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.
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 |
Presented by IEEE MTT-S Distinguished Microwave Lecturer (DML) Talks:
Transceiver Architectures for Beyond-5G: Challenges and R&D Opportunities, co-organized with SSC-S
By
Dr. Payam Heydari
University of California, Irvine
Date: Thursday, May 14 , 2020
Time: 12:00 PMÂ – 1 PM
Abstract:
The ongoing super-linear growth of world’s population coupled with the worldwide access to internet and the general public’s tendency to use more bandwidth-intensive applications fuel the urgency to enhance wireless infrastructures so as to meet these demands. Consequently, the wireless R&D is headed towards the inception of “Beyond-5G” (e.g., 6G) technology. This webinar provides a comprehensive overview of challenges and opportunities in designing beyond-5G transceiver architectures capable of achieving high data rates above and beyond 20 Gbps.Â
                                 Speaker Bio:
Payam Heydari received his Ph.D. degree from the University of Southern California in 2001. He is currently a Full Professor of Electrical Engineering at the University of California, Irvine. Dr. Heydari’s research covers the design of terahertz/millimeter-wave/RF and analog integrated circuits. He is the (co)-author of two books, one book chapter, and more than 150 journal and conference papers.Â
Dr. Heydari is an AdCom member of the IEEE Solid-State Circuits Society. Dr. Heydari currently serves an Associate Editor for the IEEE Journal of Solid-State Circuits and the IEEE Solid-State Circuits Letters. He was a member of the Technical Program Committee of the International Solid-State Circuits Conference (ISSCC). Dr. Heydari is an IEEE Fellow for contributions to silicon-based millimeter-wave integrated circuits and systems.
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        Event is free, but space is limited.  All participants must register in advance. For                         Registration: please use the following link
Presented by the IEEE Ottawa Section MTT-S/AP-S Chapter & Young ProfessionalsÂ
Accelerating 5G Design Innovation Through SimulationÂ
                                  By
Dr. Laila SalmanÂ
                               Ansys Inc.
                     Date: Wednesday, June 10, 2020
                        Time: 2:30 PM – 4:00 PM
                                  Location: Online
           Â
Abstract
5G connectivity is the next technological revolution. This pervasive, ultrafast compute network will connect billions of devices with data on-demand. It will drive economic expansion in many sectors, spawn new products and services, and transform our lives as we know it. Yet, before 5G can deliver on its promises and quality of service (QoS) metrics, wireless systems designers and engineers must overcome sizable challenges. Â
Ansys 5G simulation solutions empower these individuals to solve the complexities impeding device, network and data center design. Ansys 5G simulation solutions provide electromagnetics, semiconductor, electronics cooling and mechanical analysis tools to accurately simulate 5G radio and related technologies. The multi-solution platform leverages high-performance computing that can be deployed across the enterprise, allowing designers and engineering experts to collaborate more effectively.Â
This seminar will highlight the following 5G engineering challenges:Â
·  End User Equipment Â
  o  multi-frequency band antenna integrationÂ
  o   modeling of mm-wave array antennas Â
  o   RFI, EMI & Desense MitigationÂ
·  Base-Station Antenna ModelingÂ
  o  Full Communication Analysis in Electrically Large & Complex EnvironmentÂ
  o  RFI, Data Coverage & ElectroThermal ReliabilityÂ
Speaker Bio
Dr. Laila Salman received the B.S. and M.S. degrees in electronics and communication engineering from Cairo University, Egypt, and the PhD. Degree in electromagnetic and antenna design from the University of Mississippi. She also worked as a post-doctoral student at the Université de Quebec en Outaouais, Gatineau, Canada till 2010. Her research was on dielectric resonator antennas, wearable antennas, microwave and millimeter-wave circuits and systems, microwave imaging for early detection of breast cancer and scattering from left-handed metamaterials. Dr. Salman joined Ansys Canada Ltd. in August 2010 as a Lead Technical Services Specialist for High Frequency Applications.
Registration: Please use the link in the registration section to sign up for the event.
To join event use the following link.