Toluwanimi Oluwadara Akinyemi
Chinese Academy of Sciences, Shenzhen University, Shenzhen Institutes of Advanced Technology
Papers
23
Total Citations
338
H-Index
12
About
Toluwanimi Oluwadara Akinyemi is a biomedical engineer and robotics researcher whose work sits at the intersection of medical robotics, minimally invasive surgery, and intelligent sensing systems. His research focuses primarily on robot-assisted endovascular interventions, force sensing technologies, and machine learning applications for cardiac catheterization procedures. Akinyemi has made significant contributions to advancing safer, more precise vascular interventional robotics, including pioneering work on Fiber Bragg Grating-based force sensors capable of millinewton-level sensitivity for intravascular tool-tissue interaction monitoring — a critical challenge in catheter-based cardiac procedures. His 2023 review on robot-assisted endovascular interventions (49 citations) and his complementary 2021 FBG force sensing review (44 citations) have become important reference works in the field. Beyond sensing, Akinyemi has explored deep ensemble learning for hand motion recognition during catheterization, neural network-based position error compensation, and flexible tactile sensors using carbon nanotube composites. His body of work, accumulating over 240 citations, reflects a coherent mission: reducing radiation exposure and procedural risks for both surgeons and patients while improving the autonomy, precision, and intelligence of next-generation robotic surgical platforms.
Research Focus
Key Achievements
Top Papers
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