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 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.

Arduinos, 3D printing, Lego Mindstorms and displays, submarine
robots, and AI, where can you find all this? All of this and MUCH MORE will be at the IEEE Ottawa Robotics
Competition (ORC), Ottawa’s largest robotics competition for grade 5 to 12
students. The ORC is taking place on Sunday,
June 2^nd at Earl of March
Secondary School. Best times to show up are between 10:30 am to 12:30 pm and 1:30 pm to 4 pm. The ORC is completely
open to the public, so invite your friends and family too!

Check out previous competitions at https://youtube.com/user/ieeeorc/videos.

If you have any questions, please feel free to email us at orcinfo@ieeeottawa.ca.

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

Application of
Deep Learning for Medical Image Analysis

Fatemeh Zabihollahy

Carleton University

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Wednesday, June 26, 2019

359 Terry Fox Drive, Suite 200, Kanata, Ontario

11:30 – 13:30

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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.

Biography

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
analysis.

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Event
is free, but space is limited.  All
participants must register in advance.   

Please
follow the link to register

https://ieeeottawaaiml2019jun26.eventbrite.ca

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For more information, please contact: Kexing Liu kexing.liu@ieee.org

GNSS
Antennas for Autonomous Vehicles:

What You Need to Know!

 

Precise
and reliable positioning recently became a critical property of autonomous
vehicles like drones, driverless cars and more. Tallysman Wireless will explain
why the GNSS antenna is the most important component for accurate positioning
and will present the challenges of selecting the appropriate GNSS antenna for
diverse types of autonomous vehicles. Multiple properties of a GNSS antenna
like its phase center variation, ability to reject interferences or multipath
and sensibility to its environment will be analysed and guide lines will be
proposed.

 

Refreshments will be served!

Location: 4359 Mackenzie Building, Carleton University.

Map: https://carleton.ca/campus/map/

Time: 6:00 – 7:00 PM

Date: July 17^th , 2019

^ 

BIOGRAPHY:

Julien
Hautcoeur received the M.Sc. degree in radio communication systems and
electronics from the Ecole Polytechnique of the University of Nantes, Nantes,
France, in 2007 and the Ph.D. degree in signal processing and
telecommunications from the Institute of Electronics and Telecommunications of
Rennes 1, Rennes, France, in 2011. In 2011, he was involved in postdoctoral
training at the University of Quebec in Outaouais (UQO), Gatineau, QC, Canada.
His research field was optically transparent antenna systems for telecommunications.
Since 2014 he works at Tallysman Wireless in Ottawa, Canada and specialized in
the design of high performance GNSS antennas and associated electronics.

ABSTRACT:

Over 250 million people in the world are blind or visually impaired. But 75% of visual impairment can be treated or entirely prevented if detected early, monitored effectively, and treated promptly. Various retinal imaging instruments have been developed to assist the screening, diagnosing and monitoring of vision critical eye diseases. These instruments range from traditional ophthalmoscope to digital fundus camera; from ocular tomography (OCT) to laser scanning ophthalmoscope. In this presentation the speaker will attempt to explain the principle of retinal imaging; give an overview on the advances in retinal imaging; and discuss the opportunities for innovation in vision care and retinal imaging.

SPEAKER:

Dr Kexing Liu is the president and CEO of OcuXcel Corporation, a technology company based in Kanata, Ontario, dedicated to providing advanced technology solutions and developing new products from a global tech workforce for ophthalmology and vision health. Kexing received his Ph.D. degree from University of Manchester (UMIST), UK. One of his first professional and technology contribution was in pioneering the integration and qualification of GPS navigation technology into the on-board flight management systems for civil aviation as a project leader at CMC Electronique, Montreal. Later he joined a start-up called Cambrian Systems Corporation, Kanata, He was one of the the principal architects for the world’s first metro DWDM system product – OPTera (OM5K) at Cambrian. The company was later acquired by Nortel Networks. The OM5K as an extremely profitable line of product has generated over US$3 billion revenue for Nortel (now Ciena) since the acquisition. Later on, Kexing had an opportunity to serve as the principal of Mira Connections, a consulting business helping medical device companies on systems engineering and management issues. Most recently Kexing has architected multispectral digital ophthalmoscope for retinal health screening. Kexing has published more than 30 scientific papers on fiber optics and photonics. He is inventor/co-inventor for 17 granted patents ranging from photonics, optical communications systems, control systems engineering, and ophthalmology instruments. Kexing is a senior member of IEEE and is currently serving as the chair of an IEEE Canada committee responsible for outreach.

This event is organized by IEEE WIE and sponsored by IEEE Photonics Society – Ottawa Section!!