Louvere Walker-Hannon
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Application Engineering Senior Team Lead
MathWorks |
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Louvere is a MathWorks Application Engineering Senior Team Lead, who provides technical guidance and strategic direction to a team of Application Engineers and customers. She has a bachelor’s degree in Biomedical Engineering and a master’s degree in Geographic Information Technology with a specialization in Remote Sensing. Based on her fields of study, she provides strategic direction and technical guidance to team members and customers regarding the following topics image processing, computer vision, machine learning, deep learning, geospatial analysis, data analytics, and data science. Louvere has worked in three different engineering roles throughout her 20 plus year career while at MathWorks. A prominent theme in her career is communication of technical concepts to various audiences and being involved with STEM education.
She was also a Program Presenter, in this role she was the lead educator of STEM topics for Cahners ComputerPlace within the Boston Museum of Science. |
Louvere has presented and continues to present at several STEM related conferences on various topics. Louvere has presented at the Grace Hopper Celebration, WiDS, American Meteorological Society, American Association of Geographers (AAG), the International Conference on Machine Learning (ICML), Neural Information Processing Systems (NeurIPS) Conference, and other organizations. She is an active STEM advocate.
Louvere volunteers with Black Girls CODE, the National Society of Black Engineers (NSBE), the Society of Women Engineers (SWE), and WiDS. She is a Curriculum Lead for the Boston Chapter of Black Girls CODE, a SWE African American Affinity Group Co-Lead, a SWE Latinos Affinity Group Professional Development Lead, and a Pre-Collegiate Initiative (PCI) Chair for NSBE Boston. She recently became a WiDS Ambassador in 2022 and has a long history of serving as a STEM mentor. She is also a recent recipient of the SWE WE Local 2022 Engaged Advocate Award which honors individuals who contributed to the advancement or acceptance of women in engineering.
In her spare time, she enjoys volunteering, advocating for STEM Youth outreach for underrepresented groups in STEM, and helping as many people as possible via her work and volunteerism.
Louvere volunteers with Black Girls CODE, the National Society of Black Engineers (NSBE), the Society of Women Engineers (SWE), and WiDS. She is a Curriculum Lead for the Boston Chapter of Black Girls CODE, a SWE African American Affinity Group Co-Lead, a SWE Latinos Affinity Group Professional Development Lead, and a Pre-Collegiate Initiative (PCI) Chair for NSBE Boston. She recently became a WiDS Ambassador in 2022 and has a long history of serving as a STEM mentor. She is also a recent recipient of the SWE WE Local 2022 Engaged Advocate Award which honors individuals who contributed to the advancement or acceptance of women in engineering.
In her spare time, she enjoys volunteering, advocating for STEM Youth outreach for underrepresented groups in STEM, and helping as many people as possible via her work and volunteerism.
Workshop: How can we make sense of the unseen world? Using AI, sensors, and loT for scene exploration.
March 7, 2022; 6:15-6:55 am PST at WiDS Worldwide
March 7, 2022; 6:15-6:55 am PST at WiDS Worldwide
Have you wondered about being able to detect buried objects? Do you think your mobile device can be used to detect these buried objects? Metal is all around us and is often not seen but buried.
The detection of metal is in many places on Earth. In fact the detection of metal is connected to a variety of applications such as: to provide insight regarding land use, detection of historic artifacts, determine the presence of various devices, and more.
In our workshop, we will explore using your own mobile device as a metal detector in your local environment. During this workshop we will provide an overview of the basics of sensors, AI, and IoT which will be required for building a prototype of our application. We’ll do hands-on exercises where you will acquire data from sensors, obtain summary statistics on the acquired data, and train a human activity classifier to understand what was done while data was being collected. We will also have an engaged discussion regarding topics to be mindful of with respect to this application such as considerations regarding the collection and usage of location data. You will leave motivated and ready to use sensors, AI, and IoT in your own projects via MATLAB!
The detection of metal is in many places on Earth. In fact the detection of metal is connected to a variety of applications such as: to provide insight regarding land use, detection of historic artifacts, determine the presence of various devices, and more.
In our workshop, we will explore using your own mobile device as a metal detector in your local environment. During this workshop we will provide an overview of the basics of sensors, AI, and IoT which will be required for building a prototype of our application. We’ll do hands-on exercises where you will acquire data from sensors, obtain summary statistics on the acquired data, and train a human activity classifier to understand what was done while data was being collected. We will also have an engaged discussion regarding topics to be mindful of with respect to this application such as considerations regarding the collection and usage of location data. You will leave motivated and ready to use sensors, AI, and IoT in your own projects via MATLAB!
Workshop: How do I get started with Machine Learning?
October 27, 2021; 8:45-9:30 am PST
October 27, 2021; 8:45-9:30 am PST
Data Science workflows typically entail using Machine Learning. Machine Learning can provide insight into various datasets and can assist with automating various types of analysis. In this workshop you, will explore a process for getting started with implementing Machine Learning interactively to train a model to predict tsunami intensity and implement other relevant tasks.
Workshop: Pocket AI and loT, or How to be a Data Scientist using your Mobile Device
September 29, 2021; 8:45-9:30 am PST
September 29, 2021; 8:45-9:30 am PST
Want to learn more about trends like AI, IoT and wearable tech? In one hour, we will cut through the hype by building a “smart” fitness tracker using your own mobile device. We’ll do hands-on exercises: you’ll acquire data from sensors, design a step counter and train a human activity classifier. You will leave motivated and ready to use machine learning and sensors in your own projects!
Workshop: Do You See What I see: Exploration of Using AI and AR
August 25; 8:45-9:30 am PST
August 25; 8:45-9:30 am PST
Welcome to the world of artificial intelligence (AI) and augmented reality (AR)! This workshop explains AI and AR via hands on exercises where you will interact with your augmented world. You will learn about applications where the technologies of AI+AR are combined, their limitations, and their impacts in society. You’ll leave armed with code, inspiration, and an ethical framework for your own projects!
Artificial intelligence (AI) is used in a variety of industries for many applications. AI can be combined with other technologies to assist with understanding implications of certain aspects of applications. In this workshop, you explore how pose estimation results implemented using Deep Learning are impacted based on a location which is provided using augmented reality. These combined technologies provide insight into how poses could be interpreted differently based on a scene. This workshop also raises awareness regarding consequences of using AI for applications that are different from its originally intended use, which could lead to both technical and ethical challenges.
Specific topics that will be covered in this workshop are listed below:
• understand how AI and AR can be used for applications
• explore how to implement AI and AR
• discover what tools can be used to implement AI and AR
• review code that implements pose estimation using AI and changing background scenes using AR
• gain guidance regarding challenges to address societal impacts of the results from applications that use AI and AR
In addition to receiving an overview of terminology and an understanding of the workflows for each topic, code will be provided to demonstrate how to implement these workflows with tools from MathWorks.
Artificial intelligence (AI) is used in a variety of industries for many applications. AI can be combined with other technologies to assist with understanding implications of certain aspects of applications. In this workshop, you explore how pose estimation results implemented using Deep Learning are impacted based on a location which is provided using augmented reality. These combined technologies provide insight into how poses could be interpreted differently based on a scene. This workshop also raises awareness regarding consequences of using AI for applications that are different from its originally intended use, which could lead to both technical and ethical challenges.
Specific topics that will be covered in this workshop are listed below:
• understand how AI and AR can be used for applications
• explore how to implement AI and AR
• discover what tools can be used to implement AI and AR
• review code that implements pose estimation using AI and changing background scenes using AR
• gain guidance regarding challenges to address societal impacts of the results from applications that use AI and AR
In addition to receiving an overview of terminology and an understanding of the workflows for each topic, code will be provided to demonstrate how to implement these workflows with tools from MathWorks.
Workshop: Hands-On Deep Learning and IoT
June 30, 2021; 8:45-9:30 am PST
June 30, 2021; 8:45-9:30 am PST
In this workshop, we engage beginner and intermediate participants interested in getting started with Deep Learning and the Internet of Things (IoT). We’ll do hands-on exercises where you’ll use a webcam and a neural network to recognize images, aggregate data, and run real-time IoT analytics. Our goal is to get you excited about IoT and Deep Learning, and to set you up for success with various types of projects for work, school, and beyond.
Workshop: Pocket AI and loT, or How to be a Data Scientist using your Mobile Device
May 26, 2021; 8:45-9:30 am PST
May 26, 2021; 8:45-9:30 am PST
Want to learn more about trends like AI, IoT and wearable tech? In one hour, we will cut through the hype by building a “smart” fitness tracker using your own mobile device. We’ll do hands-on exercises: you’ll acquire data from sensors, design a step counter and train a human activity classifier. You will leave motivated and ready to use machine learning and sensors in your own projects!
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