Marios Vasileiou
Papers
7
Total Citations
129
H-Index
4
About
Marios Vasileiou is a multidisciplinary researcher whose work spans precision agriculture, underwater robotics, and educational technology. He has made notable contributions to the intersection of artificial intelligence and sustainable farming, most prominently through his systematic review on deep learning applications for weed identification, which has garnered an impressive 93 citations and established him as a leading voice in AI-driven weed management strategies. His research highlights how intelligent systems can reduce chemical dependency and promote environmentally responsible agricultural practices. Equally significant is Vasileiou's pioneering work in affordable underwater robotics, where he has designed and fabricated a series of low-cost remotely operated vehicles and robotic arms — including the Kalypso ROV and its associated IURA and MURA robotic arm systems — tailored for aquaculture inspection and maintenance tasks in Greek fish farms. These innovations address real-world industry challenges, offering practical alternatives to costly diver operations. Beyond engineering, Vasileiou demonstrates a commitment to accessible education through platforms like EL Greco, which leverages robotics to teach Python programming remotely. Collectively, his work reflects a researcher passionate about applying emerging technologies across agriculture, marine science, and STEM education to deliver tangible, cost-effective solutions for contemporary challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2A low-cost 3D printed mini underwater vehicle: Design and Fabrication9 citations · 2021
- 3IURA: An Inexpensive Underwater Robotic Arm for Kalypso ROV8 citations · 2022
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