Events

Jun
20
Thu
Fields-CQAM Public Lectures: What is missing from common practice in machine learning? @ Carleton University
Jun 20 @ 19:00 – 20:00

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 REGISTER HERE.

Jun
21
Fri
FIELDS CENTRE OF QUANTITATIVE MODELLING AND ANALYSIS: WORKSHOP ON Machine Learning in the Presence of Class Imbalance @ Residence Commons, Carleton University
Jun 21 @ 08:30 – 16:30
FIELDS CENTRE OF QUANTITATIVE MODELLING AND ANALYSIS: WORKSHOP ON Machine Learning in the Presence of Class Imbalance @ Residence Commons, Carleton University | Ottawa | Ontario | Canada

 

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
Abstract

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

 

Jul
17
Wed
An Evening with Power Integrity Experts @ Fidus Systems, Ottawa
Jul 17 @ 17:00 – 19:30

Speaker 1: Hisham Abed, P.Eng., Ericsson

Topic: Power Integrity – Best design practices

Speaker 2: Dr. Ihsan Erdin, Celestica

Topic: Power Integrity Optimization amidst MLCC shortage

Parking: Free

Registration:  Free, and is on a first to reply basis. Preference given to IEEE EMC and CPMT society members. Seating is limited. E-mail reservation is required.

Pizza and soft drinks will be served.

Organizer: Dr. Syed Bokhari, Chairman, IEEE Ottawa
EMC chapter

Syed.Bokhari@fidus.com,

Office :(613) 595 – 0507 Ext. 377, Cell: (613) 355 – 6632

 

Directions:    www.fidus.com

Oct
22
Tue
The Lightning Phenomenon @ 4124-ME (Meckenzie Building), Carleton University
Oct 22 @ 12:00 – 13:00

IEEE  Distinguished Lecturer Presentation hosted jointly by the IEEE Ottawa EMC and CASS/SSCS/EDS Chapters:

 

Speaker  :     Dr. Marcos Rubinstein, Professor, University of Applied Sciences of Western Switzerland

Topic    :     The Lightning Phenomenon

Date     :     Tuesday October 22, 2019

Time     :     12(noon) – 1pm

Location :     4124-ME (Meckenzie Building), Carleton University, 1125 Colonel By Drive, Ottawa – K1S5B6

 

Registration:  Free, Please E-mail Ram Achar (achar@doe.carleton.ca)

Refreshments: Served

 

Parking  : Payment based Metered Parking spots in the campus

 

Organizers:

               Ram Achar, Dept. of Electronics, Carleton University

               Chairman CASS/SSCS/EDS Chapters

               achar@doe.carleton.ca

               Dr. Syed Bokhari, Chairman, IEEE Ottawa EMC chapter

 

Abstract

Lightning is one of the primary causes of damage and malfunction of telecommunication and power networks and one of the leading causes of weather-related deaths and injuries.

Lightning is composed of numerous physical processes, of which only a few are visible to the naked eye.

This lecture presents various aspects of the lightning phenomenon, its main processes and the technologies that have been developed to assess the parameters that are important for engineering and scientific applications. These parameters include the channel-base current and its associated electromagnetic fields.

The measurement techniques for these parameters are intrinsically difficult due to the randomness of the phenomenon and to the harsh electromagnetic environment created by the lightning itself.

Besides the measurement of the lightning parameters, warning and insurance applications require the real-time detection and location of the lightning strike point. The main classical and emerging lightning detection and location techniques, including those used in currently available commercial lightning location systems will be described in the lecture. The newly proposed Electromagnetic Time Reversal technique, which has the potential to revolutionize lightning location will also be presented.

 

Biography

Marcos Rubinstein received the Master’s and Ph.D. degrees in electrical engineering from the University of Florida, Gainesville.

In the decade of the 1990’s, he worked as a research engineer at the Swiss Federal Institute of Technology, Lausanne and as a program manager at Swisscom in the areas of electromagnetic compatibility and lightning. Since 2001, he is a professor at the University of Applied Sciences of Western Switzerland HES-SO, Yverdon-les-Bains, where he is currently responsible for the advanced Communication Technologies Group. He is the author or coauthor of 300 scientific publications in reviewed journals and international conferences. He is also the coauthor of nine book chapters and the co-editor of a book on time reversal. He served as the Editor-in-Chief of the Open Atmospheric Science Journal, and currently serves as an Associate Editor of the IEEE Transactions on EMC.

Prof. Rubinstein received the best Master’s Thesis award from the University of Florida, the IEEE achievement award and he is a co-recipient of the NASA’s Recognition for Innovative Technological Work award. He also received the ICLP Karl Berger award. He is a Fellow of the IEEE and an EMP Fellow, a member of the Swiss Academy of Sciences and of the International Union of Radio Science.

Sep
16
Wed
Opportunities, Challenges and Implementation of Silicon Integration and Packaging in mmWave Radar and Communication Applications
Sep 16 @ 17:00 – 18:00
Opportunities, Challenges and Implementation of Silicon Integration and Packaging in mmWave Radar and Communication                Applications

IEEE Distinguished Lecturer Presentation hosted jointly by the OTTAWA EMC/CPMT/ED/CAS/SSCS/AP/MTT Chapters:

Speaker : Dr. Xiaoxiong Gu, IBM T.J. Watson Research Center, NY
Topic : Opportunities, Challenges and Implementation of Silicon Integration and Packaging in mmWave Radar and Communication Applications
Date : Wednesday September 16, 2020
Time : 5:00 PM to 6:00 PM EST
Location : Online via ZOOM
Registration: Free, and is on a first to reply basis. Preference given to IEEE EMC CPMT/ED/CAS/SSCS/APS/MTT society members. E-mail Reservation is required.

Organizer: Dr. Syed Bokhari, Chairman, IEEE Ottawa EMC chapter
Syed.Bokhari@fidus.com,
Office :(613) 595 – 0507 Ext. 377, Cell: (613) 355 – 6632

Abstract: Co-design and integration of RFIC, package, and antennas are critical to enable multiple aspects of 5G communications (backhaul, last mile, mobile access) and are particularly challenging at mmWave frequencies. This talk will cover various important aspects of mmWave antenna module packaging and integration for base station, backhaul, and user equipment applications, respectively, with particular emphasis on signal, power and EMC integrity. We will first present a historical perspective on Si-based mmWave modules and approaches for antenna and IC integration including trade-offs. We will focus on the challenges, implementation, and characterization of a 28-GHz phased-array module with 64 dual polarized antennas for 5G base station applications. Second, we will present a W-band phased-array module with 64-element dual-polarization antennas for radar imaging and backhaul application. The module consists of a multilayer
organic chip-carrier package and a 16-element phased-array TX IC or a 32- element RX IC chipset. Third, we will describe a compact, low-power, 60-GHz switched-beam transceiver module suitable for handset integration incorporating four antennas that support both normal and end-fire directions for a wide link spatial coverage. Detailed signal, power and EMC modeling and analysis of the modules and the system are presented.

Speaker Bio:

Xiaoxiong Gu received the Ph.D. in electrical engineering from the University of Washington, Seattle, USA, in 2006. He joined IBM Research as a Research Staff Member in January 2007. His research activities are focused on 5G radio access technologies, optoelectronic and mm-wave packaging, electrical designs, modeling and characterization of communication, imaging radar and computation systems. He has recently worked on antenna-in-package design and integration for mm-wave imaging and communication systems including Ka-band, V-band and Wband phased-array modules. He has also worked on 3D electrical packaging and signal/power integrity analysis for high-speed I/O subsystems including onchip and off-chip interconnects. He has been involved in developing novel TSV
and interposer technologies for heterogeneous system integration.

Dr. Gu has authored over 90 peer-reviewed publications, 2 book chapters and holds 9 issued patents. He was a co-recipient of IEEE ISSCC 2017 Lewis Winner Award for Outstanding Paper and IEEE JSSC 2017 Best Paper Award (the world’s first reported silicon-based 5G mmWave phased array antenna module operating at 28GHz). He was a co-recipient of the 2017 Pat Goldberg Memorial Award to
the best paper in computer science, electrical engineering, and mathematics published by IBM Research. He received IBM Outstanding Research Accomplishment in 2019 and Outstanding Technical Achievement Award in 2016, four IBM Plateau Invention Awards in 2012 ~ 2016, the IEEE EMC Symposium Best Paper Award in 2013, two SRC Mahboob Khan Outstanding Industry Liaison Awards in 2012 and
2014, the Best Conference Paper Award at IEEE EPEPS in 2011, IEC DesignCon Paper Awards in 2008 and 2010, the Best Interactive Session Paper Award at IEEE DATE in 2008, and the Best Session Paper Award at IEEE ECTC in 2007. Dr. Gu is the co-chair of Professional Interest Community (PIC) on Computer System Designs at IBM. He is a Senior Member of IEEE and has been serving on different
program committees for MTT-S, EPEPS, ECTC, EDAPS and DesignCon. Dr. Gu was the General Chair of IEEE EPEPS 2018 in San Jose, CA. He is also a Distinguished Lecturer for IEEE EMC Society in 2019-2020 and is currently an Associate Editor for IEEE Transactions on Component, Packaging and Manufacturing Technology.

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