Papers
2
Total Citations
7
H-Index
2
About
Vivek Maik’s research lies at the intersection of computer vision, robotics, and medical technology, with a focus on object tracking and image-guided surgical systems. His work on adaptive Kalman filtering for block motion estimation has advanced the reliability of moving object tracking—a critical component for applications in surveillance, autonomous navigation, and AI-driven robotics. This foundational contribution, cited in multiple studies, demonstrates his ability to enhance real-time tracking accuracy under dynamic conditions. More recently, Maik has pioneered a hybrid-layered system for robot-assisted spine surgeries, integrating navigation guidance with imaging to address the growing need for precise, cost-effective solutions in Image-Guided Spine Surgery (IGSS). This work, published in 2024, showcases his commitment to translating computer vision research into tangible medical innovations, improving surgical outcomes and accessibility. With over 4 citations on his tracking work and growing recognition for his surgical systems, Maik’s research bridges theoretical advances and practical applications, making him a notable figure in both robotics and biomedical engineering.
Research Focus
Key Achievements
Top Papers
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