Webinar: Inductive Bias in Deep Learning: From Structure to Training

Date: Wed., Apr 20th 2022, 03:00 PM to 04:00 PM (MDT)

Presented by: Dr. Yani Ioannou, Assistant Professor, University of Calgary

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Abstract: Machine learning requires assumptions and data, with the assumptions based on domain knowledge. With the exponential increase in dataset set and computation we’ve been able to reduce the domain expertise and inductive bias we integrate in computer vision models, from manually designed features such as SIFT, to learning representations with deep learning. Recently this approach has been pushed even further, with Convolutional Neural Networks (CNNs), integrating strong inductive bias in their structure, being replaced with Vision Transformers (ViT), or even fully-connected neural networks with alternative training regimes. In this talk, Dr. Yanni Ioannou, Assistant Professor at the University of Calgary, will discuss the current limits of this approach, and the need for more domain-agnostic learning.

Sponsored locally by the IEEE Southern Alberta Section (SAS) Computer Society (C16)

Webinar: AI in Power Systems: Working Towards a Smarter Grid

Date: Mon., Mar 28th 2022, 06:00 PM to 07:00 PM (MDT)

Presented by: Leanne Dawson, Graduate Student, University of Calgary

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Abstract: Join us to learn, from Leanne Dawson, how Artificial Intelligence & Machine Learning is used to improve the planning and operation of electrical records. The talk will also cover one case study of how weather data and ML techniques can be used to increase the capacity of the existing electrical grid.

Sponsored locally by the IEEE Southern Alberta Section (SAS) University of Calgary, Student Branch

Workshop: IEEE & IAS Electrical Safety, Technical, Maintenance, and Projects (ESTMP) Workshop, Edmonton, Alberta, Canada

Date: Sun., Mar 20th, 2022 to Wed., Mar 23rd, 2022

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The IEEE Industry Applications Society (IAS), ESTMP Workshop provides a forum for exchanging and advancing industry knowledge in the areas of electrical safety, engineering, project optimization, maintenance and reliability of electrical systems. The Workshop is designed to share new and innovative concepts, best practices and lessons learned that deliver high value and stimulate innovation.

FYI: The ESTMP 2022 Early Bird discount registration deadline, on Mon Feb 28th, 2022, has passed.

IEEE ESTMP 2022 (Edmonton) Home Page

Webinar: On-Chip Antennas: The Last Barrier to True RF System-on-Chip

Date: Thu., Mar 17th 2022, 10:00 AM to 11:15 AM (MDT)

Presented by: Prof. Atif Shamim, is associated with the Electrical and Computer Engineering Program at KAUST, where he is currently an Associate Professor and Principal Investigator of the IMPACT Lab. (KAUST = King Abdullah University of Science and Technology, which is a private research university located in Thuwal, Saudi Arabia)

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Abstract: Antennas are an integral part of wireless communication devices and traditionally have remained off the Integrated Circuits (ICs which are also commonly known as chips) resulting in large-sized modules. In the last decade, the increased level of integration provided by silicon technologies and emerging applications at millimeter-wave frequencies has helped to achieve true System-on-Chip solutions bringing the antennas on the chip. This is because antenna sizes at these frequencies become small enough for practical on-chip realization. Though, there are a number of benefits of putting antennas on-chip, such as monolithic integration resulting in compact systems, robustness due to the absence of bond wires or other connection mechanisms between the antenna and the circuits, lower cost due to mass manufacturing in standard CMOS processes, etc. However, there are a number of challenges to overcome, for instance dealing with silicon substrate high conductivity and permittivity (resulting in poor radiation efficiency), metal stack-up and layout restrictions, and on-chip characterization through delicate probes, etc. Furthermore, the co-design of circuits and antenna which sometimes have contradicting requirements needs knowledge of both domains. This talk aims to discuss the above challenges in detail as well as the proposed solutions. In particular, many design examples will be shown for the gain and radiation efficiency enhancement of on-chip antennas. The talk will conclude with the upcoming trends in the field of on-chip antennas.

This virtual event is sponsored by the IEEE AP Society Distinguished Lecturer Program
Sponsored locally by the IEEE Southern Alberta Section (SAS). Joint AP/MTT/COM Technical Chapter

Webinar: Power System Grounding and Bonding

Date: Thu., Mar 10th 2022, 06:00 PM to 07:30 PM (MST)

Presented by: Dr. Ali Moshref, Lead Power Systems Engineer at BBA, Vancouver, BC, Canada.

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Abstract: Grounding and bonding techniques are of the upmost importance in electrical system performance and overall cost. But above all, it plays an essential role in personnel safety and equipment protection. In this regard, engineers should have a good understanding of grounding and bonding issues and practical solutions to the most common problems. Participants will gain a general understanding of grounding and bonding methods, common issues and practical solutions:

Understand the basic principles of grounding and bonding of electrical systems and equipment
Know the applicable standards and design methods
Know how to measure and improve an existing grounding and bonding system
Apply sound grounding and bonding techniques in designing new installations.

This event is jointly sponsored by the IEEE:
Northern Canada Section (NCS), Jt. PE31/IA34 Chapter
Southern Alberta Section (SAS), Jt. PE31/IA34 Chapter
and co-sponsored by BBA.

Webinar: Predictive Energy Management of Grid-Interactive Efficient Buildings

Date: Tue., Mar 08th 2022, 12:00 PM to 01:00 PM (MST)

Presented by: Alexandre Pavlovski, PhD, P. Eng. President and CEO, Green Power Labs Inc.

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The discussion is focused on the key connected technology aspects of Grid-Interactive Efficient Buildings (GEB) – the buildings optimizing in real time their heating, ventilation and air conditioning while actively using distributed energy resources like solar and storage to enable load flexibility and ancillary grid services as well as address occupant needs and preferences, and achieve energy use and cost reduction and de-carbonization.

Dr. Pavlovski will share Green Power Labs’ experiences in clean technology development related to weather-to-energy predictive analytics, predictive building control and predictive grid control for energy management of GEBs.

Webinar: RF Power Amplification Characterization For Design and Performance Optimization

Date: Wed., Jan 26th 2022, 10:00 AM to 11:00 AM (MST)

Presented by: Dr. Souheil Ben Smida of Heriot-Watt University

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The design of RF PAs is a well-researched subject. There is a significant amount of contributions that range from active device manufacturing and modelling to the optimization of complete transmitter systems that require digital and analogue engineering skills.

This talk will cover the very fundamental principles of a simple PA design which are essential to understanding, in order to be able to perform research and innovate in this field. Then, some PA architectures that perform in an efficient manner will be discussed and the methodology to optimize them will be explained in a simplified way. Finally, the talk will cover a couple linearization techniques to compensate for PAs distortions and the challenges that an engineer/researcher would face to tackle the problem.

Webinar: Neural Interfaces for Controlling Finger Movements

Date: Mon., Jan 17th, 2022, 06:00 PM to 07:00 PM (MST)

Presented by: Cynthia A. Chestek, PhD. Associate Professor of Biomedical Engineering, Electrical Engineering, Neuroscience and Robotics, University of Michigan, Ann Arbor

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Michigan Engineering, Chestek Lab

Cynthia A. Chestek received the B.S. and M.S. degrees in electrical engineering from Case Western Reserve University in 2005 and the Ph.D. degree in electrical engineering from Stanford University in 2010. She is now an associate professor of Biomedical Engineering at the University of Michigan, Ann Arbor, MI, where she joined the faculty in 2012. She runs the Cortical Neural Prosthetics Lab, which focuses on brain and nerve control of finger movements as well as to high-density carbon fiber electrode arrays. She is the author of 53 full-length scientific articles. Her research interests include high-density interfaces to the nervous system for the control of multiple degree of freedom hand and finger movements.

Abstract: Brain machine interfaces or neural prosthetics have the potential to restore movement to people with paralysis or amputation, bridging gaps in the nervous system with an artificial device. Microelectrode arrays can record from hundreds of individual neurons in motor cortex, and machine learning can be used to generate useful control signals from this neural activity. Performance can already surpass the current state of the art in assistive technology in terms of controlling the endpoint of computer cursors or prosthetic hands. The natural next step in this progression is to control more complex movements at the level of individual fingers. Our lab has approached this problem in three different ways. For people with upper limb amputation, we acquire signals from individual peripheral nerve branches using small muscle grafts to amplify the signal. Human study participants have recently been able to control individual fingers online using indwelling EMG electrodes within these grafts. For spinal cord injury, where no peripheral signals are available, we implant Utah arrays into finger areas of motor cortex, and have successfully decoded flexion and extension in multiple fingers simultaneously. Decoding “spiking band” activity at much lower sampling rates, we recently showed that power consumption of an implantable device could be reduced by an order of magnitude compared to existing broadband approaches, and fit within the specification of existing systems for upper limb functional electrical stimulation. Finally, finger control is ultimately limited by the number of independent electrodes that can be placed within cortex or the nerves, and this is in turn limited by the extent of glial scarring surrounding an electrode. Therefore, we developed an electrode array based on 8 um carbon fibers, no bigger than the neurons themselves to enable chronic recording of single units with minimal scarring. The long-term goal of this work is to make neural interfaces for the restoration of hand movement a clinical reality for everyone who has lost the use of their hands.

Webinar: New Generation of Organic Photovoltaic (OPV): Light Energy Harvesting and Other Applications

Date: Jan 11th 2022, 11:00 AM to 12:00 PM (MST)

Presented by: John Fiske , Business Development Manager, ASCA

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Today, the IOT market is booming, which leads to increase use of batteries. The consequences: a strong environmental impact and high maintenance costs. To meet this challenge, we produce high potential ASCA solar solutions in the field of Energy Harvesting.

After an overview of the OPV technology and characteristics, we will have a look at the common use cases for OPV in IoT applications, and then present other relevant applications in areas such as buildings or mobility.

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