You are invited to the technical talk entitled
Recent Results and Open Problems in Evolutionary Multiobjective Optimization
Thursday May 30th, 2019
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
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
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.
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.
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.
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.
THURSDAY, JUNE 20TH, 2019.
6:00 PM – 7:00 PM.
7:00 PM – 8:00 PM.
HEALTH SCIENCE BUILDING, RM. 1301 (LOCATED ON THE GROUND FLOOR), CARLETON UNIVERSITY.
FREE ADMISSION FOR THIS PUBLIC LECTURE.
PLEASE REGISTER HERE.
|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
|10:00 am – 10:30 am||Break|
|10:30 am – 11:45 am||Cybersecurity: Top 5 class imbalance ML challenges and data sets
|Class Imbalance in Fraud Detection
|MindBridge Analytics Inc.|
|Handling class imbalance in natural language processing
|IMRSV Data Labs|
|11:45 am – 12:45 pm||Lunch|
|12:30 pm – 2:10 pm||Adaptive learning with class imbalanced streams
|Herna L. Viktor
|University of Ottawa|
|Radar-based fall monitoring using deep learning
|Privacy-preserving data augmentation in medical text analysis
|National Research Council|
|Failure modelling of a propulsion subsystem: unsupervised and semi-supervised approaches to anomaly detection
|Julio J. Valdés
|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
|Deep Learning techniques for unsupervised anomaly detection
|RANK Software Inc.|
|3:40 pm – 3:50 pm||Closing Remarks|
IEEE Ottawa Seminar Series on AI and Machine Learning
Hosted by IEEE Ottawa PHO Chapter, EMBS Chapter, CS Chapter, and SP Chapter Jointly with Vitesse Reskilling
Deep Learning for Medical Image Analysis
Wednesday, June 26, 2019
359 Terry Fox Drive, Suite 200, Kanata, Ontario
11:30 – 13:30
Medical imaging, (e.g., computed tomography (CT), magnetic resonance
imaging (MRI), positron emission tomography (PET), mammography, ultrasound,
X-ray) has advanced at a rapid speed over last decades. Currently, the medical
image interpretation is mostly performed by human experts, which is a tedious
task and subject to high inter-operator variability. Deep learning is providing
exciting solutions for medical image analysis problems. Recent advances in deep
learning have helped to identify, classify, and quantify patterns in medical
images. In this seminar, we introduce the principles and methods of deep
learning concepts, particularly convolutional neural network (CNN). We show how
CNN operates. I will describe several interesting applications of deep learning
for medical image analysis, including my recent works on segmenting myocardial
scar (injured) tissue in the heart, prostate tumor detection, and kidney lesion
localization in 3D MRI and CT images.
Fatemeh Zabihollahy is currently
a Ph.D. candidate at Carleton University. She obtained her MASc (2016) and BASc
(2001) both in Biomedical Engineering from Carleton University, Canada and
Shahid Beheshti University, Iran, respectively. She worked in the medical
devices industry as an R&D engineer for ten years. Her research interest is
in the field of application of deep learning techniques for medical image
is free, but space is limited. All
participants must register in advance.
follow the link to register
For more information, please contact: Kexing Liu firstname.lastname@example.org
The Ottawa Section of the Institute of Electrical and Electronics Engineers (IEEE) and the Canada Aviation and Space Museum cordially invite you to:
The dedication of the IEEE engineering milestone “First Search and Rescue Using Satellite Technology, 1982”
Join us at the museum for this special event, where we will also celebrate space-related technical achievements as part of the commemoration of the fiftieth anniversary of humans landing on the Moon.
The keynote speaker at the dedication ceremony is renowned Canadian astronaut, Dr. Robert Thirsk. Special guests include IEEE President, Dr. José Moura, and IEEE Canada President, Dr. Maike Luiken.
A dedication and unveiling ceremony for two plaques (English and French), recognizing the historical significance of this satellite technology application.
Monday, September 9, 2019 at 2 p.m.
The grounds of the Canada Aviation and Space Museum, 11 Aviation Parkway, Ottawa, ON.
2 p.m. – 2:45 p.m.:
- Opening remarks and welcome by IEEE Ottawa Section Chair, Dr. Winnie Ye, and IEEE History Committee Chair, Dr. Branislav Djokic
- Welcome address by the Director General of the Canada Aviation and Space Museum, Mr. Chris Kitzan
- Historical perspective on this IEEE milestone by Dr. Michael A. Stott
- Welcome address by IEEE Canada President, Dr. Maike Luiken, and IEEE President, Dr. José Moura
- Keynote speech by Dr. Robert Thirsk
- Unveiling of the plaques by Dr. Robert Thirsk
- Closing remarks by IEEE Ottawa Section Vice-Chair, Mr. Ajit Pardasani
2:45 p.m. – 3:30 p.m.:
- Light refreshments and networking
Ajit Pardasani at Ajit.Pardasani@ieee.org by September 3, 2019.