“Inspiro y Creo: Historias de 36 Mujeres, por un mundo con más niñas en ciencia, tecnología, ingeniería y matemática” y el libro “Construyendo los Emprendedores STEM del Futuro”, con contenido para docentes y escolares, buscan inspirar a los lectores a crear narrativas para compartir con otros, ya sea grandes o pequeños. Panamá, Panama, Panama, Virtual: …

Leaders have the opportunity to work with some very talented employees. And some of those talented employees might be prima donnas. How can you lead teams with highly gifted people to deliver game-changing results (or even just plain awesome results)? In this fast-paced talk, you'll learn why "the difference between not-so-great leaders and great leaders …

Abstract: Mobile computing, specifically cell phones, has changed the way we communicate and define relationships between devices, data and users. We are seeing the restructuring of the digital economy as relationships between businesses, users, devices and data blend together on the edge to improve operations and service delivery. This presentation explores the issues stopping these …

Women in Engineering read 6 books a year. Each title is given a two-month period in which to complete the manuscript. The WIE members meet online monthly to discuss and enjoy each other's perspectives. This book club event will be in collaboration with the Women Who Code Book Club. Co-sponsored by: Heidi DeGarmo Agenda: Please …

IEEE WIE Winnipeg, in collaboration with University of Manitoba's ECE Graduate Student Association, present an online Python workshop for beginners. The workshop will cover: - Introduction to Python, Jupyter IDE and Hello World - Variables, basic math and data structures - Conditionals and loops - Functions and classes The two-part workshop will take place from …

Current robotic sensing is mainly visual, which is useful up until the point of contact. To understand how an object is being gripped, tactile feedback is needed. Human grasp is gentle yet firm, with tactile touch feedback. Ras Labs makes Synthetic Muscle™, a class of electroactive polymer (EAP) based materials and actuators that sense pressure …

Learn how clinical engineering and control engineering can be applied to solve clinical problems in the pharmacokinetics and pharmacodynamics area. Getting to know the attitude of the speaker about why and how a medical doctor pursues a PhD in Electrical Engineering and how this interdisciplinary helps her to improve the patient's outcome. Co-sponsored by: University …

In this workshop, we first provide a brief review of probability theory making sure that attendees understand probability models and applications. Later in this workshop, we will discuss basic probability models and their implementation in python, how to deal with various aspects of conditional probability like total probability theorem, conditional independence, Bayes Rule, etc. Then, …

With the recent chaos that the Covid19 pandemic has spread across the world, there is a significant impact on the work culture across the world. In some countries, working from home is a norm for certain industries while others are jumping on the bandwagon if not, they will be left behind. Females specifically have faced …

Join us for a Power Systems Networking Event hosted by (https://www.linkedin.com/company/wie-winnipeg), (https://cigre-canada.org/ngn-next-generation-network/) and IEEE IAS/PES SBC University of Manitoba. The event will feature a panel discussion on the theme of Transitions: from university to industry, within the industry and back to school. - Hear from the panelists about their experiences - Participate in mini networking …

Near-field scanning optical microscopy (NSOM) has become one of the most crucial and powerful techniques to characterize the chemical, physical, and biochemical properties of materials with nanometer-scale resolution in real-time. A key element for any NSOM systems that combine optical spectroscopy with scanning probe microscopy is the actual probe itself. An ideal NSOM probe provides …

This workshop will cover an example project on Bayes Classifier, multiple random variables, and estimation. We will learn the implementation of multivariate Gaussian distribution, classification and regression problems in Python. Later we will see that how to define parametric distribution in python and will further explore estimation concepts like maximum likelihood ratio, maximum posteriori classification, …