

About Me
Dr. Happy Nkanta Monday stands at the forefront of groundbreaking research in the dynamic fields of deep learning, machine vision, machine learning, neural networks, and image processing. As an Associate Professor, he embodies the essence of a Sino-British collaboration in education, driving the boundaries of computational science through innovative research and passionate teaching. Dr. Monday's academic journey is one of exceptional distinction. He holds a master's and a doctoral degree in Electronic Science and Technology and Computer Science and Technology, respectively, both from the University of Electronic Science and Technology of China (UESTC). This solid foundation has underpinned a prolific career, with over 75+ academic papers published in journals and conferences, marking him as a leader in his field. Recognition of his contributions includes the prestigious Best Paper Awards (PRAI'21), Best Oral Presentation Awards (ICAIT'2024), and the UESTC Academic and Excellence Performance Award, accolades that highlight his research's impact and his dedication to academic excellence. He is recognized for his expertise in machine learning, deep learning, and computer vision, focusing on applications in medical image processing and analysis. His research, which has garnered over 880 citations with an h-index of 16, emphasizes innovative solutions in AI, wavelet transform, and image recognition. Beyond his achievements, Dr. Monday is a committed educator and innovator, co-founding the computing research team. This initiative not only advances research within the institution but also nurtures the next generation of scientists and engineers. His roles on the undergraduate project committee board further attest to his commitment to academic rigor and the success of his students. In every capacity, whether as a researcher, lecturer, or mentor, Dr. Happy Nkanta Monday exemplifies leadership, dedication, and innovation, contributing significantly to the advancement of computational sciences and shaping the minds that will lead tomorrow's technological frontiers.
Medical Image Processing and Analysis
Large Language Model (LLM)
Retrieval-Augmented Generation (RAG)
Agentic AI
Medical Image Disease Diagnosis
Biomedical informatics
Artificial Intelligence
Industrial Informatics
Machine Learning
Agricultural Informatics
Environmental Sustainability
Energy Informatics
Deep Learning
Pattern Recognition
Business Intelligence and Informatics
Dr. Happy Monday is honored to receive the
Outstanding Instructor Award,
becoming the first foreign lecturer
in Chengdu University of Technology history
to earn this recognition. This award was presented in acknowledgment of his role as
Co-Lead Instructor for the
first CSC-sponsored Summer School Program
in CDUT history.
This recognition underscores his dedication to academic excellence, international collaboration,
and advancing innovative teaching in Artificial Intelligence.
Dr. Happy Monday is deeply honored to be nominated by the
Chinese Government Council under the
Chinese Scholarship Council (CSC) as one of the
Lead Instructors for the
2025 CDUT International Summer School on
AI-driven Sustainable Urban Development.
This prestigious selection reflects his continued commitment to excellence in teaching, research, international collaboration, and the advancement of cutting-edge AI solutions for global challenges.
For the first time, the research achievements of our students guided by Dr. Happy and Dr. Grace have been published in a top-tier international journal, marking a significant milestone for the College of International Education, Chengdu University of Technology Oxford Brookes College. Impact Factor:8.9 Computers and Electronics in Agriculture.
Happy N. Monday is serving as a member of the Technical Committee for the 2025 IEEE 8th International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2025), August 15-17, 2025.
Happy N. Monday is honored to be nominated as a co-lead Instructor for the 2025 CDUT International Summer School Program on AI, June 14 - July 28, 2025. Many thanks for the acknowledgment.
Our work “Attention-Enhanced Ensemble Learning for Diabetic Retinopathy Classification with Interpretability” is selected as one of the 2024 ICAIT Best Oral Presentation Award.
Happy N. Monday was nominated as one of the foreign experts in China by the Ministry of Foreign Expert Bureau to join in the Foreign Expert Workshop "Walk into the Glamourous Chengdu", (2024/09).
Happy served as a member of the Technical Committee, 8th International Conference on Algorithms, Computing and Systems (ICACS 2024: http://icacs.org), Hong Kong, October 11-13, (2024)
Happy served as a member of the Technical Committee Member, International Computer Conference on Wavelet Active Media Technology and Information Processing, (2024)
Happy N. Monday is the Co-Chair of the Computing Research Team at the Oxford Brookes University of Chengdu University of Technology, (2023)
Happy N. Monday joined Oxford Brookes University of Chengdu University of Technology Computing Department and will teach CHC 6781 Machine Vision in Autumn 2022 and conduct research. (2022/08)
Our work “The capability of multi-resolution analysis: A case study of COVID-19 diagnosis” is selected as one of the 2021 PRAI Best Paper Award. (2021)
Xudong Li, Yutong Wang, Happy Nkanta Monday, Grace Ugochi Nneji,“A novel residual learning of multi-scale feature extraction model for the classification of rice grain varieties”, Computers and Electronics in Agriculture 237 (June 2025): 110491. [PDF]
Happy Nkanta Monday, Grace Ugochi Nneji, Md Altab Hossin, Kelvin Davies Mark, Edwin Sunday Umana, Goodness Temofe Mgbejime,Jianping Li, “Enhancing ECG Classification in Cardiac Diagnostics: A Novel Approach Using Adaptive Focal Cross-Entropy Loss Function”, IEEE Journal of Biomedical and Health Informatics 197 (May 2025) 150-157. [PDF]
Nneji, G.U., Monday, H.N., Pathapati, V.S.R. et al. “FFS-IML: fusion-based statistical feature selection for machine learning-driven interpretability of chronic kidney disease”, Int. J. Mach. Learn. & Cyber. (April 2025). [PDF]
📚 Associate Professor
Chengdu University of Technology Oxford Brookes College, April 2025 – Present
🎓 Postgraduate Certificate in International Education (PGCiE)
Staffordshire University, UK. 2023
🧪 Senior Research Fellow
Chengdu University of Technology Oxford Brookes College (CDUT), Aug 2022 – Mar 2025
🎓 Ph.D. in Computer Science
University of Electronic Science and Technology of China (UESTC), 2022
🎓 MEng. in Electronic Science and Technology
University of Electronic Science and Technology of China (UESTC), 2018
🎓 BEng. in Engineering
Federal University of Technology, Akure (FUTA), 2014
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