(3) Basic programming in C language.

(4) Environmental Engineering design using AutoCAD.

(5) Material selection using CES Edupack.

(3) Basic programming skills using Matlab

(4) Experience working with statistical analysis

He also possesses basic programming skills with C, C++, MATLAB, R, python language. Having taken some MBA and related financial courses and having an interest in economy, he could also analyze a problem from economic and financial perspective, and he is currently doing a small investment project for a start-up in UC Berkeley. Besides, since working on this fire research project, he has also been learning involved knowledge and skills like machine learning methods, computer vision using deep learning, etc.

Mikio is a graduate student in the Department of Mechanical Engineering studying Modeling and Simulations. Alongside his capstone group, he is developing a fire simulation and drone mapping technique to predict fire propagation through physical terrain at low computational costs. His skills and experience come from an interdisciplinary Mechanical Engineering and Material Science background, in addition to extensive material research, including abroad in China and Japan. Specific skills include MATLAB, ANSYS, SOLIDWORKS, material characterization, and technical writing.

(3) Knowledge in material area, physics.

His main interests are Machine Learning, Deep Learning and its application to the modeling and simulation of advanced manufacturing processes. Other interests include swelling and fatigue of batteries, mesh-free particle methods and micro/nano scale self-assembly.

His main research interest is in improving a fully coupled thermo-mechanical MPM/GIMP. Also, he is working on developing a simplified numerical model of surface processes for a Kalman Filter.

After receiving his B.S. in Mechanical Engineering from the University of Florida, he worked at GE as a mechanical design engineer in the consumer products, gas turbine power generation, and oil & gas industries. Outside of his work, he enjoys playing soccer, rock climbing, and road biking. There is nothing better for him than to be out in nature.

David graduated from the University of Maryland, College Park with a BS in mechanical engineering, as well as a BS in computer science. Outside of academics he enjoys hip-hop dance and video/board gaming.

His previous research experience is in photocuring manufacturing processes and mechanical testing of additively manufactured specimens. Outside of research, Roger enjoys playing basketball, volleyball, and exploring.

Her research interests are in additive manufacturing and biomechanics through computational modeling. In her spare time Kate enjoys reading, visiting art museums, and hiking.

As a PhD student in the Mechanical Engineering department, Brian is interested in toolpath & trajectory optimization, as well as model predictive control of additive manufacturing processes. In his spare time, Brian is an avid cyclist and
long-distance runner.

Before entering the grad program at UC Berkeley, he received his B.S. in Mechanical Engineering from Cal Poly SLO and then worked as a manufacturing engineer for Haas Automation supporting varied manufacturing processes in the machine shop through tooling/fixture design, experimental process development, and robotic/automation projects. Outside of research, Zack enjoys spending time outdoors hiking, backpacking, surfing, and going to watch baseball and hockey games.

Payton received his B.S. in Mechanical Engineering from Iowa State University in 2015 and his M.S. in Mechanical Engineering from UC Berkeley in 2018. His research interests are in printed electronics, wearable devices, and environmental sensors. Outside of the lab, Payton enjoys stand-up comedy, mixed-martial arts, and backpacking.

Her undergraduate work was in chemistry and physics, and then went on to work for Bates White Economic Consulting working on quantifying and projecting future damages for the Environmental and Product Liability Practice. She has worked with insurance policies in terms of allocation at BW, and provided information to write policies when she worked at AIG as a risk engineer. Her most recent work has been through the NASA DEVELOP program where she used remote sensing techniques to analyze human-climate interactions for jaguar habitat preservation in Costa Rica.

(3) Simulation and Stochastic Processes.

The goal of his research is to leverage advances in remote sensing, machine learning and data-driven approaches to contribute to understanding of how wildfires affect the built environment.