General
Oluwarotimi Williams SAMUEL Male Master Supervisor, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Email: samuel@siat.ac.cn
Address: No. 1068 Xueyuan Avenue, Shenzhen University Town, Xili, Nanshan District, Shenzhen
Postcode:
Department/Laboratory: Institute of Integration


Research Areas

Admissions Major
081104-Pattern Recognition and Intelligent System
Enrollment direction
Pattern recognition and intelligent system, human-machine interface, machine learning
rehabilitation robot, biomedical signal processing and control


Education

2014-09--2018-01 University of Chinese Academy of Sciences Ph.D.

2011-01--2014-04 Federal University of Technology Master.

2005-10--2009-02 Kogi State University Bachelor


Experience

   
Work Experience

2020-01~To date, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Associate Professor

2018-01~2020-01, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Postdoctoral Researcher


Teaching Experience

Aside from conducting scientific research, I also engage in teaching activities in the Institution. And this gives me the opportunity to formally impart graduate students (Masters and Doctoral students) with theoretical and practical experiences gained mainly from researches in AI and ML applications, Signal processing, Process optimization, Human-computer interfaces and so on. The courses taken are:

• Course Title: Pattern Recognition (for Doctoral Students)

• Course Title: Data Science (for Masters Students)




Publications

(1) Towards Resolving the Co-existing Impacts of Multiple Dynamic Factors on the Performance of EMG-Pattern Recognition based Prostheses, Computer Methods and Programs in Biomedicine, 2020, (First Author)
(2) A new technique for the prediction of heart failure risk driven by hierarchical neighborhood component-based learning and adaptive multi-layer networks, Future Generation Computer Systems, 2019, (First Author)
(3) Intelligent EMG pattern recognition control method for upper-limb multifunctional prostheses: advances, current challenges, and future prospects, IEEE Access, 2019, (First Author)
(4) Pattern recognition of electromyography signals based on novel time domain features for amputees, Computers & Electrical Engineering, Elsevier, 2018, (First Author)
(5) Multi-technique object tracking approach-A reinforcement paradigm, Computers & Electrical Engineering, 2018, (First Author)
(6) Adaptive context aware decision computing paradigm for intensive health care delivery in smart cities—A case analysis, Sustainable Cities and Society, 2018, (Corresponding Author)
(7) Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prostheses, Computers in Biology and Medicine, 2017, (First Author)
(8) An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction, Expert Systems With Applications (ESWA), 2017,(First Author)
(9) Towards efficient decoding of multiple classes of motor imagery limb movements based on EEG spectral and time domain descriptors, Journal of Medical Systems, 2017, (First Author)
(10) A Motion- Classification Strategy Based on sEMG-EEG Signal Combination for Upper-Limb Amputees, Journal of NeuroEngineering and Rehabilitation, 2017, (First Author)


Papers
(1) Towards Resolving the Co-existing Impacts of Multiple Dynamic Factors on the Performance of EMG-Pattern Recognition based Prostheses, Computer Methods and Programs in Biomedicine, 2020, (First Author)
(2) A new technique for the prediction of heart failure risk driven by hierarchical neighborhood component-based learning and adaptive multi-layer networks, Future Generation Computer Systems, 2019, (First Author)
(3) Intelligent EMG pattern recognition control method for upper-limb multifunctional prostheses: advances, current challenges, and future prospects, IEEE Access, 2019, (First Author)
(4) Pattern recognition of electromyography signals based on novel time domain features for amputees, Computers & Electrical Engineering, Elsevier, 2018, (First Author)
(5) Multi-technique object tracking approach-A reinforcement paradigm, Computers & Electrical Engineering, 2018, (First Author)
(6) Adaptive context aware decision computing paradigm for intensive health care delivery in smart cities—A case analysis, Sustainable Cities and Society, 2018, (Corresponding Author)
(7) Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prostheses, Computers in Biology and Medicine, 2017, (First Author)
(8) An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction, Expert Systems With Applications (ESWA), 2017,(First Author)
(9) Towards efficient decoding of multiple classes of motor imagery limb movements based on EEG spectral and time domain descriptors, Journal of Medical Systems, 2017, (First Author)
(10) A Motion- Classification Strategy Based on sEMG-EEG Signal Combination for Upper-Limb Amputees, Journal of NeuroEngineering and Rehabilitation, 2017, (First Author)



Conferences

(1)Spatio-Temporal Based Descriptor for Limb Movement-Intent Characterization in EMG-Pattern Recognition System   2019-07-23
(2)Intelligently Optimized Pattern Recognition-basedMethods for Upper-Limb Motor Function Restoration  (Invited Talk)  2019-05-16
(3)Determining the Optimal Window Parameters for Accurate and Reliable Decoding of Multiple Classes of Upper Limb Motor Imagery Tasks   2018-10-25
(4)A Novel Time-Domain Descriptor for Improved Prediction of Upper Limb Movement Intent in EMG-PR System   2018-07-17
(5)Motor Imagery Classification of Upper Limb Movements Based on Spectral Domain Features of EEG Patterns   2017-07-11
(6)Examining the Effect of Subjects’ Mobility on Upper-Limb Motion Identification Based on EMG-Pattern Recognition   2016-07-20
(7)A Hybrid Non-Invasive Method for the Classification of Amputee’s Hand and Wrist Movements   2015-10-09
(8)Upper Extremity Function Restoration using Advanced Rehabilitation Technology   2015-07-01