Mong‐Fong Horng

About

Mong-Fong Horng is a researcher whose work bridges artificial intelligence, robotics, and software engineering. His key research areas include applied intelligence, autonomous systems, and intelligent software retrieval. Horng’s most notable contribution is his work on "Modern Advances in Applied Intelligence" (2014), which has garnered 22 citations, reflecting its influence in the field. He has also made significant strides in underwater robotics, as demonstrated by his 2019 study on a parallel genetic approach to path-planning for multi-AUG (Autonomous Underwater Glider) deployment, which addresses the critical challenge of upstream-current avoidance. This work, while still emerging with 6 citations, showcases his innovative application of evolutionary algorithms to real-world navigation problems. Earlier in his career, Horng developed a neuro-fuzzy based search robot for software components (1999), a personalized retrieval system that automatically locates and classifies reusable software components from web servers. This early work, with 2 citations, laid groundwork for intelligent software discovery. Horng’s research consistently demonstrates a commitment to solving complex, interdisciplinary problems, making him a valuable contributor to applied intelligence and autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Modern Advances in Applied Intelligence

   22 citations · 2014
2. 2
   A parallel genetic approach to path-planning with upstream-current avoidance for multi-AUG deployment

   6 citations · 2019
3. 3
   NEURO-FUZZY BASED SEARCH ROBOT FOR SOFTWARE COMPONENTS

   2 citations · 1999

Key Collaborators

Contact & Links