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DTSTART;TZID=America/Toronto:20161111T113000
DTEND;TZID=America/Toronto:20161111T123000
DTSTAMP:20261105T154001
CREATED:20210430T002607Z
LAST-MODIFIED:20210430T010020Z
UID:10000084-1478863800-1478867400@www.ieeetoronto.ca
SUMMARY:Digital Health Initiatives at eHealth Ontario
DESCRIPTION:Friday November 11\, 2016 at 11:30 a.m. Hosna Sedghi\, Project Manager at eHealth Ontario\, will be presenting “Digital Health Initiatives at eHealth Ontario”. \nSpeaker: Hosna Sedghi\, MSc\, PMP\nProject Manager\, eHealth Ontario \nDay & Time: Friday\, November 11\, 2016\n11:30 a.m. – 12:30 p.m. \nLocation: Room A3-21\, Centennial College\, Progress Campus\n941 Progress Ave.\, Toronto\, Ontario\, M1G 3T8\nMap: http://www.centennialcollege.ca/about-centennial/contact-us/campus-locations/ \nOrganizers: IEEE Toronto WIE\, Nicoleta Zouri\nIEEE Toronto WIE\, Magnetics\, Measurement/Instrumentation-Robotics\, Maryam Davoudpour \nRegistration: Registration is free\, but space is limited. Please register via email to Nicoleta Zouri \nAbstract: eHealth Ontario was established by the provincial government in September 2008 as an independent agency of the Ontario Ministry of Health and Long-Term Care. eHealth Ontario is enabling physicians and health care providers to establish and maintain electronic health records (EHRs) for all of Ontario’s 13 million residents. \nBiography: With a background in software engineering Hosna Sedghi has worked as a project manager at eHealth Ontario for the past 3 years and as a project lead previous to that. Hosna has extensive experience with HL7 standards\, business analysis\, system analysis\, integration\, and health information.
URL:https://www.ieeetoronto.ca/event/digital-health-initiatives-at-ehealth-ontario/
LOCATION:Room A3-21\, Centennial College\, Progress Campus\, 941 Progress Ave.\, Toronto\, Ontario\, M1G 3T8
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20161116T173000
DTEND;TZID=America/Toronto:20161116T203000
DTSTAMP:20261105T154001
CREATED:20210430T002608Z
LAST-MODIFIED:20210430T005828Z
UID:10000087-1479317400-1479328200@www.ieeetoronto.ca
SUMMARY:Health Informatics Evening at Centennial College
DESCRIPTION:Wednesday November 16\, 2016 at 5:30 p.m. Igor Sirkovich\, Vikki Leung\, Karim Keshavjee and Jimmy Poulin\, will be presenting “Health Informatics Evening at Centennial College”. \nSpeakers & Agenda: 5:15 to 5:30 Event Registration \n1. Igor Sirkovich from 5:30 PM to 6:00 PM\nFounder and CEO of Xpertera\nHL7 FHIR and eHealth Architecture Consultant at Ontario Ministry of Health and Long-Term Care\nPresentation title: Current initiatives at the Ministry of Health and eHealth Ontario\, pan-Canadian standards collaborative\, and health informatics standards (HL7 FHIR)\, Xpertera introduction. \n2. Vikki Leung from 6:00 PM to 6:30 PM\nFull Stack Developer at Interdev Technologies Inc.\nPresentation title: Technology used for Community Paramedic Services\, Interdev Technologies \n3. Karim Keshavjee\, MD from 6:30 PM to 7:00 PM\nCEO of InfoClin Inc.\nAdjunct Professor at University of Toronto\, University of Victoria\nVisiting Scholar at Ryerson University\nAssociate Member at Centre for Evaluation of Medicine\, McMaster University\nNumerous publications on Health Informatics studies and medicine\nPresentation title: Health Apps by Design: A reference architecture for mobile apps for health \n4. Jimmy Poulin from 7:00 PM to 7:30 PM\nDirector of Operations at m-Health Solutions\nPresentation title: ECG signal remote collection via mobile wireless external recorder and smartphone. \n5. NSERC speaker (name will be announced later) from 7:30 PM to 8:00 PM\nPresentation: Funding opportunities for College Students in Science and Technologies programs. \n8:00 to 8:30 PM Networking \nDay & Time: Wednesday\, November 16\, 2016\n5:30 p.m. – 8:30 p.m. \nLocation: Room L1-02\, Centennial College\, Progress Campus\n941 Progress Ave.\, Toronto\, Ontario\, M1G 3T8\nMap: http://www.centennialcollege.ca/about-centennial/contact-us/campus-locations/ \nOrganizers: IEEE Toronto WIE\, Nicoleta Zouri\nIEEE Toronto WIE\, Magnetics\, Measurement/Instrumentation-Robotics\, Maryam Davoudpour \nRegistration: Registration is free\, but space is limited. Please register via email to Nicoleta Zouri \nAbstract: Offered as part of the Experiential Learning process for students in Health Informatics Program at Centennial College\, this event facilitate skills and knowledge transfer between audience and speakers through an interactive session. Digital health solutions will be discussed and software demos will be presented.
URL:https://www.ieeetoronto.ca/event/health-informatics-evening-at-centennial-college/
LOCATION:Room L1-02\, Centennial College\, Progress Campus 941 Progress Ave.\, Toronto
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20161118T120000
DTEND;TZID=America/Toronto:20161118T130000
DTSTAMP:20261105T154001
CREATED:20210430T002608Z
LAST-MODIFIED:20210430T005748Z
UID:10000088-1479470400-1479474000@www.ieeetoronto.ca
SUMMARY:Operational-Log Analysis for Big Data Systems: Challenges and Solutions
DESCRIPTION:Friday November 18\, 2016 at 12:00 p.m. Dr. Andriy Miranskyy\, Assistant Professor at the Department of Computer Science\, Ryerson University\, will be presenting “Operational-Log Analysis for Big Data Systems: Challenges and Solutions”. \nSpeaker: Dr. Andriy Miranskyy\nAssistant Professor\, Department of Computer Science\, Ryerson University \nDay & Time: Friday\, November 18\, 2016\n12:00 p.m. – 1:00 p.m. \nLocation: George Vari Centre for Computing and Engineering\nRyerson University\nRoom: ENG 288\n245 Church Street\, Toronto\, Ontario M5B 2K3\nMap – http://www.ryerson.ca/maps – Look for ENG \nRegistration: Registration is free\, but space is limited. Please register via this link: http://tinyurl.com/systemsEvent \nOrganizers: IEEE Toronto Systems Chapter\, Alexei Botchkarev albot@ieee.org\nIEEE Toronto WIE\, Magnetics\, Measurement/Instrumentation-Robotics and Computer Science Department of Ryerson University\nIEEE Toronto WIE Chair: Maryam Davoudpour maryam.davoudpour@ieee.org \nAbstract: Big data systems (BDSs) are complex\, consisting of multiple interacting hardware software components\, such as distributed compute nodes\, networking\, databases\, middleware\, business intelligence layer\, and high availability infrastructure. Any of these components can fail. Finding the failures’ root causes is extremely laborious. Analysis of BDS-generated logs can speed up this process. The logs can also help improve testing processes\, detect security breaches\, customize operational profiles\, and aid with any other tasks requiring runtime-data analysis. \nHowever\, practical challenges hamper log analysis tools’ adoption. The logs emitted by a BDS can be thought of as big data themselves. When working with large logs\, practitioners face seven main issues: scarce storage\, unscalable log analysis\, inaccurate capture and replay of logs\, inadequate log-processing tools\, incorrect log classification\, a variety of log formats\, and inadequate privacy of sensitive data. This talk describes the challenges and practical solutions faced while building and institutionalizing dynamic analysis tools in the industry. \nBiography: Andriy Miranskyy is an assistant professor at the Department of Computer Science\, Ryerson University. His research interests are in the area of mitigating risk in software engineering\, focusing on software quality assurance\, program comprehension\, software requirements\, project risk management\, Big Data\, and Green IT. Andriy received his Ph.D. in Applied Mathematics at the University of Western Ontario. He has 17 years of software engineering experience in information management and pharmaceutical industries. Prior to joining Ryerson\, Andriy worked as a software engineer in the IBM Information Management division at the IBM Toronto Software Laboratory; currently\, he is the Faculty Fellow of the IBM Centre for Advanced Studies. He has served as Guest Editor for a special edition of IEEE Software as well as organizer\, committee member\, and reviewer for several software engineering workshops and conferences.
URL:https://www.ieeetoronto.ca/event/operational-log-analysis-for-big-data-systems-challenges-and-solutions/
LOCATION:Room: ENG 288\, 245 Church Street\, Toronto\, Ontario M5B 2K3
CATEGORIES:Instrumentation & Measurement,Magnetics,Systems,Women in Engineering
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DTSTART;TZID=America/Toronto:20161121T110000
DTEND;TZID=America/Toronto:20161121T120000
DTSTAMP:20261105T154001
CREATED:20210430T002608Z
LAST-MODIFIED:20210430T005711Z
UID:10000089-1479726000-1479729600@www.ieeetoronto.ca
SUMMARY:AI-Based Software Defect Predictors: Applications and Benefits and Lessons Learned
DESCRIPTION:Monday November 21\, 2016 at 11:00 a.m. Dr. Ayse Basar Bener\, professor and director of Data Science Laboratory at Ryerson University\, will be presenting “AI-Based Software Defect Predictors: Applications and Benefits and Lessons Learned”. \nSpeaker: Dr. Ayse Basar Bener\nProfessor\, Director of Data Science Laboratory\, Department of Mechanical and Industrial Engineering\nDirector of Big Data\, Office of Provost and Vice President Academic\nRyerson University \nDay & Time: Monday\, November 21\, 2016\n11:00 a.m. – 12:00 p.m. \nLocation: KHE 225\, Ryerson University\, 340 Church Street\, Toronto \nContact: Maryam Davoudpour \nOrganizer: WIE\, Magnetics\, Measurement/Instrumentation-Robotics\, Computer Science Department of Ryerson University \nAbstract: Software analytics guide practitioners in decision making throughout the software development process. In this context\, prediction models can help managers efficiently organize their resources and identify problems by analyzing patterns on existing project data in an intelligent and meaningful manner. In this talk I will share my experiences building and deploying AI (machine learning) models in software organizations over 15 years. We have encountered similar data analytics patterns in diverse organizations and in different problem cases. I will give examples from deployed projects and discuss these patterns following a “software analytics” framework: problem identification\, data collection\, descriptive statistics\, and decision making. \nBiography: Dr. Ayse Basar Bener is a professor and the director of Data Science Laboratory (DSL) in the Department of Mechanical and Industrial Engineering\, Ryerson University. She is the director of Big Data in the Office of Provost and Vice President Academic at Ryerson University. She is a faculty research fellow of IBM Toronto Labs Centre for Advance Studies\, and affiliate research scientist in St. Michael’s Hospital in Toronto. Her current research focus is big data applications to tackle the problem of decision-making under uncertainty by using machine learning methods and graph theory to analyze complex structures in big data to build recommender systems and predictive models. She is a member of AAAI\, INFORMS\, AIS\, and senior member of IEEE.
URL:https://www.ieeetoronto.ca/event/ai-based-software-defect-predictors-applications-and-benefits-and-lessons-learned/
LOCATION:KHE 225\, Ryerson University\, 340 Church Street\, Toronto
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20161124T120000
DTEND;TZID=America/Toronto:20161124T130000
DTSTAMP:20261105T154001
CREATED:20210430T002609Z
LAST-MODIFIED:20210430T005532Z
UID:10000091-1479988800-1479992400@www.ieeetoronto.ca
SUMMARY:Who Are We Studying in Social Media: Bots or Humans?
DESCRIPTION:Thursday November 24\, 2016 at 12:00 p.m. Dr. Anatoliy Gruzd\, Associate Professor of Ted Rogers School of Management and Canada Research Chair in Social Media Data Stewardship\, will be presenting “Who Are We Studying in Social Media: Bots or Humans?”. \nSpeaker: Dr. Anatoliy Gruzd\nAssociate Professor\nTed Rogers School of Management\, Ryerson University\nCanada Research Chair in Social Media Data Stewardship \nDay & Time: Thursday\, November 24\, 2016\n12:00 p.m. – 1:00 p.m. \nLocation: Room ENG 288\, George Vari Centre for Computing and Engineering\, 245 Church Street\nRyerson University\, Toronto\, Ontario\, M5B 2K3\nMap: http://www.ryerson.ca/maps – Look for ENG \nOrganizers: IEEE Toronto Systems Chapter\, Alexei Botchkarev\nIEEE Toronto WIE\, Magnetics\, Measurement/Instrumentation-Robotics\, Computer Science Department of Ryerson University\nMaryam Davoudpour \nRegistration: Registration is free\, but space is limited. Please register via http://tinyurl.com/systemsChapterEvent24 \nAbstract: Researchers studying various online and computer-mediated communities used to be able to argue that the online is an extension of the offline\, and that offline and online are just different slices of real life. But the increasing number of bots in our datasets and the increasing use of algorithmic filtering by social media giants are widening the gap between online and offline\, and between computer-mediated and algorithm-driven communication. This in turn makes some online data less reliable\, at least for those of us studying human behavior. It also begs the question\, if we are using data from social media for modelling\, are we modelling human behavior in social media or simply reverse engineering how bots and other algorithms operate? Therefore\, there is an urgent need to better understand the nature of bots and algorithmic filtering\, and their influence on users’ online interactions\, not just from a computational\, but also from sociological perspective. This talk will discuss some of the key challenges and possible solutions to detecting social bots in the context of conducting social media research. \nBiography: Dr. Anatoliy Gruzd is a Canada Research Chair in Social Media Data Stewardship\, Associate Professor in the Ted Rogers School of Management at Ryerson University. He is also the Director of the Social Media Lab and a co-editor of a multidisciplinary journal on Big Data and Society published by Sage. Dr. Gruzd’s research initiatives explore how the advent of social media and the growing availability of social big data are changing the ways in which people communicate\, collaborate and disseminate information and how these changes impact the social\, economic and political norms and structures of modern society. Dr. Gruzd and his lab are also actively developing and evaluating new approaches and tools to support social media data analytics and stewardship. \nHis research and commentaries have been reported across Canada and internationally in various mass media outlets such as Foreign Affairs\, Los Angeles Times\, Nature.com\, The Atlantic\, The Globe and Mail\, The National Post\, The Canadian Press\, CBC TV\, CBC Radio\, CTV and Global TV.
URL:https://www.ieeetoronto.ca/event/who-are-we-studying-in-social-media-bots-or-humans/
LOCATION:Room ENG 288\, George Vari Centre for Computing and Engineering\, 245 Church Street
CATEGORIES:Instrumentation & Measurement,Magnetics,Systems,Women in Engineering
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