Category: Research
Team: Emma Drobina, Alexandra DeLucia, Ashlynn Daughton, Lissa Moore During the summer of 2021, I was part of a team at Los Alamos National Laboratory (LANL) working to…
Team: Emma Drobina, Shusen Liu, Peer-Timo Bremer Machine learning models for scientific applications often learn complex, high-dimensional functions that are difficult to understand on their own. Additionally,…
This paper won the Sue Bogner Healthcare Technical Group Best Student Paper Award at HFES 2019. Team: Rua M. Williams, Kiana Alikhademi, Emma Drobina, Juan E. Gilbert, Tommy…
Team: Rua M. Williams, Jeremy Waisome, Kyla McMullen, Emma Drobina This past week, I co-presented a workshop at the 2019 ACM Tapia Celebration of Diversity in Computing. Inspired…
Team: Mahsan Nourani, Emma Drobina, Brianna Richardson, Prashant Singh As machine learning has become more widespread, the question of explainability has reared its head. Many machine learning algorithms…
Team: Emma Drobina, Dr. Jenay Beer Electronic tutoring agents, such as robots, have much potential to provide customized and engaging education to students. In math education specifically, robots…
Team: Dr. Jenay Beer, Karina Liles, De’aira Bryant, Emma Drobina Abstract: The purpose of this project, headed by Dr. Jenay Beer and Karina Liles, is to gauge the…
Team: Dr. Jenay Beer, Clifton Perry, Professor Scotty Craig, Emma Drobina Abstract: Multimedia lessons are an important part of the set of educational tools. In this study, we…
Team: Xian Wu, Rebecca Thomas, Emma Drobina, Tracy Mitzner, Dr. Jenay Beer Abstract: For older adults with mobility impairment, maintaining health and wellness while aging-in-place independently is crucial….
Team: Xian Wu, Rebecca Thomas, Emma Drobina, Tracy Mitzner, Dr. Jenay Beer Abstract: Mobility is a key component for older adults to maintain wellness and health while…