Rehabilitation Engineering and Electromechanical Design Lab
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Adila Hoque received her BSc. in Mechanical Engineering from the University of South Florida in August 2019 and is continuing her education with her M.S. at USF from Fall 2020. Research: Adila is pursuing a thesis based Masters in Rehabilitative Technology, and plans on joining the Reed Lab starting this fall. |
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Scott Bartlett received his BSc. in Mechanical Engineering from the University of South Florida in May 2019 and formerly worked as a Manufacturing Engineer for Volvo Group Trucks.
Research: Since joining REED lab in 2021, he received his M.S.M.E. after successfully defending his thesis on harnessing multimodal sensory stimuli in Fall 2023 and is currently working on his Ph.D. |
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Angelica Solano-Salgado is an International Student from Colombia who has received her BSc. In Mechanical Engineering from the University of South Florida in December 2023. Since Spring 2024 she has continued her education at the University of South Florida by pursuing a M.S.M.E.
Research: Angelica is pursuing a thesis-based M.S.M.E. in overground gait rehabilitation and wearable technology. |
Undergraduate Students:
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Joao Flavio Peccini Camara is an international student from Brazil pursuing a BSc in Mechanical Engineering, set to graduate in 2026. He joined Reed's Laboratory as a Research Assistant in the summer of 2024. Research: Joao is currently working on setting up Haptic devices for the Haptics course and assisting graduate students on their projects while evaluating what research he would like to pursue. |  |
Mitchell Lisman is a Mechanical Engineering major and Aerospace Engineering minor at the University of South Florida, set to graduate in May 2026. A Florida native, he started working as a Research Assistant at Reed’s Laboratory in Fall 2024. Research: Mitchell is involved in developing diagnostic devices. His primary focus is on devices that assists in diagnosing Parkinson’s disease. His work mainly revolves around programming, designing, and assembling Arduino-based devices to improve clinical accuracy and reliability. |
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