Algonquin College – School of Advanced Technology
MORE THAN 40 PART-TIME FACULTY POSITIONS AVAILABLE
SATURDAY, MAY 25, 2019
9am to 1pm
Join the learner-driven workforce of one of the National Capital Region’s Top Employers.
Enjoy a career you can be proud of by helping our learners become the leaders of tomorrow. We are looking for part-time faculty members in the following programs:
• Aviation Management – General Arts and Science
• Computer Engineering Technology – Computing Science
• Electro-Mechanical Engineering Technician
• Manufacturing Engineering Technician
• Mechanical Engineering Technology
• Computer Programmer
• Computer Systems Technician
• Computer Systems Technology – Security
• Bachelor of Information Technology – Network Technology
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|
Abstract – Application of power electronics is widespread in everyday
life. Some applications are considered as “nice to have it;” in other cases,
they are essential. This presentation discusses a wide variety of daily-used
applications around the world. Also covered is an advanced topic, such as SMART
Controller that today’s grid requires for voltage regulation, power factor
regulation, unbalance voltage/current regulation, harmonic elimination and so
on. A SMART Controller that is based on functional requirements and
cost-effective solutions is derived from utilizing the best features of all the
technical concepts that are developed until now. Final year students of
electrical engineering undergraduate curriculum, post graduate students,
researchers, academicians and utility engineers will benefit from attending
this course. The participants will hear from an expert who actually designed
and commissioned a few utility-grade SMART controllers since their inception in
Kalyan Sen, a
Fulbright Scholar, is the Chief Technology Officer of Sen Engineering
Solutions, Inc. (www.sentransformer.com) that specializes in
developing SMART power flow controllers—a functional requirements-based and
cost-effective solution. He received
MSEE, and PhD degrees, all in Electrical Engineering, from Jadavpur University,
India, Tuskegee University, USA, and Worcester Polytechnic Institute, USA,
respectively. He also received an MBA from Robert Morris University, USA.
Sen spent more than 30 years in academia and industry and became a Westinghouse
Fellow Engineer. He was a key member of the Flexible Alternating Current
Transmission Systems (FACTS) development team at the Westinghouse Science &
Technology Center in Pittsburgh. He contributed in all aspects (conception,
simulation, design, and commissioning) of FACTS projects at Westinghouse. He
conceived some of the basic concepts in FACTS technology. He has authored or
coauthored more than 25 peer-reviewed publications, 8 issued patents, a book
and 4 book chapters in the areas of FACTS and power electronics. He is the
coauthor of the book titled, Introduction
to FACTS Controllers: Theory, Modeling, and Applications, IEEE Press and
John Wiley & Sons, Inc. 2009, which is also published in Chinese and Indian
paperback editions. He is the co-inventor of Sen Transformer.