Abstract – Developments in Computer Aided Design have led to the rise of increased productivity, Product Design / Engineering, and long-term quality surrounding the field of Product Design and Mechanical Engineering. These rapid visualization tools allow design teams to collaborate with utmost efficiency. Design validation using Simulation to characterize Mechanical Stresses, Flow simulation, and Plastic injection molding are available at a fraction of the cost compared to the first advanced CAD systems some 40 years ago. Coupled with rapid prototyping, CAD tools accelerate the development of Prototypes, putting the end product in users’ hands for both Functional and Environmental testing. This lecture will provide the participant with an overview of the design process using SolidWorks CAD software. While explaining the SolidWorks user interface, we will show the construction of Parts, Assemblies, and Drawings. Thereby offering a recipe as to how parts are made. This will include a “layman’s” overview of Boolean logic and the Cartesian Coordinate system as it relates to the creation and modification of 3D Geometric Parts, which is the foundation of most CAD systems. By the end of this lecture you will understand how using 3D CAD can bring your ideas to life!

Mr. Tom Greer’s interest in Design and Mechanical Engineering started as a youth; taking things apart and trying to put them back together without having any spare parts left over. He started drawing, building models and prototypes at an early age, and has continued to do so as owner and founder of Gizmo Design, Inc. over the past 21 years. Tom studied Product Design at Montana State University, with a focus on Biomechanics and Human Factors Engineering. Post-graduate studies include Advanced Composites Engineering and Testing at Mississippi State University’s Raspet Flight Research Laboratory, and Structures and Composites at Stanford University. He worked with Burt Rutan on the Design and construction of the fireproof cabin for the Voyager aircraft, spent years in the Aerospace industry, followed by years as a Designer and Brand Manager in the Bicycle industry, and Hi-tech/ Silicon Valley. Tom worked as the CAD designer with the Television series “Prototype This!”. He holds numerous certifications and Patents, and has taught hundreds of students how to use 3D CAD to bring their ideas to life! In his spare time, Tom enjoys being with his family and friends, music, exploring the outdoors with a fly rod, bicycle, Skis, or backpack, and is an active board member of Trout Unlimited, and of course, still takes apart and fixes things.

Abstract – Inspired by interactive art pieces and all the excitement about AI surrounding us, we wonder what machines and AI can reflect about humans and the interactions with humans. In this talk, you will hear about an AI system that we are creating to reflect on user interaction and to demonstrate how the way the user approaches the system (machine) is perceived by AI. Different machine learning and state of the art AI methods are used to detect the user's emotional state while interacting with the system. The sensory inputs are processed, and will be fused when possible, to extract information from the interaction and improve the results. The perceived interaction results are demonstrated via animations or other visuals in two or three-dimensional settings. The final product has the potential to be integrated into virtual reality or augmented reality applications. This is an interdisciplinary project with collaborators from different backgrounds in CS, EE, and art.

Dr. Nina Marhamati is an Assistant Professor of Computer Science at Sonoma State University and, on the side, provides machine learning consulting services to the industry. She was an Artificial Intelligence Fellow at Insight Data Science and received her PhD in Computer Science from Southern Illinois University, where she was a DRA Fellow and the Outstanding Graduate Assistant in 2016. She was the recipient of the Best Dissertation Award from North American Fuzzy Information Processing Society in 2017. She is passionate for applications of artificial intelligence and machine learning that make day-to-day life easier and more fulfilling. She enjoys working on interdisciplinary projects and her areas of interest include natural language processing, machine learning & data analysis, Bayesian estimation theory, computing with words, and fuzzy logic.