BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//IEEE Toronto Section - ECPv6.15.17//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:IEEE Toronto Section
X-ORIGINAL-URL:https://www.ieeetoronto.ca
X-WR-CALDESC:Events for IEEE Toronto Section
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Toronto
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20180311T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20181104T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200819T100000
DTEND;TZID=America/Toronto:20200819T110000
DTSTAMP:20260711T233227
CREATED:20210430T023543Z
LAST-MODIFIED:20210430T235353Z
UID:10000327-1597831200-1597834800@www.ieeetoronto.ca
SUMMARY:An Introduction to Django Web Development with Python
DESCRIPTION:On Wednesday\, August 19\, 2020 at 10:00 a.m.\, Suho Kang will present “An Introduction to Django Web Development with Python”. \nDay & Time: Wednesday\, August 19\, 2020\n10:00 a.m. – 11:00 a.m. \nSpeaker: Suho Kang \nOrganizer: IEEE Toronto WIE\, Magnetics Chapter \nLocation: Virtual – Zoom \nContact: Seyed M. Reza Dibaj\, Maryam Davoudpour \nAbstract: Django is a Python Web framework that encourages rapid development and clean design.\nSo many functionalities are already built in this framework by experienced developers\, so you do not have to re-invent the wheel\, and Django will take care of those hassles for you.\nIn our event\, we will be building a basic Django Web Application from scratch in a hands-on approach.\nAt the end of this course\, you will be familiar with how to make a virtual environment\, Django installation process\, an HTTP request handling\, and a CSS file and image file importing steps. \n(Requirements: The requirements are knowing the basic python\, HTML\, and CSS\, and the recommended platform consists of anaconda (preferred)\, Python3\, and the installed git bash on your system.) \nIt is highly recommended to participate in Getting Started with Python and Applied Data Science with pandas\, before attending this event. \nRegister: Please visit https://events.vtools.ieee.org/m/237004 for more information and to register.
URL:https://www.ieeetoronto.ca/event/an-introduction-to-django-web-development-with-python/
LOCATION:Toronto\, Ontario Canada
CATEGORIES:Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200818T100000
DTEND;TZID=America/Toronto:20200818T110000
DTSTAMP:20260711T233227
CREATED:20210430T023543Z
LAST-MODIFIED:20210430T235202Z
UID:10000326-1597744800-1597748400@www.ieeetoronto.ca
SUMMARY:Applied Data Science with pandas
DESCRIPTION:On Tuesday\, August 18\, 2020 at 10:00 a.m.\, Rafael Afonso Silva will present “Applied Data Science with pandas”. \nDate & Time: Tuesday\, August 18\, 2020\n10:00 a.m. – 11:00 a.m. \nSpeaker: Rafael Afonso Silva \nOrganizer: IEEE Toronto WIE\, Magnetics Chapter \nLocation: Virtual – Zoom \nContact: Seyed M. Reza Dibaj\, Maryam Davoudpour \nAbstract: Pandas is a fast\, powerful\, flexible and easy to use environment on top of the Python programming language. It is an open-source data analysis and manipulation tool\, which has made our life easier in the Data Science world. If you work or intend to work with data using Python\, you need to know pandas\, either for Data Analysis\, Data Science or Machine Learning. In our workshop\, we will provide a hands-on introduction to the pandas library and will learn how to use its amazing features to extract\, analyze and manipulate our data from different data sources. \n(Prerequisite: You need to have basic programming knowledge in Python) \nRegister: Please visit https://events.vtools.ieee.org/m/237002 for more information and to register.
URL:https://www.ieeetoronto.ca/event/applied-data-science-with-pandas/
LOCATION:Toronto\, Ontario Canada
CATEGORIES:Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200817T183000
DTEND;TZID=America/Toronto:20200817T203000
DTSTAMP:20260711T233227
CREATED:20210430T023542Z
LAST-MODIFIED:20210430T235109Z
UID:10000325-1597689000-1597696200@www.ieeetoronto.ca
SUMMARY:2D Game Development in Unity with C# - Session 4
DESCRIPTION:On Monday\, August 17\, 2020 at 6:30 p.m.\, IEEE Ryerson Computational Intelligence Chapter will be hosting “2D Game Development in Unity with C# – Session 4”. \nDay & Time: Monday\, August 17\, 2020\n6:30 p.m. ‐ 8:30 p.m. \nSpeaker: Steven Medeot \nOrganizers: IEEE Ryerson Computational Intelligence Chapter\, IEEE Toronto WIE \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi \nAbstract: Our interactive workshop welcomes new and experienced programmers who are interested in 2D game development.  This event hosted by IEEE Ryerson Computational Intelligence Chapter is sponsored by IEEE WIE and will provide the building blocks and best practices in developing a 2D level game including\, creating a player\, creating enemies\, game loops\, animations\, and more!  All who attend all five sessions will get a certificate from IEEE WIE and can submit their 2D game into a friendly competition with small prizes at the end of the workshop series. \nSession 4 explores animations and the associated features in animating your player/enemies. \nRegister: https://forms.gle/VvZW3oeZ81UCtgnX7 \nBiography: Steven Medeot is a 3rd-year Computer Science Student at Ryerson University. He has a background in Game Development\, who completed the Game Programming curriculum at George Brown College with a few years of experience working in this industry and enjoys developing his own games on the side. He strongly believes that creating a game that people can find joy in is a wonderful experience and wants to share some of the basic knowledge he has learned throughout the years.
URL:https://www.ieeetoronto.ca/event/2d-game-development-in-unity-with-c-session-4/
LOCATION:Online via Zoom
CATEGORIES:Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200817T100000
DTEND;TZID=America/Toronto:20200817T110000
DTSTAMP:20260711T233227
CREATED:20210430T023542Z
LAST-MODIFIED:20210430T235045Z
UID:10000324-1597658400-1597662000@www.ieeetoronto.ca
SUMMARY:Getting Started with Python
DESCRIPTION:On Monday\, August 17\, 2020 at 10:00 a.m.\, Sathish Ravichandran will be presenting “Getting Started with Python”. \nDay & Time: Monday\, August 17\, 2020\n10:00 a.m. – 11:00 p.m. \nSpeaker: Sathish Ravichandran \nOrganizers: IEEE Toronto WIE\, Magnetics Chapter \nLocation: Virtual – Zoom \nContact: Seyed M. Reza Dibaj\, Maryam Davoudpour \nAbstract: Python is an easy to learn programming language with a wide variety of well-paying jobs in many fields\, including data science\, web development\, network programming and so on. \nThis workshop is aimed at complete beginners who have never programmed before\, as well as existing programmers who want to increase their career options by learning Python\, especially if you are pursuing a career in data science\, AI\, web development\, big data\, web testing\, or programming for smart devices in Python. \nRegister: Please visit https://events.vtools.ieee.org/m/237001 for more details and to register.
URL:https://www.ieeetoronto.ca/event/getting-started-with-python/
LOCATION:Tornoto\, Ontario Canada
CATEGORIES:Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200810T183000
DTEND;TZID=America/Toronto:20200810T203000
DTSTAMP:20260711T233227
CREATED:20210430T023541Z
LAST-MODIFIED:20210430T234952Z
UID:10000322-1597084200-1597091400@www.ieeetoronto.ca
SUMMARY:2D Game Development in Unity with C# - Session 3
DESCRIPTION:On Monday\, August 10\, 2020 at 6:30 p.m.\, IEEE Ryerson Computational Intelligence Chapter will be hosting “2D Game Development in Unity with C# – Session 3”. \nDay & Time: Monday\, August 10\, 2020\n6:30 p.m. ‐ 8:30 p.m. \nSpeaker: Steven Medeot \nOrganizers: IEEE Ryerson Computational Intelligence Chapter\, IEEE Toronto WIE \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi \nAbstract: Our interactive workshop welcomes new and experienced programmers who are interested in 2D game development.  This event hosted by IEEE Ryerson Computational Intelligence Chapter is sponsored by IEEE WIE and will provide the building blocks and best practices in developing a 2D level game including\, creating a player\, creating enemies\, game loops\, animations\, and more!  All who attend all five sessions will get a certificate from IEEE WIE and can submit their 2D game into a friendly competition with small prizes at the end of the workshop series. \nSession 3 teaches the concept of game loops and scenes. \nRegister: https://forms.gle/VvZW3oeZ81UCtgnX7 \nBiography: Steven Medeot is a 3rd-year Computer Science Student at Ryerson University. He has a background in Game Development\, who completed the Game Programming curriculum at George Brown College with a few years of experience working in this industry and enjoys developing his own games on the side. He strongly believes that creating a game that people can find joy in is a wonderful experience and wants to share some of the basic knowledge he has learned throughout the years.
URL:https://www.ieeetoronto.ca/event/2d-game-development-in-unity-with-c-session-3/
LOCATION:Online via Zoom
CATEGORIES:Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200803T183000
DTEND;TZID=America/Toronto:20200803T203000
DTSTAMP:20260711T233227
CREATED:20210430T023539Z
LAST-MODIFIED:20210430T234920Z
UID:10000314-1596479400-1596486600@www.ieeetoronto.ca
SUMMARY:2D Game Development in Unity with C# - Session 2
DESCRIPTION:On Monday\, August 3\, 2020 at 6:30 p.m.\, IEEE Ryerson Computational Intelligence Chapter will be hosting “2D Game Development in Unity with C# – Session 2”. \nDay & Time: Monday\, August 3\, 2020\n6:30 p.m. ‐ 8:30 p.m. \nSpeaker: Steven Medeot \nOrganizers: IEEE Ryerson Computational Intelligence Chapter\, IEEE Toronto WIE \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi \nAbstract: Our interactive workshop welcomes new and experienced programmers who are interested in 2D game development.  This event hosted by IEEE Ryerson Computational Intelligence Chapter is sponsored by IEEE WIE and will provide the building blocks and best practices in developing a 2D level game including\, creating a player\, creating enemies\, game loops\, animations\, and more!  All who attend all five sessions will get a certificate from IEEE WIE and can submit their 2D game into a friendly competition with small prizes at the end of the workshop series. \nSession 2 of the 2D Game Development workshop series explores interfaces and interactability. \nRegister: https://forms.gle/VvZW3oeZ81UCtgnX7 \nBiography: Steven Medeot is a 3rd-year Computer Science Student at Ryerson University. He has a background in Game Development\, who completed the Game Programming curriculum at George Brown College with a few years of experience working in this industry and enjoys developing his own games on the side. He strongly believes that creating a game that people can find joy in is a wonderful experience and wants to share some of the basic knowledge he has learned throughout the years.
URL:https://www.ieeetoronto.ca/event/2d-game-development-in-unity-with-c-session-2/
LOCATION:Online via Zoom
CATEGORIES:Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200730T183000
DTEND;TZID=America/Toronto:20200730T193000
DTSTAMP:20260711T233227
CREATED:20210430T023539Z
LAST-MODIFIED:20210430T234839Z
UID:10000312-1596133800-1596137400@www.ieeetoronto.ca
SUMMARY:Measurement\, Control and Protection in Smart Grid Energy Management Systems for Smart Buildings in a Smart City
DESCRIPTION:Webinar by the IEEE Ottawa Section\, Instrumentation & Measurement Society Chapter (IMS)\, Power and Energy Society Ottawa Chapter (PES)\, Reliability Society and Power Electronics Society Joint Chapter (RS/PELS)\, Communications Society\, Consumer Electronics Society\, and Broadcast Technology Society Joint Chapter (ComSoc/ CESoc/BTS)\, and IEEE Ottawa Educational Activities (EA). \nDay & Time: Thursday\, July 30\, 2020\n6:30 p.m. ‐ 7:30 p.m. \nSpeaker: Prof. Saifur Rahman \nOrganizers: IEEE Ottawa Section\, Instrumentation & Measurement Society Chapter\, Power and Energy Society Chapter\, Reliability Society and Power Electronics Society\, Broadcast Technology Society Join Chapter\, IEEE Ottawa Educational Activities\, IEEE Toronto WIE \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi \nAbstract: Smart grid is a modern electric system with its architecture\, communications\, sensors\, measurements\, automation\, computing hardware and software for improvement of the efficiency\, reliability\, flexibility and security. In particular\, the smart grid\, when fully deployed\, will facilitate the (i) increased use of digital information and measurement\, control & protection technologies\, (ii) deployment and grid-integration of distributed energy resources (DERs)\, (iii) operation of demand response and energy efficiency programs\, and (iv) integration of consumer-owned smart devices and technologies. Different non-linear controls\, such as back-stepping control\, feedback linearization\, model predictive control\, and sliding mode control are applied to control DERs\, and their grid integration. Another control technique gaining application in the smart grid space is based on multi-agent systems (MAS) which provide autonomy\, reactivity and proactivity. As speedy communication facilities\, such as fiber-optics\, microwave\, GSM/GPRS\, 4G/5G are becoming the integral parts of the functioning smart grid\, the integration of MAS in smart grid applications is becoming simple and feasible. This lecture focuses on the measurement & control issues of the smart grid and how MAS can provide an efficient tool to address such issues. In addition\, an overview of the related challenges and opportunities for energy efficient building operation and management with deployment experience in the US will be provided. \nRegister: https://events.vtools.ieee.org/m/236481 \nBiography: Prof. Saifur Rahman is the founding director of the Advanced Research Institute (www.ari.vt.edu) at Virginia Tech\, USA where he is the Joseph R. Loring professor of electrical and computer engineering. He also directs the Center for Energy and the Global Environment (www.ceage.vt.edu). He is a Life Fellow of the IEEE and an IEEE Millennium Medal winner. He was the founding editor-in-chief of the IEEE Electrification Magazine and the IEEE Transactions on Sustainable Energy. In 2006\, he served on the IEEE Board of Directors as the Vice President for Publications. He is a distinguished lecturer for the IEEE Power & Energy Society (PES) and has lectured on renewable energy\, energy efficiency\, smart grid\, electric power system operation and planning\, etc. in over 30 countries. He was IEEE Power and Energy Society President 2018-2019 and is now a candidate for IEEE President-Elect 2021. \nHe chaired the US National Science Foundation Advisory Committee for International Science and Engineering\, 2010-2013. He conducted several energy efficiency projects for Duke Energy\, Tokyo Electric Power Company\, US National Science Foundation\, US Department of Defense\, State of Virginia and US Department of Energy.
URL:https://www.ieeetoronto.ca/event/measurement-control-and-protection-in-smart-grid-energy-management-systems-for-smart-buildings-in-a-smart-city/
LOCATION:Toronto\, Ontario Canada
CATEGORIES:Communications,Instrumentation & Measurement,Power & Energy,Power Electronics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200729T180000
DTEND;TZID=America/Toronto:20200729T200000
DTSTAMP:20260711T233227
CREATED:20210430T023538Z
LAST-MODIFIED:20210430T234634Z
UID:10000310-1596045600-1596052800@www.ieeetoronto.ca
SUMMARY:Introduction to NLP for Classification Task – Session 4
DESCRIPTION:On Wednesday\, July 29\, 2020 at 6:00 p.m.\, IEEE Toronto WIE\, Computational Intelligence Society\, and IM/RA will be hosting “Introduction to Natural Language Processing (NLP) for Classification Task – Session 4”. \nDay & Time: Wednesday\, July 29\, 2020\n6:00 p.m. ‐ 8:00 p.m. \nOrganizers: IEEE Toronto WIE\, Computational Intelligence Society\, IM/RA Society \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi\, Younes Sadat Nejad \nAbstract: Introduction to Natural Language Processing (NLP) for Classification Task is a series of workshops hosted by IEEE Toronto Section\, WIE\, Computational Intelligence Society\, Instrumentation Measurement/Robotics Automation Chapter and Ryerson Advanced AI lab. \nOur main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks. \nIn this session\, we will be focusing on RNN and LSTM. \nRegister: Please visit https://events.vtools.ieee.org/m/236479 or https://events.vtools.ieee.org/m/236480 for more details and to register.
URL:https://www.ieeetoronto.ca/event/introduction-to-nlp-for-classification-task-session-4/
LOCATION:Online via Zoom Toronto\, Ontario Canada
CATEGORIES:Communications,Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200727T183000
DTEND;TZID=America/Toronto:20200727T203000
DTSTAMP:20260711T233227
CREATED:20210430T023537Z
LAST-MODIFIED:20210430T234533Z
UID:10000309-1595874600-1595881800@www.ieeetoronto.ca
SUMMARY:2D Game Development in Unity with C# - Session 1
DESCRIPTION:On Monday\, July 27\, 2020 at 6:30 p.m.\, IEEE Ryerson Computational Intelligence Chapter will be hosting “2D Game Development in Unity with C# – Session 1”. \nDay & Time: Monday\, July 27\, 2020\n6:30 p.m. ‐ 8:30 p.m. \nSpeaker: Steven Medeot \nOrganizers: IEEE Ryerson Computational Intelligence Chapter\, IEEE Toronto WIE \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi \nAbstract: Our interactive workshop welcomes new and experienced programmers who are interested in 2D game development. This event hosted by IEEE Ryerson Computational Intelligence Chapter is sponsored by IEEE WIE and will provide the building blocks and best practices in developing a 2D level game including\, creating a player\, creating enemies\, game loops\, animations\, and more! All who attend all five sessions will get a certificate from IEEE WIE and can submit their 2D game into a friendly competition with small prizes at the end of the workshop series. \nIn our first session\, we will review basic programming concepts\, object-oriented programming\, and introduce best practices working with C# in the Unity environment. \nRegister: https://forms.gle/VvZW3oeZ81UCtgnX7 \nBiography: Steven Medeot is a 3rd-year Computer Science Student at Ryerson University. He has a background in Game Development\, who completed the Game Programming curriculum at George Brown College with a few years of experience working in this industry and enjoys developing his own games on the side. He strongly believes that creating a game that people can find joy in is a wonderful experience and wants to share some of the basic knowledge he has learned throughout the years.
URL:https://www.ieeetoronto.ca/event/2d-game-development-in-unity-with-c-session-1/
LOCATION:Online via Zoom
CATEGORIES:Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200723T130000
DTEND;TZID=America/Toronto:20200723T153000
DTSTAMP:20260711T233227
CREATED:20210430T023536Z
LAST-MODIFIED:20210430T234342Z
UID:10000307-1595509200-1595518200@www.ieeetoronto.ca
SUMMARY:Advanced Topics on Scalable Deployment of Machine Learning and Drone-Based Search and Rescue
DESCRIPTION:On Thursday\, July 23\, 2020 at 1:00 p.m.\, Dalia Hanna and Mujahid Sultan will be presenting “Advanced Topics on Scalable Deployment of Machine Learning and Drone-Based Search and Rescue”. \nDay & Time: Thursday\, July 23\, 2020\n1:00 p.m. – 4:00 p.m. \nSpeakers: Dalia Hanna\, Mujahid Sultan \n\n\nOrganizers: IEEE Toronto WIE\, IEEE IM/RA\, Ryerson CS Graduate Student Council\, IEEE Ryerson Computational Intelligence Chapter\, Ryerson CSCU \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi \nTitle: Factors affecting the Automation of the Search and Rescue Operations: An Algorithm on Finding Missing Lost Persons Living with Dementia \nAbstract: Unmanned Aerial Vehicles (UAV) are now used in many applications. The focus in this presentation is on their use in public safety\, specifically in search and rescue (SAR) operations involving lost persons living with dementia (LPLWD). When it comes to saving lives\, there are many human factors associated with UAV operations that impact the performance of expert human SAR teams that could be improved through forms of automation. These include familiarity with the search location\, tasks associated with piloting and search/flight management during SAR operations.  A LPLWD may not be interested in assisting in their own rescue as they may not know they are lost. As such\, it has been observed that they tend to keep walking until they are faced with an obstacle that bars their further progress. The approach presented in this research work focuses on developing a people finding algorithm to identify higher probability locations where an LPLWD might be found\, through informed\, behavior-based analysis of the search location; then\, developing an algorithm to fly a UAV to the vicinity of these higher probability locations.  The algorithm was tested and validated through field testing. The results from both the data collection process and the field tests indicated that there are efficiencies in using the drone\, which enhances the probability of finding the lost person alive.  An informed cleaning process involving both manual and ‘R’-automated approaches to scrub and augment the data–adding any missing values in the dataset\, helped in understanding the behaviour of the lost person and in determining what significant variables enhanced their survivability. Linear regression was utilized to acquire the correlation among the numeric values in the database. The analysis indicated that there was no significant correlation among the independent variables; however\, the data indicated that the wanderer tended to be found closer to where they left or were last seen. Logistic regression was used to investigate the survivability using three classification models. Finally\, a framework is presented considering all the factors form the field tests and data analysis. \n\nTitle: How to build and deploy machine learning models in the scalable cloud  \nAbstract: Machine learning model development is a skill taught at schools and is a good skill to have but where most of the student’s lake is how to serve these models to the clients. How to scale. Make sure that the server does not die if it gets a million hits in a second. How to build security around it. \nAgenda: Interested students who want to build along with me\, can bring their laptop with MobaXterm installed and we can do the following together. \n\nlogin to a cloud environment (I will provide the cloud login credentials during the presentation)\ncreate a virtual environment for development\nbuild a semantic search engineby pulling libraries from the net\npick a visualization and presentation method from D3JS\ndevelop an application using MVC pattern like the flask\nwrap the application in a docker container\ninstall scalable web engine like NGINX\nhost it to the cloud (azure)\nprovide secure access with a username and password to anyone on the internet\n\nThis presentation will expose the tools required to build scalable machine learning applications in the cloud. \n\nRegistration: Please visit https://forms.gle/7ZoimYgVjjpC9mag8 to register. \nBiographies: \nDalia Hanna\nTopic: Factors affecting the Automation of the Search and Rescue Operations: An Algorithm on Finding Missing Lost Persons Living with Dementia \nDalia Hanna is a PhD Candidate in the Department of Computer Science\, Ryerson University. She is a member of Ryerson’s Network-Centric Applied Research Lab\, a multidisciplinary Computational Public Safety-focused research lab. She has a B.Sc. in Electronics and Communication Engineering and M.Sc. in Instructional Design and Technology with a specialization in Online Learning. Dalia is also a certified project management professional (PMP ® ) and a certified facilitator. Her research interest in utilizing technology tools for public safety\, search and rescue\, and emergency management operations. . Dalia authored several research papers and presented in national and international conferences. \nMujahid Sultan\nTopic: Factors affecting the Automation of the Search and Rescue Operations: An Algorithm on Finding Missing Lost Persons Living with Dementia \nMujahid Sultan is a senior computer scientist and enterprise architect with vast experience in machine learning\, pattern recognition\, deep learning\, NLP\, text synthesis\, transcription\, time-series forecasting and cloud-native developments (Python\, microservices\, APIs\, Docker\, Kubernetes). His current research focus: a) working to develop a robust clustering method with mathematical proofs b) improving learning from imbalanced data on graph-based deep learning backends (TensorFlow\, Torch and CNTK)\, and c) building Machine Learning based dynamic SDN controllers. \nHe has authored in high impact journals in fields of Machine Learning\, Artificial Intelligence\, Data Visualization\, Genetics and Drug Discovery for Cancer\, Requirements Engineering and Enterprise Architecture. His publications can be found at https://orcid.org/0000-0001-6721-4044 \nAreas of Expertise include: Regression\, Clustering\, Classification\, Deep Learning\, Convolutional and Recurrent Neural Networks (LSTMs)\, Natural Language Processing (NLP)\, Self-Organizing Maps (SOM)\, Topic Modeling and Parallel Processing. Expert in info visualization using matlab\, matplotlib\, D3js and plotly. \nSkills: Full-stack development: (Angular+Flask+Docker); Python: (Scikit-Learn\, Keras\, TensorFlow\, NLTK\, Spacy\, NumPy\, Matplotlib\, SpaCy to name a few); MATLAB: (toolboxes: statistics\, microeconomics\, parallel processing\, bioinformatics to name a few). \nPlatform experience: Docker Containers and Kubernetes on AWS\, Azure/Azure Stack and Google Cloud Platform. PaaS/IaaS: (AWS: (Elastic Beanstalk\, Lambda\, Poly\, Sage-Maker)\, Azure ML\, and Heroku).
URL:https://www.ieeetoronto.ca/event/advanced-topics-on-scalable-deployment-of-machine-learning-and-drone-based-search-and-rescue/
LOCATION:Online via Zoom Toronto\, Ontario Canada
CATEGORIES:Computer,Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200715T180000
DTEND;TZID=America/Toronto:20200715T200000
DTSTAMP:20260711T233227
CREATED:20210430T023536Z
LAST-MODIFIED:20210430T234230Z
UID:10000306-1594836000-1594843200@www.ieeetoronto.ca
SUMMARY:Introduction to NLP for Classification Task - Session 2
DESCRIPTION:Recorded Material:\nVideo: https://drive.google.com/file/d/1gBUK_NtU3kSNblsGaYouLHyfDHlxr1tt/view\nPowerPoint: 2.IntroductiontoNLP\,Kagle \nOn Wednesday\, July 15\, 2020 at 6:00 p.m.\, IEEE Toronto WIE and Computational Intelligence Society will be hosting “Introduction to Natural Language Processing (NLP) for Classification Task – Session 2”. \nDay & Time: Wednesday\, July 15\, 2020\n6:00 p.m. ‐ 8:00 p.m. \nOrganizers: IEEE Toronto WIE\, Computational Intelligence Society \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi\, Younes Sadat Nejad \nAbstract: Introduction to Natural Language Processing (NLP) for Classification Task is a series of workshops hosted by IEEE Toronto Section\, WIE\, Computational Intelligence Society\, Instrumentation Measurement/Robotics Automation Chapter and Ryerson Advanced AI lab. \nOur main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks. \nIn the second session\, we will introduce the concept of deep learning\, and then specifically focus on Natural Language Process. We will also introduce Kaggle Account as an environment for python coding. \nRegister: Please visit https://events.vtools.ieee.org/m/235444 or https://events.vtools.ieee.org/m/235447 for more details and to register.
URL:https://www.ieeetoronto.ca/event/introduction-to-nlp-for-classification-task-session-2/
LOCATION:Online via Zoom
CATEGORIES:Communications,Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200708T180000
DTEND;TZID=America/Toronto:20200708T193000
DTSTAMP:20260711T233227
CREATED:20210430T023534Z
LAST-MODIFIED:20210430T234017Z
UID:10000304-1594231200-1594236600@www.ieeetoronto.ca
SUMMARY:Introduction to NLP for Classification Task – Session 1
DESCRIPTION:Recorded Material:\nVideo: https://drive.google.com/file/d/1gBUK_NtU3kSNblsGaYouLHyfDHlxr1tt/view?usp=sharing\nPowerPoint: 1-Intro to Python\, Data Science Libraries\, and Pytorch \nOn Wednesday\, July 8\, 2020 at 6:00 p.m.\, IEEE Toronto WIE and Computational Intelligence Society will be hosting “Introduction to Natural Language Processing (NLP) for Classification Task – Session 1”. \nDay & Time: Wednesday\, July 8\, 2020\n6:00 p.m. ‐ 7:30 p.m. \nOrganizers: IEEE Toronto WIE\, Computational Intelligence Society \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi\, Younes Sadat Nejad \nAbstract: Introduction to Natural Language Processing (NLP) for Classification Task is a series of workshops hosted by IEEE Toronto Section\, WIE\, Computational Intelligence Society\, Instrumentation Measurement/Robotics Automation Chapter and Ryerson Advanced AI lab. \nOur main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks. In session 1\, we will be covering the introduction to Python\, Data Science Libraries and Pytorch. \nRegister: Please visit https://events.vtools.ieee.org/m/233944 or https://events.vtools.ieee.org/m/233942 for more details and to register.
URL:https://www.ieeetoronto.ca/event/introduction-to-nlp-for-classification-task-session-1/
CATEGORIES:Communications,Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200612T170000
DTEND;TZID=America/New_York:20200612T180000
DTSTAMP:20260711T233227
CREATED:20210501T013325Z
LAST-MODIFIED:20210501T013325Z
UID:10000275-1591981200-1591984800@www.ieeetoronto.ca
SUMMARY:WIE Electronics session
DESCRIPTION:The workshop was to learn how to use virtual instruments in multisim\, as a way of learning how to use lab equipment\, followed by a discussion of an oscillator circuit\, built and demonstrated in multisim. \n\nDay & Time: Friday\, June 12\, 2020\n5:00 p.m. – 6:00 p.m. \nSpeaker: Brandeen McDonald \n\nProfessor\, School of Applied Technology at Humber College Institution of Technology and Advance LearningOrganizers: IEEE Toronto WIE\, Humber Student Branch  \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi
URL:https://www.ieeetoronto.ca/event/wie-electronics-session/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200515T170000
DTEND;TZID=America/New_York:20200515T203000
DTSTAMP:20260711T233227
CREATED:20210501T013235Z
LAST-MODIFIED:20210501T013235Z
UID:10000273-1589562000-1589574600@www.ieeetoronto.ca
SUMMARY:Programming Session Online
DESCRIPTION:Programming Sessions start for the Summer of 2020 via ZOOM. \n\nDay & Time: Friday\, May 15\, 2020\n5:00 p.m. – 8:30 p.m. \nSpeaker: Brandeen McDonald \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Virtual – Zoom \nContact: Maryam Davoudpour
URL:https://www.ieeetoronto.ca/event/programming-session-online/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200310T142000
DTEND;TZID=America/New_York:20200310T152000
DTSTAMP:20260711T233227
CREATED:20210501T013138Z
LAST-MODIFIED:20210501T013138Z
UID:10000271-1583850000-1583853600@www.ieeetoronto.ca
SUMMARY:Women in Engineering Winter 2020 Session #6
DESCRIPTION:In this session we are going to learn how to derive Flora-wearable electronic platform which we are going to use in dress. \n\n\nDay & Time: Tuesday\, March 10\, 2020\n2:20 p.m. – 3:20 p.m. \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room F307 \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/women-in-engineering-winter-2020-session-6/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200211T142000
DTEND;TZID=America/New_York:20200211T152000
DTSTAMP:20260711T233227
CREATED:20210501T013056Z
LAST-MODIFIED:20210501T013056Z
UID:10000269-1581430800-1581434400@www.ieeetoronto.ca
SUMMARY:Women in Engineering Winter 2020 Session #5
DESCRIPTION:Preparing the algorithm to write the code for the upper pattern of the dress. \n\n\nDay & Time: Tuesday\, February 11\, 2020\n2:20 p.m. – 3:20 p.m. \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room F307 \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/women-in-engineering-winter-2020-session-5/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200204T142000
DTEND;TZID=America/New_York:20200204T152000
DTSTAMP:20260711T233227
CREATED:20210501T013017Z
LAST-MODIFIED:20210501T013017Z
UID:10000267-1580826000-1580829600@www.ieeetoronto.ca
SUMMARY:Women in Engineering Winter 2020 Session #4
DESCRIPTION:The main goal of this session is to learn how to use a microcontroller to drive dotstars. \n\n\nDay & Time: Tuesday\, February 4\, 2020\n2:20 p.m. – 3:20 p.m. \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room F307 \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/women-in-engineering-winter-2020-session-4/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200129T163000
DTEND;TZID=America/Toronto:20200129T173000
DTSTAMP:20260711T233227
CREATED:20210430T023532Z
LAST-MODIFIED:20210430T233412Z
UID:10000298-1580315400-1580319000@www.ieeetoronto.ca
SUMMARY:Setting in with Programming – Python: The beginner crash course
DESCRIPTION:Wednesday January 29th\, 2020 at 4:30 p.m. Enas AlTarawneh will be hosting “Setting in with Programming – Python: The beginner crash course”. \nDay & Time: Wednesday January 29th\, 2020\n4:30 p.m. ‐ 8:00 p.m. \nOrganizers: IEEE Toronto WIE \nLocation: Bergeron Center\, BRG 213\nYork University\nToronto \nContact: Hina Tabassum\, PhD\, P.Eng\, SMIEEE \nAbstract: 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 (8) functions (9) use and application of existing packages (10) file manipulation (11) GUI input/output \nNote: Bring your own laptop with a python installation (2.7\, 3.3-3.7) \nRegister: http://bit.ly/2sWzOPw
URL:https://www.ieeetoronto.ca/event/setting-in-with-programming-python-the-beginner-crash-course/
LOCATION:Bergeron Center\, BRG 213 York University Toronto
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200128T142000
DTEND;TZID=America/New_York:20200128T152000
DTSTAMP:20260711T233227
CREATED:20210501T012742Z
LAST-MODIFIED:20210501T012742Z
UID:10000265-1580221200-1580224800@www.ieeetoronto.ca
SUMMARY:Women in Engineering Winter 2020 Session #3
DESCRIPTION:Continuing the work on the LED dress. Soldering dotstars and testing them. \nDay & Time: Tuesday\, January 28\, 2020\n2:20 p.m. – 3:20 p.m. \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room F307 \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/women-in-engineering-winter-2020-session-3/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200127T170000
DTEND;TZID=America/New_York:20200127T180000
DTSTAMP:20260711T233227
CREATED:20210501T012650Z
LAST-MODIFIED:20210501T012650Z
UID:10000263-1580144400-1580148000@www.ieeetoronto.ca
SUMMARY:Omni Directional Robotic Project Winter 2020 Session #3
DESCRIPTION:Our Omni Directional Robot project: Robotics. \nDay & Time: Monday\, January 27\, 2020\n5:00 p.m. – 6:00 p.m. \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room L212 \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/omni-directional-robotic-project-winter-2020-session-3/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200124T170000
DTEND;TZID=America/New_York:20200124T200000
DTSTAMP:20260711T233227
CREATED:20210501T012548Z
LAST-MODIFIED:20210501T012548Z
UID:10000261-1579885200-1579896000@www.ieeetoronto.ca
SUMMARY:Programming Session Winter 2020 #2
DESCRIPTION:These Sessions are to evolve our members’ programming and critical thinking ability. \nDay & Time: Friday\, January 24\, 2020\n5:00 p.m. – 8:00 p.m. \nSpeaker: Dr. Andrew Rudder \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room F306 \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/programming-session-winter-2020-2/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200124T153000
DTEND;TZID=America/New_York:20200124T170000
DTSTAMP:20260711T233227
CREATED:20210501T012501Z
LAST-MODIFIED:20210501T012501Z
UID:10000409-1579879800-1579885200@www.ieeetoronto.ca
SUMMARY:National Engineering Month 2020 Meeting Winter 2020 #2
DESCRIPTION:The WIE Toronto Team will continue to prepare for the National Engineering Month competition. \nDay & Time: Friday\, January 24\, 2020\n3:30 p.m. – 5:00 p.m. \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room F233 \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/national-engineering-month-2020-meeting-winter-2020-2/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200122T163000
DTEND;TZID=America/Toronto:20200122T173000
DTSTAMP:20260711T233227
CREATED:20210430T023531Z
LAST-MODIFIED:20210430T233350Z
UID:10000297-1579710600-1579714200@www.ieeetoronto.ca
SUMMARY:Round table: A successful teaching practicum
DESCRIPTION:Wednesday January 22nd\, 2020 at 4:30 p.m. Enas AlTarawneh will be hosting a round table: “A successful teaching practicum”. \nDay & Time: Wednesday January 22nd\, 2020\n4:30 p.m. ‐ 5:30 p.m. \nOrganizers: IEEE Toronto WIE \nLocation: Lassonde Building (LAS) – Room 3033\nYork University\nToronto\, ON M3J \nContact: Hina Tabassum\, PhD\, P.Eng\, SMIEEE \nAbstract: Are you planning on doing a teaching practicum and would like to ask questions on how to successfully plan for it from those who have done it before? Have you done a teaching practicum before and would like to provide your feedback and experience? Then join this round table. This workshop will provide participants with the basics of a successful teaching practicum. This workshop will also bring on discussions on the following topics 1) Student centered approach\, 2) Structured lectures\, 3) Guided learning\, 4) Use of technology as a learning tool\, 5) Evaluations\, 6) Pacing\, 7) Key performance indicator. \nRegister: http://bit.ly/2QMYgfk
URL:https://www.ieeetoronto.ca/event/round-table-a-successful-teaching-practicum/
LOCATION:Lassonde Building (LAS) – Room 3033 York University Toronto\, ON M3J
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200121T142000
DTEND;TZID=America/New_York:20200121T152000
DTSTAMP:20260711T233227
CREATED:20210501T012412Z
LAST-MODIFIED:20210501T012412Z
UID:10000407-1579616400-1579620000@www.ieeetoronto.ca
SUMMARY:Women in Engineering Winter 2020 Session #2
DESCRIPTION:Continuing the work on the LED dress. \nDay & Time: Tuesday\, January 21\, 2020\n2:20 p.m. – 3:20 p.m. \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room J233A \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/women-in-engineering-winter-2020-session-2/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200120T170000
DTEND;TZID=America/New_York:20200120T180000
DTSTAMP:20260711T233227
CREATED:20210501T012326Z
LAST-MODIFIED:20210501T012326Z
UID:10000405-1579539600-1579543200@www.ieeetoronto.ca
SUMMARY:Omni Directional Robotic Project Winter 2020 Session #2
DESCRIPTION:Our Omni Directional Robot project: Basics of Robotics. \nDay & Time: Monday\, January 20\, 2020\n5:00 p.m. – 6:00 p.m. \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room J233A \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/omni-directional-robotic-project-winter-2020-session-2/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200117T170000
DTEND;TZID=America/New_York:20200117T200000
DTSTAMP:20260711T233227
CREATED:20210501T012224Z
LAST-MODIFIED:20210501T012224Z
UID:10000403-1579280400-1579291200@www.ieeetoronto.ca
SUMMARY:Programming Session Winter 2020 #1
DESCRIPTION:These Sessions are to evolve our members’ programming and critical thinking ability. \nDay & Time: Friday\, January 17\, 2020\n5:00 p.m. – 8:00 p.m. \nSpeaker: Dr. Andrew Rudder \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room J233A \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/programming-session-winter-2020-1/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200117T153000
DTEND;TZID=America/New_York:20200117T170000
DTSTAMP:20260711T233227
CREATED:20210501T012132Z
LAST-MODIFIED:20210501T012132Z
UID:10000401-1579275000-1579280400@www.ieeetoronto.ca
SUMMARY:National Engineering Month 2020 Meeting Winter 2020 #1
DESCRIPTION:The WIE Toronto Team will continue to prepare for the National Engineering Month competition. \nDay & Time: Friday\, January 17\, 2020\n3:30 p.m. – 5:00 p.m. \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room J233A \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/national-engineering-month-2020-meeting-winter-2020-1/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200114T142000
DTEND;TZID=America/New_York:20200114T152000
DTSTAMP:20260711T233227
CREATED:20210501T012045Z
LAST-MODIFIED:20210501T012045Z
UID:10000399-1579011600-1579015200@www.ieeetoronto.ca
SUMMARY:Women in Engineering Winter 2020 Session #1
DESCRIPTION:Our Women in Engineering Chapter make plans on their LED Dress. \nDay & Time: Tuesday\, January 14\, 2020\n2:20 p.m. – 3:20 p.m. \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room J233A \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/women-in-engineering-winter-2020-session-1/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200113T170000
DTEND;TZID=America/New_York:20200113T180000
DTSTAMP:20260711T233227
CREATED:20210501T011952Z
LAST-MODIFIED:20210501T011952Z
UID:10000397-1578934800-1578938400@www.ieeetoronto.ca
SUMMARY:Omni Directional Robotic Project Winter 2020 Session #1
DESCRIPTION:First Session for the Winter 2020 Semester: our Omni Directional Robot project opens its doors to new members. \nDay & Time: Monday\, January 13\, 2020\n5:00 p.m. – 6:00 p.m. \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room J233A \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/omni-directional-robotic-project-winter-2020-session-1/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191220T170000
DTEND;TZID=America/New_York:20191220T200000
DTSTAMP:20260711T233227
CREATED:20210501T011901Z
LAST-MODIFIED:20210501T011901Z
UID:10000394-1576861200-1576872000@www.ieeetoronto.ca
SUMMARY:End of Year Social
DESCRIPTION:We invite our members to come and enjoy the last day of the semester with us. \nDay & Time: Friday\, December 20\, 2019\n5:00 p.m. – 8:00 p.m. \nOrganizers: IEEE Toronto WIE\, Humber Student Branch \nLocation: Humber College North Campus\, Room F305 \nContact: IEEE Humber
URL:https://www.ieeetoronto.ca/event/end-of-year-social/
CATEGORIES:Women in Engineering
END:VEVENT
END:VCALENDAR