Momona announced as the winner of the CNT Fernando Family Fund Best Student Paper Award!

Momona Yamagami stands in front of a cherry blossom tree at the "Quad" on the University of Washington campus. She has short black hair and is wearing a navy blue sweater.We are proud to announce that Momona Yamagami was selected as the winner of the first annual CNT (Center for Neurotechnology) Fernando Family Fund Best Student Paper award for her paper titled, “Decoding Intent With Control Theory: Comparing Muscle Versus Manual Interface Performance”. The best paper award was selected based on its significance and potential impact, its technical content, the originality of the proposed research, and the clarity of the solutions presented. Congratulations to Momona!

Elijah Kuska named TL1 scholar, 2020 Cohort

Elijah in a teal hockey jersey and black rectangular glasses smiles in front of a bright orange sunset.

We are very proud to announce that Elijah Kuska is part of a cohort of new trainees in the Institute of Translational Health Sciences (ITHS) TL1 Translational Research Training Program. This is a one-year mentored research training program in translational science in a cross-disciplinary community with training, career development, and team science skills.

Project Title: “Analyzing the complex interaction between impaired neuromuscular and musculoskeletal system to determine if gait abnormalities of children with cerebral palsy are advantageous”. Congratulations Elijah!

 

Congratulations – Damon Ding is awarded UWIN’s Innovation Undergraduate Fellowship in Neuroengineering.

Portrait photo of young man wearing black glasses, navy sweater and white button-up undershirt in front of a tan wallOur undergraduate student, Damon Qilang Ding, has been awarded the Innovation Undergraduate Fellowship  the UW’s Institute for Neuroengineering. The UWIN Fellowship provides funding for Damon to conduct research in his upcoming quarters and is a highly prestigious and selective competition. Congratulations, Damon!

Damon’s research is to lead a fabrication, assembly, and tuning of a dynamic walking bipedal robot, which will serve as a testbed for validating the Ability & Innovation lab’s simulation framework evaluating whether discrepancy modeling with data-driven approaches enables more accurate dynamic solutions of bipedal movement with both unaltered and altered control.