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Archive for the ‘Women in Engineering’ Category

Setting in with Programming – Python – Workshop 3

Saturday, July 27th, 2019

Monday November 11th, 2019 at 1:30 p.m. Enas Tarawneh will be presenting a Python workshop, “Setting in with Programming – Workshop 3”.

Day & Time: Monday November 11th, 2019
1:30 p.m. – 3:30 p.m.

Speaker: Enas Tarawneh

Organizers: IEEE WIE, WICSE

Location: Lassonde Building (LAS-3033)

Contact: Hina Tabassum

Pre-requisites: Workshop 1 and 2

Registration Link: http://bit.ly/2OiCSPO

Snacks will be served.

Workshop Description: This workshop will cover (1) creating ROS processing nodes (includes creating classes, functions) (2) passing messages between nodes (includes abstracting the problem) (3) capture the images from the webcam and (4) apply different image processing in separate nodes and display continuous processing results.

Note: Bring your own laptop with a python installation (2.7, 3.3-3.6) and Speech Recognition Package installation. Installation guidelines will be sent to registered attendees.

Biography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this, Enas worked as an academic Lead, instructor and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly Enas, is a wife and mother of three, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.

Setting in with Programming – Python – Workshop 2

Saturday, July 27th, 2019

Monday October 7th, 2019 at 1:30 p.m. Enas Tarawneh will be presenting a Python workshop, “Setting in with Programming – Workshop 2”.

Day & Time: Monday October 7th, 2019
1:30 p.m. – 3:30 p.m.

Speaker: Enas Tarawneh

Organizers: IEEE WIE, WICSE

Location: Lassonde Building (LAS-3033)

Contact: Hina Tabassum

Pre-requisites: Workshop 1

Registration Link: http://bit.ly/2Y171HP

Snacks will be served.

Workshop Description: This workshop will cover the (1) use and application of existing packages (2) file manipulation (3) GUI input/output (4) speech recognition package (5) use microphone or file for input (6) output audio capture result through play or file (7) output text result through terminal and GUI.

Note: Bring your own laptop with a python installation (2.7, 3.3-3.6) and Speech Recognition Package installation. Installation guidelines will be sent to registered attendees.

Biography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this, Enas worked as an academic Lead, instructor and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly Enas, is a wife and mother of three, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.

Setting in with Programming – Python – Workshop 1

Saturday, July 27th, 2019

Monday September 16th, 2019 at 1:30 p.m. Enas Tarawneh will be presenting a Python workshop, “Setting in with Programming”.

Day & Time: Monday September 16th, 2019
1:30 p.m. – 3:30 p.m.

Speaker: Enas Tarawneh

Organizers: IEEE WIE, WICSE

Location: Lassonde Building (LAS-3033)

Contact: Hina Tabassum

Registration Link: http://bit.ly/2y9bKaY

Snacks will be served.

Workshop Description: Beginner lesson (assumes no knowledge in programming). This workshop will cover (1) input/output, (2) variables (3) numbers (4) string (5) lists /arrays (6) if-else (7) loops

Note: Bring your own laptop with a python installation (2.7, 3.3-3.6) and Speech Recognition Package installation. Installation guidelines will be sent to registered attendees.

Biography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this, Enas worked as an academic Lead, instructor and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly Enas, is a wife and mother of three, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.

IEEE Toronto Centennial Workshop: Distributed Machine Learning, The Second Step

Monday, July 15th, 2019

Tuesday July 30th, 2019 at 2:30 p.m. Reza Dibaj, Chair of Magnetics Chapter in the IEEE Toronto Section, will be presenting “IEEE Toronto Centennial Workshop: Distributed Machine Learning, The Second Step”.

Day & Time: Tuesday July 30th, 2019
2:30 p.m. ‐ 3:30 p.m.

Speaker: Reza Dibaj
Chair of Magnetics Chapter, IEEE Toronto Section

Organizers: Magnetics Chapter, IEEE Toronto Centennial College Chapter, WIE IEEE Toronto

Location: Room B3-09
Centennial College, Progress Campus
941 Progress Ave., Toronto, Ontario, M1G 3T8

Contact: Reza Dibaj

Abstract: At the beginning of the workshop, we quickly recap what we did in the previous session and knowing more about the definition of good features in our datasets. To continue our journey that we have started in the previous workshop, we will dive deeper into ML by applying our Decision Tree algorithm on a classical iris dataset. We will thoroughly practice training and testing data, using a step-by-step hands-on. Finally, we will use visualization tools to show what is happening under the hood in a decision tree and how it works as one of the most interpretable algorithms in ML.

IEEE Toronto Centennial Workshop: Distributed Machine Learning, Basic Concepts

Monday, July 15th, 2019

Tuesday July 23rd, 2019 at 2:30 p.m. Reza Dibaj, Chair of Magnetics Chapter in the IEEE Toronto Section, will be presenting “IEEE Toronto Centennial Workshop: Distributed Machine Learning, Basic Concepts”.

Day & Time: Tuesday July 23rd, 2019
2:30 p.m. ‐ 3:30 p.m.

Speaker: Reza Dibaj
Chair of Magnetics Chapter, IEEE Toronto Section

Organizers: Magnetics Chapter, IEEE Toronto Centennial College Chapter, WIE IEEE Toronto

Location: Room B3-09
Centennial College, Progress Campus
941 Progress Ave., Toronto, Ontario, M1G 3T8

Contact: Reza Dibaj

Abstract: Machine Learning is an indispensable part of data science and there is no need to have a thorough programming background to benefit from it. Machine Learning (ML) and statistical techniques have provided a new era that enables us to convert the data to information, and transform the information into actionable knowledge. SciKit and TensorFlow are two states of the art libraries that can be used in Python and this seminar will open the gate to know their bases. The first seminar is about “Hello World!” Machine Learning program, using python language and SciKit learn library.

Data Mining and Machine Learning with Application to Medical Data

Monday, July 1st, 2019

Wednesday July 17th, 2019 at 12:15 p.m. Prof. Steven Wang, Professor in Statistics at York University, will be presenting “Data Mining and Machine Learning with Application to Medical Data”.

Day & Time: Wednesday July 17th, 2019
12:15 p.m. ‐ 1:15 p.m.

Speaker: Prof. Steven Wang
Professor in Statistics
Department of Mathematics and Statistics York University

Organizers: IEEE Toronto Robotics, IEEE Toronto WIE, EMB, UHN

Location: TRI-UC, Basement Lecture theatre
550 University Ave., Toronto, M5G 2A2

GoToMeeting: https://global.gotomeeting.com/join/435099981

Contact: Prof. Azadeh Yadollahi

Abstract: In this talk, we will discuss some applications of data mining and machine learning to medical data. We will discuss a variety of topics: genetic analysis, signal processing method for ECG and EEG, personalized medicine, autoimmune disease and human microbiome analysis. We will also share our experience on data including issues related to data cleaning and missing values.

Biography: Dr. Steven Wang is a professor in Statistics at the Department of Mathematics and Statistics. He received his Ph.D. in Statistics from the University of British Columbia in 2001 and did one year Postdoc on Data Mining at the Pacific Institute of Mathematical Sciences. He joined York University in 2002 and currently a full professor in Statistics. His research included statistical theory, data mining, optimization and machine learning. With his co-inventors, he has applied a Canadian and US patent for deep learning method. In the past 10 years, his research is focused on machine learning and medical data.

Poster: See Poster

The WOW Dinner Toronto 2019

Monday, May 20th, 2019

The WOW Dinner is the world’s leading #womenintech dinner promoting diversity & inclusion in tech and related industries. The inspirational global series of networking events coming to Toronto on May 21, 2019 at the Gladstone Hotel, and coincides with the Collision Conference held just blocks away. The event welcomes people of all genders and orientation. Expect an evening of great conversation with a vibrant group and an eclectic mix of innovators, amazing food and inspiring speakers!

Day & Time: Tuesday May 21st, 2019
5:30 p.m. ‐ 8:00 p.m.

Organizers: Newhaus Communications, Green Capulet, IEEE Toronto WIE

Price: All IEEE members can get tickets for $50.

Register: https://www.eventbrite.ca/e/the-wow-dinner-toronto-for-women-in-tech-tickets-59334500087

Location: The Gladstone Hotel

Assessment of Egocentric Spatial Orientation using Virtual Reality for Diagnosis and Monitoring Alzheimer’s Disease

Saturday, May 11th, 2019

Friday May 24th, 2019 at 12:15 p.m. Prof. Zahra Moussavi, Director of the Biomedical Engineering Program at University of Manitoba and Canada Research Chair, will be presenting “Assessment of Egocentric Spatial Orientation using Virtual Reality for Diagnosis and Monitoring Alzheimer’s Disease”.

Day & Time: Friday May 24th, 2019
12:15 p.m. ‐ 1:15 p.m.

Speaker: Zahra Moussavi
Director of the Biomedical Engineering Program
Professor & Canada Research Chair
Department of Electrical & Computer Engineering
University of Manitoba

Organizers: IEEE Toronto WIE, IEEE Toronto, IEEE Toronto Engineering in Medicine and Biology Chapter, UHN

Location: TRI-UC, Basement Lecture Theatre
550 University Ave., Toronto, M5G 2A2

GoToMeeting: https://global.gotomeeting.com/join/543203653

Contact: Dr. Maryam Davoudpour

Abstract: Memory and cognitive declines are associated with normal brain aging but are also precursors to dementia, in particular the so called the pandemic of the century, Alzheimer’s disease. While currently there is no cure or “vaccine” against dementia, based on brain’s plasticity, there are hopes to delay the onset or to slow the progression of disease.

Alzheimer’s disease is multi-facet condition; thus, the key to its management is in multi- disciplinary approaches. The clinical diagnosis of neurodegenerative disorders, in general, is based on an extensive evaluation of cognition and behavioral performance along with functional status, which provides a variable grade of accuracy especially at early stages of the disease. In this talk, I will review diagnostic objective methods that can assist Alzheimer’s diagnosis. In particular, I will elaborate on the application and research outcomes of virtual reality egocentric spatial assessment for and its potentials for a differential diagnosis of Alzheimer’s versus other types of dementia.

Biography: Zahra Moussavi is a professor, a Canada Research Chair, and the founder and director of Biomedical Engineering Graduate Program at University of Manitoba. Her current research focuses are on medical devices instrumentation and signal analysis for sleep apnea management and Alzheimer’s diagnosis and treatment using virtual reality, rTMS and EVestG technologies. She is the recipient of several awards including the “Canada’s Most Powerful Women (Top 100)” and “Manitoba Distinguished Women” in 2014 and IEEE EMBS Distinguished Lecturer, 2014 and 2019. She has published more than 259 peer-reviewed papers in journals and conferences, and has given 94 invited talks/seminars including 2 Tedx Talks and 9 keynote speaker seminars at national and international conferences. Aside from academic work, on her spare time, she writes science articles for public; also has developed and offered memory fitness programs for aging population.

Poster Link: Click here

FICI International Competition of clean tech, high tech and smart cities

Monday, March 18th, 2019

Day & Time: Sunday March 17th, 2019
12:00 p.m. ‐ 4:00 p.m.

Organizers: IEEE Toronto WIE

Location: Apple and Beeton Hall
Reference Library, Toronto

Introduction of Industrial Networks and Fieldbus

Saturday, February 23rd, 2019

This Thursday, February 21st, from 12:00 until 2:00 pm, we will be having a special session on Introducing Industrial Networks and Fieldbus. This session will be lead by Professor Keyvan Ghazaie Alamdari.

Day & Time: Thursday February 21st, 2019
12:00 p.m. ‐ 2:00 p.m.

Speakers: Keyvan Ghazaie Alamdari
Humber College Professor

Organizers: IEEE Toronto WIE, Humber Student Branch

Location: Humber College North Campus, Room J235B

Contact: IEEE Humber