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DTSTART;TZID=America/Toronto:20210309T130000
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DTSTAMP:20261104T212022
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SUMMARY:Classifying Holes\, Voids\, Negative Objects and Nothing and Quantum Computing
DESCRIPTION:Date: Tuesday\, March 9\, 2021 \nTime: 1:00 p.m. – 2:00 p.m. \nSpeakers: Katrina Hooper\, Javaid Iqbal Zahid \nLocation: Virtual – Zoom \nOrganizers: IEEE Toronto WIE \nContact: Maryam Davoudpour \nAbstracts:  \nIn the fields of Urban Search and Rescue (USAR)\, Search and Rescue (SAR) and autonomous travel\, understanding the entirety of the environment is an asset and most times a requirement. For example\, in USAR\, it is in the spaces between objects within a rubble pile\, which are a type of negative objects\, where trapped people can be found and where structural instabilities are located. While most research focuses on classifying positive objects\, we work to build a framework to understand negative objects and a set of standardized terminology to discuss and classify them. This presentation will discuss the necessity for creating a lexicon for negative objects\, exhibit applications of negative object research\, and suggest a starting point for vocabulary to reduce ambiguity around classes of negative objects. Furthermore\, we aim to spark a discussion about negative object research and suggest a starting point for a novel research area. \nQuantum computing is one of the emerging technologies for the future. Quantum computing is based on the principles of quantum mechanics and fuses beautifully with computer science. It is often in the news when computing supremacy is discussed. Governments and big technology companies like\, IBM\, Google\, Microsoft\, Intel\, etc. along with private partners\, are heavily investing in this technology. Quantum mechanics is based on counterintuitive properties like superposition\, entanglement\, and interference that make it different from classical computing. It is expected to outperform classical computing in certain areas of applications\, like medical science\, computer science\, and cryptography\, to name a few. In this talk\, we will discuss the fundamentals of quantum computing with an introduction to the principle/properties of quantum mechanics\, its usefulness for representing information\, and what operations can be performed on the information represented by Qubits. While quantum gates\, the fundamental information processing units of quantum computing are based on mathematical constructs from Linear Algebra and Probability\, classical computing is based on Boolean Algebra and Logics gates. A number of possibilities for representing and processing quantum information are much larger than classical computing – hence the promise of larger computer power of quantum computing. \nBiographies: \nKatrina Hooper \nKatrina is in her final year in her Computer Science Masters at Ryerson University. She holds an Honors BSc. from the University of Toronto with a specialist in Physics and a minor in Mathematics. Her interests are in the development of negative object research and imitation learning for chess engines. Under the supervision of Dr. Alex Ferworn\, she works to build a lexicon and a classifier for negative objects. \nJavaid Iqbal Zahid \nMr. Javaid Iqbal Zahid is currently a PhD student in Department of Computer Science\, Ryerson University\, and is supervised by Dr. Alex Ferworn. Mr. Javaid holds Bachelor of Science degree in Telecommunication Engineering and Master of Science degree in Electrical Engineering\, specializing in Communications and Computing. Additionally\, he obtained advanced training in\nCryptology and Wireless communications. Inspired by Dr. Claude E. Shannon\, he has special interest in information theory\, cryptography. He has been involved in deployment and operations of data networks and datacenters for a large government organization. He has also been acting as chief information security officer (CISO). At Ryerson\, he is currently conducting research in quantum computing with special attention in quantum cryptography. He is member of IEEE Computer\, Communication\, and Information Theory Societies.
URL:https://www.ieeetoronto.ca/event/classifying-holes-voids-negative-objects-and-nothing-and-quantum-computing/
CATEGORIES:Women in Engineering
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DTSTART;TZID=America/Toronto:20210310T150000
DTEND;TZID=America/Toronto:20210310T170000
DTSTAMP:20261104T212022
CREATED:20210430T023723Z
LAST-MODIFIED:20210504T203713Z
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SUMMARY:In celebration of International Women's Day Wearables in Healthcare: A Woman's Perspective
DESCRIPTION:Join us for an afternoon celebrating the work of women in wearable technology focused on health and life stages. Network with women using and integrating tech for the value it can provide. Collaborate in workshops where we will co-design the future wearables\, apps and services that address our priorities and needs. \nDate: 10 Mar 2021 \nTime: 03:00 PM to 05:00 PM \nSpeaker(s): Renn Scott\, Samira Rahimi \nLocation: Virtual \nOrganizer(s): IEEE Toronto WIE\, IM/RA \nContact: Toronto Section Affinity Group\,WIE\, Toronto Section Jt. Chapter\, IM09/RA24 \nBiographies: \nRenn Scott; MA\, Interaction Design\, RCA\, Founder + Chief Designer of Daily Goods Design LABS\, Senior Director of UX + ID at Myant \nA design leader and prolific inventor\, Renn has a passion for creating innovative user experiences and forward-thinking product designs. With over 20 years of experience at companies such as Myant\, IBM and BlackBerry in leadership roles within user experience\, design research\, consumer insights and strategic innovation\, Renn has helped design best in class products and experiences. \nRenn’s hands-on approach and point of view as a designer is radically different than most. For any project she always starts with ‘WHY create’ in the first place and uses a co-creative design methodology and best practices based on insights gained from female consumers. Renn’s experience and observations has been that there is a lack of female design leaders and designers in the tech and design fields. Instead of just leading by example Renn also strives to empower other women to make\, create and innovate in the field of design\, technology and fashion by sharing her insights\, skills and knowledge through Daily Goods Design LABS pop ups and educational event series. \nSamira Rahimi Eng. Ph.D.\, Assistant Professor\, Department of Family Medicine\, McGill University \nSamira Rahimi Eng. Ph.D. is an Assistant Professor in the Department of Family Medicine at McGill University\, affiliated scientist at Lady Davis Institute for Medical Research of the Jewish General Hospital\, and academic member of Mila—Quebec AI Institute. She is FRQS Junior 1 Research Scholar in human-centered AI in primary health care. \nHer work as Principal Investigator has been funded by the Fonds de recherche du Québec – Santé (FRQS)\, Natural Sciences and Engineering Research Council (NSERC)\, Roche Canada\, Brocher Foundation (Switzerland)\, and the Strategy for Patient-Oriented Research (SPOR)-Canadian Institutes of Health Research (CIHR). \nWith an interdisciplinary background\, Dr. Rahimi is interested in the development and implementation of clinical decision support tools and patient decision aids\, as well as integrating human-centered AI tools in primary health care. She specializes in computational intelligence\, decision making\, and applied operational research in health care.
URL:https://www.ieeetoronto.ca/event/in-celebration-of-international-womens-day-wearables-in-healthcare-a-womans-perspective/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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DTSTART;TZID=America/Toronto:20210323T090000
DTEND;TZID=America/Toronto:20210323T130000
DTSTAMP:20261104T212022
CREATED:20210430T023727Z
LAST-MODIFIED:20210809T204252Z
UID:10000368-1616490000-1616504400@www.ieeetoronto.ca
SUMMARY:Hands-on Reinforcement Learning Workshop using Python
DESCRIPTION:IEEE Young Professionals Affinity Group Montreal brings you a free hands-on reinforcement learning workshop using Python in Google Colab. This event is co-hosted by IEEE YP Ottawa\, YP Toronto\, YP Vancouver\, IEEE SBs of Polytechnique Montreal\, Concordia\, ETS\, INRS\, WIE Ottawa\, SIGHT Montreal\, and CAS technical chapter of vancouver section. All students at all levels are welcome to attend\, however\, registration is mandatory through the secure IEEE web portal. This workshop will cover the basics of using Colab\, an introduction to reinforcement learning\, and together we will write your first Q-learning code. The workshop will be interactive\, and you will have a chance to code with us and ask your questions. We will also have breaks\, a discussion forum\, polls\, and Q&A. \nVirtual platform info has been delivered to registrants in rounds of emails. For immediate assistance\, please write us at yp.ieee.mtl@gmail.com \nSpeakers: \nSadia Khaf \nSadia Khaf received the B.E. degree in electrical engineering from the National University of Sciences and Technology\, School of Electrical Engineering and Computer Science (NUST-SEECS)\, Islamabad\, Pakistan\, in 2015. She received the M.Sc. degree in electrical and electronics engineering from Bilkent University\, Ankara\, Turkey\, in 2018. From 2015 to 2018\, she was a Research Assistant with IONOLAB\, Turkey. From 2018 to 2020\, she worked with the Faculty of Electrical Engineering\, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI)\, Pakistan\, as a Lecturer. She conducted her research there on Mobile Edge Computing and Deep Learning with the TeleCoN research group. Currently\, she is with École de Technologie supérieure\, Montreal\, Canada\, as a Ph.D. student. Her research interests include reinforcement learning\, radio resource management\, cognitive radio networks\, and industrial internet-of-things (IIoT). She was the recipient of the highest level of merit scholarships at NUST\, Bilkent\, and ÉTS. She also secured the P.E.O. International Peace Scholarship. She is the co-founder of SAYA school\, Pakistan\, and IEEE Women in Engineering (WIE) branch at ÉTS. She serves as the Vice-Chair of the IEEE ÉTS and Industrial Relations Manager of the IEEE Montreal Young Professionals Affinity Group. \nFaye Satari \nFaye Satari was born in Quchan\, a small town with minimal educational infrastructure and facilities. When she finished primary school\, she was accepted in the provincial entrance exam of the Exceptional Talents High School. After excelling in high school and hard working around the clock\, she participated in a very competitive tuition-free nationwide university entrance exam (i.e. Konkour) among about one and half million participants; She was accepted in Computer Software Engineering of Urmia University. During her undergraduate education\, she actively participated in many teamwork projects and attended some technical seminars as well as joining associations at her university. Furthermore\, she got the title of top student in technical faculty of the university in one semester and received her B. Sc. degree in Computer Software Engineering from Urmia University of Technology\, Urmia\, Iran\, in 2008. She is currently pursuing an M.Sc.A. Computer Engineering in the Department of Computer and Software Engineering\, Polytechnique Montréal\, University of Montreal\, Montreal\, Canada and she is a member of IEEE Young Professionals. Her current research interests include the Internet of Things (IoT)\, Smart Cities\, and telecommunications systems.
URL:https://www.ieeetoronto.ca/event/hands-on-reinforcement-learning-workshop-using-python/
LOCATION:Montreal\, Quebec Canada
CATEGORIES:SIGHT,Women in Engineering,Young Professionals
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