Institution profile

University of Hawaii at Manoa

Academic institutionnorthamerica · us
Official website
Research library33linked papers
Opportunities0open roles
Selected work

Representative Papers

Hoverflie: An empirical investigation of rotor shrouds to transform micro air vehicles into multi-modal hovercraft

Aug 06, 2026

This study addresses the limited flight endurance and adverse aerodynamic effects experienced by micro-rotorcraft during low-altitude indoor operations. To overcome these challenges, the authors propose a lightweight, custom-designed shroud that endows the Crazyflie 2.1 platform with dual-mode capability—efficient ground-effect (cushion) flight and conventional free-flight. Leveraging thin-wall thermoforming fabrication, parametric geometric evaluation, empirical force modeling, and automated data collection, the optimized shroud significantly enhances beneficial ground effect while mitigating the detrimental suction effect at intermediate heights. Experimental results demonstrate that the refined configuration achieves nearly a threefold increase in lift within ground effect, extends hover endurance by 60% on a single charge, and incurs only a 30% reduction in free-flight duration. Moreover, the system enables stable transitions between flight modes and accurate trajectory tracking.

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Exploring Dependence, Overreliance, and Addiction Related Behaviors Associated with Large Language Model Use Among Software Engineers

Aug 05, 2026

This study systematically identifies and differentiates functional dependency, overreliance, and addiction-like behaviors in the use of large language models (LLMs) within software engineering. Through a survey of 119 software practitioners, complemented by descriptive statistics and thematic analysis of open-ended responses, the research reveals that LLMs have become deeply integrated into development workflows. Most developers exhibit functional dependency, leveraging LLMs as productive tools without impairment. Overreliance manifests as a preference for consulting LLMs over official documentation or colleagues, potentially compromising solution quality. Addiction-like behaviors are relatively rare but characterized by difficulties in usage moderation and emotional attachment. The findings provide an empirical foundation and a behavioral classification framework for understanding the nuanced impacts of LLM adoption in software development.

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Recent publications

Latest Papers

Hoverflie: An empirical investigation of rotor shrouds to transform micro air vehicles into multi-modal hovercraft

Aug 06, 2026

This study addresses the limited flight endurance and adverse aerodynamic effects experienced by micro-rotorcraft during low-altitude indoor operations. To overcome these challenges, the authors propose a lightweight, custom-designed shroud that endows the Crazyflie 2.1 platform with dual-mode capability—efficient ground-effect (cushion) flight and conventional free-flight. Leveraging thin-wall thermoforming fabrication, parametric geometric evaluation, empirical force modeling, and automated data collection, the optimized shroud significantly enhances beneficial ground effect while mitigating the detrimental suction effect at intermediate heights. Experimental results demonstrate that the refined configuration achieves nearly a threefold increase in lift within ground effect, extends hover endurance by 60% on a single charge, and incurs only a 30% reduction in free-flight duration. Moreover, the system enables stable transitions between flight modes and accurate trajectory tracking.

0 citationsRead paper

Exploring Dependence, Overreliance, and Addiction Related Behaviors Associated with Large Language Model Use Among Software Engineers

Aug 05, 2026

This study systematically identifies and differentiates functional dependency, overreliance, and addiction-like behaviors in the use of large language models (LLMs) within software engineering. Through a survey of 119 software practitioners, complemented by descriptive statistics and thematic analysis of open-ended responses, the research reveals that LLMs have become deeply integrated into development workflows. Most developers exhibit functional dependency, leveraging LLMs as productive tools without impairment. Overreliance manifests as a preference for consulting LLMs over official documentation or colleagues, potentially compromising solution quality. Addiction-like behaviors are relatively rare but characterized by difficulties in usage moderation and emotional attachment. The findings provide an empirical foundation and a behavioral classification framework for understanding the nuanced impacts of LLM adoption in software development.

0 citationsRead paper