally from Ottawa, B. Eng Computer Systems Engineering from Carleton, a tech analyst, formerly from Gartner, having authored or co-authored over 280 research notes, on emerging technologies like SD-WAN, 5G, mobile video, cloud CDN, IoT, etc. in the past decade. A frequent speaker at tech events, he is often quoted in leading institutions like CNN, Wall St. Journal, etc. He is a former CTO of one of the first video/WiFi smartphone firms, former Chief Architect at Siemens Mobile, and has been given awards by the NJ IEEE Chapter on talks he gave on 5G and Cybersecurity. He is on the tech advisory board for 5G and DevOps startups: LB-N, Kovair, along with others. Mr Sharma’s recent publications include: Search Results for “akshay” – neXt Curve

The Canadian Space Society’s annual Space Summit is Canada’s leading conference devoted to space science, research and technology. With an annual attendance that is continually growing, the Summit brings together space professionals from industry, academia, government and enthusiasts from all walks of life. The Canadian Space Summit is THE place to learn about the latest trends, technologies and political issues taking place in the space industry. With sessions on everything from astronomy,satellites, medicine and law and policy, the Canadian Space Summit touches upon every facet affecting Canada’s space industry!

This year’s theme: From LEO to Lunar.

Volunteers will be needed. An excellent opportunity for graduate students pursuing space technology. Contact Wolfram Lunscher LSM-IEEE.