Events
Fields-CQAM Public Lectures: Ali Ghodsi, University of Waterloo
What is missing from common practice in machine learning?
AI, and machine learning in particular, is enjoying its golden age. Machine learning has changed the face of the world over the past two decades but we are still a long way from achieving a general artificial intelligence. In this talk, I will discuss a couple of elements that I believe are missing from common practice in machine learning, including incorporating causality and creating a new framework for unsupervised learning.
Biography
Ali Ghodsi is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. His research involves statistical machine-learning methods. Ghodsi’s research spans a variety of areas in computational statistics. He studies theoretical frameworks and develops new machine learning algorithms for analyzing large-scale data sets, with applications to bioinformatics, data mining, pattern recognition, robotics, computer vision, and sequential decision making.
DATE:
THURSDAY, JUNE 20TH, 2019.
PRESENTATION
6:00 PM – 7:00 PM.
NETWORKING
7:00 PM – 8:00 PM.
LOCATION
HEALTH SCIENCE BUILDING, RM. 1301 (LOCATED ON THE GROUND FLOOR), CARLETON UNIVERSITY.
FREE ADMISSION FOR THIS PUBLIC LECTURE.
PLEASE REGISTERÂ HERE.
![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 |
![IEEE Young Professional Reception at the 2019 WiSEE Conference @ Sidedoor Restaurent | Ottawa | Ontario | Canada](https://www.ieeeottawa.ca/wp-content/uploads/2019/10/IEEE_WiSEE_YP_Reception_Poster-231x300.jpg)
Young Professionals Reception
During the 7th Annual IEEE International Conference on Wireless for Space and Extreme Environments (WISEEÂ 2019)
Wednesday, October 16th from 6:00 PM – 8:00 PM
Sidedoor Restaurant
18b York St, Ottawa, ON K1N 5T5
IEEE Ottawa Young Professionals (YPs) and IEEE WiSEE’2019 Organizing Committee invite all YPs in Ottawa and those attending the 2019 IEEE WiSEE Conference to join the Young Professionals Reception on Wednesday, October 16th, 2019 from 6:00 – 8:00 PM taking place at Sidedoor restaurant at 18b York St, Ottawa, K1N 5T5. Come ready to meet WiSEE Keynote Speakers, Industry intellects, and other Young Professionals, and learn about the different opportunities available through the IEEE and the Young Professionals Program.
The IEEE Young Professionals Program is aimed at supporting IEEE members at an early stage in their career, up to 15 years after their first degree, by helping them evaluate their career goals, polish their professional image, and create building blocks of a lifelong and diverse professional network.
IEEE_WiSEE_YP_Reception_Poster
![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.
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