Events
![Technical Talk: Recent Results and Open Problems in Evolutionary Multiobjective Optimization @ Colonel By (CBY), Room A-707, University of Ottawa | Ottawa | Ontario | Canada](https://www.ieeeottawa.ca/wp-content/uploads/2019/05/posterMay30-2019_v1-300x225.jpg)
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 Sciencesâ€. 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.
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 Canada Technology Leadership Monthly Webinar
Speaker: Alan R. Emery, Founder, The Stable Climate Group
Topic: Net Zero 2050? Canada’s Options in a Human-Caused Hot World
Registration Link: https://events.vtools.ieee.org/m/249205
Flyer/PDF: The-2020-IEEE-Canada-Technology-Leadership-Webinar-Series-VII
Summary
The sources of human-caused global warming will be presented briefly followed by overwhelming evidence that global warming is real and dangerous.  The speaker will position Canada in a global hot world context. Next, a synopsis of the scale required to get to net zero 2050 and the psychology of global fossil fuel “addiction†will be discussed.  A broad series of what could be excellent options for an innovative future Canada to lead the world by example with a focus on engineering opportunities combined with social and economic requirements will be outlined. Finally, the more probable trajectory for Canada and the world given the current Canadian and world governance in a predatory capitalistic world will be presented.  Even in this dangerous future probability, Canada has many favourable options, if it plans carefully.
Biography
Alan received his BSc. from the University of Toronto; MSc. from McGill University; and PhD from Cornell University and University of Miami. His scientific specialty is ecology and evolution with a focus on marine sciences. He pioneered in direct observation
underwater at night on coral reefs and in fresh water. He was among the first to dive under the ice in the Arctic. He has led expeditions to the Arctic, Atlantic, Pacific and Indian Oceans. He was a research scientist with the Fisheries Research Board of Canada, the Ministry of Natural Resources in Ontario, professor at the University of Toronto, Curator and Sciences Coordinator at the Royal Ontario Museum, President of the Canadian Museum of Nature, and has been the governor, president, or director of many scientific organizations. When his brother fell terminally ill, Alan brought his engineering company back to a profitable position to be sold by his brother’s family.
He has published nearly 100 scientific, technical, and popular articles and books spanning subjects from marine biology to the management of academic organizations. He has appeared on hundreds of radio and television interviews and has been the subject of, technical advisor for, or written over 150 television shows for CTV, Discovery, and the CBC.
As part of his work with indigenous people, he prepared policy papers for Canada, the World Bank and the UN. In addition, he has worked as a consultant with the Canadian Nuclear Waste Management Organization almost since its inception.
Recently, Alan has moved his primary attention from global biodiversity loss to the solution of human-caused global warming. In 2015, he initiated and is now leading an international group of scientists and engineers to help solve the global warming problems: The Stable Climate Group.