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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180226T110000
DTEND;TZID=America/Toronto:20180226T150000
DTSTAMP:20260712T193145
CREATED:20210430T014016Z
LAST-MODIFIED:20210430T220517Z
UID:10000188-1519642800-1519657200@www.ieeetoronto.ca
SUMMARY:Introduction to Vehicle Safety\, Simulation Tools for Autonomous Transportation and human-machine interface (HMI)
DESCRIPTION:Monday\, February 26th at 11:00 a.m.\, come to the University of Ontario Institute of Technology (UOIT) to learn about vehicle safety and relevant restraint systems and more at the “Introduction to Vehicle Safety\, Simulation Tools for Autonomous Transportation and human-machine interface (HMI)” seminar. \nDay & Time: Monday\, February 26\, 2018\n11:00 a.m. ‐ 12:30 p.m.: UB2080\n12:30 p.m. ‐ 3:00 p.m.: SIRC 2020A \nSpeakers:\nDr. Stefan Dominico\nProfessor\, Engineering mechanics and simulations\, Frankfurt University of Applied Sciences\, Frankfurt\, Germany \nMr. Mohsen Tayefeh\, M. Eng.\nRegional Sales Manager\, SimuTech Group \nMr. Roman Duplak P.Eng.\, M.Eng.\nBusiness Development Manager\, SimuTech Group \nDr. Moustafa El-Gindy\, PEng\nAssociate Professor\, Department of Mechanical Automotive and Manufacturing Engineering\, University of Ontario Institute of Technology \nMr. Walter Hearn\nArea Director\, ANSYS\, Inc. \nLocation: University of Ontario Institute of Technology (UOIT)\n2000 Simcoe St N\nOshawa\, ON L1H 7K4 \nContact: Dr. Ahmad Barari\, PEng \nRegister: http://go.simutechgroup.com/autonomous-systems-uoit \nOrganizer: IEEE Toronto Women in Engineering\, IEEE Toronto Instrumentation-Measurement/Robotics-Automation\, IEEE Toronto Magnetics \nAbstract: Reducing the number of people killed in road accidents is an important and challenging task. Beside other aspects improving the vehicle safety helps to achieve this goal. A lot of effort is being made by car manufacturers all over the world to improve the so-called safety performance of newly developed vehicles. \nThis workshop will give a short introduction to vehicle safety and relevant restraint systems with a focus on the deployment of the restraint systems (“airbag sensing”) used to improve the protection of people (e.g. vehicle occupants) involved in a vehicle accident. Also\, special focus will be on broad capabilities for simulating autonomous vehicles and advanced driver assistance systems — everything from high-fidelity\, physics-based sensor modeling to ISO26262 and AUTOSAR compliant embedded software and human-machine interface development tools. \nThe following topics will be covered: \nIntroduction to Vehicle Safety \nEngineering Simulation for Safety\n– Driving scenarios\n– Virtual road test autonomous vehicles \nRestraint Systems and Airbag Sensing\n– Restraint Systems\n– Introduction to Airbag Sensing\n– Airbag Sensing (Calibration) Development\n– The future of Airbag Sensing\n– Lessons Learned (for real live) \nVehicle Dynamics and Crash Simulation Research \nFuture Trends\n– The race to develop autonomous vehicles (AV)\n– Advanced driver assistance systems (ADAS)\n– Autonomous driving technology — involving radar\, lidar\, V2X communication\, sensor fusion and deep learning\n– Safe automated driving \nBiography:\nDr. Stefan Dominico\nDr. Dominico has extensive working experience in German auto-industries including vehicle safety development for Adam Opel AG\, and simulation at an engineering supplier (IHF – Ingenieurbüro Huß & Feickert)\, and several years research experience on nonlinear finite element simulations at the Universität Kassel. \nMr. Mohsen Tayefeh\, M. Eng.\nMr. Tayefeh has been consultant to various industries in implementation of advanced technologies through partnership strategies for many years. He is an expert in computer aided engineering\, finite element analysis and simulation. He also has extensive experience to design and manufacturing in automotive sector. \nMr. Roman Duplak P.Eng.\, M.Eng.\nAs a trusted advisor Roman helps companies to implement high technologies. Prior to this he worked as a Business Segment Director for the largest Bus Manufacturer in North America (i.e. New Flyer Industries) and as a Program Manager for Boeing. Moreover\, his technical background consisted of working as a Chief Engineer in electromechanical actuation technologies\, which brings lots of added value to this seminar. \nDr. Moustafa El-Gindy\, PEng\nDr. El-Gindy is a leading researcher on vehicle safety and crash worthiness analysis. His research interests includes articulated heavy vehicles\, bus testing and simulation\, crash testing and simulations\, high-velocity impact and ballistics simulation\, self-steering axles simulation\, Tire mechanics\, and virtual human modelling. \nMr. Walter Hearn\nMr. Hearn has been in leadership roles with ANSYS for more than 10 years. Currently he is directing multiple direct and indirect teams across the Central U.S. and Canada. His successful strategies in supervising partnerships with companies will bring significant added value and we will learn many practical success stories from him during this seminar.
URL:https://www.ieeetoronto.ca/event/introduction-to-vehicle-safety-simulation-tools-for-autonomous-transportation-and-human-machine-interface-hmi/
LOCATION:University of Ontario Institute of Technology\, 2000 Simcoe St N\, Oshawa\, ON L1H 7K4\, Canada
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180216T120000
DTEND;TZID=America/Toronto:20180216T133000
DTSTAMP:20260712T193145
CREATED:20210430T014015Z
LAST-MODIFIED:20210430T220421Z
UID:10000185-1518782400-1518787800@www.ieeetoronto.ca
SUMMARY:Hybrid Biomedical Optics Imaging and Instrumentation
DESCRIPTION:Friday\, February 16th at 12:15 p.m.\, Nima Tabatabaei\, Assistant Professor in the Department of Mechanical Engineering and Director of Hybrid Biomedical Optics Laboratory at York University\, will be presenting “Hybrid Biomedical Optics Imaging and Instrumentation”. \nDay & Time: Friday\, February 16\, 2018\n12:15 p.m. ‐ 1:15 p.m. \nSpeaker: Nima Tabatabaei\nAssistant Professor\, Department of Mechanical Engineering\nDirector\, Hybrid Biomedical Optics Laboratory\nYork University\, Canada \nLocation: Room: ENG 210\, George Vari Centre for Computing and Engineering\n245 Church Street\nToronto\, Ontario M5B 2K3 \nContact: Saba Sedghizade\, Maryam Davoudpour \nOrganizer: WIE IEEE Toronto\, IEEE Ryerson Student Chapter\, Instrumentation-Measurement/Robotics-Automation\, Magnetics\, and Computer Science Department of Ryerson University \nAbstract: The focus of professor Tabatabaei’s research is on the design and instrumentation of thermal and optical imaging technologies and devices with applications in medical diagnosis and screening. Optics-based medical devices are of particular interest to him due to their intrinsic ability of revealing malignancies in early stages. The early diagnosis of diseases improves the effectiveness of treatments\, promotes prevention rather than medical intervention\, and is probably the only approach for us to win the war on cancer. However\, one of the major challenges in optical imaging of endogenous tissue contrast is the poor specificity due to background signals from healthy tissues. Professor Tabatabaei’s research vision is to overcome this shortcoming by separating excitation and detection channels using Hybrid methods. In this scenario\, crosstalk between the channels\, selectively\, takes place by energy conversion at malignant sites that are sensitive to the excitation thus minimizing (if not eliminating) the signals originating form background health tissues. \nBiography: Nima Tabatabaei is an assistant professor in the Department of Mechanical Engineering and the director of Hybrid Biomedical Optics laboratory (http://www.HBOLab.ca) at the York University (Canada). He received his B.Sc. and M.Sc. in Materials Science and Engineering and Ph.D. in Mechanical Engineering (University of Toronto; 2012) before carrying out research at the Harvard Medical School and Wellman Center for Photomedicine as postdoctoral fellow. His research interests are design and development of hybrid biomedical optics imaging technologies for applications in early disease diagnosis and screening.
URL:https://www.ieeetoronto.ca/event/hybrid-biomedical-optics-imaging-and-instrumentation/
LOCATION:Room: ENG 210\, George Vari Centre for Computing and Engineering\, 245 Church Street\, Toronto\, Ontario M5B 2K3
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180215T123000
DTEND;TZID=America/Toronto:20180215T133000
DTSTAMP:20260712T193145
CREATED:20210430T014014Z
LAST-MODIFIED:20210430T220355Z
UID:10000183-1518697800-1518701400@www.ieeetoronto.ca
SUMMARY:Providing Better Customer Value and Benefits and IT Solutions
DESCRIPTION:Thursday\, February 15th at 12:30 p.m.\, Jeremy Gervais\, Software Engineer at Amazon\, will be presenting “Providing Better Customer Value and Benefits and IT Solutions”. \nDay & Time: Thursday\, February 15\, 2018 – 12:30 p.m. \nSpeaker: Jeremy Gervais\nSoftware Engineer\, Amazon \nLocation: Centennial College – Progress Campus\, room A3-17 \nContact: Nicoleta Zouri \nOrganizer: IEEE Toronto Women in Engineering\, IEEE Toronto Instrumentation-Measurement/Robotics-Automation \nAbstract: Amazon is striving to create new services\, user work flows and products. Some aspects that contribute to better customer value and benefits are a reduction of payment friction and reducing costs through efficient workflow.
URL:https://www.ieeetoronto.ca/event/providing-better-customer-value-and-benefits-and-it-solutions/
LOCATION:Centennial College – Progress Campus\, room A3-17
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180212T180000
DTEND;TZID=America/Toronto:20180212T200000
DTSTAMP:20260712T193145
CREATED:20210430T014014Z
LAST-MODIFIED:20210430T220335Z
UID:10000181-1518458400-1518465600@www.ieeetoronto.ca
SUMMARY:IEEE Ryerson Python Workshop 2
DESCRIPTION:IEEE Ryerson Student Branch\, IEEE Ryerson Computer Chapter\, WIE IEEE Toronto\, IEEE Computational Intelligence Chapter\, and Robotics/ Automation Chapter are Please to announce the second workshop of their series of python workshops. A series of 6 workshops will give the participants the ability to use the basics of python to help them in their study or workplace. At the end of these workshops there will be a certificate given to participants who attended these workshops. \nDay & Time: Monday\, February 12\, 2018\n6:00 p.m. ‐ 8:00 p.m. \nLocation: Ryerson University (Victoria Building\, Room VIC 301) \nContact: ieee.ryersonu@gmail.com \nOrganizer: IEEE Ryerson Student Branch\, IEEE Ryerson Computer Chapter\, IEEE Computational Intelligence Chapter\, WIE IEEE Toronto\, Instrumentation-Measurement/Robotics-Automation \nRegister at: https://www.eventbrite.com/e/ieee-ryerson-python-workshop-2-tickets-42931234478
URL:https://www.ieeetoronto.ca/event/ieee-ryerson-python-workshop-2/
LOCATION:Ryerson University (Victoria Building\, Room VIC 301)
CATEGORIES:Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180209
DTEND;VALUE=DATE:20180211
DTSTAMP:20260712T193145
CREATED:20210430T014014Z
LAST-MODIFIED:20210430T220305Z
UID:10000179-1518134400-1518307199@www.ieeetoronto.ca
SUMMARY:Big Data Hackathon
DESCRIPTION:IEEE Ryerson Student Chapter\, IEEE Ryerson Computer Chapter and IEEE Woman In Engineering are proud to present our first Big Data Hackathon\, in collaboration with the Clean Energy Zone. \nThis hackathon will bring the state of art techniques to energy forecasting\, bridge the academic research and industry practice\, elevate data analytics in power engineering education\, and engage the industry in smart grid energy forecasting challenges. The winner of this hackathon will get an exciting opportunity to work with the Clean Energy Zone to implement their solution in real life.
URL:https://www.ieeetoronto.ca/event/big-data-hackathon/
LOCATION:Ryerson University
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180208T143000
DTEND;TZID=America/Toronto:20180208T173000
DTSTAMP:20260712T193145
CREATED:20210430T014014Z
LAST-MODIFIED:20210430T220222Z
UID:10000177-1518100200-1518111000@www.ieeetoronto.ca
SUMMARY:Canada’s Robotics Moment
DESCRIPTION:Join us for an in depth discussion on Canada’s place amidst global trends and opportunities in the robotics market.\nCanada has a unique opportunity to leverage its international reputation in AI (artificial intelligence) to tap into the fast-growing commercial robotics market. Canada invested early and wisely in AI\, culminating in the recent explosion in investment\, commercial activity and global recognition. \nRobotics is the next frontier for innovation and investment. The Canadarm delivered international profile for executing high-stakes feats of robotic ingenuity. That success has been repeated in field after field without similar recognition. It’s time to bring thought leaders and stakeholders together to shape a comprehensive national robotics strategy. \nLed by Andra Keay\, Managing Director\, Silicon Valley Robotics\, speakers will explore the collaborations\, supports and partnerships needed to establish Canada as a global player in the commercial robotics market. A panel from industry\, government and academia will discuss Canada’s strengths and how to capitalize on them to build a vibrant robotics industry. Speakers include: \nAndra Keay\, Managing Director\, Silicon Valley Robotics\nDr. Molly Schoichet\, OC\, OOnt\, Chief Scientist\, Ontario\nHallie Siegel\, Innovation Strategist\nDr. Farzad Rayegani\, Dean of Applied Technology\, Humber College\nDr. William Melek\, Director of Mechatronics Engineering\, University of Waterloo \nDay & Time: Thursday\, February 8\, 2018\n2:30 p.m. ‐ 5:30 p.m. \nLocation: Autodesk Technology Centre\n661 University Avenue\, Suite 100\, MaRS Discovery District \nContact: Maryam Davoudpour \nOrganizer: WIE IEEE Toronto\, Instrumentation-Measurement/Robotics-Automation \nRVSP: https://www.eventbrite.com/e/canadas-robotics-moment-tickets-42391575343?aff=AIPromo \nAgenda: \n2:30 pm. Welcome\, Adriana Ieraci\, Founder\, GYBO Robotics Network \n2:35 pm. A National Robotics Strategy for Canada\, Hallie Siegel\, Innovation Strategist \n2:50 pm. Global Trends and Opportunities\, Andra Keay\, Managing Director\, Silicon Valley Robotics \n4:05 pm. Panel Discussion: Making it Happen \n5:00 pm. Networking \nSee the event brief for speaker bios and details.
URL:https://www.ieeetoronto.ca/event/canadas-robotics-moment/
LOCATION:Autodesk Technology Centre\, 661 University Avenue\, Suite 100\, MaRS Discovery District
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180205T180000
DTEND;TZID=America/Toronto:20180205T200000
DTSTAMP:20260712T193145
CREATED:20210430T012929Z
LAST-MODIFIED:20210430T220150Z
UID:10000175-1517853600-1517860800@www.ieeetoronto.ca
SUMMARY:Introduction to Python Workshop
DESCRIPTION:IEEE Ryerson Student Branch\, IEEE Ryerson Computer Chapter\, IEEE WIE\, IEEE Computational Intelligence Chapter\, and Robotics/ Automation Chapter are Please to announce the start of their series of python workshops. A series of 6 workshops will give the participants the ability to use the basics of python as well as Machine learning to help them in their study or workplace. At the end of these workshops there will be a certificate given to participants who attended these workshops. \nDay & Time: Monday\, February 5\, 2018\n6:00 p.m. ‐ 8:00 p.m. \nLocation: Ryerson University (Victoria Building\, Room VIC 301) \nContact: ieee.ryersonu@gmail.com \nOrganizer: IEEE Ryerson Student Branch\, IEEE Ryerson Computer Chapter\, IEEE Computational Intelligence Chapter\, WIE IEEE Toronto\, Instrumentation-Measurement/Robotics-Automation \nRVSP: https://www.eventbrite.com/e/ieee-ryerson-intro-to-python-workshop-tickets-42588313793
URL:https://www.ieeetoronto.ca/event/introduction-to-python-workshop/
LOCATION:Ryerson University (Victoria Building\, Room VIC 301)
CATEGORIES:Instrumentation & Measurement,Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20180202T121500
DTEND;TZID=America/Toronto:20180202T131500
DTSTAMP:20260712T193145
CREATED:20210430T012928Z
LAST-MODIFIED:20210430T220121Z
UID:10000172-1517573700-1517577300@www.ieeetoronto.ca
SUMMARY:High Throughput CMOS Sensors and Actuators: An Emerging Technology for Automation of Biological Laboratories
DESCRIPTION:Friday\, February 2nd at 12:15 p.m.\, Dr. Ebrahim Ghafar-Zadeh (PhD\, P.Eng)\, Director of Biologically Inspired Sensors and Actuators Laboratory\, will be presenting “High Throughput CMOS Sensors and Actuators: An Emerging Technology for Automation of Biological Laboratories”. \nDay & Time: Friday\, February 2\, 2018\n12:15 p.m. ‐ 1:15 p.m. \nSpeaker: Dr. Ebrahim Ghafar-Zadeh\nBiologically Inspired Sebsors and Actuators ( BioSA)\nDept. of Electrical Engineering and Computer Science\nLassonde School of Engineering\nYork University \nLocation: Room: ENG 288\, George Vari Centre for Computing and Engineering\n245 Church Street\nToronto\, Ontario M5B 2K3 \nContact: Maryam Davoudpour \nOrganizer: WIE IEEE Toronto\, IEEE Ryerson Student Chapter\, Instrumentation-Measurement/Robotics-Automation\, Magnetics\, and Computer Science Department of Ryerson University \nAbstract: Recent advances of Complementary Metal Oxide Semiconductor (CMOS) Lab-on-Chip (LoC) technologies have greatly attracted the attentions for a variety of life science applications including DNA sequencing\, drug discovery and automation of biological laboratories. A CMOS based LoC consists of a microfluidic device for directing the biological/chemical samples towards sensors (e.g. magnetic\, optical or capacitive sensors) or actuators (e.g. magnetic or electrical actuators). An array of sensors or actuators can be realized on the top of CMOS integrated circuits (IC) for accurately measurement of chemical and/or biological signals. High throughput microfluidic/CMOS technology for cellular and molecular analysis is in a very early stage of development and there are several critical challenges that must be investigated and resolved. In this talk\, professor Ghafar-Zadeh will discuss new perspectives and challenges for the design and implementation of hybrid microfluidic CMOS sensors and actuators. Also he will demonstrate and discuss his recent research achievements in this emerging field of research. \nBiography: Ebrahim Ghafar-Zadeh (PhD\, P.Eng) received his BSc ( KNT University\, Tehran Iran)\, MSc (University of Tehran\, Iran) and PhD ( Ecole Polytechnique de Montreal\, Canada) degrees in Electrical Engineering in 1992\, 1994 and 2008 respectively. In recognition of his innovative research in the topic of hybrid microfluidic/microelectronic systems\, Dr. Ghafar-Zadeh received several postdoctoral fellowship awards including NSERC PDF and FRQNT PDF and he perused two postdoctoral fellows in the Dept. of Electrical and Computer Engineering\, McGill University; and the Dept. of Bio-engineering\, University of California\, Berkeley. Dr. Ghafar-Zadeh has published more than 100 journal and conference papers and a book titled CMOS Capacitive Sensors for Lab-on-Chip applications. Since 2013\, he has been an assistant Professor\, in the Dept. of Electrical Engineering and Computer Science\, York University\, Toronto\, Canada. Dr. Ghafar-Zadeh is the director of Biologically Inspired Sensors and Actuators Laboratory.
URL:https://www.ieeetoronto.ca/event/high-throughput-cmos-sensors-and-actuators-an-emerging-technology-for-automation-of-biological-laboratories/
LOCATION:Room: ENG 288\, George Vari Centre for Computing and Engineering
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20171127T153000
DTEND;TZID=America/Toronto:20171127T180000
DTSTAMP:20260712T193145
CREATED:20210430T012927Z
LAST-MODIFIED:20210430T220026Z
UID:10000168-1511796600-1511805600@www.ieeetoronto.ca
SUMMARY:Hatching A Tech Startup
DESCRIPTION:Tech startups have special challenges. Founders need to keep an eye on technology disruption\, they have to find\, recruit and keep the best talent\, and they have to stay ahead of their competition. In the early stages there are no funds and never enough resources or time. In spite of this tech startup founders find a way to stand up their first product and land their first customers. \nJoin us for an afternoon with tech startup founders Melinda Jacobs\, Cofounder\, Lucent Sky\, Maria Karam\, Founder\, Tactile Audio Displays Inc and the Inventor’s Nest\, and Eddy Song Fonder of Inlighten Co as they share their own stories of the early stages of their businesses. \nCome and hear how they do it and how they turn their ideas into products customers want. \nDay & Time: Monday November 27th\, 2017\n3:30 p.m. – 6:00 p.m. \nSpeakers: Melinda Jacobs\, Cofounder\, Lucent Sky\nDr. Maria Karam\, Founder\, Tactile Audio Displays Inc & Inventor’s Nest\nEddy Song\, Founder\, Inlighten Co. \nLocation: Room: ENG 288\, George Vari Centre for Computing and Engineering\n245 Church Street\nToronto\, Ontario M5B 2K3 \nRVSP: https://www.meetup.com/Get-Your-Bot-On-Robotics-Hackathon/events/245069438/ \nContact: Dr. Maryam Davoudpour \nOrganizer: Get Your Bot On!\, WIE IEEE Toronto\, Instrumentation-Measurement/Robotics-Automation\, Magnetics\, and Computer Science Department of Ryerson University. \nAgenda: 3:30 p.m. – Doors Open and Networking\n4:00 p.m. – Welcome and Speakers\n4:50 p.m. – Panel and Q&A\n5:30 p.m. – Closing Remarks\n6:00 p.m. – Close \nBiography: Melinda Jacobs is cofounder of Lucent Sky\, an application security vendor based in San Francisco and Taipei. Originally from Fredericton\, Melinda studied as a Loran Scholar at the University of Toronto and currently serves on the Board of Directors of the University of Toronto Alumni Association (UTAA). Last year Melinda presented a keynote at the Lean Startup conference in San Francisco and is a frequent presenter on social entrepreneurship\, security and risk. She was recently named a Senior Fellow of the Canadian International Council and now resides in Toronto. \nDr. Karam is the inventor and President of Tactile Audio Displays inc.\, and a Senior visiting research fellow at Kings College London UK. Dr. Karam’s specializes in the research and development of tactile communication systems and multi sensory technology integration in luxury autonomous vehicles\, accessibility\, and immersive entertainment environments. Maria is also the founder of the Inventors Nest\, a new innovation and collaboration hub for artists\, scientists\, and techies. (please shorten or select the parts you think are relevant). I have also been a member of the IEEE since 2005. \nEddy Song is the founder of Inlighten Co. Inlighten makes fashionable clothing from fibre optic textiles. Their first products are popular with the EDM community.
URL:https://www.ieeetoronto.ca/event/hatching-a-tech-startup/
LOCATION:Room: ENG 288\, George Vari Centre for Computing and Engineering
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20171113T160000
DTEND;TZID=America/Toronto:20171113T170000
DTSTAMP:20260712T193145
CREATED:20210430T012925Z
LAST-MODIFIED:20210430T215543Z
UID:10000158-1510588800-1510592400@www.ieeetoronto.ca
SUMMARY:Overview of Blockchain Technology
DESCRIPTION:Omid Sadeghi\, serial entrepreneur and technology advisor\, will be presenting “Overview of Blockchain Technology”. \nDay & Time: Monday November 13th\, 2017\n4:00 p.m. – 5:00 p.m. \nSpeaker: Omid Sadeghi\nDirector of BlockchainHub at York University \nLocation: Room: ENG 288\, George Vari Centre for Computing and Engineering\n245 Church Street\nToronto\, Ontario M5B 2K3 \nContact: Dr. Maryam Davoudpour \nOrganizer: WIE IEEE Toronto\, Instrumentation-Measurement/Robotics-Automation\, Magnetics\, and Computer Science Department of Ryerson University. \nAbstract: Blockchain protocol and technology are said by many to be among the greatest accomplishments of human intellect since the Internet. Blockchain is the software technology underlying what is commonly known as Bitcoin\, however\, the technology is not exclusive to Bitcoin. Swarms of innovators are working feverishly to design and deploy new business platforms that incorporate blockchain technology. \nIn this session\, we learn about the concepts of cryptocurrency and blockchain\, what are the potential for this technology and when a blockchain solution would be applicable to an enterprise. \nBiography: Omid Sadeghi is a serial entrepreneur and technology advisor with domain expertise in commercialization and developing customer-centric products. Omid holds an undergraduate degree in Design Engineering and an MBA degree from Schulich School of business (Winner of more than $40\,000 student awards). \nHe is the director of BlockchainHub at York University to connect Research\, education\, and commercialization in Blockchain space. BlockchainHub currently run numerous educational programs and run various projects including setting up a state of the art Blockchain-based certification system for York University. \nOmid is active in building and supporting technology and engineering communities\, especially in Toronto. He is on the advisory board of different blockchain initiatives and a board member of Professional Engineers of Ontario-ETC.
URL:https://www.ieeetoronto.ca/event/overview-of-blockchain-technology/
LOCATION:Room: ENG 288\, George Vari Centre for Computing and Engineering
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20171107T183000
DTEND;TZID=America/Toronto:20171107T210000
DTSTAMP:20260712T193145
CREATED:20210430T012924Z
LAST-MODIFIED:20210430T215506Z
UID:10000154-1510079400-1510088400@www.ieeetoronto.ca
SUMMARY:Women in Robotics: Roboticist Dr. AJung Moon\, Open Roboethics Institute
DESCRIPTION:Join us on November 7 to hear about the work of Dr. AJung Moon\, founder and CEO of Generation R\, and founder and Director of the Open Roboethics Institute (ORI). Dr. Moon has been speaking and advising internationally on roboethics issues since 2012. Her company\, Generation R is the first consulting firm in the world to deliver ethics assessments of predictive algorithms for today’s businesses. \nCome and hear about her experiences working with the private sector\, helping them assess their ethical risk as they implement these advanced technologies. \nDay & Time: Tuesday\, November 7th\, 2017\n6:30 p.m. to 9:00 p.m. \nSpeaker: Dr. AJung Moon\nFounder and CEO of Generation R\nFounder and Director of the Open Roboethics Institute (ORI) \nLocation: Normative (2nd Floor)\n91 Oxford Street\, Toronto\, ON \nRVSP: https://www.meetup.com/Get-Your-Bot-On-Robotics-Hackathon/events/244379955/?_cookie-check=httj7lc1eoP6sV0S \nContact: Dr. Maryam Davoudpour \nOrganizer: IEEE Women in Engineering\, Instrumentation/Robotics\, Get Your Bot On! and more. \nAbstract: Ethics is increasingly becoming a buzz word in AI and robotics. Machine learning algorithms and robotics systems have been developed and used for years\, but never before has the discussion about ethics of the technologies been getting so much attention. What is all this AI ethics and roboethics discussion all about? What ethical risks do you and your organization end up (often unknowingly) taking on as you increasingly implement machine autonomy into your organization? Most importantly\, what can you do about them? Small and large companies today are struggling to innovate their operations with data-driven\, predictive algorithms without the full understanding of what undesirable effects these algorithms can have on their organization and our society. As applications of robotics extend to areas outside of industrial environments\, roboticists are increasingly noticing the importance for designers and policy makers to address the question of “What should a robot do?” It turns out that discussions about ethics becomes quite sexy when mixed with autonomous\, intelligent technologies. \nDr. Moon will share relevant studies and examples (from right here in Canada!) to paint a broad landscape of the fascinating world of AI ethics and roboethics. \nNote: Dr. Moon will also give an academic talk at the University of Toronto Institute for Robotics and Mechatronics on Nov 7 at 5pm where she will present technical and non-technical approaches to integrating ethics in the design of technological systems. \nAgenda:\n6:30 pm – Networking\n7:00 pm – Speaker and Q & A\n8:00 pm – Networking\n9:00 pm – Close \nBiography: Dr. AJung Moon is a roboticist on a mission to make ethics a core part of AI and robotics technologies. She is a founder and CEO of Generation R\, the first consulting firm in the world to deliver ethics assessment of predictive algorithms for today’s businesses. She is also a founder and Director of the Open Roboethics Institute (ORI)\, an international think tank that has been spearheading open discussions on roboethics topics since 2012. She holds a PhD in Mechanical Engineering (Vanier Scholar) from the University of British Columbia with a specialization in the design of human-inspired interactive robot behaviours and roboethics. \nShe advises numerous national and international organizations on ethical and societal implications of AI and robotics\, including the OECD\, ICRC\, and the United Nations Convention on Conventional Weapons. She serves on the Executive Committee of The IEEE Global Initiative for Ethical Considerations in AI and Autonomous Systems and served as a founder and co-chair of the IEEE Global Initiative’s committee on embedding values into autonomous intelligent systems. She is a co-chair of the Canadian Robotics Strategy\, and a panelist of the International Panel on the Regulation of Autonomous Weapons (IPRAW). Now she is excited to be on the program committee of the new\, AAAI/ACM Conference on AI\, Ethics\, and Society.
URL:https://www.ieeetoronto.ca/event/women-in-robotics-roboticist-dr-ajung-moon-open-roboethics-institute/
LOCATION:Normative (2nd Floor)\, 91 Oxford Street\, Toronto\, ON
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20171010T120000
DTEND;TZID=America/Toronto:20171010T170000
DTSTAMP:20260712T193145
CREATED:20210430T012922Z
LAST-MODIFIED:20210430T215133Z
UID:10000141-1507636800-1507654800@www.ieeetoronto.ca
SUMMARY:Thales Project Arduino Competition
DESCRIPTION:You probably know all about the Arduino open-source electronics prototyping platform already. Maybe you’ve used one before or perhaps you’re just interested in getting your hands on one to see just how innovative you can be. Now’s your chance! \nRegister for the Arduino Workshop and you could soon be exploring the powerful capabilities of Arduino\, with a Thales expert on hand to show you the ropes\, and the chance to win some great prizes including a fitbit altaHR and the opportunity to visit a Thales Research Centre in one of the participating regions. \nDay & Time: Tuesday October 10\, 2017\n12:00 p.m. – 5:00 p.m. \nLocation: Ryerson University\nToronto\, ON \nContact: Maryam Davoudpour \nOrganizers: IEEE Toronto WIE & Instrumentation/Measurement Chapter\, Girls on the Move \nRegister: https://www.thalesarduino.com/arduino
URL:https://www.ieeetoronto.ca/event/thales-project-arduino-competition/
LOCATION:Ryerson University\, Toronto\, ON
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170717T160000
DTEND;TZID=America/Toronto:20170717T170000
DTSTAMP:20260712T193145
CREATED:20210430T012918Z
LAST-MODIFIED:20210430T212205Z
UID:10000131-1500307200-1500310800@www.ieeetoronto.ca
SUMMARY:A framework for general purpose digital pathology image analysis\, using machine learning methods to identify cancer subsets and immunotherapy biomarkers
DESCRIPTION:Monday July 17\, 2017 at 4:00 p.m. Dr. Trevor McKee\, STTARR Innovation Research Centre for Cancer Research\, will be presenting “A framework for general purpose digital pathology image analysis\, using machine learning methods to identify cancer subsets and immunotherapy biomarkers”. \nDay & Time: Monday July 17\, 2017\n4:00 p.m. – 5:00 p.m. \nSpeaker: Dr. Trevor McKee\nSTTARR – Innovation Research Centre for Cancer Research\nToronto\, Ontario\, Canada \nLocation: Room ENG101\nGeorge Vari Engineering Building (intersection of Church & Gould)\nRyerson University\n245 Church St\, Toronto\, M5B 1Z4 \nContact: Alireza Sadeghian\, Alex Dela Cruz \nOrganizers: Signals & Computational Intelligence Chapter \nAbstract: Histological staining\, interpreted by a pathologist\, has remained the gold standard for cancer diagnosis and staging for over 100 years. There is a growing need for better – and more personalized – cancer treatments\, to provide oncologists with the tools they need to best treat their patients. The advent of “molecular medicine”\, or targeted therapeutic strategies that rely on knowledge of particular mutations in a cancer in order to tailor treatment\, has improved cancer therapy for many patients. This has led to the use of companion diagnostics\, in which tumor biopsies are stained for a specific marker or set of markers\, using immunohistochemical approaches. The information obtained from the degree of staining or spatial arrangement of stained cells within the tumor helps to identify tumor molecular subclasses that may benefit from such tailored therapeutic approaches. \nThe increase in the number of slides being stained for specific markers and used in diagnosis\, along with the increased need for quantitative assessment of the degree of staining\, number of cells\, or spatial arrangement of cells within the tumor\, has increased the volume and type of work that pathologists encounter in their diagnostic workflow. Our team works on the development of tools for quantitative digital pathology analysis that can benefit pathologists\, by building and validating semi-automated algorithms for cellular quantification and intensity scoring of stained slides. We use machine learning methods to learn features that distinguish different morphological regions from pathologist annotations. These are then fed into a tissue segmentation and classification framework to break the tissue down into its components\, either on the individual cell level\, or the glandular level. Staining intensity is quantified following colour deconvolution of the individual stain components\, and reporting metrics are designed\, in close collaboration with pathologists and biological scientists\, to identify the appropriate outputs for comparing between treatment groups or different cancer types. \nThe use of multiplexed digital pathology stains allows us to build a generalized analytical framework to perform “tissue cytometry”. This new technology can extract quantitative image-derived features in a reproducible and robust fashion\, providing clinicians and biological scientists with tools to measure previously inaccessible phenomena\, like measuring the hypoxic gradient directly within tumor sections\, or comparing glucose uptake to lactic acid production in the same tumor sample. This approach establish the foundation for a bridge between traditional morphometric assessment of tumor biopsies\, and the detailed spatially resolved chemical and molecular content maps of each tumor\, providing an invaluable toolkit for the discovery of cancer molecular subtypes\, and development of therapeutic interventions. \nBiography: Dr. Trevor McKee received his Ph.D. in Biological Engineering from the Massachusetts Institute of Technology in 2005\, in the laboratory of Dr. Rakesh Jain of Harvard Medical School. During his graduate work\, he pioneered the application of new imaging and analysis technologies to studying drug transport within tumors\, and on developing methods to improve drug delivery. He also holds a Bachelors of Science in Chemical Engineering with a Biotechnology minor from the University at Buffalo. He moved to Toronto to continue postdoctoral work at the Ontario Cancer Institute\, applying multi-modality imaging and quantitative image analysis methods to study preclinical cancer models. He has a successful track record of high-impact publications with a number of clinical and basic science collaborators\, and has also collaborated with pharmaceutical companies on imaging-based preclinical testing of new compounds. He is currently Image Analysis Core Manager of the STTARR Innovation Centre\, and manages a team of analysts to develop new algorithms for machine-learning powered image segmentation and quantification across a number of disease sites. His research interests lie in studying the tumor microenvironment\, drug and oxygen delivery\, and the development of tools for “tissue cytometry” – deriving complex biological and spatial relationships from tissue sections via computational image analysis methods.
URL:https://www.ieeetoronto.ca/event/a-framework-for-general-purpose-digital-pathology-image-analysis-using-machine-learning-methods-to-identify-cancer-subsets-and-immunotherapy-biomarkers/
LOCATION:Room ENG101\, 245 Church St\, Toronto\, M5B 1Z4
CATEGORIES:Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170628T170000
DTEND;TZID=America/Toronto:20170628T180000
DTSTAMP:20260712T193145
CREATED:20210430T012917Z
LAST-MODIFIED:20210430T212051Z
UID:10000129-1498669200-1498672800@www.ieeetoronto.ca
SUMMARY:Large-Scale Analytics and Machine Learning for Biomedical Data Types
DESCRIPTION:Wednesday June 28\, 2017 at 5:00 p.m. Dr. Shiva Amiri\, CEO of BioSymetrics Inc\, will be presenting “Large-Scale Analytics and Machine Learning for Biomedical Data Types”. \nDay & Time: Wednesday June 28\, 2017\n5:00 p.m. – 6:00 p.m. \nSpeaker: Dr. Shiva Amiri\nCEO of BioSymetrics Inc\nToronto\, Ontario\, Canada \nLocation: Room ENG288\nDepartment of Computer Science\nRyerson University\n245 Church St\, Toronto\, M5B 1Z4 \nContact: Alireza Sadeghian\, Alex Dela Cruz \nOrganizers: Signals & Computational Intelligence Chapter\, WIE \nAbstract: The scale of data being generated in medicine and research can easily overwhelm typical analytic capabilities. This is particularly true with MRI/fMRI scanning\, genomics data\, streaming/wearables data in addition to other clinical data types\, especially if in combination. \nChallenges include 1) large file sizes often in heterogeneous formats 2) currently no standard Protocol exists for extraction of standardized characteristics\, and 3) traditional methods for group-wise comparison can often result in spurious findings. \nThe talk will address these challenges by discussing customized processing pipelines built for multiple data types in biomedicine\, which enable effective machine learning and other types of analytics on these datasets. This approach leverages the rapid model building capabilities of our real-time machine learning software to iterate through normalization parameters for each data type and disease class. In addition\, this platform allows easy integration between the various medical data types (genome sequence\, phenotypic\, and metabolic data) allowing generation of more comprehensive disease classification models. \nThe ability to standardize and pre-process multiple types of biomedical data for machine learning\, no matter the source and type\, and effectively combine it with other data types is a powerful capability and holds promise for the future of diagnostics and precision medicine. \nBiography: Shiva Amiri is the CEO of BioSymetrics Inc. where they are developing a unique real-time machine learning technology for the analysis of massive data in biomedicine. BioSymetrics specializes in providing optimized pipelines for complex data types and effective methods in the analytics of integrated data. Prior to BioSymetrics she was the Chief Product Officer at Real Time Data Solutions Inc.\, she has led the Informatics and Analytics team at the Ontario Brain Institute\, where they developed Brain-CODE\, a large-scale neuroinformatics platform across the province of Ontario. She was previously the head of the British High Commission’s Science and Innovation team in Canada. Shiva completed her Ph.D. in Computational Biochemistry at the University of Oxford and her undergraduate degree in Computer Science and Human Biology at the University of Toronto. Shiva is involved with several organisations including Let’s Talk Science and Shabeh Jomeh International.
URL:https://www.ieeetoronto.ca/event/large-scale-analytics-and-machine-learning-for-biomedical-data-types/
LOCATION:Room ENG288\, 245 Church St\, Toronto\, M5B 1Z4
CATEGORIES:Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170531T180000
DTEND;TZID=America/Toronto:20170531T210000
DTSTAMP:20260712T193145
CREATED:20210430T012916Z
LAST-MODIFIED:20210430T211713Z
UID:10000062-1496253600-1496264400@www.ieeetoronto.ca
SUMMARY:Women in Robotics: Building Smart Robots with AI
DESCRIPTION:Wednesday May 31\, 2017 at 6:00 p.m. hear about the work of Dr. Sanja Fidler\, Assistant Professor in Machine Learning and Computer Vision\, University of Toronto and Dr. Inmar Givoni\, Director of Machine Learning at Kindred Systems Inc.\, as part of “Women in Robotics: Building Smart Robots with AI”. \nDay & Time: Wednesday May 31\, 2017\n6:00 p.m. – 9:00 p.m. \nSpeakers: Dr. Sanja Fidler\, Assistant Professor\, Department of Computer Science\, University of Toronto\nDr. Inmar Givoni\, Director\, Machine Learning\, Kindred Systems Inc. \nLocation: To be Announced \nOrganizers: IEEE Toronto Engineering in Medicine and Biology Society (EBMS)\, IEEE Women in Engineering\, Society of Women Engineers Toronto \nRVSP: https://www.meetup.com/Get-Your-Bot-On-Robotics-Hackathon/events/240003715/ \nAgenda:\n6:00 pm – Networking\n6:30 pm – Welcome\n6:40 pm – Speakers\n7:30 pm – Panel Discussion – Women in Robotics\n8:00 pm – Networking\n9:00 pm – Close \nGet Your Bot On!\, its partners Society of Women Engineers Toronto\, IEEE Toronto Engineering in Medicine and Biology Society (EBMS) and IEEE Women in Engineering are pleased to bring you the ‘Women in Robotics Speaker Series’. This series celebrates the work of women in the field of robotics and provides a forum for them to share their work and career with the community. We invite all community members to come and learn\, participate in the discussion\, and celebrate the contribution of women to this field. \nBiography:\nDr. Sanja Fidler\, Assistant Professor\, Department of Computer Science\, University of Toronto \nDr. Sanja Fidler is an Assistant Professor at the Department of Computer Science\, University of Toronto. She is the recipient of the Amazon Academic Research Award (2017) and the NVIDIA Pioneer of AI Award (2016). Previously she was a Research Assistant Professor at TTI-Chicago a philanthropically endowed academic institute located in the campus of the University of Chicago. She completed her PhD in computer science at University of Ljubljana in 2010\, and was a postdoctoral fellow at University of Toronto during 2011-2012. \nIn 2010 she visited UC Berkeley. She has served as a Program Chair of the 3DV conference\, and as an Area Chair of CVPR\, EMNLP\, ICCV\, ICLR\, and NIPS. Together with Rich Zemel and Raquel Urtasun\, she received the NVIDIA Pioneer of AI award. \nHer main research interests are object detection\, 3D scene understanding\, and the intersection of language and vision. \nYou can find Dr. Fidler on the web at http://www.cs.toronto.edu/~fidler/ \nDr. Inmar Givoni\, Director\, Machine Learning\, Kindred Systems Inc. \nDr. Inmar Givoni is the Director of Machine Learning at Kindred\, where her team develops algorithms for machine intelligence\, at the intersection of robotics and AI. Prior to that\, she was the VP of Big Data at Kobo\, where she led her team in applying machine learning and big data techniques to drive e-commerce\, customer satisfaction\, CRM\, and personalization in the e-pubs and e-readers business. She first joined Kobo in 2013 as a senior research scientist working on content analysis\, website optimization\, and reading modelling among other things. Prior to that\, Inmar was a member of technical staff at Altera (now Intel) where she worked on optimization algorithms for cutting-edge programmable logic devices. \nInmar received her PhD (Computer Science) in 2011 from the University of Toronto\, specializing in machine learning\, and was a visiting scholar at the University of Cambridge. During her graduate studies\, she worked at Microsoft Research\, applying machine learning approaches for e-commerce optimization for Bing\, and for pose-estimation in the Kinect gaming system. She holds a BSc in computer science and computational biology from the Hebrew University in Jerusalem. She is an inventor of several patents and has authored numerous top-tier academic publications in the areas of machine learning\, computer vision\, and computational biology. She is a regular speaker at big data\, analytics\, and machine learning events\, and is particularly interested in outreach activities for young women\, encouraging them to choose technical career paths. \nYou can find Dr. Givoni on the web at http://www.inmarg.net/
URL:https://www.ieeetoronto.ca/event/women-in-robotics-building-smart-robots-with-ai/
LOCATION:To be Announced
CATEGORIES:Engineering in Medicine and Biology,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170526T133000
DTEND;TZID=America/Toronto:20170526T153000
DTSTAMP:20260712T193145
CREATED:20210430T012916Z
LAST-MODIFIED:20210430T211538Z
UID:10000058-1495805400-1495812600@www.ieeetoronto.ca
SUMMARY:Designing a Gamification Course for an Higher Education Audience
DESCRIPTION:Friday May 26\, 2017 at 1:30 p.m. Dr. Sergio A. A. Freitas\, Associate Professor in the Gama Engineering College (FGA) and Director of the Distance Education Center at the University of Brasilia (UnB)\, Brazil\, will be presenting “Designing a Gamification Course for an Higher Education Audience”. \nDay & Time: Friday May 26\, 2017\n1:30 p.m. – 3:30 p.m \nSpeaker: Dr. Sergio A. A. Freitas\nAssociate Professor in the Gama Engineering College (FGA)\nDirector of the Distance Education Center\nUniversity of Brasilia (UnB)\, Brazil \nLocation: Ryerson University\nGeorge Vari Centre for Computing and Engineering\nRoom: ENG 288\n245 Church Street\nToronto\, Ontario M5B 2K3 \nContact: Dr. Maryam Davoudpour \nOrganizers: IEEE Toronto (WIE\, Measurement/Instrumentation-Robotics\, Magnetics chapters)\, Computer Science Department of Ryerson University \nAbstract: The gamification of activities in classrooms has become of great interest in higher education. Today’s students have a lot of experience in virtual environments and games\, and researchers who have tested/used gamification in their classrooms have reported an increase in student engagement and retention. \nThis course presents a four step process to create a gamified course: Identifying the students’ profile (step 1) and the gamification object (step 2)\, creating the gamification project (step 3)\, and finally\, implementing the gamification project (step 4). \nAt the end of the workshop it is expected that the participant will be able to design a basic gamified course. \nBiography: Dr. Sergio A. A. Freitas is currently an Associate Professor in the Gama Engineering College (FGA) and Director of the Distance Education Center at the University of Brasilia (UnB)\, Brazil. He is also the coordinator of research in the FGA Software Factory Laboratory. His current research projects focus on interdisciplinary studies and applications of learning methodologies on engineering undergraduate courses\, and software engineering methodologies. Prof. Freitas areas of expertise include gamification\, PBL\, virtual learning environments in education and training\, and software engineering methodologies. Dr. Freitas has coauthored journal publications\, conference articles and book chapters in the aforementioned topics\, and has coordinated and participated on many projects from various funding agencies CNPq\, FAP-ES\, FAP-DF\, Cebraspe\, and Brazilian Federal Ministries.
URL:https://www.ieeetoronto.ca/event/designing-a-gamification-course-for-an-higher-education-audience/
LOCATION:George Vari Centre for Computing and Engineering\, Room: ENG 288
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170512T080000
DTEND;TZID=America/Toronto:20170512T160000
DTSTAMP:20260712T193145
CREATED:20210430T012915Z
LAST-MODIFIED:20210430T211225Z
UID:10000051-1494576000-1494604800@www.ieeetoronto.ca
SUMMARY:7th Annual E3 Symposium
DESCRIPTION:Friday May 12\, 2017 the School of Engineering Technology and Applied Science and the Centennial Energy Institute invite you to our 2017 E3 Symposium: The Future is Smart: The Transformation of Canadian Manufacturing. This event will bring together advanced manufacturing innovators from across a number of sectors in the economy. The event will feature industry titans sharing best practices. \nDay & Time: Friday May 12\, 2017\n8:00 am to 8:45 am – Registration and Breakfast.\n9:00 am to 4:00 pm – Speakers & Sessions. \nLocation: Centennial College: Progress Campus\nLibrary Building Auditorium\n941 Progress Avenue\, Toronto\, Ontario \nEvent Page: http://www.centennialcollege.ca/programs-courses/schools/school-of-engineering-technology-and-applied-science/e3-symposium/ \nContact: Maryam Davoudpour
URL:https://www.ieeetoronto.ca/event/7th-annual-e3-symposium/
LOCATION:Centennial College: Progress Campus Library Building Auditorium 941 Progress Avenue\, Toronto\, Ontario
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170428T090000
DTEND;TZID=America/Toronto:20170428T160000
DTSTAMP:20260712T193145
CREATED:20210430T012914Z
LAST-MODIFIED:20210430T211027Z
UID:10000126-1493370000-1493395200@www.ieeetoronto.ca
SUMMARY:Engineering the Internet of Things – Digital Twin Seminar
DESCRIPTION:Friday April 28\, 2017 at 9:00 a.m. IEEE Toronto and SimuTech Group will be hosting the seminar “Engineering the Internet of Things – Digital Twin”. \nDay & Time: Friday April 28\, 2017\n9:00 a.m. – 4:00 p.m. \nLocation: Ryerson University\nGeorge Vari Centre for Computing and Engineering\nRoom: ENG 288\n245 Church Street\nToronto\, Ontario M5B 2K3 \nCost: Free including lunch \nRegister: http://go.simutechgroup.com/ieee-iot-digital-twin-toronto \nContact: SimuTech Group – Mohsen Tayefeh\nIEEE Toronto – Dr. Maryam Davoudpour \nOrganizers: IEEE Toronto (WIE\, Signals & Computational Intelligence\, Measurement/Instrumentation-Robotics\, Magnetics chapters)\, Computer Science Department of Ryerson University\, SimuTech Group (ANSYS Elite Channel partner) \nAbstract: High-tech–industry product development teams routinely use coupled multiphysics software to analyze the trade-offs among speed\, bandwidth\, signal integrity\, power integrity\, thermal performance and EMI/EMC. \nThe Internet of Things is a network of smart products\, or “things”\, that use embedded sensors\, software\, and electronics to communicate with each other over a network. The communication data can be analyzed by cloud based software to derive actionable information\, leading to predictive and prescriptive outcomes. \nIn this seminar\, the following topics will be discussed: \n– Engineering the Internet of Things\n– 5 Engineering Challenges for Smart Product Development\n– Case Study: Search and Rescue Drone-Satellite System\n– Signal Integrity/EMI/EMC\, Human body\, Federal Regulations\n– User experience – Wearable devices (Multiphysics Simulation)\n– Digital Twin – GE and ANSYS collaboration\n– Case Study: prescriptive maintenance case study\n– Lunch\n– RF Antenna placement\n– Step by step workshop – Antenna analysis\n– PCB design – Power Integrity\n– Thermal management (CFD)\n– Networking\, Door prize/draw (Drone)
URL:https://www.ieeetoronto.ca/event/engineering-the-internet-of-things-digital-twin-seminar/
LOCATION:George Vari Centre for Computing and Engineering Room: ENG 288\, 245 Church Street\, Toronto
CATEGORIES:Instrumentation & Measurement,Magnetics,Signals & Computational Intelligence,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170410T180000
DTEND;TZID=America/Toronto:20170410T210000
DTSTAMP:20260712T193145
CREATED:20210430T002615Z
LAST-MODIFIED:20210430T003906Z
UID:10000121-1491847200-1491858000@www.ieeetoronto.ca
SUMMARY:Women in Robotics: Dr. Pooja Viswanathan\, Co-founder and CEO\, Braze Mobility
DESCRIPTION:Dr. Pooja Viswanathan is the Co-founder and CEO of Braze Mobility Inc. Dr. Viswanathan has a PhD in Robotics and Assistive Technology\, is a Post-Doctoral Fellow at the University of Toronto and the AGE-WELL Network of Centres of Excellence\, and is an Ontario Brain Institute Entrepreneur. Dr. Viswanathan is a passionate and accomplished innovator and still makes time for mentorship and education of the next generation of young innovators. \nClick here for more information.
URL:https://www.ieeetoronto.ca/event/women-in-robotics-dr-pooja-viswanathan-co-founder-and-ceo-braze-mobility/
LOCATION:263 McCaul Street\, Room 120\, Health Innovation Hub
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170331T143000
DTEND;TZID=America/Toronto:20170331T153000
DTSTAMP:20260712T193145
CREATED:20210430T002614Z
LAST-MODIFIED:20210430T003718Z
UID:10000119-1490970600-1490974200@www.ieeetoronto.ca
SUMMARY:Engineering Skills Gaps: “Jobs without people” and “people without jobs”
DESCRIPTION:Friday March 31\, 2017 at 2:30 p.m. Dr. Farzad Rayegani\, Associate Dean\, School of Mechanical and Electrical Engineering Technology\, will be presenting “Engineering Skills Gaps: ‘Jobs without people’ and ‘people without jobs’”. \nDay & Time: Friday\, March 31st\, 2017\n2:30 p.m. – 3:30 p.m. \nSpeaker: Farzad Rayegani\, Ph.D.\, P.Eng.\, FEC.\nAssociate Dean\, School of Mechanical and Electrical Engineering Technology \nLocation: Room ENG 288\nGeorge Vari Centre for Computing and Engineering\, Ryerson University\n245 Church Street\, Toronto\, Ontario M5B 2K3 \nContact: Dr. Maryam Davoudpour \nOrganizers: IEEE Toronto WIE\, Magnetics\, Measurement/Instrumentation-Robotics and Computer Science Department of Ryerson University \nBiography: Farzad Rayegani is credited with developing an applied research program involving students\, graduates and faculty mentors to address technological and educational needs of the Halton and Peel regions. Over the past 10 years\, he has been simultaneously partnering with SME enterprises on product and process innovation projects while developing an applied research program involving students\, graduates and faculty mentors to examine issues of product development / refinement\, process automation\, systems integration and manufacturing management. In the past year\, this work has been bolstered by a range of successful\, high-profile\, federally funded projects with companies in both regions. \nUnder his leadership\, through the Centre for Advanced Manufacturing and Design Technologies (CAMDT)\, Sheridan has been reaching out to a significant number of manufacturers in Brampton\, Mississauga and Oakville\, particularly small and medium enterprises\, to support adoption and integration of efficient manufacturing practices and product innovation performance and improvements. CAMDT now supports over a dozen local and regional SMEs who are struggling with limited availability of technological\, human\, financial\, and management resources. \nUnder his leadership\, Sheridan College recently become a member of the CDIO Initiative – a worldwide movement to restore the balance between teaching practice skills and the fundamentals of math and science to engineering students. What started as a partnership between MIT and a few Swedish universities in 2001 has gained significant international momentum\, with 103 institutions adopting the model. Sheridan is the fifth Canadian institution and the first college in the world to be accepted. \nAs a CDIO collaborator\, Farzad is seeking to develop a new curriculum structure based on a new philosophy for engineering education. The framework educates students to Conceive\, Design\, Implement and Operate complex\, value-added engineering products\, processes and systems in a modern\, team-based\, global environment. He aims to develop a curriculum rich in project-based\, hands-on learning\, producing engineers who are “ready to engineer” when they graduate. \nFarzad is ASME chair on additive manufacturing. As the committee chair\, he will be leading the launch of ASME’s inaugural additive manufacturing challenge designed to give mechanical and multi-disciplinary undergraduate students around the world an opportunity to re-engineer existing products or create new designs that minimize energy consumption and/or improve energy efficiency. As chair\, he will also be collaborating with ME department heads to develop educational material on behalf of ASME to benefit the educators and students. \nFarzad was recently designated an Engineers Canada Fellow by Engineers Canada. This prestigious award is presented in recognition of exceptional contributions to the engineering profession in Canada. \nFarzad has been a full-time professor in Sheridan’s Faculty of Applied Science and Technology since 2004. Currently\, he is the associate dean of the School of Mechanical and Electrical Engineering & Technology and director of the Centre for Advanced Manufacturing and Design Technologies (CAMDT).
URL:https://www.ieeetoronto.ca/event/engineering-skills-gaps-jobs-without-people-and-people-without-jobs/
LOCATION:Room ENG 288\, 245 Church Street\, Toronto\, Ontario M5B 2K3
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170322T180000
DTEND;TZID=America/Toronto:20170322T200000
DTSTAMP:20260712T193145
CREATED:20210430T002613Z
LAST-MODIFIED:20210430T004123Z
UID:10000113-1490205600-1490212800@www.ieeetoronto.ca
SUMMARY:Cyber Security for Utilities Seminar
DESCRIPTION:Wednesday March 22\, 2017 at 6:00 p.m. the IEEE Toronto Computer Society/Industrial Relations will be presenting “Cyber Security for Utilities Seminar”. \nDay & Time: Wednesday\, March 22nd\, 2017\n6:00 p.m. – 8:00 p.m. \nSpeakers: Steel McCreery\nSchweitzer Engineering Laboratories (SEL) \nDoug Westlund\, P. Eng.\nAESI \nLocation: University of Toronto\n35 St. George St.\nToronto\, Ontario\nCanada M5S 1A4 \nBuilding: Galbraith Building\nRoom Number: 202 \nRSVP is required for this event. Please visit https://events.vtools.ieee.org/m/44162 for more details and to register. \nFEES:\nIEEE Members: Free\nNon-IEEE Students: Free\nNon-Member (Professional): $10 + HST \nAbstract: Cyber Security is one of the hottest technology topics ensuring the safety and reliability of the Electrical Grid against cyber-attacks from hackers. This seminar will be a great opportunity for students\, new grads\, and engineers to have a general overview on cyber security issues and challenges for utilities in North America. Industry Standards such as NERC CIP will be discussed\, as will career opportunities on this field. \nJoin us on our first seminar on Cyber Security with IEEE Toronto Section. We look forward to seeing you at the event! \nBiographies:\nSteel McCreery is an Integration Application Specialist II Communications\, providing communications and automation applications engineering support to sales\, consultants\, utility and industrial customers in addition to SEL’s internal Engineering Services team. \nDoug Westlund\, P. Eng.\, has 30 years’ experience in technology and cyber security in the utility and telecommunications markets. In his role at AESI he assists utility executive teams and their Boards with strategic planning and risk management. He has led more than 100 cyber security projects for generation\, transmission and distribution utilities\, developed risk management for the Ontario LDC insurer (MEARIE)\, and developed cyber security best practices and programs for the American Public Power Association and its 2\,000 distribution utility members.
URL:https://www.ieeetoronto.ca/event/cyber-security-for-utilities-seminar/
LOCATION:Room 202\, Galbraith Building\, 35 St. George St. Toronto\, Ontario
CATEGORIES:Computer,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170313T120000
DTEND;TZID=America/Toronto:20170313T130000
DTSTAMP:20260712T193145
CREATED:20210430T002613Z
LAST-MODIFIED:20210430T004206Z
UID:10000111-1489406400-1489410000@www.ieeetoronto.ca
SUMMARY:Emerging Trends in Software\, Computing\, & Application Development
DESCRIPTION:Monday March 13\, 2017 at 12:00 p.m. Dr. Ilia Nika\, Software Engineering Technology Professor and Coordinator of Software Programs at ICET Department of Centennial College\, will be presenting “Emerging Trends in Software\, Computing\, & Application Development”. \nDay & Time: Monday\, March 13th\, 2017\n12:00 p.m. – 1:00 p.m. \nSpeaker: Dr. Ilia Nika\nSoftware Engineering Technology Professor and Coordinator of Software Programs\nICET Department\, Centennial College \nLocation: Room TRS2164 (8th Floor of the Building)\n575 Bay Street (Entrance at 55 Dundas Street West)\, Ryerson University \nContact: Dr. Maryam Davoudpour \nOrganizers: WIE\, Measurement/Instrumentation-Robotics\, Magnetics\, Computer Science Department of Ryerson University \nAbstract: Software is taking the planet by storm. Whether is engineering\, manufacturing\, medicine\, business\, arts\, or education\, the use of software is changing the way we live and is helping to improve people’s lives. \nIn this talk we will present several emerging trends in software\, computing\, and application development\, as well as show some of the recent applications in various areas. Most importantly\, we will relate the recent changes to ongoing curriculum updates to computing program across the education system. \nBiography: Ilia has a Ph.D. in Applied mathematics\, and more than 30 years of experience in mathematical modeling\, software development\, teaching\, applied research\, and curriculum development. \nHis main areas of expertise include mathematical modeling\, Java and .NET programming\, and mobile application development. Ilia has developed several automated systems for signal processing of geophysical data including the solution of inverse resistivity problem in resistivity logging. He is very interested in applications of machine learning in both engineering and education and has developed an application for predicting student retention in community colleges using institutional data and ensemble learning. Ilia has developed and taught courses in Software Systems Design and Computer Communications & Networking degree programs\, as well as courses in Software Engineering Technology programs. Ilia has been principal investigator and/or co-investigator in several ARIC projects. He is also an Information Technology Management and Continuing Education part-time instructor\, at Ryerson University (2007 – Present). Currently he is teaching Emerging Technologies course for Software Engineering Technology students\, Centennial College.
URL:https://www.ieeetoronto.ca/event/emerging-trends-in-software-computing-application-development/
LOCATION:Room TRS2164 (8th Floor of the Building)\, 575 Bay Street (Entrance at 55 Dundas Street West)\, Ryerson University
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170306T120000
DTEND;TZID=America/Toronto:20170306T130000
DTSTAMP:20260712T193145
CREATED:20210430T002613Z
LAST-MODIFIED:20210430T004240Z
UID:10000110-1488801600-1488805200@www.ieeetoronto.ca
SUMMARY:Big Data
DESCRIPTION:Monday March 6\, 2017 at 12:00 p.m. Dr. Ann Cavoukian will be presenting “Big Data”. \nDay & Time: Monday\, March 6th\, 2017\n12:00 p.m. – 1:00 p.m. \nSpeaker: Dr. Ann Cavoukian \nLocation: Room TRS2164 (8th Floor of the Building)\n575 Bay Street (Entrance at 55 Dundas Street West)\, Ryerson University \nContact: Dr. Maryam Davoudpour \nOrganizers: WIE\, Measurement/Instrumentation-Robotics\, Magnetics\, Computer Science Department of Ryerson University \nBiography: Dr. Ann Cavoukian is recognized as one of the world’s leading privacy experts. She is presently the Executive Director of Ryerson University’s Privacy and Big Data Institute. Dr. Cavoukian served an unprecedented three terms as the Information & Privacy Commissioner of Ontario\, Canada. There she created Privacy by Design\, a framework that seeks to proactively embed privacy into design\, thereby achieving the strongest protection possible. In 2010\, International Privacy Regulators unanimously passed a Resolution recognizing Privacy by Design as an international standard. Since then\, PbD has been translated into 39 languages. \nDr. Cavoukian has received numerous awards recognizing her leadership in privacy\, most recently as of the Top 100 Leaders in Identity (January\, 2017).
URL:https://www.ieeetoronto.ca/event/big-data/
LOCATION:Room TRS2164 (8th Floor of the Building)\, 575 Bay Street (Entrance at 55 Dundas Street West)\, Ryerson University
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170227T120000
DTEND;TZID=America/Toronto:20170227T130000
DTSTAMP:20260712T193145
CREATED:20210430T002613Z
LAST-MODIFIED:20210430T004354Z
UID:10000106-1488196800-1488200400@www.ieeetoronto.ca
SUMMARY:Health Apps by Design: A Reference Architecture for Mobile Apps for Health
DESCRIPTION:Monday February 27\, 2017 at 12:00 p.m. Dr. Karim Keshavjee will be presenting “Health Apps by Design: A Reference Architecture for Mobile Apps for Health”. \nDay & Time: Monday\, February 27th\, 2017\n12:00 p.m. – 1:00 p.m. \nSpeaker: Dr. Karim Keshavjee \nLocation: Room TRS2164 (8th Floor of the Building)\n575 Bay Street (Entrance at 55 Dundas Street West)\, Ryerson University \nContact: Dr. Maryam Davoudpour \nOrganizers: WIE\, Measurement/Instrumentation-Robotics\, Magnetics\, Computer Science Department of Ryerson University \nBiography: Karim is a Family Physician with over 25 years of experience designing\, developing and implementing Electronic Health Records/Electronic Medical Records and helping clinicians use them effectively. Currently working on architecting a scalable and sustainable technology system that will help us prevent diabetes cost-effectively. Diabetes prevention is feasible\, but is not cost-effective. I believe an engineered solution could change things dramatically.
URL:https://www.ieeetoronto.ca/event/health-apps-by-design-a-reference-architecture-for-mobile-apps-for-health/
LOCATION:Room TRS2164 (8th Floor of the Building)\, 575 Bay Street (Entrance at 55 Dundas Street West)\, Ryerson University
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170213T120000
DTEND;TZID=America/Toronto:20170213T130000
DTSTAMP:20260712T193145
CREATED:20210430T002612Z
LAST-MODIFIED:20210430T004533Z
UID:10000103-1486987200-1486990800@www.ieeetoronto.ca
SUMMARY:Micro-Scale Robots: Magnetic Actuation for Wireless Manipulation
DESCRIPTION:Monday February 13\, 2017 at 12:00 p.m. Dr. Diller\, Assistant Professor in the department of Mechanical and Industrial Engineering at the University of Toronto\, will be presenting “Micro-Scale Robots: Magnetic Actuation for Wireless Manipulation”. \nSpeaker: Dr. Diller\nAssistant Professor\, Mechanical and Industrial Engineering\, University of Toronto \nDay & Time: Monday\, February 13th\, 2017\n12:00 p.m. to 1:00 p.m. \nLocation: Room TRS2164\, 575 Bay Street (Entrance at 55 Dundas Street West)\nRyerson University (TRS2164 is on the 8th floor of the building) \nOrganizer: WIE\, Measurement/Instrumentation-Robotics\, Magnetics\, Computer Science Department of Ryerson University \nAbstract: Micro-scale mobile robots can physically access small spaces in a versatile and non-invasive manner. Such microrobots under 1 mm in size have potential unique applications for object manipulation\, local sensing and cargo delivery in healthcare\, microfluidics and advanced materials fabrication. These devices are powered and controlled remotely using externally-applied magnetic fields for motion in 2D and 3D. This talk will introduce our experimental work in micro-manipulation using single and teams of these devices. \nBiography: Dr. Diller is an Assistant Professor in the department of Mechanical and Industrial Engineering at the University of Toronto. He received his B.S. and M.S. in Mechanical Engineering at Case Western Reserve University\, and Ph.D. at Carnegie Mellon University in 2013. His current work focuses on fabrication and control relating to remote actuation of micro-scale devices using magnetic fields\, medical robotics\, smart materials\, and swimming at small size scales.
URL:https://www.ieeetoronto.ca/event/micro-scale-robots-magnetic-actuation-for-wireless-manipulation/
LOCATION:Room TRS2164\, 575 Bay Street (Entrance at 55 Dundas Street West)
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20170123T120000
DTEND;TZID=America/Toronto:20170123T130000
DTSTAMP:20260712T193145
CREATED:20210430T002611Z
LAST-MODIFIED:20210430T005110Z
UID:10000097-1485172800-1485176400@www.ieeetoronto.ca
SUMMARY:Abstraction in Situation Calculus Action Theories
DESCRIPTION:Monday January 23\, 2017 at 12:00 p.m. Bita Banihashemi\, PhD Candidate in Computer Science at York University\, will be presenting “Abstraction in Situation Calculus Action Theories”. \nSpeaker: Bita Banihashemi\nPhD Candidate\, Computer Science\nYork University \nDay & Time: Monday\, January 23\, 2017\n12:00 p.m. – 1:00 p.m. \nLocation: Room TRS2164\, 575 Bay Street (entrance at 55 Dundas Street West)\, Ryerson University \nContact: Maryam Davoudpour \nOrganizer: WIE\, Magnetics\, Measurement/Instrumentation-Robotics \nAbstract: We develop a general framework for agent abstraction based on the situation calculus and the ConGolog agent programming language. We assume that we have a high-level specification and a low-level specification of the agent\, both represented as basic action theories. A refinement mapping specifies how each high-level action is implemented by a low-level ConGolog program and how each high-level fluent can be translated into a low-level formula. We define a notion of sound abstraction between such action theories in terms of the existence of a suitable bisimulation between their respective models. Sound abstractions have many useful properties that ensure that we can reason about the agent’s actions (e.g.\, executability\, projection\, and planning) at the abstract level\, and refine and concretely execute them at the low level. We also characterize the notion of complete abstraction where all actions (including exogenous ones) that the high level thinks can happen can in fact occur at the low level. \nBiography: Bita Banihashemi is currently a PhD candidate in Computer Science at York University. Her research is primarily focused on agent supervision\, which is a form of control/customization of an agent’s behavior. Her research interests include Knowledge Representation and Reasoning\, Autonomous Agents and Multi-agent Systems\, and AI and the Web.
URL:https://www.ieeetoronto.ca/event/abstraction-in-situation-calculus-action-theories/
LOCATION:Room TRS2164\, 575 Bay Street (entrance at 55 Dundas Street West)\, Ryerson University
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20161208T180000
DTEND;TZID=America/Toronto:20161208T210000
DTSTAMP:20260712T193145
CREATED:20210430T002610Z
LAST-MODIFIED:20210430T005303Z
UID:10000094-1481220000-1481230800@www.ieeetoronto.ca
SUMMARY:Women in Robotics Series: Erica Tiberia\, Roboticist and Educator
DESCRIPTION:Thursday December 8\, 2016 at 6:00 p.m. Erica Tiberia\, roboticist\, creative technologist\, educator and entrepreneur\, will be presenting “Women in Robotics Series”. \nSpeaker: Erica Tiberia\nRoboticist\, Creative Technologist\, Educator and Entrepreneur \nDay & Time: Thursday\, December 8\, 2016\n6:00 p.m. – 9:00 p.m. \nLocation: Health Innovation Hub\n263 McCaul Avenue\, Toronto\, ON \nThe meeting room is on the first floor. Note that the doors to H2I will lock at 6 but someone will be there to let you in. Please knock. \nOrganizer: IEEE Toronto Section\, Engineering in Medicine and Biology Society (EMBS) and the IEEE Women in Engineering Toronto Section (WIE) \nRVSP at https://www.meetup.com/Get-Your-Bot-On-Robotics-Hackathon/events/234793342/ \nAgenda: 6:00 pm – Networking\n6:30 pm – Welcome\n6:40 pm – Erica Tiberia – talk and Q&A\n7:40 pm – Pitches from the community – Community members can ask for assistance on their projects\n8:00 pm – Networking\n9:00 pm – Close \nBiography: Erica is a tech educator and creative technologist. She has a technical background in molecular biology and biotechnology and a passion for science communication\, digital education\, and emerging technology. She has designed and coordinated education programs involving electronics\, robotics\, digital fabrication and programming for kids and adults. She also designs\, builds and programs robots and is a level 1 winner of the 2016 sample return robot NASA Centennial Challenge. Her work has been featured on Bloomberg Tech\, Discovery Channel’s Daily Planet\, NASA.gov and more. \nA scientist by training\, Erica has a B.Sc. In Molecular Biology and Biotechnology from the University of Waterloo. She completed M.Sc. work on research done at the Department of Medical Biophysics at the University of Toronto. She has done molecular biology research at Cornell University\, the University of Waterloo\, the Hospital for Sick Children\, and the Princess Margaret Cancer Center\, and is an author of multiple peer reviewed scientific papers.
URL:https://www.ieeetoronto.ca/event/women-in-robotics-series-erica-tiberia-roboticist-and-educator/
LOCATION:Health Innovation Hub\, 263 McCaul Avenue\, Toronto\, ON
CATEGORIES:Engineering in Medicine and Biology,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20161124T120000
DTEND;TZID=America/Toronto:20161124T130000
DTSTAMP:20260712T193145
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20161121T110000
DTEND;TZID=America/Toronto:20161121T120000
DTSTAMP:20260712T193145
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:20161118T120000
DTEND;TZID=America/Toronto:20161118T130000
DTSTAMP:20260712T193145
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
END:VEVENT
END:VCALENDAR