Events

Multiplexed sensing platforms will be the key enablers of smart electronic systems of the future. Such platforms will require the integration of miniaturized sensor arrays at the system/chip level, using heterogeneous technologies. While we have made substantial progress in vision, tactile and auditory sensing applications, an equivalent of Moore's law is missing in biological and chemical sensing applications. With phenomenal advances in semiconductor nanotechnology and printed/flexible electronics, the stage is now set for a new wave of sensor systems to be equipped with massive sensory functions, specifically with biological and chemical sensor arrays. In this talk, I will present two case studies from our research: (i) Biosensor systems for point of care diagnostics : the story of managing the sensing of multiple analytes in blood and urine with an eventual goal to realize "Lab on Palm" (ii) Gas sensor systems for environmental monitoring, breath analysis and hazardous gas leakage detection, with an eventual goal to realize the "Electronic Nose" Speaker(s): Navakanta Bhat, ***CANCELED*** Agenda: In this talk, I will present two case studies from our research: (i) Biosensor systems for point of care diagnostics : the story of managing the sensing of multiple analytes in blood and urine with an eventual goal to realize "Lab on Palm" (ii) Gas sensor systems for environmental monitoring, breath analysis and hazardous gas leakage detection, with an eventual goal to realize the "Electronic Nose" Virtual: https://events.vtools.ieee.org/m/380387

Interested in tech, hands on experience, hackathons but don't know where to start? NewHacks is for you! NewHacks is a beginner-friendly hackathon catered towards university students across Canada with little to no previous hackathon experience. Students will be encouraged to learn by attending workshops and talking to industry mentors, getting hands-on with our selection of hardware, and creating a project in 24 hours to compete for prizes! Toronto, Ontario, Canada

OFFICERS' MEETING Virtual: https://events.vtools.ieee.org/m/380701

As a well recognized disruptive technology, visible light communication (VLC) delivers high data rates and improved security to be actively considered for many new indoor and outdoor applications in future wireless communication systems. Over the years, VLC system modeling, analysis and implementation have been an active research field enriched with multiple seminal developments reported in the literature. More recently, data-driven machine learning techniques have emerged to revolutionize conventional communication system design and optimization. In this talk, we will discuss how such machine learning techniques can be effectively applied for the design and optimization of VLC systems including examples taken from spatial modulation in VLC, simultaneous lightwave and power transfer (SLIPT) and intelligent reflective surface aided VLC systems. Speaker(s): Himal A. Suraweera, Virtual: https://events.vtools.ieee.org/m/376784

In this presentation, we will explore how supervised learning can be used for identifying the root cause of performance degradations observed in optical networks. Co-sponsored by: National Research Council, Canada. Optonique. Speaker(s): Prof. Christine Tremblay, Virtual: https://events.vtools.ieee.org/m/381272

A consulting career can have several advantages, including working in diverse teams and taking on different kinds of projects. IEEE has a vast array of independent consultants who ventured out part-time or full-time into the gig economy, and they want to share their knowledge and experience with you. So have your questions ready, and please join us for this one-hour jam session where two independent consultants will share their know-how and knowledge on how they landed their projects. Speaker(s): Soroush Rasti, Gursimran Sethi Virtual: https://events.vtools.ieee.org/m/378832

The adsorption and self–assembly of organic molecules at surfaces has recently been investigated extensively, both because of the fundamental interest and for prospective applications in nanoelectronics and organic electronics. It is now well established that molecule–molecule and molecule–substrate interactions can be tuned by appropriate choice of substrate material and symmetry. Upon molecular adsorption, surfaces typically do not behave as static templates, but often rearrange to accommodate different molecular species. We discuss recent experiments using Scanning Tunnelling Microscopy and complementary surface sensitive techniques, providing new insights into fundamental processes ranging from the formation of ordered patterns driven by non-covalent bonds to the realization of robust structured held together by covalent bonds. In particular, we will focus on recent advances in using the substrate as catalyst for surface confined polymerization reactions, emphasizing Ullmann coupling as key example. Speaker(s): Professor Federico Rosei, Agenda: The talk will begin at 2pm and conclude at 3pm, followed by a 10 minute Q&A session. Light refreshments will be provided. Room: OI 8170, Bldg: Ontario Institute for Studies in Education (OISE), 252 Bloor St W, Toronto, Ontario, Canada, M5S 1V6

Vehicle-to-everything (V2X) has developed rapidly over the past decades. In the imminent era of 6G communications, unprecedented advancements will reshape our technological landscape and redefine the boundaries of the digital experience. While the specific details of 6G-enabled V2X networks are still under exploration, there is a consensus that it will enable two main features: ubiquitous communications via satellite-terrestrial integrated networks and intelligent connections tailored for emerging applications, notably autonomous vehicles. In this talk, we will first discuss extended use cases and potential network architectures in 6G. We will then focus on one case study, AI-enabled connected autonomous driving to support one of the representative 6G use cases. The case study focuses on enhancing resource scheduling for timely and reliable edge computing in autonomous driving. We will highlight the indispensable role of AI in network management, aiming to provide seamless connectivity and meet diverse service demands in the 6G era. Speaker(s): Dr. Lian Zhao, Room: 358, Bldg: Podium Building (POD), Toronto Metropolitan University , 350 Victoria St. , Toronto, Ontario, Canada

The emerging low Earth orbit (LEO) mega-constellation networks, planned to be composed of thousands of satellites, have the potential to connect all through their global footprint and bridge the long-existing digital divide. This talk will focus on the communications and networking aspects of these mega-constellations and their integration with the terrestrial networks. The associated communication and networking problems will be investigated along with potential remedies such as the use of distributed massive MIMO and high altitude platform station (HAPS) systems. The talk will conclude with an overview of the open issues and future research directions. Speaker(s): Dr. Gunes Kurt, Room: 358, Bldg: Podium (POD) , Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario, Canada

Medical imaging is transforming the landscape of oncology by playing a critical role in the process of cancer detection and therapeutic approaches. Medical experts may visualize the internal architecture of the body with unmatched precision using modern technologies such as MRI, X-rays, CT scans, Ultrasound and PET scans. Imaging techniques in cancer identification allow for the early detection of aberrant tissue growth, assisting in the prompt diagnosis and characterization of various tumours. Medical imaging also aids in treatment planning by providing detailed information regarding the size, location, and nature of malignant lesions. The introduction of machine learning in medical imaging has been a transformational force, as it changes how healthcare workers evaluate and interpret complex data. Deep learning, specifically, has proven critical in tasks such as image segmentation, classification, and detection, considerably improving diagnostic accuracy. Deep learning algorithms, particularly convolutional neural networks (CNNs), excel at learning extensive patterns and characteristics from large datasets, allowing them to identify subtle abnormalities in medical images that the human eye may not pick up on. This technology has considerably increased the speed and precision of diagnostic processes, enabling earlier and more precise diagnosis of diseases, namely cancer. Deep learning integration in various regions of medical imaging represents a paradigm shift, enabling innovations with the potential to reshape the healthcare field, leading to more efficient and effective patient care in the long run, as will be further discussed. Speaker(s): Maeashah, Room: CAR 09, Bldg: The Carlton Cinema (CAR) , 20 Carlton Street, Toronto, Ontario, Canada

Officers' Meeting Virtual: https://events.vtools.ieee.org/m/386126

In this workshop, you will: - Learn more about how to apply for senior and fellow ranks within IEEE - Hear from IEEE award winners on how to create a successful application - Network with representatives from Regions 1, 7 and 8 Virtual: https://events.vtools.ieee.org/m/387341