News Update

My paper on Multi-lateral Branched Network for Endovascular Tool Segmentation during Robot-assisted Catheterization has been accepted for publication in  IEEE Transactions in Medical Robotics and Bionics.

Congratulations to Wenjing for her new publication on Guidewire Endpoint Detection Based on Pixel-Adjacent Relation during Robot-Assisted Intravascular Catheterization: In Vivo Mammalian Models. The study has been published by Advanced Intelligent Systems. The full article is available online.

Glad to notify that our study on the Development of an Intuitive Interface with Haptic Enhancement for Robot-Assisted Endovascular Intervention has been accepted for publication in  IEEE Transactions on Haptics. The articles can be accessed on IEEE xplore.

Congratulations to Li Jingzhen on the development of a Noninvasive Blood Glucose Monitoring Using Spatiotemporal ECG and PPG Feature Fusion and Weight-Based Choquet Integral Multimodel Approach whihc has been accepted for publication in  IEEE Transactions on Neural Networks and Learning Systems. The articles is available on here.

Congratulations to Toluwanimi for his new publication on Interventionalist Hand Motion Recognition With Convolutional Neural Network in Robot-Assisted Coronary Interventions. The study has been published by IEEE Sensors Journal. Article is available here.

My paper on Weighting-based Deep Ensemble Learning for Recognition of Interventionists’ Hand Motions during Robot-assisted Intravascular Catheterization has been accepted for publication in  IEEE Transactions on Human-Machine Systems. The articles can be accessed on IEEE xplore.

Congratulations to Toluwanimi for his new publication on Adapting Neural-Based Models for Position Error Compensation in Robotic Catheter Systems. The study has been published by Applied Sciences. Article is available here.

Our study on Exploring Operators’ Natural Behaviors to Predict Catheterization Trial Outcomes in Robot-assisted Intravascular Interventions has been accepted for publication in the IEEE Transactions on Medical Robotics and Bionics. The study has been published and available online.

My survey paper: A Review on Flexible Robotic Systems for Minimally Invasive Surgery published in the IEEE Transactions on Systems Man Cybernetics-Systems has been identified as an ESI highly cited article.

As the pioneer on skill assessment in robot-assisted catheterization skill assessment, my team has just published a new study on Exploring Operators’ Natural Behaviors to Predict Catheterization Trial Outcomes in Robot-assisted Intravascular Interventions in the IEEE Transactions on Medical Robotics and Bionics. Article is available here.

I am happy to announce that I have just received the 2022 PengCheng Talent Award in Shenzhen. 


Congratulations to Toluwanimi and Gan for their new publications. The students have developed two different prototypes of FBG-based flexurized sensors for distal force sensing during cardiovascular interventions. The related articles have been published in IEEE Transactions on Instrumentation and Measurement, and IEEE Sensors Letters. Articles are available as PDF1 and PDF2

Happy to announce that my proposal to develop an Intelligent-assisted vascular interventional surgery robot skill learning has received research funding from the Ministry of Science and Technology. This research aims to develop the concept of real-time multimodal data fusion for chatheterization skill assessment during in the field of robot-assisted endovascular interventions.

We have developed new machine learning method for prediabetes diagnosis. Our new study titled: An absolute magnitude deviation of HRV for the prediction of prediabetes with combined artificial neural network and regression tree methods has been published by Artificial Intelligence Review . The full article is available here.

My paper on Automatic Tool Segmentation and Tracking during Robotic Intravascular Catheterization for Cardiac Interventions has been just published in Quantitative Imaging in Medicine and Surgery. The study is aimed to aid interventionalists' visual cues on guidewire navigation during Cardiovascular Interventions. Full article is available here.

Together with Prof. Ojokoh of the Federal Universtiy of Technology Akure, we have made new advances on automating diagnosis and therapy of diabetes mellitus. The related study "An Affective Learning-based System for Diagnosis and Personalized Management of Diabetes Mellitus" has just been published by Future Generation Computer System. The full article is available here.

Olatunji has just received the 2020 Talent Introduction Project Award. Courtesy Ministry of Science and Technology of China.

Our new study Towards Adequate Prediction of Prediabetes using Spatiotemporal ECG and EEG Feature Analysis and Weight-Based Multi-Model Approach, as been accepted for publication in Knowledge-Based Systems. Interested readers can read here.

My proposal on Data-guided Robotic Catheterization for Intelligent Intravascular Cardiac Interventions has been approved.  

Funding Body: Shenzhen National Natural Science Foundation of China

My proposal on Multimodal coupling for Intelligent Robotic Catheterization has been approved.  

Sponsored by National Natural Science Foundation of China.

My proposed fellowship on Research on Multimodal data fusion for Intelligent Robotic Catheterization during Intravascular Cardiac Interventions has been approved.  

Sponsored by CAS President's International Fellowship Initiative.

My PhD study on the development of a Deeply-Learnt Damped Least-Squares Method for Inverse Kinematics of Snake-Like Robots has been accepted in Neural Networks, Elsevier. The full article can be found here. 

Parts of the study won a $1000 USD travel award to attend the 18th IEEE Conference on Industrial Technology, Toronto, Canada last year.

I am glad to announce that I won a research fund of 50,000 RMB (7,500 USD) as a Ph.D. student today. The title of the study is Intelligent Robotic Catheterization System with Two-way Feedback and Axial Navigation Models for Cardiovascular Access. It is sponsored by Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China.

I have advanced a new research area by developing the first automated method for tool navigation during robot-assisted catheterization. More details are available in me new publication titled: Towards Characterization and Adaptive Compensation of Backlash in a Novel Robotic Catheter System for Cardiovascular Intervention which  has just been published in IEEE Transactions on Biomedical Circuits and Systems. The full article can be found here. 

Gee! This "snake" has superb medical skills!

My paper on "Deeply-learnt damped least-squares (DL-DLS) method for inverse kinematics of snake-like robots" got the attention of Chinese media.  

Click here to read more details.