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X-WR-CALNAME:Vision Conference 2026
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X-WR-CALDESC:Events for Vision Conference 2026
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DTSTART;TZID=America/Toronto:20261014T080400
DTEND;TZID=America/Toronto:20261014T090400
DTSTAMP:20260610T161742
CREATED:20260604T011937Z
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UID:10000024-1791965040-1791968640@vision-conference.ca
SUMMARY:Chemistry
DESCRIPTION:Experience a chemistry lab in a new and exciting way! In Laurier Brantford’s labs\, you’ll have the opportunity to gain hands-on experience performing a series of colorful and dynamic chemistry experiments. You’ll learn how to conduct a titration and explore how to affect chemical equilibrium using Le Chatelier’s Principle. \n  \nUna Adancis-Bistrivodic \nUna Adamcic-Bistrivoda has been a Lab Instructor and Lab Coordinator in the Faculty of Human and Social Sciences at Laurier Brantford for the past 12 years. Una is responsible for developing\, teaching\, and managing labs and tutorials for first-year Chemistry and Biology courses\, as well as upper-year Forensic Research Methods. Before joining Laurier Brantford\, she completed her PhD in Biomedical Sciences at the University of Guelph\, focusing on cancer research. She also taught Biology courses at Laurier’s Waterloo campus.
URL:https://vision-conference.ca/event/chemistry/
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/jpeg:https://vision-conference.ca/wp-content/uploads/2026/05/chemistry.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261014T080300
DTEND;TZID=America/Toronto:20261014T090300
DTSTAMP:20260610T161742
CREATED:20260604T011936Z
LAST-MODIFIED:20260604T012906Z
UID:10000036-1791964980-1791968580@vision-conference.ca
SUMMARY:Astro-Bubble
DESCRIPTION:The Astro-Bubble is a portable\, inflatable planetarium\, operated by the Waterloo Centre for Astrophysics. Step inside and explore the Universe! Inside our planetarium you’ll learn how to find the stars\, planets and galaxies in our sky\, how astronomers have been studying the night sky for thousands of years\, and about beautiful and strange objects in our Universe like nebulae and black holes. \nThe Astro Bubble workshop consists of a 30 minute Astro Bubble show and a 30 minute presentation\, with opportunities for Q&A in both. Both the Astro Bubble show and presentation are given by Postdoctoral Scholars and Graduate Students from the Waterloo Centre for Astrophysics
URL:https://vision-conference.ca/event/astro-bubble/
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/jpeg:https://vision-conference.ca/wp-content/uploads/2026/05/astrobubble.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261014T080200
DTEND;TZID=America/Toronto:20261014T090200
DTSTAMP:20260610T161742
CREATED:20260604T011935Z
LAST-MODIFIED:20260604T012905Z
UID:10000039-1791964920-1791968520@vision-conference.ca
SUMMARY:AR/VR Robotic
DESCRIPTION:Discover how Augmented Reality (AR) and Virtual Reality (VR) are transforming the future of robotics\, automation\, and engineering education. In this interactive workshop\, participants will explore how immersive technologies are being used to design\, simulate\, program\, and operate robotic systems in virtual environments before deploying them in the real world.\nUsing industrial robotics simulations\, VR headsets\, and AR-enabled applications\, participants will experience firsthand how engineers and technologists leverage digital twins\, virtual commissioning\, and cyber-physical manufacturing to improve productivity\, safety\, and innovation. Through engaging demonstrations and hands-on activities\, attendees will interact with robotic systems\, visualize automation processes\, and gain insight into the technologies driving Industry 4.0 and smart manufacturing.\nThe workshop is designed to provide an accessible introduction to modern robotics while showcasing how AR and VR technologies are creating new opportunities in engineering\, advanced manufacturing\, automation\, and workforce training. \nParticipants Will: \n\nExplore industrial and collaborative robotics through immersive AR and VR experiences.\nLearn how digital twins and virtual commissioning are used in modern manufacturing.\nVisualize and interact with robotic systems in virtual environments.\nUnderstand the role of cyber-physical manufacturing in Industry 4.0.\nDiscover career pathways in robotics\, automation\, engineering\, and smart manufacturing.\nExperience how AR and VR are revolutionizing engineering education and industrial training.\n\n  \nDr. Andy Alubaidy\, PhD\, P.Eng. \nDr. Andy Alubaidy is a Professor in the School of Applied Science and Engineering at Sheridan College and Program Coordinator of the Honours Bachelor of Engineering (Mechanical Engineering) program and the Electromechanical Engineering Technology/Technician programs. He specializes in robotics\, automation\, cyber-physical manufacturing\, smart manufacturing\, and engineering education. \nDr. Alubaidy is a certified instructor for ABB Robotics\, FANUC Robotics\, and Siemens Mechatronics Systems Certification Program (SMSCP) and has extensive experience developing innovative learning environments that integrate robotics\, automation\, and immersive technologies. He led the development of Sheridan’s award-winning Virtual Lab initiative\, which received the Minister of Colleges and Universities’ Award of Excellence and was recognized nationally for advancing engineering education through virtual and experiential learning. \nHis teaching and applied research activities focus on industrial robotics\, digital twins\, virtual commissioning\, machine vision\, Industry 4.0 technologies\, and the integration of AR and VR into engineering and advanced manufacturing education.
URL:https://vision-conference.ca/event/ar-vr-robotic/
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/jpeg:https://vision-conference.ca/wp-content/uploads/2026/05/ar-vr-robo.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261014T080100
DTEND;TZID=America/Toronto:20261014T090100
DTSTAMP:20260610T161742
CREATED:20260604T011934Z
LAST-MODIFIED:20260604T012903Z
UID:10000029-1791964860-1791968460@vision-conference.ca
SUMMARY:AI in Healthcare
DESCRIPTION:By end of this session attendees will: \n\nGain insight and knowledge into the ways AI is being used to innovate and create solutions in healthcare and use cases for future state investigational technology\nAcquire basic prompting skills in LLMs and experience role play as a primary care clinician using AI scribe.\nPrompt GENAI music platform to collaborate on a song and reflect on the humanistic aspects of AI and artistic expression – Explore parallels in Patient care and risk of dehumanizing care\nUnderstand the limitations of LLMs when being used in HC for diagnosis or clinical decisions\nExplore the use of LLMs for health literacy and understand the importance of bias or hallucinations in the outputs.\n\n  \nKeith Thompson \nDr. Thompson is a London Ontario based family physician\, graduate of the Schulich School of Medicine and Dentistry at Western University and awarded Fellowship Canadian College Family Practice in 2005. Chief Medical Officer for Nuralogix. \nHe is Adjunct Faculty Professor with the departments of Family Medicine and Associate Director of Research for the Institute for Earth and Space Exploration at Western University in London Ontario. He also serves at Western as Co-investigator virtual care studies\, and has collaborated both at Western University and with WONCA digital health to coauthor published articles and 2 text book chapters on Virtual care. \nHe is Board Certified Medical Affairs specialist. He is a current working member for now published IEEE standards for cuffless BP devices PAR 1708\, Working Group member for Standards Council of Canada ISO 81060 Mirror committee standards for BP measurement devices\, and former Digital health WG executive member World Congress of Family Doctors (WONCA). Currently Executive member Ontario Medical Association Section for General and Family Practice Digital health Working group. \n  \nDr. Joel Brown \nDr. Joel Brown\, MD\, is a family physician practicing in Ontario\, Canada\, with prior training in the United Kingdom and a global perspective shaped by his Jamaican heritage. He works in a rural setting where he focuses on delivering high-quality\, patient-centered care while navigating the realities and constraints of modern healthcare systems. \nHe serves as Vice President of the Black Physicians’ Association of Ontario (BPAO)\, where he contributes to leadership development\, advocacy\, and advancing equity within the medical profession. \nAlongside his clinical work\, Dr. Brown is a speaker\, educator\, and creative with a strong interest in the intersection of science\, technology\, and human experience. His work explores how emerging tools such as artificial intelligence can enhance clinical decision-making\, improve access to care\, and support more equitable health outcomes\, particularly in underserved communities. \n  \nProfessor Peggy O’Neil \nProfessor Peggy O’Neil teaches at Western University in the Faculty of Health Sciences in the Brescia School of Food & Nutritional Sciences in the areas of leadership\, philosophy\, law\, and aesthetics. She is an associate member of the Rotman Institute of Philosophy of Science where she contributes to the Human-AI relationships team focusing on human-centred technological advancement. Professor O’Neil is a member of the Western Centre for Bioethics for which she is developing a new program using art to explore the ethics of medical and biological research. Her teaching and research contribute to art and humanity in life sciences through the lenses of poetics\, aesthetics\, and humanistic education.
URL:https://vision-conference.ca/event/ai-in-healthcare/
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/jpeg:https://vision-conference.ca/wp-content/uploads/2026/05/anuna-magic-mirror.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260609T080000
DTEND;TZID=America/Toronto:20260609T170000
DTSTAMP:20260610T161742
CREATED:20260610T002137Z
LAST-MODIFIED:20260610T002233Z
UID:10000054-1780992000-1781024400@vision-conference.ca
SUMMARY:A Hands-On Introduction to Artificial Intelligence: How Machines Learn
DESCRIPTION:Artificial Intelligence (AI) powers many of the technologies we use every day\, from smartphones to self-driving cars. But how do machines actually learn? In this interactive workshop\, participants will explore the fundamentals of machine learning by building a simple AI system using a single-board computer and an accelerometer sensor. They will collect motion data\, train an AI model to recognize different movement patterns\, and test their system in real time. Through hands-on experimentation and guided coding activities\, participants will gain practical experience with sensors\, data collection\, machine learning\, and embedded systems while discovering how intelligent systems are created. \nDr. Farhang Sahba\, P.Eng.  \nFarhang is a professor of Electrical and Computer Engineering at Sheridan College. He received his BSc in Electrical Engineering from Isfahan University of Technology\, his MSc in Electrical Engineering from Toosi University of Technology\, and his PhD in Image and Signal Processing from the University of Waterloo. \nFarhang followed his education with a postdoctoral fellowship at University of Toronto\, and Ryerson University’s Signal and Information Processing Lab\, where he conducted a number of research projects in the fields of image and signal processing\, machine learning\, and fuzzy systems. \nPrior to joining Sheridan\, Farhang was a senior research engineer with Merge Healthcare working on the design and implementation of a computer-aided diagnosis engineering platform for magnetic resonance imaging systems. He also worked as a research scientist with Segasist Technologies\, where he carried out research on an innovative intelligent segmentation technology for image analysis systems. \nFarhang was part of the committee responsible for the development of Sheridan’s Electrical Engineering Bachelor’s Degree program. In addition\, he has worked as the technical lead for several applied research projects in Sheridan’s School of Mechanical and Electrical Engineering Technology. His main research areas are artificial intelligence\, machine learning\, computer vision\, and IoT-based 5G networks. \nFarhang is a member of the Professional Engineers Ontario (PEO) and a senior member of the Institute of Electrical and Electronics Engineers (IEEE). In addition\, he is a member of the IEEE Computational Intelligence Society\, IEEE Robotics and Automation Society\, and IEEE Signal Processing Society. He has acted as a reviewer for several conferences and journals and has more than 40 papers published in various journals\, conferences\, book chapters\, and technical reports. \nDr. Hooman Nabovati\, P.Eng. \nHooman Nabovati is a registered Professional Engineer in the Province of Ontario. He received his Ph.D. in Electrical Engineering in 2006. \nHooman’s teaching experience includes courses on analog and digital circuits\, electrical motors\, communication systems and circuits\, electronic fabrication\, and semiconductor devices. Hooman is committed to teaching excellence and is always looking to bring effective teaching strategies to the classroom. He is dedicated to providing a positive learning environment for all students. \nHooman has been working with multiple industry partners on design\, manufacturing\, and testing of digital telecommunication systems\, data acquisition and instrumentation\, RFID systems\, and measurement instruments. \nHooman is a member of Professional Engineers Ontario (PEO) and Institute of Electrical and Electronics Engineers (IEEE) and has published more than 40 papers in scientific journals and international conferences.
URL:https://vision-conference.ca/event/a-hands-on-introduction-to-artificial-intelligence-how-machines-learn/
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/png:https://vision-conference.ca/wp-content/uploads/2026/06/Celebrating-Artificial-Intelligence-Its-History-and-Evolution-Cisco-Blogs.png
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