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DTSTART;TZID=America/Toronto:20201113T100000
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DTSTAMP:20260427T202841
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SUMMARY:Python Project-based Workshop: How to build your own intelligent agent
DESCRIPTION:On Friday\, November 13\, 2020 at 10:00 a.m.\, Enas Tarawneh will present “Python Project-based Workhsop: How to build your own intelligent agent”. \nDay & Time: Friday\, November 13\, 2020\n10:00 a.m. – 12:00 p.m. \nSpeaker: Enas Tarawneh \nOrganizers: IEEE Toronto WIE\, IM/RA\, York University WiCSE \nLocation: Virtual \nContact: Ayda Naserialiabadi \nAbstract: The workshop will focus on creating an intelligent agent that can listen to questions given through natural language and generate natural language responses. The workshop will also dabble into customizing the voice used in these responses. This workshop includes: \na) Programming speech recognition. \nb) Leveraging cloud-based resources such as speech-to-text\, text-to-speech and AI querying to generate responses. \nc) Connect these together to create a turn taking intelligent agent. \nd) Customizing the voice used in these generated responses. \nRegister: Please click here to register. \nBiography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision\, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this\, Enas worked as an academic Lead\, instructor\, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly\, Enas is a wife and mother of three\, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.
URL:https://www.ieeetoronto.ca/event/python-project-based-workshop-how-to-build-your-own-intelligent-agent/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201113T180000
DTEND;TZID=America/Toronto:20201113T200000
DTSTAMP:20260427T202841
CREATED:20210430T023718Z
LAST-MODIFIED:20210615T010123Z
UID:10000219-1605290400-1605297600@www.ieeetoronto.ca
SUMMARY:IEEE Toronto Virtual AGM 2020
DESCRIPTION:The IEEE Toronto Section is happy to announce our first ever online IEEE Toronto section Annual General Meeting (AGM).  Since we are not restricted to a limited number of physical participants\, we are happy to open this even up to all IEEE Toronto members\, as well as any guests who they would like to invite.  Please feel free to pass this information along to any interested parties. \nWe will hear from the IEEE Toronto section\, IEEE Canada\, and IEEE Global representatives\, as well as keynote speakers from local industry.  Awards will be presented to oustanding contributors for the past year\, and prizes will be available for all attendees.  You must register for the event using the link on this page in order to qualify for prizes.  Only IEEE members will be eligible for prizes. \nDate: Friday\, November 13\, 2020\n6:00 p.m. – 8:00 p.m. \nLocation: Virtual – WebEx \nRegister: Please visit https://events.vtools.ieee.org/m/241427 for the registration link and event link. \nAgenda: \n\n6:00pm: Introduction and online meeting details\n6:05pm: Section Chair report from Ali Nabavi\n6:15pm: IEEE Global update from Kathy Land\n6:30pm: Prize draw\n6:35pm: Keynote presentation from Dr. Inmar Givoni\, Director of Engineering at Uber Advanced Technology Group\, Toronto\n7:05pm: IEEE Canada update from Maike Luiken\n7:20pm: Keynote presentation from Dr. Martin Snelgrove\, CTO at Untether AI\n7:50pm: Awards presentation and prize draw\n\nKeynote Speakers: Dr. Inmar Givoni\, Dr. Martin Snelgrove \nTopic: AI for Self-Driving Cars (Dr. Inmar Givoni) \nAt the Uber ATG R&D centre\, we are working on advanced state-of-the-art models for solving a large range of problems in self driving – perception and prediction\, motion planning\, mapping and localization\, sensor simulation\, and more. All that work is publicly available through academic conferences and venues. In this talk I will cover some exciting recent advances and also discuss the path to production – how we go from research prototypes to deployed systems on vehicle. \nTopic: Building Cool Silicon in the Frozen North (Dr. Matin Snelgrove) \nBiographies: \n\n\n\nDr. Inmar Givoni\nInmar Givoni is a Director of Engineering at Uber Advanced Technology Group\, Toronto\, where she leads a team whose mission is to bring from research and into production cutting-edge deep-learning models for self-driving vehicles. She 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. She worked at Microsoft Research\, Altera (now Intel)\, Kobo\, and Kindred at roles ranging from research scientist to VP\, Big Data\, applying machine learning techniques to various problem domains and taking concepts from research to production systems. 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 AI events\, and is particularly interested in outreach activities for young women\, encouraging them to choose technical career paths. For her volunteering efforts she has received the 2017 Arbor Award from UofT. In 2018 she was recognized as one of Canada’s 50 inspiring women in STEM and recently recognized as one of Canada’s Tech Titans: Top 19 of 2019.. She was featured in Marie Claire\, Toronto Life\, The Globe and Mail\,  TWIML & AI podcast\, ReWork’s list of 30 influential women in Canadian AI\, UofT’s News\, and other media venues. \nDr. Martin Snelgrove \n\n\n\nMartin is CTO of Untether AI\, who have just announced their first product: a high-performance AI chip that puts Peta-operations per second onto a board. The magic to getting the massive computing power AI needs is to be very careful with the femtoJoules: you can only fit so many watts in a box\, so you have to use them very carefully. It turns out that to do that you have to rethink John von Neumann’s 1947 computer architecture\, and it turns out that understanding AI as a workload lets you do that.    Martin was a professor at the University of Toronto\, then had a Nortel/Mitel-supported industrial research chair at Carleton. Over 16 years of teaching he saw the vast majority of the students Canada paid for head straight down to California. So he moved over to the dark side\, and has been in the founding team for three tech companies in Toronto; Soma\, Kapik and now Untether. It turns out that because Canada produces great engineers\, you can give them a great place to work by putting teams together. Top-grade talent likes working with top-grade talent.
URL:https://www.ieeetoronto.ca/event/ieee-toronto-virtual-agm/
LOCATION:Toronto\, Canada
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201120T143000
DTEND;TZID=America/Toronto:20201120T160000
DTSTAMP:20260427T202841
CREATED:20210430T023718Z
LAST-MODIFIED:20210501T001309Z
UID:10000221-1605882600-1605888000@www.ieeetoronto.ca
SUMMARY:Machine Learning and Digital Signal Processing Applications in Online Video Platforms
DESCRIPTION:On Friday\, November 20\, 2020 at 2:30 p.m.\, Mehrdad Fatourechi will present “Machine Learning and Digital Signal Processing Applications in Online Video Platforms”. \nDay & Time: Friday\, November 20\, 2020\n2:30 p.m. – 4:00 p.m. \nSpeaker: Mehrdad Fatourechi\, PhD \nOrganizer: IEEE Signal Processing Chapter Toronto Section \nLocation: This event will be hosted on google meets\nMeeting ID\nmeet.google.com/yej-opbp-uxo\nPhone Numbers\n(US)+1 617-675-4444\nPIN: 974 200 026 6220# \nContact: Mehrnaz Shokrollahi \nAbstract: In the past 15 years\, we have seen exponential growth in online video platforms such as YouTube\, Instagram\, Netflix\, TikTok\, amongst others. In this talk\, we will look at some of the challenges these platforms have been facing and how machine learning and digital signal processing are playing important roles in addressing these challenges. We will focus on discussing 3 areas:\n1- Content discovery and SEO optimization\n2- Establishing trust and safety\, and\n3- Protecting the rights of the content owners\nWe will also discuss some of the areas that are currently open for future research. \nRegister: Registration is not required. \nBiography: Mehrdad is the VP of Engineering of BroadbandTV\, a media-tech company that is advancing the world through the creation\, distribution\, management\, and monetization of content. Mehrdad is currently responsible for managing the research and development (R&D) and IT departments. When he joined BBTV in March 2010\, he was initially responsible for managing the research team\, and then his role later expanded to lead the entire engineering department. \nUnder his leadership\, BBTV’s tech team has become one of the leading and most innovative teams in digital video space\, building several internal and external products (including VISO Catalyst\, VISO Collab\, VISO Prism\, VISO NOVI\, and VISO Mine) as well as filing several patents. Mehrdad has an in-depth knowledge of digital signal processing\, machine learning\, and pattern\nrecognition algorithms. He holds a PhD in Electrical Engineering from the University of British Columbia (UBC)\, where he was nominated for NSERC’s Doctoral Prize Award. He is an author on more than 30 journal and conference papers with a focus on pattern recognition\, machine learning and intelligent algorithms. He previously held positions in the tech/education industry including roles as a research associate and sessional lecturer at UBC\, as well as consulting with several companies (INETCO\, BC Mining Research\, and STC enterprises). He was the co-chair of the IEEE Signal Processing Chapter in Vancouver for two years.
URL:https://www.ieeetoronto.ca/event/machine-learning-and-digital-signal-processing-applications-in-online-video-platforms/
CATEGORIES:Signal Processing
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201126T180000
DTEND;TZID=America/Toronto:20201126T210000
DTSTAMP:20260427T202841
CREATED:20210430T023718Z
LAST-MODIFIED:20210501T001431Z
UID:10000223-1606413600-1606424400@www.ieeetoronto.ca
SUMMARY:Security of the Internet of Things (IoT): Are We Paranoid Enough?
DESCRIPTION:On Thursday\, November 26\, 2020 at 6:00 p.m.\, Swarup Bhunia will present “Security of the Internet of Things (IoT): Are We Paranoid Enough?”. \nDay & Time: Thursday\, November 26\, 2020\n6:00 p.m. – 9:00p.m. \nSpeaker: Swarup Bhunia of U. of Florida NSF SFS Program \nOrganizer: IEEE Toronto Computer Society \nLocation: Virtual – Since this will be a virtual event we will relay the connectivity information later to individual registrants on their email addresses. \nContact: Younas Abbas \nAbstract: The session will help IoT enthusiasts understand the challenges of security implementation at the hardware level for modern electronic hardware. \nSecurity has become a critical design challenge for modern electronic hardware. With the emergence of the Internet of Things (IoT) regime that promises exciting new applications from smart cities to connected autonomous vehicles\, security has come to the forefront of the system-design process. Recent discoveries and reports on numerous security attacks on microchips and circuits violate the well-regarded concept of hardware trust anchors. It has prompted system designers to develop a wide array of design-for-security and test/validation solutions to achieve high-security assurance for electronic hardware\, which supports the software stack. At the same time\, emerging security issues and countermeasures have also led to interesting interplay between security\, verification and interoperability. Verification of hardware for security and trust at different levels of abstraction is rapidly becoming an integral part of the system design flow. The global economic trend that promotes outsourcing of design and fabrication process to untrusted facilities coupled with the prevalent practice of system on chip design using untrusted third-party intellectual property blocks (IPs)\, has given rise to the critical need of trust verification of IPs\, system-on-chip design\, and fabricated chips. \nThe talk will also cover a spectrum of security challenges for IoTs and describe emerging solutions in creating secure trustworthy hardware that can enable IoT security for the mass. \nAgenda: \n\n6:00 PM: Virtual Registration and welcome remarks by session chair and vice chair\n6:20 PM: Technical Session\n8:20 PM: Q & A\n8:50 PM: Closing\n\nRegister: Please visit https://events.vtools.ieee.org/m/240161 to register. \nBiography: Swarup Bhunia received his B.E. (Hons.) from Jadavpur University\, Kolkata\, India\, and the M.Tech. degree from the Indian Institute of Technology (IIT)\, Kharagpur. He received his Ph.D. from Purdue University\, IN\, USA\, in 2005. Currently\, Dr. Bhunia is a preeminence professor and Steven Yatauro Faculty Fellow in the department of Electrical and Computer Engineering at University of Florida\, Gainesville\, FL\, USA. Earlier\, Dr. Bhunia has served as the T. and A. Schroeder associate professor of Electrical Engineering and Computer Science at Case Western Reserve University\, Cleveland\, OH\, USA. He has over twenty years of research and development experience with over 250 publications in peer-reviewed journals and premier conferences and ten edited or authored books (two upcoming) in the area of VLSI design\, CAD and test techniques. His research interests include low power and robust design\, hardware security and trust\, adaptive nanocomputing and novel test methodologies. He has worked in the semiconductor industry on RTL synthesis\, verification\, and low power design for about three years. Dr. Bhunia received IEEE-CS TCVLSI Distinguished Research Award (2018)\, IBM Faculty Award (2013)\, National Science Foundation (NSF) career development award (2011)\, Semiconductor Research Corporation (SRC) technical excellence award (2005) as a team member\, best paper award in ACM Transactions on Design Automation of Electronic Systems (TODAES 2017)\, best paper award in IEEE BioMedical Circuits and Systems Conference (BioCAS 2016)\, best paper award in International Conference on VLSI Design (VLSI Design 2012)\, best paper award in International Conference on Computer Design (ICCD 2004)\, best paper award in Latin American Test Workshop (LATW 2003)\, and best paper nomination in Asia and South Pacific Design Automation Conference (ASP-DAC 2006) and in Hardware Oriented Test and Security (HOST 2010)\, nomination for John S. Diekhoff Award\, Case Western Reserve University (2010) and SRC Inventor Recognition Award (2009). \nDr. Bhunia has been serving as founding editor-in-chief in Journal of Hardware and Systems Security (HaSS)\, an associate editor of IEEE Transactions on CAD (TCAD)\, IEEE Transactions on Multi-Scale Computing Systems (TMSCS)\, ACM Journal of Emerging Technologies (JETC)\, and Journal of Low Power Electronics (JOLPE). He has served as a guest editor of IEEE Design & Test of Computers (2010\, 2013)\, IEEE Computer Magazine (2016)\, IEEE Transcation on CAD (2015)\, and IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2014). He has served as co-program chair of IEEE IMS3TW 2011\, IEEE NANOARCH 2013\, IEEE VDAT 2014\, and IEEE HOST 2015\, and in the technical program committee of Design Automation Conference (2014-2015)\, Design Automation and Test in Europe (DATE 2006-2010)\, Hardware Oriented Trust and Security Symposium (HOST 2008-2010)\, IEEE/IFIP International Conference on VLSI (VLSI SOC 2008)\, Test Technology Educational Program (TTEP 2006-2008)\, International Symposium on Low Power Electronics and Design (ISLPED 2007-2008)\, IEEE/ACM Symposium on Nanoscale Architectures (NANOARCH 2007-2010)\, IEEE International Conference on VLSI (ISVLSI 2008-2010)\, International Conference of VLSI Design as a track chair (2010) and in the program committee of International Online Test Symposium (IOLTS 2005). Dr. Bhunia has given tutorials on low-power and robust design and test in premier conference including International Test Conferences (ITC 2009)\, VLSI Test Symposium (VTS 2010)\, and Design Automation and Test in Europe (DATE 2009). He is a distingusihed ACM speaker and a senior member of IEEE. \nLab Website | New Text Book
URL:https://www.ieeetoronto.ca/event/security-of-the-internet-of-things-iot-are-we-paranoid-enough/
CATEGORIES:Computer
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20201127T100000
DTEND;TZID=America/Toronto:20201127T120000
DTSTAMP:20260427T202841
CREATED:20210430T023718Z
LAST-MODIFIED:20210501T001506Z
UID:10000225-1606471200-1606478400@www.ieeetoronto.ca
SUMMARY:Python Project-based Workshop: How to track motion from bird eye multiple camera perspectives
DESCRIPTION:On Friday\, November 27\, 2020 at 10:00 a.m.\, Enas Tarawneh will present “Python Project-based Workhsop: How to build your own intelligent agent”. \nDay & Time: Friday\, November 27\, 2020\n10:00 a.m. – 12:00 p.m. \nSpeaker: Enas Tarawneh \nOrganizers: IEEE Toronto WIE\, IM/RA\, York University WiCSE \nLocation: Virtual \nContact: Ayda Naserialiabadi \nAbstract: The workshop will focus on extracting images from multiple sources (webcam\, video\, ROS bag) and perform image processing to detect regions of high motion or change over a period. The workshop will also show how to stitch the multiple bird eye views from multiple cameras together to form one image of the floor where the motion is detected. This workshop includes: \na) Extracting frames from a camera\, video or ROS bag and generating a image stream \nb) Stitching the multiple bird eye views and calibrating to create one 2D image of the floor \nc) Perform multiple image processing to extract motion \nd) Create a motion map on the generated image of the floor. \nRegister: Please click here to register. \nBiography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision\, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this\, Enas worked as an academic Lead\, instructor\, and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly\, Enas is a wife and mother of three\, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.
URL:https://www.ieeetoronto.ca/event/python-project-based-workshop-how-to-track-motion-from-bird-eye-multiple-camera-perspectives/
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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