Papers
12
Total Citations
187
H-Index
6
About
John Kalomiros is a researcher whose work spans two deeply interconnected domains: FPGA-based hardware acceleration for computer vision and robotics, and technology education with a focus on K–12 and secondary school learners. His early career established a strong foundation in reconfigurable computing, producing notable contributions such as a fully pipelined FPGA architecture for real-time SIFT feature extraction (34 citations) and hardware-accelerated implementations of the RANSAC algorithm (21 and 13 citations), enabling robust robotic vision at speeds impractical on conventional processors. This thread of work, beginning as early as 2009 with stereo-assisted robot mapping on reconfigurable hardware, reflects a sustained commitment to bridging embedded systems and autonomous robotics. Equally prominent is Kalomiros's contribution to educational robotics. His development of EUROPA — an open-source, open-hardware ROS-based robotic platform — has become a widely recognized tool for teaching STEM concepts, accumulating 53 citations since its 2020 publication. Building on this platform, he has more recently championed AI and machine learning literacy at the secondary level, with papers on robotics-based ML pedagogy (26 citations) continuing to gain traction. Across more than 180 total citations, his career reflects a rare dual expertise: making advanced vision systems faster, and making complex technologies genuinely accessible to young learners.
Research Focus
Key Achievements
Top Papers
- 1
- 2Fully pipelined FPGA-based architecture for real-time SIFT extraction34 citations · 2015
- 3Teaching Machine Learning in K–12 Using Robotics26 citations · 2023
- 4
- 5EUROPA — A ROS-based Open Platform for Educational Robotics15 citations · 2019
- 6Acceleration of RANSAC algorithm for images with affine transformation13 citations · 2016
- 7
- 8
- 9
- 10