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DTSTART;TZID=America/Toronto:20210205T100000
DTEND;TZID=America/Toronto:20210205T120000
DTSTAMP:20260711T063806
CREATED:20210430T023720Z
LAST-MODIFIED:20210501T002436Z
UID:10000347-1612519200-1612526400@www.ieeetoronto.ca
SUMMARY:Project-based Python Workshop 3
DESCRIPTION:On Friday\, February 5\, 2021 at 10:00 a.m.\, IEEE Toronto WIE will host a Python workshop\, “How to Use LSTM for Text and Time Series Classification”. \nDay & Time: Friday\, February 5\, 2021\n10:00 a.m. – 12:00 p.m. \nSpeaker(s): Enas Tarawneh \nOrganizer(s): IEEE Toronto WIE\, York University WiCSE \nLocation: Virtual \nContact: Hina Tabassum \nAbstract: \nThis workshop focuses on how to classify or label text using bi-LSTM RNNs. It includes pre-processing/cleaning of the text and handling severely imbalanced classes using SMOTE\, oversampling\, under-sampling\, class count\, and log smoothen weights. Using different types of LSTM such as vanilla LSTM\, and Bi-LSTM\, we focus on time series problems with categorical data.  In summary\, this workshop will cover: \na) Preprocessing text and data\nb) Handling imbalanced datasets\nc) Use different types of LSTMs for text and time series classification\nd) Produce meaningful classification reports \nRegister: Please visit http://bit.ly/39IQFXd to register. \nBiography: 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.
URL:https://www.ieeetoronto.ca/event/project-based-python-workshop-3/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210128T180000
DTEND;TZID=America/Toronto:20210128T200000
DTSTAMP:20260711T063806
CREATED:20210430T023720Z
LAST-MODIFIED:20210501T002407Z
UID:10000345-1611856800-1611864000@www.ieeetoronto.ca
SUMMARY:IndustrioTech© Seminars - Smart Maintenance
DESCRIPTION:IEEE Toronto WIE and IM/RA is hosting “IndustrioTech”\, a series of seminars on Smart Maintenance (Predictive Maintenance) using variety of technologies. \nDay & Time: Thursday\, January 28\, 2021\n6:00 p.m. – 8:00 p.m. \nSpeakers & Topics: \nDr. Ahmad Barari\nDirector of Advanced Digital Manufacturing and Advanced Digital Metrology Laboratories\, Associate Professor at University of Ontario Institute of Technology\nTopic: LIVE Simulation for Predictive Maintenance \nMohsen Tayefeh\nIndustry 4.0 strategic Business manager\, CAD MicroSolutions\nTopic: Imperative foundations toward Smart Maintenace: Matching up the Technology with the Business Value \nShafiul Alam\nResearch Engineer McMaster Manufacturing Research Institute (MMRI)\nTopic: Predictive Maintenance and Industry 4.0 (Case study Honda manufacturing plant) \nDr. Amir Harandi\nCEO\, Artintech Inc.\nTopic: ML and GA: Artificial Intelligent techniques in Smart Maintenance \nOrganizer(s): IEEE Toronto WIE\, IM/RA \nLocation: Virtual \nContact: Ayda Naserialiabadi \nRegister: Please visit here to register.
URL:https://www.ieeetoronto.ca/event/industriotech-seminars-smart-maintenance/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210119T180000
DTEND;TZID=America/Toronto:20210119T200000
DTSTAMP:20260711T063806
CREATED:20210430T023719Z
LAST-MODIFIED:20210501T002148Z
UID:10000342-1611079200-1611086400@www.ieeetoronto.ca
SUMMARY:Career Night Series: Writing Attention Grabbing Resumes
DESCRIPTION:On Tuesday\, January 19\, 2021 at 6:00 p.m.\, IEEE Toronto WIE and IM/RA will host “Career Night Series: Writing Attention Grabbing Resumes & Cover Letters”. \n\n\n\n\nDay & Time: Tuesday\, January 19\, 2021\n9:00 p.m. – 10:30 p.m. \nOrganizers: IEEE Toronto WIE\, IM/RA\, Ryerson Computer Science \nLocation: Virtual \nContact: Wincy Li \nDescription: Unclear about how to tailor a resume to industry jobs? Want to learn how to describe your accomplishments in an impactful manner? In this webinar\, you will learn how to gain the attention of hiring managers with well-written resumes and cover letters! \nFor accessibility needs\, please contact Wincy at wincyli@ryerson.ca as soon as possible. \nRegister: Please visit https://ryerson.zoom.us/webinar/register/WN_K0eDFX2LQtu97tfq0Wpy_w to register.
URL:https://www.ieeetoronto.ca/event/career-night-series-writing-attention-grabbing-resumes/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201210T133000
DTEND;TZID=America/Toronto:20201210T144500
DTSTAMP:20260711T063806
CREATED:20210430T023719Z
LAST-MODIFIED:20210501T001657Z
UID:10000228-1607607000-1607611500@www.ieeetoronto.ca
SUMMARY:Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System
DESCRIPTION:On Thursday\, December 10\, 2020 at 1:30 p.m.\, Steve Delaney will present “Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System” and Iwona Sokalska will present “Corda Blockchain as a Sustainable Supply Chain for Open Education”. \nDay & Time: Thursday\, December 10\, 2020\n1:30 p.m. – 2:45 p.m. \nSpeakers: Steven Delaney\, Iwona Sokalska \nOrganizer: Ryerson CS Graduate Student Council\, IEEE Toronto WIE\, IM/RA \nLocation: Virtual \nContact: Ayda Naserialiabadi \nAbstracts: \nTitle: Improving Data Usability for Clinicians and First Responders in a Unified Healthcare System \nCost effective\, efficient and exemplary healthcare services is of paramount importance to all Canadians.   Countries around the world are addressing this through the consolidation and integration of siloed patient healthcare records into a unified system.  However\, consolidation and advances in technology that generate healthcare data threaten to overload clinicians with information. This makes the usability of healthcare data in terms of speed of access and relevancy that is optimized to the role of the clinician and healthcare scenario\, key to the success of the unified healthcare system.   My research objective is to design and demonstrate a solution\, that provides clinicians with a superior experience that provides them with the most relevant data for the current needs of the patient in order to determine and apply the best treatment in a timely manner\, using Semantic Web and Blockchain technology to support patient privacy and role based access and permission controls. \nTitle: Corda Blockchain as a Sustainable Supply Chain for Open Education: \nBlockchain solutions are disrupting the established supply chains. The ability to customize the transaction in the “business context” is one of the key reasons why blockchain will play a major role in reinventing the existing rigid supply chains. In this presentation\, we are going to look at \nCorda blockchain features that enable powerful supply chains capable of supporting new business models. We are going to build a case of why such a disruption is needed in the publishing industry to support the Open Education and Higher Education Affordability Act. The open education licences require proper attribution of contributors. One of the challenges in open education is that licences can be easily misused by 3-rd party content purveyors. In addition\, content creators often do not know where and how their content is being used. It is impossible for content creators to measure the impact of their works or to prevent licence misuse. Universities\, professors\, retail bookstores\, libraries and 3rd party higher education platforms constitute a complex ecosystem. In this ecosystem\, real barriers are causing scaling issues. The issues include content findability\, compliance\, licence misuse\, licence rigidity and proliferation of licence types and lack of interoperability for licences. The presentation will outline a Corda based supply chain and Information Retrieval to addresses these issues. Providing a decentralized platform for independent players in a system to reduce the complexity of transacting. Mainly by using smart contracts to manage licence agreement workflows. Scalability\, data privacy and data traceability are key considerations in the Corda blockchain which can be leveraged to support a sustainable business model and healthy ecosystems. \nRegister: Please visit https://events.vtools.ieee.org/m/246971 to register. \nBiographies: \nSteve Delaney \n\n\n\nSteve is a PhD candidate in Computer Science at Ryerson University working on the data quality of healthcare records.  He has an MBA from York University and an Honours Bachelor of Science degree from the University of Toronto.  He obtained his ICD.D certification from the Institute of Corporate Directors/Rotman School of Business.  He is currently on the Board of the CIO Association of Canada and is a member of several Advisory Councils.  Steve is the Co-Founder of Capital Blockchain\, a Canadian firm that develops blockchain solutions for the private and public sector.  Previously Steve was the CIO of the Ontario Telemedicine Network\, CIO of MCAP ( $100B mortgage firm) and VP Technology at RBC and BCE. \nEmail: steven.delaney@ryerson.ca \nIwona Sokalska \n\n\n\nIwona Sokalska is a 2nd-year Computer Science PhD student at Ryerson University. Iwona’s interests are in the automation of knowledge dissemination and knowledge extraction. Under the supervision of Professor Andriy Miranskyy\, Iwona is developing techniques for semantic code analysis using Artificial Intelligence\, specifically Graph Neural Networks. Iwona is a co-founder of OpenSail\, a distributed platform for licenced content dissemination. With over 10 years of experience\, Iwona has designed products and services in Medical Imaging\, Medical Informatics and Enterprise Knowledge Management Systems. Iwona holds an Honours B.Sc. double major in Computer Science and Mathematics from York University and an M.Sc. Data Science and Analytics from Ryerson University. Her mission is to improve the support of Open Education Community and increase adoption of Open Education Resources in institutions around the world.
URL:https://www.ieeetoronto.ca/event/improving-data-usability-for-clinicians-and-first-responders-in-a-unified-healthcare-system/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201127T100000
DTEND;TZID=America/Toronto:20201127T120000
DTSTAMP:20260711T063806
CREATED:20210430T023718Z
LAST-MODIFIED:20210501T001506Z
UID:10000225-1606471200-1606478400@www.ieeetoronto.ca
SUMMARY:Python Project-based Workshop: How to track motion from bird eye multiple camera perspectives
DESCRIPTION:On Friday\, November 27\, 2020 at 10:00 a.m.\, Enas Tarawneh will present “Python Project-based Workhsop: How to build your own intelligent agent”. \nDay & Time: Friday\, November 27\, 2020\n10:00 a.m. – 12:00 p.m. \nSpeaker: Enas Tarawneh \nOrganizers: IEEE Toronto WIE\, IM/RA\, York University WiCSE \nLocation: Virtual \nContact: Ayda Naserialiabadi \nAbstract: The workshop will focus on extracting images from multiple sources (webcam\, video\, ROS bag) and perform image processing to detect regions of high motion or change over a period. The workshop will also show how to stitch the multiple bird eye views from multiple cameras together to form one image of the floor where the motion is detected. This workshop includes: \na) Extracting frames from a camera\, video or ROS bag and generating a image stream \nb) Stitching the multiple bird eye views and calibrating to create one 2D image of the floor \nc) Perform multiple image processing to extract motion \nd) Create a motion map on the generated image of the floor. \nRegister: Please click here to register. \nBiography: 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.
URL:https://www.ieeetoronto.ca/event/python-project-based-workshop-how-to-track-motion-from-bird-eye-multiple-camera-perspectives/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201113T100000
DTEND;TZID=America/Toronto:20201113T120000
DTSTAMP:20260711T063806
CREATED:20210430T023717Z
LAST-MODIFIED:20210501T000953Z
UID:10000217-1605261600-1605268800@www.ieeetoronto.ca
SUMMARY:Python Project-based Workshop: How to build your own intelligent agent
DESCRIPTION:On Friday\, November 13\, 2020 at 10:00 a.m.\, Enas Tarawneh will present “Python Project-based Workhsop: How to build your own intelligent agent”. \nDay & Time: Friday\, November 13\, 2020\n10:00 a.m. – 12:00 p.m. \nSpeaker: Enas Tarawneh \nOrganizers: IEEE Toronto WIE\, IM/RA\, York University WiCSE \nLocation: Virtual \nContact: Ayda Naserialiabadi \nAbstract: The workshop will focus on creating an intelligent agent that can listen to questions given through natural language and generate natural language responses. The workshop will also dabble into customizing the voice used in these responses. This workshop includes: \na) Programming speech recognition. \nb) Leveraging cloud-based resources such as speech-to-text\, text-to-speech and AI querying to generate responses. \nc) Connect these together to create a turn taking intelligent agent. \nd) Customizing the voice used in these generated responses. \nRegister: Please click here to register. \nBiography: 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.
URL:https://www.ieeetoronto.ca/event/python-project-based-workshop-how-to-build-your-own-intelligent-agent/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201006T180000
DTEND;TZID=America/Toronto:20201006T200000
DTSTAMP:20260711T063806
CREATED:20210430T023716Z
LAST-MODIFIED:20210501T000504Z
UID:10000337-1602007200-1602014400@www.ieeetoronto.ca
SUMMARY:Career Night Series: Writing an Effective CV
DESCRIPTION:On Tuesday\, October 6\, 2020 at 6:00 p.m.\, IEEE Toronto WIE and IM/RA will host “Career Night Series: Writing an Effective CV”. \nDay & Time: Tuesday\, October 6\, 2020\n6:00 p.m. – 8:00 p.m. \nOrganizers: IEEE Toronto WIE\, IM/RA\, Ryerson Computer Science \nLocation: Virtual \nContact: Wincy Li \nDescription: Not sure what the difference is between a resume and a CV? Unclear about how to structure your CV or what content to include? Join us for this webinar to learn how to construct an effective CV! \nIf you require any accessibility needs\, please contact Camara Chambers at c.chambers@ryerson.ca. \nRegister: Please visit https://lnkd.in/gBaMf9y to register.
URL:https://www.ieeetoronto.ca/event/career-night-series-writing-an-effective-cv/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201006T093000
DTEND;TZID=America/Toronto:20201006T212900
DTSTAMP:20260711T063806
CREATED:20210430T023716Z
LAST-MODIFIED:20210501T000243Z
UID:10000339-1601976600-1602019740@www.ieeetoronto.ca
SUMMARY:IEEE Day
DESCRIPTION:IEEE Toronto Section is inviting you to our VIRTUAL celebration of IEEE Day on Tuesday\, October 6\, 2020! \n\nDay & Time: Tuesday\, October 6\, 2020\n10:00 a.m. – 3:00 p.m. \nSpeakers: Dr. Rasheed Hussain\, Dr. Melike Erol-Kantarci\, Dr. Sahar Rahmani\, Dr. Sarath Chandar\, Dr. Haniyeh Yousefpour \nOrganizers: IEEE Toronto Section\, IEEE Toronto WIE \nLocation: Virtual – Zoom \nContact: Dustin Dunwell\, Maryam Davoudpour \nRegister: Please visit https://events.vtools.ieee.org/m/239738 for the Zoom link and to register. \nAgenda: \n\n\n\n\n10:00 a.m. – 11:00 a.m.\nPanel\nModerator: Dr. Fatima Hussain\nDr. Melike Erol-Kantarci\nDr. Sahar Rahmani\n\n\n11:00 a.m. – 12:00 p.m.\nKeynote\nDr. Rasheed Hussain\n\n\n12:00 p.m. – 1:00 p.m.\nBreak\n\n\n1:00 p.m. – 2:00 p.m.\nTech Talk\nDr. Sarath Chandat\, MILA\n\n\n2:00 p.m. – 3:00 p.m.\nTech Talk\nDr. Haniyeh Yousefpour\n\n\n\n\n  \nBiographies: \nRasheed Hussain\, PhD\, SMIEEE\nTopic: The Role of APIs in Connected and Autonomous Cars: A Case for Critical Applications \n\n\n\nRasheed Hussain is working as an Associate Professor and the Director of Institute of Information Security and Cyber-Physical Systems at Innopolis University\, Innopolis\, Russia. He is also the head of Networks and Blockchain Lab at Innopolis University and serves as an ACM Distinguished Speaker. \nHe is a senior member of IEEE\, member ACM\, and serves as an editorial board member for various journals including IEEE Access\, IEEE Internet Initiative\, Internet Technology Letters\, Wiley\, Cluster Computing\, Springer\, and serves as a reviewer for most of the IEEE transactions\, Springer and Elsevier Journals. He also serves as technical program committee member and chair of various conferences such as IEEE VTC\, IEEE VNC\, IEEE Globecom\, IEEE ICCVE\, IEEE ICC\, ICCCN\, and so on. He is a certified trainer for Instructional Skills Workshop (ISW) and a recipient of Netherland’s University Teaching Qualification (Basis Kwalificatie Onderwijs\, BKO). His research interests include Information Security and Privacy and particularly security and privacy issues in Vehicular Ad Hoc NETworks (VANETs)\, vehicular clouds\, and vehicular social networking\, applied cryptography\, Internet of Things\, Content-Centric Networking (CCN)\, cloud computing\, API security\, and blockchain. Currently he is working on the machine and deep learning for IoT security and API security. \n\nMelike Erol-Kantarci\, PhD.\, P.Eng.\, SMIEEE\nTopic: AI-enabled wireless networks: Opportunities and Challenges Towards 6G \n\n\n\nMelike Erol-Kantarci is Tier 2 Canada Research Chair in AI-enabled Next-Generation Wireless Networks and associate professor at the School of Electrical Engineering and Computer Science at the University of Ottawa. She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She has over 140 peer-reviewed publications which have been cited over 5000 times and she has an h-index of 37. She is selected to the 2019 list of “N2Women: Stars in Computer Networking and Communications”. She has received the IEEE Communication Society Best Tutorial Paper Award and the Best Editor Award of the IEEE Multimedia Communications Technical Committee in 2017\, in addition to several other best paper awards. She is the co-editor of three books on smart grids and smart cities. She has delivered 40+ tutorials\, plenary talks and seminars around the globe. She has acted as the general chair or technical program chair for many international IEEE conferences and workshops. Most recently\, she is the TPC co-chair for IEEE CAMAD 2020\, a symposium co-chair for IEEE Globecom 2020\, and a track co-chair for IEEE SmartGridComm 2020. She is a senior member of the IEEE. Her main research interests are AI-enabled wireless networks\, 5G and 6G wireless communications\, smart grid\, electric vehicles\, Internet of things and wireless sensor networks. \n\nSahar Rahmani\, PhD\nWork Domain: Data scientist on digital/cyber crime detection \n\n\n\nDr. Sahar Rahmani is the Director of the Data Science team at the Global Cyber Security team at RBC. Her role involves leading a team of data scientists and machine learning engineers to provide AI solutions for detecting the ever-changing landscape of cyber/digital crime. She is responsible for implementing scalable real-time machine learning solutions for our stakeholders’ security related problems. Her team\, also brings insight and analytics to RBC’s controls\, and risks to help executives make data-driven strategic decisions. Her continuous encouragement and emphasizing on innovations in the application of AI/ML in digital risk\, resulted in solving business problems in effective ways\, creating multiple patents\, and presenting multiple conference talks. She has a PhD in Astrophysics from the Western University\, where she applied big data analysis and data science models on astronomical data.
URL:https://www.ieeetoronto.ca/event/ieee-day/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200922T180000
DTEND;TZID=America/Toronto:20200922T200000
DTSTAMP:20260711T063806
CREATED:20210430T023715Z
LAST-MODIFIED:20210501T000004Z
UID:10000335-1600797600-1600804800@www.ieeetoronto.ca
SUMMARY:Career Night Series: Which Direction Should I Take with My Career?
DESCRIPTION:On Tuesday\, September 22\, 2020 at 6:00 p.m.\, IEEE Toronto WIE will host the webinar “Career Night Series: Which Direction Should I Take with My Career?”. \nDay & Time: Tuesday\, September 22\, 2020\n6:00 p.m. – 8:00 p.m. \nOrganizers: IEEE Toronto WIE\, Ryerson Computer Science \nLocation: Virtual – Webinar \nContact: Wincy Li \nDescription: Not sure whether to pursue a PhD or Postdoc? Unclear about your career options? \nIn this webinar\, you will learn how to research the labour market so that you will be empowered with the tools and resources you need for career decision making and planning. \nIf you require any accessibility needs\, please contact Wincy at wincyli@ryerson.ca as soon as possible. \nRegister: Click here to visit the registration page.
URL:https://www.ieeetoronto.ca/event/career-night-series-which-direction-should-i-take-with-my-career/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200910T110000
DTEND;TZID=America/Toronto:20200910T120000
DTSTAMP:20260711T063806
CREATED:20210430T023715Z
LAST-MODIFIED:20210430T235753Z
UID:10000333-1599735600-1599739200@www.ieeetoronto.ca
SUMMARY:API Economy: Managing Security and Compliance Risks at Academia
DESCRIPTION:On Thursday\, September 10\, 2020 at 11:00 a.m.\, Sherry Qin will present “API Economy: Managing Security and Compliance Risks at Academia”. \nDay & Time: Thursday\, September 10\, 2020\n11:00 a.m. – 12:00 p.m. \nSpeaker: Sherry Qin \nOrganizer: IEEE Toronto WIE\, York University WiCSE \nContact: Hina Tabassum\, Ayda Naserialiabadi \nAbstract: Application Programing Interfaces (APIs) have transformed our digital world by connecting data\, processes\, and people. There are thousands of Open APIs publicly available for creating innovative applications dealing with Public Services\, Health Sciences\, IoT\, Artificial Intelligence\, Social Media\, and many others contributing to the Digital Economy. Researchers and students in academia are increasingly using Open APIs for various research/training related digital services and other academic purposes. \nOpen APIs offer great benefits\, but they come with security and legal risks. Unfortunately\, not everyone (especially students) are aware of the underlying security and compliance challenges. Furthermore\, there are no easily accessible repositories that provide security/legal assessments on these publicly available APIs. Existing repositories such as ProgrammableWeb\, API.io\, RapidAPI.com\, APIs.guru and others are best at providing API endpoints\, categories\, and other information\, which are not sufficient to address the security and legal concerns. \nIn this presentation\, speaker will discuss about the state of Open APIs from design and security perspectives that have been assessed by analyzing thousands of Open APIs from hundreds of vendors. Speaker will also talk about legal risks that should be avoided while using Open APIs. Overall\, audience will learn about how to: (1) take advantage of the myriad of Open APIs; (2) accelerate research and product development; (3) meet compliance regulations; (4) reduce security/legal/privacy risks to make data-driven applications more INNOVATIVE (through Open APIs) yet SECURE (from cyber-attacks) and COMPLIANT (with Canadian privacy laws\, GDPR\, EU-US Privacy Shield\, and other regulations). \nRegister: Please visit here for more information and to register. \nZoom Link: https://us02web.zoom.us/j/3263892360 \nBiography:  \nName: Sherry Qin\nEducation: University of British Columbia Master of Business Analytics\nCurrent role: Business and Market Associate at TeejLab\nCurrent work: Expanding community and increasing public awareness of API Security by holding industry and academic reaching-out events. Have successfully organized several online Fireside Chats.
URL:https://www.ieeetoronto.ca/event/api-economy-managing-security-and-compliance-risks-at-academia/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200903T180000
DTEND;TZID=America/Toronto:20200903T190000
DTSTAMP:20260711T063806
CREATED:20210430T023714Z
LAST-MODIFIED:20210430T235647Z
UID:10000331-1599156000-1599159600@www.ieeetoronto.ca
SUMMARY:How to Start an App Idea Today that Gets Customers!
DESCRIPTION:On Thursday\, September 3\, 2020 at 6:00 p.m.\, Aliya Amershi\, Tech Coach & Startup Founder at Codefree App Launch will present “How to Start an App Idea Today that Gets Customers!”. \nDay & Time: Thursday\, September 3\, 2020\n6:00 p.m. – 7:00 p.m. \nOrganizer: IEEE Toronto WIE \nLocation: Virtual – Zoom \nContact: Ayda Naserialiabadi \nProgram Outline: \n\nMy “5-Step System” to get to app launch without all the guesswork\, inspired by proven Silicon Valley tech startup methods.\nThe biggest mistake most entrepreneurs make without even knowing and why building the “perfect” app can fail.\nHow to startup without depending on investors\, finding co-founders\, or paying for developers.\nWhat I did to go viral and start experiencing exponential growth!\nThe latest tools on the block to make your app from scratch without having to write a single line of code.\nEntrepreneur mindset hacks to help break through your internal barriers so that you can get started today.\nWhy getting customers for just your app idea before you even build your app is important and how to start making some real progress.\n\nRegister: https://www.eventbrite.ca/e/118328619085/ \nBiography: \nAliya Amershi\, Tech Coach & Startup Founder @ Codefree App Launch \nAliya is on a mission to help ambitious women entrepreneurs break into tech and build an app idea that gets customers fast without all of the unnecessary barriers to entry. Aliya’s unique online accelerator is focused on empowering women to quickly get their app idea out to market and start making a positive impact without having to pitch investors\, learn code\, or find developers. \nAliya is a former engineer turned entrepreneur with over 20 years of technology experience and 5 years of startup experience. She has helped build multiple popular apps and tech products\, including the Emmy Award-winning Nick App. She has held senior tech and leadership roles at Fortune 500 Enterprises\, built two bootstrapped Startups\, and served as a local director for a Silicon Valley-based Incubator. In addition\, Aliya is a member of the Young Entrepreneur Council and regularly contributes to Forbes and Inc. for her expert advice on technology and entrepreneurship. One of her favorite quotes she goes by is: “If you decide not to quit\, the only option is to win!”.
URL:https://www.ieeetoronto.ca/event/how-to-start-an-app-idea-today-that-gets-customers/
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200824T183000
DTEND;TZID=America/Toronto:20200824T203000
DTSTAMP:20260711T063806
CREATED:20210430T023713Z
LAST-MODIFIED:20210430T235432Z
UID:10000328-1598293800-1598301000@www.ieeetoronto.ca
SUMMARY:2D Game Development in Unity with C# - Session 5
DESCRIPTION:On Monday\, August 24\, 2020 at 6:30 p.m.\, IEEE Ryerson Computational Intelligence Chapter will be hosting “2D Game Development in Unity with C# – Session 5”. \nDay & Time: Monday\, August 24\, 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 5 focuses on polishing your 2D game. \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-5/
LOCATION:Online via Zoom
CATEGORIES:Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20200819T100000
DTEND;TZID=America/Toronto:20200819T110000
DTSTAMP:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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:20260711T063806
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
END:VCALENDAR