Events
![FIELDS CENTRE OF QUANTITATIVE MODELLING AND ANALYSIS: WORKSHOP ON Machine Learning in the Presence of Class Imbalance @ Residence Commons, Carleton University | Ottawa | Ontario | Canada](https://www.ieeeottawa.ca/wp-content/uploads/2019/05/PELS-Day-300x209.jpg)
8:30 am – 9:00 am | Registration | ||
---|---|---|---|
9:00 am – 9:15 am | Opening Remarks | Rafik Goubran | Carleton University |
9:15 am – 10:00 am | Keynote Presentation:
Data Mining and Machine Learning for Authorship and Malware Analyses |
Benjamin C. M. Fung Biography |
McGill University |
10:00 am – 10:30 am | Break | ||
10:30 am – 11:45 am | Cybersecurity: Top 5 class imbalance ML challenges and data sets Abstract |
Stephan Jou Biography |
Interset |
Class Imbalance in Fraud Detection Abstract |
Robin Grosset Biography |
MindBridge Analytics Inc. | |
Handling class imbalance in natural language processing Abstract |
Isuru Gunasekara Biography |
IMRSV Data Labs | |
11:45 am – 12:45 pm | Lunch | ||
12:30 pm – 2:10 pm | Adaptive learning with class imbalanced streams Abstract |
Herna L. Viktor Biography |
University of Ottawa |
Radar-based fall monitoring using deep learning Abstract |
Hamidreza Sadreazami Biography |
McGill University | |
Privacy-preserving data augmentation in medical text analysis Abstract |
Isar Nejadgholi Biography |
National Research Council | |
Failure modelling of a propulsion subsystem: unsupervised and semi-supervised approaches to anomaly detection Abstract |
Julio J. Valdés Biography |
National Research Council | |
2:10 pm – 2:25 pm | Break | ||
2:25 pm – 3:40 pm | TBD | Reddy Nellipudi | DB Schenker |
AuditMap.ai: Hierarchical Sentence Classification in Unstructured Audit Reports Abstract |
Daniel Shapiro Biography |
Lemay.ai | |
Deep Learning techniques for unsupervised anomaly detection Abstract |
Dušan Sovilj Biography |
RANK Software Inc. | |
3:40 pm – 3:50 pm | Closing Remarks |
Advanced Optical Sources for Spectrally Efficient Photonic Systems
Liam Barry,
Dublin City University
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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.
![Ottawa L5 Autonomous Vehicle Test Track Tour @ NCC Greenbelt Research Farm | Ottawa | Ontario | Canada](https://www.ieeeottawa.ca/wp-content/uploads/2019/09/L5_track-300x172.png)
Ottawa Life Member Affinity Group presents:Â 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:Â 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-zeidÂ
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.
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:Â 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.
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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