Dr. Olatunji Omisore earned his PhD in Pattern Recognition and Intelligent Systems from the University of the Chinese Academy of Sciences in January 2019. His research aims to reduce global mortality and morbidity rates associated with cardiovascular diseases and cancer. Dr. Omisore’s interests focus on developing AI technologies to advance robotic surgery. He has led extensive research efforts centered on developing physics-based and learning-based methods for intelligent minimally invasive surgical interventions. Between 2019 and 2025, Olatunji worked with the Shenzhen Institute of Advanced Technology (SIAT) as CAS-PIFI Postdoctoral Fellow and Research Associate Professor where he secured multiple competitive grants to develop AI-driven robotic systems and methods for endovascular interventions. Olatunji's research has profound impacts, with 60+ articles published, 2800+ citations (h-index of 27), 5 international patents on prototyping three robotic systems, and industrial collaboration experience with the Shenzhen Ruixin Medical Technology Co., Ltd. Dr. Omisore has successfully supervised multiple HDR students, including two PhD graduates. Olatunji is a member of several professional bodies including the Institute of Electrical and Electronics Engineers, Association for Computing Machinery, Australian Computer Society, and Nigerian Computer Society.
Python
Matlab
I am currently accredited for supervision in the following:
Biomedical Engineering - Biomedical imaging
Control engineering, mechatronics and robotics - Medical robotics
Artificial intelligence - Intelligent robotics
Machine learning - Machine learning not elsewhere classified