In this talk, I will present basic Bayesian statistics and multi-source Bayesian data fusion methods. It will start with basic statistical definitions, working through a coin flip problem. From there, I will outline multi-source fusion using several simple methods that require the previous Bayesian background. I will also provide several motivating examples, including one drawn…
This talk will report on my experiences as a Mathematician at Space and Naval Warfare (SPAWAR) Systems Center Atlantic. After an introduction, I will provide an overview of SPAWAR Atlantic, talk in general about my opportunities and experiences as a Mathematics PhD in the government, and then give examples of research projects I support. Finally,…
How much is an idea really worth? What defines success for a product? How can we quantify "better" or “worse”? At Microsoft we have tens of thousands of engineers and data scientists trying to improve products that touch over a billion people worldwide. The data scale is enormous, and we're trying to learn from that…
Convex optimization problems appear naturally across the sciences in fields such as compressed sensing, statistics, machine learning, image processing, and inverse problems. This talk will discuss the theory, applications, and methods of proximal minimization: a wide-reaching subset of convex optimization. Advantages: you do not need your optimization problem to be differentiable (e.g. minimization problems with l-1…
The SIAM student chapter will be hosting an introductory lecture aimed at Undergraduates and Graduate students on national SIAM events, SIAM resources, and upcoming student chapter events. Cookies and coffee will be provided.
Machine learning has become widely popular in fields like computer vision, natural language processing, and speech recognition, often performing tasks better than humans. A fundamental building block of many of these algorithms is a neural network known as a multilayer perceptron. In this tutorial we will discuss how to construct these networks and how to train them using back propagation…
Mike Thompson, the Managing Director and CEO of First Analytics, will be giving a seminar on how machine learning and mathematics are used to handle large data analytics programs at First Analytics.
Kitware researchers Dr. Rachel Clipp and Dr. Matt Brown will talk about their transition from academic research to R&D at a private company as well as some of their active projects. Kitware is a software research and development company with expertise in computer vision, data and analytics, high-performance computing and visualization, medical computing, and software…
Profs. Ilse Ipsen, Ralph Smith, and Mansoor Haider will provide their insight on experiences in academic job hiring. This panel will provide graduate students interested in careers in academia with useful advice on job interviews and the job market in academia.
How do we know that we can trust our machine learning models? How do we detect when an adversary is exploiting our machine learning solutions? How does the explainability of machine learning models help the customers of such models versus helping the adversaries of such models? In this talk we will examine recent issues in Machine…
Zoom link: https://ncsu.zoom.us/j/91930283621
Brian Adams and colleagues will conduct a mathematics and statistics-specific information session including a brief overview of SNL’s mission, R&D areas, and opportunities in mathematics, statistics, and computational science. Staff and project profiles will demonstrate the ways you can contribute to high-impact problems in the national interest through fundamental math and computational science R&D, software/hardware development, and…
Zoom link: https://ncsu.zoom.us/j/96495890729?pwd=VUhKZWFKbXBGLy9LVjlJalRsL2RBdz09 Passcode: SIAM Abstract: Join Tracie Ellis, Vice President Business Analytics at Bandwidth, for an informal discussion about her team’s role in creating a data-driven culture at Bandwidth, a software/telecommunications company on Centennial Campus. Tracie will share a bit of background about the company, their data evolution and the qualifications and experience of the Analytics…
Dustin Kapraun attained degrees in mathematics (B.S., 1998), physics (M.S., 2002), and applied mathematics (Ph.D., 2014), all from North Carolina State University. After finishing the Ph.D., he completed two postdoctoral research appointments at the U.S. Environmental Protection Agency (EPA) National Center for Computational Toxicology, during which he developed physiologically based pharmacokinetic (PBPK) models for human…
Machine learning has blown up in popularity in the past decade, with applications from healthcare to self-driving cars, being used to create art, play video games, and act as customer service representatives. One of the most common and useful tools for these applications are neural networks: universal function approximators. This interactive workshop is meant for…
Congratulations, you are graduating with a PhD! You have done fantastic work in your thesis and are ready to take on the world. What is going to happen now? Should you go to industry or academia? You probably heard a lot about both job choices. In this lecture, the speakers, Andrea Klaiber-Langen and Vakhtang Putkaradze,…
The first SIAM event of the semester will be a MATLAB tutorial! This will be a two-part series, starting from the basics of MATLAB coding and building further into more complicated coding necessities. People with all levels of coding backgrounds are welcome to attend and there will be something new for everyone! We especially recommend…
The first SIAM event of the semester will be a MATLAB tutorial! This will be a two-part series, starting from the basics of MATLAB coding and building further into more complicated coding necessities. People with all levels of coding backgrounds are welcome to attend and there will be something new for everyone! We especially recommend…
In this talk, Dr. Olivia Walch, the CEO of Arcascope, will discuss her research into the mathematics of sleep and circadian rhythms modeling, and large scale analysis of wearable data. She will also discuss her journey from being a post-doc to forming her own start-up, as well as the challenges and opportunities in taking these mathematical…
Founded in 2004, Vadum delivers cutting-edge solutions to customers in the competitive field of national defense research and development. Vadum got its start developing innovative tools and techniques to protect personnel from improvised explosive devices used in Iraq and Afghanistan. Vadum has grown to tackle larger and more complex defense challenges in a range of…