About

I am a Lecturer in Data Science at the University of Derby, with a research focus on artificial intelligence for healthcare and intelligent human–computer interaction. My work centres on developing AI-driven methods for analysing biomedical signals, with applications in assistive and rehabilitation technologies, brain-computer interfaces, and clinical decision support systems.

I am particularly interested in advancing neurorehabilitation and digital health through data-driven approaches that improve patient outcomes and support equitable healthcare delivery. My research has contributed to publications in leading international journals and conferences. Alongside my research, I am committed to high-quality teaching, student mentorship, and collaborative interdisciplinary research.

Teaching responsibilities

• Deliver lectures and lab sessions across data science and computing modules
• Design and develop engaging and inclusive learning materials using digital learning platforms 
• Supervise undergraduate and postgraduate research projects, fostering independent inquiry and critical thinking
• Provide academic guidance, mentorship, and student support
• Support students in developing analytical, problem-solving, and academic writing skills
• Contribute to curriculum design, module leadership, and continuous enhancement of teaching and learning practices

I am committed to delivering high-quality, inclusive teaching that empowers students to develop critical thinking, independent learning, and the skills needed to address real-world challenges.

Professional interests

My professional interests focus on the application of artificial intelligence and data-driven approaches to address real-world challenges in healthcare and related domains, alongside a commitment to responsible and collaborative research.

• Artificial Intelligence in Healthcare
• Digital Health and Assistive Technologies
• Intelligent Human-Computer Interaction
• Improving data-driven decision-making in clinical and healthcare settings
• Ethical, responsible, and inclusive AI
• Interdisciplinary and industry collaboration

Research interests

My research focuses on developing AI-driven methods for analysing biomedical data, with applications in healthcare, assistive technologies, and intelligent human-computer interaction.

• Machine learning and deep learning for biomedical signal processing
• Brain-Computer Interfaces and neural signal analysis
• Pattern recognition and spatiotemporal data modelling
• AI methods for rehabilitation and assistive systems

Membership of professional bodies

• Member, Institute of Electrical and Electronics Engineers (IEEE)
• Member, Association for Information Systems (AIS)

Qualifications

• PhD in Pattern Recognition and Intelligent Systems, University of Chinese Academy of Sciences, China (2021)
• M.Tech in Computer Science, Federal University of Technology, Akure, Nigeria (2015)
• B.Tech in Computer Science, Federal University of Technology, Akure, Nigeria (2010)

Recent conferences

1. Oyemakinde, T. T., Kulwa, F., Mojisola Grace Asogbon, Liu, Y., Pan, J., Cao, J., ... & Li, X. (2025, July). A Pilot Study on Co-located EMG and FMG Transient-phase Signal Fusion Approach for Hand Motion Characterization. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference (Vol. 2025, pp. 1-5). 
2. Kulwa, F., Sarwatt, D. S., Pengrui, T., Mojisola Grace Asogbon, Khushaba, R. N., Fang, P., ... & Li, Y. (2025, July). A Novel Non-Euclidean Adaptive Descriptor for Limb Motion Intent Decoding in EMG-Pattern Recognition System. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference(Vol. 2025, pp. 1-5). 
3. Kulwa, F., Sarwatt, D. S., Mojisola Grace Asogbon, Huang, J., Khushaba, R. N., Oyemakinde, T. T., ... & Li, Y. (2025, July). A Novel Levant's Differentiator-Based Descriptor for EEG-Based Motor Intent Decoding. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference (Vol. 2025, pp. 1-6). 
4. Mojisola Grace Asogbon, Oluwarotimi W. Samuel, Farid Meziane, Guanglin Li, and Yongcheng Li. "Investigation of Artifact Contamination Impact on EEG Oscillations Towards Enhanced Motor Function Characterization." In 17th International Joint Conference on Biomedical Engineering Systems and Technologies-BIOSIGNALS, pp. 755-762. 92277, 2024.
5. Samuel, O. W., Mojisola Grace Asogbon, Kulwa, F., McEwan, A. A., Aboyeji, S. T., Khushaba, R., ... & Li, G. (2024, July). An Efficient Deep Transfer Learning Network for Characterization of Stroke Patients’ Motor Execution from Multi-Channel EEG-Recordings. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1-4). IEEE. 
6. Nsugbe, E., Samuel, O. W., Mojisola Grace Asogbon, & Reyes-Lagos, J. J. (2024). A pilot on the use of stride cadence for the characterization of walking ability in lower limb amputees. Biomedical Engineering Advances, 7, 100117. 
7. Mojisola Grace Asogbon, Huai, Y., Samuel, O. W., Jing, Z., Ma, Y., Liu, J., ... & Li, Y. (2023, July). Analysis of artifactual components rejection threshold towards enhanced characterization of neural activity in post-stroke survivor. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 1-5). IEEE. 
8. Samuel, O. W., Mojisola Grace Asogbon, Kulwa, F., Zangene, A. R., Oyemakinde, T. T., Igbe, T., ... & Li, G. (2023, July). sEnhanced Deep Transfer Learning Model based on Spatial-Temporal driven Scalograms for Precise Decoding of Motor Intent in Stroke Survivors. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 1-4). IEEE. 
9. Kulwa, F., Samuel, O. W., Mojisola Grace Asogbon, Oyemakinde, T. T., Obe, O. O., & Li, G. (2023, June). A novel duo-stage driven deep neural network approach for mitigating electrode shift impact on myoelectric pattern recognition systems. In 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-6). IEEE.
10. Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Ejay Nsugbe, Yazan Ali Jarrah, Shixiong Chen and Guanglin Li "HD-sEMG Signal Denoising Method for Improved Classification Performance in Transhumeral Amputees Prosthesis Control." In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 857-861. IEEE, 2021. 
11. Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Ejay Nsugbe, Yazan Ali Jarrah, Obe Olumide Olayinka, Yanjuan Geng, and Guanglin Li “Deep Learning based Model for Decoding Motion Intent of Traumatic Brain Injured Patients’ using HD-sEMG Recordings,” 2021 IEEE MetroInd40&IoT, Rome, Italy.
12. Yazan, J., Mojisola Grace Asogbon, Samuel, O.W., Chen, S., Li G. A Comparative Analysis on the Impact of Linear and Non-Linear Filtering Techniques on EMG Signal Quality of Transhumeral Amputees. 2021 IEEE MetroInd40&IoT, Rome, Italy. 
13. Ejay Nsugbe, Ibrahim Sanusi, Olusayo Obajemu, Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, and Guanglin Li, A Low Channel Number Sensing Approach for an Ethnic Specific Labour Immanency Prediction using Bio-Electromagnetism. 2021 IEEE MetroInd40&IoT, Rome, Italy.
14. Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Xiangxin Li, Naifu Jiang, Oluwagbenga Paul Idowu, Yanbing Jiang, Yanjuan Geng, Ali H. Al-Timemy, and Guanglin Li. "A Robust Multi-Channel EEG Signals Preprocessing Method for Enhanced Upper Extremity Motor Imagery Decoding." In 2020 IEEE International Conference on Mechatronics and Automation (ICMA), 1929-1934. IEEE, 2020.
15. Yazan, J., Mojisola Grace Asogbon, Samuel, O.W., …, Chen, S., Li G. Enhancement of Upper Limb Movement Classification based on Wiener Filtering Technique. IEEE Int. Conf. on E-health Networking, Application & Services, Dec. 2020.
16. Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, …, Guanglin Li. "Characterizing Multiple Patterns of Motor Intent Using Spatial-Temporal Information for Intuitively Active Motor Training in Stroke Survivors. " 42nd Annual International Conference of the IEEE EMBS, July, Montrel, Canada 2020.
17. Ejay Nsugbe, Oluwarotimi William Samuel, Mojisola Grace Asogbon and Guanglin Li, “A Self-learning and Adaptive Control Scheme for Phantom Prosthesis Control Using Combined Neuromuscular and Brain-Wave Bio-Signals,” 7th Electronic Conference on Sensors and Applications, November 2020. 
18. Deng, H., Cheung, V.C., Geng, Y., Mojisola Grace Asogbon, Samuel, O.W. and Li, G.,. Robustness of Muscle Synergies under Variant Muscle Contraction Force during Forearm Movements. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (pp. 3306-3309). 2020, July. IEEE. 
19. Oluwagbenga Paul Idowu, Oluwarotimi Williams Samuel, Xiangxin Li, Mojisola Grace Asogbon, Peng Fang and Guanglin Li “Efficient Classification of Motor Imagery Using Particle Swarm Optimization-based Neural Network for IoT Applications” 2020 IEEE MetroInd40&IoT, June 3-5, 2020, Rome, Italy.
20. Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Shixiong Chen, Pang Feng, and Guanglin Li*. “A hybrid approach based on non-parametric attribute learning technique and multi-layer networks for congestive heart failure risk prediction,” 2019 IEEE 5th International Conference on Computer and Communications (ICCC), Chengdu, China.
21. Oluwarotimi Williams Samuel, Mojisola Grace Asogbon,… Guanglin Li, “Spatio-Temporal Based Descriptor for Limb Movement-Intent Characterization in EMG-Pattern Recognition System,” 41th Annual Int. Conf. of the IEEE EMBS, July 23-27, 2019, Berlin, Germany.
22. Mzurikwao, D., Oluwarotimi Williams Samuel*, Mojisola Grace Asogbon, Xiangxin Li, Guanglin Li, Woon-Hong Yeo, Christos Efstratiou, and Chee Siang Ang. "A Channel Selection Approach Based on Convolutional Neural Network for Multi-channel EEG Motor Imagery Decoding." In 2019 IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), pp. 195-202. IEEE, 2019.
23. Mojisola Grace Asogbon, Oluwarotimi W. Samuel, Yanjuan Geng, Paul O. Idowu, Shixiong Chen, Naik Ganesh R., Pang Feng, Guanglin Li*, "Enhancing the Robustness of EMG-PR based System against the Combined Influence of Force Variation and Subject Mobility,” IEEE Asia-Pacific Conference on Intelligent Robot Systems, July 20-23, 2018 in Singapore.
24. Mojisola Grace Asogbon, Oluwarotimi W. Samuel, Yanjuan Geng, Shixiong Chen, Deogratias Mzurikwao, Peng Fang, Guanglin Li*, “Effect of Window Conditioning Parameters on the Classification Performance and Stability of EMG-Based Feature Extraction Methods,” IEEE International Conference on Cyborg and Bionic Systems , October 25-27, 2018 in Shenzhen, China.
25. Oluwarotimi W. Samuel, Mojisola Grace Asogbon, Y. Geng, S. Chen, P. Feng, L. Chuang, L. Wang, and Guanglin Li*. “A novel time-domain descriptor for improved prediction of upper limb movement intent in EMG-PR system,” 40th Annual International Conference of the IEEE EMBS (EMBC'18), July 17-21, 2018, Honolulu, Hawaii, USA.
26. Oluwarotimi W. Samuel, Mojisola Grace Asogbon, Yanjuan Geng, Sandeep Pirbhulal, Deogratias Mzurikwao, Shixiong Chen, Peng Fang, and Guanglin Li*, “Determining the Optimal Window Parameters for Accurate and Reliable Decoding of Multiple Classes of Upper Limb Motor Imagery Tasks,” IEEE International Conference on Cyborg and Bionic Systems , October 25-27, 2018 in Shenzhen, China.
27. Deogratias Mzurikwao, Chee Siang Ang, Oluwarotimi W. Samuel, Mojisola Grace Asogbon,  Xiangxin Li, and  Guanglin Li*, “Efficient Channel Selection Approach for Motor Imaginary Classification based on Convolutional Neural Network,” IEEE International Conference on Cyborg and Bionic Systems , October 25-27, 2018 in Shenzhen, China. 

Experience in industry

• IT Supervisor, Resort Savings and Loan Plc, Lagos, Nigeria (2015)
  Managed the banking software systems, databases, and IT infrastructure, ensuring reliability and operational efficiency. Delivered staff training and supported the development and deployment of software solutions.
• IT Assistant Supervisor, Resort Savings and Loan Plc, Lagos, Nigeria (2012–2015)
  Assisted in maintaining database systems and IT services, including troubleshooting technical issues, configuring software, and supporting staff with system-related challenges in a banking environment.
• IT Support Officer, Resort Savings and Loan Plc, Lagos, Nigeria (2011–2012)
  Provided technical support through installation and configuration of computer systems, diagnosing hardware and software faults, and assisting users with IT-related issues.
• IT Support and Services Officer, Sysnet Software Solution, Lagos, Nigeria (2009)
  Supported web application development and basic software tasks, while assisting with routine IT operations and gaining early experience in programming and system support.

International experience

• Postdoctoral Researcher and Teaching Assistant, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China (2021-2023)
  Conducted research in brain-computer interfaces and assistive technologies, supported research activities, and grant applications.
• PhD Researcher / Research Assistant, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China (2017-2021)
  Developed machine learning methods for EMG/EEG signal analysis and supported teaching in pattern recognition and data science.
• Early career experience in IT and computing, Nigeria
  Gained practical experience in IT systems support, software configuration, and user support within a professional environment.

Additional interests and activities

• Student mentoring and academic development
• Collaborative research and grant development
• Community engagement in digital health and AI
• Supporting diversity and inclusion in STEM

Recent publications

1. Kulwa, F., Tai, P., Sarwatt, D. S., Mojisola Grace Asogbon,  Khushaba, R., Oyemakinde, T. T., ... & Li, Y. (2025). A NMF-based non-Euclidean adaptive feature extraction scheme for limb motion pattern decoding in pattern recognition system. IEEE Transactions on Biomedical Engineering.
2. Kulwa, F., Li, Y., Samuel, O. W., Zhang, H., Oyemakinde, T. T., Mojisola Grace Asogbon, ... & Li, G. (2024). A robust feature adaptation approach against variation of muscle contraction forces for myoelectric pattern recognition-based gesture characterization. Biomedical Signal Processing and Control, 95, 106446.
3. Kulwa, F., Zhang, H., Samuel, O. W., Mojisola Grace Asogbon, Scheme, E., Khushaba, R., ... & Li, G. (2023). A multidataset characterization of window-based hyperparameters for deep CNN-driven sEMG pattern recognition. IEEE Transactions on Human-Machine Systems, 54(1), 131-142. 
4. Mojisola Grace Asogbon, Samuel O.W.*, Ensugbe E., et al. (2023). Ascertaining the optimal myoelectric signal recording duration for pattern recognition based prostheses control. Frontiers in Neuroscience, 17. 
5. Zangene, A. R., Samuel, O. W., Abbasi, A., McEwan, A. A., Mojisola Grace Asogbon, Li, G., & Nazarpour, K. (2023). An efficient attention-driven deep neural network approach for continuous estimation of knee joint kinematics via sEMG signals during running. Biomedical Signal Processing and Control, 86, 105103.
6. Samuel O.W.#, Mojisola Grace Asogbon#, Khushaba, R.N., Kulwa, F., Li, G. (2022). Multiresolution Dual-Polynomial Decomposition Approach for Optimized Characterization of Motor Intent in Myoelectric Control Systems. IEEE Transactions on Biomedical Engineering, Nov. 09, 2022. (#: Equal Contributions)
7. Mojisola Grace Asogbon , Oluwarotimi Williams Samuel , Xiangxin Li, Ejay Nsugbe, Erik Scheme, and Guanglin Li “A Linearly Extendible Multi-Artifact Removal Approach for Improved Upper Extremity EEG-based Motor Imagery Decoding,” Journal of Neural Engineering.
8. Mojisola Grace Asogbon, Oluwarotimi Williams Samuel … Guanglin Li, “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, Elsevier, 184, 105278, 2020.
9. Mojisola Grace Asogbon, Yu Lu , Oluwarotimi Williams Samuel, Liwen Jing, Alice A. Miller , Guanglin Li, Kelvin K.L. Wong, “GBRAMP: a generalized backtracking regularized adaptive matching pursuit algorithm for signal reconstruction,” Computers & Electrical Engineering, Elsevier. 92, 107189, 2021.
10. Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Yanbing Jiang, Lin Wang, Yanjuan Geng, Arun Kumar Sangaiah, Shixiong Chen, Peng Fang, and Guanglin Li. "Appropriate Feature Set and Window Parameters Selection for Efficient Motion Intent Characterization towards Intelligently Smart EMG-PR System." Symmetry 12(10), 1710, 2020.
11. Jarrah, Yazan Ali#, Mojisola Grace Asogbon#, Oluwarotimi Williams Samuel, Xin Wang, Mingxing Zhu, Ejay Nsugbe, Shixiong Chen, and Guanglin Li. "High-density surface EMG signal quality enhancement via optimized filtering technique for amputees’ motion intent characterization towards intuitive prostheses control." Biomedical Signal Processing and Control 74 (2022): 103497. (#: Equal Contributions)
12. Oluwarotimi Williams Samuel#, Mojisola Grace Asogbon#, Yanjuan Geng, Naifu Jiang, Deogratias Mzurikwao, Yue Zheng, Kelvin K.L. Wong, Luca Vollero, and Guanglin Li*, “Decoding Movement Intent Patterns based on Spatiotemporal and Adaptive Filtering Method towards Active Motor Training in Stroke Rehabilitation Systems,”  Neural Computing and Applications. (#: Equal Contributions)
13. Oluwarotimi Williams Samuel’s#, Mojisola Grace Asogbon#, Yanjuan Geng… Guanglin Li*, “Intelligent EMG pattern recognition control method for upper-limb multifunctional prostheses: advances, current challenges, and future prospects,” IEEE Access, 7, 10150-10165, 2019. (SCI, #: Equal Contributions)
14. Oluwarotimi Williams Samuel#, Mojisola Grace Asogbon#,K. Sangaiah, Peng Fang, and Guanglin Li*, “An Integrated Decision Support System Based on ANN and Fuzzy_AHP for Heart Failure Risk Prediction,” Expert Systems with Applications (ESWA), Elsevier, 68, 163–172, 2017. (SCI , #: Equal Contributions)
15. Oluwarotimi Williams Samuel, Mojisola Grace Asogbon,K. Sangaiah, Guanglin Li*, “Multi-technique object tracking approach- A reinforcement paradigm,” Computers & Electrical Engineering, Elsevier, 1–12, 2018.
16. Yanbing Jiang, Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Shixiong Chen, and Guanglin Li "Towards optimal selection of stimuli polarity method for effective evoking auditory brainstem responses." Journal of Integrative Neuroscience 20, no. 2 (2021): 297-305.
17. Oluwarotimi Williams Samuel, Bin Yang, Yanjuan Geng, Mojisola Grace Asogbon … Guanglin Li* "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,
18. Oluwarotimi Williams Samuel, Xiangxin Li, Yanjuan Geng, Mojisola Grace Asogbon, Peng Fang, and Guanglin Li, “Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prostheses,” Computers in Biology and Medicine, Elsevier, 90: 76–87, 2017.
19. Ojokoh, Bolanle, Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, and Babatope Sunday Adeniyi. "Fuzzy Driven Decision Support System for Enhanced Employee Performance Appraisal." International Journal of Human Capital and Information Technology Professionals (IJHCITP) 11, no. 1 (2020): 17-30.
20. Nsugbe, Ejay, Oluwarotimi William Samuel, Ibrahim Sanusi, Mojisola Grace Asogbon, and Guanglin Li. "A study on preterm birth predictions using physiological signals, medical health record information, and low‐dimensional embedding methods." IET Cyber‐Systems and Robotics 3, no. 3 (2021): 228-244.
21. Ejay Nsugbe, Oluwarotimi William Samuel, Mojisola Grace Asogbon, and Guanglin Li, “A Contrast of Multi-Resolution Analysis Approach to Transhumeral Phantom Motion Decoding,” CAAI Transactions on Intelligence Technology, 2020.
22. Ejay Nsugbe, Oluwarotimi William Samuel, Mojisola Grace Asogbon, … and Guanglin Li, “Phantom motion intent decoding for transhumeral prosthesis control with fused neuromuscular and brain wave signals. Multidisciplinary digital publishing institute,” IET Cyber-Systems and Robotics, 2020.
23. Mojisola Grace Asogbon and Samuel O.W., “Comparative Analysis of Neural Network and Fuzzy Logic Techniques in Credit Risk Evaluation,” International Journal of Intelligent Information Technologies (IJIIT), IGI, Vol. 12, Issue 1, pp. 47-62, 2016.