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DTSTART;TZID=America/Toronto:20170717T160000
DTEND;TZID=America/Toronto:20170717T170000
DTSTAMP:20260712T205318
CREATED:20210430T012918Z
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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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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:20260712T205318
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
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20161116T173000
DTEND;TZID=America/Toronto:20161116T203000
DTSTAMP:20260712T205318
CREATED:20210430T002608Z
LAST-MODIFIED:20210430T005828Z
UID:10000087-1479317400-1479328200@www.ieeetoronto.ca
SUMMARY:Health Informatics Evening at Centennial College
DESCRIPTION:Wednesday November 16\, 2016 at 5:30 p.m. Igor Sirkovich\, Vikki Leung\, Karim Keshavjee and Jimmy Poulin\, will be presenting “Health Informatics Evening at Centennial College”. \nSpeakers & Agenda: 5:15 to 5:30 Event Registration \n1. Igor Sirkovich from 5:30 PM to 6:00 PM\nFounder and CEO of Xpertera\nHL7 FHIR and eHealth Architecture Consultant at Ontario Ministry of Health and Long-Term Care\nPresentation title: Current initiatives at the Ministry of Health and eHealth Ontario\, pan-Canadian standards collaborative\, and health informatics standards (HL7 FHIR)\, Xpertera introduction. \n2. Vikki Leung from 6:00 PM to 6:30 PM\nFull Stack Developer at Interdev Technologies Inc.\nPresentation title: Technology used for Community Paramedic Services\, Interdev Technologies \n3. Karim Keshavjee\, MD from 6:30 PM to 7:00 PM\nCEO of InfoClin Inc.\nAdjunct Professor at University of Toronto\, University of Victoria\nVisiting Scholar at Ryerson University\nAssociate Member at Centre for Evaluation of Medicine\, McMaster University\nNumerous publications on Health Informatics studies and medicine\nPresentation title: Health Apps by Design: A reference architecture for mobile apps for health \n4. Jimmy Poulin from 7:00 PM to 7:30 PM\nDirector of Operations at m-Health Solutions\nPresentation title: ECG signal remote collection via mobile wireless external recorder and smartphone. \n5. NSERC speaker (name will be announced later) from 7:30 PM to 8:00 PM\nPresentation: Funding opportunities for College Students in Science and Technologies programs. \n8:00 to 8:30 PM Networking \nDay & Time: Wednesday\, November 16\, 2016\n5:30 p.m. – 8:30 p.m. \nLocation: Room L1-02\, Centennial College\, Progress Campus\n941 Progress Ave.\, Toronto\, Ontario\, M1G 3T8\nMap: http://www.centennialcollege.ca/about-centennial/contact-us/campus-locations/ \nOrganizers: IEEE Toronto WIE\, Nicoleta Zouri\nIEEE Toronto WIE\, Magnetics\, Measurement/Instrumentation-Robotics\, Maryam Davoudpour \nRegistration: Registration is free\, but space is limited. Please register via email to Nicoleta Zouri \nAbstract: Offered as part of the Experiential Learning process for students in Health Informatics Program at Centennial College\, this event facilitate skills and knowledge transfer between audience and speakers through an interactive session. Digital health solutions will be discussed and software demos will be presented.
URL:https://www.ieeetoronto.ca/event/health-informatics-evening-at-centennial-college/
LOCATION:Room L1-02\, Centennial College\, Progress Campus 941 Progress Ave.\, Toronto
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20161111T113000
DTEND;TZID=America/Toronto:20161111T123000
DTSTAMP:20260712T205318
CREATED:20210430T002607Z
LAST-MODIFIED:20210430T010020Z
UID:10000084-1478863800-1478867400@www.ieeetoronto.ca
SUMMARY:Digital Health Initiatives at eHealth Ontario
DESCRIPTION:Friday November 11\, 2016 at 11:30 a.m. Hosna Sedghi\, Project Manager at eHealth Ontario\, will be presenting “Digital Health Initiatives at eHealth Ontario”. \nSpeaker: Hosna Sedghi\, MSc\, PMP\nProject Manager\, eHealth Ontario \nDay & Time: Friday\, November 11\, 2016\n11:30 a.m. – 12:30 p.m. \nLocation: Room A3-21\, Centennial College\, Progress Campus\n941 Progress Ave.\, Toronto\, Ontario\, M1G 3T8\nMap: http://www.centennialcollege.ca/about-centennial/contact-us/campus-locations/ \nOrganizers: IEEE Toronto WIE\, Nicoleta Zouri\nIEEE Toronto WIE\, Magnetics\, Measurement/Instrumentation-Robotics\, Maryam Davoudpour \nRegistration: Registration is free\, but space is limited. Please register via email to Nicoleta Zouri \nAbstract: eHealth Ontario was established by the provincial government in September 2008 as an independent agency of the Ontario Ministry of Health and Long-Term Care. eHealth Ontario is enabling physicians and health care providers to establish and maintain electronic health records (EHRs) for all of Ontario’s 13 million residents. \nBiography: With a background in software engineering Hosna Sedghi has worked as a project manager at eHealth Ontario for the past 3 years and as a project lead previous to that. Hosna has extensive experience with HL7 standards\, business analysis\, system analysis\, integration\, and health information.
URL:https://www.ieeetoronto.ca/event/digital-health-initiatives-at-ehealth-ontario/
LOCATION:Room A3-21\, Centennial College\, Progress Campus\, 941 Progress Ave.\, Toronto\, Ontario\, M1G 3T8
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20161031T110000
DTEND;TZID=America/Toronto:20161031T120000
DTSTAMP:20260712T205318
CREATED:20210430T002606Z
LAST-MODIFIED:20210430T010239Z
UID:10000080-1477911600-1477915200@www.ieeetoronto.ca
SUMMARY:Algorithms and Ethics
DESCRIPTION:Monday October 31\, 2016 at 11:00 a.m. Dr. Richard Lachman\, Associate Professor\, will be presenting “Algorithms and Ethics”. \nSpeaker: Dr. Richard Lachman\nAssociate Professor\, Digital Media in RTA School of Media \nDay & Time: Monday\, October 31\, 2016\n11:00 a.m. – 12:00 p.m. \nLocation: KHE 225\, 340 Church Street\, Ryerson \nContact: Maryam Davoudpour \nOrganizer: WIE\, Magnetics\, Measurement/Instrumentation-Robotics\, Computer Science Department of Ryerson University \nAbstract: Software algorithms are becoming more and more influential on the daily lives of citizens. Netflix\, Spotify\, Facebook\, and Google openly discuss their use of algorithms as part of their operations\, and mainstream critics have discussed the effects of filter-bubbles and echo-chambers on our points of view. However\, algorithms are increasingly embedded in governmental and legal systems – with mathematical models influencing everything from teacher evaluations to police dispatch locations\, and even parole board hearings. Algorithms exert their influence over our social\, political\, legal\, financial\, and educational systems\, with average citizens and politicians having little understanding of how computation affects the conventions\, laws\, and assumptions that underlay our society . What are the responsibilities of computer scientists and software engineers towards an ethical practice as algorithmic decision-making becomes integrated into policy? \nBiography: Dr. Richard Lachman directs Zone Learning for Ryerson University\, Research Development for the Faculty of Communication and Design\, and the Experiential Media Institute (formerly the Transmedia Research Centre). He is an Associate Professor\, Digital Media in the RTA School of Media\, and also serves as a Technology and Creative Consultant for entertainment and software-development projects. Dr Lachman completed his doctorate at UNE (Australia) studying software recommendation-engines\, did his undergraduate work in Computer Science at MIT\, and holds a masters degree from the MIT Media Lab’s “Interactive Cinema” group. His work with the Petz artificial-life software has over 3 million units shipped worldwide\, his later transmedia projects have garnered a Gemini\, CNMA and Webby Honouree awards\, and he has lead projects with UNICEF\, TIFF\, Penguin UK\, Kobo\, CTV\, the Discovery Channel Canada\, the Banff Centre for the Arts\, and the CRTC. His areas of research include virtual reality\, transmedia storytelling\, digital documentaries\, augmented/locative experiences\, mixed realities\, and collaborative design thinking.
URL:https://www.ieeetoronto.ca/event/algorithms-and-ethics/
LOCATION:KHE 225\, 340 Church Street\, Ryerson
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20161019T103000
DTEND;TZID=America/Toronto:20161019T113000
DTSTAMP:20260712T205318
CREATED:20210430T002606Z
LAST-MODIFIED:20210430T010643Z
UID:10000075-1476873000-1476876600@www.ieeetoronto.ca
SUMMARY:Blackberry’s Platform for True End-to-End Mobile Security for Healthcare
DESCRIPTION:Wednesday October 19\, 2016 at 10:30 a.m. Sara Jost\, Registered Nurse working at Blackberry as a Global Healthcare Industry Lead\, will be presenting “Blackberry’s Platform for True End-to-End Mobile Security for Healthcare”. \nSpeaker: Sara Jost\nRegistered Nurse\nGlobal Healthcare Industry Lead\, Blackberry \nDay & Time: Wednesday\, October 19\, 2016\n10:30 a.m. – 11:30 a.m. \nLocation: Centennial College Progress Campus\, Room A3-17 \nContact: Maryam Davoudpour\, Nicoleta Zouri \nOrganizer: WIE\, Magnetics\, Measurement/Instrumentation-Robotics \nAbstract: Blackberry is the one platform for true end-to-end mobile security. Together with our partners\, Blackberry has developed secure mobile solutions for healthcare organizations across the continuum of care. From clinics\, to hospitals\, to first responders\, home care workers and the home\, we offer tried and true solutions that maximize patient outcomes and improve the patient experience\, reduce costs and are fully secure to protect PHI. \n1. We have helped hospitals reduce their emergency room wait times by 50% and meet their code STEM window 100% of the time. \n2. In home care\, we have shown drastic reductions in missed visits and savings of more than $7\,000 per home care worker per year. \n3. Blackberry secure messaging has improved efficiency so much that hospitals staff have saved 2 hours per day just by eliminating the need to track down other team members. \nBiography: Sara Jost is a Registered Nurse working at Blackberry as a Global Healthcare Industry Lead where she leads the promotion of digital devices for use in medicine. Previously Sara worked as a Registered Nurse at Sunnybrook Hospital.
URL:https://www.ieeetoronto.ca/event/blackberrys-platform-for-true-end-to-end-mobile-security-for-healthcare/
LOCATION:Centennial College Progress Campus\, Room A3-17
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20161017T110000
DTEND;TZID=America/Toronto:20161017T120000
DTSTAMP:20260712T205318
CREATED:20210430T002605Z
LAST-MODIFIED:20210430T010716Z
UID:10000074-1476702000-1476705600@www.ieeetoronto.ca
SUMMARY:Using and Evaluating Gamification as a Strategy of Engagement in the Classroom
DESCRIPTION:Monday October 17\, 2016 at 11:00 a.m. Dr. Sergio A. A. Freitas\, Associate Professor in the Gama Engineering College at the University of Brasilia\, will be presenting “Using and Evaluating Gamification as a Strategy of Engagement in the Classroom”. \nSpeaker: Dr. Sergio A. A. Freitas\nAssociate Professor\, Gama Engineering College\, University of Brasilia\nCoordinator of Research\, FGA Software Factory Laboratory \nDay & Time: Monday\, October 17\, 2016\n11:00 a.m. – 12:00 p.m. \nLocation: KHE 225\, 340 Church Street\, Ryerson \nContact: Maryam Davoudpour \nOrganizer: WIE\, Magnetics\, Measurement/Instrumentation-Robotics\, Computer Science Department Ryerson University \nAbstract: The gamification of activities other than games has become one of the main goals of a new research topic. In the education area the proposal could not be different: the new generations entering the higher education has a lot of experience in the virtual information environment and games. So\, nothing more natural than checking the adherence of gamification to teaching this new student profile. In this scenario\, this talk presents a case study of a gamification for a discipline of an undergraduate course. The gamification space was built based on a framework that stands on basic human motivations. Finally\, I present some statistical evaluations of the students’ engagement after the introduction of gamification in the classroom. \nBiography: Sergio A. A. Freitas is currently an Associate Professor in the Gama Engineering College (FGA) 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 some Brazilian Federal Ministries.
URL:https://www.ieeetoronto.ca/event/using-and-evaluating-gamification-as-a-strategy-of-engagement-in-the-classroom/
LOCATION:KHE 225\, 340 Church Street\, Ryerson University
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20160926T110000
DTEND;TZID=America/Toronto:20160926T120000
DTSTAMP:20260712T205318
CREATED:20210430T002605Z
LAST-MODIFIED:20210430T003330Z
UID:10000072-1474887600-1474891200@www.ieeetoronto.ca
SUMMARY:Wireless Power Transfer Systems: Current Issues and Future Opportunities
DESCRIPTION:Monday September 26\, 2016 at 11:00 a.m. Sheldon S. Williamson\, Senior Member at IEEE\, will be presenting “Wireless Power Transfer Systems: Current Issues and Future Opportunities”. \nSpeaker: Sheldon S. Williamson\nAssociate Professor and Canada Research Chair in Electric Energy Storage Systems for Transportation Electrification\nDirector\, Smart Transportation Electrification and Energy Research (STEER) Group Advanced Storage Systems and Electric Transportation (ASSET) Laboratory\nUOIT – Automotive Center of Excellence (UOIT-ACE)\nDepartment of Electrical\, Computer\, and Software Engineering\nFaculty of Engineering and Applied Science\nUniversity of Ontario – Institute of Technology \nDay & Time: Monday\, September 26\, 2016\n11:00 a.m. – 12:00 p.m. \nLocation: Ryerson\, KHE 225 \nContact: Maryam Davoudpour \nOrganizer: WIE\, Magnetics\, Measurement/Instrumentation-Robotics\, Computer Science Department Ryerson University \nAbstract: More recently\, with the automotive market getting introduced to several EV models (Tesla\, Leaf\, Mitsubishi – for example)\, the need for charging them within cities\, suburbs\, and highways\, has driven power electronics engineers towards innovative ideas to solve the future charging infrastructure problem. Plugged charging topologies have been investigated thoroughly in recent years\, based on existing SAE J1772 standards for AC and DC charging\, ranging from 1.5 kW to 50 kW. On the other hand\, in the last five years or so\, power supply and charger manufacturing companies have been seriously started looking at wireless charging as an attractive solution\, to avoid physical drawbacks of wired or plugged versions of charging EVs. The high-level goals of this seminar is to focus on introducing advanced power electronics solutions for charging traction batteries and ultracapacitors using wireless technologies. Both inductive power transfer (IPT) as well as capacitive power transfer (CPT\, electrostatic) techniques of wireless charging will be introduced. The major market for IPT-based wireless charging is the mass transit industry\, such as electric trains\, buses\, and trams\, in the range of 10-50 kW\, while both IPT and CPT could be used for charging small utility- grade EVs (golf carts/security vehicles)\, in smaller sizes of 1.0 kW. \nCritical issues\, such as IPT transfer coil design\, CPT capacitor dielectric medium/transfer plate designs\, and converter topologies\, will be discussed. Detailed results of finite element analysis (FEA) designs for energizer and pick-up coils will be presented. Specific emphasis is placed on reducing the effect of skin effect and proximity effect for both in-motion and static charging (for varied switching frequencies and air-gap lengths). An important aspect that will also be covered is the design of charger topologies on the secondary side of the IPT or CPT system. The challenge is to come up with 1-stage power conversion techniques\, including high-frequency (HF) AC/DC rectification and DC/DC charger functionalities\, with conversion efficiencies of 95% or larger. \nThis seminar will be particularly useful for engineers with entry-level and medium-level knowledge of power electronics and energy storage systems for electric transportation. \nBiography: Sheldon S. Williamson (S’01–M’06–SM’13) received his Bachelors of Engineering (B.E.) degree in Electrical Engineering with high distinction from University of Mumbai\, India\, in 1999. He received the Masters of Science (M.S.) degree in 2002\, and the Doctor of Philosophy (Ph.D.) degree (with Honors) in 2006\, both in Electrical Engineering\, from the Illinois Institute of Technology\, Chicago\, IL. From June 2006 to June 2014\, Dr. Williamson held a tenure-track Assistant Professor position\, followed by a tenured Associate Professor position in the Department of Electrical and Computer Engineering\, at Concordia University\, in Montreal\, Canada. Dr. Williamson currently holds an Associate Professor position in the Department of Electrical\, Computer\, and Software Engineering\, at the University of Ontario-Institute of Technology (UOIT)\, in Oshawa\, Ontario\, Canada. Since July 2015\, Dr. Williamson also holds the prestigious title of NSERC Canada Research Chair in Electric Energy Storage Systems for Transportation Electrification. Dr. Williamson’s research interests include transportation electrification\, electric energy storage systems\, automotive power electronics\, and motor drives. Dr. Williamson is a Senior Member of the IEEE and a Distinguished Lecturer of the IEEE Vehicular Technology Society.
URL:https://www.ieeetoronto.ca/event/wireless-power-transfer-systems-current-issues-and-future-opportunities/
LOCATION:Room KHE 225\, Ryerson University
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20160919T110000
DTEND;TZID=America/Toronto:20160919T120000
DTSTAMP:20260712T205318
CREATED:20210430T002605Z
LAST-MODIFIED:20210430T003253Z
UID:10000071-1474282800-1474286400@www.ieeetoronto.ca
SUMMARY:Disaster Scene Reconstruction - Emergency Management Tool
DESCRIPTION:Monday September 19\, 2016 at 11:00 a.m. Dr. Alex Ferworn\, Associate Chair and Graduate Programs Director at Ryerson University\, will be presenting “Disaster Scene Reconstruction – Emergency Management Tool”. \nSpeaker: Dr. Alex Ferworn\nAssociate Chair and Graduate Programs Director\, Ryerson University\nDirector\, Program in Disaster and Emergency Management \nDay & Time: Monday\, September 19\, 2016\n11:00 a.m. – 12:00 p.m. \nLocation: Ryerson\, KHE 225 \nContact: Maryam Davoudpour \nOrganizer: WIE\, Magnetics\, Measurement/Instrumentation-Robotics\, Computer Science Department Ryerson University \nBiography: Prof. Ferworn received his PhD in Systems Design Engineering from the University of Waterloo\, his MSc in Computing and Information Science from the University of Guelph and his B.Tech in Applied Computer Science from Ryerson University\, where he is a faculty member in the Department of Computer Science\, Associate Chair and Graduate Programs Director. He is also Director of a number of Certificate programs including the Program in Disaster and Emergency Management. Ferworn is an adjunct faculty member in the Department of Computing and Software\, Faculty of Engineering at McMaster University. Prof. Ferworn has been collaborating with the USAR and CBRNe Response Team (UCRT) of the Ontario Provincial Police since 2005. He has worked extensively with USAR teams in Canada and the United States on a broad range of technology issues related to Computational Public Safety. He does not own a dog.
URL:https://www.ieeetoronto.ca/event/disaster-scene-reconstruction-emergency-management-tool/
LOCATION:Ryerson\, KHE 225
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20160912T112000
DTEND;TZID=America/Toronto:20160912T122000
DTSTAMP:20260712T205318
CREATED:20210430T002604Z
LAST-MODIFIED:20210430T003130Z
UID:10000009-1473679200-1473682800@www.ieeetoronto.ca
SUMMARY:Teaching and Learning Methods
DESCRIPTION:Monday September 12\, 2016 at 11:20 a.m. Dr. John Paul Fox\, will be presenting “Teaching and Learning Methods”. \nSpeaker: Dr. John Paul Fox\nDirector of the Academic Integrity Office\, Ryerson \nDay & Time: Monday\, September 12\, 2016\n11:20 a.m. – 12:00 p.m. \nLocation: Ryerson\, KHE 225 \nContact: Maryam Davoudpour \nOrganizer: WIE \nAbstract: Lesson planning can be a time consuming and needlessly stressful process. In this talk I will discuss strategies for efficiently preparing lesson plans. You will be presented with a framework for lesson planning which can be used to structure any type of lesson\, from a 10 minute pre-lab talk to a 3-hour lecture. Attendees are encouraged to think about an upcoming lesson that they will be teaching so that this framework can be applied. \nBiography: John Paul Fox is the Director of the Academic Integrity Office here at Ryerson. Prior to accepting this position\, John Paul worked in the Learning and Teaching Office (LTO) for six years\, as an educational developer and as its manager. During this time John Paul was responsible for offering professional development in teaching to Ryerson’s faculty\, TAs and GAs. He has an undergraduate degree in genetics from Trinity College Dublin\, an MSc in molecular evolution and a PhD in population genetics\, both from York University as well as a Masters in Public Police and Administration from Ryerson University. Finally\,John Paul is a fellow of SEDA UK.
URL:https://www.ieeetoronto.ca/event/teaching-and-learning-methods/
LOCATION:Room KHE 225\, Ryerson University
CATEGORIES:Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20160704T120000
DTEND;TZID=America/Toronto:20160704T130000
DTSTAMP:20260712T205318
CREATED:20210429T230403Z
LAST-MODIFIED:20210430T001643Z
UID:10000004-1467633600-1467637200@www.ieeetoronto.ca
SUMMARY:The Application of Optimization to Model Predictive Control
DESCRIPTION:July 4\, 2016 at 12:00 p.m. Dr. Ruth Milman\, Assistant Professor at UOIT\, will be presenting “The Application of Optimization to Model Predictive Control”. \nSpeaker: Dr. Ruth Milman\nAssistant Professor – Department of Electrical\, Computer and Software Engineering\nFaculty Applied Science and Engineering\, University of Ontario Institute of Technology \nDay & Time: Monday\, July 4\, 2016\n12:00 p.m. – 1:00 p.m. \nLocation: Room ENG 288\n245 Church St.\, Toronto\, ON\, M5B 2K3 \nContact: Dr. Maryam Davoudpour \nOrganizers: IEEE Women in Engineering (WIE)\, IEEE Magnetics Chapter\, IEEE Instrumentation & Measurement/Robotics & Automation Joint Chapter and Computer Science Department Ryerson University \nAbstract: Model predictive control (MPC) is the application of an optimal control scheme over a finite horizon. At each sample interval a cost function is minimized over a finite horizon and a resulting open loop controller is calculated. The control for the current sample interval is applied and the whole process is repeated at the next sample interval. By repeating the process at each sample interval\, the resulting control scheme\, which is technically open loop\, inherits the benefits of a closed loop controller. These include some stability and robustness properties. By nature\, MPC is computationally intensive and only makes sense when a there are constraints which must be enforced by the system. As would be expected\, adding constraints into the system even further intensifies the computational requirements. \nBy nature\, MPC is an optimal control strategy. If a true optimal control is computed when solving the minimization problem\, then the solution is independent of the choice of the optimizer. It is only when time constraints force the need for suboptimal controls to be used that the actual algorithm plays a role in the quality of the resulting controller. Despite (or because of) this\, the choice of optimization schemes plays a critical role in the real time application of MPC for a simple but important reason – the computational time it takes to solve for the optimal solution. MPC is a flexible framework which allows for control in the face of both linear or nonlinear systems\, and can be applied to systems with either hard or soft constraints. How each problem is set up is critical to the choice of optimizer. These choices can drastically impact the computational effort which is required to solve for the resulting controller. As such\, the choice and application of optimization schemes to MPC is of critical importance to the resulting performance of the systems. \nBiography: Dr. Ruth Milman is an Assistant Professor in the Department of Electrical\, Computer and Software Engineering with the Faculty of Applied Science and Engineering at the University of Ontario Institute of Technology. She has been with UOIT since June 2007\, where she works in the Department of Electrical and Software Engineering\, focusing in the field of control theory. Her research interests include optimization and computationally efficient algorithms for model predictive control as well as the application of both linear and nonlinear MPC to autonomous systems. She has worked on path planning for robotic applications in environments with both moving and stationary obstacles. She has worked extensively in the areas of nonlinear and optimal control theory and has developed algorithms for computation of the optimization problem that underlies Model Predictive control. Prior to coming to UOIT she did post-doctoral research at the University of Toronto from 2005 to 2007. \nRuth Milman obtained her PhD in 2004 from the Systems Control Group in the Department of Electrical and Computer Engineering at University of Toronto\, Canada. Her dissertation focused on improving the speed and computational efficiency of a Linear Model Predictive Controller. As part of this she developed a novel algorithm for solving the quadratic programming subproblem in MPC. She obtained her MASC in 1997 from the Systems Control Group in the University of Toronto and her BASc (Honours) in Computer Engineering in 1995 from the Faculty of Applied Science and Engineering at the University of Toronto.
URL:https://www.ieeetoronto.ca/event/the-application-of-optimization-to-model-predictive-control/
LOCATION:Room ENG 288\, 245 Church St.\, Toronto
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20160620T130000
DTEND;TZID=America/Toronto:20160620T140000
DTSTAMP:20260712T205318
CREATED:20210429T230403Z
LAST-MODIFIED:20210430T001449Z
UID:10000065-1466427600-1466431200@www.ieeetoronto.ca
SUMMARY:Optimization and Research: Applications\, Opportunities\, and Challenges
DESCRIPTION:June 20\, 2016 at 1:00 p.m. Dr. Shahryar Rahnamayan\, Associate Professor in the Department of Electrical\, Computer and Software Engineering Faculty of Engineering and Applied Science at UOIT\, will be presenting “Optimization and Research: Applications\, Opportunities\, and Challenges”. \nSpeaker: Dr. Shahryar Rahnamayan\nAssociate Professor\nDepartment of Electrical\, Computer and Software Engineering Faculty of Engineering and Applied Science\, UOIT \nDay & Time: Monday\, June 20\, 2016\n1:00 p.m. – 2:00 p.m. \nLocation: Room ENG 288\n245 Church St.\, Toronto\, ON\, M5B 2K3 \nOrganizer: IEEE Women in Engineering (WIE)\, IEEE Magnetics Chapter\, IEEE Instrumentation & Measurement/Robotics & Automation Joint Chapter and Computer Science Department Ryerson University \nContact: Dr. Maryam Davoudpour \nAbstract: In this research seminar\, the speaker will explain his recent optimization research work and accomplishments\, categorized in the following two main groups of contributions: theoretical/developmental and practical. The first group will cover his contributions in large-scale optimization\, opposition-based computation\, many-objective optimization\, image-based large-scale visualization and interaction\, incremental cooperative coevolution\, micro-differential evolution\, 3D visualization of many-objective Pareto-front\, preserving constraint handling\, decision making in high-dimensional objective space\, and multi-modal optimization. In the practical category\, the speaker will explain several real-world applications to demonstrate effectiveness of optimization in medical image processing\, renewable energy systems\, forensic science\, scheduling\, and wireless sensors network. This seminar will be beneficial for faculty and students who conduct ‘research in optimization’ or ‘optimization in research’. \nBiography: Dr. Shahryar Rahnamayan received his B.Sc. and M.S. degrees both with honors in software engineering. In 2007\, he received his Ph.D. degree in the field of evolutionary computation from Systems Design Engineering Department\, University of Waterloo. Inspired from opposition-based differential evolution algorithm (ODE)\, more than 450 papers have been published. Before joining to the faculty of engineering and applied science\, University of Ontario Institute of Technology (UOIT)\, Canada\, as a tenure-track faculty member\, he was a postdoctoral fellow at Simon Fraser University (SFU)\, Canada. He was granted tenure earlier and also was promoted to an associate professor position in 2013. His research includes evolutionary computation\, image processing\, machine learning\, and opposition-based soft computing. Dr. Rahnamayan was awarded the Ontario Graduate Scholarship (OGS)\, President’s Graduate Scholarship (PGS)\, NSERC’s Japan Society for the Promotion of Science (JSPS) Fellowship\, NSERC’s Industrial R&D Fellowship (IRDF)\, NSERC’s Visiting Fellowship in Canadian Government Laboratories (VF)\, and the Canadian Institute of Health Research (CIHR) Fellowship for two times. He has published more than 100 papers\, Dr. Rahnamayan has received several prestigious research grants\, such as\, NSERC Discovery Grant and also Applied Research and Commercialization Initiative Fund. He recently visited the Michigan State University (MSU) and BEACON Research Center for two years in order to conduct research on large-scale and multi-objective optimization and visualization.
URL:https://www.ieeetoronto.ca/event/optimization-and-research-applications-opportunities-and-challenges/
LOCATION:Room ENG 288 245 Church St.\, Toronto\, ON\, M5B 2K3
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20160531T113000
DTEND;TZID=America/Toronto:20160531T123000
DTSTAMP:20260712T205318
CREATED:20210429T230402Z
LAST-MODIFIED:20210430T001320Z
UID:10000016-1464694200-1464697800@www.ieeetoronto.ca
SUMMARY:Internet of Things\, building blocks\, challenges and research directions
DESCRIPTION:Tuesday May 31st\, 2016 at 11:30 a.m. Dr. Fatima Hussain will be presenting “Internet of Things\, building blocks\, challenges and research directions”. \nSpeaker: Dr. Fatima Hussain \nDay & Time: Tuesday\, May 31st\, 2016\n11:30 a.m. – 12:30 p.m. \nLocation: Room ENG 288\nComputer Science Department\, George Vari Centre for Computing and Engineering\, Ryerson University\n245 Church St.\, Toronto\, ON\, M5B 2K3 \nOrganizer: IEEE Women in Engineering (WIE)\, IEEE Magnetics Chapter\, IEEE Instrumentation & Measurement/Robotics & Automation Joint Chapter and Computer Science Department Ryerson University \nContact: Dr. Maryam Davoudpour \nAbstract: The Internet of Things (IoT) is a novel paradigm that is rapidly growing in modern wireless telecommunications. IoT means a world-wide network of interconnected objects uniquely addressable\, sustainable and enhance able. It is defined as integration of several technologies\, and communications solutions based on standard communication protocols. The main strength of the IoT idea is the high impact it will have on several aspects of everyday-life and behavior of potential users. This promising technology comes with great challenges and leads to numerous research directions for industry as well academia. \nBiography: Fatima Hussain received her PhD and MASc. degree in Electrical and Computer Engineering with specialization in “Wireless Communication” from Ryerson University\, Canada. She holds MEng. and BSc. in Electrical and Computer Engineering with specialization in “Controls System” and “Telecommunication Systems”\, respectively from University of Engineering and Technology Lahore\, Pakistan. She is acting as a reviewer for IEEE Access journal and IET Journal from couple of years. She is working as a post-doctoral fellow in NCART lab\, Ryerson University\, on a design and implementation of “Smart Parking System”.
URL:https://www.ieeetoronto.ca/event/internet-of-things-building-blocks-challenges-and-research-directions/
LOCATION:Room ENG288\, 245 Church Street\, Toronto\, ON\, Canada
CATEGORIES:Instrumentation & Measurement,Magnetics,Women in Engineering
END:VEVENT
END:VCALENDAR