Women in Engineering

Events

Events Search and Views Navigation

Event Views Navigation

Today

  • The Wow Dinner Toronto 2019

    Gladstone Hotel, 1214 Queen St W, Toronto, ON M6J 1J6, Canada

    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

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

    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

  • Data Mining and Machine Learning with Application to Medical Data

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

    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

  • IEEE Toronto Centennial Workshop: Distributed Machine Learning, Basic Concepts

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

    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.

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

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

    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.

  • Setting in with Programming – Python – Workshop 1

    Lassonde Building, Ottawa Rd, Toronto, ON M3J 1P3, Canada

    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.

  • Setting in with Programming – Python – Workshop 2

    Lassonde Building, Ottawa Rd, Toronto, ON M3J 1P3, Canada

    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.

  • Wireless Positioning and Sensing Network (WPSN™) for Hyper-Accurate Indoor & Outdoor Location Tracking System with Applications in the Critical and Massive IoT

    Progress Campus 941 Progress Ave, Scarborough, ON M1G 3T8 Room L1-12

    Tuesday October 8th, 2019 at 3:00 p.m. Peyman Moeini, B. Eng., MASc, PMP, P.Eng., will be presenting “Wireless Positioning and Sensing Network (WPSN™) for Hyper-Accurate Indoor & Outdoor Location Tracking System with Applications in the Critical and Massive IoT”. Day & Time: Tuesday, October 8, 2019 3:00 p.m. ‐ 4:00 p.m. Speaker: Peyman Moeini, B. Eng., MASc, PMP, P.Eng. Founder and CEO of Peytec Organizers: IEEE Toronto Instrumentation & Measurement Chapter, Women in Engineering Location: Progress Campus 941 Progress Ave, Scarborough, ON M1G 3T8 Room L1-12 Contact: Dr. Maryam Davoudpour Abstract: Wireless Sensor Networks (WSN’s) are the building blocks of Internet-of-Things (IoT) and Industrial IoT in the physical layer; however, they lack a fundamental aspect; WSN’s are not designed to be located. There has been several research papers published that addresses the addition of localization capability in various Wireless Sensor Networks such as Zigbee, BLE’s, LoRa modules, and NB-IoT. In virtually all of the mentioned networks, by adding the localization capability other network and tags advantages such as latency, battery life, scalability, and reliability will be negatively affected; in addition, the localization accuracy obtained would vary significantly depending on the sample rate and method of localization. Most localization methodologies used to locate the position of a moving tag with the mentioned WSN’s utilize Received Signal Strength (RSSI) which is a range free methodology which often has poor localization accuracy and it is not repeatable nor reliable. To address this problem a groundbreaking Wireless Positioning and Sensing Network (WPSN™) is designed developed where not only a localization accuracy of 10 cm is maintained but also latency, reliability, scalability, and battery life of the tags are not sacrificed to maintain and sustain the 10 cm localization accuracy. Biography: Peyman Moeini, B. Eng., MASc, PMP, P.Eng., is an entrepreneur engineer who has launched several successful Internet of Things (IoT) & Artificial Intelligence (AI) products in various fields such as agriculture, manufacturing, logistics, freight, retail, and mining. He has won more than 30 innovation and entrepreneurship awards in the IoT&AI fields. Peyman has extensive knowledge and experience in the IoT&AI spaces. Through his career, Peyman has developed an AI algorithm that made the time efficiency of software 500 times faster for the exact same results! He holds several patents in this space and is the founder and CEO of Peytec, a Smart Industrial IoT&AI company that builds and sells hyper-accurate “Indoor GPS” and Sensing Systems. Through his initiatives, Peyman is on a mission to help make Canada be the global leader in IoT&AI space.

  • Setting in with Programming – Python – Workshop 3

    Lassonde Building, Ottawa Rd, Toronto, ON M3J 1P3, Canada

    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.

  • SWE Speaks November 2019: A Journey of Successful Women’s Leadership

    245 Church St Toronto, Ontario Canada M5B 1Z4

    Wednesday November 13th, 2019 at 5:30 p.m. SWE Speaks will feature Tracy Holmes, P.Eng., President of Jenike & Johanson Ltd, a globally respected Bulk Solids Handling Consulting Engineering firm. Day & Time: Wednesday November 13th, 2019 5:30 p.m. ‐ 7:50 p.m. Speaker: Tracy Holmes, P.Eng. President of Jenike & Johanson Ltd Organizers: SWE, IEEE Toronto (WIE, Measurement/Instrumentation-Robotics), Computer Science Department of Ryerson University Location: 245 Church St Toronto, Ontario Canada M5B 1Z4 Building: George Vari Engineering and Computing Centre Room Number: ENG 288 Register: https://events.vtools.ieee.org/m/209036 Contact: Ayda Naserialiabadi Abstract: Are you looking around for female mentors and leaders to inspire your career? Are you excited to talk to women in engineering about their career paths? Our next SWE Speaks on November 13th features a Tracy Holmes, P.Eng., President of Jenike & Johanson Ltd, a globally respected Bulk Solids Handling Consulting Engineering firm. Agenda: 5:30 pm – registration 6:00 pm – speaker and Q&A 7:00 pm – networking All Engineers, EITs, P.Geo’s, professionals in engineering-related fields (that includes you technicians, software folks, GIS specialists, etc!) and new grads are welcome. We welcome people of all genders and supporters of women in engineering fields. Come make new connections and renew old ones. SWE Toronto is pleased to be co-hosting the evening with IEEE WIE. SWE Toronto and IEEE Women in Engineering help our members develop and reach their career goals through learning about others’ journeys and connecting our membership together. SWE Toronto’s mission statement is to support and contribute to the continual professional success of women in engineering. IEEE Women in Engineering’s mission statement is to facilitate the recruitment and retention of women in technical disciplines globally. Biography: Tracy has consulted to a wide spectrum of clients in Canada and overseas. She has published numerous papers and lectures frequently on the storage and flow of bulk solids across Canada. Tracy received her Bachelor of Applied Science in Civil Engineering from University of Waterloo in Canada.

  • National Engineering Month 2020 Meeting Fall 2019

    The WIE Toronto Team will continue to prepare for the National Engineering Month competition. Day & Time: Thursday, November 28, 2019 5:00 p.m. – 6:00 p.m. Organizers: IEEE Toronto WIE, Humber Student Branch Location: Humber College North Campus, Room F305 Contact: IEEE Humber

  • Raspberry Pi Workshop Fall 2019

    We will be programming and displaying the date and time for our Smart Mirror project. Day & Time: Friday, November 29, 2019 1:30 p.m. – 3:30 p.m. Organizers: IEEE Toronto WIE, Humber Student Branch Location: Humber College North Campus, Room J233A Contact: IEEE Humber