• Introduction to Robotics Class 4

    Humber North Campus, J Building

    Students will learn the basic robot building blocks through hands on examples. By the end of the lesson students will precisely control a motor through Arduino code. The flow of information and signals will be examined. Students should read online tutorials on: 1. How to control a servo motor via Arduino 2. How a rotary encoder sensor works and how to use them via Arduino. Date & Time: Monday June 18th, 2018 3:30 p.m. Organizers: IEEE Toronto WIE, IEEE Toronto Robotics Chapter, IEEE Humber Student Affinity Group Location: Humber North Campus, J Building For information, please contact: Dr. Maryam Davoudpour

  • Introduction to Robotics Class 5

    Humber North Campus, J Building

    Students will learn the basic robot building blocks through hands on examples. By the end of the lesson students will precisely control a motor through Arduino code. The flow of information and signals will be examined. Students should read online tutorials on: 1. How to control a servo motor via Arduino 2. How a rotary encoder sensor works and how to use them via Arduino. Organizers: IEEE Toronto WIE, IEEE Toronto Robotics Chapter, IEEE Humber Student Affinity Group Date & Time: Monday June 25th, 2018 3:30 p.m. Location: Humber North Campus, J Building For information, please contact: Dr. Maryam Davoudpour

  • Motor Control with Arduino

    Prototype Lab (J232 Humber College North Campus)

    -Introduction -Basic information about DC motor, stepper motor and servo motor -How to make them run (ON/OFF) -How to control speed * Basic information about PID control (I will not make the whole calculation but still I want to mention about the idea to show where it comes from) -How to control direction – How and where can we use them Speaker: Seda Erturk Date & Time: Tuesday July 10th, 2018 5:00 p.m. – 6:00 p.m. Organizers: IEEE Toronto WIE, IEEE Toronto Robotics Chapter, IEEE Humber Student Affinity Group Location: Prototype Lab (J232 Humber College North Campus) For information, please contact: Dr. Maryam Davoudpour

  • Arduino Microcontroller Programming

    Humber College North Campus, J Building

    The workshop is to continue learning Ardunio microcontroller programming, a way to get the knowledge about microcontrollers. This involves learning hardware component and software component. In this workshop, we are going to introduce Pulse with Modulation concept and program Arduino to see it. Introducing 7 segment LED ( common cathode and anode) and going through wiring and programming. Date & Time: Monday July 16th, 2018 7:30 p.m. - 9:00 p.m. Organizers: IEEE Toronto WIE, IEEE Toronto Instrumentation Measurement - Robotics Automation Chapter, IEEE Humber Student Affinity Group Location: Humber North Campus, J Building For information, please contact: Zahraa Khalil

  • Arduino Microcontroller Programming

    Humber North Campus, J Building

    The workshop is to continue learning Ardunio microcontroller programming. In this workshop, continue the discussion about 7 segment LED , learning about Shift register and the application with Arduino board and keypad integration. The workshop involves hardware and software. Date & Time: Monday July 23rd, 2018 6:30 p.m. – 7:30 p.m. Organizers: IEEE Toronto WIE, IEEE Toronto Instrumentation Measurement – Robotics Automation Chapter, IEEE Humber Student Affinity Group Location: Humber North Campus, J Building For information, please contact: Zahraa Khalil

  • Iguana Interface Engine, A day in the life of an integration engineer

    Centennial College, Progress Campus, Room A3-15

    Iguana interface engine allows integration with EHRs and other healthcare applications. Several EHRs systems can be connected via Iguana: Epic, Allscrips, Meditech, athenahealth, Cerner, etc. Iguana can process any data format and supports all protocols. Date & Time: Friday, October 12, 2018 at 10:30 a.m. – 11:30 a.m. Speakers: Amandeep Aujla, Integration Engineer at iNTERFACEWARE Location: Centennial College, Progress Campus, Room A3-15 Organizer: Education Committee, IEEE Toronto Section Contact: Dr. Maryam Davoudpour

  • Surgical Robots: Innovation, Opportunities, Challenges

    Autodesk Toronto, 661 University Avenue Toronto, ON M5G 1M1

    Wednesday, October 17th 2018, the GYBO Robotics Network will be hosting a symposium “Surgical Robots: Innovation, Opportunities, Challenges”. Day & Time: Wednesday October 17th, 2018 2:00 p.m. ‐ 5:00 p.m. Organizers: GYBO Robotics Network, IEEE Toronto Women in Engineering, IEEE Toronto Instrumentation & Measurement – Robotics & Automation Chapter, Autodesk, Synaptive Location: Autodesk Toronto 661 University Avenue Toronto, ON M5G 1M1 RVSP: https://www.eventbrite.com/e/surgical-robots-innovation-opportunities-challenges-registration-50073521250?discount=IEEEWIE Description: Canada is home to numerous initiatives in surgical robotics technologies including the commercialized work of Synaptive Medical, the research on KidsArm at Sick Kids and investment in innovation centres such as the CSTAR research group. With its world-leading hubs in health research and innovation, Canada has a unique opportunity to combine key assets for innovation leadership; a highly concentrated health innovation cluster, engineering and technical talent to create the solutions of the future, and a single-payer system to support their larger scale adoption. The symposium will explore home-grown Canadian innovations, invite technology users and adopters to highlight what opportunities exist for these technologies, and host a discussion on the challenges in bringing these technologies to market, including their validation, adoption, policy innovation and how they will transform the healthcare system and practice. Agenda: 2:00 pm Networking 2:15 pm Surgical Robotic Technology Innovation in Canada – Technical Talks – Leila Kheradpir​, M.Sc., P.Eng, Director, Hardware Engineering, Synaptive Medical – Tim Fielding, Medical Product Development Manager, MDA – Thomas Looi, Program Director, Centre for Image Guided Innovation and Therapeutic Intervention, Hospital for Sick Children – Rajni Patel, Director of Engineering, Canadian Surgical Technologies and Advanced Robotics and Canada Research Chair in Advanced Robotics and Control, Western University 3:20 pm Surgical Robots: Needs, Opportunities and Gaps – User Talks – Dr. Taymaa May, Gynaecologist, Oncologist, and Surgical Scientist, UHN Princess Margaret Hospital, Assistant Professor, University of Toronto 3:50 pm Networking 4:10 pm Panel Discussion – Cameron Piron, CoFounder and Member of the Board, Synaptive Medical – Tim Reedman, Director, Commercial Systems, MDA Robotics – Rajni Patel, Director of Engineering, Canadian Surgical Technologies and Advanced Robotics and Canada Research Chair in Advanced Robotics and Control, Western University – Leila Kheradpir​, M.Sc., P.Eng, Director, Hardware Engineering, Synaptive Medical 4:50 pm Closing Remarks 5:00 pm Networking

  • Data Mining and Machine Learning with Application to Medical Data

    TRI-UC, Basement Lecture theatre 550 University Ave., Toronto, M5G 2A2

    Wednesday July 17th, 2019 at 12:15 p.m. Prof. Steven Wang, Professor in Statistics at York University, will be presenting “Data Mining and Machine Learning with Application to Medical Data”. Day & Time: Wednesday July 17th, 2019 12:15 p.m. ‐ 1:15 p.m. Speaker: Prof. Steven Wang Professor in Statistics Department of Mathematics and Statistics York University Organizers: IEEE Toronto Robotics, IEEE Toronto WIE, EMB, UHN Location: TRI-UC, Basement Lecture theatre 550 University Ave., Toronto, M5G 2A2 GoToMeeting: https://global.gotomeeting.com/join/435099981 Contact: Prof. Azadeh Yadollahi Abstract: In this talk, we will discuss some applications of data mining and machine learning to medical data. We will discuss a variety of topics: genetic analysis, signal processing method for ECG and EEG, personalized medicine, autoimmune disease and human microbiome analysis. We will also share our experience on data including issues related to data cleaning and missing values. Biography: Dr. Steven Wang is a professor in Statistics at the Department of Mathematics and Statistics. He received his Ph.D. in Statistics from the University of British Columbia in 2001 and did one year Postdoc on Data Mining at the Pacific Institute of Mathematical Sciences. He joined York University in 2002 and currently a full professor in Statistics. His research included statistical theory, data mining, optimization and machine learning. With his co-inventors, he has applied a Canadian and US patent for deep learning method. In the past 10 years, his research is focused on machine learning and medical data. Poster: See Poster

  • Wireless Positioning and Sensing Network (WPSN™) for Hyper-Accurate Indoor & Outdoor Location Tracking System with Applications in the Critical and Massive IoT

    Progress Campus 941 Progress Ave, Scarborough, ON M1G 3T8 Room L1-12

    Tuesday October 8th, 2019 at 3:00 p.m. Peyman Moeini, B. Eng., MASc, PMP, P.Eng., will be presenting “Wireless Positioning and Sensing Network (WPSN™) for Hyper-Accurate Indoor & Outdoor Location Tracking System with Applications in the Critical and Massive IoT”. Day & Time: Tuesday, October 8, 2019 3:00 p.m. ‐ 4:00 p.m. Speaker: Peyman Moeini, B. Eng., MASc, PMP, P.Eng. Founder and CEO of Peytec Organizers: IEEE Toronto Instrumentation & Measurement Chapter, Women in Engineering Location: Progress Campus 941 Progress Ave, Scarborough, ON M1G 3T8 Room L1-12 Contact: Dr. Maryam Davoudpour Abstract: Wireless Sensor Networks (WSN’s) are the building blocks of Internet-of-Things (IoT) and Industrial IoT in the physical layer; however, they lack a fundamental aspect; WSN’s are not designed to be located. There has been several research papers published that addresses the addition of localization capability in various Wireless Sensor Networks such as Zigbee, BLE’s, LoRa modules, and NB-IoT. In virtually all of the mentioned networks, by adding the localization capability other network and tags advantages such as latency, battery life, scalability, and reliability will be negatively affected; in addition, the localization accuracy obtained would vary significantly depending on the sample rate and method of localization. Most localization methodologies used to locate the position of a moving tag with the mentioned WSN’s utilize Received Signal Strength (RSSI) which is a range free methodology which often has poor localization accuracy and it is not repeatable nor reliable. To address this problem a groundbreaking Wireless Positioning and Sensing Network (WPSN™) is designed developed where not only a localization accuracy of 10 cm is maintained but also latency, reliability, scalability, and battery life of the tags are not sacrificed to maintain and sustain the 10 cm localization accuracy. Biography: Peyman Moeini, B. Eng., MASc, PMP, P.Eng., is an entrepreneur engineer who has launched several successful Internet of Things (IoT) & Artificial Intelligence (AI) products in various fields such as agriculture, manufacturing, logistics, freight, retail, and mining. He has won more than 30 innovation and entrepreneurship awards in the IoT&AI fields. Peyman has extensive knowledge and experience in the IoT&AI spaces. Through his career, Peyman has developed an AI algorithm that made the time efficiency of software 500 times faster for the exact same results! He holds several patents in this space and is the founder and CEO of Peytec, a Smart Industrial IoT&AI company that builds and sells hyper-accurate “Indoor GPS” and Sensing Systems. Through his initiatives, Peyman is on a mission to help make Canada be the global leader in IoT&AI space.

  • SWE Speaks November 2019: A Journey of Successful Women’s Leadership

    245 Church St Toronto, Ontario Canada M5B 1Z4

    Wednesday November 13th, 2019 at 5:30 p.m. SWE Speaks will feature Tracy Holmes, P.Eng., President of Jenike & Johanson Ltd, a globally respected Bulk Solids Handling Consulting Engineering firm. Day & Time: Wednesday November 13th, 2019 5:30 p.m. ‐ 7:50 p.m. Speaker: Tracy Holmes, P.Eng. President of Jenike & Johanson Ltd Organizers: SWE, IEEE Toronto (WIE, Measurement/Instrumentation-Robotics), Computer Science Department of Ryerson University Location: 245 Church St Toronto, Ontario Canada M5B 1Z4 Building: George Vari Engineering and Computing Centre Room Number: ENG 288 Register: https://events.vtools.ieee.org/m/209036 Contact: Ayda Naserialiabadi Abstract: Are you looking around for female mentors and leaders to inspire your career? Are you excited to talk to women in engineering about their career paths? Our next SWE Speaks on November 13th features a Tracy Holmes, P.Eng., President of Jenike & Johanson Ltd, a globally respected Bulk Solids Handling Consulting Engineering firm. Agenda: 5:30 pm – registration 6:00 pm – speaker and Q&A 7:00 pm – networking All Engineers, EITs, P.Geo’s, professionals in engineering-related fields (that includes you technicians, software folks, GIS specialists, etc!) and new grads are welcome. We welcome people of all genders and supporters of women in engineering fields. Come make new connections and renew old ones. SWE Toronto is pleased to be co-hosting the evening with IEEE WIE. SWE Toronto and IEEE Women in Engineering help our members develop and reach their career goals through learning about others’ journeys and connecting our membership together. SWE Toronto’s mission statement is to support and contribute to the continual professional success of women in engineering. IEEE Women in Engineering’s mission statement is to facilitate the recruitment and retention of women in technical disciplines globally. Biography: Tracy has consulted to a wide spectrum of clients in Canada and overseas. She has published numerous papers and lectures frequently on the storage and flow of bulk solids across Canada. Tracy received her Bachelor of Applied Science in Civil Engineering from University of Waterloo in Canada.

  • Introduction to NLP for Classification Task – Session 1

    Recorded Material: Video: https://drive.google.com/file/d/1gBUK_NtU3kSNblsGaYouLHyfDHlxr1tt/view?usp=sharing PowerPoint: 1-Intro to Python, Data Science Libraries, and Pytorch On Wednesday, July 8, 2020 at 6:00 p.m., IEEE Toronto WIE and Computational Intelligence Society will be hosting “Introduction to Natural Language Processing (NLP) for Classification Task – Session 1”. Day & Time: Wednesday, July 8, 2020 6:00 p.m. ‐ 7:30 p.m. Organizers: IEEE Toronto WIE, Computational Intelligence Society Location: Virtual – Zoom Contact: Ayda Naserialiabadi, Younes Sadat Nejad Abstract: Introduction to Natural Language Processing (NLP) for Classification Task is a series of workshops hosted by IEEE Toronto Section, WIE, Computational Intelligence Society, Instrumentation Measurement/Robotics Automation Chapter and Ryerson Advanced AI lab. Our main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks. In session 1, we will be covering the introduction to Python, Data Science Libraries and Pytorch. Register: Please visit https://events.vtools.ieee.org/m/233944 or https://events.vtools.ieee.org/m/233942 for more details and to register.

  • Introduction to NLP for Classification Task – Session 2

    Online via Zoom

    Recorded Material: Video: https://drive.google.com/file/d/1gBUK_NtU3kSNblsGaYouLHyfDHlxr1tt/view PowerPoint: 2.IntroductiontoNLP,Kagle On Wednesday, July 15, 2020 at 6:00 p.m., IEEE Toronto WIE and Computational Intelligence Society will be hosting “Introduction to Natural Language Processing (NLP) for Classification Task – Session 2”. Day & Time: Wednesday, July 15, 2020 6:00 p.m. ‐ 8:00 p.m. Organizers: IEEE Toronto WIE, Computational Intelligence Society Location: Virtual – Zoom Contact: Ayda Naserialiabadi, Younes Sadat Nejad Abstract: Introduction to Natural Language Processing (NLP) for Classification Task is a series of workshops hosted by IEEE Toronto Section, WIE, Computational Intelligence Society, Instrumentation Measurement/Robotics Automation Chapter and Ryerson Advanced AI lab. Our main goal is to get started on NLP classification tasks for competition and explore duplicate question detection and sentiment analysis tasks. In the second session, we will introduce the concept of deep learning, and then specifically focus on Natural Language Process. We will also introduce Kaggle Account as an environment for python coding. Register: Please visit https://events.vtools.ieee.org/m/235444 or https://events.vtools.ieee.org/m/235447 for more details and to register.